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Chiba I, Nakaya N, Kogure M, Hatanaka R, Nakaya K, Tokioka S, Nakamura T, Nagaie S, Fuse N, Obara T, Kotozaki Y, Tanno K, Kuriyama S, Hozawa A. Associations between housing and psychological damage by earthquake and modifiable risk factors for dementia in general older adults: Tohoku Medical Megabank community-based cohort study. Geriatr Gerontol Int 2024. [PMID: 38700081 DOI: 10.1111/ggi.14867] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Revised: 03/07/2024] [Accepted: 03/22/2024] [Indexed: 05/05/2024]
Abstract
AIM To evaluate the association between housing and psychological damage caused by the Great East Japan Earthquake (GEJE) and modifiable risk factors (MRFs) of dementia for general population of older adults. METHODS This cross-sectional study enrolled 29 039 community-dwelling older adults (mean age 69.1 ± 2.9 years, 55.5% women). We evaluated disaster-related damage (by complete or not complete housing damage) and psychological damage (by post-traumatic stress reaction [PTSR]) after the GEJE using a self-report questionnaire. MRFs encompassed the presence of depression, social isolation, physical inactivity, smoking, and diabetes. We examined the association between disaster-related damage and MRFs using ordinary least squares and modified Poisson regression models adjusted for sociodemographic and health status variables. RESULTS Complete housing damage and PTSR were identified in 2704 (10.0%) and 855 (3.2%) individuals, respectively. The number of MRFs was significantly larger for the individuals with complete housing damage (β = 0.23; 95% confidence interval [CI]: 0.19-0.27) and PTSR (β = 0.60; 95% CI: 0.53-0.67). Prevalence ratios (PRs) for depression and physical inactivity were higher in individuals with complete housing damage. The PRs for all domains of the MRFs were significantly higher in individuals with PTSR. CONCLUSIONS Housing and psychological damage caused by the GEJE were associated with an increased risk factor of dementia. To attenuate the risk of dementia, especially among older victims who have experienced housing and psychological damage after a disaster, multidimensional support across various aspects of MRFs is required. Geriatr Gerontol Int 2024; ••: ••-••.
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Affiliation(s)
- Ippei Chiba
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Naoki Nakaya
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Mana Kogure
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Rieko Hatanaka
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Kumi Nakaya
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Sayuri Tokioka
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Tomohiro Nakamura
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Faculty of Data Science, Kyoto Women's University, Kyoto, Japan
| | - Satoshi Nagaie
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Nobuo Fuse
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Taku Obara
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Yuka Kotozaki
- Division of Clinical Research and Epidemiology, Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Morioka, Japan
- Department of Hygiene and Preventive Medicine, School of Medicine, Iwate Medical University, Morioka, Japan
| | - Kozo Tanno
- Division of Clinical Research and Epidemiology, Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Morioka, Japan
- Department of Hygiene and Preventive Medicine, School of Medicine, Iwate Medical University, Morioka, Japan
| | - Shinichi Kuriyama
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Atsushi Hozawa
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
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Tsubota-Utsugi M, Sasaki R, Suzuki R, Tanno K, Kuno J, Shimoda H, Sakata K. Changes in physical activity during the year after the Great East Japan Earthquake and future frailty in older survivors. Geriatr Gerontol Int 2024. [PMID: 38685861 DOI: 10.1111/ggi.14882] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Revised: 03/18/2024] [Accepted: 04/04/2024] [Indexed: 05/02/2024]
Abstract
AIM This study examines whether changes in physical activity (PA) during the first year after the Great East Japan Earthquake and Tsunami (2011-2012) contributed to preventing the onset of future frailty among older survivors of the disaster. METHODS This study tracked 2561 physically active Japanese survivors aged ≥ 65 years (43.6% men; mean age 72.9 years) who had completed self-administered questionnaires in 2011 and 2012. PA levels for participants were classified into four categories based on ≥23 and <23 metabolic equivalent hours/week in 2011 and 2012: "consistently low," "decreasing," "increasing," and "consistently high." Frailty was defined as a Kihon Checklist score ≥ 5, which is used in the long-term care insurance system in Japan. Hazard ratios were calculated for the onset of frailty using a Cox proportional hazards model that fitted the proportional sub-distribution hazards regression model with weights for competing risks of death. RESULTS From 2012 to 2018, 283 men and 490 women developed frailty. Men with consistently high or increasing PA during the first year after the disaster had a lower risk of frailty. Furthermore, even increasing PA by walking for just 30 min/day prevented future frailty in men; however, this association between a change in PA and the decreased risk of frailty was not observed in women. CONCLUSIONS Older men who remained physically active or resumed PA at an early stage and at a low intensity, even after being physically inactive owing to the disaster, were able to prevent future frailty. Geriatr Gerontol Int 2024; ••: ••-••.
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Affiliation(s)
- Megumi Tsubota-Utsugi
- Department of Hygiene and Public Health, Teikyo University School of Medicine, Tokyo, Japan
- Department of Hygiene and Preventive Medicine, Iwate Medical University School of Medicine, Iwate, Japan
| | - Ryohei Sasaki
- Department of Human Sciences, Center for Liberal Arts and Sciences, Iwate Medical University, Iwate, Japan
| | - Ruriko Suzuki
- Faculty of Nursing, Graduate School of Nursing Sciences, Iwate University of Health and Medical Sciences, Iwate, Japan
| | - Kozo Tanno
- Department of Hygiene and Preventive Medicine, Iwate Medical University School of Medicine, Iwate, Japan
| | - Junji Kuno
- Department of Hygiene and Preventive Medicine, Iwate Medical University School of Medicine, Iwate, Japan
| | - Haruki Shimoda
- Department of Hygiene and Preventive Medicine, Iwate Medical University School of Medicine, Iwate, Japan
| | - Kiyomi Sakata
- Department of Hygiene and Preventive Medicine, Iwate Medical University School of Medicine, Iwate, Japan
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Tanno K. Which Metabolites are Involved in the Pathogenesis of Atherosclerotic Disease in NAFLD? J Atheroscler Thromb 2024:ED260. [PMID: 38644202 DOI: 10.5551/jat.ed260] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/23/2024] Open
Affiliation(s)
- Kozo Tanno
- Department of Hygiene and Preventive Medicine, School of Medicine, Iwate Medical University
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Narita Z, Hidese S, Kanehara R, Tachimori H, Hori H, Kim Y, Kunugi H, Arima K, Mizukami S, Tanno K, Takanashi N, Yamagishi K, Muraki I, Yasuda N, Saito I, Maruyama K, Yamaji T, Iwasaki M, Inoue M, Tsugane S, Sawada N. Association of sugary drinks, carbonated beverages, vegetable and fruit juices, sweetened and black coffee, and green tea with subsequent depression: A five-year cohort study. Clin Nutr 2024; 43:1395-1404. [PMID: 38691982 DOI: 10.1016/j.clnu.2024.04.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Revised: 04/10/2024] [Accepted: 04/12/2024] [Indexed: 05/03/2024]
Abstract
BACKGROUND & AIMS Evidence on the impact of beverage consumption on depression is limited in the Asian population. Specifically, there is little information available on vegetable and fruit juices, while whole vegetables and fruits are reportedly protective against depression. Furthermore, evidence is scarce in differentiating the impacts of sweetened and black coffee. We aimed to examine the association of the consumption of total sugary drinks, carbonated beverages, vegetable and fruit juices, sweetened and black coffee, and green tea with subsequent depression in a general population sample. METHODS We studied individuals without a history of cancer, myocardial infarction, stroke, diabetes, or depression at baseline in 2011-2016, with a five-year follow-up. We used Poisson regression models and the g-formula, thereby calculating the risk difference (RD) for depression. Multiple sensitivity analyses were conducted. Missing data were handled using random forest imputation. We also examined effect heterogeneity based on sex, age, and body mass index by analyzing the relative excess risk due to interaction and the ratio of risk ratios. RESULTS In total, 94,873 individuals were evaluated, and 80,497 completed the five-year follow-up survey for depression. Of these, 18,172 showed depression. When comparing the high consumption group with the no consumption group, the fully adjusted RD (95% CI) was 3.6% (2.8% to 4.3%) for total sugary drinks, 3.5% (2.1% to 4.7%) for carbonated beverages, 2.3% (1.3% to 3.4%) for vegetable juice, 2.4% (1.1% to 3.6%) for 100% fruit juice, and 2.6% (1.9% to 3.5%) for sweetened coffee. In contrast, the fully adjusted RD (95% CI) was -1.7% (-2.6% to -0.7%) for black coffee. The fully adjusted RD for green tea did not reach statistical significance. The results were robust in multiple sensitivity analyses. We did not find substantial effect heterogeneity based on sex, age, and body mass index. CONCLUSIONS Total sugary drinks, carbonated beverages, vegetable and fruit juices, and sweetened coffee may increase the risk of depression, whereas black coffee may decrease it.
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Affiliation(s)
- Zui Narita
- Department of Behavioral Medicine, National Institute of Mental Health, National Center of Neurology and Psychiatry, Kodaira, Japan
| | | | - Rieko Kanehara
- Division of Cohort Research, National Cancer Center Institute for Cancer Control, Tokyo, Japan
| | - Hisateru Tachimori
- Department of Information Medicine, National Institute of Neuroscience, National Center of Neurology and Psychiatry, Tokyo, Japan; Endowed Course for Health System Innovation, Keio University School of Medicine, Tokyo, Japan
| | - Hiroaki Hori
- Department of Behavioral Medicine, National Institute of Mental Health, National Center of Neurology and Psychiatry, Kodaira, Japan
| | - Yoshiharu Kim
- Department of Behavioral Medicine, National Institute of Mental Health, National Center of Neurology and Psychiatry, Kodaira, Japan
| | - Hiroshi Kunugi
- Department of Psychiatry, Teikyo University, Tokyo, Japan
| | - Kazuhiko Arima
- Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan
| | - Satoshi Mizukami
- Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan
| | - Kozo Tanno
- Department of Hygiene and Preventive Medicine, Iwate Medical University, Yahaba-cho, Japan
| | - Nobuyuki Takanashi
- Department of Hygiene and Preventive Medicine, Iwate Medical University, Yahaba-cho, Japan
| | - Kazumasa Yamagishi
- Department of Public Health Medicine, Institute of Medicine, and Health Services Research and Development Center, University of Tsukuba, Tsukuba, Japan; Ibaraki Western Medical Center, Chikusei, Japan
| | - Isao Muraki
- Public Health, Department of Social Medicine, Graduate School of Medicine, Osaka University, Japan
| | - Nobufumi Yasuda
- Department of Public Health, Kochi University Medical School, Kochi, Japan
| | - Isao Saito
- Department of Public Health and Epidemiology, Faculty of Medicine, Oita University, Yufu, Japan
| | - Koutatsu Maruyama
- Department of Bioscience, Graduate School of Agriculture, Ehime University, Matsuyama, Japan
| | - Taiki Yamaji
- Division of Epidemiology, National Cancer Center Institute for Cancer Control, Tokyo, Japan
| | - Motoki Iwasaki
- Division of Cohort Research, National Cancer Center Institute for Cancer Control, Tokyo, Japan; Division of Epidemiology, National Cancer Center Institute for Cancer Control, Tokyo, Japan
| | - Manami Inoue
- Division of Cohort Research, National Cancer Center Institute for Cancer Control, Tokyo, Japan; Division of Prevention, National Cancer Center Institute for Cancer Control, Tokyo, Japan
| | - Shoichiro Tsugane
- Division of Cohort Research, National Cancer Center Institute for Cancer Control, Tokyo, Japan; International University of Health and Welfare Graduate School of Public Health, Tokyo, Japan
| | - Norie Sawada
- Division of Cohort Research, National Cancer Center Institute for Cancer Control, Tokyo, Japan.
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Hishida A, Nakatochi M, Sutoh Y, Nakano S, Momozawa Y, Narita A, Tanno K, Shimizu A, Hozawa A, Kinoshita K, Yamaji T, Goto A, Noda M, Sawada N, Ikezaki H, Nagayoshi M, Hara M, Suzuki S, Koyama T, Koriyama C, Katsuura-Kamano S, Kadota A, Kuriki K, Yamamoto M, Sasaki M, Iwasaki M, Matsuo K, Wakai K. GWAS meta-analysis of kidney function traits in Japanese populations. J Epidemiol 2024:JE20230281. [PMID: 38583947 DOI: 10.2188/jea.je20230281] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/09/2024] Open
Abstract
BACKGROUND Genetic epidemiological evidence for the kidney function traits in East Asian population including Japanese remain still relatively unclarified. Especially, the number of GWASs for kidney traits reported still remains limited, and the sample size of each independent study is relatively small. Given the genetic variability between ancestries/ethnicities, implementation of GWAS with sufficiently large sample sizes in specific population of Japanese is considered meaningful. METHODS We conducted the GWAS meta-analyses of kidney traits by leveraging the GWAS summary data of the representative large genome cohort studies with about 200,000 Japanese participants (n = 202,406 for estimated glomerular filtration rate [eGFR] and n = 200,845 for serum creatinine [SCr]). RESULTS In the present GWAS meta-analysis, we identified 110 loci with 169 variants significantly associated with eGFR (on chromosomes 1-13 and 15-22; p < 5×10-8), whereas we also identified 112 loci with 176 variants significantly associated with SCr (on chromosomes 1-22; p < 5×10-8), of which one locus (more than 1Mb distant from known loci) with one variant (CD36 rs146148222 on chromosome 7) for SCr was considered as the truly novel finding. CONCLUSIONS The present GWAS meta-analysis of largest genome cohort studies in Japanese provided some original genomic loci associated with kidney function in Japanese, which may contribute to the possible development of personalized prevention of kidney diseases based on genomic information in the near future.
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Affiliation(s)
- Asahi Hishida
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine
| | - Masahiro Nakatochi
- Public Health Informatics Unit, Department of Integrated Health Sciences, Nagoya University Graduate School of Medicine
| | - Yoichi Sutoh
- Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization
- Division of Biomedical Information Analysis, Iwate Medical University
| | - Shiori Nakano
- Division of Epidemiology, National Cancer Center Institute for Cancer Control
| | - Yukihide Momozawa
- Laboratory for Genotyping Development, Center for Integrative Medical Sciences, RIKEN
| | - Akira Narita
- Tohoku Medical Megabank Organization, Tohoku University
| | - Kozo Tanno
- Division of Clinical Research and Epidemiology, Iwate Tohoku Medical Megabank Organization
- Department of Hygiene and Preventive Medicine, Iwate Medical University
| | - Atsushi Shimizu
- Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization
- Division of Biomedical Information Analysis, Iwate Medical University
| | | | | | - Taiki Yamaji
- Division of Epidemiology, National Cancer Center Institute for Cancer Control
| | - Atsushi Goto
- Department of Public Health, School of Medicine, Yokohama City University
| | - Mitsuhiko Noda
- Department of Diabetes, Metabolism and Endocrinology, Ichikawa Hospital, International University of Health and Welfare
- Department of Endocrinology and Diabetes, Saitama Medical University
| | - Norie Sawada
- Division of Cohort Research, National Cancer Center Institute for Cancer Control
| | - Hiroaki Ikezaki
- Department of Comprehensive General Internal Medicine, Graduate School of Medical Sciences, Kyushu University
- Department of General Internal Medicine, Kyushu University Hospital
| | - Mako Nagayoshi
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine
| | - Megumi Hara
- Department of Preventive Medicine, Faculty of Medicine, Saga University
| | - Sadao Suzuki
- Department of Public Health, Nagoya City University Graduate School of Medical Sciences
| | - Teruhide Koyama
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine
| | - Chihaya Koriyama
- Department of Epidemiology and Preventive Medicine, Kagoshima University Graduate School of Medical and Dental Sciences
| | | | - Aya Kadota
- Center for Epidemiologic Research in Asia, Shiga University of Medical Science
| | - Kiyonori Kuriki
- Laboratory of Public Health, Division of Nutritional Sciences, School of Food and Nutritional Sciences, University of Shizuoka
| | | | - Makoto Sasaki
- Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University
- Division of Ultrahigh Field MRI, Institute for Biomedical Sciences, Iwate Medical University
| | - Motoki Iwasaki
- Division of Epidemiology, National Cancer Center Institute for Cancer Control
- Division of Cohort Research, National Cancer Center Institute for Cancer Control
| | - Keitaro Matsuo
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute
- Department of Cancer Epidemiology, Nagoya University Graduate School of Medicine
| | - Kenji Wakai
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine
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Takase M, Nakaya N, Tanno K, Kogure M, Hatanaka R, Nakaya K, Chiba I, Kanno I, Nochioka K, Tsuchiya N, Nakamura T, Hirata T, Obara T, Ishikuro M, Kotozaki Y, Uruno A, Kobayashi T, Kodama EN, Hamanaka Y, Orui M, Ogishima S, Nagaie S, Ohmomo H, Fuse N, Sugawara J, Shimizu A, Izumi Y, Kuriyama S, Hozawa A. Relationship between traditional risk factors for hypertension and systolic blood pressure in the Tohoku Medical Megabank Community-based Cohort Study. Hypertens Res 2024:10.1038/s41440-024-01582-1. [PMID: 38424250 DOI: 10.1038/s41440-024-01582-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 12/20/2023] [Accepted: 12/24/2023] [Indexed: 03/02/2024]
Abstract
Risk factors for hypertension have been emphasized in the Japanese Society of Hypertension Guidelines for the Management of Hypertension. However, large-scale studies on the association of smoking, potassium excretion, and gamma-glutamyl transferase level with BP in the Japanese population are limited. We conducted a cross-sectional study to examine the association between hypertension risk factors and systolic blood pressure in the Tohoku Medical Megabank Community-based Cohort Study (23,446 men and 38,921 women aged ≥20 years). A model adjusted for age, body mass index, smoking status, drinking status, estimated daily salt intake, potassium excretion, (or urinary sodium-to-potassium ratio), gamma-glutamyl transferase, physical activity, education level, status of damage to homes during the Great East Japan Earthquake, and residential areas was used. The average age and systolic blood pressure were 62.5 (10.3) years for men and 59.6 (11.3) years for women, 128.9 (16.7) mmHg for men and 124.7 (17.5) mmHg for women, respectively. Body mass index estimated daily salt intake, urinary sodium-to-potassium ratio and gamma-glutamyl transferase levels were positively associated with systolic blood pressure. Compared with never-drinkers, current drinkers who consumed 23-45 g/day and ≥46.0 g/day had significantly increased systolic blood pressure. Conversely, current smokers (1-10 cigarettes/day and 11-20 cigarettes/day) were inversely associated with systolic blood pressure compared to never-smokers. Overall, systolic blood pressure was associated with gamma-glutamyl transferase and hypertension risk factors, including body mass index, alcohol consumption, estimated daily salt intake, urinary sodium-to-potassium ratio, and potassium excretion. Our findings support the notion that lifestyle modifications should be attempted to prevent hypertension.
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Affiliation(s)
- Masato Takase
- Graduate School of Medicine, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
| | - Naoki Nakaya
- Graduate School of Medicine, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
| | - Kozo Tanno
- Iwate Medical Megabank Organization, Iwate Medical University, Kamaishi, Iwate, Japan
- School of Medicine, Iwate Medical University, Morioka, Iwate, Japan
| | - Mana Kogure
- Graduate School of Medicine, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
| | - Rieko Hatanaka
- Graduate School of Medicine, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
| | - Kumi Nakaya
- Graduate School of Medicine, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
| | - Ippei Chiba
- Graduate School of Medicine, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
| | - Ikumi Kanno
- Graduate School of Medicine, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
| | - Kotaro Nochioka
- Graduate School of Medicine, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
- Tohoku University Hospital, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
| | - Naho Tsuchiya
- Graduate School of Medicine, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
| | - Tomohiro Nakamura
- Tohoku Medical Megabank Organization, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
- Kyoto Women's University, Kyoto, Japan
| | - Takumi Hirata
- Tohoku Medical Megabank Organization, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
- Institute for Clinical and Translational Science, Nara Medical University, Shijo-cho, Kashihara, Nara, Japan
| | - Taku Obara
- Graduate School of Medicine, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
| | - Mami Ishikuro
- Graduate School of Medicine, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
| | - Yuka Kotozaki
- Iwate Medical Megabank Organization, Iwate Medical University, Kamaishi, Iwate, Japan
| | - Akira Uruno
- Tohoku Medical Megabank Organization, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
| | - Tomoko Kobayashi
- Graduate School of Medicine, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
- Tohoku University Hospital, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
| | - Eiichi N Kodama
- Tohoku Medical Megabank Organization, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
- International Research Institute of Disaster Science, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
| | - Yohei Hamanaka
- Tohoku Medical Megabank Organization, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
| | - Masatsugu Orui
- Graduate School of Medicine, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
| | - Soichi Ogishima
- Graduate School of Medicine, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
| | - Satoshi Nagaie
- Graduate School of Medicine, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
| | - Hideki Ohmomo
- Iwate Medical Megabank Organization, Iwate Medical University, Kamaishi, Iwate, Japan
- School of Medicine, Iwate Medical University, Morioka, Iwate, Japan
| | - Nobuo Fuse
- Graduate School of Medicine, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
| | - Junichi Sugawara
- Graduate School of Medicine, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
- Tohoku University Hospital, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
- Suzuki Memorial Hospital, Satonomori, Iwanumashi, Miyagi, Japan
| | - Atsushi Shimizu
- Iwate Medical Megabank Organization, Iwate Medical University, Kamaishi, Iwate, Japan
- School of Medicine, Iwate Medical University, Morioka, Iwate, Japan
| | - Yoko Izumi
- Graduate School of Medicine, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
| | - Shinichi Kuriyama
- Graduate School of Medicine, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
- International Research Institute of Disaster Science, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan
| | - Atsushi Hozawa
- Graduate School of Medicine, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan.
- Tohoku Medical Megabank Organization, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan.
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Yamanishi R, Yotsukura E, Hanyuda A, Uchino M, Yuki K, Negishi K, Yasuda N, Saito I, Kato T, Arima K, Aoyagi K, Tanno K, Yamagishi K, Muraki I, Yamaji T, Iwasaki M, Inoue M, Tsugane S, Sawada N. Relation between a history of glaucoma and subjective happiness: the JPHC-Next study. BMJ Open Ophthalmol 2024; 9:e001553. [PMID: 38373803 PMCID: PMC10882359 DOI: 10.1136/bmjophth-2023-001553] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2023] [Accepted: 01/31/2024] [Indexed: 02/21/2024] Open
Abstract
OBJECTIVE This population-based, cross-sectional study was performed to investigate the relationship between a history of glaucoma and subjective happiness. METHODS AND ANALYSIS We conducted a cross-sectional questionnaire-based survey of 92 397 Japanese men and women aged 40-74 who participated in the Japan Public Health Center-based Prospective Study for the Next Generation study. A multivariable logistic regression model was used to estimate the ORs of glaucoma associated with subjective happiness and their two-sided 95% CIs. RESULTS Among 40 727 men and 51 670 women, 1733 participants (635 men, 1098 women) had a history of glaucoma. The odds of unhappiness in male participants with a history of glaucoma were higher (OR 1.26; 95% CI 1.05 to 1.51) than in female participants (OR 1.05; 95% CI 0.90 to 1.23). In a subgroup analysis stratified by age, among participants with a history of glaucoma, males in the younger group (40-59 years) showed the most robust association with unhappiness (OR 1.40; 95% CI 1.04 to 1.88). CONCLUSIONS These findings suggest that a history of glaucoma is related with subjective unhappiness, especially in men.
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Affiliation(s)
- Ryutaro Yamanishi
- Department of Ophthalmology, Keio University School of Medicine, Tokyo, Japan
| | - Erisa Yotsukura
- Department of Ophthalmology, Keio University School of Medicine, Tokyo, Japan
| | - Akiko Hanyuda
- Department of Ophthalmology, Keio University School of Medicine, Tokyo, Japan
- Division of Cohort Research, National Cancer Center Institute for Cancer Control, Tokyo, Japan
| | - Miki Uchino
- Department of Ophthalmology, Keio University School of Medicine, Tokyo, Japan
| | - Kenya Yuki
- Department of Ophthalmology, Keio University School of Medicine, Tokyo, Japan
| | - Kazuno Negishi
- Department of Ophthalmology, Keio University School of Medicine, Tokyo, Japan
| | - Nobufumi Yasuda
- Department of Public Health, Kochi University Medical School, Kochi, Japan
| | - Isao Saito
- Department of Public Health and Epidemiology, Faculty of Medicine, Oita University, Oita, Japan
| | - Tadahiro Kato
- Center for Education and Educational Research, Faculty of Education, Ehime University, Matsuyama, Japan
| | - Kazuhiko Arima
- Department of Public Health, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan
| | - Kiyoshi Aoyagi
- Department of Public Health, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan
| | - Kozo Tanno
- Department of Hygiene and Preventive Medicine, School of Medicine, Iwate Medical University, Morioka, Japan
| | - Kazumasa Yamagishi
- Department of Public Health Medicine, Insitute of Medicine, and Health Services Research and Development Center, University of Tsukuba, Tsukuba, Japan
- Ibaraki Western Medical Center, Chikusei, Japan
| | - Isao Muraki
- Department of Social Medicine, Osaka University Graduate School of Medicine, Suita, Japan
| | - Taiki Yamaji
- Division of Cohort Research, National Cancer Center Institute for Cancer Control, Tokyo, Japan
| | - Motoki Iwasaki
- Division of Cohort Research, National Cancer Center Institute for Cancer Control, Tokyo, Japan
- Division of Epidemiology, National Cancer Center Institute for Cancer Control, Tokyo, Japan
| | - Manami Inoue
- Division of Cohort Research, National Cancer Center Institute for Cancer Control, Tokyo, Japan
| | - Shoichiro Tsugane
- Division of Cohort Research, National Cancer Center Institute for Cancer Control, Tokyo, Japan
- National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo, Japan
| | - Norie Sawada
- Division of Cohort Research, National Cancer Center Institute for Cancer Control, Tokyo, Japan
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Shiraishi K, Takahashi A, Momozawa Y, Daigo Y, Kaneko S, Kawaguchi T, Kunitoh H, Matsumoto S, Horinouchi H, Goto A, Honda T, Shimizu K, Torasawa M, Takayanagi D, Saito M, Saito A, Ohe Y, Watanabe S, Goto K, Tsuboi M, Tsuchihara K, Takata S, Aoi T, Takano A, Kobayashi M, Miyagi Y, Tanaka K, Suzuki H, Maeda D, Yamaura T, Matsuda M, Shimada Y, Mizuno T, Sakamoto H, Yoshida T, Goto Y, Yoshida T, Yamaji T, Sonobe M, Toyooka S, Yoneda K, Masago K, Tanaka F, Hara M, Fuse N, Nishizuka SS, Motoi N, Sawada N, Nishida Y, Kumada K, Takeuchi K, Tanno K, Yatabe Y, Sunami K, Hishida T, Miyazaki Y, Ito H, Amemiya M, Totsuka H, Nakayama H, Yokose T, Ishigaki K, Nagashima T, Ohtaki Y, Imai K, Takasawa K, Minamiya Y, Kobayashi K, Okubo K, Wakai K, Shimizu A, Yamamoto M, Iwasaki M, Matsuda K, Inazawa J, Shiraishi Y, Nishikawa H, Murakami Y, Kubo M, Matsuda F, Kamatani Y, Hamamoto R, Matsuo K, Kohno T. Identification of telomere maintenance gene variations related to lung adenocarcinoma risk by genome-wide association and whole genome sequencing analyses. Cancer Commun (Lond) 2024; 44:287-293. [PMID: 37882647 PMCID: PMC10876189 DOI: 10.1002/cac2.12498] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Revised: 10/06/2023] [Accepted: 10/15/2023] [Indexed: 10/27/2023] Open
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9
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Koyanagi YN, Nakatochi M, Namba S, Oze I, Charvat H, Narita A, Kawaguchi T, Ikezaki H, Hishida A, Hara M, Takezaki T, Koyama T, Nakamura Y, Suzuki S, Katsuura-Kamano S, Kuriki K, Nakamura Y, Takeuchi K, Hozawa A, Kinoshita K, Sutoh Y, Tanno K, Shimizu A, Ito H, Kasugai Y, Kawakatsu Y, Taniyama Y, Tajika M, Shimizu Y, Suzuki E, Hosono Y, Imoto I, Tabara Y, Takahashi M, Setoh K, Matsuda K, Nakano S, Goto A, Katagiri R, Yamaji T, Sawada N, Tsugane S, Wakai K, Yamamoto M, Sasaki M, Matsuda F, Okada Y, Iwasaki M, Brennan P, Matsuo K. Genetic architecture of alcohol consumption identified by a genotype-stratified GWAS and impact on esophageal cancer risk in Japanese people. Sci Adv 2024; 10:eade2780. [PMID: 38277453 PMCID: PMC10816704 DOI: 10.1126/sciadv.ade2780] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Accepted: 12/26/2023] [Indexed: 01/28/2024]
Abstract
An East Asian-specific variant on aldehyde dehydrogenase 2 (ALDH2 rs671, G>A) is the major genetic determinant of alcohol consumption. We performed an rs671 genotype-stratified genome-wide association study meta-analysis of alcohol consumption in 175,672 Japanese individuals to explore gene-gene interactions with rs671 behind drinking behavior. The analysis identified three genome-wide significant loci (GCKR, KLB, and ADH1B) in wild-type homozygotes and six (GCKR, ADH1B, ALDH1B1, ALDH1A1, ALDH2, and GOT2) in heterozygotes, with five showing genome-wide significant interaction with rs671. Genetic correlation analyses revealed ancestry-specific genetic architecture in heterozygotes. Of the discovered loci, four (GCKR, ADH1B, ALDH1A1, and ALDH2) were suggested to interact with rs671 in the risk of esophageal cancer, a representative alcohol-related disease. Our results identify the genotype-specific genetic architecture of alcohol consumption and reveal its potential impact on alcohol-related disease risk.
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Affiliation(s)
- Yuriko N. Koyanagi
- Division of Cancer Epidemiology and Prevention, Department of Preventive Medicine, Aichi Cancer Center Research Institute, Nagoya, Japan
| | - Masahiro Nakatochi
- Public Health Informatics Unit, Department of Integrated Health Sciences, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Shinichi Namba
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
| | - Isao Oze
- Division of Cancer Epidemiology and Prevention, Department of Preventive Medicine, Aichi Cancer Center Research Institute, Nagoya, Japan
| | - Hadrien Charvat
- Faculty of International Liberal Arts, Juntendo University, Tokyo, Japan
- Division of International Health Policy Research, Institute for Cancer Control, National Cancer Center, Tokyo, Japan
- Cancer Surveillance Branch, International Agency for Research on Cancer, Lyon, France
| | - Akira Narita
- Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Takahisa Kawaguchi
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Hiroaki Ikezaki
- Department of General Internal Medicine, Kyushu University Hospital, Fukuoka, Japan
- Department of Comprehensive General Internal Medicine, Faculty of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Asahi Hishida
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Megumi Hara
- Department of Preventive Medicine, Faculty of Medicine, Saga University, Saga, Japan
| | - Toshiro Takezaki
- Department of International Island and Community Medicine, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
| | - Teruhide Koyama
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Yohko Nakamura
- Cancer Prevention Center, Chiba Cancer Center Research Institute, Chiba, Japan
| | - Sadao Suzuki
- Department of Public Health, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Sakurako Katsuura-Kamano
- Department of Preventive Medicine, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan
| | - Kiyonori Kuriki
- Laboratory of Public Health, Division of Nutritional Sciences, School of Food and Nutritional Sciences, University of Shizuoka, Shizuoka, Japan
| | - Yasuyuki Nakamura
- Department of Public Health, Shiga University of Medical Science, Otsu, Japan
| | - Kenji Takeuchi
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
- Department of International and Community Oral Health, Tohoku University Graduate School of Dentistry, Sendai, Japan
- Division for Regional Community Development, Liaison Center for Innovative Dentistry, Tohoku University Graduate School of Dentistry, Sendai, Japan
| | - Atsushi Hozawa
- Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Kengo Kinoshita
- Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Yoichi Sutoh
- Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Iwate, Japan
| | - Kozo Tanno
- Department of Hygiene and Preventive Medicine, School of Medicine, Iwate Medical University, Iwate, Japan
- Division of Clinical Research and Epidemiology, Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Iwate, Japan
| | - Atsushi Shimizu
- Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Iwate, Japan
- Division of Biomedical Information Analysis, Institute for Biomedical Sciences, Iwate Medical University, Iwate, Japan
| | - Hidemi Ito
- Division of Cancer Information and Control, Department of Preventive Medicine, Aichi Cancer Center Research Institute, Nagoya, Japan
- Department of Descriptive Cancer Epidemiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Yumiko Kasugai
- Division of Cancer Epidemiology and Prevention, Department of Preventive Medicine, Aichi Cancer Center Research Institute, Nagoya, Japan
- Department of Cancer Epidemiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Yukino Kawakatsu
- Division of Cancer Epidemiology and Prevention, Department of Preventive Medicine, Aichi Cancer Center Research Institute, Nagoya, Japan
| | - Yukari Taniyama
- Division of Cancer Information and Control, Department of Preventive Medicine, Aichi Cancer Center Research Institute, Nagoya, Japan
| | - Masahiro Tajika
- Department of Endoscopy, Aichi Cancer Center Hospital, Nagoya, Japan
| | - Yasuhiro Shimizu
- Department of Gastroenterological Surgery, Aichi Cancer Center Hospital, Nagoya, Japan
| | - Etsuji Suzuki
- Department of Epidemiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama, Japan
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Yasuyuki Hosono
- Department of Pharmacology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama, Japan
| | - Issei Imoto
- Aichi Cancer Center Research Institute, Nagoya, Japan
| | - Yasuharu Tabara
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
- Graduate School of Public Health, Shizuoka Graduate University of Public Health, Shizuoka, Japan
| | - Meiko Takahashi
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Kazuya Setoh
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | | | - Koichi Matsuda
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan
| | - Shiori Nakano
- Division of Epidemiology, National Cancer Center Institute for Cancer Control, Tokyo, Japan
| | - Atsushi Goto
- Division of Epidemiology, National Cancer Center Institute for Cancer Control, Tokyo, Japan
- Department of Health Data Science, Graduate School of Data Science, Yokohama City University, Yokohama, Japan
| | - Ryoko Katagiri
- Division of Cohort Research, National Cancer Center Institute for Cancer Control, Tokyo, Japan
- National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo, Japan
| | - Taiki Yamaji
- Division of Epidemiology, National Cancer Center Institute for Cancer Control, Tokyo, Japan
| | - Norie Sawada
- Division of Cohort Research, National Cancer Center Institute for Cancer Control, Tokyo, Japan
| | - Shoichiro Tsugane
- Division of Cohort Research, National Cancer Center Institute for Cancer Control, Tokyo, Japan
- National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo, Japan
| | - Kenji Wakai
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Masayuki Yamamoto
- Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Makoto Sasaki
- Division of Ultrahigh Field MRI, Institute for Biomedical Sciences, Iwate Medical University, Iwate, Japan
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Iwate, Japan
| | - Fumihiko Matsuda
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Yukinori Okada
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
- Department of Genome Informatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
- Laboratory for Systems Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Laboratory of Statistical Immunology, Immunology Frontier Research Center (WPI-IFReC), Osaka University, Suita, Japan
- Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Suita, Japan
- Center for Infectious Disease Education and Research (CiDER), Osaka University, Suita, Japan
| | - Motoki Iwasaki
- Division of Epidemiology, National Cancer Center Institute for Cancer Control, Tokyo, Japan
- Division of Cohort Research, National Cancer Center Institute for Cancer Control, Tokyo, Japan
| | - Paul Brennan
- Genomic Epidemiology Branch, International Agency for Research on Cancer, Lyon, France
| | - Keitaro Matsuo
- Division of Cancer Epidemiology and Prevention, Department of Preventive Medicine, Aichi Cancer Center Research Institute, Nagoya, Japan
- Department of Cancer Epidemiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
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Numazaki H, Nasu T, Satoh M, Kotozaki Y, Tanno K, Asahi K, Ohmomo H, Shimizu A, Omama S, Morino Y, Sobue K, Sasaki M. Association between vascular endothelial dysfunction and stroke incidence in the general Japanese population: Results from the tohoku medical megabank community-based cohort study. Int J Cardiol Cardiovasc Risk Prev 2023; 19:200216. [PMID: 37780457 PMCID: PMC10539892 DOI: 10.1016/j.ijcrp.2023.200216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/13/2023] [Revised: 09/12/2023] [Accepted: 09/20/2023] [Indexed: 10/03/2023]
Abstract
Background Flow-mediated dilation (FMD) measures vascular endothelial function by evaluating the vasodilatory response of blood vessels to increased blood flow. Nevertheless, the association between FMD and stroke incidence in a general population remains unclear. This study investigated the association between vascular endothelial function and stroke incidence in the general Japanese population. Methods Based on cohort data from the Tohoku Medical Megabank Community-based Cohort Study, participants aged ≥18 years were recruited from Iwate Prefecture, with the final sample comprising 2952 subjects. Results The FMD level was 0.5%-27.1%, with a median of 5.0% (interquartile, 4.2%-11.3%). The mean follow-up period was 5.5 ± 1.8 years (range, 0.6-6.9 years). After dividing the participants into two subgroups according to the median FMD value, a multivariate Cox regression analysis adjusting for gender, age, smoking, alcohol consumption, systolic blood pressure, low-density lipoprotein cholesterol, estimated glomerular filtration rate, N-terminal pro-brain natriuretic peptide, high-sensitivity cardiac troponin T and hemoglobin A1c revealed that a lower FMD value was strongly associated with incidences of total stroke (hazard ratio[HR] = 2.13, 95% confidence interval[CI] = 1.48-3.07, p < 0.001), ischemic stroke (HR = 3.33, 95%CI = 2.00-5.52, p < 0.001), nonlacunar stroke (HR = 2.77, 95%CI = 1.49-5.16, p = 0.001), and lacunar stroke (HR = 5.12, 95%CI = 1.74-16.05, p = 0.003). Conclusions This study showed that a low FMD value might reflect vascular endothelial dysfunction and then was associated with ischemic stroke incidence in the general Japanese population, suggesting that FMD can be used as a tool to identify future stroke risk.
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Affiliation(s)
- Harutomo Numazaki
- Division of Cardiology, Department of Internal Medicine, Iwate Medical University, Japan
| | - Takahito Nasu
- Division of Cardiology, Department of Internal Medicine, Iwate Medical University, Japan
- Department of Biomedical Information Analysis, Institute for Biomedical Sciences, Iwate Medical University, Japan
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Japan
| | - Mamoru Satoh
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Japan
| | - Yuka Kotozaki
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Japan
- Department of Hygiene and Preventive Medicine, Iwate Medical University, Japan
| | - Kozo Tanno
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Japan
- Department of Hygiene and Preventive Medicine, Iwate Medical University, Japan
| | - Koichi Asahi
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Japan
- Division of Nephrology and Hypertension, Department of Internal Medicine, Iwate Medical University, Japan
| | - Hideki Ohmomo
- Department of Biomedical Information Analysis, Institute for Biomedical Sciences, Iwate Medical University, Japan
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Japan
| | - Atsushi Shimizu
- Department of Biomedical Information Analysis, Institute for Biomedical Sciences, Iwate Medical University, Japan
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Japan
| | - Shinichi Omama
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Japan
- Division of General Medicine, Department of Critical Care, Disaster, And General Medicine, Iwate Medical University, Japan
| | - Yoshihiro Morino
- Department of Biomedical Information Analysis, Institute for Biomedical Sciences, Iwate Medical University, Japan
| | - Kenji Sobue
- Department of Neuroscience, Institute for Biomedical Sciences, Iwate Medical University, Japan
| | - Makoto Sasaki
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Japan
- Division of Ultrahigh Field MRI, Institute for Biomedical Sciences, Iwate Medical University, Japan
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11
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Yoshii K, Morisaki N, Piedvache A, Nakada S, Arima K, Aoyagi K, Nakashima H, Yasuda N, Muraki I, Yamagishi K, Saito I, Kato T, Tanno K, Yamaji T, Iwasaki M, Inoue M, Tsugane S, Sawada N. Association between birth weight and prevalence of cardiovascular disease and other lifestyle-related diseases among Japanese population: JPHC-NEXT Study. J Epidemiol 2023:JE20230045. [PMID: 37981322 DOI: 10.2188/jea.je20230045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2023] Open
Abstract
BACKGROUND An association between birth weight and cardiovascular disease (CVD) in adulthood has been observed in many countries; however, only a few studies have been conducted in Asian populations. METHODS We used data from the baseline survey (2011-2016) of the Japan Public Health Center-based Prospective Study for the Next Generation Cohort, which included 114,105 participants aged 40-74 years. Adjusted prevalence ratios (aPRs) and 95% confidence intervals (CIs) were calculated from the prevalence of present and past histories of CVD and other lifestyle-related diseases, including hypertension, diabetes, hyperlipidemia, and gout, by birth weight, using Poisson regression. RESULTS The prevalence of CVD increased with lower birth weight, with the highest prevalence among those with birth weight under 1,500 grams (males 4.6%; females 1.7%) and the lowest one among those with birth weight at or over 4,000g (males 3.7%: females 0.8%). Among 88.653 participants (41,156 males and 47,497 females) with complete data on possible confounders, birth weight under 1,500g was associated with a higher prevalence of CVD (aPR 1.76 [95%CI 1.37-2.26]), hypertension (aPR 1.29 [95%CI 1.17-1.42]), and diabetes (aPR 1.53 [95%CI 1.26-1.86]) when a birth weight of 3,000-3,999 grams was used as the reference. Weaker associations were observed for birth weight of 1500-2499 grams and 2500-2999 grams, while no significant associations were observed for birth weight at or over 4000 g. The association between birth weight and the prevalence of hyperlipidemia was less profound, and no significant association was observed between birth weight and gout. CONCLUSION Lower birth weight was associated with a higher prevalence of CVD, hypertension, and diabetes in the Japanese population.
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Affiliation(s)
- Keisuke Yoshii
- Division of Endocrinology and Metabolism, National Center for Child Health and Development
| | - Naho Morisaki
- Department of Social Medicine, National Center for Child Health and Development
| | - Aurélie Piedvache
- Department of Social Medicine, National Center for Child Health and Development
| | - Shinya Nakada
- Department of Social Medicine, National Center for Child Health and Development
| | - Kazuhiko Arima
- Department of Public Health, Nagasaki University Graduate School of Biomedical Sciences
| | - Kiyoshi Aoyagi
- Department of Public Health, Nagasaki University Graduate School of Biomedical Sciences
| | - Hiroki Nakashima
- Department of Public Health, Nagasaki University Graduate School of Biomedical Sciences
| | - Nobufumi Yasuda
- Department of Public Health, Kochi University Medical School
| | - Isao Muraki
- Public Health, Department of Social Medicine, Graduate School of Medicine, Osaka University
| | - Kazumasa Yamagishi
- Department of Public Health Medicine, Faculty of Medicine, and Health Services Research and Development Center, University of Tsukuba
- Ibaraki Western Medical Center
| | - Isao Saito
- Department of Public Health and Epidemiology, Faculty of Medicine, Oita University
| | - Tadahiro Kato
- Division of Life Span Development and Clinical Psychology, Graduate School of Education, Ehime University
| | - Kozo Tanno
- Department of Hygiene and Preventive Medicine, School of Medicine, Iwate Medical University
| | - Taiki Yamaji
- Division of Epidemiology, National Cancer Center Institute for Cancer Control
| | - Motoki Iwasaki
- Division of Epidemiology, National Cancer Center Institute for Cancer Control
- Division of Cohort Research, National Cancer Center Institute for Cancer Control
| | - Manami Inoue
- Division of Cohort Research, National Cancer Center Institute for Cancer Control
- Division of Prevention, National Cancer Center Institute for Cancer Control
| | - Shoichiro Tsugane
- Division of Cohort Research, National Cancer Center Institute for Cancer Control
- National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition
| | - Norie Sawada
- Division of Cohort Research, National Cancer Center Institute for Cancer Control
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12
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Tsubota-Utsugi M, Tanno K, Takahashi N, Onoda T, Yonekura Y, Ohsawa M, Takahashi S, Kuribayashi T, Itabashi R, Tanaka F, Asahi K, Omama S, Ogasawara K, Ishigaki Y, Takahashi F, Soma A, Takanashi N, Sakata K, Ohkubo T, Okayama A. Rapid weight change as a predictor of disability among community-dwelling Japanese older adults. Geriatr Gerontol Int 2023; 23:809-816. [PMID: 37770036 DOI: 10.1111/ggi.14687] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Revised: 08/21/2023] [Accepted: 09/11/2023] [Indexed: 10/03/2023]
Abstract
AIM To fill the knowledge gap regarding weight change and the onset of disability in community-dwelling Japanese older adults, we investigated the potential effects of rapid weight change on disability risk as defined by Japan's long-term care insurance (LTCI) system. METHODS We analyzed data from a longitudinal study of 10 375 community-dwelling older Japanese adults (≥65 years) who were not LTCI needs certified at baseline and joined the study from 2002 to 2005. Weight change (percentage) was calculated by subtracting participants' weight in the previous year from that measured during a physical examination at study commencement. The five weight-change categories ranged from sizable weight loss (≤ -8.0%) to sizable weight gain (≥ +8.0%). Disability was defined according to LTCI certifications at follow-up. Hazard ratios (HRs) and 95% confidence intervals were calculated for new-onset disability using a Cox proportional hazards model that fitted the proportional subdistribution hazards regression model with weights for competing risks of death. RESULTS During the mean 10.5-year follow-up, 2994 participants developed a disability. Sizable weight loss (HR [95% confidence intervals], 1.41 [1.17-1.71]) and weight loss (1.20 [1.05-1.36]) were significant predictors of disability onset. Sizable weight gain (1.45 [1.07-1.97]) corresponded to severe disability. Stratified analyses by lifestyle and initial body mass index categories revealed more pronounced associations between weight change and disability risk in the unhealthy lifestyle and below initial normal body mass index groups. CONCLUSIONS Rapid and sizable weight gain could be additional criteria for disability risk in older adults. Geriatr Gerontol Int 2023; 23: 809-816.
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Grants
- JP17K09126 a grant-in-aid for Scientific Research (C) from the Japan Society for the Promotion of Science
- JP21K10477 a grant-in-aid for Scientific Research (C) from the Japan Society for the Promotion of Science
- 20FA1002 a grant-in-aid from the Ministry of Health, Labor and Welfare, Health and Labor Sciences Research Grants, Japan
- H23-Junkankitou [Seishuu]-Ippan-005 a grant-in-aid from the Ministry of Health, Labor and Welfare, Health and Labor Sciences Research Grants, Japan
- H26-Junkankitou [Seisaku]-Ippan-001 a grant-in-aid from the Ministry of Health, Labor and Welfare, Health and Labor Sciences Research Grants, Japan
- H29-Junkankitou-Ippan-003 a grant-in-aid from the Ministry of Health, Labor and Welfare, Health and Labor Sciences Research Grants, Japan
- Eli Lilly Japan K.K.
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Affiliation(s)
- Megumi Tsubota-Utsugi
- Department of Hygiene and Public Health, Teikyo University School of Medicine, Tokyo, Japan
- Department of Hygiene and Preventive Medicine, Iwate Medical University, Morioka, Japan
| | - Kozo Tanno
- Department of Hygiene and Preventive Medicine, Iwate Medical University, Morioka, Japan
| | - Naomi Takahashi
- Department of Hygiene and Preventive Medicine, Iwate Medical University, Morioka, Japan
| | | | - Yuki Yonekura
- Graduate School of Nursing Science, St. Luke's International University, Tokyo, Japan
| | - Masaki Ohsawa
- Division of Cardiology, Department of Internal Medicine, Iwate Medical University, Morioka, Japan
| | - Shuko Takahashi
- Division of Medical Education, Iwate Medical University, Morioka, Japan
| | - Toru Kuribayashi
- Faculty of Humanities and Social Sciences, Iwate University, Morioka, Japan
| | - Ryo Itabashi
- Stroke Center, Division of Neurology and Gerontology, Department of Internal Medicine, School of Medicine, Iwate Medical University, Morioka, Japan
| | - Fumitaka Tanaka
- Division of Nephrology and Hypertension, Department of Internal Medicine, Iwate Medical University, Morioka, Japan
| | - Koichi Asahi
- Department of General Medicine, School of Medicine, Iwate Medical University, Morioka, Japan
| | - Shinichi Omama
- Department of Neurosurgery, School of Medicine, Iwate Medical University, Morioka, Japan
| | - Kuniaki Ogasawara
- Division of Diabetes, Metabolism and Endocrinology, Department of Internal Medicine, Iwate Medical University, Morioka, Japan
| | - Yasushi Ishigaki
- Department of Neurosurgery, School of Medicine, Iwate Medical University, Morioka, Japan
| | - Fumiaki Takahashi
- Department of Information Science, Iwate Medical University, Morioka, Japan
| | - Akemi Soma
- Iwate Health Service Association, Morioka, Japan
| | - Nobuyuki Takanashi
- Department of Hygiene and Preventive Medicine, Iwate Medical University, Morioka, Japan
| | - Kiyomi Sakata
- Department of Hygiene and Preventive Medicine, Iwate Medical University, Morioka, Japan
| | - Takayoshi Ohkubo
- Department of Hygiene and Public Health, Teikyo University School of Medicine, Tokyo, Japan
| | - Akira Okayama
- Research Institute of Strategy for Prevention, Tokyo, Japan
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13
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Kotozaki Y, Tanno K, Otsuka K, Sasaki R, Sasaki M. Longitudinal changes in depressive symptoms associated with social isolation after the Great East Japan Earthquake in Iwate Prefecture: findings from the TMM CommCohort study. BMC Public Health 2023; 23:1154. [PMID: 37337230 DOI: 10.1186/s12889-023-16082-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Accepted: 06/08/2023] [Indexed: 06/21/2023] Open
Abstract
BACKGROUND Whether past disaster experiences affect the association between changes in social isolation and depressive symptoms is largely unknown. This study examined the association between changes in social isolation and depressive symptoms among survivors who experienced earthquake damage in the aftermath of the Great East Japan Earthquake (GEJE). METHODS We analyzed longitudinal data from 10,314 participants who responded to self-report questionnaires on the Lubben Social Network Scale-6 (LSNS-6) and the Center for Epidemiological Studies-Depressive Scale (CES-D) in both the baseline survey (FY2013 to FY2015) and follow-up survey (FY2017 to FY2019) after the GEJE. According to changes in the presence of social isolation (< 12 of LSNS-6) at two time points, participants were categorized into four groups: "not socially isolated," "improved socially isolated," "newly socially isolated," and "continuously socially isolated." At the follow-up survey, a CES-D score of ≥ 16 indicates the presence of depressive symptoms. The adjusted odds ratios (AORs) and 95% confidence intervals (CIs) were estimated using the logistic regression analysis to examine the influence of the change in social isolation over four years on depressive symptoms. RESULTS Participants who were newly socially isolated had a significantly higher prevalence of depressive symptoms than those who were not socially isolated (AOR = 1.89, 95% CI = 1.61 - 2.23). In addition, AORs were highest for those who were continuously socially isolated and had experienced house damage (AOR = 2.17, 95% CI = 1.73 - 2.72) and those who were newly socially isolated and had not experienced the death of family members due to the GEJE (AOR = 1.88, 95%CI = 1.60 - 2.22). CONCLUSION Our longitudinal findings suggest that being newly or continuously socially isolated is associated with a risk of depressive symptoms, not only among those who had experienced house damage or the death of a family member, but also those who had not, in the disaster-affected area. Our study underlines the clinical importance of social isolation after a large-scale natural disaster and draws attention to the need for appropriate prevention measures.
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Affiliation(s)
- Yuka Kotozaki
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Iwate, Japan.
| | - Kozo Tanno
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Iwate, Japan
- Department of Hygiene and Preventive Medicine, School of Medicine, Iwate Medical University, Iwate, Japan
| | - Kotaro Otsuka
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Iwate, Japan
- Department of Neuropsychiatry, School of Medicine, Iwate Medical University, Iwate, Japan
| | - Ryohei Sasaki
- Division of Physical Education, Department of Human Sciences, Iwate Medical University Center for Liberal Arts and Sciences, Iwate, Japan
| | - Makoto Sasaki
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Iwate, Japan
- Division of Ultrahigh Field MRI, Institute for Biomedical Sciences, Iwate Medical University, Iwate, Japan
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14
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Okada C, Iso H, Yamagishi K, Ikeda A, Umesawa M, Muraki I, Yasuda N, Kato T, Saito I, Arima K, Nishimura T, Tanno K, Sakata K, Goto A, Yamaji T, Iwasaki M, Shimazu T, Inoue M, Sawada N, Tsugane S. Dietary behaviours and related lifestyles according to the presence or absence of skipping breakfast in Japanese adults: the JPHC-NEXT study. Public Health Nutr 2023; 26:1230-1237. [PMID: 36775271 PMCID: PMC10346075 DOI: 10.1017/s1368980023000010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2021] [Revised: 11/02/2022] [Accepted: 12/05/2022] [Indexed: 02/14/2023]
Abstract
OBJECTIVE To assess dietary behaviours and related lifestyles according to the presence or absence of skipping breakfast. DESIGN We analysed the cross-sectional data from a baseline survey of a large-scale population-based cohort study in Japan conducted in 2011-2016. Participants provided information on dietary behaviours and lifestyles through a self-administered questionnaire. Skipping breakfast was defined as not eating breakfast at least once a week and was classified according to the frequency of skipping breakfast as 1-2, 3-4 or ≥5 times/week. SETTING Sixteen municipalities in seven prefectural areas across Japan under the Japan Public Health Centre-based prospective study for the Next Generation. PARTICIPANTS 112 785 residents (51 952 males and 60 833 females) aged 40-74 years. RESULTS After adjustment for age, socio-demographic status, drinking status and smoking status, individuals who skipped breakfast at least once a week, compared with those who ate breakfast every day, were more likely to have adverse dietary behaviours such as frequent eating out (multivariable OR = 2·08, 95 % CI (1·96, 2·21) in males and 2·15, 95 % CI (1·99, 2·33) in females), frequent eating instant foods (1·89, 95 % CI (1·77, 2·01) in males and 1·72, 95 % CI (1·56, 1·89) in females). They had late bedtime (1·85, 95 % CI (1·75, 1·95) in males and 1·98, 95 % CI (1·86, 2·11) in females) and living alone (2·37, 95 % CI (2·17, 2·58) in males and 2·02, 95 % CI (1·83, 2·21) in females), using the logistic regression model. CONCLUSIONS Both adult males and females who skipped breakfast were likely to eat out, to have a dietary habit of eating instant foods and have lifestyles such as late bedtime and living alone than those who ate breakfast.
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Affiliation(s)
- Chika Okada
- Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita, Osaka565-0871, Japan
| | - Hiroyasu Iso
- Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita, Osaka565-0871, Japan
- Department of Public Health, Medicine, Faculty of Medicine, and Health Services Research and Development Center, University of Tsukuba, Ibaraki, Japan
| | - Kazumasa Yamagishi
- Department of Public Health, Medicine, Faculty of Medicine, and Health Services Research and Development Center, University of Tsukuba, Ibaraki, Japan
- Ibaraki Western Medical Center, Chikusei, Japan
| | - Ai Ikeda
- Department of Public Health, Juntendo University Graduate School of Medicine, Bunkyo, Tokyo, Japan
| | - Mitsumasa Umesawa
- Department of Public Health, Dokkyo Medical University, School of Medicine, Tochigi, Japan
| | - Isao Muraki
- Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita, Osaka565-0871, Japan
| | - Nobufumi Yasuda
- Department of Public Health, Kochi University Medical School, Kochi, Japan
| | - Tadahiro Kato
- Center for Education and Educational Research, Faculty of Education, Ehime University, Matsuyama, Japan
| | - Isao Saito
- Department of Public Health and Epidemiology, Faculty of Medicine, Oita University, Oita, Japan
| | - Kazuhiko Arima
- Department of Public Health, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan
| | - Takayuki Nishimura
- Department of Public Health, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan
| | - Kozo Tanno
- Department of Hygiene and Preventive Medicine, Iwate Medical University, Iwate, Japan
| | - Kiyomi Sakata
- Department of Hygiene and Preventive Medicine, Iwate Medical University, Iwate, Japan
| | - Atsushi Goto
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Taiki Yamaji
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Motoki Iwasaki
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Taichi Shimazu
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Manami Inoue
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Norie Sawada
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Shoichiro Tsugane
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
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15
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Mikami T, Tanno K, Sasaki R, Takanashi N, Kotozaki Y, Asahi K, Tanaka F, Omama S, Kogure M, Nakaya N, Nakamura T, Tsuchiya N, Narita A, Hozawa A, Hitomi J, Sakata K, Sasaki M. Association between the extent of house collapse and urine sodium-to-potassium ratio of victims affected by the 2011 Great East Japan Earthquake and Tsunami: a cross-sectional study. Hypertens Res 2023; 46:1247-1256. [PMID: 36806793 PMCID: PMC10164643 DOI: 10.1038/s41440-023-01190-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Revised: 12/12/2022] [Accepted: 01/05/2023] [Indexed: 02/19/2023]
Abstract
People who experience natural disasters have a high risk of developing cardiovascular diseases. We investigated the association between the extent of house collapse and urine sodium-to-potassium (UNa/K) ratio of 2011 Great East Japan Earthquake victims. We used the baseline survey data of the Tohoku Medical Megabank Project Community-Based Cohort Study of 29 542 individuals (aged 20-74 years) residing in the affected areas. The UNa/K ratio was calculated using spot urinary electrolyte values. Analysis of covariance was used to calculate the multivariate-adjusted geometric means of the UNa/K ratio in the following groups stratified according to the self-reported extent of house collapse: total collapse (TC), half collapse (HC), partial collapse (PC), and no damage (ND). Multivariable-adjusted odds ratios (ORs) for a high UNa/K ratio were calculated using logistic regression. The TC, HC, PC, and ND groups comprised 5 359 (18.1%), 3 576 (12.1%), 7 331 (24.8%), and 13 276 (44.9%) participants, respectively. The TC (3.33; 95% confidence interval [CI], 3.28-3.38), HC (3.37; 3.30-3.43), and PC (3.32; 3.28-3.37) groups had significantly higher multivariate-adjusted geometric means of the UNa/K ratio than the ND (3.24; 3.21-3.27) group. The multivariable-adjusted ORs (95% CIs) for a high UNa/K ratio in the TC, HC, and PC groups vs. the ND group were 1.07 (0.99-1.15), 1.20 (1.11-1.31), and 1.20 (1.12-1.28), respectively. Similar associations between house collapse and UNa/K ratio were observed for both sexes. We report that victims of a natural disaster tend to have a diet with high sodium-to-potassium ratio.
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Affiliation(s)
- Takahiro Mikami
- Division of Clinical Research and Epidemiology, Iwate Tohoku Medical Megabank Organization, Iwate Medical University, 1-1-1 Idaidori, Yahaba-cho, Shiwa-gun, Iwate, 028-3694, Japan.
- Department of Anatomy, School of Medicine, Iwate Medical University, 1-1-1 Idaidori, Yahaba-cho, Shiwa-gun, Iwate, 028-3694, Japan.
| | - Kozo Tanno
- Division of Clinical Research and Epidemiology, Iwate Tohoku Medical Megabank Organization, Iwate Medical University, 1-1-1 Idaidori, Yahaba-cho, Shiwa-gun, Iwate, 028-3694, Japan
- Department of Hygiene and Preventive Medicine, School of Medicine, Iwate Medical University, 1-1-1 Idaidori, Yahaba-cho, Shiwa-gun, Iwate, 028-3694, Japan
| | - Ryohei Sasaki
- Department of Human Sciences, Center for Liberal Arts and Sciences, Iwate Medical University, 1-1-1 Idaidori, Yahaba-cho, Shiwa-gun, Iwate, 028-3694, Japan
| | - Nobuyuki Takanashi
- Division of Clinical Research and Epidemiology, Iwate Tohoku Medical Megabank Organization, Iwate Medical University, 1-1-1 Idaidori, Yahaba-cho, Shiwa-gun, Iwate, 028-3694, Japan
- Department of Hygiene and Preventive Medicine, School of Medicine, Iwate Medical University, 1-1-1 Idaidori, Yahaba-cho, Shiwa-gun, Iwate, 028-3694, Japan
| | - Yuka Kotozaki
- Division of Clinical Research and Epidemiology, Iwate Tohoku Medical Megabank Organization, Iwate Medical University, 1-1-1 Idaidori, Yahaba-cho, Shiwa-gun, Iwate, 028-3694, Japan
| | - Koichi Asahi
- Division of Clinical Research and Epidemiology, Iwate Tohoku Medical Megabank Organization, Iwate Medical University, 1-1-1 Idaidori, Yahaba-cho, Shiwa-gun, Iwate, 028-3694, Japan
- Department of Internal Medicine, School of Medicine, Iwate Medical University, 1-1-1 Idaidori, Yahaba-cho, Shiwa-gun, Iwate, 028-3694, Japan
| | - Fumitaka Tanaka
- Division of Clinical Research and Epidemiology, Iwate Tohoku Medical Megabank Organization, Iwate Medical University, 1-1-1 Idaidori, Yahaba-cho, Shiwa-gun, Iwate, 028-3694, Japan
- Department of Internal Medicine, School of Medicine, Iwate Medical University, 1-1-1 Idaidori, Yahaba-cho, Shiwa-gun, Iwate, 028-3694, Japan
| | - Shinichi Omama
- Division of Clinical Research and Epidemiology, Iwate Tohoku Medical Megabank Organization, Iwate Medical University, 1-1-1 Idaidori, Yahaba-cho, Shiwa-gun, Iwate, 028-3694, Japan
- Iwate Prefectural Advanced Critical Care and Emergency Center, Iwate Medical University, 1-1-1 Idaidori, Yahaba-cho, Shiwa-gun, Iwate, 028-3694, Japan
| | - Mana Kogure
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai-City, Miyagi, Japan
| | - Naoki Nakaya
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai-City, Miyagi, Japan
| | - Tomohiro Nakamura
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai-City, Miyagi, Japan
| | - Naho Tsuchiya
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai-City, Miyagi, Japan
| | - Akira Narita
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai-City, Miyagi, Japan
| | - Atsushi Hozawa
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai-City, Miyagi, Japan
| | - Jiro Hitomi
- Division of Clinical Research and Epidemiology, Iwate Tohoku Medical Megabank Organization, Iwate Medical University, 1-1-1 Idaidori, Yahaba-cho, Shiwa-gun, Iwate, 028-3694, Japan
- Department of Anatomy, School of Medicine, Iwate Medical University, 1-1-1 Idaidori, Yahaba-cho, Shiwa-gun, Iwate, 028-3694, Japan
| | - Kiyomi Sakata
- Division of Clinical Research and Epidemiology, Iwate Tohoku Medical Megabank Organization, Iwate Medical University, 1-1-1 Idaidori, Yahaba-cho, Shiwa-gun, Iwate, 028-3694, Japan
- Department of Hygiene and Preventive Medicine, School of Medicine, Iwate Medical University, 1-1-1 Idaidori, Yahaba-cho, Shiwa-gun, Iwate, 028-3694, Japan
| | - Makoto Sasaki
- Division of Clinical Research and Epidemiology, Iwate Tohoku Medical Megabank Organization, Iwate Medical University, 1-1-1 Idaidori, Yahaba-cho, Shiwa-gun, Iwate, 028-3694, Japan
- Institute for Biomedical Sciences, Iwate Medical University, 1-1-1 Idaidori, Yahaba-cho, Shiwa-gun, Iwate, 028-3694, Japan
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16
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Hanyuda A, Goto A, Katagiri R, Koyanagi YN, Nakatochi M, Sutoh Y, Nakano S, Oze I, Ito H, Yamaji T, Sawada N, Iwagami M, Kadota A, Koyama T, Katsuura-Kamano S, Ikezaki H, Tanaka K, Takezaki T, Imoto I, Suzuki M, Momozawa Y, Takeuchi K, Narita A, Hozawa A, Kinoshita K, Shimizu A, Tanno K, Matsuo K, Tsugane S, Wakai K, Sasaki M, Yamamoto M, Iwasaki M. Investigating the association between glycaemic traits and colorectal cancer in the Japanese population using Mendelian randomisation. Sci Rep 2023; 13:7052. [PMID: 37120602 PMCID: PMC10148817 DOI: 10.1038/s41598-023-33966-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2022] [Accepted: 04/21/2023] [Indexed: 05/01/2023] Open
Abstract
Observational studies suggest that abnormal glucose metabolism and insulin resistance contribute to colorectal cancer; however, the causal association remains unknown, particularly in Asian populations. A two-sample Mendelian randomisation analysis was performed to determine the causal association between genetic variants associated with elevated fasting glucose, haemoglobin A1c (HbA1c), and fasting C-peptide and colorectal cancer risk. In the single nucleotide polymorphism (SNP)-exposure analysis, we meta-analysed study-level genome-wide associations of fasting glucose (~ 17,289 individuals), HbA1c (~ 52,802 individuals), and fasting C-peptide (1,666 individuals) levels from the Japanese Consortium of Genetic Epidemiology studies. The odds ratios of colorectal cancer were 1.01 (95% confidence interval [CI], 0.99-1.04, P = 0.34) for fasting glucose (per 1 mg/dL increment), 1.02 (95% CI, 0.60-1.73, P = 0.95) for HbA1c (per 1% increment), and 1.47 (95% CI, 0.97-2.24, P = 0.06) for fasting C-peptide (per 1 log increment). Sensitivity analyses, including Mendelian randomisation-Egger and weighted-median approaches, revealed no significant association between glycaemic characteristics and colorectal cancer (P > 0.20). In this study, genetically predicted glycaemic characteristics were not significantly related to colorectal cancer risk. The potential association between insulin resistance and colorectal cancer should be validated in further studies.
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Grants
- 28-A-19 and 31-A-18 National Cancer Center Research and Development Fund
- 28-A-19 and 31-A-18 National Cancer Center Research and Development Fund
- 28-A-19 and 31-A-18 National Cancer Center Research and Development Fund
- 28-A-19 and 31-A-18 National Cancer Center Research and Development Fund
- 28-A-19 and 31-A-18 National Cancer Center Research and Development Fund
- 28-A-19 and 31-A-18 National Cancer Center Research and Development Fund
- No. 16H06277[CoBia] Japan Society for the Promotion of Science (JSPS) KAKENHI Grant
- No. 16H06277[CoBia] Japan Society for the Promotion of Science (JSPS) KAKENHI Grant
- No. 16H06277[CoBia] Japan Society for the Promotion of Science (JSPS) KAKENHI Grant
- JP20km0105001, JP20km0105002, JP20km0105003, JP20km0105004 Japan Agency for Medical Research and Development
- JP20km0105001, JP20km0105002, JP20km0105003, JP20km0105004 Japan Agency for Medical Research and Development
- JP20km0105001, JP20km0105002, JP20km0105003, JP20km0105004 Japan Agency for Medical Research and Development
- JP20km0105001, JP20km0105002, JP20km0105003, JP20km0105004 Japan Agency for Medical Research and Development
- JP20km0105001, JP20km0105002, JP20km0105003, JP20km0105004 Japan Agency for Medical Research and Development
- JP20km0105001, JP20km0105002, JP20km0105003, JP20km0105004 Japan Agency for Medical Research and Development
- JP20km0105001, JP20km0105002, JP20km0105003, JP20km0105004 Japan Agency for Medical Research and Development
- JP20km0105001, JP20km0105002, JP20km0105003, JP20km0105004 Japan Agency for Medical Research and Development
- 15ck0106095h0002, 16ck0106095h0003, and 17ck0106266h001 Japan Agency for Medical Research and Development
- a Grant-in-Aid for Cancer Research Ministry of Health, Labour and Welfare
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Affiliation(s)
- Akiko Hanyuda
- Division of Epidemiology, National Cancer Center Institute for Cancer Control, 5-1-1 Tsukiji, Chuo-Ku, Tokyo, 104-0045, Japan
- Department of Ophthalmology, Keio University School of Medicine, Tokyo, Japan
| | - Atsushi Goto
- Division of Epidemiology, National Cancer Center Institute for Cancer Control, 5-1-1 Tsukiji, Chuo-Ku, Tokyo, 104-0045, Japan.
- Department of Health Data Science, Graduate School of Data Science, Yokohama City University, 22-2 Seto, Kanazawa-Ku, Yokohama, 236-0027, Japan.
| | - Ryoko Katagiri
- Division of Epidemiology, National Cancer Center Institute for Cancer Control, 5-1-1 Tsukiji, Chuo-Ku, Tokyo, 104-0045, Japan
| | - Yuriko N Koyanagi
- Division of Cancer Information and Control, Aichi Cancer Center, Nagoya, Aichi, Japan
| | - Masahiro Nakatochi
- Public Health Informatics Unit, Department of Integrated Health Sciences, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | - Yoichi Sutoh
- Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank, Morioka, Iwate, Japan
| | - Shiori Nakano
- Division of Epidemiology, National Cancer Center Institute for Cancer Control, 5-1-1 Tsukiji, Chuo-Ku, Tokyo, 104-0045, Japan
| | - Isao Oze
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center, Nagoya, Aichi, Japan
| | - Hidemi Ito
- Division of Cancer Information and Control, Aichi Cancer Center, Nagoya, Aichi, Japan
- Division of Descriptive Cancer Epidemiology, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | - Taiki Yamaji
- Division of Epidemiology, National Cancer Center Institute for Cancer Control, 5-1-1 Tsukiji, Chuo-Ku, Tokyo, 104-0045, Japan
| | - Norie Sawada
- Division of Cohort Research, National Cancer Center Institute for Cancer Control, Tokyo, Japan
| | - Masao Iwagami
- Division of Epidemiology, National Cancer Center Institute for Cancer Control, 5-1-1 Tsukiji, Chuo-Ku, Tokyo, 104-0045, Japan
- Department of Health Services Research, Faculty of Medicine, University of Tsukuba, Tsukuba, Ibaraki, Japan
- Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK
| | - Aya Kadota
- NCD Epidemiology Research Center, Shiga University of Medical Science, Otsu, Shiga, Japan
| | - Teruhide Koyama
- Department of Epidemiology for Community Health and Medicine, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Sakurako Katsuura-Kamano
- Department of Preventive Medicine, Institute of Biomedical Sciences, Tokushima University Graduate School, Tokushima, Japan
| | - Hiroaki Ikezaki
- Department of Comprehensive General Internal Medicine, Faculty of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Keitaro Tanaka
- Department of Preventive Medicine, Faculty of Medicine, Saga University, Saga, Japan
| | - Toshiro Takezaki
- Department of International Island and Community Medicine, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
| | - Issei Imoto
- Aichi Cancer Center Research Institute, Nagoya, Aichi, Japan
| | - Midori Suzuki
- Core Facilities, Aichi Cancer Center Research Institute, Nagoya, Aichi, Japan
| | - Yukihide Momozawa
- Laboratory for Genotyping Development, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, Japan
| | - Kenji Takeuchi
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | - Akira Narita
- Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan
| | - Atsushi Hozawa
- Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan
| | - Kengo Kinoshita
- Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan
| | - Atsushi Shimizu
- Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank, Morioka, Iwate, Japan
| | - Kozo Tanno
- Division of Clinical Research and Epidemiology, Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Morioka, Iwate, Japan
| | - Keitaro Matsuo
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center, Nagoya, Aichi, Japan
- Division of Cancer Epidemiology, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | - Shoichiro Tsugane
- Division of Cohort Research, National Cancer Center Institute for Cancer Control, Tokyo, Japan
- National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo, Japan
| | - Kenji Wakai
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | - Makoto Sasaki
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Morioka, Iwate, Japan
| | - Masayuki Yamamoto
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan
| | - Motoki Iwasaki
- Division of Epidemiology, National Cancer Center Institute for Cancer Control, 5-1-1 Tsukiji, Chuo-Ku, Tokyo, 104-0045, Japan
- Division of Cohort Research, National Cancer Center Institute for Cancer Control, Tokyo, Japan
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17
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Kotozaki Y, Satoh M, Nasu T, Tanno K, Tanaka F, Sasaki M. Human Plasma Xanthine Oxidoreductase Activity in Cardiovascular Disease: Evidence from a Population-Based Study. Biomedicines 2023; 11:biomedicines11030754. [PMID: 36979733 PMCID: PMC10045414 DOI: 10.3390/biomedicines11030754] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Revised: 02/20/2023] [Accepted: 02/27/2023] [Indexed: 03/06/2023] Open
Abstract
Xanthine oxidoreductase (XOR) and its products contribute to the development of chronic inflammation and oxidative stress. Excessive XOR activity is believed to promote inflammatory responses and atherosclerotic plaque formation, which are major cardiovascular risk factors. The mechanisms of XOR activity in the development and progression of cardiovascular disease (CVD), coupled with the complexity of the relationship between XOR activity and the biological effects of uric acid; reactive oxygen species; and nitric oxide, which are the major products of XOR activity, have long been debated, but have not yet been clearly elucidated. Recently, a system for measuring highly sensitive XOR activity in human plasma was established, and there has been progress in the research on the mechanisms of XOR activity. In addition, there are accumulating findings about the relationship between XOR activity and CVD. In this narrative review, we summarize existing knowledge regarding plasma XOR activity and its relationship with CVD and discuss future perspectives.
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Affiliation(s)
- Yuka Kotozaki
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, 1-1-1, Idaidori, Yahaba 028-3694, Iwate, Japan
- Correspondence: (Y.K.); (M.S.)
| | - Mamoru Satoh
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, 1-1-1, Idaidori, Yahaba 028-3694, Iwate, Japan
- Department of Biomedical Information Analysis, Institute for Biomedical Sciences, Iwate Medical University, 1-1-1, Idaidori, Yahaba 028-3694, Iwate, Japan
- Correspondence: (Y.K.); (M.S.)
| | - Takahito Nasu
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, 1-1-1, Idaidori, Yahaba 028-3694, Iwate, Japan
- Department of Biomedical Information Analysis, Institute for Biomedical Sciences, Iwate Medical University, 1-1-1, Idaidori, Yahaba 028-3694, Iwate, Japan
- Division of Cardiology, Department of Internal Medicine, Iwate Medical University, 2-1-1, Idaidori, Yahaba 028-3694, Iwate, Japan
| | - Kozo Tanno
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, 1-1-1, Idaidori, Yahaba 028-3694, Iwate, Japan
- Department of Hygiene and Preventive Medicine, Iwate Medical University, 1-1-1, Idaidori, Yahaba 028-3694, Iwate, Japan
| | - Fumitaka Tanaka
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, 1-1-1, Idaidori, Yahaba 028-3694, Iwate, Japan
- Division of Nephrology and Hypertension, Department of Internal Medicine, Iwate Medical University, 2-1-1, Idaidori, Yahaba 028-3694, Iwate, Japan
| | - Makoto Sasaki
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, 1-1-1, Idaidori, Yahaba 028-3694, Iwate, Japan
- Division of Ultrahigh field MRI, Institute for Biomedical Sciences, Iwate Medical University, 1-1-1, Idaidori, Yahaba 028-3694, Iwate, Japan
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18
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Tanaka S, Goto A, Yamagishi K, Iwasaki M, Yamaji T, Shimazu T, Iso H, Muraki I, Yasuda N, Saito I, Kato T, Aoyagi K, Arima K, Sakata K, Tanno K, Inoue M, Sawada N, Tsugane S. Long-term Response of Helicobacter pylori Antibody Titer After Eradication Treatment in Middle-aged Japanese: JPHC-NEXT Study. J Epidemiol 2023; 33:1-7. [PMID: 33907066 PMCID: PMC9727212 DOI: 10.2188/jea.je20200618] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Open
Abstract
BACKGROUND Helicobacter pylori (H. pylori) is an established causative factor of gastric cancer. Although the expansion of insurance coverage has led to an increase in the number of patients treated for H. pylori, the population impact of eradication treatment for H. pylori has been scarcely investigated. This study aimed to clarify the long-term responses of H. pylori antibody titer after eradication treatment using large scale cross-sectional data from the Japan Public Health Center-based Prospective Study for the Next Generation (JPHC-NEXT Study). METHODS A total of 55,282 Japanese participants aged 40 to 74 years residing in 16 areas provided blood samples from 2011 through 2016. From these, treated (n = 6,276) and untreated subjects who were seropositive for H. pylori or had serological atrophy (n = 22,420) formed the study population (n = 28,696). Seropositivity was defined as an anti-H. pylori IgG titer of ≥10 U/mL. Antibody level was compared among subjects according to self-reported treatment history as untreated, and treated for less than 1 year (<1Y), 1 through 5 years (1-5Y), and 6 or more years ago (6Y+). RESULTS Median serum antibody titer was 34.0 U/mL, 7.9 U/mL, 4.0 U/mL, and 2.9 U/mL for the untreated, <1Y, 1-5Y, and 6Y+ groups, respectively. While those treated for H. pylori within the previous year had a 76.8% lower antibody titer compared to untreated subjects, approximately 41% of subjects were still seropositive. CONCLUSION A significant reduction in H. pylori antibody titer occurs within 1 year after eradication treatment, but that a long period is needed to achieve complete negative conversion.
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Affiliation(s)
- Shiori Tanaka
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Atsushi Goto
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan,Department of Health Data Science, Graduate School of Data Science, Yokohama City University, Yokohama, Japan
| | - Kazumasa Yamagishi
- Department of Public Health Medicine, Faculty of Medicine, and Health Services Research and Development Center, University of Tsukuba, Ibaraki, Japan,Ibaraki Western Medical Center, Ibaraki, Japan
| | - Motoki Iwasaki
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Taiki Yamaji
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Taichi Shimazu
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Hiroyasu Iso
- Department of Public Health Medicine, Faculty of Medicine, and Health Services Research and Development Center, University of Tsukuba, Ibaraki, Japan,Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Isao Muraki
- Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Nobufumi Yasuda
- Department of Public Health, Kochi University Medical School, Kochi, Japan
| | - Isao Saito
- Department of Public Health and Epidemiology, Faculty of Medicine, Oita University, Oita, Japan
| | - Tadahiro Kato
- Center for Education and Educational Research, Faculty of Education, Ehime University, Ehime, Japan
| | - Kiyoshi Aoyagi
- Department of Public Health, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan
| | - Kazuhiko Arima
- Department of Public Health, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan
| | - Kiyomi Sakata
- Department of Hygiene and Preventive Medicine, Iwate Medical University, Iwate, Japan
| | - Kozo Tanno
- Department of Hygiene and Preventive Medicine, Iwate Medical University, Iwate, Japan
| | - Manami Inoue
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Norie Sawada
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Shoichiro Tsugane
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
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19
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Tsubota-Utsugi M, Yonekura Y, Suzuki R, Sasaki R, Tanno K, Shimoda H, Ogawa A, Kobayashi S, Sakata K. Psychological Distress in Responders and Nonresponders in a 5-year Follow-up Health Survey: The RIAS Study. J Epidemiol 2022; 32:527-534. [PMID: 33840653 PMCID: PMC9643786 DOI: 10.2188/jea.je20200617] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND People with poor health or mental conditions are generally unwilling to participate in the health examinations, and no studies have directly examined the relationship of psychological distress among disaster survivors with participation status to date. The present study thus examined psychosocial differences according to the respondent status in a 5-year follow-up survey among participants in the prospective health surveys on survivors of the Great East Japan Earthquake and Tsunami Disaster study in Iwate Prefecture, Japan. METHODS We analyzed data from 10,203 Japanese survivors aged ≥18 years (mean age, 65.6 years; 38.0% men) and who underwent health examinations at baseline in 2011. Participants were classified into responders and nonresponders according to their 2015 health examination participation status. Psychological distress was evaluated using the Kessler 6 scale and categorized as none, mild, and severe. Multinominal logistic regression was used to examine the risk of psychological distress in relation to participation status. RESULTS In the 2015 survey, 6,334 of 6,492 responders and 1,686 of 3,356 nonresponders were analyzed. The most common reasons for nonparticipation in the survey were participated in other health examinations, examined at a hospital, and did not have time to participate. Nonresponse in males was associated only with mild psychological stress, whereas nonresponse in females was associated with mild and severe psychological distress. CONCLUSION Nonresponders in the follow-up survey had a higher risk of psychological distress than responders. Continuous monitoring of the health of nonresponders and responders may help to prevent future health deterioration.
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Affiliation(s)
- Megumi Tsubota-Utsugi
- Department of Hygiene and Preventive Medicine, Iwate Medical University School of Medicine, Iwate, Japan
| | - Yuki Yonekura
- Graduate School of Nursing Science, St. Luke’s International University, Tokyo, Japan
| | - Ruriko Suzuki
- Department of Hygiene and Preventive Medicine, Iwate Medical University School of Medicine, Iwate, Japan
| | - Ryohei Sasaki
- Department of Human Sciences, Center for Liberal Arts and Sciences, Iwate Medical University, Iwate, Japan
| | - Kozo Tanno
- Department of Hygiene and Preventive Medicine, Iwate Medical University School of Medicine, Iwate, Japan
| | - Haruki Shimoda
- Department of Hygiene and Preventive Medicine, Iwate Medical University School of Medicine, Iwate, Japan
| | - Akira Ogawa
- Iwate Medical University School of Medicine, Iwate, Japan
| | | | - Kiyomi Sakata
- Department of Hygiene and Preventive Medicine, Iwate Medical University School of Medicine, Iwate, Japan
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20
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Iwagami M, Goto A, Katagiri R, Sutoh Y, Koyanagi YN, Nakatochi M, Nakano S, Hanyuda A, Narita A, Shimizu A, Tanno K, Hozawa A, Kinoshita K, Oze I, Ito H, Yamaji T, Sawada N, Nakamura Y, Nakamura S, Kuriki K, Suzuki S, Hishida A, Kasugai Y, Imoto I, Suzuki M, Momozawa Y, Takeuchi K, Yamamoto M, Sasaki M, Matsuo K, Tsugane S, Wakai K, Iwasaki M. Blood Lipids and the Risk of Colorectal Cancer: Mendelian Randomization Analyses in the Japanese Consortium of Genetic Epidemiology Studies. Cancer Prev Res (Phila) 2022; 15:827-836. [PMID: 36040498 DOI: 10.1158/1940-6207.capr-22-0146] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Revised: 07/07/2022] [Accepted: 08/25/2022] [Indexed: 01/31/2023]
Abstract
The associations between blood lipids, including total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), triglycerides, and low-density lipoprotein cholesterol (LDL-C), and colorectal cancer risk are controversial. We evaluated potential causal relationships between blood lipids and colorectal cancer risk. Using the baseline data from the Japanese Consortium of Genetic Epidemiology studies, we estimated the single-nucleotide polymorphism (SNP)-exposure associations (n = 34,546 for TC, n = 50,290 for HDL-C, n = 51,307 for triglycerides, and n = 30,305 for LDL-C). We also estimated the SNP-outcome associations in another Japanese dataset (n = 7,936 colorectal cancer cases and n = 38,042 controls). We conducted Mendelian randomization (MR) analyses for the association between each blood lipid type and the risk of colorectal cancer using an inverse variance-weighted method. The total variances explained by the selected SNPs in TC (68 SNPs), HDL-C (50 SNPs), log-transformed triglycerides (26 SNPs), and LDL-C (35 SNPs) were 7.0%, 10.0%, 6.2%, and 5.7%, respectively. The odds ratios for colorectal cancer were 1.15 [95% confidence interval (CI), 1.01-1.32] per 1 standard deviation (SD; 33.3 mg/dL) increase in TC, 1.11 (95% CI, 0.98-1.26) per 1 SD (15.4 mg/dL) increase in HDL-C, 1.06 (95% CI, 0.90-1.26) per 1 SD (0.5 log-mg/dL) increase in log-transformed triglycerides, and 1.17 (95% CI, 0.91-1.50) per 1 SD (29.6 mg/dL) increase in LDL-C. Sensitivity analyses consistently suggested the positive association between TC and colorectal cancer, whereas results of each lipid component were inconsistent. In conclusion, this large MR study of a Japanese population showed a potentially causal association between high TC and colorectal cancer risk, although the association between each lipid component and colorectal cancer remained inconclusive. PREVENTION RELEVANCE In this large MR analysis of a Japanese population, a positive association was found between genetically predicted high total cholesterol (TC) levels and an increased risk of colorectal cancer. Therefore, lowering TC levels by lifestyle modifications or medications may be justified for the purpose of preventing colorectal cancer.
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Affiliation(s)
- Masao Iwagami
- Division of Epidemiology, National Cancer Center Institute for Cancer Control, Tokyo, Japan.,Department of Health Services Research, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan
| | - Atsushi Goto
- Division of Epidemiology, National Cancer Center Institute for Cancer Control, Tokyo, Japan.,Department of Health Data Science, Graduate School of Data Science, Yokohama City University, Kanagawa, Japan
| | - Ryoko Katagiri
- Division of Epidemiology, National Cancer Center Institute for Cancer Control, Tokyo, Japan
| | - Yoichi Sutoh
- Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank, Iwate, Japan
| | - Yuriko N Koyanagi
- Division of Cancer Information and Control, Aichi Cancer Center, Aichi, Japan
| | - Masahiro Nakatochi
- Public Health Informatics Unit, Department of Integrated Health Sciences, Nagoya University Graduate School of Medicine, Aichi, Japan
| | - Shiori Nakano
- Division of Epidemiology, National Cancer Center Institute for Cancer Control, Tokyo, Japan
| | - Akiko Hanyuda
- Division of Epidemiology, National Cancer Center Institute for Cancer Control, Tokyo, Japan.,Department of Ophthalmology, Keio University School of Medicine, Tokyo, Japan
| | - Akira Narita
- Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, Miyagi, Japan
| | - Atsushi Shimizu
- Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank, Iwate, Japan
| | - Kozo Tanno
- Division of Clinical Research and Epidemiology, Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Iwate, Japan
| | - Atsushi Hozawa
- Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Miyagi, Japan
| | - Kengo Kinoshita
- Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, Miyagi, Japan
| | - Isao Oze
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center, Aichi, Japan
| | - Hidemi Ito
- Division of Cancer Information and Control, Aichi Cancer Center, Aichi, Japan.,Division of Descriptive Cancer Epidemiology, Nagoya University Graduate School of Medicine, Aichi, Japan
| | - Taiki Yamaji
- Division of Epidemiology, National Cancer Center Institute for Cancer Control, Tokyo, Japan
| | - Norie Sawada
- Division of Cohort Research, National Cancer Center Institute for Cancer Control, Tokyo, Japan
| | - Yohko Nakamura
- Cancer Prevention Center, Chiba Cancer Center Research Institute, Chiba, Japan
| | - Sho Nakamura
- Graduate School of Health Innovation, Kanagawa University of Human Services, Kanagawa, Japan.,Cancer Prevention and Control Division, Kanagawa Cancer Center Research Institute, Kanagawa, Japan
| | - Kiyonori Kuriki
- Laboratory of Public Health, School of Food and Nutritional Sciences, University of Shizuoka, Shizuoka, Japan
| | - Sadao Suzuki
- Department of Public Health, Nagoya City University Graduate School of Medical Sciences, Aichi, Japan
| | - Asahi Hishida
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Aichi, Japan
| | - Yumiko Kasugai
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center, Aichi, Japan
| | - Issei Imoto
- Aichi Cancer Center Research Institute, Aichi, Japan
| | - Midori Suzuki
- Core Facilities, Aichi Cancer Center Research Institute, Aichi, Japan
| | - Yukihide Momozawa
- Laboratory for Genotyping Development, RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan
| | - Kenji Takeuchi
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Aichi, Japan
| | - Masayuki Yamamoto
- Tohoku Medical Megabank Organization, Tohoku University, Miyagi, Japan
| | - Makoto Sasaki
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Iwate, Japan
| | - Keitaro Matsuo
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center, Aichi, Japan.,Division of Cancer Epidemiology, Nagoya University Graduate School of Medicine, Aichi, Japan
| | - Shoichiro Tsugane
- Division of Cohort Research, National Cancer Center Institute for Cancer Control, Tokyo, Japan.,National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo, Japan
| | - Kenji Wakai
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Aichi, Japan
| | - Motoki Iwasaki
- Division of Epidemiology, National Cancer Center Institute for Cancer Control, Tokyo, Japan.,Division of Cohort Research, National Cancer Center Institute for Cancer Control, Tokyo, Japan
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21
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Mishra A, Malik R, Hachiya T, Jürgenson T, Namba S, Posner DC, Kamanu FK, Koido M, Le Grand Q, Shi M, He Y, Georgakis MK, Caro I, Krebs K, Liaw YC, Vaura FC, Lin K, Winsvold BS, Srinivasasainagendra V, Parodi L, Bae HJ, Chauhan G, Chong MR, Tomppo L, Akinyemi R, Roshchupkin GV, Habib N, Jee YH, Thomassen JQ, Abedi V, Cárcel-Márquez J, Nygaard M, Leonard HL, Yang C, Yonova-Doing E, Knol MJ, Lewis AJ, Judy RL, Ago T, Amouyel P, Armstrong ND, Bakker MK, Bartz TM, Bennett DA, Bis JC, Bordes C, Børte S, Cain A, Ridker PM, Cho K, Chen Z, Cruchaga C, Cole JW, de Jager PL, de Cid R, Endres M, Ferreira LE, Geerlings MI, Gasca NC, Gudnason V, Hata J, He J, Heath AK, Ho YL, Havulinna AS, Hopewell JC, Hyacinth HI, Inouye M, Jacob MA, Jeon CE, Jern C, Kamouchi M, Keene KL, Kitazono T, Kittner SJ, Konuma T, Kumar A, Lacaze P, Launer LJ, Lee KJ, Lepik K, Li J, Li L, Manichaikul A, Markus HS, Marston NA, Meitinger T, Mitchell BD, Montellano FA, Morisaki T, Mosley TH, Nalls MA, Nordestgaard BG, O'Donnell MJ, Okada Y, Onland-Moret NC, Ovbiagele B, Peters A, Psaty BM, Rich SS, Rosand J, Sabatine MS, Sacco RL, Saleheen D, Sandset EC, Salomaa V, Sargurupremraj M, Sasaki M, Satizabal CL, Schmidt CO, Shimizu A, Smith NL, Sloane KL, Sutoh Y, Sun YV, Tanno K, Tiedt S, Tatlisumak T, Torres-Aguila NP, Tiwari HK, Trégouët DA, Trompet S, Tuladhar AM, Tybjærg-Hansen A, van Vugt M, Vibo R, Verma SS, Wiggins KL, Wennberg P, Woo D, Wilson PWF, Xu H, Yang Q, Yoon K, Millwood IY, Gieger C, Ninomiya T, Grabe HJ, Jukema JW, Rissanen IL, Strbian D, Kim YJ, Chen PH, Mayerhofer E, Howson JMM, Irvin MR, Adams H, Wassertheil-Smoller S, Christensen K, Ikram MA, Rundek T, Worrall BB, Lathrop GM, Riaz M, Simonsick EM, Kõrv J, França PHC, Zand R, Prasad K, Frikke-Schmidt R, de Leeuw FE, Liman T, Haeusler KG, Ruigrok YM, Heuschmann PU, Longstreth WT, Jung KJ, Bastarache L, Paré G, Damrauer SM, Chasman DI, Rotter JI, Anderson CD, Zwart JA, Niiranen TJ, Fornage M, Liaw YP, Seshadri S, Fernández-Cadenas I, Walters RG, Ruff CT, Owolabi MO, Huffman JE, Milani L, Kamatani Y, Dichgans M, Debette S. Publisher Correction: Stroke genetics informs drug discovery and risk prediction across ancestries. Nature 2022; 612:E7. [PMID: 36376532 PMCID: PMC9712088 DOI: 10.1038/s41586-022-05492-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Aniket Mishra
- Bordeaux Population Health Research Center, University of Bordeaux, Inserm, UMR 1219, Bordeaux, France
| | - Rainer Malik
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany
| | - Tsuyoshi Hachiya
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Iwate, Japan
| | - Tuuli Jürgenson
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
- Institute of Mathematics and Statistics, University of Tartu, Tartu, Estonia
| | - Shinichi Namba
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
| | - Daniel C Posner
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA
| | - Frederick K Kamanu
- TIMI Study Group, Boston, MA, USA
- Division of Cardiovascular Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Masaru Koido
- Division of Molecular Pathology, Institute of Medical Sciences, The University of Tokyo, Tokyo, Japan
- Laboratory of Complex Trait Genomics, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan
| | - Quentin Le Grand
- Bordeaux Population Health Research Center, University of Bordeaux, Inserm, UMR 1219, Bordeaux, France
| | - Mingyang Shi
- Laboratory of Complex Trait Genomics, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan
| | - Yunye He
- Laboratory of Complex Trait Genomics, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan
| | - Marios K Georgakis
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Ilana Caro
- Bordeaux Population Health Research Center, University of Bordeaux, Inserm, UMR 1219, Bordeaux, France
| | - Kristi Krebs
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Yi-Ching Liaw
- Laboratory of Clinical Genome Sequencing, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan
- Department of Public Health and Institute of Public Health, Chung Shan Medical University, Taichung, Taiwan
| | - Felix C Vaura
- Department of Internal Medicine, University of Turku, Turku, Finland
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Turku, Finland
| | - Kuang Lin
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Bendik Slagsvold Winsvold
- Department of Research and Innovation, Division of Clinical Neuroscience, Oslo University Hospital, Oslo, Norway
- K. G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
- Department of Neurology, Oslo University Hospital, Oslo, Norway
| | - Vinodh Srinivasasainagendra
- Department of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Livia Parodi
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Hee-Joon Bae
- Department of Neurology and Cerebrovascular Disease Center, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Republic of Korea
| | | | - Michael R Chong
- Thrombosis and Atherosclerosis Research Institute, David Braley Cardiac, Vascular and Stroke Research Institute, Hamilton, Ontario, Canada
- Department of Pathology and Molecular Medicine, Michael G. DeGroote School of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Liisa Tomppo
- Department of Neurology, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Rufus Akinyemi
- Center for Genomic and Precision Medicine, College of Medicine, University of Ibadan, Ibadan, Nigeria
- Neuroscience and Ageing Research Unit Institute for Advanced Medical Research and Training, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Gennady V Roshchupkin
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Naomi Habib
- The Edmond and Lily Safra Center for Brain Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Yon Ho Jee
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Jesper Qvist Thomassen
- Department of Clinical Biochemistry, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark
| | - Vida Abedi
- Department of Molecular and Functional Genomics, Weis Center for Research, Geisinger Health System, Danville, VA, USA
- Department of Public Health Sciences, College of Medicine, The Pennsylvania State University, State College, PA, USA
| | - Jara Cárcel-Márquez
- Stroke Pharmacogenomics and Genetics Laboratory, Biomedical Research Institute Sant Pau (IIB Sant Pau), Barcelona, Spain
- Departament de Medicina, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Marianne Nygaard
- The Danish Twin Registry, Department of Public Health, University of Southern Denmark, Odense, Denmark
- Department of Clinical Genetics, Odense University Hospital, Odense, Denmark
| | - Hampton L Leonard
- Center for Alzheimer's and Related Dementias, National Institutes of Health, Bethesda, MD, USA
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
- Data Tecnica International, Glen Echo, MD, USA
| | - Chaojie Yang
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
- Department of Biochemistry and Molecular Genetics, University of Virginia, Charlottesville, VA, USA
| | - Ekaterina Yonova-Doing
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Department of Genetics, Novo Nordisk Research Centre Oxford, Oxford, UK
| | - Maria J Knol
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Adam J Lewis
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Renae L Judy
- Department of Surgery, University of Pennsylvania, Philadelphia, PA, USA
| | - Tetsuro Ago
- Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Philippe Amouyel
- University of Lille, INSERM U1167, RID-AGE, LabEx DISTALZ, Risk Factors and Molecular Determinants of Aging-Related Diseases, Lille, France
- CHU Lille, Public Health Department, Lille, France
- Institut Pasteur de Lille, Lille, France
| | - Nicole D Armstrong
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Mark K Bakker
- UMC Utrecht Brain Center, Department of Neurology and Neurosurgery, University Medical Center Utrecht, University Utrecht, Utrecht, The Netherlands
| | - Traci M Bartz
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Joshua C Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Constance Bordes
- Bordeaux Population Health Research Center, University of Bordeaux, Inserm, UMR 1219, Bordeaux, France
| | - Sigrid Børte
- K. G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
- Research and Communication Unit for Musculoskeletal Health (FORMI), Department of Research and Innovation, Division of Clinical Neuroscience, Oslo University Hospital, Oslo, Norway
| | - Anael Cain
- The Edmond and Lily Safra Center for Brain Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Paul M Ridker
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Kelly Cho
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA
| | - Zhengming Chen
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
- MRC Population Health Research Unit, University of Oxford, Oxford, UK
| | - Carlos Cruchaga
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, Saint Louis, MO, USA
| | - John W Cole
- VA Maryland Health Care System, Baltimore, MD, USA
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Phil L de Jager
- Program in Medical and Population Genetics, Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge, MA, USA
- Center for Translational and Computational Neuroimmunology, Department of Neurology, Columbia University Medical Center, New York, NY, USA
| | - Rafael de Cid
- GenomesForLife-GCAT Lab Group, Germans Trias i Pujol Research Institute (IGTP), Badalona, Spain
| | - Matthias Endres
- Klinik und Hochschulambulanz für Neurologie, Charité-Universitätsmedizin Berlin, Berlin, Germany
- Center for Stroke Research Berlin, Berlin, Germany
- German Center for Neurodegenerative Diseases (DZNE), partner site Berlin, Berlin, Germany
- German Centre for Cardiovascular Research (DZHK), partner site Berlin, Berlin, Germany
| | - Leslie E Ferreira
- Post-Graduation Program on Health and Environment, Department of Medicine and Joinville Stroke Biobank, University of the Region of Joinville, Santa Catarina, Brazil
| | - Mirjam I Geerlings
- Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Natalie C Gasca
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Vilmundur Gudnason
- Icelandic Heart Association, Kopavogur, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Jun Hata
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Jing He
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Alicia K Heath
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Yuk-Lam Ho
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA
| | - Aki S Havulinna
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
- Institute for Molecular Medicine Finland, FIMM-HiLIFE, Helsinki, Finland
| | - Jemma C Hopewell
- Clinical Trial Service and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Hyacinth I Hyacinth
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Michael Inouye
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Cambridge Baker Systems Genomics Initiative, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Cambridge Baker Systems Genomics Initiative, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, UK
- British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, UK
| | - Mina A Jacob
- Department of Neurology, Donders Center for Medical Neuroscience, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Christina E Jeon
- Los Angeles County Department of Public Health, Los Angeles, CA, USA
| | - Christina Jern
- Institute of Biomedicine, Department of Laboratory Medicine, the Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Clinical Genetics and Genomics, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Masahiro Kamouchi
- Department of Health Care Administration and Management, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Keith L Keene
- Department of Biology, Brody School of Medicine Center for Health Disparities, East Carolina University, Greenville, NC, USA
| | - Takanari Kitazono
- Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Steven J Kittner
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA
- Department of Neurology and Geriatric Research and Education Clinical Center, VA Maryland Health Care System, Baltimore, MD, USA
| | - Takahiro Konuma
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
| | - Amit Kumar
- Rajendra Institute of Medical Sciences, Ranchi, India
| | - Paul Lacaze
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Lenore J Launer
- Intramural Research Program, National Institute on Aging, NIH, Baltimore, MD, USA
| | - Keon-Joo Lee
- Department of Neurology, Korea University Guro Hospital, Seoul, Republic of Korea
| | - Kaido Lepik
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
- Department of Computational Biology, University of Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
- University Center for Primary Care and Public Health, Lausanne, Switzerland
| | - Jiang Li
- Department of Molecular and Functional Genomics, Weis Center for Research, Geisinger Health System, Danville, VA, USA
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Ani Manichaikul
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | - Hugh S Markus
- Stroke Research Group, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Nicholas A Marston
- TIMI Study Group, Boston, MA, USA
- Division of Cardiovascular Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Thomas Meitinger
- Institute of Human Genetics, Technical University of Munich, Munich, Germany
- Institute of Human Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Braxton D Mitchell
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
- Geriatrics Research and Education Clinical Center, Baltimore Veterans Administration Medical Center, Baltimore, MD, USA
| | - Felipe A Montellano
- Institute of Clinical Epidemiology and Biometry, University of Würzburg, Würzburg, Germany
- Department of Neurology, University Hospital Würzburg, Würzburg, Germany
| | - Takayuki Morisaki
- Division of Molecular Pathology, Institute of Medical Sciences, The University of Tokyo, Tokyo, Japan
| | - Thomas H Mosley
- The MIND Center, University of Mississippi Medical Center, Jackson, MS, USA
| | - Mike A Nalls
- Center for Alzheimer's and Related Dementias, National Institutes of Health, Bethesda, MD, USA
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
- Data Tecnica International, Glen Echo, MD, USA
| | - Børge G Nordestgaard
- Department of Clinical Biochemistry, Copenhagen University Hospital-Herlev and Gentofte, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Martin J O'Donnell
- College of Medicine Nursing and Health Science, NUI Galway, Galway, Ireland
| | - Yukinori Okada
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
- Department of Genome Informatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
- Laboratory for Systems Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Laboratory of Statistical Immunology, Immunology Frontier Research Center (WPI-IFReC), Osaka University, Suita, Japan
- Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Suita, Japan
- Center for Infectious Disease Education and Research (CiDER), Osaka University, Suita, Japan
| | - N Charlotte Onland-Moret
- Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Bruce Ovbiagele
- Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München,, German Research Center for Environmental Health, Neuherberg, Germany
- Institute for Medical Information Processing, Biometry and Epidemiology, Ludwig Maximilian University Munich, Munich, Germany
- German Centre for Cardiovascular Research (DZHK), partner site Munich, Munich, Germany
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Department of Health Systems and Population Health, University of Washington, Seattle, WA, USA
| | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | - Jonathan Rosand
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge, MA, USA
- McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, USA
| | - Marc S Sabatine
- TIMI Study Group, Boston, MA, USA
- Division of Cardiovascular Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Ralph L Sacco
- Department of Neurology, University of Miami Miller School of Medicine, Miami, FL, USA
- Evelyn F. McKnight Brain Institute, Gainesville, FL, USA
| | - Danish Saleheen
- Division of Cardiology, Department of Medicine, Columbia University, New York, NY, USA
| | - Else Charlotte Sandset
- Stroke Unit, Department of Neurology, Oslo University Hospital, Oslo, Norway
- Research and Development, The Norwegian Air Ambulance Foundation, Oslo, Norway
| | - Veikko Salomaa
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Muralidharan Sargurupremraj
- Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, TX, USA
| | - Makoto Sasaki
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Iwate, Japan
| | - Claudia L Satizabal
- Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, TX, USA
- Framingham Heart Study, Framingham, MA, USA
| | - Carsten O Schmidt
- University Medicine Greifswald, Institute for Community Medicine, SHIP/KEF, Greifswald, Germany
| | - Atsushi Shimizu
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Iwate, Japan
| | - Nicholas L Smith
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Kaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, WA, USA
- Department of Veterans Affairs Office of Research and Development, Seattle Epidemiologic Research and Information Center, Seattle, WA, USA
| | - Kelly L Sloane
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Yoichi Sutoh
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Iwate, Japan
| | - Yan V Sun
- Atlanta VA Health Care System, Decatur, GA, USA
- Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, USA
| | - Kozo Tanno
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Iwate, Japan
| | - Steffen Tiedt
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany
| | - Turgut Tatlisumak
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Unviersity Hospital, Gothenburg, Sweden
| | - Nuria P Torres-Aguila
- Stroke Pharmacogenomics and Genetics Laboratory, Biomedical Research Institute Sant Pau (IIB Sant Pau), Barcelona, Spain
| | - Hemant K Tiwari
- Department of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA
| | - David-Alexandre Trégouët
- Bordeaux Population Health Research Center, University of Bordeaux, Inserm, UMR 1219, Bordeaux, France
| | - Stella Trompet
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Anil Man Tuladhar
- Department of Neurology, Donders Center for Medical Neuroscience, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Anne Tybjærg-Hansen
- Department of Clinical Biochemistry, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Marion van Vugt
- Division Heart & Lungs, Department of Cardiology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Riina Vibo
- Department of Neurology and Neurosurgery, University of Tartu, Tartu, Estonia
| | - Shefali S Verma
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Kerri L Wiggins
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Patrik Wennberg
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Daniel Woo
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Peter W F Wilson
- Atlanta VA Health Care System, Decatur, GA, USA
- Department of Medicine, Division of Cardiovascular Disease, Emory University School of Medicine, Atlanta, GA, USA
| | - Huichun Xu
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Qiong Yang
- Framingham Heart Study, Framingham, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Kyungheon Yoon
- Division of Genome Science, Department of Precision Medicine, National Institute of Health, Cheongju, Republic of Korea
| | - Iona Y Millwood
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
- MRC Population Health Research Unit, University of Oxford, Oxford, UK
| | - Christian Gieger
- Research Unit Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Toshiharu Ninomiya
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Hans J Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
- German Center for Neurodegenerative Diseases (DZNE), site Rostock/Greifswald, Rostock, Germany
| | - J Wouter Jukema
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
- Netherlands Heart Institute, Utrecht, The Netherlands
- Einthoven Laboratory for Experimental Vascular Medicine, LUMC, Leiden, The Netherlands
| | - Ina L Rissanen
- Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Daniel Strbian
- Department of Neurology, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Young Jin Kim
- Division of Genome Science, Department of Precision Medicine, National Institute of Health, Cheongju, Republic of Korea
| | - Pei-Hsin Chen
- Department of Public Health and Institute of Public Health, Chung Shan Medical University, Taichung, Taiwan
| | - Ernst Mayerhofer
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Joanna M M Howson
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Department of Genetics, Novo Nordisk Research Centre Oxford, Oxford, UK
| | - Marguerite R Irvin
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Hieab Adams
- Department of Clinical Genetics, Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands
- Latin American Brain Health (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile
| | - Sylvia Wassertheil-Smoller
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, New York, NY, USA
| | - Kaare Christensen
- The Danish Twin Registry, Department of Public Health, University of Southern Denmark, Odense, Denmark
- Department of Clinical Genetics, Odense University Hospital, Odense, Denmark
- Department of Clinical Biochemistry and Pharmacology, Odense University Hospital, Odense, Denmark
| | - Mohammad A Ikram
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Tatjana Rundek
- Department of Neurology, University of Miami Miller School of Medicine, Miami, FL, USA
- Evelyn F. McKnight Brain Institute, Gainesville, FL, USA
| | - Bradford B Worrall
- Department of Neurology, University of Virginia, Charlottesville, VA, USA
- Department of Public Health Science, University of Virginia, Charlottesville, VA, USA
| | | | - Moeen Riaz
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Eleanor M Simonsick
- Longitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, Baltimore, MD, USA
| | - Janika Kõrv
- Department of Neurology and Neurosurgery, University of Tartu, Tartu, Estonia
| | - Paulo H C França
- Post-Graduation Program on Health and Environment, Department of Medicine and Joinville Stroke Biobank, University of the Region of Joinville, Santa Catarina, Brazil
| | - Ramin Zand
- Geisinger Neuroscience Institute, Geisinger Health System, Danville, PA, USA
- Department of Neurology, College of Medicine, The Pennsylvania State University, State College, PA, USA
| | | | - Ruth Frikke-Schmidt
- Department of Clinical Biochemistry, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Frank-Erik de Leeuw
- Department of Neurology, Donders Center for Medical Neuroscience, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Thomas Liman
- Center for Stroke Research Berlin, Berlin, Germany
- Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
- Klinik für Neurologie, Carl von Ossietzky University of Oldenburg, Oldenburg, Germany
| | | | - Ynte M Ruigrok
- UMC Utrecht Brain Center, Department of Neurology and Neurosurgery, University Medical Center Utrecht, University Utrecht, Utrecht, The Netherlands
| | - Peter Ulrich Heuschmann
- Institute of Clinical Epidemiology and Biometry, University of Würzburg, Würzburg, Germany
- Comprehensive Heart Failure Center, University Hospital Würzburg, Würzburg, Germany
- Clinical Trial Center, University Hospital Würzburg, Würzburg, Germany
| | - W T Longstreth
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Department of Neurology, University of Washington, Seattle, WA, USA
| | - Keum Ji Jung
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Institute for Health Promotion, Graduate School of Public Health, Yonsei University, Seoul, Republic of Korea
| | - Lisa Bastarache
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Guillaume Paré
- Thrombosis and Atherosclerosis Research Institute, David Braley Cardiac, Vascular and Stroke Research Institute, Hamilton, Ontario, Canada
- Department of Pathology and Molecular Medicine, Michael G. DeGroote School of Medicine, McMaster University, Hamilton, Ontario, Canada
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada
- Population Health Research Institute, David Braley Cardiac, Vascular and Stroke Research Institute, Hamilton, Ontario, Canada
| | - Scott M Damrauer
- Department of Surgery and Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA
- Corporal Michael Crescenz VA Medical Center, Philadelphia, PA, USA
| | - Daniel I Chasman
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Jerome I Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Christopher D Anderson
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge, MA, USA
- McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Brigham and Women's Hospital, Boston, MA, USA
| | - John-Anker Zwart
- Department of Research and Innovation, Division of Clinical Neuroscience, Oslo University Hospital, Oslo, Norway
- K. G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Teemu J Niiranen
- Department of Internal Medicine, University of Turku, Turku, Finland
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Turku, Finland
- Division of Medicine, Turku University Hospital, Turku, Finland
| | - Myriam Fornage
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
- Human Genetics Center, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Yung-Po Liaw
- Department of Public Health and Institute of Public Health, Chung Shan Medical University, Taichung, Taiwan
- Department of Medical Imaging, Chung Shan Medical University Hospital, Taichung, Taiwan
| | - Sudha Seshadri
- Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, TX, USA
- Framingham Heart Study, Framingham, MA, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
| | - Israel Fernández-Cadenas
- Stroke Pharmacogenomics and Genetics Laboratory, Biomedical Research Institute Sant Pau (IIB Sant Pau), Barcelona, Spain
| | - Robin G Walters
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
- MRC Population Health Research Unit, University of Oxford, Oxford, UK
| | - Christian T Ruff
- TIMI Study Group, Boston, MA, USA
- Division of Cardiovascular Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Mayowa O Owolabi
- Center for Genomic and Precision Medicine, College of Medicine, University of Ibadan, Ibadan, Nigeria
- Department of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Jennifer E Huffman
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA
| | - Lili Milani
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Yoichiro Kamatani
- Laboratory of Complex Trait Genomics, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan
| | - Martin Dichgans
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany.
- Munich Cluster for Systems Neurology, Munich, Germany.
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany.
| | - Stephanie Debette
- Bordeaux Population Health Research Center, University of Bordeaux, Inserm, UMR 1219, Bordeaux, France.
- Department of Neurology, Institute for Neurodegenerative Diseases, CHU de Bordeaux, Bordeaux, France.
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Taguchi S, Nasu T, Satoh M, Kotozaki Y, Tanno K, Tanaka F, Asahi K, Ohmomo H, Kikuchi H, Kobayashi T, Morino Y, Shimizu A, Sobue K, Sasaki M. Association between Plasma Xanthine Oxidoreductase Activity and the Renal Function in a General Japanese Population: The Tohoku Medical Megabank Community-Based Cohort Study. Kidney Blood Press Res 2022; 47:722-728. [PMID: 36318900 DOI: 10.1159/000527654] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Accepted: 10/10/2022] [Indexed: 12/24/2022] Open
Abstract
INTRODUCTION Xanthine oxidoreductase (XOR) has been identified as a critical source of reactive oxygen species in various pathophysiological conditions, including hypertension, endothelial dysfunction, and atherosclerosis. This study investigated the association between XOR and renal function in a general Japanese population. METHODS The Iwate Tohoku Medical Megabank Organization pooled individual participant data from a community-based cohort study in Iwate prefecture. Chronic kidney disease (CKD) was estimated using the estimated glomerular filtration rate of cystatin C (eGFRcys). Individuals with a history of hyperuricemia or severe renal dysfunction (eGFRcys <15 mL/min/1.73 m2 or undergoing dialysis) were excluded from the study. We performed a multinominal multivariate logistic analysis adjusted for age, blood pressure, uric acid, glycated hemoglobin A1c, low-density lipoprotein cholesterol, and high-density lipoprotein cholesterol to associate XOR activity and renal function. RESULTS The present study included 4,248 participants (male/female: 1,373/2,875, age: 62.9 ± 11.7 years). When participants were divided according to XOR quartiles, blood pressure, body mass index, uric acid, low-density lipoprotein cholesterol, and glycated hemoglobin A1c were highest in the highest XOR quartile (all p < 0.001). The XOR activity was significantly higher in the subgroup with CKD stage G3 and G4 (G1 vs. G2 vs. G3-G4: 44.8 ± 40.5 vs. 52.0 ± 42.9 vs. 54.1 ± 43.9 pmol/h/mL, p = 0.02). The higher XOR activity was significantly associated with an increase of CKD stage: the odd ratios (95% confidence intervals) per 1 pmol/h/mL increase in XOR activity with CKD stage G1 as a reference were 1.37 (1.13-1.73) in G2 and 1.51 (1.30-1.84) in G3-G4. CONCLUSION The present study concluded that high XOR activity was associated with the severity of CKD in a general Japanese population, suggesting that upregulated XOR activity may be involved in advanced renal dysfunction.
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Affiliation(s)
- Satoru Taguchi
- Department of Biomedical Information Analysis, Institute for Biomedical Sciences, Iwate Medical University, Morioka, Japan, .,Division of Cardiology, Department of Internal Medicine, Iwate Medical University, Morioka, Japan,
| | - Takahito Nasu
- Department of Biomedical Information Analysis, Institute for Biomedical Sciences, Iwate Medical University, Morioka, Japan.,Division of Cardiology, Department of Internal Medicine, Iwate Medical University, Morioka, Japan.,Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Morioka, Japan
| | - Mamoru Satoh
- Department of Biomedical Information Analysis, Institute for Biomedical Sciences, Iwate Medical University, Morioka, Japan.,Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Morioka, Japan
| | - Yuka Kotozaki
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Morioka, Japan
| | - Kozo Tanno
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Morioka, Japan.,Department of Hygiene and Preventive Medicine, Iwate Medical University, Morioka, Japan
| | - Fumitaka Tanaka
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Morioka, Japan.,Division of Nephrology and Hypertension, Department of Internal Medicine, Iwate MedicalUniversity, Morioka, Japan
| | - Koichi Asahi
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Morioka, Japan.,Division of Nephrology and Hypertension, Department of Internal Medicine, Iwate MedicalUniversity, Morioka, Japan
| | - Hideki Ohmomo
- Department of Biomedical Information Analysis, Institute for Biomedical Sciences, Iwate Medical University, Morioka, Japan.,Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Morioka, Japan
| | - Hiroto Kikuchi
- Department of Biomedical Information Analysis, Institute for Biomedical Sciences, Iwate Medical University, Morioka, Japan.,Division of Cardiology, Department of Internal Medicine, Iwate Medical University, Morioka, Japan
| | - Takamasa Kobayashi
- Division of Cardiology, Department of Internal Medicine, Iwate Medical University, Morioka, Japan
| | - Yoshihiro Morino
- Division of Cardiology, Department of Internal Medicine, Iwate Medical University, Morioka, Japan
| | - Atsushi Shimizu
- Department of Biomedical Information Analysis, Institute for Biomedical Sciences, Iwate Medical University, Morioka, Japan.,Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Morioka, Japan
| | - Kenji Sobue
- Department of Neuroscience, Institute for Biomedical Science, Iwate Medical University, Morioka, Japan
| | - Makoto Sasaki
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Morioka, Japan.,Division of Ultrahigh Field MRI, Institute for Biomedical Science, Iwate Medical University, Morioka, Japan
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Mishra A, Malik R, Hachiya T, Jürgenson T, Namba S, Posner DC, Kamanu FK, Koido M, Le Grand Q, Shi M, He Y, Georgakis MK, Caro I, Krebs K, Liaw YC, Vaura FC, Lin K, Winsvold BS, Srinivasasainagendra V, Parodi L, Bae HJ, Chauhan G, Chong MR, Tomppo L, Akinyemi R, Roshchupkin GV, Habib N, Jee YH, Thomassen JQ, Abedi V, Cárcel-Márquez J, Nygaard M, Leonard HL, Yang C, Yonova-Doing E, Knol MJ, Lewis AJ, Judy RL, Ago T, Amouyel P, Armstrong ND, Bakker MK, Bartz TM, Bennett DA, Bis JC, Bordes C, Børte S, Cain A, Ridker PM, Cho K, Chen Z, Cruchaga C, Cole JW, de Jager PL, de Cid R, Endres M, Ferreira LE, Geerlings MI, Gasca NC, Gudnason V, Hata J, He J, Heath AK, Ho YL, Havulinna AS, Hopewell JC, Hyacinth HI, Inouye M, Jacob MA, Jeon CE, Jern C, Kamouchi M, Keene KL, Kitazono T, Kittner SJ, Konuma T, Kumar A, Lacaze P, Launer LJ, Lee KJ, Lepik K, Li J, Li L, Manichaikul A, Markus HS, Marston NA, Meitinger T, Mitchell BD, Montellano FA, Morisaki T, Mosley TH, Nalls MA, Nordestgaard BG, O'Donnell MJ, Okada Y, Onland-Moret NC, Ovbiagele B, Peters A, Psaty BM, Rich SS, Rosand J, Sabatine MS, Sacco RL, Saleheen D, Sandset EC, Salomaa V, Sargurupremraj M, Sasaki M, Satizabal CL, Schmidt CO, Shimizu A, Smith NL, Sloane KL, Sutoh Y, Sun YV, Tanno K, Tiedt S, Tatlisumak T, Torres-Aguila NP, Tiwari HK, Trégouët DA, Trompet S, Tuladhar AM, Tybjærg-Hansen A, van Vugt M, Vibo R, Verma SS, Wiggins KL, Wennberg P, Woo D, Wilson PWF, Xu H, Yang Q, Yoon K, Millwood IY, Gieger C, Ninomiya T, Grabe HJ, Jukema JW, Rissanen IL, Strbian D, Kim YJ, Chen PH, Mayerhofer E, Howson JMM, Irvin MR, Adams H, Wassertheil-Smoller S, Christensen K, Ikram MA, Rundek T, Worrall BB, Lathrop GM, Riaz M, Simonsick EM, Kõrv J, França PHC, Zand R, Prasad K, Frikke-Schmidt R, de Leeuw FE, Liman T, Haeusler KG, Ruigrok YM, Heuschmann PU, Longstreth WT, Jung KJ, Bastarache L, Paré G, Damrauer SM, Chasman DI, Rotter JI, Anderson CD, Zwart JA, Niiranen TJ, Fornage M, Liaw YP, Seshadri S, Fernández-Cadenas I, Walters RG, Ruff CT, Owolabi MO, Huffman JE, Milani L, Kamatani Y, Dichgans M, Debette S. Stroke genetics informs drug discovery and risk prediction across ancestries. Nature 2022; 611:115-123. [PMID: 36180795 PMCID: PMC9524349 DOI: 10.1038/s41586-022-05165-3] [Citation(s) in RCA: 108] [Impact Index Per Article: 54.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Accepted: 07/29/2022] [Indexed: 01/29/2023]
Abstract
Previous genome-wide association studies (GWASs) of stroke - the second leading cause of death worldwide - were conducted predominantly in populations of European ancestry1,2. Here, in cross-ancestry GWAS meta-analyses of 110,182 patients who have had a stroke (five ancestries, 33% non-European) and 1,503,898 control individuals, we identify association signals for stroke and its subtypes at 89 (61 new) independent loci: 60 in primary inverse-variance-weighted analyses and 29 in secondary meta-regression and multitrait analyses. On the basis of internal cross-ancestry validation and an independent follow-up in 89,084 additional cases of stroke (30% non-European) and 1,013,843 control individuals, 87% of the primary stroke risk loci and 60% of the secondary stroke risk loci were replicated (P < 0.05). Effect sizes were highly correlated across ancestries. Cross-ancestry fine-mapping, in silico mutagenesis analysis3, and transcriptome-wide and proteome-wide association analyses revealed putative causal genes (such as SH3PXD2A and FURIN) and variants (such as at GRK5 and NOS3). Using a three-pronged approach4, we provide genetic evidence for putative drug effects, highlighting F11, KLKB1, PROC, GP1BA, LAMC2 and VCAM1 as possible targets, with drugs already under investigation for stroke for F11 and PROC. A polygenic score integrating cross-ancestry and ancestry-specific stroke GWASs with vascular-risk factor GWASs (integrative polygenic scores) strongly predicted ischaemic stroke in populations of European, East Asian and African ancestry5. Stroke genetic risk scores were predictive of ischaemic stroke independent of clinical risk factors in 52,600 clinical-trial participants with cardiometabolic disease. Our results provide insights to inform biology, reveal potential drug targets and derive genetic risk prediction tools across ancestries.
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Affiliation(s)
- Aniket Mishra
- Bordeaux Population Health Research Center, University of Bordeaux, Inserm, UMR 1219, Bordeaux, France
| | - Rainer Malik
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany
| | - Tsuyoshi Hachiya
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Iwate, Japan
| | - Tuuli Jürgenson
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
- Institute of Mathematics and Statistics, University of Tartu, Tartu, Estonia
| | - Shinichi Namba
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
| | - Daniel C Posner
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA
| | - Frederick K Kamanu
- TIMI Study Group, Boston, MA, USA
- Division of Cardiovascular Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Masaru Koido
- Division of Molecular Pathology, Institute of Medical Sciences, The University of Tokyo, Tokyo, Japan
- Laboratory of Complex Trait Genomics, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan
| | - Quentin Le Grand
- Bordeaux Population Health Research Center, University of Bordeaux, Inserm, UMR 1219, Bordeaux, France
| | - Mingyang Shi
- Laboratory of Complex Trait Genomics, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan
| | - Yunye He
- Laboratory of Complex Trait Genomics, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan
| | - Marios K Georgakis
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Ilana Caro
- Bordeaux Population Health Research Center, University of Bordeaux, Inserm, UMR 1219, Bordeaux, France
| | - Kristi Krebs
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Yi-Ching Liaw
- Laboratory of Clinical Genome Sequencing, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan
- Department of Public Health and Institute of Public Health, Chung Shan Medical University, Taichung, Taiwan
| | - Felix C Vaura
- Department of Internal Medicine, University of Turku, Turku, Finland
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Turku, Finland
| | - Kuang Lin
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Bendik Slagsvold Winsvold
- Department of Research and Innovation, Division of Clinical Neuroscience, Oslo University Hospital, Oslo, Norway
- K. G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
- Department of Neurology, Oslo University Hospital, Oslo, Norway
| | - Vinodh Srinivasasainagendra
- Department of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Livia Parodi
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Hee-Joon Bae
- Department of Neurology and Cerebrovascular Disease Center, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Republic of Korea
| | | | - Michael R Chong
- Thrombosis and Atherosclerosis Research Institute, David Braley Cardiac, Vascular and Stroke Research Institute, Hamilton, Ontario, Canada
- Department of Pathology and Molecular Medicine, Michael G. DeGroote School of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Liisa Tomppo
- Department of Neurology, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Rufus Akinyemi
- Center for Genomic and Precision Medicine, College of Medicine, University of Ibadan, Ibadan, Nigeria
- Neuroscience and Ageing Research Unit Institute for Advanced Medical Research and Training, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Gennady V Roshchupkin
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Naomi Habib
- The Edmond and Lily Safra Center for Brain Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Yon Ho Jee
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Jesper Qvist Thomassen
- Department of Clinical Biochemistry, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark
| | - Vida Abedi
- Department of Molecular and Functional Genomics, Weis Center for Research, Geisinger Health System, Danville, VA, USA
- Department of Public Health Sciences, College of Medicine, The Pennsylvania State University, State College, PA, USA
| | - Jara Cárcel-Márquez
- Stroke Pharmacogenomics and Genetics Laboratory, Biomedical Research Institute Sant Pau (IIB Sant Pau), Barcelona, Spain
- Departament de Medicina, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Marianne Nygaard
- The Danish Twin Registry, Department of Public Health, University of Southern Denmark, Odense, Denmark
- Department of Clinical Genetics, Odense University Hospital, Odense, Denmark
| | - Hampton L Leonard
- Center for Alzheimer's and Related Dementias, National Institutes of Health, Bethesda, MD, USA
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
- Data Tecnica International, Glen Echo, MD, USA
| | - Chaojie Yang
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
- Department of Biochemistry and Molecular Genetics, University of Virginia, Charlottesville, VA, USA
| | - Ekaterina Yonova-Doing
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Department of Genetics, Novo Nordisk Research Centre Oxford, Oxford, UK
| | - Maria J Knol
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Adam J Lewis
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Renae L Judy
- Department of Surgery, University of Pennsylvania, Philadelphia, PA, USA
| | - Tetsuro Ago
- Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Philippe Amouyel
- University of Lille, INSERM U1167, RID-AGE, LabEx DISTALZ, Risk Factors and Molecular Determinants of Aging-Related Diseases, Lille, France
- CHU Lille, Public Health Department, Lille, France
- Institut Pasteur de Lille, Lille, France
| | - Nicole D Armstrong
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Mark K Bakker
- UMC Utrecht Brain Center, Department of Neurology and Neurosurgery, University Medical Center Utrecht, University Utrecht, Utrecht, The Netherlands
| | - Traci M Bartz
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Joshua C Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Constance Bordes
- Bordeaux Population Health Research Center, University of Bordeaux, Inserm, UMR 1219, Bordeaux, France
| | - Sigrid Børte
- K. G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
- Research and Communication Unit for Musculoskeletal Health (FORMI), Department of Research and Innovation, Division of Clinical Neuroscience, Oslo University Hospital, Oslo, Norway
| | - Anael Cain
- The Edmond and Lily Safra Center for Brain Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Paul M Ridker
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Kelly Cho
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA
| | - Zhengming Chen
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
- MRC Population Health Research Unit, University of Oxford, Oxford, UK
| | - Carlos Cruchaga
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, Saint Louis, MO, USA
| | - John W Cole
- VA Maryland Health Care System, Baltimore, MD, USA
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Phil L de Jager
- Program in Medical and Population Genetics, Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge, MA, USA
- Center for Translational and Computational Neuroimmunology, Department of Neurology, Columbia University Medical Center, New York, NY, USA
| | - Rafael de Cid
- GenomesForLife-GCAT Lab Group, Germans Trias i Pujol Research Institute (IGTP), Badalona, Spain
| | - Matthias Endres
- Klinik und Hochschulambulanz für Neurologie, Charité-Universitätsmedizin Berlin, Berlin, Germany
- Center for Stroke Research Berlin, Berlin, Germany
- German Center for Neurodegenerative Diseases (DZNE), partner site Berlin, Berlin, Germany
- German Centre for Cardiovascular Research (DZHK), partner site Berlin, Berlin, Germany
| | - Leslie E Ferreira
- Post-Graduation Program on Health and Environment, Department of Medicine and Joinville Stroke Biobank, University of the Region of Joinville, Santa Catarina, Brazil
| | - Mirjam I Geerlings
- Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Natalie C Gasca
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Vilmundur Gudnason
- Icelandic Heart Association, Kopavogur, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Jun Hata
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Jing He
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Alicia K Heath
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Yuk-Lam Ho
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA
| | - Aki S Havulinna
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
- Institute for Molecular Medicine Finland, FIMM-HiLIFE, Helsinki, Finland
| | - Jemma C Hopewell
- Clinical Trial Service and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Hyacinth I Hyacinth
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Michael Inouye
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Cambridge Baker Systems Genomics Initiative, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Cambridge Baker Systems Genomics Initiative, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, UK
- British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, UK
| | - Mina A Jacob
- Department of Neurology, Donders Center for Medical Neuroscience, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Christina E Jeon
- Los Angeles County Department of Public Health, Los Angeles, CA, USA
| | - Christina Jern
- Institute of Biomedicine, Department of Laboratory Medicine, the Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Clinical Genetics and Genomics, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Masahiro Kamouchi
- Department of Health Care Administration and Management, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Keith L Keene
- Department of Biology, Brody School of Medicine Center for Health Disparities, East Carolina University, Greenville, NC, USA
| | - Takanari Kitazono
- Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Steven J Kittner
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA
- Department of Neurology and Geriatric Research and Education Clinical Center, VA Maryland Health Care System, Baltimore, MD, USA
| | - Takahiro Konuma
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
| | - Amit Kumar
- Rajendra Institute of Medical Sciences, Ranchi, India
| | - Paul Lacaze
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Lenore J Launer
- Intramural Research Program, National Institute on Aging, NIH, Baltimore, MD, USA
| | - Keon-Joo Lee
- Department of Neurology, Korea University Guro Hospital, Seoul, Republic of Korea
| | - Kaido Lepik
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
- Department of Computational Biology, University of Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
- University Center for Primary Care and Public Health, Lausanne, Switzerland
| | - Jiang Li
- Department of Molecular and Functional Genomics, Weis Center for Research, Geisinger Health System, Danville, VA, USA
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Ani Manichaikul
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | - Hugh S Markus
- Stroke Research Group, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Nicholas A Marston
- TIMI Study Group, Boston, MA, USA
- Division of Cardiovascular Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Thomas Meitinger
- Institute of Human Genetics, Technical University of Munich, Munich, Germany
- Institute of Human Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Braxton D Mitchell
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
- Geriatrics Research and Education Clinical Center, Baltimore Veterans Administration Medical Center, Baltimore, MD, USA
| | - Felipe A Montellano
- Institute of Clinical Epidemiology and Biometry, University of Würzburg, Würzburg, Germany
- Department of Neurology, University Hospital Würzburg, Würzburg, Germany
| | - Takayuki Morisaki
- Division of Molecular Pathology, Institute of Medical Sciences, The University of Tokyo, Tokyo, Japan
| | - Thomas H Mosley
- The MIND Center, University of Mississippi Medical Center, Jackson, MS, USA
| | - Mike A Nalls
- Center for Alzheimer's and Related Dementias, National Institutes of Health, Bethesda, MD, USA
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
- Data Tecnica International, Glen Echo, MD, USA
| | - Børge G Nordestgaard
- Department of Clinical Biochemistry, Copenhagen University Hospital-Herlev and Gentofte, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Martin J O'Donnell
- College of Medicine Nursing and Health Science, NUI Galway, Galway, Ireland
| | - Yukinori Okada
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
- Department of Genome Informatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
- Laboratory for Systems Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Laboratory of Statistical Immunology, Immunology Frontier Research Center (WPI-IFReC), Osaka University, Suita, Japan
- Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Suita, Japan
- Center for Infectious Disease Education and Research (CiDER), Osaka University, Suita, Japan
| | - N Charlotte Onland-Moret
- Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Bruce Ovbiagele
- Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München,, German Research Center for Environmental Health, Neuherberg, Germany
- Institute for Medical Information Processing, Biometry and Epidemiology, Ludwig Maximilian University Munich, Munich, Germany
- German Centre for Cardiovascular Research (DZHK), partner site Munich, Munich, Germany
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Department of Health Systems and Population Health, University of Washington, Seattle, WA, USA
| | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | - Jonathan Rosand
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge, MA, USA
- McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, USA
| | - Marc S Sabatine
- TIMI Study Group, Boston, MA, USA
- Division of Cardiovascular Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Ralph L Sacco
- Department of Neurology, University of Miami Miller School of Medicine, Miami, FL, USA
- Evelyn F. McKnight Brain Institute, Gainesville, FL, USA
| | - Danish Saleheen
- Division of Cardiology, Department of Medicine, Columbia University, New York, NY, USA
| | - Else Charlotte Sandset
- Stroke Unit, Department of Neurology, Oslo University Hospital, Oslo, Norway
- Research and Development, The Norwegian Air Ambulance Foundation, Oslo, Norway
| | - Veikko Salomaa
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Muralidharan Sargurupremraj
- Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, TX, USA
| | - Makoto Sasaki
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Iwate, Japan
| | - Claudia L Satizabal
- Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, TX, USA
- Framingham Heart Study, Framingham, MA, USA
| | - Carsten O Schmidt
- University Medicine Greifswald, Institute for Community Medicine, SHIP/KEF, Greifswald, Germany
| | - Atsushi Shimizu
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Iwate, Japan
| | - Nicholas L Smith
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Kaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, WA, USA
- Department of Veterans Affairs Office of Research and Development, Seattle Epidemiologic Research and Information Center, Seattle, WA, USA
| | - Kelly L Sloane
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Yoichi Sutoh
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Iwate, Japan
| | - Yan V Sun
- Atlanta VA Health Care System, Decatur, GA, USA
- Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, USA
| | - Kozo Tanno
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Iwate, Japan
| | - Steffen Tiedt
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany
| | - Turgut Tatlisumak
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Unviersity Hospital, Gothenburg, Sweden
| | - Nuria P Torres-Aguila
- Stroke Pharmacogenomics and Genetics Laboratory, Biomedical Research Institute Sant Pau (IIB Sant Pau), Barcelona, Spain
| | - Hemant K Tiwari
- Department of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA
| | - David-Alexandre Trégouët
- Bordeaux Population Health Research Center, University of Bordeaux, Inserm, UMR 1219, Bordeaux, France
| | - Stella Trompet
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Anil Man Tuladhar
- Department of Neurology, Donders Center for Medical Neuroscience, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Anne Tybjærg-Hansen
- Department of Clinical Biochemistry, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Marion van Vugt
- Division Heart & Lungs, Department of Cardiology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Riina Vibo
- Department of Neurology and Neurosurgery, University of Tartu, Tartu, Estonia
| | - Shefali S Verma
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Kerri L Wiggins
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Patrik Wennberg
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Daniel Woo
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Peter W F Wilson
- Atlanta VA Health Care System, Decatur, GA, USA
- Department of Medicine, Division of Cardiovascular Disease, Emory University School of Medicine, Atlanta, GA, USA
| | - Huichun Xu
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Qiong Yang
- Framingham Heart Study, Framingham, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Kyungheon Yoon
- Division of Genome Science, Department of Precision Medicine, National Institute of Health, Cheongju, Republic of Korea
| | - Iona Y Millwood
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
- MRC Population Health Research Unit, University of Oxford, Oxford, UK
| | - Christian Gieger
- Research Unit Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Toshiharu Ninomiya
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Hans J Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
- German Center for Neurodegenerative Diseases (DZNE), site Rostock/Greifswald, Rostock, Germany
| | - J Wouter Jukema
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
- Netherlands Heart Institute, Utrecht, The Netherlands
- Einthoven Laboratory for Experimental Vascular Medicine, LUMC, Leiden, The Netherlands
| | - Ina L Rissanen
- Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Daniel Strbian
- Department of Neurology, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Young Jin Kim
- Division of Genome Science, Department of Precision Medicine, National Institute of Health, Cheongju, Republic of Korea
| | - Pei-Hsin Chen
- Department of Public Health and Institute of Public Health, Chung Shan Medical University, Taichung, Taiwan
| | - Ernst Mayerhofer
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Joanna M M Howson
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Department of Genetics, Novo Nordisk Research Centre Oxford, Oxford, UK
| | - Marguerite R Irvin
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Hieab Adams
- Department of Clinical Genetics, Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands
- Latin American Brain Health (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile
| | - Sylvia Wassertheil-Smoller
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, New York, NY, USA
| | - Kaare Christensen
- The Danish Twin Registry, Department of Public Health, University of Southern Denmark, Odense, Denmark
- Department of Clinical Genetics, Odense University Hospital, Odense, Denmark
- Department of Clinical Biochemistry and Pharmacology, Odense University Hospital, Odense, Denmark
| | - Mohammad A Ikram
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Tatjana Rundek
- Department of Neurology, University of Miami Miller School of Medicine, Miami, FL, USA
- Evelyn F. McKnight Brain Institute, Gainesville, FL, USA
| | - Bradford B Worrall
- Department of Neurology, University of Virginia, Charlottesville, VA, USA
- Department of Public Health Science, University of Virginia, Charlottesville, VA, USA
| | | | - Moeen Riaz
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Eleanor M Simonsick
- Longitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, Baltimore, MD, USA
| | - Janika Kõrv
- Department of Neurology and Neurosurgery, University of Tartu, Tartu, Estonia
| | - Paulo H C França
- Post-Graduation Program on Health and Environment, Department of Medicine and Joinville Stroke Biobank, University of the Region of Joinville, Santa Catarina, Brazil
| | - Ramin Zand
- Geisinger Neuroscience Institute, Geisinger Health System, Danville, PA, USA
- Department of Neurology, College of Medicine, The Pennsylvania State University, State College, PA, USA
| | | | - Ruth Frikke-Schmidt
- Department of Clinical Biochemistry, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Frank-Erik de Leeuw
- Department of Neurology, Donders Center for Medical Neuroscience, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Thomas Liman
- Center for Stroke Research Berlin, Berlin, Germany
- Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
- Klinik für Neurologie, Carl von Ossietzky University of Oldenburg, Oldenburg, Germany
| | | | - Ynte M Ruigrok
- UMC Utrecht Brain Center, Department of Neurology and Neurosurgery, University Medical Center Utrecht, University Utrecht, Utrecht, The Netherlands
| | - Peter Ulrich Heuschmann
- Institute of Clinical Epidemiology and Biometry, University of Würzburg, Würzburg, Germany
- Comprehensive Heart Failure Center, University Hospital Würzburg, Würzburg, Germany
- Clinical Trial Center, University Hospital Würzburg, Würzburg, Germany
| | - W T Longstreth
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Department of Neurology, University of Washington, Seattle, WA, USA
| | - Keum Ji Jung
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Institute for Health Promotion, Graduate School of Public Health, Yonsei University, Seoul, Republic of Korea
| | - Lisa Bastarache
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Guillaume Paré
- Thrombosis and Atherosclerosis Research Institute, David Braley Cardiac, Vascular and Stroke Research Institute, Hamilton, Ontario, Canada
- Department of Pathology and Molecular Medicine, Michael G. DeGroote School of Medicine, McMaster University, Hamilton, Ontario, Canada
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada
- Population Health Research Institute, David Braley Cardiac, Vascular and Stroke Research Institute, Hamilton, Ontario, Canada
| | - Scott M Damrauer
- Department of Surgery and Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA
- Corporal Michael Crescenz VA Medical Center, Philadelphia, PA, USA
| | - Daniel I Chasman
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Jerome I Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Christopher D Anderson
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge, MA, USA
- McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Brigham and Women's Hospital, Boston, MA, USA
| | - John-Anker Zwart
- Department of Research and Innovation, Division of Clinical Neuroscience, Oslo University Hospital, Oslo, Norway
- K. G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Teemu J Niiranen
- Department of Internal Medicine, University of Turku, Turku, Finland
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Turku, Finland
- Division of Medicine, Turku University Hospital, Turku, Finland
| | - Myriam Fornage
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
- Human Genetics Center, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Yung-Po Liaw
- Department of Public Health and Institute of Public Health, Chung Shan Medical University, Taichung, Taiwan
- Department of Medical Imaging, Chung Shan Medical University Hospital, Taichung, Taiwan
| | - Sudha Seshadri
- Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, TX, USA
- Framingham Heart Study, Framingham, MA, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
| | - Israel Fernández-Cadenas
- Stroke Pharmacogenomics and Genetics Laboratory, Biomedical Research Institute Sant Pau (IIB Sant Pau), Barcelona, Spain
| | - Robin G Walters
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
- MRC Population Health Research Unit, University of Oxford, Oxford, UK
| | - Christian T Ruff
- TIMI Study Group, Boston, MA, USA
- Division of Cardiovascular Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Mayowa O Owolabi
- Center for Genomic and Precision Medicine, College of Medicine, University of Ibadan, Ibadan, Nigeria
- Department of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Jennifer E Huffman
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA
| | - Lili Milani
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Yoichiro Kamatani
- Laboratory of Complex Trait Genomics, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan
| | - Martin Dichgans
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany.
- Munich Cluster for Systems Neurology, Munich, Germany.
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany.
| | - Stephanie Debette
- Bordeaux Population Health Research Center, University of Bordeaux, Inserm, UMR 1219, Bordeaux, France.
- Department of Neurology, Institute for Neurodegenerative Diseases, CHU de Bordeaux, Bordeaux, France.
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24
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Matsuyama T, Narita A, Takanashi M, Kogure M, Sato S, Nakamura T, Nakane H, Ogishima S, Nagami F, Nakaya N, Tanno K, Imaeda T, Hozawa A. Visualization of estimated prevalence of CES-D positivity accounting for background factors and AIS scores. Sci Rep 2022; 12:17656. [PMID: 36271231 PMCID: PMC9586984 DOI: 10.1038/s41598-022-22266-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Accepted: 10/12/2022] [Indexed: 01/18/2023] Open
Abstract
Development of methods for population screening is necessary to improve the efficiency of secondary prevention of diseases. Until now, a common cutoff has been used for all people in the data set. However, if big data for health information can be used to modify individual cutoffs according to background factors, it may avoid wasting medical resources. Here we show that the estimated prevalence of the Center for Epidemiologic Studies Depression Scale positivity can be visualized by a heatmap using background factors from epidemiological big data and scores from the Athens Insomnia Scale. We also show that cutoffs based on the estimated prevalence can be used to decrease the number of people screened without decreasing the number of prevalent cases detected. Since this method can be applied to the screening of different outcomes, we believe our work can contribute to the development of efficient screening methods for various diseases.
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Affiliation(s)
- Takashi Matsuyama
- grid.450319.a0000 0004 0379 2779Toyota Central Research and Development Laboratories Inc., Nagakute, 480-1192 Japan
| | - Akira Narita
- grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, Sendai, 980-8573 Japan
| | - Masaki Takanashi
- grid.450319.a0000 0004 0379 2779Toyota Central Research and Development Laboratories Inc., Nagakute, 480-1192 Japan
| | - Mana Kogure
- grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, Sendai, 980-8573 Japan
| | - Shuichi Sato
- grid.450319.a0000 0004 0379 2779Toyota Central Research and Development Laboratories Inc., Nagakute, 480-1192 Japan
| | - Tomohiro Nakamura
- grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, Sendai, 980-8573 Japan
| | - Hideo Nakane
- grid.450319.a0000 0004 0379 2779Toyota Central Research and Development Laboratories Inc., Nagakute, 480-1192 Japan
| | - Soichi Ogishima
- grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, Sendai, 980-8573 Japan
| | - Fuji Nagami
- grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, Sendai, 980-8573 Japan
| | - Naoki Nakaya
- grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, Sendai, 980-8573 Japan
| | - Kozo Tanno
- grid.411790.a0000 0000 9613 6383Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Yahaba-Cho, Iwate, 028-3694 Japan
| | - Takao Imaeda
- grid.450319.a0000 0004 0379 2779Toyota Central Research and Development Laboratories Inc., Nagakute, 480-1192 Japan
| | - Atsushi Hozawa
- grid.69566.3a0000 0001 2248 6943Tohoku Medical Megabank Organization, Tohoku University, Sendai, 980-8573 Japan
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25
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Kikuchi M, Aizawa N, Furuya T, Tanno K. The efficacy of general anesthesia during pulmonary vein isolation compared with conscious sedation. Eur Heart J 2022. [DOI: 10.1093/eurheartj/ehac544.454] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Background
Catheter ablation (RFA) is significantly more effective in terms of arrhythmia recurrence rate than antiarrhythmic medication. For the duration of the procedure, the patient needs to remain motionless on the operation table. General anesthesia (GA) is widely used during atrial fibrillation (AF) ablation in all over the world, however RFA of AF is performed under conscious sedation (CS) in the most centers in Japan.
It remains controversial whether cardiac anesthesiologists are best suited to manage anesthesia in the electrophysiology lab.
Objective
The aim of this study was to report the efficacy and safety of GA during AF ablation.
Methods
297 patients (67.3±11.7 years, 208 men, 128 paroxysmal, mean follow up 443 days±306) with AF undergoing RFA in our department from January 2018 to December 2021 were retrospectively analyzed. 113 assigned to the GA group, 184 patients to the CS group.
The primary efficacy end point was radiofrequency time, ablation index, force time integral. The secondary end points defined AF recurrence and the complications.
Result
There was no difference in the baseline characteristics between the two groups. There was no difference between groups in AF recurrence (22.1% vs. 14.1%, P=0.103) and complications.However, Patients in GA had shorter radiofrequency times (66.9±3.7 minute vs 79.0±2.9 minutes P=0.01)Ablation index (376±18.6 vs 371±22.6 P<0.05), Force time integral (136±22.3 vs 111.4±45.3).
Conclusion
General anesthesia is superior to conscious sedation with shorter radiofrequency times and higher than Force time integral, ablation index. Moreover, it is not inferior in regard to arrhythmia recurrence or complication rates of catheter ablation of atrial fibrillation.
Funding Acknowledgement
Type of funding sources: None.
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Affiliation(s)
- M Kikuchi
- Showa University Koto-Toyosu Hospital , Tokyo , Japan
| | - N Aizawa
- Showa University Koto-Toyosu Hospital , Tokyo , Japan
| | - T Furuya
- Showa University Koto-Toyosu Hospital , Tokyo , Japan
| | - K Tanno
- Showa University Koto-Toyosu Hospital , Tokyo , Japan
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26
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Kobayashi T, Nasu T, Satoh M, Kotozaki Y, Tanno K, Asahi K, Ohmomo H, Shimizu A, Omama S, Kikuchi H, Taguchi S, Morino Y, Sobue K, Sasaki M. Association between high-sensitivity cardiac troponin T levels and incident stroke in the elderly Japanese population: Results from the Tohoku Medical Megabank Community-based Cohort Study. Am Heart J Plus 2022; 22:100212. [PMID: 38558906 PMCID: PMC10978419 DOI: 10.1016/j.ahjo.2022.100212] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 09/20/2022] [Accepted: 09/24/2022] [Indexed: 04/04/2024]
Abstract
Elevated levels of circulating high-sensitivity cardiac troponin T (hs-cTnT) are associated with cardiovascular disease. This study aimed to examine whether hs-cTnT levels are associated with incident stroke in the elderly population. The Iwate Tohoku Medical Megabank Organization pooled participant data for a community-based cohort study (n = 15,063, 69.6 ± 3.4 years), with a mean follow-up period of 5.23 years for all-cause death and incident stroke. The follow-up revealed 316 incident strokes, including atherothrombotic (n = 98), cardioembolic (n = 54), lacunar (n = 63), hemorrhagic (n = 101), and 178 all-cause deaths. Participants were classified into quartiles according to hs-cTnT levels (Q1 ≦ 4 ng/L, Q2: 5-6 ng/L, Q3: 7-9 ng/L, and Q4 > 9 ng/L). After adjusting for sex, age, smoking, drinking, systolic blood pressure, estimated glomerular filtration rate, N-terminal pro-brain natriuretic peptide, hemoglobin A1c, and lipid profile, a Cox proportional hazard model showed that higher hs-cTnT levels were associated with ischemic stroke (Q1 vs. Q4, hazard ratio [HR] = 2.24, 95 % confidence interval [CI] = 1.12-4.51, p = 0.023). The incident of total stroke was not associated with hs-cTnT levels (Q1 vs. Q4, HR 1.39, 95 % CI = 0.89-1.74, p = 0.145). Numerical differences were highest regarding incident lacunar stroke subtypes; however, this association was not statistically significant. Higher hs-cTnT concentrations were associated with ischemic stroke in the elderly Japanese population.
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Affiliation(s)
- Takamasa Kobayashi
- Division of Cardiology, Department of Internal Medicine, Iwate Medical University, Japan
| | - Takahito Nasu
- Division of Cardiology, Department of Internal Medicine, Iwate Medical University, Japan
- Department of Biomedical Information Analysis, Institute for Biomedical Sciences, Iwate Medical University, Japan
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Japan
| | - Mamoru Satoh
- Department of Biomedical Information Analysis, Institute for Biomedical Sciences, Iwate Medical University, Japan
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Japan
| | - Yuka Kotozaki
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Japan
| | - Kozo Tanno
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Japan
- Department of Hygiene and Preventive Medicine, Iwate Medical University, Japan
| | - Koichi Asahi
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Japan
- Division of Nephrology and Hypertension, Department of Internal Medicine, Iwate Medical University, Japan
| | - Hideki Ohmomo
- Department of Biomedical Information Analysis, Institute for Biomedical Sciences, Iwate Medical University, Japan
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Japan
| | - Atsushi Shimizu
- Department of Biomedical Information Analysis, Institute for Biomedical Sciences, Iwate Medical University, Japan
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Japan
| | - Shinichi Omama
- Division of General Medicine, Department of Critical Care, Disaster, and General Medicine, Iwate Medical University, Japan
| | - Hiroto Kikuchi
- Division of Cardiology, Department of Internal Medicine, Iwate Medical University, Japan
- Department of Biomedical Information Analysis, Institute for Biomedical Sciences, Iwate Medical University, Japan
| | - Satoru Taguchi
- Division of Cardiology, Department of Internal Medicine, Iwate Medical University, Japan
- Department of Biomedical Information Analysis, Institute for Biomedical Sciences, Iwate Medical University, Japan
| | - Yoshihiro Morino
- Department of Biomedical Information Analysis, Institute for Biomedical Sciences, Iwate Medical University, Japan
| | - Kenji Sobue
- Department of Neuroscience, Institute for Biomedical Sciences, Iwate Medical University, Japan
| | - Makoto Sasaki
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Japan
- Division of Ultrahigh field MRI, Institute for Biomedical Sciences, Iwate Medical University, Japan
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27
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Maeda T, Nishi T, Harada M, Tanno K, Nishiya N, Asayama K, Okuda N, Sugiyama D, Yatsuya H, Okayama A, Arima H. Influence of the COVID-19 pandemic on regular clinic visits and medication prescriptions among people with diabetes: Retrospective cohort analysis of health care claims. Medicine (Baltimore) 2022; 101:e29458. [PMID: 35866768 PMCID: PMC9302258 DOI: 10.1097/md.0000000000029458] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/04/2023] Open
Abstract
The aim of this study was to investigate the effect of the COVID-19 pandemic on regular clinic visits among people with diabetes and to elucidate the factors related to visit patterns among these patients during the pandemic. This was a longitudinal study using anonymized insurance claims data from the Joint Health Insurance Society in Tokyo from October 2017 to September 2020. First, we identified patients with diabetes who were fully enrolled in the health plan from fiscal year 2017 until September 2020 and who were regularly receiving glucose-lowering medications (every 1-3 months) from October 2017 to September 2018. We divided follow-up into the pre-pandemic period (October 2018 to March 2020) and the pandemic period (April 2020 to September 2020). A multilevel logistic regression model was used to determine the risks of delayed clinic visits/medication prescriptions (i.e., >3 months after a previous visit/prescription) during the pandemic period. We identified 1118 study participants. The number of delayed clinic visits/medication prescriptions during the pre-pandemic and pandemic periods was 188/3354 (5.6%) and 125/1118 (11.2%), respectively. There was a significant increase in delayed clinic visits during the pandemic (adjusted odds ratio 3.68 (95% confidence interval 2.24 to 6.04, P < .001), even after controlling for confounding factors. We also found a significant interaction between sex and delayed visits; women had significantly fewer clinic visits during the COVID-19 pandemic than men. We clarified the relationship of the COVID-19 pandemic with delays in regular clinic visits and medication prescriptions among people with diabetes. The response to the COVID-19 pandemic differed between men and women.
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Affiliation(s)
- Toshiki Maeda
- Department of Preventive Medicine and Public Health, Faculty of Medicine, Fukuoka University, Fukuoka, Japan
- *Correspondence: Toshiki Maeda, Department of Preventive Medicine and Public Health, Faculty of Medicine, Fukuoka University, 8-19-1 Nanakuma, Jonan-ku, Fukuoka 814-0180, Japan (e-mail: )
| | - Takumi Nishi
- Department of Preventive Medicine and Public Health, Faculty of Medicine, Fukuoka University, Fukuoka, Japan
- Department of Research Planning and Information Management, Fukuoka Institute of Health and Environmental Sciences, Fukuoka, Japan
| | - Masataka Harada
- Department of Industrial Economics, Faculty of Economics, Fukuoka University, Fukuoka, Japan
| | - Kozo Tanno
- Department of Hygiene and Preventive Medicine, Iwate Medical University, Morioka, Iwate, Japan
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Morioka Iwate, Japan
| | - Naoyuki Nishiya
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Morioka Iwate, Japan
- Division of Integrated Information for Pharmaceutical Sciences, Department of Clinical Pharmacy, Iwate Medical University School of Pharmacy, Iwate, Japan
| | - Kei Asayama
- Department of Hygiene and Public Health, Teikyo University School of Medicine, Tokyo, Japan
- KU Leuven Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium
- Tohoku Institute for Management of Blood Pressure, Sendai, Japan
| | - Nagako Okuda
- Department of Health Science, Kyoto Prefectural University, Kyoto, Japan
| | - Daisuke Sugiyama
- Faculty of Nursing And Medical Care, Keio University, Tokyo, Japan
| | - Hiroshi Yatsuya
- Department of Public Health and Health Systems, Graduate School of Medicine, Nagoya University, Aichi, Japan
| | - Akira Okayama
- Research Institute of Strategy for Prevention, Tokyo, Japan
| | - Hisatomi Arima
- Department of Preventive Medicine and Public Health, Faculty of Medicine, Fukuoka University, Fukuoka, Japan
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28
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Komaki S, Ohmomo H, Hachiya T, Sutoh Y, Ono K, Furukawa R, Umekage S, Otsuka-Yamasaki Y, Minabe S, Takashima A, Tanno K, Sasaki M, Shimizu A. Evaluation of short-term epigenetic age fluctuation. Clin Epigenetics 2022; 14:76. [PMID: 35681206 PMCID: PMC9185970 DOI: 10.1186/s13148-022-01293-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Accepted: 05/15/2022] [Indexed: 11/10/2022] Open
Abstract
Considerable effort has been spent on lowering and maintaining the epigenetic age. However, the extent to which epigenetic age fluctuates under normal conditions is poorly understood. Therefore, we analyzed methylation data from monocytes and peripheral blood mononuclear cells collected from two Japanese men. The ranges of the Pan-tissue, Skin and blood, and DNAm PhenoAge epigenetic age during 3 months were ≥ 5.62, ≥ 3.04, and ≥ 8.23 years, and the maximum daily changes were 5.21, 3.20, and 6.53 years, respectively. These fluctuations were not suppressed by correcting for cell-type composition. Although the underlying biological mechanism remains unclear, there was a nonnegligible degree of age fluctuation which should inform personalized clinical applications.
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Affiliation(s)
- Shohei Komaki
- Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, 1-1-1, Idaidori, Yahaba, Iwate, 028-3694, Japan
| | - Hideki Ohmomo
- Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, 1-1-1, Idaidori, Yahaba, Iwate, 028-3694, Japan.,Division of Biomedical Information Analysis, Institute for Biomedical Sciences, Iwate Medical University, 1-1-1 Idaidori, Yahaba, Shiwa, Iwate, 028-3694, Japan
| | - Tsuyoshi Hachiya
- Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, 1-1-1, Idaidori, Yahaba, Iwate, 028-3694, Japan
| | - Yoichi Sutoh
- Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, 1-1-1, Idaidori, Yahaba, Iwate, 028-3694, Japan
| | - Kanako Ono
- Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, 1-1-1, Idaidori, Yahaba, Iwate, 028-3694, Japan
| | - Ryohei Furukawa
- Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, 1-1-1, Idaidori, Yahaba, Iwate, 028-3694, Japan.,Department of Biology, Research and Education Center for Natural Sciences, Keio University, 4-1-1 Hiyoshi, Kohoku-ku, Yokohama, Kanagawa, 223-8521, Japan
| | - So Umekage
- Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, 1-1-1, Idaidori, Yahaba, Iwate, 028-3694, Japan
| | - Yayoi Otsuka-Yamasaki
- Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, 1-1-1, Idaidori, Yahaba, Iwate, 028-3694, Japan
| | - Shiori Minabe
- Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, 1-1-1, Idaidori, Yahaba, Iwate, 028-3694, Japan
| | - Akira Takashima
- Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, 1-1-1, Idaidori, Yahaba, Iwate, 028-3694, Japan
| | - Kozo Tanno
- Division of Clinical Research and Epidemiology, Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Iwate, Japan.,Department of Hygiene and Preventive Medicine, Iwate Medical University, 1-1-1 Idaidori, Yahaba, Shiwa, Iwate, 028-3694, Japan
| | - Makoto Sasaki
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Iwate, Japan.,Division of Ultrahigh Field MRI, Institute for Biomedical Sciences, Iwate Medical University, 1-1-1 Idaidori, Yahaba, Shiwa, Iwate, 028-3694, Japan
| | - Atsushi Shimizu
- Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, 1-1-1, Idaidori, Yahaba, Iwate, 028-3694, Japan. .,Division of Biomedical Information Analysis, Institute for Biomedical Sciences, Iwate Medical University, 1-1-1 Idaidori, Yahaba, Shiwa, Iwate, 028-3694, Japan.
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Omama S, Tanno K, Inoue Y, Ogasawara K, Fukuda T, Oikawa Y, Onoda T, Ohsawa M, Sakata K. The Potential of a Stroke Registry Using Diagnosis Procedure Combination Data from All Hospitals in a Japanese Prefecture. Cerebrovasc Dis 2022; 51:447-452. [PMID: 35081532 DOI: 10.1159/000520668] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2021] [Accepted: 10/08/2021] [Indexed: 11/19/2022] Open
Abstract
OBJECTIVES In Japan, many hospitals have joined the diagnosis procedure combination/per-diem payment system (DPC/PDPS), which provides unified information about inpatients. DPC data are digitized, and the number of participating hospitals has increased recently. Herein, we evaluated the potential of a stroke registry constructed using these unified DPC data from all hospitals in the Iwate Prefecture, Japan. METHODS The proportion of cerebrovascular disease (CVD) cases registered by DPC-participating hospitals was calculated and compared with all registered cases in the Iwate Stroke Registry in 2008-2017. The cases were categorized based on sex, age-groups, stroke subtypes, and first-ever onset or recurrence onset. Based on the registered cases in the stroke registry, the accuracy of the CVD cases extracted by the disease name from DPC data of a typical core hospital and a typical noncore hospital was evaluated. RESULTS Of the 71 hospitals with 9,992 beds in the Iwate Prefecture in 2018, 50 hospitals with 8,316 beds participated in the DPC system. The proportion of registered cases from participating hospitals was 95.2% (44,779/47,018) for all stroke types (95.6% men and 94.9% women), 94.3% for cerebral infarction, 97.0% for intracerebral hemorrhage, and 98.7% for subarachnoid hemorrhage, whereas it was 95.7% for first-ever onset and 94.1% for recurrent onset. The proportion of registered cases decreased with increasing patient age. Attending doctors and researchers registered 486 and 41 CVD cases from the core and noncore hospitals, respectively, whereas 455 and 46 CVD cases were extracted from the DPC data of these hospitals, respectively. This yielded 86.6% sensitivity, 99.3% specificity, 92.5% positive predictive value, and 98.7% negative predictive value for the core hospital; these values were 92.7%, 98.6%, 82.6%, and 99.5%, respectively, for the noncore hospital. DISCUSSION/CONCLUSIONS The stroke registry constructed using DPC data from all hospitals of Iwate Prefecture appears to be adequately complete and accurate.
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Affiliation(s)
- Shinichi Omama
- Iwate Prefectural Advanced Critical Care and Emergency Center, Iwate Medical University, Yahaba, Japan
| | - Kozo Tanno
- Department of Hygiene and Preventive Medicine, Iwate Medical University, Yahaba, Japan
| | - Yoshihiro Inoue
- Iwate Prefectural Advanced Critical Care and Emergency Center, Iwate Medical University, Yahaba, Japan
| | | | - Takeshi Fukuda
- Department of Neurosurgery, Iwate Prefectural Ninohe Hospital, Ninohe, Japan
| | - Yuetsu Oikawa
- Department of Internal Medicine, Magokoro Hospital, Oshu, Japan
| | | | - Masaki Ohsawa
- Department of Internal Medicine, Morioka Tsunagi Onsen Hospital, Morioka, Japan
| | - Kiyomi Sakata
- Department of Hygiene and Preventive Medicine, Iwate Medical University, Yahaba, Japan
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Fujimaki D, Tanno K, Kuno J, Shimoda H, Takusari E, Sakata K, Kobayashi S, Ogawa A. Psychological distress in children and adolescent disaster survivors. Pediatr Int 2022; 64:e15325. [PMID: 36310039 DOI: 10.1111/ped.15325] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Revised: 07/07/2022] [Accepted: 08/03/2022] [Indexed: 01/06/2023]
Abstract
BACKGROUND This study aimed to clarify the association between mental and behavioral changes and subsequent psychological distress among children and adolescents living in areas affected by the 2011 Great East Japan Earthquake. METHODS We conducted a two-wave study, with waves 1 and 2 occurring in 2011 and 2014, respectively. Data of 462 respondents aged 9-14 years during wave 1 and who participated in both surveys were used in the present analysis. A factor analysis was performed using the mental and behavioral changes reported by respondents in wave 1. Psychological distress was defined as a score of ≥5 on the six-item Kessler Psychological Distress Scale, as measured in wave 2. With the factors generated in this analysis set as independent variables, the odds ratios (OR) (95% confidence intervals, 95% CIs) for psychological distress were calculated using logistic regression, adjusting for age, sex, house damage, living environment, and loss of family or friends. RESULTS Psychological distress was present in 108 (23.4%) of the respondents. The factor analysis yielded three factors describing mental and behavioral changes: interpersonal issues, brain fog, and anxiety and panic. Of these, interpersonal issues were significantly associated with subsequent psychological distress, with an OR of 2.59 (95% CI 1.58-4.25). This association did not change even when stratified by age and sex. CONCLUSIONS This study suggests that interpersonal issues are a significant predictor of psychological distress in children and adolescents living in areas affected by a large-scale disaster.
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Affiliation(s)
- Daisuke Fujimaki
- Department of Hygiene and Preventive Medicine, Iwate Medical University School of Medicine, Yahaba-cho, Iwate, Japan
| | - Kozo Tanno
- Department of Hygiene and Preventive Medicine, Iwate Medical University School of Medicine, Yahaba-cho, Iwate, Japan
| | - Junji Kuno
- Department of Hygiene and Preventive Medicine, Iwate Medical University School of Medicine, Yahaba-cho, Iwate, Japan
| | - Haruki Shimoda
- Department of Hygiene and Preventive Medicine, Iwate Medical University School of Medicine, Yahaba-cho, Iwate, Japan
| | - Eri Takusari
- Department of Hygiene and Preventive Medicine, Iwate Medical University School of Medicine, Yahaba-cho, Iwate, Japan
| | - Kiyomi Sakata
- Department of Hygiene and Preventive Medicine, Iwate Medical University School of Medicine, Yahaba-cho, Iwate, Japan
| | | | - Akira Ogawa
- Iwate Medical University, Yahaba-cho, Iwate, Japan
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31
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Komaki S, Ohmomo H, Hachiya T, Sutoh Y, Ono K, Furukawa R, Umekage S, Otsuka-Yamasaki Y, Tanno K, Sasaki M, Shimizu A. Longitudinal DNA methylation dynamics as a practical indicator in clinical epigenetics. Clin Epigenetics 2021; 13:219. [PMID: 34903243 PMCID: PMC8670275 DOI: 10.1186/s13148-021-01202-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Accepted: 11/24/2021] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND One of the fundamental assumptions of DNA methylation in clinical epigenetics is that DNA methylation status can change over time with or without interplay with environmental and clinical conditions. However, little is known about how DNA methylation status changes over time under ordinary environmental and clinical conditions. In this study, we revisited the high frequency longitudinal DNA methylation data of two Japanese males (24 time-points within three months) and characterized the longitudinal dynamics. RESULTS The results showed that the majority of CpGs on Illumina HumanMethylation450 BeadChip probe set were longitudinally stable over the time period of three months. Focusing on dynamic and stable CpGs extracted from datasets, dynamic CpGs were more likely to be reported as epigenome-wide association study (EWAS) markers of various traits, especially those of immune- and inflammatory-related traits; meanwhile, the stable CpGs were enriched in metabolism-related genes and were less likely to be EWAS markers, indicating that the stable CpGs are stable both in the short-term within individuals and under various environmental and clinical conditions. CONCLUSIONS This study indicates that CpGs with different stabilities are involved in different functions and traits, and thus, they are potential indicators that can be applied for clinical epigenetic studies to outline underlying mechanisms.
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Affiliation(s)
- Shohei Komaki
- Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, 1-1-1, Idaidori, Yahaba, Iwate, 028-3694, Japan
| | - Hideki Ohmomo
- Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, 1-1-1, Idaidori, Yahaba, Iwate, 028-3694, Japan
| | - Tsuyoshi Hachiya
- Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, 1-1-1, Idaidori, Yahaba, Iwate, 028-3694, Japan
| | - Yoichi Sutoh
- Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, 1-1-1, Idaidori, Yahaba, Iwate, 028-3694, Japan
| | - Kanako Ono
- Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, 1-1-1, Idaidori, Yahaba, Iwate, 028-3694, Japan
| | - Ryohei Furukawa
- Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, 1-1-1, Idaidori, Yahaba, Iwate, 028-3694, Japan.,Department of Biology, Research and Education Center for Natural Sciences, Keio University, 4-1-1 Hiyoshi, Kohoku-ku, Yokohama, Kanagawa, 223-8521, Japan
| | - So Umekage
- Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, 1-1-1, Idaidori, Yahaba, Iwate, 028-3694, Japan
| | - Yayoi Otsuka-Yamasaki
- Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, 1-1-1, Idaidori, Yahaba, Iwate, 028-3694, Japan
| | - Kozo Tanno
- Division of Clinical Research and Epidemiology, Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Iwate, Japan.,Department of Hygiene and Preventive Medicine, Iwate Medical University, 1-1-1 Idaidori, Yahaba, Shiwa, Iwate, 028-3694, Japan
| | - Makoto Sasaki
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Iwate, Japan.,Division of Ultrahigh Field MRI, Institute for Biomedical Sciences, Iwate Medical University, 1-1-1 Idaidori, Yahaba, Shiwa, Iwate, 028-3694, Japan
| | - Atsushi Shimizu
- Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, 1-1-1, Idaidori, Yahaba, Iwate, 028-3694, Japan. .,Division of Biomedical Information Analysis, Institute for Biomedical Sciences, Iwate Medical University, 1-1-1 Idaidori, Yahaba, Shiwa, Iwate, 028-3694, Japan.
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Goto A, Suzuki S, Katagiri R, Yamaji T, Sawada N, Nakatochi M, Wakai K, Hozawa A, Kinoshita K, Tanno K, Shimizu A, Ito H, Matsuo K, Iwasaki M. Public access to summary statistics for genome-wide association studies of body mass index, weight, and height among healthy Japanese individuals: the Japanese Consortium of Genetic Epidemiology studies. J Epidemiol 2021; 32:115-116. [PMID: 34897183 PMCID: PMC8761561 DOI: 10.2188/jea.je20210459] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2022] Open
Affiliation(s)
- Atsushi Goto
- Division of Epidemiology, National Cancer Center Institute for Cancer Control.,Department of Health Data Science, Graduate School of Data Science, Yokohama City University
| | - Shiori Suzuki
- Division of Epidemiology, National Cancer Center Institute for Cancer Control
| | - Ryoko Katagiri
- Division of Epidemiology, National Cancer Center Institute for Cancer Control
| | - Taiki Yamaji
- Division of Epidemiology, National Cancer Center Institute for Cancer Control
| | - Norie Sawada
- Division of Cohort Research, National Cancer Center Institute for Cancer Control
| | - Masahiro Nakatochi
- Public Health Informatics Unit, Department of Integrated Health Sciences, Nagoya University Graduate School of Medicine
| | - Kenji Wakai
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine
| | - Atsushi Hozawa
- Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University
| | - Kengo Kinoshita
- Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University
| | - Kozo Tanno
- Division of Clinical Research and Epidemiology, Iwate Tohoku Medical Megabank Organization, Iwate Medical University
| | - Atsushi Shimizu
- Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Iwate Medical University
| | - Hidemi Ito
- Division of Cancer Information and Control, Aichi Cancer Center Research Institute.,Division of Descriptive Cancer Epidemiology, Nagoya University Graduate School of Medicine
| | - Keitaro Matsuo
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute.,Division of Cancer Epidemiology, Nagoya University Graduate School of Medicine
| | - Motoki Iwasaki
- Division of Epidemiology, National Cancer Center Institute for Cancer Control.,Division of Cohort Research, National Cancer Center Institute for Cancer Control
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Nishimoto Y, Tsubono Y, Kogure M, Nakamura T, Itabashi F, Tsuchiya N, Nakaya N, Tanno K, Sugawara J, Kuriyama S, Kure S, Tsuji I, Hozawa A. The prevalence of current smokers and alcohol drinkers among cancer survivors and subjects with no history of cancer among participants in a community-based cardiometabolic screening program in Miyagi prefecture, Japan: a comparison with nationally representative surveys in other countries. Cancer Med 2021; 10:9000-9011. [PMID: 34850586 PMCID: PMC8683559 DOI: 10.1002/cam4.4364] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Revised: 10/07/2021] [Accepted: 10/08/2021] [Indexed: 11/13/2022] Open
Abstract
Background We determined the prevalence of current cigarette smokers and alcohol drinkers among cancer survivors and subjects with no history of cancer in Japan and compared the findings with nationally representative studies in other countries. Methods We conducted a cross‐sectional study of baseline data from a prospective cohort study. A self‐administered questionnaire was surveyed during 2013–2015 with residents aged ≥20 years attending a community‐based cardiometabolic screening program in Miyagi prefecture in north‐eastern Japan. Subjects with past cancer histories were classified as cancer survivors. Sex‐specific, age‐standardized prevalence of current smokers, and drinkers were calculated. Age‐adjusted prevalence ratios (PRs: the cancer survivors’ rate divided by the rate of subjects with no history of cancer) and 95% confidence intervals (CIs) were estimated with log‐binomial regressions. Results 36,786 subjects, including 2760 cancer survivors, responded and provided usable information (58.9% of recruited subjects). For men, the age‐standardized prevalence of current smokers and drinkers among survivors was 18.8% and 74.4%, respectively, with an age‐adjusted PR (95%CI) of 0.76 (0.66–0.86, p < 0.001) and 0.95 (0.91–0.98, p = 0.002), respectively. For women, the figures were 6.1%, 37.9%, 0.84 (0.67–1.06, p = 0.138) and 0.96 (0.90–1.03, p = 0.313), respectively. The U.S., the U.K, and Australian studies generally showed no substantially lower prevalence of current smokers or drinkers in survivors than in subjects with no history of cancer (PR ≥ 0.75), while Korean studies did (PR < 0.75). Conclusions A considerable proportion of Japanese cancer survivors, especially men, remained currently smoking and drinking. Consistent with Western studies, the rates were not substantially lower than those among subjects with no history of cancer.
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Affiliation(s)
- Yuka Nishimoto
- Division of Personalized Prevention and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Yoshitaka Tsubono
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Mana Kogure
- Division of Personalized Prevention and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Tomohiro Nakamura
- Division of Personalized Prevention and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Fumi Itabashi
- Division of Personalized Prevention and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Naho Tsuchiya
- Division of Personalized Prevention and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Naoki Nakaya
- Division of Personalized Prevention and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Kozo Tanno
- Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, Yahaba, Japan.,School of Medicine, Iwate Medical University, Morioka, Japan
| | - Junichi Sugawara
- Division of Personalized Prevention and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.,Department of Pharmaceutical Sciences, Tohoku University Hospital, Sendai, Japan
| | - Shinichi Kuriyama
- Department of Molecular Epidemiology, Graduate School of Medicine, Tohoku University, Sendai, Japan.,Department of Disaster Public Health, International Research Institute of Disaster Science, Tohoku University, Sendai, Japan
| | - Shigeo Kure
- Division of Personalized Prevention and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.,Department of Pediatrics, Tohoku University School of Medicine, Sendai, Japan
| | - Ichiro Tsuji
- Division of Epidemiology, Department of Health Informatics & Public Health, School of Public Health, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Atsushi Hozawa
- Division of Personalized Prevention and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
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Harada M, Nishi T, Maeda T, Tanno K, Nishiya N, Arima H. How do patients with chronic illnesses respond to a public health crisis? Evidence from diabetic patients in Japan during the COVID-19 pandemic. SSM Popul Health 2021; 16:100961. [PMID: 34841037 PMCID: PMC8604157 DOI: 10.1016/j.ssmph.2021.100961] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Revised: 11/06/2021] [Accepted: 11/07/2021] [Indexed: 01/27/2023] Open
Abstract
How do people change their healthcare behavior when a public health crisis occurs? Within a year of its emergence, coronavirus disease 2019 (COVID-19) has gradually infiltrated our lives and altered our lifestyles, including our healthcare behaviors. In Japan, which faces China across the East China Sea and accepted 924,800 Chinese tourists in January 2020, the emergence and spread of COVID-19 provides a unique opportunity to study people's reactions and adaptations to a pandemic. Patients with chronic illnesses who require regular doctor visits are particularly affected by such crises. We focused on diabetic patients whose delay in routine healthcare invites life-threatening complications and examined how their patterns of doctor visits changed and how demographic, socioeconomic, and vital factors disparately affected this process. We relied on the insurance claims data of a health insurance association in Tokyo. By using panel data of diabetic patients from April 2018 to September 2020, we performed visual investigations and conditional logistic regressions controlling for all time-invariant individual characteristics. Contrary to the general notion that the change in healthcare behavior correlates with the actual spread of the pandemic, the graphical and statistical results both showed that diabetic patients started reducing their doctor visits during the early stage of the pandemic. Furthermore, a substantial decrease in doctor visits was observed in women, and large to moderate reductions were seen in patients who take insulin and are of advanced age, who are at high risk of developing severe COVID-19. By contrast, no differentiated effect was found in terms of income status. We further investigated why a change in pattern occurred for each subgroup. The patterns of routine healthcare revealed by this study can contribute to the improvement of communication with the target population, the delivery of necessary healthcare resources, and the provision of appropriate responses to future pandemics. (299 words). Diabetic patients started decreasing doctor visits since the emergence of COVID-19. Female patients reduced doctor visits most rapidly regardless of their labor status. Patients at high risk of severe COVID-19 set very long interval in doctor visits.
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Affiliation(s)
- Masataka Harada
- Department of Industrial Economics, Faculty of Economics, Fukuoka University, Fukuoka, Japan
| | - Takumi Nishi
- Department of Research Planning and Information Management, Fukuoka Institute of Health and Environmental Sciences, Fukuoka, Japan
| | - Toshiki Maeda
- Department of Preventive Medicine and Public Health, Faculty of Medicine, Fukuoka University, Fukuoka, Japan
| | - Kozo Tanno
- Department of Hygiene and Preventive Medicine, Iwate Medical University, Iwate, Japan.,Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Iwate, Japan
| | - Naoyuki Nishiya
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Iwate, Japan.,Division of Integrated Information for Pharmaceutical Sciences, Department of Clinical Pharmacy, Iwate Medical University School of Pharmacy, Iwate, Japan
| | - Hisatomi Arima
- Department of Preventive Medicine and Public Health, Faculty of Medicine, Fukuoka University, Fukuoka, Japan
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Tanno K, Yonekura Y, Okuda N, Kuribayashi T, Yabe E, Tsubota-Utsugi M, Omama S, Onoda T, Ohsawa M, Ogasawara K, Tanaka F, Asahi K, Itabashi R, Ito S, Ishigaki Y, Takahashi F, Koshiyama M, Sasaki R, Fujimaki D, Takanashi N, Takusari E, Sakata K, Okayama A. Association between Milk Intake and Incident Stroke among Japanese Community Dwellers: The Iwate-KENCO Study. Nutrients 2021; 13:nu13113781. [PMID: 34836038 PMCID: PMC8623161 DOI: 10.3390/nu13113781] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Revised: 10/12/2021] [Accepted: 10/20/2021] [Indexed: 11/24/2022] Open
Abstract
We aimed to evaluate the association between the milk consumption and incident stroke in a Japanese population, where milk consumption is lower than that of Western countries. In total, 14,121 participants (4253 men and 9868 women) aged 40–69 years, free from cardiovascular diseases (CVD) were prospectively followed for 10.7 years. Participants were categorized into four groups according to the milk intake frequency obtained from a brief-type self-administered diet questionnaire. The adjusted HRs of total stroke, ischemic stroke and haemorrhagic stroke associated with milk intake frequency were calculated using the Cox proportional hazards model. During the follow-up, 478 stroke cases were detected (208 men and 270 women). Compared to women with a milk intake of <2 cups/week, those with an intake of 7 to <12 cups/week had a significantly low risk of ischemic stroke in a model adjusting CVD risk factors; the HR (95% CI) was 0.53 (0.32–0.88). No significant associations were found in men. This study suggested that milk intake of 7 to <12 cups/week decreased the risk of ischemic stroke in Japanese women. Milk intake of about 1 to <2 cups/day may be effective in the primary prevention of ischemic stroke in a population with low milk intake.
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Affiliation(s)
- Kozo Tanno
- Department of Hygiene and Preventive Medicine, Iwate Medical University, Yahaba 028-3694, Japan; (M.T.-U.); (D.F.); (N.T.); (E.T.); (K.S.)
- Correspondence: ; Tel.: +81-19-651-5110
| | - Yuki Yonekura
- Department of Nursing Informatics, Graduate School of Nursing Science, St. Luke’s International University, Tokyo 104-0044, Japan;
| | - Nagako Okuda
- Department of Health Science, Kyoto Prefectural University, Kyoto 606-8522, Japan;
| | - Toru Kuribayashi
- Faculty of Humanities and Social Sciences, Iwate University, Morioka 020-8550, Japan;
| | - En Yabe
- Department of Health Food Sciences, University of Human Arts and Sciences, Saitama 399-8539, Japan;
| | - Megumi Tsubota-Utsugi
- Department of Hygiene and Preventive Medicine, Iwate Medical University, Yahaba 028-3694, Japan; (M.T.-U.); (D.F.); (N.T.); (E.T.); (K.S.)
| | - Shinichi Omama
- Iwate Prefectural Advanced Critical Care and Emergency Center, Iwate Medical University, Yahaba 028-3694, Japan;
| | - Toshiyuki Onoda
- Health Care Center, Iwate University, Morioka 020-8550, Japan;
| | - Masaki Ohsawa
- Department of Internal Medicine, Morioka Tsunagi Onsen Hospital, Morioka 020-0055, Japan;
| | - Kuniaki Ogasawara
- Department of Neurosurgery, Iwate Medical University, Yahaba 028-3695, Japan;
| | - Fumitaka Tanaka
- Division of Nephrology and Hypertension, Department of Internal Medicine, Iwate Medical University, Yahaba 028-3695, Japan; (F.T.); (K.A.)
| | - Koichi Asahi
- Division of Nephrology and Hypertension, Department of Internal Medicine, Iwate Medical University, Yahaba 028-3695, Japan; (F.T.); (K.A.)
| | - Ryo Itabashi
- Stroke Center, Division of Neurology and Gerontology, Department of Internal Medicine, Iwate Medical University, Yahaba 028-3695, Japan;
| | - Shigeki Ito
- Division of Hematology and Oncology, Department of Internal Medicine, Iwate Medical University, Yahaba 028-3695, Japan;
| | - Yasushi Ishigaki
- Division of Diabetes, Metabolism and Endocrinology, Department of Internal Medicine, Iwate Medical University, Yahaba 028-3695, Japan;
| | - Fumiaki Takahashi
- Department of Information Science, Iwate Medical University, Yahaba 028-3694, Japan;
| | | | - Ryohei Sasaki
- Center for Liberal Arts and Sciences, Department of Human Sciences, Iwate Medical University, Yahaba 028-3694, Japan;
| | - Daisuke Fujimaki
- Department of Hygiene and Preventive Medicine, Iwate Medical University, Yahaba 028-3694, Japan; (M.T.-U.); (D.F.); (N.T.); (E.T.); (K.S.)
| | - Nobuyuki Takanashi
- Department of Hygiene and Preventive Medicine, Iwate Medical University, Yahaba 028-3694, Japan; (M.T.-U.); (D.F.); (N.T.); (E.T.); (K.S.)
| | - Eri Takusari
- Department of Hygiene and Preventive Medicine, Iwate Medical University, Yahaba 028-3694, Japan; (M.T.-U.); (D.F.); (N.T.); (E.T.); (K.S.)
| | - Kiyomi Sakata
- Department of Hygiene and Preventive Medicine, Iwate Medical University, Yahaba 028-3694, Japan; (M.T.-U.); (D.F.); (N.T.); (E.T.); (K.S.)
| | - Akira Okayama
- The Research Institute of Strategy for Prevention, Tokyo 103-0006, Japan;
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Ohsawa M, Tanno K, Itoh T. Age-Specific Incidence Rates of Acute Coronary Syndrome in Japan - A Special Gift From a Collaboration of Cardiologists and Epidemiologists. Circ J 2021; 85:1731-1734. [PMID: 34261829 DOI: 10.1253/circj.cj-21-0502] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Masaki Ohsawa
- Department of Internal Medicine, Iwate Medical University.,Department of Internal Medicine, Morioka Tsunagi Onsen Hospital
| | - Kozo Tanno
- Department of Hygiene and Preventive Medicine, Iwate Medical University
| | - Tomonori Itoh
- Department of Internal Medicine, Iwate Medical University
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Itai K, Onoda T, Nohara M, Kuribayashi T, Tanno K, Ohsawa M, Mori M, Okayama A. Slightly Elevated Serum Ionic Fluoride Levels Inhibit Insulin Secretion and Increase Glucose Levels in a General Japanese Population: a Cross-sectional Study. Biol Trace Elem Res 2021; 199:2819-2825. [PMID: 33034009 DOI: 10.1007/s12011-020-02415-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2020] [Accepted: 09/30/2020] [Indexed: 10/23/2022]
Abstract
A cross-sectional study was performed to investigate the relationships between serum fluoride levels, glucose levels, and insulin secretion in a general population. A total of 330 healthy subjects (167 men; 163 women) aged between 40 and 69 years were examined. Lifestyle information was obtained using questionnaires. Blood samples were collected in the early morning, and biochemical parameters and glucose indices were measured. Serum ionic fluoride (SIF) levels were assessed using a highly sensitive method. Relationships between glucose indices and SIF levels were investigated using a multiple linear regression analysis. SIF levels positively correlated with fasting plasma glucose (FPG) and glycohemoglobin (HbA1c) levels in both sexes. In women, SIF levels negatively correlated with homeostasis model assessment insulin secretion (HOMA-β) levels. In men, the proportion of regular drinkers negatively correlated with HOMA-β, but not SIF levels. Although SIF levels < 1 μmol/L were associated with reduced insulin secretion and increased FPG levels, the risk of diabetes was not elevated. These results suggest that increased SIF levels caused by a large fluoride intake and compromised renal function combined with poor lifestyle choices elevate the risk of diabetes. Further studies are warranted to elucidate the effects of fluoride on glucose metabolism.
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Affiliation(s)
- Kazuyoshi Itai
- The Research Institute of Strategy for Prevention, Shinkawa 1-39 4F, Chuo-ku, Tokyo, 104-0033, Japan.
| | | | - Masaru Nohara
- Department of Health and Welfare, Iwate Prefectural Government, Morioka, Japan
| | | | - Kozo Tanno
- Department of Hygiene and Preventive Medicine, Iwate Medical University, Morioka, Japan
| | - Masaki Ohsawa
- Morioka Tsunagi Onsen Hospital, Department of Internal Medicine, Morioka, Japan
| | - Makiko Mori
- Department of Nutritional Sciences, Morioka University, Takizawa, Japan
| | - Akira Okayama
- The Research Institute of Strategy for Prevention, Shinkawa 1-39 4F, Chuo-ku, Tokyo, 104-0033, Japan
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Yamanishi R, Sawada N, Hanyuda A, Uchino M, Kawashima M, Yuki K, Tsubota K, Kato T, Saito I, Arima K, Mizukami S, Tanno K, Sakata K, Yamagishi K, Iso H, Yasuda N, Shimazu T, Yamaji T, Goto A, Inoue M, Iwasaki M, Tsugane S. Relation Between Body Mass Index and Dry Eye Disease: The Japan Public Health Center-Based Prospective Study for the Next Generation. Eye Contact Lens 2021; 47:449-455. [PMID: 34310488 DOI: 10.1097/icl.0000000000000814] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/19/2021] [Indexed: 12/19/2022]
Abstract
OBJECTIVE To investigate the relation between body mass index (BMI) and dry eye disease (DED). METHODS We conducted a cross-sectional questionnaire-based survey in 85,264 Japanese men and women aged 40 to 74 years who participated in the Japan Public Health Center-based Prospective Study for the Next Generation (JPHC-NEXT Study). Dry eye disease was defined as the presence of severe symptoms or clinical diagnosis. A multivariable logistic regression model was used to estimate the odds ratios (ORs) of DED associated with BMI and their two-sided 95% confidence intervals (CIs). We adjusted for age, cohort area, visual display terminal time, smoking status, alcohol intake, education status, income status, as well as history of hormone replacement therapy for women. RESULTS Prevalence of DED was 23.4% (n = 19,985; 6,289 men, 13,696 women). Higher BMI was correlated with a lower prevalence of DED in a dose-response fashion, with an adjusted OR of DED (95% CI) per 1 kg/m2 increment of BMI of 0.98 (95% CI: 0.97-0.99) for men and 0.97 (95% CI: 0.97-0.98) for women. CONCLUSIONS This large population-based study showed an inverse relationship between BMI and prevalence of DED in a Japanese population. Underestimation of DED is warned, especially for participants with high BMI.
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Affiliation(s)
- Ryutaro Yamanishi
- Department of Ophthalmology (R.Y., A.H., M.U., M.K., K. Yuki, K. Tsubota), Keio University School of Medicine, Tokyo, Japan ; Epidemiology and Prevention Group (R.Y., N.S., A.H., T.S., T.Y., A.G., M. Inoue, M. Iwasaki, S.T.), Center for Public Health Sciences, National Cancer Center, Tokyo, Japan ; Center for Education and Educational Research (T.K.), Faculty of Education, Ehime University, Matsuyama, Japan ; Department of Public Health and Epidemiology (I.S.), Faculty of Medicine, Oita University, Oita, Japan ; Department of Public Health (K.A., S.M.), Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan ; Department of Hygiene and Preventive Medicine (K. Tanno, K.S.), School of Medicine, Iwate Medical University, Iwate, Japan ; Department of Public Health Medicine (K. Yamagishi, H.I.), Faculty of Medicine, and Health Services Research and Development Center, University of Tsukuba, Tsukuba, Japan ; Ibaraki Western Medical Center (Kazumasa Yamagishi), Chikusei, Japan ; Public Health (H.I.), Department of Social Medicine, Osaka University Graduate School of Medicine, Suita, Japan ; and Department of Public Health (N.Y.), Kochi University Medical School, Kochi, Japan
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Takahashi S, Tanno K, Yonekura Y, Ohsawa M, Kuribayashi T, Ishibashi Y, Omama S, Tanaka F, Onoda T, Sakata K, Koshiyama M, Itai K, Okayama A. Low educational level increases functional disability risk subsequent to heart failure in Japan: On behalf of the Iwate KENCO study group. PLoS One 2021; 16:e0253017. [PMID: 34101763 PMCID: PMC8186788 DOI: 10.1371/journal.pone.0253017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2021] [Accepted: 05/27/2021] [Indexed: 12/03/2022] Open
Abstract
Objectives The risk factors that contribute to future functional disability after heart failure (HF) are poorly understood. The aim of this study was to determine potential risk factors to future functional disability after HF in the general older adult population in Japan. Methods The subjects who were community-dwelling older adults aged 65 or older without a history of cardiovascular diseases and functional disability were followed in this prospective study for 11 years. Two case groups were determined from the 4,644 subjects: no long-term care insurance (LTCI) after HF (n = 52) and LTCI after HF (n = 44). We selected the controls by randomly matching each case of HF with three of the remaining 4,548 subjects who were event-free during the period: those with no LTCI and no HF with age +/-1 years and of the same sex, control for the no LTCI after HF group (n = 156), and control for the LTCI after HF group (n = 132). HF was diagnosed according to the Framingham diagnostic criteria. Individuals with a functional disability were those who had been newly certified by the LTCI during the observation period. Objective data including blood samples and several socioeconomic items in the baseline survey were assessed using a self-reported questionnaire. Results Significantly associated risk factors were lower educational levels (odds ratio (OR) [95% confidence interval (CI)]: 3.72 [1.63–8.48]) in the LTCI after HF group and hypertension (2.20 [1.10–4.43]) in no LTCI after HF group. Regular alcohol consumption and unmarried status were marginally significantly associated with LTCI after HF (OR [95% CI]; drinker = 2.69 [0.95–7.66]; P = 0.063; unmarried status = 2.54 [0.91–7.15]; P = 0.076). Conclusion Preventive measures must be taken to protect older adults with unfavorable social factors from disability after HF via a multidisciplinary approach.
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Affiliation(s)
- Shuko Takahashi
- Division of Medical Education, Iwate Medical University, Shiwa-gun, Iwate, Japan
- Takemi Program in International Health, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
- Department of Health and Welfare, Iwate Prefectural Government, Morioka, Iwate, Japan
- * E-mail:
| | - Kozo Tanno
- Department of Hygiene and Preventive Medicine, School of Medicine, Iwate Medical University, Shiwa-gun, Iwate, Japan
| | | | - Masaki Ohsawa
- Morioka Tsunagi Onsen Hospital, Morioka, Iwate, Japan
| | - Toru Kuribayashi
- Faculty of Humanities and Social Sciences, Iwate University, Morioka, Japan
| | - Yasuhiro Ishibashi
- Department of Neurology and Gerontology, Iwate Medical University, Shiwa-gun, Iwate, Japan
| | - Shinichi Omama
- Department of Neurosurgery, Iwate Medical University, Shiwa-gun, Iwate, Japan
| | - Fumitaka Tanaka
- Division of Nephrology and Hypertension, School of Medicine, Iwate Medical University, Shiwa-gun, Iwate, Japan
| | | | - Kiyomi Sakata
- Department of Hygiene and Preventive Medicine, School of Medicine, Iwate Medical University, Shiwa-gun, Iwate, Japan
| | | | - Kazuyoshi Itai
- Department of Nutritional Sciences, Morioka University, Takizawa, Japan
| | - Akira Okayama
- Research Institute of Strategy for Prevention, Tokyo, Japan
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Kotozaki Y, Tanno K, Sakata K, Takusari E, Otsuka K, Tomita H, Sasaki R, Takanashi N, Mikami T, Hozawa A, Nakaya N, Tsuchiya N, Nakamura T, Narita A, Taki Y, Shimizu A, Hitomi J, Satoh M, Sasaki M. Association between the social isolation and depressive symptoms after the great East Japan earthquake: findings from the baseline survey of the TMM CommCohort study. BMC Public Health 2021; 21:925. [PMID: 33992096 PMCID: PMC8122535 DOI: 10.1186/s12889-021-10896-5] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Accepted: 04/19/2021] [Indexed: 11/26/2022] Open
Abstract
BACKGROUND Social isolation and mental health issues have become a severe problem in disaster areas in the Great East Japan Earthquake. This study examined whether the combination of the house damage and social isolation or the combination of the death of family members and social isolation is associated with depressive symptoms among survivors using the baseline study data of the Tohoku Medical Megabank Project Community-Based Cohort Study (TMM CommCohort Study). METHODS We used cross-sectional data from a baseline survey of 48,958 participants (18,423 males, 30,535 females; aged 60.1 ± 11.2 years) to examine the association between social isolation measured by the Lubben social network scale 6 (LSNS-6) and depressive symptoms measured by the Center for Epidemiological Studies-Depressive Scale (CES-D). The presence of social isolation and depressive symptoms was defined by an LSNS-6 score of < 12 and a CES-D score of ≥16, respectively. We performed a logistic regression analysis to determine the multivariable-adjusted odds ratio (95% confidence interval) [AOR (95% CI)] for depressive symptoms according to sex in the social isolation in comparison to without social isolation, and the associations of the combination of the house damage or the death of family members and social isolation and depressive symptoms. RESULTS Social isolation was significantly associated with depressive symptoms (males: OR = 1.87; 95% CI = 1.72-2.04, females: OR = 2.13; 95% CI = 2.00-2.26). Both males and females respondents with severe house damage and social isolation had a greater risk of depressive symptoms in comparison to those with an undamaged house and without social isolation (males: OR = 3.40; 95% CI = 2.73-4.24, females: OR = 2.92; 95% CI = 2.46-3.46). The risk of depressive symptoms was also higher in both males and females respondents with the death of family members and social isolation in comparison to those without the death of family members and without social isolation (males: OR = 2.18; 95% CI = 1.90-2.50, females: OR = 2.60; 95% CI = 2.35-2.88). CONCLUSION The findings suggested that a combination of social isolation and severe house damage and the death of family members caused by a large-scale natural disaster was associated with a higher risk of depressive symptoms although the interaction was not statistically significant.
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Affiliation(s)
- Yuka Kotozaki
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, 1-1-1 Idaidori, Yahaba, Shiwa, Iwate, 028-3694, Japan.
| | - Kozo Tanno
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, 1-1-1 Idaidori, Yahaba, Shiwa, Iwate, 028-3694, Japan
- Department of Hygiene and Preventive Medicine, School of Medicine, Iwate Medical University, Iwate, Japan
| | - Kiyomi Sakata
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, 1-1-1 Idaidori, Yahaba, Shiwa, Iwate, 028-3694, Japan
- Department of Hygiene and Preventive Medicine, School of Medicine, Iwate Medical University, Iwate, Japan
| | - Eri Takusari
- Department of Hygiene and Preventive Medicine, School of Medicine, Iwate Medical University, Iwate, Japan
| | - Kotaro Otsuka
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, 1-1-1 Idaidori, Yahaba, Shiwa, Iwate, 028-3694, Japan
- Department of Neuropsychiatry, School of Medicine, Iwate Medical University, Iwate, Japan
| | - Hiroaki Tomita
- Department of Psychiatry, Graduate School of Medicine, Tohoku University, Sendai, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Division of Disaster Medical Science, International Research Institute of Disaster Science, Tohoku University, Sendai, Japan
| | - Ryohei Sasaki
- Division of Physical Education, Department of Human Sciences, Iwate Medical University Center for Liberal Arts and Sciences, Iwate, Japan
| | - Nobuyuki Takanashi
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, 1-1-1 Idaidori, Yahaba, Shiwa, Iwate, 028-3694, Japan
- Department of Hygiene and Preventive Medicine, School of Medicine, Iwate Medical University, Iwate, Japan
| | - Takahiro Mikami
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, 1-1-1 Idaidori, Yahaba, Shiwa, Iwate, 028-3694, Japan
- Department of Anatomy, School of Medicine, Iwate Medical University, Iwate, Japan
| | - Atsushi Hozawa
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Naoki Nakaya
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Department of Health Science, Saitama Prefectural University, Koshigaya, Japan
| | - Naho Tsuchiya
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Tomohiro Nakamura
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Akira Narita
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Yasuyuki Taki
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Department of Radiology and Nuclear Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Atsushi Shimizu
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, 1-1-1 Idaidori, Yahaba, Shiwa, Iwate, 028-3694, Japan
- Division of Biomedical Information Analysis, Institute for Biomedical Sciences, Iwate Medical University, Iwate, Japan
| | - Jiro Hitomi
- Department of Anatomy, School of Medicine, Iwate Medical University, Iwate, Japan
| | - Mamoru Satoh
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, 1-1-1 Idaidori, Yahaba, Shiwa, Iwate, 028-3694, Japan
- Division of Biomedical Information Analysis, Institute for Biomedical Sciences, Iwate Medical University, Iwate, Japan
| | - Makoto Sasaki
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, 1-1-1 Idaidori, Yahaba, Shiwa, Iwate, 028-3694, Japan
- Division of Ultrahigh Field MRI, Institute for Biomedical Sciences, Iwate Medical University, Iwate, Japan
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Kuno J, Sakata K, Tanno K, Tsubota-Utsugi M, Takusari E, Shimoda H, Takanashi N, Sasaki R, Kobayashi S. [Falls and associated risk factors among elderly survivors of the Great East Japan Earthquake: RIAS Study]. Nihon Koshu Eisei Zasshi 2021; 68:255-266. [PMID: 33678763 DOI: 10.11236/jph.20-075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
Objective An increasing incidence of disuse syndrome is commonly observed in areas affected by large-scale natural disasters. Consequently, the fall risk is high in such populations, necessitating adequate attention to fall prevention measures. It is important to identify factors associated with falls to prevent deterioration in functional ability. We investigated the risk factors associated with falls among elderly survivors in disaster-stricken areas using longitudinal data from the Research project for the prospective Investigation of health problems Among Survivors of the Great East Japan Earthquake (RIAS) Study.Methods Of all data obtained from the RIAS Study, we used the data of 1,380 survivors who were aged ≥65 years, were not diagnosed with cancer or cardiovascular disease, did not need supportive care, and could participate in the annual survey between 2011 and 2016. Self-administered questionnaires were distributed, and anthropometric and grip tests were performed during the 2011 survey to obtain information regarding housing damage, the fear of falls, arthralgia, cognitive function psychological distress, insomnia, frequency of leaving the house, a history of hypertension, dyslipidemia, diabetes, alcohol consumption status, smoking status, and/or body mass index, and grip strength. Based on the responses obtained from each annual survey, a fall was defined as an event during which an individual had fallen at least once. Multivariate-adjusted odds ratio(OR) and 95% confidence interval(CI) for all variables related to falls were calculated using logistic regression with adjustment for sex and residential area. Similar analyses were performed based on age groups (65-74 years and ≥75 years).Results The 5-year fall incidence rate was 35.5% (31.9% [men], 37.9% [women]). In men, cognitive dysfunction was significantly associated with falls (OR 1.50, 95%CI 1.01-2.22). In women, cognitive dysfunction (OR 1.82, 95%CI 1.34-2.47), insomnia (OR 1.41, 95%CI 1.02-1.94), dyslipidemia (OR 1.58, 95% 95% CI 1.11-2.25), and a history of smoking (OR 4.30, 95%CI 1.08-17.14) were significantly associated with falls. In women aged ≥75 years, partial housing damage (OR 7.93, 95%CI 1.85-33.91) and psychological distress (OR 2.83, 95%CI 1.09-.7.37) were also significantly associated with falls.Conclusion This study suggests that cognitive dysfunction in both sexes and insomnia, dyslipidemia, and a history of smoking in women were significantly associated with falls, and partial housing damage and psychological distress were risk factors for falls in women aged ≥75 years. Fall prevention after large-scale natural disasters warrants close attention to known risk factors and environmental and mental health changes.
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Affiliation(s)
- Junji Kuno
- Department of Rehabilitation Technology, Iwate Prefectural Chubu Hospital
| | - Kiyomi Sakata
- Department of Hygiene and Preventive Medicine, Iwate Medical University School of Medicine
| | - Kozo Tanno
- Department of Hygiene and Preventive Medicine, Iwate Medical University School of Medicine
| | - Megumi Tsubota-Utsugi
- Department of Hygiene and Preventive Medicine, Iwate Medical University School of Medicine
| | - Eri Takusari
- Department of Hygiene and Preventive Medicine, Iwate Medical University School of Medicine
| | - Haruki Shimoda
- Department of Hygiene and Preventive Medicine, Iwate Medical University School of Medicine
| | - Nobuyuki Takanashi
- Department of Hygiene and Preventive Medicine, Iwate Medical University School of Medicine
| | - Ryohei Sasaki
- Department of Human Sciences, Center for Liberal Arts and Sciences, Iwate Medical University
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Hanyuda A, Sawada N, Uchino M, Kawashima M, Yuki K, Tsubota K, Tanno K, Sakata K, Yamagishi K, Iso H, Yasuda N, Saito I, Kato T, Abe Y, Arima K, Shimazu T, Yamaji T, Goto A, Inoue M, Iwasaki M, Tsugane S. Relationship between unhealthy sleep status and dry eye symptoms in a Japanese population: The JPHC-NEXT study. Ocul Surf 2021; 21:306-312. [PMID: 33845221 DOI: 10.1016/j.jtos.2021.04.001] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2020] [Revised: 03/31/2021] [Accepted: 04/03/2021] [Indexed: 12/18/2022]
Abstract
PURPOSE To investigate whether and how unhealthy sleep habits (i.e., the frequency of difficulty falling or staying asleep, and the frequency of waking up tired) and the duration of sleep are related to the prevalence of dry eye disease (DED) in a general population. METHODS This study included a total of 106,282 subjects aged 40-74 years who participated in a baseline survey of the Japan Public Health Center-based Prospective Study for the Next Generation. DED was defined as the presence of clinically diagnosed DED or severe symptoms. Multivariable-adjusted logistic regression models were used to assess the relationships of various components of sleep status with DED. RESULTS Higher frequencies of having difficulty falling or staying asleep, and waking up tired were significantly related to increased DED in both sexes (Ptrend<0.001). Compared with those with 8 h/day of sleep, shorter sleepers had an increased prevalence of DED in both sexes, although DED was increased among men who slept ≥10 h/day. By comparing participants with the greatest vs. the least difficulty of falling asleep, the multivariable-adjusted odds ratios (95% confidence interval [CI]) were 2.23 (95% CI, 1.99-2.49) for men and 1.91 (95% CI, 1.76-2.07) for women. When analyzed separately, the magnitude of each relationship was stronger with severe DED symptoms than with clinically diagnosed DED. CONCLUSIONS Sleep deprivation and poor sleep quality were significantly related to DED in a Japanese population.
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Affiliation(s)
- Akiko Hanyuda
- Department of Ophthalmology, Keio University School of Medicine, Tokyo, Japan; Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Norie Sawada
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan.
| | - Miki Uchino
- Department of Ophthalmology, Keio University School of Medicine, Tokyo, Japan
| | - Motoko Kawashima
- Department of Ophthalmology, Keio University School of Medicine, Tokyo, Japan
| | - Kenya Yuki
- Department of Ophthalmology, Keio University School of Medicine, Tokyo, Japan
| | - Kazuo Tsubota
- Department of Ophthalmology, Keio University School of Medicine, Tokyo, Japan
| | - Kozo Tanno
- Department of Hygiene and Preventive Medicine, School of Medicine, Iwate Medical University, Iwate, Japan
| | - Kiyomi Sakata
- Department of Hygiene and Preventive Medicine, School of Medicine, Iwate Medical University, Iwate, Japan
| | - Kazumasa Yamagishi
- Department of Public Health Medicine, Faculty of Medicine, Health Services Research and Development Center, University of Tsukuba, Ibaraki, Japan; Ibaraki Western Medical Center, Ibaraki, Japan
| | - Hiroyasu Iso
- Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Nobufumi Yasuda
- Department of Public Health, Kochi University Medical School, Kochi, Japan
| | - Isao Saito
- Department of Public Health and Epidemiology, Faculty of Medicine, Oita University, Oita, Japan
| | - Tadahiro Kato
- Center for Education and Educational Research, Faculty of Education, Ehime University, Ehime, Japan
| | - Yasuyo Abe
- Department of Public Health, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan
| | - Kazuhiko Arima
- Department of Public Health, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan
| | - Taichi Shimazu
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Taiki Yamaji
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Atsushi Goto
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Manami Inoue
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Motoki Iwasaki
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Shoichiro Tsugane
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
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Shido K, Kojima K, Shirota M, Yamasaki K, Motoike IN, Hozawa A, Ogishima S, Minegishi N, Tanno K, Katsuoka F, Tamiya G, Aiba S, Yamamoto M, Kinoshita K. GWAS Identified IL4R and the Major Histocompatibility Complex Region as the Associated Loci of Total Serum IgE Levels in 9,260 Japanese Individuals. J Invest Dermatol 2021; 141:2749-2752. [PMID: 33864772 DOI: 10.1016/j.jid.2021.02.762] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Revised: 02/17/2021] [Accepted: 02/22/2021] [Indexed: 10/21/2022]
Affiliation(s)
- Kosuke Shido
- Department of Dermatology, Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Kaname Kojima
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan; RIKEN Center for Advanced Intelligence Project, Tokyo, Japan
| | - Matsuyuki Shirota
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan; Division of Interdisciplinary Medical Science, Graduate School of Medicine, Tohoku University, Sendai, Japan; Graduate School of Information Sciences, Tohoku University, Sendai, Japan
| | - Kenshi Yamasaki
- Department of Dermatology, Graduate School of Medicine, Tohoku University, Sendai, Japan.
| | - Ikuko N Motoike
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Atsushi Hozawa
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Soichi Ogishima
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan; Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, Sendai, Japan
| | - Naoko Minegishi
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan; Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, Sendai, Japan
| | - Kozo Tanno
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Sendai, Japan
| | - Fumiki Katsuoka
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Gen Tamiya
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan; RIKEN Center for Advanced Intelligence Project, Tokyo, Japan; Department of Statistical Genetics and Genomics, Graduate School of Medicine, Tohoku University, Sendai, Japan; Department of AI and Innovative Medicine, Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Setsuya Aiba
- Department of Dermatology, Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Masayuki Yamamoto
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan; Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, Sendai, Japan; Department of Medical Biochemistry, Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Kengo Kinoshita
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan; Graduate School of Information Sciences, Tohoku University, Sendai, Japan; Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, Sendai, Japan; Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
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Ogawa K, Morisaki N, Piedvache A, Nagata C, Sago H, Urayama KY, Arima K, Nishimura T, Sakata K, Tanno K, Yamagishi K, Iso H, Yasuda N, Kato T, Saito I, Goto A, Shimazu T, Yamaji T, Iwasaki M, Inoue M, Sawada N, Tsugane S. Association Between Birth Weight and Risk of Pregnancy-Induced Hypertension and Gestational Diabetes in Japanese Women: JPHC-NEXT Study. J Epidemiol 2021; 32:168-173. [PMID: 33853974 PMCID: PMC8918619 DOI: 10.2188/jea.je20200302] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Background Although prevalence of low birth weight has increased in the last 3 decades in Japan, no studies in Japanese women have investigated whether birth weight is associated with the risk of pregnancy complications, such as pregnancy-induced hypertension (PIH) and gestational diabetes mellitus (GDM). Methods We used data from the Japan Public Health Center-based Prospective Study for the Next Generation (JPHC-NEXT), a population-based cohort study in Japan that launched in 2011. In the main analysis, we included 46,365 women who had been pregnant at least once, for whom information on birth weight and events during their pregnancy was obtained using a self-administered questionnaire. Women were divided into five categories according to their birth weight, and the relationship between birth weight and risk of PIH and GDM was examined using multilevel logistic regression analyses with place of residence as a random effect. Results Compared to women born with birth weight of 3,000–3,999 grams, the risk of PIH was significantly higher among women born <1,500 grams (adjusted odd ratio [aOR] 1.60; 95% confidence interval [CI], 1.17–2.21), 1,500–2,499 grams (aOR 1.16; 95% CI, 1.03–1.30), and 2,500–2,999 grams (aOR 1.13; 95% CI, 1.04–1.22). The risk of GDM was significantly higher among women born 1,500–2,499 grams (aOR 1.20; 95% CI, 1.02–1.42), albeit non-significant association among women in other birthweight categories. Conclusions We observed an increased risk of PIH among women born with lower birth weight albeit non-significant increased risk of GDM among Japanese women.
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Affiliation(s)
- Kohei Ogawa
- Center for Maternal-Fetal, Neonatal and Reproductive Medicine, National Center for Child Health and Development.,Department of Social Medicine, National Research Institute for Child Health and Development
| | - Naho Morisaki
- Department of Social Medicine, National Research Institute for Child Health and Development
| | - Aurelie Piedvache
- Department of Social Medicine, National Research Institute for Child Health and Development
| | - Chie Nagata
- Department of Education for Clinical Research, National Center for Child Health and Development
| | - Haruhiko Sago
- Center for Maternal-Fetal, Neonatal and Reproductive Medicine, National Center for Child Health and Development
| | - Kevin Y Urayama
- Department of Social Medicine, National Research Institute for Child Health and Development.,Graduate School of Public Health, St. Luke's International University
| | - Kazuhiko Arima
- Department of Public Health, Nagasaki University Graduate School of Biomedical Sciences
| | - Takayuki Nishimura
- Department of Public Health, Nagasaki University Graduate School of Biomedical Sciences
| | - Kiyomi Sakata
- Department of Hygiene and Preventive Medicine, School of Medicine, Iwate Medical University
| | - Kozo Tanno
- Department of Hygiene and Preventive Medicine, School of Medicine, Iwate Medical University
| | - Kazumasa Yamagishi
- Department of Public Health Medicine, Faculty of Medicine, and Health Services Research and Development Center, University of Tsukuba.,Ibaraki Western Medical Center
| | - Hiroyasu Iso
- Department of Public Health Medicine, Faculty of Medicine, and Health Services Research and Development Center, University of Tsukuba.,Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine
| | - Nobufumi Yasuda
- Department of Public Health, Kochi University Medical School
| | - Tadahiro Kato
- Center for Education and Educational Research, Faculty of Education, Ehime University
| | - Isao Saito
- Department of Public Health and Epidemiology, Oita University
| | - Atsushi Goto
- Epidemiology and Prevention Group, Center for Public Health and Sciences, National Cancer Center
| | - Taichi Shimazu
- Epidemiology and Prevention Group, Center for Public Health and Sciences, National Cancer Center
| | - Taiki Yamaji
- Epidemiology and Prevention Group, Center for Public Health and Sciences, National Cancer Center
| | - Motoki Iwasaki
- Epidemiology and Prevention Group, Center for Public Health and Sciences, National Cancer Center
| | - Manami Inoue
- Epidemiology and Prevention Group, Center for Public Health and Sciences, National Cancer Center
| | - Norie Sawada
- Epidemiology and Prevention Group, Center for Public Health and Sciences, National Cancer Center
| | - Shoichiro Tsugane
- Epidemiology and Prevention Group, Center for Public Health and Sciences, National Cancer Center
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Suzuki S, Goto A, Nakatochi M, Narita A, Yamaji T, Sawada N, Katagiri R, Iwagami M, Hanyuda A, Hachiya T, Sutoh Y, Oze I, Koyanagi YN, Kasugai Y, Taniyama Y, Ito H, Ikezaki H, Nishida Y, Tamura T, Mikami H, Takezaki T, Suzuki S, Ozaki E, Kuriki K, Takashima N, Arisawa K, Takeuchi K, Tanno K, Shimizu A, Tamiya G, Hozawa A, Kinoshita K, Wakai K, Sasaki M, Yamamoto M, Matsuo K, Tsugane S, Iwasaki M. Body mass index and colorectal cancer risk: A Mendelian randomization study. Cancer Sci 2021; 112:1579-1588. [PMID: 33506574 PMCID: PMC8019210 DOI: 10.1111/cas.14824] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Revised: 01/14/2021] [Accepted: 01/24/2021] [Indexed: 12/24/2022] Open
Abstract
Traditional observational studies have reported a positive association between higher body mass index (BMI) and the risk of colorectal cancer (CRC). However, evidence from other approaches to pursue the causal relationship between BMI and CRC is sparse. A two-sample Mendelian randomization (MR) study was undertaken using 68 single nucleotide polymorphisms (SNPs) from the Japanese genome-wide association study (GWAS) and 654 SNPs from the GWAS catalogue for BMI as sets of instrumental variables. For the analysis of SNP-BMI associations, we undertook a meta-analysis with 36 303 participants in the Japanese Consortium of Genetic Epidemiology studies (J-CGE), comprising normal populations. For the analysis of SNP-CRC associations, we utilized 7636 CRC cases and 37 141 controls from five studies in Japan, and undertook a meta-analysis. Mendelian randomization analysis of inverse-variance weighted method indicated that a one-unit (kg/m2 ) increase in genetically predicted BMI was associated with an odds ratio of 1.13 (95% confidence interval, 1.06-1.20; P value <.001) for CRC using the set of 68 SNPs, and an odds ratio of 1.07 (1.03-1.11, 0.001) for CRC using the set of 654 SNPs. Sensitivity analyses robustly showed increased odds ratios for CRC for every one-unit increase in genetically predicted BMI. Our MR analyses strongly support the evidence that higher BMI influences the risk of CRC. Although Asians are generally leaner than Europeans and North Americans, avoiding higher BMI seems to be important for the prevention of CRC in Asian populations.
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Grants
- 15ck0106095h0002 Japan Agency for Medical Research and Development
- 16ck0106095h0003 Japan Agency for Medical Research and Development
- 17ck0106266h00 Japan Agency for Medical Research and Development
- JP20km0105001 Japan Agency for Medical Research and Development
- 20km0105003 Japan Agency for Medical Research and Development
- JP16H06277 JSPS KAKENHI Grant from the Japanese Ministry of Education, Culture, Sports, Science and Technology
- JP26253041 JSPS KAKENHI Grant from the Japanese Ministry of Education, Culture, Sports, Science and Technology
- JP20K10463 JSPS KAKENHI Grant from the Japanese Ministry of Education, Culture, Sports, Science and Technology
- JP18K10095 JSPS KAKENHI Grant from the Japanese Ministry of Education, Culture, Sports, Science and Technology
- JP19H03913 JSPS KAKENHI Grant from the Japanese Ministry of Education, Culture, Sports, Science and Technology
- 17015018 Grants-in-Aid for Scientific Research for Priority Areas of Cancer from the Japanese Ministry of Education, Culture, Sports, Science and Technology
- 221S0001 Grants-in-Aid for Scientific Research for Innovative Areas from the Japanese Ministry of Education, Culture, Sports, Science and Technology
- Reconstruction Agency, the Japanese Ministry of Education, Culture, Sports, Science and Technology
- Grant-in-Aid for the Third Term Comprehensive 10-year Strategy for Cancer Control from the Ministry of Health, Labour and Welfare of Japan
- 23-A-31 National Cancer Center Research and Development Fund
- 26-A-2 National Cancer Center Research and Development Fund
- 28-A-19 National Cancer Center Research and Development Fund
- 29-A-4 National Cancer Center Research and Development Fund
- 31-A-18 National Cancer Center Research and Development Fund
- Japan Agency for Medical Research and Development
- JSPS KAKENHI Grant from the Japanese Ministry of Education, Culture, Sports, Science and Technology
- Reconstruction Agency, the Japanese Ministry of Education, Culture, Sports, Science and Technology
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46
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Kotozaki Y, Satoh M, Tanno K, Ohmomo H, Otomo R, Tanaka F, Nasu T, Taguchi S, Kikuchi H, Kobayashi T, Shimizu A, Sakata K, Hitomi J, Sobue K, Sasaki M. Plasma Xanthine Oxidoreductase Activity Is Associated with a High Risk of Cardiovascular Disease in a General Japanese Population. Int J Environ Res Public Health 2021; 18:1894. [PMID: 33669298 PMCID: PMC7920066 DOI: 10.3390/ijerph18041894] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/17/2021] [Revised: 02/07/2021] [Accepted: 02/12/2021] [Indexed: 01/16/2023]
Abstract
The purpose of this study was to investigate the association between xanthine oxidoreductase (XOR) activity and a high risk of cardiovascular disease (CVD) in a general Japanese population. The Iwate Tohoku Medical Megabank Organization pooled individual participant data from a general population-based cohort study in Iwate prefecture. The cardiovascular risk was calculated using the Framingham Risk Score (FRS). A total of 1605 of the 1631 participants (98.4%) had detectable XOR activity. Multiple regression analysis demonstrated that XOR activity was independently associated with body mass index (β = 0.26, p < 0.001), diabetes (β = 0.09, p < 0.001), dyslipidemia (β = 0.08, p = 0.001), and uric acid (β = 0.13, p < 0.001). Multivariate analysis showed that the highest quartile of XOR activity was associated with a high risk for CVD (FRS ≥ 15) after adjustment for baseline characteristics (OR 2.93, 95% CI 1.16-7.40). The area under the receiver operating characteristic curves of the FRS with XOR activity was 0.81 (p = 0.008). XOR activity is associated with a high risk for CVD, suggesting that high XOR activity may indicate cardiovascular risk in a general Japanese population.
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Affiliation(s)
- Yuka Kotozaki
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Yahaba 028-3694, Japan; (Y.K.); (K.T.); (H.O.); (R.O.); (F.T.); (T.N.); (A.S.); (K.S.); (J.H.); (M.S.)
| | - Mamoru Satoh
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Yahaba 028-3694, Japan; (Y.K.); (K.T.); (H.O.); (R.O.); (F.T.); (T.N.); (A.S.); (K.S.); (J.H.); (M.S.)
- Division of Biomedical Information Analysis, Institute for Biomedical Sciences, Iwate Medical University, Yahaba 028-3694, Japan
| | - Kozo Tanno
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Yahaba 028-3694, Japan; (Y.K.); (K.T.); (H.O.); (R.O.); (F.T.); (T.N.); (A.S.); (K.S.); (J.H.); (M.S.)
- Department of Hygiene and Preventive Medicine, Iwate Medical University, Yahaba 028-3694, Japan
| | - Hideki Ohmomo
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Yahaba 028-3694, Japan; (Y.K.); (K.T.); (H.O.); (R.O.); (F.T.); (T.N.); (A.S.); (K.S.); (J.H.); (M.S.)
| | - Ryo Otomo
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Yahaba 028-3694, Japan; (Y.K.); (K.T.); (H.O.); (R.O.); (F.T.); (T.N.); (A.S.); (K.S.); (J.H.); (M.S.)
| | - Fumitaka Tanaka
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Yahaba 028-3694, Japan; (Y.K.); (K.T.); (H.O.); (R.O.); (F.T.); (T.N.); (A.S.); (K.S.); (J.H.); (M.S.)
- Division of Nephrology and Hypertension, Department of Internal Medicine, Iwate Medical University, Yahaba 028-3694, Japan
| | - Takahito Nasu
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Yahaba 028-3694, Japan; (Y.K.); (K.T.); (H.O.); (R.O.); (F.T.); (T.N.); (A.S.); (K.S.); (J.H.); (M.S.)
- Division of Biomedical Information Analysis, Institute for Biomedical Sciences, Iwate Medical University, Yahaba 028-3694, Japan
- Division of Cardiology, Department of Internal Medicine, Iwate Medical University, Yahaba 028-3694, Japan; (S.T.); (H.K.); (T.K.)
| | - Satoru Taguchi
- Division of Cardiology, Department of Internal Medicine, Iwate Medical University, Yahaba 028-3694, Japan; (S.T.); (H.K.); (T.K.)
| | - Hiroto Kikuchi
- Division of Cardiology, Department of Internal Medicine, Iwate Medical University, Yahaba 028-3694, Japan; (S.T.); (H.K.); (T.K.)
| | - Takamasa Kobayashi
- Division of Cardiology, Department of Internal Medicine, Iwate Medical University, Yahaba 028-3694, Japan; (S.T.); (H.K.); (T.K.)
| | - Atsushi Shimizu
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Yahaba 028-3694, Japan; (Y.K.); (K.T.); (H.O.); (R.O.); (F.T.); (T.N.); (A.S.); (K.S.); (J.H.); (M.S.)
- Division of Biomedical Information Analysis, Institute for Biomedical Sciences, Iwate Medical University, Yahaba 028-3694, Japan
| | - Kiyomi Sakata
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Yahaba 028-3694, Japan; (Y.K.); (K.T.); (H.O.); (R.O.); (F.T.); (T.N.); (A.S.); (K.S.); (J.H.); (M.S.)
- Department of Hygiene and Preventive Medicine, Iwate Medical University, Yahaba 028-3694, Japan
| | - Jiro Hitomi
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Yahaba 028-3694, Japan; (Y.K.); (K.T.); (H.O.); (R.O.); (F.T.); (T.N.); (A.S.); (K.S.); (J.H.); (M.S.)
- Department of Anatomy, Iwate Medical University, Yahaba 028-3694, Japan
| | - Kenji Sobue
- Department of Neuroscience, Institute for Biomedical Sciences, Iwate Medical University, Yahaba 028-3694, Japan;
| | - Makoto Sasaki
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Yahaba 028-3694, Japan; (Y.K.); (K.T.); (H.O.); (R.O.); (F.T.); (T.N.); (A.S.); (K.S.); (J.H.); (M.S.)
- Division of Ultrahigh field MRI, Institute for Biomedical Sciences, Iwate Medical University, Yahaba 028-3694, Japan
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Takebe N, Tanno K, Ohmomo H, Hangai M, Oda T, Hasegawa Y, Takanashi N, Sasaki R, Shimizu A, Sasaki A, Sakata K, Sasaki M, Ishigaki Y. Weight Gain After 20 Years of Age is Associated with Unfavorable Lifestyle and Increased Prevalence of Metabolic Disorders. Diabetes Metab Syndr Obes 2021; 14:2065-2075. [PMID: 34040401 PMCID: PMC8143959 DOI: 10.2147/dmso.s300250] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/03/2021] [Accepted: 03/12/2021] [Indexed: 12/23/2022] Open
Abstract
PURPOSE It is unclear what kind of modifiable lifestyle factors are associated with long-time weight gain in adulthood. To clarify the lifestyle behavior related to body weight gain since the age of 20 years, we explored the lifestyle risk factor, independently associated with excessive weight gain after 20 years of age as compared to those in subjects with a stable weight, with matching of age, gender, and the current body mass index (BMI). PATIENTS AND METHODS From baseline data of a general population-based cohort study, we designed a cross-sectional analysis collecting individual data of medical health check-ups and a questionnaire related to lifestyle, including amount of sleep, frequency of eating breakfast, average times per day engaged in walking and sitting in the prior year, and smoking habits. These data were compared between the subjects with weight gain ≥10kg (n=3601) and <10kg (n=3601) after age 20, matched by a propensity score model which included current BMI, age and gender. We used multivariable logistic regressions to assess the lifestyle factor's association with high weight gain. RESULTS Participants who gained ≥10 kg were significantly more likely to sleep <5 hours or ≥9 hours per night, skip breakfast, engage in walking <1 hour per day, and sit ≥5 hours per day than those who gained <10kg. Multivariable logistic regressions analyses showed that, with adjusting for potential confounder, the lifestyles with the positive association with high weight gain were skipping breakfast (OR 1.252; 95% CI 1.053-1.489, vs regularly), long sleeping duration (9 hours/day≤ OR 1.613; 95% CI 1.018-2.557 vs 5≤-<7 hours/day), and former smoker (OR 1.163; 95% CI 1.008-1.343 vs never smoker), while walking duration was negatively associated with high weight gain. Furthermore, despite similar current BMI, participants with weight gain ≥10kg had significantly higher values for waist circumference, blood pressure, HbA1c, LDL-C, triglycerides, and hepatic enzyme levels than those with weight gain <10kg. Similarly, the prevalence rates of hypertension, dyslipidemia, metabolic syndrome (MetS), and former smoker were higher in the participants with weight gain ≥10kg. CONCLUSION Major weight gain after 20 years of age was associated with unfavorable lifestyle factors and greater waist circumference, possibly leading to elevated risk for MetS and other non-communicable diseases. These findings highlight the importance of maintaining both weight at age 20 and a favorable lifestyle throughout adulthood.
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Affiliation(s)
- Noriko Takebe
- Division of Diabetes, Metabolism and Endocrinology, Department of Internal Medicine, Iwate Medical University, Yahaba, Japan
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Yahaba, Japan
| | - Kozo Tanno
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Yahaba, Japan
- Department of Hygiene and Preventive Medicine, Iwate Medical University, Yahaba, Japan
| | - Hideki Ohmomo
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Yahaba, Japan
| | - Mari Hangai
- Division of Diabetes, Metabolism and Endocrinology, Department of Internal Medicine, Iwate Medical University, Yahaba, Japan
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Yahaba, Japan
| | - Tomoyasu Oda
- Division of Diabetes, Metabolism and Endocrinology, Department of Internal Medicine, Iwate Medical University, Yahaba, Japan
| | - Yutaka Hasegawa
- Division of Diabetes, Metabolism and Endocrinology, Department of Internal Medicine, Iwate Medical University, Yahaba, Japan
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Yahaba, Japan
| | - Nobuyuki Takanashi
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Yahaba, Japan
- Department of Hygiene and Preventive Medicine, Iwate Medical University, Yahaba, Japan
| | - Ryohei Sasaki
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Yahaba, Japan
- Department of Human Sciences, Center for Liberal Arts and Sciences, Iwate Medical University, Yahaba, Japan
| | - Atsushi Shimizu
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Yahaba, Japan
| | - Akira Sasaki
- Department of Surgery, Iwate Medical University, Yahaba, Japan
| | - Kiyomi Sakata
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Yahaba, Japan
- Department of Hygiene and Preventive Medicine, Iwate Medical University, Yahaba, Japan
| | - Makoto Sasaki
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Yahaba, Japan
| | - Yasushi Ishigaki
- Division of Diabetes, Metabolism and Endocrinology, Department of Internal Medicine, Iwate Medical University, Yahaba, Japan
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Yahaba, Japan
- Correspondence: Yasushi Ishigaki Division of Diabetes, Metabolism and Endocrinology, Department of Internal Medicine, Iwate Medical University, 2-1-1 Idai-Dori, Yahaba, Iwate, 028-3695, JapanTel +81 19 613 7111Fax +81 19 907 8270 Email
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Takahashi S, Arima H, Nakano M, Ohki T, Morita J, Tabata K, Takayama Y, Tanno K, Yamamoto T. Telomere shortening as a stress-related biomarker in children exposed to maternal chronic stress in utero measured 7 years after the Great East Japan Earthquake. Psychiatry Res 2021; 295:113565. [PMID: 33221021 DOI: 10.1016/j.psychres.2020.113565] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2020] [Accepted: 11/05/2020] [Indexed: 11/16/2022]
Abstract
Seven years after the Great East Japan Earthquake, we investigated telomeres as a potential biomarker of maternal chronic stress in children according to the timing of exposure to the disaster. The subjects were children aged 5-9 years living in Rikuzentakata, Japan. Relative telomere length (rTL) was measured with PCR in saliva samples. The partial regression coefficient of the rTL was significantly shorter in the group of children conceived after the disaster than in the children who were in utero on the day of the disaster. Telomere length should be investigated as a biomarker for assessing disaster-related trauma in future studies.
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Affiliation(s)
- Shuko Takahashi
- Department of International Health and Medical Anthropology, Institute of Tropical Medicine, Nagasaki University, Nagasaki, Japan; Takemi Program in International Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Health and Welfare, Iwate Prefecture, Morioka, Iwate, Japan.
| | - Hiroaki Arima
- Department of International Health and Medical Anthropology, Institute of Tropical Medicine, Nagasaki University, Nagasaki, Japan; Graduate School of Biomedical Sciences, Nagasaki University, Nagasaki, Japan
| | - Masayuki Nakano
- Department of International Health and Medical Anthropology, Institute of Tropical Medicine, Nagasaki University, Nagasaki, Japan; Department of Bacteriology, Institute of Tropical Medicine, Nagasaki University, Nagasaki, Japan; Department of Nutrition, Faculty of Health Sciences, Kochi Gakuen University, Asahitenjin-cho, Kochi, Japan
| | - Tomoharu Ohki
- Iwate Prefectural Takata Hospital, Rikuzentakata, Iwate, Japan
| | - Jun Morita
- Morita Children's Clinic, Morioka, Iwate, Japan
| | - Kiyoshi Tabata
- Iwate Prefectural Takata Hospital, Rikuzentakata, Iwate, Japan
| | - Yoshihiro Takayama
- Department of International Health and Medical Anthropology, Institute of Tropical Medicine, Nagasaki University, Nagasaki, Japan; Graduate School of Biomedical Sciences, Nagasaki University, Nagasaki, Japan; Division of Infectious Diseases, Okinawa Prefectural Chubu Hospital, Uruma, Okinawa, Japan
| | - Kozo Tanno
- Department of Hygiene and Preventive Medicine, School of Medicine, Iwate Medical University, Shiwa-gun, Iwate, Japan
| | - Taro Yamamoto
- Department of International Health and Medical Anthropology, Institute of Tropical Medicine, Nagasaki University, Nagasaki, Japan; Graduate School of Biomedical Sciences, Nagasaki University, Nagasaki, Japan
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49
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Itabashi F, Hirata T, Kogure M, Narita A, Tsuchiya N, Nakamura T, Nakaya N, Sasaki R, Takanashi N, Sakata K, Tanno K, Sugawara J, Kuriyama S, Tsuji I, Kure S, Hozawa A. Combined associations of liver enzymes and obesity with diabetes mellitus prevalence: The Tohoku Medical Megabank Community-based Cohort Study. J Epidemiol 2020; 32:221-227. [PMID: 33390464 PMCID: PMC8979920 DOI: 10.2188/jea.je20200384] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023] Open
Abstract
BACKGROUND Alanine aminotransferase (ALT) and gamma-glutamyl transferase (GGT) are enzymes associated with diabetes mellitus (DM) prevalence. However, limited information is available regarding the association of liver enzymes and DM consistently present in obese and non-obese individuals. We examined whether the combination of ALT and GGT enzymes is associated with the prevalence of DM regardless of obesity in a general Japanese population. METHODS We conducted a cross-sectional study of 62,786 participants aged ≥20 years who lived in Miyagi and Iwate, Japan. We divided all the participants into eight groups according to the ALT level (low: <30 IU/L and high: ≥30 IU/L), GGT level (low: <50 IU/L and high: ≥50 IU/L), and the presence of obesity. We calculated odds ratios (ORs) and 95% confidence intervals (CIs) using multivariable logistic regression analysis, adjusting for potential confounders, to determine associations of the combination of ALT and GGT levels and obesity with DM prevalence. RESULTS Overall, 6,008 participants (9.6%) had DM. Compared to non-obese individuals with low ALT and GGT levels, the participants with high ALT and GGT levels had high ORs for DM in both obese (OR 4.06; 95% CI, 3.61-4.56) and non-obese groups (OR 2.19; 95% CI, 1.89-2.52). The obese group had high ORs for DM, even at low ALT and GGT levels. CONCLUSION High ALT and GGT levels are associated with DM prevalence in obese and non-obese participants. This finding suggests that correcting ALT and GGT levels and controlling obesity are important for the prevention of DM.
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Affiliation(s)
- Fumi Itabashi
- Tohoku Medical Megabank Organization, Tohoku University
| | - Takumi Hirata
- Tohoku Medical Megabank Organization, Tohoku University.,Hokkaido University Faculty of Medicine
| | - Mana Kogure
- Tohoku Medical Megabank Organization, Tohoku University
| | - Akira Narita
- Tohoku Medical Megabank Organization, Tohoku University
| | - Naho Tsuchiya
- Tohoku Medical Megabank Organization, Tohoku University
| | | | - Naoki Nakaya
- Tohoku Medical Megabank Organization, Tohoku University.,Saitama Prefectural University
| | - Ryohei Sasaki
- Department of Human Sciences, Center for Liberal Arts and Sciences, Iwate Medical University
| | - Nobuyuki Takanashi
- Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University
| | - Kiyomi Sakata
- Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University
| | - Kozo Tanno
- Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University
| | | | | | - Ichiro Tsuji
- Tohoku Medical Megabank Organization, Tohoku University
| | - Shigeo Kure
- Tohoku Medical Megabank Organization, Tohoku University
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Takahashi S, Yonekura Y, Tanno K, Shimoda H, Sakata K, Ogawa A, Kobayashi S. Increase in Body Weight Following Residential Displacement: 5-year Follow-up After the 2011 Great East Japan Earthquake and Tsunami. J Epidemiol 2020; 31:328-334. [PMID: 32536638 PMCID: PMC8021881 DOI: 10.2188/jea.je20190333] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Previous studies have linked residential displacement as a result of the 2011 East Japan Earthquake to increases in body weight. However, no study has examined longer-term trajectories of body weight among displaced survivors. We compared body weight change between survivors relocated to temporary housing (TH) group versus other types of accommodation for up to 5 years after the Great East Japan Earthquake. METHODS Longitudinal follow-up was conducted from 2011 to 2015 in a cohort of 9,909 residents of 42,831. We compared trends in body weight in the TH group (n = 3,169) and the non-TH group (n = 6,740) using a mixed linear regression model stratified by sex (mean age, 61.0 years old; male, 38.9%). RESULTS In age-adjusted analysis, the body weight in the 2011 survey was not significantly different between two groups for either sex. In men, the TH group significantly increased body weight compared to the non-TH group since 2012. In women, body weight sharply increased in the TH group while body weight did not change in the non-TH group during survey time points. The interaction of living conditions and survey years was statistically significant in both sexes (men; F-value, 6.958; P < 0.001: women; F-value, 19.127; P < 0.001). CONCLUSION Survivors relocated to temporary housing had an increased risk of weight gain. The weight gain in this group is a potential risk factor for metabolic syndrome in the post-disaster period.
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Affiliation(s)
- Shuko Takahashi
- Division of Medical Education, Iwate Medical University.,Takemi Program in International Health, Harvard T.H. Chan School of Public Health.,Department of Health and Welfare, Iwate Prefecture
| | | | - Kozo Tanno
- Department of Hygiene and Preventive Medicine, School of Medicine, Iwate Medical University
| | - Haruki Shimoda
- Department of Hygiene and Preventive Medicine, School of Medicine, Iwate Medical University
| | - Kiyomi Sakata
- Department of Hygiene and Preventive Medicine, School of Medicine, Iwate Medical University
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