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Yamazaki N, Kiyohara Y, Sato M, Endo S, Song B, Tanaka Y, Kambe A, Sato Y, Uhara H. 407P A post-marketing surveillance of the real-world safety and effectiveness of avelumab in patients with curatively unresectable Merkel cell carcinoma in Japan. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.10.438] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/05/2022] Open
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2
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Iso H, Cui R, Takamoto I, Kiyama M, Saito I, Okamura T, Miyamoto Y, Higashiyama A, Kiyohara Y, Ninomiya T, Yamada M, Nakagawa H, Sakurai M, Shimabukuro M, Higa M, Shimamoto K, Saito S, Daimon M, Kayama T, Noda M, Ito S, Yokote K, Ito C, Nakao K, Yamauchi T, Kadowaki T. Risk Classification for Metabolic Syndrome and the Incidence of Cardiovascular Disease in Japan With Low Prevalence of Obesity: A Pooled Analysis of 10 Prospective Cohort Studies. J Am Heart Assoc 2021; 10:e020760. [PMID: 34796738 PMCID: PMC9075363 DOI: 10.1161/jaha.121.020760] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background It is uncertain whether risk classification under the nationwide program on screening and lifestyle modification for metabolic syndrome captures well high‐risk individuals who could benefit from lifestyle interventions. We examined the validity of risk classification by linking the incidence of cardiovascular disease (CVD). Methods and Results Individual‐level data of 29 288 Japanese individuals aged 40 to 74 years without a history of CVD from 10 prospective cohort studies were used. Metabolic syndrome was defined as the presence of high abdominal obesity and/or overweight plus risk factors such as high blood pressure, high triglyceride or low high‐density lipoprotein cholesterol levels, and high blood glucose levels. The risk categories for lifestyle intervention were information supply only, motivation‐support intervention, and intensive support intervention. Sex‐ and age‐specific hazard ratios and population attributable fractions of CVD, which were also further adjusted to consider non–high density lipoprotein cholesterol levels, were estimated with reference to nonobese/overweight individuals, using Cox proportional hazard regression. Since the reference category included those with risk factors, we set a supernormal group (nonobese/overweight with no risk factor) as another reference. We documented 1023 incident CVD cases (565 men and 458 women). The adjusted CVD risk was 60% to 70% higher in men and women aged 40 to 64 years receiving an intensive support intervention, and 30% higher in women aged 65 to 74 years receiving a motivation‐support intervention, compared with nonobese/overweight individuals. The population attributable fractions in men and women aged 40 to 64 years receiving an intensive support intervention were 17.7% and 6.6%, respectively, while that in women aged 65 to 74 years receiving a motivation‐support intervention was 9.4%. Compared with the supernormal group, nonobese/overweight individuals with risk factors had similar hazard ratios and population attributable fractions as individuals with metabolic syndrome. Conclusions Similar CVD excess and attributable risks among individuals with metabolic syndrome components in the absence and presence of obesity/overweight imply the need for lifestyle modification in both high‐risk groups.
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Affiliation(s)
- Hiroyasu Iso
- Public Health Department of Social Medicine Osaka University Graduate School of Medicine Osaka Japan
| | - Renzhe Cui
- Public Health Department of Social Medicine Osaka University Graduate School of Medicine Osaka Japan
| | - Iseki Takamoto
- Department of Diabetes and Metabolic Diseases Graduate School of Medicine The University of Tokyo Hospital Tokyo Japan.,Department of Diabetes, Metabolism and Endocrinology Ichikawa Hospital International University of Health and Welfare Chiba Japan
| | - Masahiko Kiyama
- Osaka Center for Cancer and Cardiovascular Disease Prevention Osaka Japan
| | - Isao Saito
- Department of Public Health and Epidemiology Faculty of Medicine Oita University Oita Japan
| | - Tomonori Okamura
- Department of Preventive Medicine and Public Health Keio University School of Medicine Tokyo Japan
| | - Yoshihiro Miyamoto
- Preventive Cardiology National Cerebral and Cardiovascular Center Osaka Japan
| | - Aya Higashiyama
- Preventive Cardiology National Cerebral and Cardiovascular Center Osaka Japan
| | - Yutaka Kiyohara
- Hisayama Research Institute for Lifestyle Diseases Fukuoka Japan.,Department of Epidemiology and Public Health Graduate School of Medicine Kyushu University Fukuoka Japan
| | - Toshiharu Ninomiya
- Department of Epidemiology and Public Health Graduate School of Medicine Kyushu University Fukuoka Japan
| | - Michiko Yamada
- Department of Clinical Studies Radiation Effects Research Foundation Hiroshima Japan
| | - Hideaki Nakagawa
- Department of Social and Environmental Medicine Kanazawa Medical University Ishikawa Japan
| | - Masaru Sakurai
- Department of Social and Environmental Medicine Kanazawa Medical University Ishikawa Japan
| | - Michio Shimabukuro
- Department of Diabetes, Endocrinology and Metabolism Fukushima Medical University Fukushima Japan
| | - Moritake Higa
- Diabetes and Life-Style Related Disease Center Tomishiro Central Hospital Okinawa Japan
| | | | | | - Makoto Daimon
- Global Center of Excellence Program Study Group Yamagata University School of Medicine Yamagata Japan.,Department of Endocrinology and Metabolism Hirosaki University Graduate School of Medicine Aomori Japan
| | - Takamasa Kayama
- Department of Advanced Medicine Yamagata University School of Medicine Yamagata Japan
| | - Mitsuhiko Noda
- Department of Diabetes, Metabolism and Endocrinology Ichikawa Hospital International University of Health and Welfare Chiba Japan
| | - Sadayoshi Ito
- Division of Nephrology, Endocrinology and Vascular Medicine Department of Medicine Tohoku University Hospital Miyagi Japan
| | - Koutaro Yokote
- Department of Endocrinology, Hematology and Gerontology Graduate School of Medicine Chiba University Chiba Japan
| | - Chikako Ito
- Grand Tower Medical Court Life Care Clinic Hiroshima Japan
| | - Kazuwa Nakao
- Medical Innovation Center Kyoto University Graduate School of Medicine Kyoto Japan
| | - Toshimasa Yamauchi
- Department of Diabetes and Metabolic Diseases Graduate School of Medicine The University of Tokyo Hospital Tokyo Japan
| | - Takashi Kadowaki
- Department of Diabetes and Metabolic Diseases Graduate School of Medicine The University of Tokyo Hospital Tokyo Japan.,President Tranomon Hospital Tokyo Japan
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3
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Castillo E, Leon J, Mazzei G, Abolhassani N, Haruyama N, Saito T, Saido T, Hokama M, Iwaki T, Ohara T, Ninomiya T, Kiyohara Y, Sakumi K, LaFerla FM, Nakabeppu Y. Author Correction: Comparative profiling of cortical gene expression in Alzheimer's disease patients and mouse models demonstrates a link between amyloidosis and neuroinflammation. Sci Rep 2021; 11:18377. [PMID: 34504282 PMCID: PMC8429626 DOI: 10.1038/s41598-021-97918-9] [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] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Affiliation(s)
- Erika Castillo
- Division of Neurofunctional Genomics, Department of Immunobiology and Neuroscience, Medical Institute of Bioregulation, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan
| | - Julio Leon
- Division of Neurofunctional Genomics, Department of Immunobiology and Neuroscience, Medical Institute of Bioregulation, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan.,Department of Neurology, University of California, San Francisco, San Francisco, CA, 94158, USA
| | - Guianfranco Mazzei
- Division of Neurofunctional Genomics, Department of Immunobiology and Neuroscience, Medical Institute of Bioregulation, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan
| | - Nona Abolhassani
- Division of Neurofunctional Genomics, Department of Immunobiology and Neuroscience, Medical Institute of Bioregulation, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan
| | - Naoki Haruyama
- Division of Neurofunctional Genomics, Department of Immunobiology and Neuroscience, Medical Institute of Bioregulation, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan
| | - Takashi Saito
- Laboratory for Proteolytic Neuroscience, RIKEN Brain Science Institute, Saitama, Japan
| | - Takaomi Saido
- Laboratory for Proteolytic Neuroscience, RIKEN Brain Science Institute, Saitama, Japan
| | - Masaaki Hokama
- Division of Neurofunctional Genomics, Department of Immunobiology and Neuroscience, Medical Institute of Bioregulation, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan.,Department of Neurosurgery, Japan Community Health Care Organization Kyushu Hospital, Kitakyushu, 806-8501, Japan
| | - Toru Iwaki
- Department of Neuropathology, Neurological Institute, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan
| | - Tomoyuki Ohara
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan
| | - Toshiharu Ninomiya
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan
| | - Yutaka Kiyohara
- Hisayama Research Institute for Lifestyle Diseases, Hisayama, Fukuoka, Japan
| | - Kunihiko Sakumi
- Division of Neurofunctional Genomics, Department of Immunobiology and Neuroscience, Medical Institute of Bioregulation, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan
| | - Frank M LaFerla
- Department of Neurobiology and Behavior, University of California, Irvine, CA, 92697, USA
| | - Yusaku Nakabeppu
- Division of Neurofunctional Genomics, Department of Immunobiology and Neuroscience, Medical Institute of Bioregulation, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan.
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4
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Imai Y, Sakurai M, Hideaki N, Hirata A, Murakami Y, Tanaka S, Kiyohara Y, Ninomiya T, Ishikawa S, Saitoh S, Irie F, Sairenchi T, Kiyama M, Miura K, Ueshima H, Okamura T. Abstract MP29: Combined Impact Of Chronic Kidney Disease And Hypertension On Lifetime Risk Of Cardiovascular Disease Death: A Pooled Analysis Of Data From The Evidence For Cardiovascular Prevention From Observational Cohorts In Japan Study. Circulation 2021. [DOI: 10.1161/circ.143.suppl_1.mp29] [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] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Introduction:
Those who are considered to be low risk in short term such as 10 year risk actually have high risk of cardiovascular disease for the remaining lifespan at younger age. Absolute risk of Lifetime risk (LTR) is more useful and understandable for lay audience compared with short term risk or relative risk. CKD (Chronic Kidney Disease) is global burden of cardiovascular disease (CVD) and hypertension is damaging complication of CKD for CVD. To date, there have been no reports of LTR with the outcome of CVD death based on CKD in Asian population.
Hypothesis:
We sought to estimate LTR of CVD death stratified by the status of CKD and hypertension.
Methods:
We used data from EPOCH-JAPAN (Evidence for Cardiovascular Prevention From Observational Cohorts in Japan) which is designed to pool data from nationwide and regional cohort studies in Japan. Modified Kaplan-Meier approach was used to estimate the remaining lifetime risk of cardiovascular death at each index age starting from 40 years according to CKD stratified by Hypertension. Participants were classified into four groups, which were those without CKD and hypertension (CKD-/HT-), those with CKD but without hypertension (CKD+/HT-), those without CKD but with hypertension (CKD-/HT+), and those with both CKD and hypertension (CKD+/HT+).
Results:
A total of 44,582 participants from 8 cohorts was included in the analysis. Mean follow-up period was 14.9 years with 662,488 person years and total CVD death was 1,035 in men and 1,160 in women. The LTRs at the index age of 40 years increased in groups with CKD and/or HT as follows: 12.6% (95% confidence interval: 9.4 - 14.5%) in CKD-/HT- group, 20.6% (11.4 - 25.9%) in CKD+/HT- group, 23.2% (19.9 - 25.2%) in CKD-/HT+ group, and 27.9% (21.7 - 32.9%) in CKD+/HT+ group for men; 11.3%(8.9 - 13.2%), 17.4%(13.2 - 20.4%) , 17.8%(15.3 - 19.8%) , and 22.7%(19.5 - 25.2%) for women.
Conclusions:
We observed that complication of CKD and hypertension are collectively responsible for lifetime risk due to CVD death. Management of blood pressure from an early age is important to reduce CVD mortality in CKD patients.
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Affiliation(s)
| | | | | | | | | | | | - Yutaka Kiyohara
- Hisayama Rsch Institute for Lifestyle Diseases, Fukuoka, Japan
| | | | | | | | | | | | - Masahiko Kiyama
- Osaka Cntr for Cancer and Cardiovascular Disease Prevention, Osaka, Japan
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5
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Imai Y, Sakurai M, Nakagawa H, Hirata A, Murakami Y, Kiyohara Y, Ninomiya T, Ishikawa S, Saitoh S, Irie F, Sairenchi T, Kiyama M, Miura K, Ueshima H, Okamura T. Impact of Proteinuria and Low eGFR on Lifetime Risk of Cardiovascular Disease Death: A Pooled Analysis of Data From the Evidence for Cardiovascular Prevention From Observational Cohorts in Japan Study. Eur J Prev Cardiol 2021. [DOI: 10.1093/eurjpc/zwab061.179] [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: 11/13/2022]
Abstract
Abstract
Funding Acknowledgements
Type of funding sources: Public grant(s) – National budget only. Main funding source(s): H20–Junkankitou [Seishuu]–Ippan–013; H23–Junkankitou [Seishuu]–Ippan–005; H26-Junkankitou [Seisaku]-Ippan-001; H29–Junkankitou–Ippan–003 and 20FA1002
OnBehalf
EPOCH-JAPAN
Introduction
Absolute risk of Lifetime risk (LTR) is useful estimate for risk communication compared with short term risk or relative risk especially for young people. Proteinuria is leading cause of end-stage kidney disease (ESKD) and independent risk factor for cardiovascular disease (CVD). Although nonproteinuric renal disease is global burden of ESKD, it has been poorly focused. To date, there have been no reports of impact of proteinuria and low eGFR on LTR with the outcome of CVD death in Asian population.
Purpose
We aimed to estimate LTR of CVD death stratified by the status of proteinuria and low eGFR.
Methods
We used modified Kaplan-Meier approach to estimate the remaining lifetime risk of cardiovascular death based on EPOCH-JAPAN(Evidence for Cardiovascular Prevention From Observational Cohorts in Japan) database. LTR was estimated at each index age starting from 40 years for those with proteinuria and without proteinuria stratified by low eGFR, which is defined as eGFR <60 ml/min/1.73 m². Participants were classified into three groups, which were those with proteinuria (Proteinuria (+)), those without proteinuria with low eGFR (Proteinuria (-)/Low eGFR (+)), those without proteinuria without low eGFR (Proteinuria (-)/Low eGFR (-)).
Results
A total of 47,292 participants from 9 cohorts was included in the analysis. Mean follow-up period was 14.6 years with 690,463 person years and total CVD death was 1,075 in men and 1,193 in women. The LTRs at the index age of 40 years were as follows: 17.7% (95% confidence interval: 15.4 – 19.0%) in Proteinuria (-)/Low eGFR (-) group, 26.2% (20.2 – 31.1%) in Proteinuria (-)/low eGFR (+) group, 24.5% (15.1 – 29.3%) in Proteinuria (+) group for men; 15.3%(13.7 – 16.5%), 29.9%(14.7 – 46.8%) , 28.3%(19.4 – 34.7%) for women.
Conclusions
We observed that those without proteinuria with low eGFR have equivalently high LTR with those with proteinuria. These results indicate that even in the absence of proteinuria, low eGFR has high impact on LTR. Lifestyle modification from young age is necessary to prevent from renal dysfunction.
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Affiliation(s)
- Y Imai
- Keio University School of Medicine, Tokyo, Japan
| | - M Sakurai
- Kanazawa Medical University, Department of Epidemiology and Public Health, Kanazawa, Japan
| | - H Nakagawa
- Kanazawa Medical University, Department of Epidemiology and Public Health, Kanazawa, Japan
| | - A Hirata
- Keio University School of Medicine, Tokyo, Japan
| | - Y Murakami
- Toho University, Department of Medical Statistics, Tokyo, Japan
| | - Y Kiyohara
- Hisayama Research Institute for Lifestyle Disease, Fukuoka, Japan
| | - T Ninomiya
- Kyushu University Graduate School of Medical Sciences, Department of Epidemiology and Public Health, Fukuoka, Japan
| | - S Ishikawa
- Jichi Medical University, Medical Education Center, Tochigi, Japan
| | - S Saitoh
- Sapporo Medical University School of Health Sciences, Department of Nursing, Hokkaido, Japan
| | - F Irie
- Ibaraki Prefectural Office, Department of Health and Welfare, Ibaraki, Japan
| | - T Sairenchi
- Dokkyo Medical University School of Medicine, Department of Public Health, Tochigi, Japan
| | - M Kiyama
- Osaka Medical Center for Cancer and Cardiovascular Diseases, Osaka, Japan
| | - K Miura
- Shiga University of Medical Science, Department of Public Health, Shiga, Japan
| | - H Ueshima
- Shiga University of Medical Science, Department of Public Health, Shiga, Japan
| | - T Okamura
- Keio University School of Medicine, Tokyo, Japan
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6
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Ninomiya T, Nakaji S, Maeda T, Yamada M, Mimura M, Nakashima K, Mori T, Takebayashi M, Ohara T, Hata J, Kokubo Y, Uchida K, Taki Y, Kumagai S, Yonemoto K, Yoshida H, Muto K, Momozawa Y, Akiyama M, Kubo M, Ikeda M, Kanba S, Kiyohara Y. Study design and baseline characteristics of a population-based prospective cohort study of dementia in Japan: the Japan Prospective Studies Collaboration for Aging and Dementia (JPSC-AD). Environ Health Prev Med 2020; 25:64. [PMID: 33129280 PMCID: PMC7603740 DOI: 10.1186/s12199-020-00903-3] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [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: 08/13/2020] [Accepted: 10/06/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The burden of dementia is growing rapidly and has become a medical and social problem in Japan. Prospective cohort studies have been considered an effective methodology to clarify the risk factors and the etiology of dementia. We aimed to perform a large-scale dementia cohort study to elucidate environmental and genetic risk factors for dementia, as well as their interaction. METHODS The Japan Prospective Studies Collaboration for Aging and Dementia (JPSC-AD) is a multisite, population-based prospective cohort study of dementia, which was designed to enroll approximately 10,000 community-dwelling residents aged 65 years or older from 8 sites in Japan and to follow them up prospectively for at least 5 years. Baseline exposure data, including lifestyles, medical information, diets, physical activities, blood pressure, cognitive function, blood test, brain magnetic resonance imaging (MRI), and DNA samples, were collected with a pre-specified protocol and standardized measurement methods. The primary outcome was the development of dementia and its subtypes. The diagnosis of dementia was adjudicated by an endpoint adjudication committee using standard criteria and clinical information according to the Diagnostic and Statistical Manual of Mental Disorders, 3rd Revised Edition. For brain MRI, three-dimensional acquisition of T1-weighted images was performed. Individual participant data were pooled for data analyses. RESULTS The baseline survey was conducted from 2016 to 2018. The follow-up surveys are ongoing. A total of 11,410 individuals aged 65 years or older participated in the study. The mean age was 74.4 years, and 41.9% were male. The prevalence of dementia at baseline was 8.5% in overall participants. However, it was 16.4% among three sites where additional home visit and/or nursing home visit surveys were performed. Approximately two-thirds of dementia cases at baseline were Alzheimer's disease. CONCLUSIONS The prospective cohort data from the JPSC-AD will provide valuable insights regarding the risk factors and etiology of dementia as well as for the development of predictive models and diagnostic markers for the future onset of dementia. The findings of this study will improve our understanding of dementia and provide helpful information to establish effective preventive strategies for dementia in Japan.
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Affiliation(s)
- Toshiharu Ninomiya
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan.
| | - Shigeyuki Nakaji
- Department of Social Medicine, Graduate School of Medicine, Hirosaki University, Hirosaki, Japan
| | - Tetsuya Maeda
- Division of Neurology and Gerontology, Department of Internal Medicine, School of Medicine, Iwate Medical University, Morioka, Japan
| | - Masahito Yamada
- Department of Neurology and Neurobiology of Aging, Kanazawa University Graduate School of Medical Sciences, Kanazawa, Japan
| | - Masaru Mimura
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Kenji Nakashima
- National Hospital Organization, Matsue Medical Center, Matsue, Japan
| | - Takaaki Mori
- Department of Neuropsychiatry, Neuroscience Ehime University Graduate School of Medicine, Ehime, Japan
| | - Minoru Takebayashi
- Department of Neuropsychiatry, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan
| | - Tomoyuki Ohara
- Department of Neuropsychiatry, Graduate School of Medical Science, Kyushu University, Fukuoka, Japan
| | - Jun Hata
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan
| | - Yoshihiro Kokubo
- Department of Preventive Cardiology, National Cerebral and Cardiovascular Center, Suita, Japan
| | - Kazuhiro Uchida
- Department of Health Promotion, School of Health and Nutrition Sciences, Nakamura-Gakuen University, Fukuoka, Japan
| | - Yasuyuki Taki
- Department of Nuclear Medicine and Radiology, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | | | - Koji Yonemoto
- Division of Biostatistics, School of Health Sciences, Faculty of Medicine, University of the Ryukyus, Nishihara, Japan
| | - Hisako Yoshida
- Department of Medical Statistics, Osaka City University Graduate School of Medicine, Osaka, Japan
| | - Kaori Muto
- Department of Public Policy, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Yukihide Momozawa
- Laboratory for Genotyping Development, RIKEN Center for Integrative Medical Sciences, Saitama, Japan
| | - Masato Akiyama
- Department of Ocular Pathology and Imaging Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Michiaki Kubo
- Hisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan
| | - Manabu Ikeda
- Department of Psychiatry, Osaka University Medical School, Suita, Japan
| | - Shigenobu Kanba
- Department of Neuropsychiatry, Graduate School of Medical Science, Kyushu University, Fukuoka, Japan
| | - Yutaka Kiyohara
- Hisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan
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7
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Shibata M, Ninomiya T, Anno K, Kawata H, Iwaki R, Sawamoto R, Kubo C, Kiyohara Y, Sudo N, Hosoi M. Parenting style during childhood is associated with the development of chronic pain and a patient's need for psychosomatic treatment in adulthood: A case-control study. Medicine (Baltimore) 2020; 99:e21230. [PMID: 32702896 PMCID: PMC7373500 DOI: 10.1097/md.0000000000021230] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [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: 01/05/2023] Open
Abstract
The aim of this study is to investigate the relation between parenting style and chronic pain and the patients' need for psychosomatic treatment in adulthood.We compared 4 combinations of 2 parenting style subscales, high and low care and overprotection, among the following 4 age- and sex-matched groups: community-dwelling subjects without chronic pain (n = 100), community-dwelling subjects with chronic pain (n = 100), outpatients with chronic pain (n = 50), and inpatients with chronic pain (n = 50). Parenting style was assessed for both the mother and father by use of the Parental Bonding Instrument questionnaire. The parenting style associated with the worst outcome was defined as both low care and high overprotection, as reported in previous studies.The frequency of reported adverse parenting style was significantly higher among chronic pain patients than community-dwelling subjects without chronic pain (all P < .05). The odds ratios for an adverse parenting style significantly increased through the categories after adjusting for demographic factors and the pain visual analog scale (P for trend <.01).These findings suggest that parental low care and high overprotection during childhood contribute to the future risk of chronic pain and the patients' need for psychosomatic treatment in adulthood.
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Affiliation(s)
- Mao Shibata
- Department of Psychosomatic Medicine, Kyushu University Hospital
- Department of Epidemiology and Public Health
- Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University
| | - Toshiharu Ninomiya
- Department of Epidemiology and Public Health
- Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University
| | - Kozo Anno
- Department of Psychosomatic Medicine, Kyushu University Hospital
| | - Hiroshi Kawata
- Department of Psychosomatic Medicine, Kyushu University Hospital
| | - Rie Iwaki
- Department of Psychosomatic Medicine, Kyushu University Hospital
| | - Ryoko Sawamoto
- Department of Psychosomatic Medicine, Kyushu University Hospital
| | | | | | - Nobuyuki Sudo
- Department of Psychosomatic Medicine, Kyushu University Hospital
- Department of Psychosomatic Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Masako Hosoi
- Department of Psychosomatic Medicine, Kyushu University Hospital
- Department of Psychosomatic Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
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8
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Yokota K, Isei T, Uhara H, Fujisawa Y, Takenouchi T, Kiyohara Y, Uchi H, Saruta H, Ihn H, Inozume T, Watanabe D, Takahashi A, Fukushima S, Tanaka M, Yamazaki N. Final results from phase II of combination with canerpaturev (formerly HF10), an oncolytic viral immunotherapy, and ipilimumab in unresectable or metastatic melanoma in second-or later line treatment. Ann Oncol 2019. [DOI: 10.1093/annonc/mdz255.053] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
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9
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Yamazaki N, Kikuchi K, Nozawa K, Fukuda H, Shibata T, Hamaguchi T, Takashima A, Shoji H, Boku N, Takatsuka S, Takenouchi T, Nishina T, Hino K, Yoshikawa S, Yamazaki K, Takahashi M, Hasegawa A, Bando H, Masuishi T, Kiyohara Y. Primary analysis results of randomized controlled trial evaluating reactive topical corticosteroid strategies for the facial acneiform rash by EGFR inhibitors (EGFRIs) in patients (pts) with RAS wild-type (wt) metastatic colorectal cancer (mCRC): FAEISS study. Ann Oncol 2019. [DOI: 10.1093/annonc/mdz394.090] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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10
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Kageyama S, Takeshita T, Takeuchi K, Asakawa M, Matsumi R, Furuta M, Shibata Y, Nagai K, Ikebe M, Morita M, Masuda M, Toh Y, Kiyohara Y, Ninomiya T, Yamashita Y. Characteristics of the Salivary Microbiota in Patients With Various Digestive Tract Cancers. Front Microbiol 2019; 10:1780. [PMID: 31428073 PMCID: PMC6688131 DOI: 10.3389/fmicb.2019.01780] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [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: 03/26/2019] [Accepted: 07/18/2019] [Indexed: 12/26/2022] Open
Abstract
The salivary microbiota is constantly swallowed and delivered to the digestive tract. These bacteria may be associated with gastrointestinal diseases. This case-control study examined the salivary microbiota in patients with digestive tract cancer (DTC) and evaluated their differential distribution based on the cancer sites. We collected saliva samples from 59 patients with cancer in any part of the digestive tract (tongue/pharynx, esophagus, stomach, and large intestine) and from 118 age- and sex-matched control subjects. There was no significant difference in periodontal status between DTC patients and control subjects (P = 0.72). We examined the bacterial diversity and composition in saliva by 16S ribosomal RNA gene sequencing. Salivary bacterial diversity in DTC patients was significantly higher than that in control subjects [number of operational taxonomic units (OTUs), P = 0.02; Shannon index, P < 0.01; Chao1, P = 0.04]. Eleven differentially abundant OTUs in DTC patients were identified using the linear discriminant analysis effect size (LEfSe) method. Based on the cancer sites, the diversity of salivary bacteria was especially higher in tongue/pharyngeal or esophageal cancer patients than in control subjects. Among the 11 differentially abundant OTUs in DTC patients, an OTU corresponding to Porphyromonas gingivalis was more abundant in the saliva of all groups of DTC patients compared to that in control subjects, and an OTU corresponding to Corynebacterium species was more abundant in all groups other than gastric cancer patients (P < 0.01). In addition, the relative abundances of OTUs corresponding to Fusobacterium nucleatum, Streptococcus parasanguinis II, and Neisseria species were significantly higher in tongue/pharyngeal cancer patients compared to their abundances in control subjects (P < 0.01). The relative abundance of an OTU corresponding to the Neisseria species was also significantly higher in gastric cancer patients and that of an OTU corresponding to Actinomyces odontolyticus was significantly higher in colorectal cancer patients (P < 0.01). These results suggest that the salivary microbiota might be associated with various digestive tract cancers.
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Affiliation(s)
- Shinya Kageyama
- Section of Preventive and Public Health Dentistry, Division of Oral Health, Growth and Development, Faculty of Dental Science, Kyushu University, Fukuoka, Japan
| | - Toru Takeshita
- Section of Preventive and Public Health Dentistry, Division of Oral Health, Growth and Development, Faculty of Dental Science, Kyushu University, Fukuoka, Japan.,OBT Research Center, Faculty of Dental Science, Kyushu University, Fukuoka, Japan
| | - Kenji Takeuchi
- Section of Preventive and Public Health Dentistry, Division of Oral Health, Growth and Development, Faculty of Dental Science, Kyushu University, Fukuoka, Japan
| | - Mikari Asakawa
- Section of Preventive and Public Health Dentistry, Division of Oral Health, Growth and Development, Faculty of Dental Science, Kyushu University, Fukuoka, Japan
| | - Rie Matsumi
- Section of Preventive and Public Health Dentistry, Division of Oral Health, Growth and Development, Faculty of Dental Science, Kyushu University, Fukuoka, Japan
| | - Michiko Furuta
- Section of Preventive and Public Health Dentistry, Division of Oral Health, Growth and Development, Faculty of Dental Science, Kyushu University, Fukuoka, Japan
| | - Yukie Shibata
- Section of Preventive and Public Health Dentistry, Division of Oral Health, Growth and Development, Faculty of Dental Science, Kyushu University, Fukuoka, Japan
| | - Kiyoshi Nagai
- Department of Oral and Maxillofacial Surgery, National Hospital Organization Kyushu Cancer Center, Fukuoka, Japan
| | - Masahiko Ikebe
- Department of Gastroenterological Surgery, National Hospital Organization Kyushu Cancer Center, Fukuoka, Japan
| | - Masaru Morita
- Department of Gastroenterological Surgery, National Hospital Organization Kyushu Cancer Center, Fukuoka, Japan
| | - Muneyuki Masuda
- Department of Head and Neck Surgery, National Hospital Organization Kyushu Cancer Center, Fukuoka, Japan
| | - Yasushi Toh
- Department of Gastroenterological Surgery, National Hospital Organization Kyushu Cancer Center, Fukuoka, Japan
| | - Yutaka Kiyohara
- Hisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan
| | - Toshiharu Ninomiya
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Yoshihisa Yamashita
- Section of Preventive and Public Health Dentistry, Division of Oral Health, Growth and Development, Faculty of Dental Science, Kyushu University, Fukuoka, Japan
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11
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Yoshida D, Ohara T, Hata J, Shibata M, Hirakawa Y, Honda T, Uchida K, Takasugi S, Kitazono T, Kiyohara Y, Ninomiya T. Dairy consumption and risk of functional disability in an elderly Japanese population: the Hisayama Study. Am J Clin Nutr 2019; 109:1664-1671. [PMID: 31075788 DOI: 10.1093/ajcn/nqz040] [Citation(s) in RCA: 10] [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: 08/20/2018] [Accepted: 02/26/2019] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Little is known about the association between dairy intake and risk of functional disability in the elderly. OBJECTIVES We examined the influence of dairy intake on the development of declining functional capacity and activities of daily living (ADL) in a prospective cohort study of an elderly population. METHODS A total of 859 community-dwelling Japanese residents, aged ≥65 y without functional disability, were followed up for 7 y. Functional capacity impairment was defined as a Tokyo Metropolitan Institute of Gerontology Index of Competence score of ≤12, and ADL disability was defined as a Barthel Index score of ≤95. Dairy intake was evaluated using a 150-item semiquantitative food frequency questionnaire, grouped into quartiles. The RR of dairy intake on incident functional disability was computed using a Poisson regression model. RESULTS The multivariable-adjusted RR of impaired functional capacity decreased significantly with increasing dairy intake levels (RR [95% CI]: quartile 1, 1.00 [reference]; quartile 2, 0.85 [0.71, 1.02]; quartile 3, 0.81 [0.68, 0.98]; and quartile 4, 0.74 [0.61, 0.90]; P-trend = 0.001). Regarding the three subscales of functional capacity, the inverse association between dairy intake and risk for impairment of intellectual activity and social role remained significant (P-trend = 0.0009 and 0.02, respectively), but such an association was not observed for instrumental ADL. The multivariable-adjusted risk of ADL disability also decreased weakly but significantly with elevating dairy intake (P-trend = 0.04). A similar association was seen for severity of functional disability (P-trend = 0.002). However, the magnitude of these associations was attenuated after further adjustment for protein intake. CONCLUSION Our findings suggest that higher dairy intake is associated with a lower risk of functional disability and its progression in the elderly, probably via an increase in protein intake.
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Affiliation(s)
- Daigo Yoshida
- Department of Epidemiology and Public Health, Fukuoka, Japan
| | | | - Jun Hata
- Department of Epidemiology and Public Health, Fukuoka, Japan
| | | | - Yoichiro Hirakawa
- Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Takanori Honda
- Department of Epidemiology and Public Health, Fukuoka, Japan
| | - Kazuhiro Uchida
- Department of Health Promotion, School of Health and Nutrition Sciences, Nakamura-Gakuen University, Fukuoka, Japan
| | | | - Takanari Kitazono
- Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Yutaka Kiyohara
- Hisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan
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12
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Satoh M, Ohkubo T, Asayama K, Murakami Y, Sugiyama D, Yamada M, Saitoh S, Sakata K, Irie F, Sairenchi T, Ishikawa S, Kiyama M, Ohnishi H, Miura K, Imai Y, Ueshima H, Okamura T, Iso H, Kitamura A, Ninomiya T, Kiyohara Y, Nakagawa H, Nakayama T, Okayama A, Tamakoshi A, Tsuji I, Miyamoto Y, Yatsuya H. Lifetime Risk of Stroke and Coronary Heart Disease Deaths According to Blood Pressure Level. Hypertension 2019; 73:52-59. [DOI: 10.1161/hypertensionaha.118.11635] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
Lifetime risk (LTR) provides an absolute risk assessment during the remainder of one’s life. Few studies have focused on the LTRs of stroke and coronary heart disease (CHD), categorized by fine blood pressure in Asian populations. We aimed to assess it using a large database of a meta-analysis with the individual participant data. The present meta-analysis included 107 737 Japanese (42.4% men; mean age, 55.1 years) from 13 cohorts. During the mean follow-up of 15.2±5.3 years (1 559 136 person-years), 1922 died from stroke and 913 from CHD. We estimated risks after adjusting for competing risk of death other than the outcome of interest. The 10-year risk of stroke and CHD deaths at index age of 35 years was ≤1.9% and ≤0.3%, respectively. The LTRs of stroke death at the index age of 35 years (men/women) were 6.1%/4.8% for optimal, 5.7%/6.3% for normal, and 6.6%/6.0% for high-normal blood pressure groups, and 9.1%/7.9% for grade 1, 14.5%/10.3% for grade 2, and 14.6%/14.3% for grade 3 hypertension groups. The LTRs of CHD death similarly elevated with an increase in blood pressure but were lower (≤7.2%) than those of stroke death. In conclusion, blood pressure was clearly associated with an elevated LTR of stroke or CHD death, although the LTR of CHD death was one-half of that of stroke death in an Asian population. These results would help young people with hypertension to adopt a healthy lifestyle or start antihypertensive therapy early.
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Affiliation(s)
- Michihiro Satoh
- From the Division of Public Health, Hygiene, and Epidemiology, Tohoku Medical and Pharmaceutical University, Sendai (M.S.)
| | - Takayoshi Ohkubo
- Department of Hygiene and Public Health, Teikyo University School of Medicine, Tokyo (T. Ohkubo, K.A.)
- Tohoku Institute for Management of Blood Pressure, Sendai (T. Ohkubo, K.A., Y.I.)
| | - Kei Asayama
- Department of Hygiene and Public Health, Teikyo University School of Medicine, Tokyo (T. Ohkubo, K.A.)
- Tohoku Institute for Management of Blood Pressure, Sendai (T. Ohkubo, K.A., Y.I.)
| | - Yoshitaka Murakami
- Department of Medical Statistics, Toho University School of Medicine, Tokyo, Japan (Y.M.)
| | - Daisuke Sugiyama
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo (D.S., T. Okamura)
| | - Michiko Yamada
- Department of Clinical Studies, Radiation Effects Research Foundation, Hiroshima, Japan (M.Y.)
| | - Shigeyuki Saitoh
- Division of Medical and Behavioral Subjects, Sapporo Medical University School of Health Sciences, Japan (S.S.)
| | - Kiyomi Sakata
- Department of Hygiene and Preventive Medicine, Iwate Medical University School of Medicine, Japan (K.S.)
| | - Fujiko Irie
- Department of Health and Welfare, Ibaraki Prefectural Office, Mito, Japan (F.I.)
| | - Toshimi Sairenchi
- Department of Public Health, Dokkyo Medical University School of Medicine, Shimotsugagun-Mibu, Japan (T.S.)
| | - Shizukiyo Ishikawa
- Medical Education Center, Jichi Medical University, Shimotsuke, Tochigi, Japan (S.I.)
| | - Masahiko Kiyama
- Osaka Center for Cancer and Cardiovascular Disease Prevention, Japan (M.K.)
| | - Hirofumi Ohnishi
- Department of Public Health, Sapporo Medical University School of Medicine, Japan (H.O.)
| | - Katsuyuki Miura
- Department of Public Health, Shiga University of Medical Science, Otsu, Japan (K.M., H.U.)
- Center for Epidemiologic Research in Asia, Shiga University of Medical Science, Otsu, Japan (K.M., H.U.)
| | - Yutaka Imai
- Tohoku Institute for Management of Blood Pressure, Sendai (T. Ohkubo, K.A., Y.I.)
| | - Hirotsugu Ueshima
- Department of Public Health, Shiga University of Medical Science, Otsu, Japan (K.M., H.U.)
- Center for Epidemiologic Research in Asia, Shiga University of Medical Science, Otsu, Japan (K.M., H.U.)
| | - Tomonori Okamura
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo (D.S., T. Okamura)
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13
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Isei T, Yokota K, Uhara H, Fujisawa Y, Takenouchi T, Kiyohara Y, Uchi H, Saruta H, Ihn H, Inozume T, Watanabe D, Takahashi A, Fukushima S, Tanaka M, Yamazaki N. Topline results from phase II of combination treatment with canerpaturev (HF10), an oncolytic viral immunotherapy, and ipilimumab in patients with unresectable or metastatic melanoma after anti-PD-1 therapy. Ann Oncol 2018. [DOI: 10.1093/annonc/mdy289.023] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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14
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Ukawa S, Tamakoshi A, Murakami Y, Kiyohara Y, Yamada M, Nagai M, Satoh A, Miura K, Ueshima H, Okamura T, EPOCH-JAPAN Research Group. Pooled Analysis of the Associations between Body Mass Index, Total Cholesterol, and Liver Cancer-related Mortality in Japan. Asian Pac J Cancer Prev 2018; 19:2089-2095. [PMID: 30139206 PMCID: PMC6171377 DOI: 10.22034/apjcp.2018.19.8.2089] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Objective: We employed a large-scale pooled analysis to investigate the association of liver cancer-related
mortality with being overweight/obese and total cholesterol (TC) levels, since limited and inconsistent data on these
associations exist in Japan. Methods: A total of 59,332 participants (23,853 men and 35,479 women) from 12 cohorts
without a history of cancer who were followed for a median of 14.3 years were analyzed. A sex-specific stratified
Cox proportional hazards model adjusted for age and other potential confounders was used to calculate hazard ratios
(HRs) and 95% confidence intervals (CI) for liver cancer-related mortality. Results: A total of 447 participants
(266 men and 181 women) died of liver cancer within the follow-up period. Individuals classified as having a high
BMI (≥25.0 kg/m2) and low TC levels (<160 mg/dL) had a significantly increased risk for liver cancer-related
mortality (HR 7.05, 95% CI 4.41–11.26 in men; HR 8.07, 95% CI 4.76–13.67 in women) when compared with those
in the intermediate BMI (18.5–24.9 kg/m2) and TC (160–219 mg/dL) categories. These associations remained after
limiting the follow-up duration to >5 years. Conclusion: Being overweight/obese, combined with low TC levels, was
strongly associated with liver cancer-related mortality in the EPOCH-JAPAN.
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Affiliation(s)
- Shigekazu Ukawa
- Department of Public Health, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Hokkaido, Japan.,Research Unit of Advanced Interdisciplinary Care Science, Osaka City University Graduate School of Human Life Science, Osaka, Japan.
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15
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Fujiwara K, Yasuda M, Hata J, Oshima Y, Hashimoto S, Yoshitomi T, Kiyohara Y, Ishibashi T, Ninomiya T, Sonoda KH. Prevalence and Risk Factors for Polypoidal Choroidal Vasculopathy in a General Japanese Population: The Hisayama Study. Semin Ophthalmol 2018; 33:813-819. [PMID: 30084710 DOI: 10.1080/08820538.2018.1506483] [Citation(s) in RCA: 12] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
Abstract
PURPOSE To estimate the prevalence and risk factors for polypoidal choroidal vasculopathy (PCV) in a general Japanese population. METHODS This population-based, cross-sectional study was conducted in 2007 with subjects from the Hisayama Study. Of the 3,648 residents in Hisayama, Japan, 2,663 who were ≥ 50 years old were enrolled in this study. The characteristics of PCV were determined by fundus examination or based on indocyanine green and fluorescein angiographic findings. We evaluated the contributions of the risk factors for PCV. RESULTS Among the 207 participants with age-related macular degeneration (AMD), 174 (6.5%) had early AMD, and 33 (1.2%) had late AMD, including 10 participants with PCV (0.4%). Male and smoking habit were significant risk factors for the development of PCV. CONCLUSIONS The prevalence of PCV is higher among Japanese subjects than Caucasians in Western countries. Male gender and smoking habit were significant risk factors for PCV in a general Japanese population.
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Affiliation(s)
- Kohta Fujiwara
- a Department of Epidemiology and Public Health , Graduate School of Medical Sciences, Kyushu University , Fukuoka , Japan.,b Department of Ophthalmology, Graduate School of Medical Sciences , Kyushu University , Fukuoka , Japan.,c Department of Ophthalmology, Graduate School of Medical Sciences , Akita University , Akita , Japan
| | - Miho Yasuda
- b Department of Ophthalmology, Graduate School of Medical Sciences , Kyushu University , Fukuoka , Japan
| | - Jun Hata
- a Department of Epidemiology and Public Health , Graduate School of Medical Sciences, Kyushu University , Fukuoka , Japan.,d Center for Cohort Studies, Graduate School of Medical Sciences , Kyushu University , Fukuoka , Japan
| | - Yuji Oshima
- b Department of Ophthalmology, Graduate School of Medical Sciences , Kyushu University , Fukuoka , Japan
| | - Sawako Hashimoto
- a Department of Epidemiology and Public Health , Graduate School of Medical Sciences, Kyushu University , Fukuoka , Japan.,b Department of Ophthalmology, Graduate School of Medical Sciences , Kyushu University , Fukuoka , Japan
| | - Takeshi Yoshitomi
- c Department of Ophthalmology, Graduate School of Medical Sciences , Akita University , Akita , Japan
| | - Yutaka Kiyohara
- e Hisayama Research Institute for Lifestyle Diseases , Fukuoka , Japan
| | - Tatsuro Ishibashi
- b Department of Ophthalmology, Graduate School of Medical Sciences , Kyushu University , Fukuoka , Japan
| | - Toshiharu Ninomiya
- a Department of Epidemiology and Public Health , Graduate School of Medical Sciences, Kyushu University , Fukuoka , Japan.,d Center for Cohort Studies, Graduate School of Medical Sciences , Kyushu University , Fukuoka , Japan
| | - Koh-Hei Sonoda
- b Department of Ophthalmology, Graduate School of Medical Sciences , Kyushu University , Fukuoka , Japan
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16
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Shibata Y, Ojima T, Nakamura M, Kuwabara K, Miyagawa N, Saito Y, Nakamura Y, Kiyohara Y, Nakagawa H, Fujiyoshi A, Kadota A, Ohkubo T, Okamura T, Ueshima H, Okayama A, Miura K. Associations of Overweight, Obesity, and Underweight With High Serum Total Cholesterol Level Over 30 Years Among the Japanese Elderly: NIPPON DATA 80, 90, and 2010. J Epidemiol 2018; 29:133-138. [PMID: 30033957 PMCID: PMC6414806 DOI: 10.2188/jea.je20170229] [Citation(s) in RCA: 4] [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: 12/31/2022] Open
Abstract
Background The trend of association between overweight and high serum total cholesterol (TC) among the elderly is unclear. In addition, there is little evidence of risk of underweight for high TC. Therefore, we examined the trend of association of overweight or underweight with high TC among Japanese elderly people using nationwide population-based data. Methods Data of the National Survey on Circulatory Disorders and National Health and Nutrition Survey for 1980, 1990, 2000, and 2010 were used in the analysis. High TC was defined as 220 mg/dL and above. For participants aged ≥50 years, sex-specific odds ratios (ORs) of overweight or underweight compared with normal body mass index participants for high TC were calculated using a logistic regression model adjusted for age, smoking, drinking, exercise, food, and treatment of hyperlipidemia. Results A total of 5,734, 4,673, 5,059, and 2,105 participants enrolled in these surveys in 1980, 1990, 2000, and 2010, respectively. Although overweight was positively and significantly associated with high TC in 1980, the association has gradually weakened since (ORs in 1980 and 2010 were 2.44; 95% confidence interval [CI], 1.83–3.24 and 0.92; 95% CI, 0.66–1.27 among men and 1.43; 95% CI, 1.18–1.72 and 1.08; 95% CI, 0.81–1.44 among women, respectively). While underweight was inversely and significantly associated with high TC in 1980, the association also gradually weakened among women (ORs in 1980 and 2010 were 0.28; 95% CI, 0.12–0.60 and 0.37; 95% CI, 0.10–1.28 among men and 0.39; 95% CI, 0.26–0.57 and 0.96; 95% CI, 0.58–1.57 among women, respectively). Conclusions These findings provide evidence that high TC prevention efforts must expand the target to not only overweight but also to normal and underweight people.
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Affiliation(s)
- Yosuke Shibata
- Department of Community Health and Preventive Medicine, Hamamatsu University School of Medicine
| | - Toshiyuki Ojima
- Department of Community Health and Preventive Medicine, Hamamatsu University School of Medicine
| | - Mieko Nakamura
- Department of Community Health and Preventive Medicine, Hamamatsu University School of Medicine
| | - Kazuyo Kuwabara
- Department of Preventive Medicine and Public Health, Keio University School of Medicine
| | - Naoko Miyagawa
- Department of Public Health, Shiga University of Medical Science
| | - Yoshino Saito
- Department of Public Health, Shiga University of Medical Science
| | | | | | | | - Akira Fujiyoshi
- Department of Public Health, Shiga University of Medical Science
| | - Aya Kadota
- Department of Public Health, Shiga University of Medical Science.,Center for Epidemiologic Research in Asia, Shiga University of Medical Science
| | - Takayoshi Ohkubo
- Department of Hygiene and Public Health, Teikyo University School of Medicine
| | - Tomonori Okamura
- Department of Preventive Medicine and Public Health, Keio University School of Medicine
| | - Hirotsugu Ueshima
- Center for Epidemiologic Research in Asia, Shiga University of Medical Science
| | | | - Katsuyuki Miura
- Department of Public Health, Shiga University of Medical Science
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17
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Umehara K, Mukai N, Kitazono T, Hoka S, Kiyohara Y, Ninomiya T. Serum 1,25-Dihydroxyvitamin D Level Is Inappropriate for Use in Prospective Studies of Cancer Incidence - Reply. Circ J 2018; 82:2216. [PMID: 29998920 DOI: 10.1253/circj.cj-17-0909] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Kaoru Umehara
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University.,Department of Anesthesiology and Critical Care Medicine, Graduate School of Medical Sciences, Kyushu University
| | - Naoko Mukai
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University
| | - Takanari Kitazono
- Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University
| | - Sumio Hoka
- Department of Anesthesiology and Critical Care Medicine, Graduate School of Medical Sciences, Kyushu University
| | | | - Toshiharu Ninomiya
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University
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18
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Gnatiuc L, Herrington WG, Halsey J, Tuomilehto J, Fang X, Kim HC, De Bacquer D, Dobson AJ, Criqui MH, Jacobs DR, Leon DA, Peters SAE, Ueshima H, Sherliker P, Peto R, Collins R, Huxley RR, Emberson JR, Woodward M, Lewington S, Aoki N, Arima H, Arnesen E, Aromaa A, Assmann G, Bachman DL, Baigent C, Bartholomew H, Benetos A, Bengtsson C, Bennett D, Björkelund C, Blackburn H, Bonaa K, Boyle E, Broadhurst R, Carstensen J, Chambless L, Chen Z, Chew SK, Clarke R, Cox C, Curb JD, D'Agostino R, Date C, Davey Smith G, De Backer G, Dhaliwal SS, Duan XF, Ducimetiere P, Duffy S, Eliassen H, Elwood P, Empana J, Garcia-Palmieri MH, Gazes P, Giles GG, Gillis C, Goldbourt U, Gu DF, Guasch-Ferre M, Guize L, Haheim L, Hart C, Hashimoto S, Hashimoto T, Heng D, Hjermann I, Ho SC, Hobbs M, Hole D, Holme I, Horibe H, Hozawa A, Hu F, Hughes K, Iida M, Imai K, Imai Y, Iso H, Jackson R, Jamrozik K, Jee SH, Jensen G, Jiang CQ, Johansen NB, Jorgensen T, Jousilahti P, Kagaya M, Keil J, Keller J, Kim IS, Kita Y, Kitamura A, Kiyohara Y, Knekt P, Knuiman M, Kornitzer M, Kromhout D, Kronmal R, Lam TH, Law M, Lee J, Leren P, Levy D, Li YH, Lissner L, Luepker R, Luszcz M, MacMahon S, Maegawa H, Marmot M, Matsutani Y, Meade T, Morris J, Morris R, Murayama T, Naito Y, Nakachi K, Nakamura M, Nakayama T, Neaton J, Nietert PJ, Nishimoto Y, Norton R, Nozaki A, Ohkubo T, Okayama A, Pan WH, Puska P, Qizilbash N, Reunanen A, Rimm E, Rodgers A, Saitoh S, Sakata K, Sato S, Schnohr P, Schulte H, Selmer R, Sharp D, Shifu X, Shimamoto K, Shipley M, Silbershatz H, Sorlie P, Sritara P, Suh I, Sutherland SE, Sweetnam P, Tamakoshi A, Tanaka H, Thomsen T, Tominaga S, Tomita M, Törnberg S, Tunstall-Pedoe H, Tverdal A, Ueshima H, Vartiainen E, Wald N, Wannamethee SG, Welborn TA, Whincup P, Whitlock G, Willett W, Woo J, Wu ZL, Yao SX, Yarnell J, Yokoyama T, Yoshiike N, Zhang XH. Sex-specific relevance of diabetes to occlusive vascular and other mortality: a collaborative meta-analysis of individual data from 980 793 adults from 68 prospective studies. Lancet Diabetes Endocrinol 2018; 6:538-546. [PMID: 29752194 PMCID: PMC6008496 DOI: 10.1016/s2213-8587(18)30079-2] [Citation(s) in RCA: 129] [Impact Index Per Article: 21.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/15/2017] [Revised: 02/20/2018] [Accepted: 02/26/2018] [Indexed: 01/06/2023]
Abstract
BACKGROUND Several studies have shown that diabetes confers a higher relative risk of vascular mortality among women than among men, but whether this increased relative risk in women exists across age groups and within defined levels of other risk factors is uncertain. We aimed to determine whether differences in established risk factors, such as blood pressure, BMI, smoking, and cholesterol, explain the higher relative risks of vascular mortality among women than among men. METHODS In our meta-analysis, we obtained individual participant-level data from studies included in the Prospective Studies Collaboration and the Asia Pacific Cohort Studies Collaboration that had obtained baseline information on age, sex, diabetes, total cholesterol, blood pressure, tobacco use, height, and weight. Data on causes of death were obtained from medical death certificates. We used Cox regression models to assess the relevance of diabetes (any type) to occlusive vascular mortality (ischaemic heart disease, ischaemic stroke, or other atherosclerotic deaths) by age, sex, and other major vascular risk factors, and to assess whether the associations of blood pressure, total cholesterol, and body-mass index (BMI) to occlusive vascular mortality are modified by diabetes. RESULTS Individual participant-level data were analysed from 980 793 adults. During 9·8 million person-years of follow-up, among participants aged between 35 and 89 years, 19 686 (25·6%) of 76 965 deaths were attributed to occlusive vascular disease. After controlling for major vascular risk factors, diabetes roughly doubled occlusive vascular mortality risk among men (death rate ratio [RR] 2·10, 95% CI 1·97-2·24) and tripled risk among women (3·00, 2·71-3·33; χ2 test for heterogeneity p<0·0001). For both sexes combined, the occlusive vascular death RRs were higher in younger individuals (aged 35-59 years: 2·60, 2·30-2·94) than in older individuals (aged 70-89 years: 2·01, 1·85-2·19; p=0·0001 for trend across age groups), and, across age groups, the death RRs were higher among women than among men. Therefore, women aged 35-59 years had the highest death RR across all age and sex groups (5·55, 4·15-7·44). However, since underlying confounder-adjusted occlusive vascular mortality rates at any age were higher in men than in women, the adjusted absolute excess occlusive vascular mortality associated with diabetes was similar for men and women. At ages 35-59 years, the excess absolute risk was 0·05% (95% CI 0·03-0·07) per year in women compared with 0·08% (0·05-0·10) per year in men; the corresponding excess at ages 70-89 years was 1·08% (0·84-1·32) per year in women and 0·91% (0·77-1·05) per year in men. Total cholesterol, blood pressure, and BMI each showed continuous log-linear associations with occlusive vascular mortality that were similar among individuals with and without diabetes across both sexes. INTERPRETATION Independent of other major vascular risk factors, diabetes substantially increased vascular risk in both men and women. Lifestyle changes to reduce smoking and obesity and use of cost-effective drugs that target major vascular risks (eg, statins and antihypertensive drugs) are important in both men and women with diabetes, but might not reduce the relative excess risk of occlusive vascular disease in women with diabetes, which remains unexplained. FUNDING UK Medical Research Council, British Heart Foundation, Cancer Research UK, European Union BIOMED programme, and National Institute on Aging (US National Institutes of Health).
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Yubi T, Hata J, Ohara T, Mukai N, Hirakawa Y, Yoshida D, Gotoh S, Hirabayashi N, Furuta Y, Ago T, Kitazono T, Kiyohara Y, Ninomiya T. Prevalence of and risk factors for cerebral microbleeds in a general Japanese elderly community. Neurol Clin Pract 2018; 8:223-231. [PMID: 30105162 DOI: 10.1212/cpj.0000000000000464] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2017] [Accepted: 03/28/2018] [Indexed: 11/15/2022]
Abstract
Background We investigated the prevalence of and risk factors for cerebral microbleeds (CMBs) in a cross-sectional study of a general population of Japanese elderly. Methods In 2012, brain MRI scanning at 1.5T and comprehensive health examination were conducted for 1281 residents aged 65 years or older. CMBs were defined as ovoid hypointensity lesions less than 10 mm in diameter on T2*-weighted images and classified into deep/infratentorial or lobar CMBs. Age- and sex-specific and overall prevalence of CMBs were estimated, and the associations of traditional cardiovascular risk factors and APOE polymorphism with the presence of CMBs were examined using a logistic regression analysis. Results The crude prevalences of total, deep/infratentorial, and lobar CMBs were 18.7% (n = 240), 13.5% (n = 173), and 9.6% (n = 123), respectively. The prevalence of total CMBs was 23.0% in men and 15.5% in women and increased with aging in both sexes (both p for trend <0.01). Hypertension was significantly associated with the presence of both deep/infratentorial and lobar CMBs. Lower serum total cholesterol was a significant risk factor for deep/infratentorial CMBs, but not for lobar CMBs, while APOE ε4 carriers had a significantly higher likelihood only of lobar CMBs compared with noncarriers. Conclusions Our study suggests that approximately 1 of 5 Japanese elderly people have CMBs, and that risk factors for deep/infratentorial and lobar CMBs are different, indicating the distinct pathologic backgrounds of these lesions.
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Affiliation(s)
- Tomohiro Yubi
- Departments of Epidemiology and Public Health (TY, JH, DY, YF, TN), Department of Neuropsychiatry (TO), Center for Cohort Studies (NM), Department of Medicine and Clinical Sciences (YH, SG, TA, TK), and Department of Psychosomatic Medicine (NH), Graduate School of Medical Sciences, Kyushu University, Fukuoka; and Hisayama Research Institute for Lifestyle Diseases (YK), Fukuoka, Japan
| | - Jun Hata
- Departments of Epidemiology and Public Health (TY, JH, DY, YF, TN), Department of Neuropsychiatry (TO), Center for Cohort Studies (NM), Department of Medicine and Clinical Sciences (YH, SG, TA, TK), and Department of Psychosomatic Medicine (NH), Graduate School of Medical Sciences, Kyushu University, Fukuoka; and Hisayama Research Institute for Lifestyle Diseases (YK), Fukuoka, Japan
| | - Tomoyuki Ohara
- Departments of Epidemiology and Public Health (TY, JH, DY, YF, TN), Department of Neuropsychiatry (TO), Center for Cohort Studies (NM), Department of Medicine and Clinical Sciences (YH, SG, TA, TK), and Department of Psychosomatic Medicine (NH), Graduate School of Medical Sciences, Kyushu University, Fukuoka; and Hisayama Research Institute for Lifestyle Diseases (YK), Fukuoka, Japan
| | - Naoko Mukai
- Departments of Epidemiology and Public Health (TY, JH, DY, YF, TN), Department of Neuropsychiatry (TO), Center for Cohort Studies (NM), Department of Medicine and Clinical Sciences (YH, SG, TA, TK), and Department of Psychosomatic Medicine (NH), Graduate School of Medical Sciences, Kyushu University, Fukuoka; and Hisayama Research Institute for Lifestyle Diseases (YK), Fukuoka, Japan
| | - Yoichiro Hirakawa
- Departments of Epidemiology and Public Health (TY, JH, DY, YF, TN), Department of Neuropsychiatry (TO), Center for Cohort Studies (NM), Department of Medicine and Clinical Sciences (YH, SG, TA, TK), and Department of Psychosomatic Medicine (NH), Graduate School of Medical Sciences, Kyushu University, Fukuoka; and Hisayama Research Institute for Lifestyle Diseases (YK), Fukuoka, Japan
| | - Daigo Yoshida
- Departments of Epidemiology and Public Health (TY, JH, DY, YF, TN), Department of Neuropsychiatry (TO), Center for Cohort Studies (NM), Department of Medicine and Clinical Sciences (YH, SG, TA, TK), and Department of Psychosomatic Medicine (NH), Graduate School of Medical Sciences, Kyushu University, Fukuoka; and Hisayama Research Institute for Lifestyle Diseases (YK), Fukuoka, Japan
| | - Seiji Gotoh
- Departments of Epidemiology and Public Health (TY, JH, DY, YF, TN), Department of Neuropsychiatry (TO), Center for Cohort Studies (NM), Department of Medicine and Clinical Sciences (YH, SG, TA, TK), and Department of Psychosomatic Medicine (NH), Graduate School of Medical Sciences, Kyushu University, Fukuoka; and Hisayama Research Institute for Lifestyle Diseases (YK), Fukuoka, Japan
| | - Naoki Hirabayashi
- Departments of Epidemiology and Public Health (TY, JH, DY, YF, TN), Department of Neuropsychiatry (TO), Center for Cohort Studies (NM), Department of Medicine and Clinical Sciences (YH, SG, TA, TK), and Department of Psychosomatic Medicine (NH), Graduate School of Medical Sciences, Kyushu University, Fukuoka; and Hisayama Research Institute for Lifestyle Diseases (YK), Fukuoka, Japan
| | - Yoshihiko Furuta
- Departments of Epidemiology and Public Health (TY, JH, DY, YF, TN), Department of Neuropsychiatry (TO), Center for Cohort Studies (NM), Department of Medicine and Clinical Sciences (YH, SG, TA, TK), and Department of Psychosomatic Medicine (NH), Graduate School of Medical Sciences, Kyushu University, Fukuoka; and Hisayama Research Institute for Lifestyle Diseases (YK), Fukuoka, Japan
| | - Tetsuro Ago
- Departments of Epidemiology and Public Health (TY, JH, DY, YF, TN), Department of Neuropsychiatry (TO), Center for Cohort Studies (NM), Department of Medicine and Clinical Sciences (YH, SG, TA, TK), and Department of Psychosomatic Medicine (NH), Graduate School of Medical Sciences, Kyushu University, Fukuoka; and Hisayama Research Institute for Lifestyle Diseases (YK), Fukuoka, Japan
| | - Takanari Kitazono
- Departments of Epidemiology and Public Health (TY, JH, DY, YF, TN), Department of Neuropsychiatry (TO), Center for Cohort Studies (NM), Department of Medicine and Clinical Sciences (YH, SG, TA, TK), and Department of Psychosomatic Medicine (NH), Graduate School of Medical Sciences, Kyushu University, Fukuoka; and Hisayama Research Institute for Lifestyle Diseases (YK), Fukuoka, Japan
| | - Yutaka Kiyohara
- Departments of Epidemiology and Public Health (TY, JH, DY, YF, TN), Department of Neuropsychiatry (TO), Center for Cohort Studies (NM), Department of Medicine and Clinical Sciences (YH, SG, TA, TK), and Department of Psychosomatic Medicine (NH), Graduate School of Medical Sciences, Kyushu University, Fukuoka; and Hisayama Research Institute for Lifestyle Diseases (YK), Fukuoka, Japan
| | - Toshiharu Ninomiya
- Departments of Epidemiology and Public Health (TY, JH, DY, YF, TN), Department of Neuropsychiatry (TO), Center for Cohort Studies (NM), Department of Medicine and Clinical Sciences (YH, SG, TA, TK), and Department of Psychosomatic Medicine (NH), Graduate School of Medical Sciences, Kyushu University, Fukuoka; and Hisayama Research Institute for Lifestyle Diseases (YK), Fukuoka, Japan
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Furuta Y, Hata J, Mukai N, Hirakawa Y, Ago T, Kitazono T, Kiyohara Y, Ninomiya T. Secular trends in the incidence, risk factors, and prognosis of transient ischemic attack in Japan: The Hisayama Study. Atherosclerosis 2018; 273:84-90. [PMID: 29702429 DOI: 10.1016/j.atherosclerosis.2018.04.010] [Citation(s) in RCA: 2] [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] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2018] [Revised: 03/28/2018] [Accepted: 04/11/2018] [Indexed: 10/17/2022]
Abstract
BACKGROUND AND AIMS We aimed to investigate secular trends in the incidence, risk factors, and prognosis of transient ischemic attack (TIA) in a general Japanese population. METHODS Two cohorts consisting of stroke-free Japanese individuals aged ≥40 years in 1961 (n = 1621) and 1988 (n = 2646) were followed up for 24 years. The associations of potential risk factors with the development of TIA were estimated by a Cox proportional hazards model. The influence of TIA on the risk of total stroke over the subsequent 10 years was compared between the sub-cohorts of subjects with TIA and age- and sex-matched control subjects from each cohort. RESULTS During follow-up, 28 subjects in the 1961 cohort and 34 in the 1988 cohort experienced TIA. The age-standardized incidence of TIA was significantly lower in the 1988 cohort than the 1961 cohort (0.66 vs. 1.01 per 1000 person-years, p = 0.02). While elevated systolic blood pressure was significantly associated with the risk of TIA in both cohorts, glucose intolerance and higher serum cholesterol levels were associated with TIA risk only in the 1988 cohort. The subjects experiencing TIA had approximately 7-8-fold higher risks for the 10-year incidence of total and ischemic strokes compared with the corresponding control subjects without TIA both in the 1961 and 1988 sub-cohorts, and the relative risks were not significantly different between sub-cohorts. CONCLUSIONS Our results suggest that the incidence of TIA decreased during the past half century, probably due to the spread of antihypertensive treatments in the general Japanese population.
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Affiliation(s)
- Yoshihiko Furuta
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan; Department of Medicine and Clinical Sciences, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan
| | - Jun Hata
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan; Department of Medicine and Clinical Sciences, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan; Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan.
| | - Naoko Mukai
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan; Department of Medicine and Clinical Sciences, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan; Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan
| | - Yoichiro Hirakawa
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan; Department of Medicine and Clinical Sciences, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan
| | - Tetsuro Ago
- Department of Medicine and Clinical Sciences, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan
| | - Takanari Kitazono
- Department of Medicine and Clinical Sciences, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan; Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan
| | - Yutaka Kiyohara
- Hisayama Research Institute for Lifestyle Diseases, 1822-1 Kubara, Hisayama-machi, Kasuya-gun, Fukuoka 811-2501, Japan
| | - Toshiharu Ninomiya
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan; Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan
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Takae K, Hata J, Ohara T, Yoshida D, Shibata M, Mukai N, Hirakawa Y, Kishimoto H, Tsuruya K, Kitazono T, Kiyohara Y, Ninomiya T. Albuminuria Increases the Risks for Both Alzheimer Disease and Vascular Dementia in Community-Dwelling Japanese Elderly: The Hisayama Study. J Am Heart Assoc 2018; 7:JAHA.117.006693. [PMID: 29353232 PMCID: PMC5850144 DOI: 10.1161/jaha.117.006693] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background Epidemiologic evidence has emerged to reveal an association of albuminuria and low estimated glomerular filtration rate (eGFR) with dementia, but the findings are inconsistent. In addition, there are limited studies addressing the association between albuminuria and Alzheimer disease (AD). Methods and Results A total of 1562 community‐dwelling Japanese subjects aged ≥60 years without dementia were followed up for 10 years. The outcomes were incidence of all‐cause dementia and its subtypes, namely, AD and vascular dementia (VaD). The hazard ratios for the outcomes were estimated according to urine albumin–creatinine ratio (UACR) and eGFR levels using a Cox proportional hazards model. During the follow‐up, 358 subjects developed all‐cause dementia (238 AD and 93 VaD). Higher UACR level was significantly associated with greater multivariable‐adjusted risks of all‐cause dementia (hazard ratios [95% confidence intervals]: 1.00 [reference], 1.12 [0.78–1.60], 1.65 [1.18–2.30], and 1.56 [1.11–2.19] for UACR of ≤6.9, 7.0–12.7, 12.8–29.9, and ≥30.0 mg/g, respectively), AD (1.00 [reference], 1.20 [0.77–1.86], 1.75 [1.16–2.64], and 1.58 [1.03–2.41], respectively), and VaD (1.00 [reference], 1.03 [0.46–2.29], 1.94 [0.96–3.95], and 2.19 [1.09–4.38], respectively). On the other hand, lower eGFR level was marginally associated with greater risk of VaD, but not AD. Subjects with UACR ≥12.8 mg/g and eGFR of <60 mL/min per 1.73 m2 had 3.3‐fold greater risk of VaD than those with UACR <12.8 mg/g and eGFR of ≥60 mL/min per 1.73 m2. Conclusions Albuminuria is a significant risk factor for the development of both AD and VaD in community‐dwelling Japanese elderly. Moreover, albuminuria and low eGFR are mutually associated with a greater risk of VaD.
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Affiliation(s)
- Keita Takae
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.,Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Jun Hata
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Tomoyuki Ohara
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Daigo Yoshida
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Mao Shibata
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Naoko Mukai
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Yoichiro Hirakawa
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Hiro Kishimoto
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Kazuhiko Tsuruya
- Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Takanari Kitazono
- Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Yutaka Kiyohara
- Hisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan
| | - Toshiharu Ninomiya
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
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Castillo E, Leon J, Mazzei G, Abolhassani N, Haruyama N, Saito T, Saido T, Hokama M, Iwaki T, Ohara T, Ninomiya T, Kiyohara Y, Sakumi K, LaFerla FM, Nakabeppu Y. Comparative profiling of cortical gene expression in Alzheimer's disease patients and mouse models demonstrates a link between amyloidosis and neuroinflammation. Sci Rep 2017; 7:17762. [PMID: 29259249 PMCID: PMC5736730 DOI: 10.1038/s41598-017-17999-3] [Citation(s) in RCA: 92] [Impact Index Per Article: 13.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2017] [Accepted: 12/05/2017] [Indexed: 02/07/2023] Open
Abstract
Alzheimer's disease (AD) is the most common form of dementia, characterized by accumulation of amyloid β (Aβ) and neurofibrillary tangles. Oxidative stress and inflammation are considered to play an important role in the development and progression of AD. However, the extent to which these events contribute to the Aβ pathologies remains unclear. We performed inter-species comparative gene expression profiling between AD patient brains and the App NL-G-F/NL-G-F and 3xTg-AD-H mouse models. Genes commonly altered in App NL-G-F/NL-G-F and human AD cortices correlated with the inflammatory response or immunological disease. Among them, expression of AD-related genes (C4a/C4b, Cd74, Ctss, Gfap, Nfe2l2, Phyhd1, S100b, Tf, Tgfbr2, and Vim) was increased in the App NL-G-F/NL-G-F cortex as Aβ amyloidosis progressed with exacerbated gliosis, while genes commonly altered in the 3xTg-AD-H and human AD cortices correlated with neurological disease. The App NL-G-F/NL-G-F cortex also had altered expression of genes (Abi3, Apoe, Bin2, Cd33, Ctsc, Dock2, Fcer1g, Frmd6, Hck, Inpp5D, Ly86, Plcg2, Trem2, Tyrobp) defined as risk factors for AD by genome-wide association study or identified as genetic nodes in late-onset AD. These results suggest a strong correlation between cortical Aβ amyloidosis and the neuroinflammatory response and provide a better understanding of the involvement of gender effects in the development of AD.
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Affiliation(s)
- Erika Castillo
- Division of Neurofunctional Genomics, Department of Immunobiology and Neuroscience, Medical Institute of Bioregulation, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan
| | - Julio Leon
- Division of Neurofunctional Genomics, Department of Immunobiology and Neuroscience, Medical Institute of Bioregulation, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan.,Department of Neurology, University of California, San Francisco, San Francisco, CA, 94158, USA
| | - Guianfranco Mazzei
- Division of Neurofunctional Genomics, Department of Immunobiology and Neuroscience, Medical Institute of Bioregulation, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan
| | - Nona Abolhassani
- Division of Neurofunctional Genomics, Department of Immunobiology and Neuroscience, Medical Institute of Bioregulation, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan
| | - Naoki Haruyama
- Division of Neurofunctional Genomics, Department of Immunobiology and Neuroscience, Medical Institute of Bioregulation, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan
| | - Takashi Saito
- Laboratory for Proteolytic Neuroscience, RIKEN Brain Science Institute, Saitama, Japan
| | - Takaomi Saido
- Laboratory for Proteolytic Neuroscience, RIKEN Brain Science Institute, Saitama, Japan
| | - Masaaki Hokama
- Division of Neurofunctional Genomics, Department of Immunobiology and Neuroscience, Medical Institute of Bioregulation, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan.,Department of Neurosurgery, Japan Community Health Care Organization Kyushu Hospital, Kitakyushu, 806-8501, Japan
| | - Toru Iwaki
- Department of Neuropathology, Neurological Institute, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan
| | - Tomoyuki Ohara
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan
| | - Toshiharu Ninomiya
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan
| | - Yutaka Kiyohara
- Hisayama Research Institute for Lifestyle Diseases, Hisayama, Fukuoka, Japan
| | - Kunihiko Sakumi
- Division of Neurofunctional Genomics, Department of Immunobiology and Neuroscience, Medical Institute of Bioregulation, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan
| | - Frank M LaFerla
- Department of Neurobiology and Behavior, University of California, Irvine, CA, 92697, USA
| | - Yusaku Nakabeppu
- Division of Neurofunctional Genomics, Department of Immunobiology and Neuroscience, Medical Institute of Bioregulation, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan.
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Kiyohara Y, Takenouchi T, Uhara H, Koga H, Uchi H, Yamazaki N. Phase 2 study to evaluate efficacy and safety of combination therapy with nivolumab (NIVO) and ipilimumab(IPI) in patients with previously untreated melanoma. Ann Oncol 2017. [DOI: 10.1093/annonc/mdx667.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Oishi E, Ohara T, Sakata S, Fukuhara M, Hata J, Yoshida D, Shibata M, Ohtsubo T, Kitazono T, Kiyohara Y, Ninomiya T. Day-to-Day Blood Pressure Variability and Risk of Dementia in a General Japanese Elderly Population: The Hisayama Study. Circulation 2017; 136:516-525. [PMID: 28784822 PMCID: PMC5548511 DOI: 10.1161/circulationaha.116.025667] [Citation(s) in RCA: 93] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2016] [Accepted: 06/22/2017] [Indexed: 11/26/2022]
Abstract
Supplemental Digital Content is available in the text. Several observational studies have reported that higher visit-to-visit blood pressure variability is a risk factor for cognitive impairment and dementia. However, no studies have investigated the association of day-to-day blood pressure variability assessed by home blood pressure measurement with the development of dementia.
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Affiliation(s)
- Emi Oishi
- From Department of Epidemiology and Public Health (E.O., T. Ohara, S.S., J.H., D.Y., M.S., T.N.), Department of Medicine and Clinical Science (E.O., S.S., J.H., T. Ohtsubo, T.K.), Department of Neuropsychiatry (T. Ohara), and Department of Center for Cohort Studies (J.H., D.Y., T.K., T.N.), Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Department of Division of General Internal Medicine, Kyushu Dental University, Kitakyushu, Japan (M.F.); and Hisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan (Y.K.)
| | - Tomoyuki Ohara
- From Department of Epidemiology and Public Health (E.O., T. Ohara, S.S., J.H., D.Y., M.S., T.N.), Department of Medicine and Clinical Science (E.O., S.S., J.H., T. Ohtsubo, T.K.), Department of Neuropsychiatry (T. Ohara), and Department of Center for Cohort Studies (J.H., D.Y., T.K., T.N.), Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Department of Division of General Internal Medicine, Kyushu Dental University, Kitakyushu, Japan (M.F.); and Hisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan (Y.K.).
| | - Satoko Sakata
- From Department of Epidemiology and Public Health (E.O., T. Ohara, S.S., J.H., D.Y., M.S., T.N.), Department of Medicine and Clinical Science (E.O., S.S., J.H., T. Ohtsubo, T.K.), Department of Neuropsychiatry (T. Ohara), and Department of Center for Cohort Studies (J.H., D.Y., T.K., T.N.), Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Department of Division of General Internal Medicine, Kyushu Dental University, Kitakyushu, Japan (M.F.); and Hisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan (Y.K.)
| | - Masayo Fukuhara
- From Department of Epidemiology and Public Health (E.O., T. Ohara, S.S., J.H., D.Y., M.S., T.N.), Department of Medicine and Clinical Science (E.O., S.S., J.H., T. Ohtsubo, T.K.), Department of Neuropsychiatry (T. Ohara), and Department of Center for Cohort Studies (J.H., D.Y., T.K., T.N.), Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Department of Division of General Internal Medicine, Kyushu Dental University, Kitakyushu, Japan (M.F.); and Hisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan (Y.K.)
| | - Jun Hata
- From Department of Epidemiology and Public Health (E.O., T. Ohara, S.S., J.H., D.Y., M.S., T.N.), Department of Medicine and Clinical Science (E.O., S.S., J.H., T. Ohtsubo, T.K.), Department of Neuropsychiatry (T. Ohara), and Department of Center for Cohort Studies (J.H., D.Y., T.K., T.N.), Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Department of Division of General Internal Medicine, Kyushu Dental University, Kitakyushu, Japan (M.F.); and Hisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan (Y.K.)
| | - Daigo Yoshida
- From Department of Epidemiology and Public Health (E.O., T. Ohara, S.S., J.H., D.Y., M.S., T.N.), Department of Medicine and Clinical Science (E.O., S.S., J.H., T. Ohtsubo, T.K.), Department of Neuropsychiatry (T. Ohara), and Department of Center for Cohort Studies (J.H., D.Y., T.K., T.N.), Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Department of Division of General Internal Medicine, Kyushu Dental University, Kitakyushu, Japan (M.F.); and Hisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan (Y.K.)
| | - Mao Shibata
- From Department of Epidemiology and Public Health (E.O., T. Ohara, S.S., J.H., D.Y., M.S., T.N.), Department of Medicine and Clinical Science (E.O., S.S., J.H., T. Ohtsubo, T.K.), Department of Neuropsychiatry (T. Ohara), and Department of Center for Cohort Studies (J.H., D.Y., T.K., T.N.), Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Department of Division of General Internal Medicine, Kyushu Dental University, Kitakyushu, Japan (M.F.); and Hisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan (Y.K.)
| | - Toshio Ohtsubo
- From Department of Epidemiology and Public Health (E.O., T. Ohara, S.S., J.H., D.Y., M.S., T.N.), Department of Medicine and Clinical Science (E.O., S.S., J.H., T. Ohtsubo, T.K.), Department of Neuropsychiatry (T. Ohara), and Department of Center for Cohort Studies (J.H., D.Y., T.K., T.N.), Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Department of Division of General Internal Medicine, Kyushu Dental University, Kitakyushu, Japan (M.F.); and Hisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan (Y.K.)
| | - Takanari Kitazono
- From Department of Epidemiology and Public Health (E.O., T. Ohara, S.S., J.H., D.Y., M.S., T.N.), Department of Medicine and Clinical Science (E.O., S.S., J.H., T. Ohtsubo, T.K.), Department of Neuropsychiatry (T. Ohara), and Department of Center for Cohort Studies (J.H., D.Y., T.K., T.N.), Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Department of Division of General Internal Medicine, Kyushu Dental University, Kitakyushu, Japan (M.F.); and Hisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan (Y.K.)
| | - Yutaka Kiyohara
- From Department of Epidemiology and Public Health (E.O., T. Ohara, S.S., J.H., D.Y., M.S., T.N.), Department of Medicine and Clinical Science (E.O., S.S., J.H., T. Ohtsubo, T.K.), Department of Neuropsychiatry (T. Ohara), and Department of Center for Cohort Studies (J.H., D.Y., T.K., T.N.), Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Department of Division of General Internal Medicine, Kyushu Dental University, Kitakyushu, Japan (M.F.); and Hisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan (Y.K.)
| | - Toshiharu Ninomiya
- From Department of Epidemiology and Public Health (E.O., T. Ohara, S.S., J.H., D.Y., M.S., T.N.), Department of Medicine and Clinical Science (E.O., S.S., J.H., T. Ohtsubo, T.K.), Department of Neuropsychiatry (T. Ohara), and Department of Center for Cohort Studies (J.H., D.Y., T.K., T.N.), Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Department of Division of General Internal Medicine, Kyushu Dental University, Kitakyushu, Japan (M.F.); and Hisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan (Y.K.)
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Mukai N, Ohara T, Hata J, Hirakawa Y, Yoshida D, Kishimoto H, Koga M, Nakamura U, Kitazono T, Kiyohara Y, Ninomiya T. Alternative Measures of Hyperglycemia and Risk of Alzheimer's Disease in the Community: The Hisayama Study. J Clin Endocrinol Metab 2017; 102:3002-3010. [PMID: 28605542 DOI: 10.1210/jc.2017-00439] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/15/2017] [Accepted: 06/05/2017] [Indexed: 02/05/2023]
Abstract
CONTEXT AND OBJECTIVE We investigated the associations of hemoglobin A1c (HbA1c), glycated albumin (GA), GA/HbA1c ratio, and 1,5-anhydroglucitol (1,5-AG) with the development of Alzheimer's disease (AD). DESIGN AND PARTICIPANTS A total of 1187 community-dwelling Japanese subjects aged ≥65 years without dementia were followed up for an average of 4.8 years. RESULTS The age- and sex-adjusted incidence of AD increased significantly with higher quartiles of GA/HbA1c ratio, and a similar tendency was seen for GA, whereas no such association was observed for HbA1c and 1,5-AG. After adjusting for potential confounding factors, positive association of GA/HbA1c ratio with the risk of AD remained significant: the multivariable-adjusted hazard ratio (HR) was significantly higher in the third [HR = 2.11, 95% confidence interval (CI) = 1.16 to 3.82] and fourth (HR = 2.01, 95% CI = 1.09 to 3.68) quartile than in the first quartile. Among subjects with normal glucose tolerance, those with high GA/HbA1c ratio had a higher risk of AD than those with low GA/HbA1c ratio (HR = 1.82, 95% CI = 1.05 to 3.16), and a similar tendency was found in those with glucose intolerance (HR = 1.73, 95% CI = 0.96 to 3.13). No such associations were observed for HbA1c, GA, and 1,5-AG, regardless of glucose tolerance status. CONCLUSIONS Our findings suggest that elevated GA/HbA1c ratio-but not HbA1c, GA, or 1,5-AG level-is significantly associated with the risk of AD in subjects both with and without glucose intolerance. GA/HbA1c ratio may be a useful biomarker for predicting incident AD.
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Affiliation(s)
- Naoko Mukai
- Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan
- Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan
| | - Tomoyuki Ohara
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan
| | - Jun Hata
- Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan
- Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan
| | - Yoichiro Hirakawa
- Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan
- Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan
| | - Daigo Yoshida
- Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan
| | - Hiro Kishimoto
- Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan
| | - Masafumi Koga
- Department of Internal Medicine, Hakuhokai Central Hospital, Hyogo 661-0953, Japan
| | - Udai Nakamura
- Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan
| | - Takanari Kitazono
- Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan
- Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan
| | - Yutaka Kiyohara
- Hisayama Research Institute for Lifestyle Diseases, Fukuoka 812-8582, Japan
| | - Toshiharu Ninomiya
- Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan
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26
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Usui T, Nagata M, Hata J, Mukai N, Hirakawa Y, Yoshida D, Kishimoto H, Kitazono T, Kiyohara Y, Ninomiya T. Serum Non-High-Density Lipoprotein Cholesterol and Risk of Cardiovascular Disease in Community Dwellers with Chronic Kidney Disease: the Hisayama Study. J Atheroscler Thromb 2017; 24:706-715. [PMID: 27840387 PMCID: PMC5517544 DOI: 10.5551/jat.37044] [Citation(s) in RCA: 12] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2016] [Accepted: 09/26/2016] [Indexed: 11/11/2022] Open
Abstract
AIM It is not clear whether elevated serum non-high-density lipoprotein cholesterol (non-HDL-C) levels are a risk factor for cardiovascular disease (CVD) in subjects with chronic kidney disease (CKD) in the general population. METHODS A total of 2,630 community-dwelling Japanese subjects (1,107 men and 1,523 women) without history of CVD and aged ≥40 years were prospectively followed up for an average of 19 years, and the association between serum non-HDL-C levels and the incidence of type-specific CVD was estimated using a Cox proportional hazards model. CKD was defined as estimated glomerular filtration rate <60 mL/min/1.73 m2 or proteinuria (≥1+ on dipstick). RESULTS At baseline, 357 subjects had CKD. During the follow up, 186 coronary heart disease (CHD) and 277 stroke events occurred. The age- and sex-adjusted incidence of CHD was significantly higher in subjects with higher non-HDL-C levels, both in those with and without CKD. In the CKD group, the risk of CHD was significantly higher in those with non-HDL-C levels of 150- 189 mg/dL [adjusted hazard ratio (HR), 2.23; 95% confidence interval (CI), 1.04-4.77] and those with levels ≥190 mg/dL (adjusted HR, 3.20; 95% CI, 1.46-7.03) than in those with levels <150 mg/dL. In the non-CKD group, the risk of CHD was significantly higher only in those with nonHDL-C levels ≥190 mg/dL (adjusted HR, 2.12; 95% CI, 1.33-3.38). However, no such association was observed for the risk of stroke. CONCLUSIONS Our findings suggest that higher serum non-HDL-C levels are associated with greater risk of CHD in subjects with and without CKD and that this association is greater in subjects with CKD than in those without CKD.
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Affiliation(s)
- Tomoko Usui
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
- Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Masaharu Nagata
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
- Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Jun Hata
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
- Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
- Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Naoko Mukai
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
- Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
- Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Yoichiro Hirakawa
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
- Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Daigo Yoshida
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
- Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Hiro Kishimoto
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Takanari Kitazono
- Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
- Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Yutaka Kiyohara
- Hisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan
| | - Toshiharu Ninomiya
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
- Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
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27
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Nagata M, Hata J, Hirakawa Y, Mukai N, Yoshida D, Ohara T, Kishimoto H, Kawano H, Kitazono T, Kiyohara Y, Ninomiya T. The ratio of serum eicosapentaenoic acid to arachidonic acid and risk of cancer death in a Japanese community: The Hisayama Study. J Epidemiol 2017; 27:578-583. [PMID: 28669629 PMCID: PMC5623032 DOI: 10.1016/j.je.2017.01.004] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [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: 06/02/2016] [Accepted: 01/04/2017] [Indexed: 12/11/2022] Open
Abstract
Background Whether the intake of eicosapentaenoic acid (EPA) or arachidonic acid (AA) affects the risk of cancer remains unclear, and the association between the serum EPA:AA ratio and cancer risk has not been fully evaluated in general populations. Methods A total of 3098 community-dwelling subjects aged ≥40 years were followed up for 9.6 years (2002–2012). The levels of the serum EPA:AA ratio were categorized into quartiles (<0.29, 0.29–0.41, 0.42–0.60, and >0.60). The risk estimates were computed using a Cox proportional hazards model. The same analyses were conducted for the serum docosahexaenoic acid to arachidonic acid (DHA:AA) ratio and individual fatty acid concentrations. Results During the follow-up period, 121 subjects died of cancer. Age- and sex-adjusted cancer mortality increased with lower serum EPA:AA ratio levels (P trend<0.05). In the multivariable-adjusted analysis, the subjects in the first quartile of the serum EPA:AA ratio had a 1.93-fold (95% confidence interval, 1.15–3.22) greater risk of cancer death than those in the fourth quartile. Lower serum EPA concentrations were marginally associated with higher cancer mortality (P trend<0.11), but the serum DHA or AA concentrations and the serum DHA:AA ratio were not (all P trend>0.37). With regard to site-specific cancers, lower serum EPA:AA ratio was associated with a higher risk of death from liver cancer. However, no such associations were detected for deaths from other cancers. Conclusions These findings suggest that decreased level of the serum EPA:AA ratio is a significant risk factor for cancer death in the general Japanese population. Lower serum EPA:AA ratio was significantly associated with higher cancer mortality. The risk of death from liver cancer increased with lower serum EPA:AA ratio. No significant association was found between serum DHA:AA ratio and cancer death.
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Affiliation(s)
- Masaharu Nagata
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Jun Hata
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Yoichiro Hirakawa
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Naoko Mukai
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Daigo Yoshida
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Tomoyuki Ohara
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Hiro Kishimoto
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Hiroyuki Kawano
- Developmental Research, Mochida Pharmaceutical CO., Ltd., Gotenba, Japan
| | - Takanari Kitazono
- Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Yutaka Kiyohara
- Hisayama Research Institute For Lifestyle Diseases, Fukuoka, Japan
| | - Toshiharu Ninomiya
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
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Sakata S, Hata J, Fukuhara M, Yonemoto K, Mukai N, Yoshida D, Kishimoto H, Ohtsubo T, Kitazono T, Kiyohara Y, Ninomiya T. Morning and Evening Blood Pressures Are Associated With Intima-Media Thickness in a General Population - The Hisayama Study. Circ J 2017. [PMID: 28626161 DOI: 10.1253/circj.cj-16-1306] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [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] [Indexed: 11/09/2022]
Abstract
BACKGROUND The association of morning and evening home blood pressures (HBPs) with carotid atherosclerosis has been uncertain in general populations, so we aimed to investigate it in a general Japanese population.Methods and Results:We performed a cross-sectional survey of 2,856 community-dwelling individuals aged ≥40 years to examine the association of morning and evening HBPs with carotid mean intima-media thickness (IMT). The age- and sex-adjusted geometric averages of carotid mean IMT increased significantly with increasing morning HBP (optimal: 0.67 mm; normal: 0.69 mm; high normal: 0.72 mm; grade 1 hypertension: 0.74 mm; and grade 2+3 hypertension: 0.76 mm) and with increasing evening HBP (0.68 mm, 0.71 mm, 0.73 mm, 0.76 mm, and 0.78 mm, respectively) (both P for trend <0.001). These associations remained significant even after adjusting for potential confounding factors. Likewise, both isolated morning hypertension (morning HBP ≥135/85 mmHg and evening HBP <135/85 mmHg) and isolated evening hypertension (evening HBP ≥135/85 mmHg and morning HBP <135/85 mmHg) as well as sustained hypertension (both morning and evening HBP ≥135/85 mmHg) were significantly associated with thicker mean IMT. CONCLUSIONS Our findings suggested that both morning and evening HBPs were significantly associated with carotid atherosclerosis in this general Japanese population.
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Affiliation(s)
- Satoko Sakata
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University.,Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University
| | - Jun Hata
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University.,Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University.,Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University
| | - Masayo Fukuhara
- Division of General Internal Medicine, Kyushu Dental University
| | - Koji Yonemoto
- Advanced Medical Research Center, Faculty of Medicine, University of the Ryukyus
| | - Naoko Mukai
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University.,Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University.,Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University
| | - Daigo Yoshida
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University.,Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University
| | - Hiro Kishimoto
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University.,Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University
| | - Toshio Ohtsubo
- Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University
| | - Takanari Kitazono
- Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University.,Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University
| | | | - Toshiharu Ninomiya
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University.,Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University
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29
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Tamakoshi A, Nakamura K, Ukawa S, Okada E, Hirata M, Nagai A, Matsuda K, Kamatani Y, Muto K, Kiyohara Y, Yamagata Z, Ninomiya T, Kubo M, Nakamura Y. Erratum to "Characteristics and prognosis of Japanese colorectal cancer patients: The BioBank Japan Project" [J Epidemiol 27(3S) (2017) S36-S42]. J Epidemiol 2017; 27:398-399. [PMID: 28592364 PMCID: PMC5549245 DOI: 10.1016/j.je.2017.04.001] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2017] [Accepted: 04/13/2017] [Indexed: 11/28/2022] Open
Affiliation(s)
- Akiko Tamakoshi
- Department of Public Health, Hokkaido University Graduate School of Medicine, Sapporo, Japan.
| | - Koshi Nakamura
- Department of Public Health, Hokkaido University Graduate School of Medicine, Sapporo, Japan
| | - Shigekazu Ukawa
- Department of Public Health, Hokkaido University Graduate School of Medicine, Sapporo, Japan
| | - Emiko Okada
- Department of Public Health, Hokkaido University Graduate School of Medicine, Sapporo, Japan
| | - Makoto Hirata
- Laboratory of Genome Technology, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Akiko Nagai
- Department of Public Policy, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Koichi Matsuda
- Laboratory of Molecular Medicine, Institute of Medical Science, The University of Tokyo, Tokyo, Japan; Laboratory of Clinical Genome Sequencing, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan
| | - Yoichiro Kamatani
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Kaori Muto
- Department of Public Policy, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Yutaka Kiyohara
- Hisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan
| | - Zentaro Yamagata
- Department of Health Sciences, University of Yamanashi, Yamanashi, Japan
| | - Toshiharu Ninomiya
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Michiaki Kubo
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Yusuke Nakamura
- Laboratory of Molecular Medicine, Institute of Medical Science, The University of Tokyo, Tokyo, Japan; Section of Hematology/Oncology, Department of Medicine, The University of Chicago, Chicago, USA
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Kudo K, Hata J, Matsumoto K, Shundo Y, Fukuyama S, Inoue H, Kitazono T, Kiyohara Y, Ninomiya T, Nakanishi Y. Association of Airflow Limitation With Carotid Atherosclerosis in a Japanese Community - The Hisayama Study. Circ J 2017; 81:1846-1853. [PMID: 28592724 DOI: 10.1253/circj.cj-16-1305] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [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] [Indexed: 11/09/2022]
Abstract
BACKGROUND There has been no large-scale observational study examining the association between chronic obstructive pulmonary disease (COPD) or airflow limitation and carotid atherosclerosis in the general population across a wide range of generations in Asia. In the present study we assessed the association between airflow limitation and carotid intima-media thickness (IMT) in a general Japanese population, with consideration of a comprehensive array of cardiovascular risk factors.Methods and Results:In all, 2,099 community-dwelling Japanese subjects were included in the study. Airflow limitation was defined by spirometry. Maximum and mean IMT values were measured using carotid ultrasonography. Among the subjects, 352 (16.8%) had airflow limitation. The geometric mean values of maximum IMT and mean IMT were significantly higher in subjects with than without airflow limitation (1.27 vs. 1.18 mm, respectively, for maximum IMT; 0.73 mm vs. 0.72 mm, respectively, for mean IMT) and increased with the severity of airflow limitation after adjustment for conventional risk factors, including smoking habits and serum high-sensitivity C-reactive protein. It should be noted that the magnitude of these associations was greater in the middle-aged (40-64 years) than elderly (≥65 years) subgroup. CONCLUSIONS The findings of the present study suggest that airflow limitation is a significant risk factor for carotid atherosclerosis, especially in midlife, in the general Japanese population.
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Affiliation(s)
- Kunihiro Kudo
- Research Institute for Diseases of the Chest, Graduate School of Medical Sciences, Kyushu University.,Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University
| | - Jun Hata
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University.,Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University.,Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University
| | - Koichiro Matsumoto
- Research Institute for Diseases of the Chest, Graduate School of Medical Sciences, Kyushu University
| | - Yuki Shundo
- Research Institute for Diseases of the Chest, Graduate School of Medical Sciences, Kyushu University.,Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University
| | - Satoru Fukuyama
- Research Institute for Diseases of the Chest, Graduate School of Medical Sciences, Kyushu University
| | - Hiromasa Inoue
- Department of Pulmonary Medicine, Graduate School of Medical and Dental Sciences, Kagoshima University
| | - Takanari Kitazono
- Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University.,Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University
| | | | - Toshiharu Ninomiya
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University.,Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University
| | - Yoichi Nakanishi
- Research Institute for Diseases of the Chest, Graduate School of Medical Sciences, Kyushu University
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Samukawa T, Matsumoto K, Tsukuya G, Koriyama C, Fukuyama S, Uchida A, Mizuno K, Miyahara H, Kiyohara Y, Ninomiya T, Inoue H. Development of a self-scored persistent airflow obstruction screening questionnaire in a general Japanese population: the Hisayama study. Int J Chron Obstruct Pulmon Dis 2017; 12:1469-1481. [PMID: 28553099 PMCID: PMC5439935 DOI: 10.2147/copd.s130453] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [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: 11/23/2022] Open
Abstract
BACKGROUND The use of a simple screening questionnaire to detect persistent airflow obstruction (AO) in COPD may facilitate the early, accurate diagnosis of COPD in general practice settings. OBJECTIVE This study developed an original persistent AO questionnaire for screening individuals with COPD in a general Japanese population. METHODS A working group was established to generate initial draft questionnaire items about COPD. Eligible subjects aged 40 and older living in Japan were solicited to participate in a health checkup from 2014 to 2015. In study I, 2,338 subjects who fully completed the initial draft questionnaire and who had valid spirometry measurements were statistically analyzed to determine the final questionnaire items as a COPD screening questionnaire (COPD-Q). Persistent AO was defined as a post-bronchodilator FEV1/FVC <0.70. In study II, the working group analyzed the weighted scores for individual items and established a cutoff point for the COPD-Q based on the data of 2,066 subjects in the Hisayama study. Receiver operating characteristic (ROC) curves were used to examine the ability of the COPD-Q to discriminate between subjects with and without AO. RESULTS The five-item COPD-Q was established based on 19 initial draft items in study I and the weighted scores of individual items. The overall area under the ROC curve for the COPD-Q was 0.796 (95% confidence interval, 0.707-0.788). A cutoff of 4 points resulted in a sensitivity of 71.0% and a specificity of 70.1%. The positive predictive value was 10.8%, and the negative predictive value was 97.9%. The crude odds ratio of the COPD-Q for AO was 5.8. CONCLUSION The five-item COPD-Q is a useful questionnaire for diagnosing persistent AO in a general Japanese population and is expected to be an effective first-stage screening tool for detecting COPD.
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Affiliation(s)
- Takuya Samukawa
- Department of Pulmonary Medicine, Graduate School of Medical and Dental Sciences, Kagoshima University, Kagoshima
| | - Koichiro Matsumoto
- Research Institute for Diseases of the Chest, Graduate School of Medical Sciences, Kyushu University, Fukuoka
| | - Go Tsukuya
- Department of Pulmonary Medicine, Graduate School of Medical and Dental Sciences, Kagoshima University, Kagoshima
| | - Chihaya Koriyama
- Department of Epidemiology and Preventive Medicine, Graduate School of Medical and Dental Sciences, Kagoshima University
| | - Satoru Fukuyama
- Research Institute for Diseases of the Chest, Graduate School of Medical Sciences, Kyushu University, Fukuoka
| | - Akifumi Uchida
- Department of Pulmonary Medicine, Graduate School of Medical and Dental Sciences, Kagoshima University, Kagoshima
| | - Keiko Mizuno
- Department of Pulmonary Medicine, Graduate School of Medical and Dental Sciences, Kagoshima University, Kagoshima
| | | | | | - Toshiharu Ninomiya
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Hiromasa Inoue
- Department of Pulmonary Medicine, Graduate School of Medical and Dental Sciences, Kagoshima University, Kagoshima
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Ozawa M, Yoshida D, Hata J, Ohara T, Mukai N, Shibata M, Uchida K, Nagata M, Kitazono T, Kiyohara Y, Ninomiya T. Dietary Protein Intake and Stroke Risk in a General Japanese Population: The Hisayama Study. Stroke 2017; 48:1478-1486. [PMID: 28487340 DOI: 10.1161/strokeaha.116.016059] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [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: 11/11/2016] [Revised: 03/18/2017] [Accepted: 03/23/2017] [Indexed: 11/16/2022]
Abstract
BACKGROUND AND PURPOSE The influence of dietary protein intake on stroke risk is an area of interest. We investigated the association between dietary protein intake and stroke risk in Japanese, considering sources of protein. METHODS A total of 2400 subjects aged 40 to 79 years were followed up for 19 years. Dietary protein intake was estimated using a 70-item semiquantitative food frequency questionnaire. The risk estimates for incident stroke and its subtypes were calculated using a Cox proportional hazards model. RESULTS During the follow-up, 254 participants experienced stroke events; of these, 172 had ischemic stroke, and 58 had intracerebral hemorrhage. Higher total protein intake was significantly associated with lower risks of stroke and intracerebral hemorrhage (both P for trend <0.05). With regard to sources of protein, the risks of total stroke and ischemic stroke significantly decreased by 40% (95% confidence interval, 12%-59%) and 40% (5%-62%), respectively, in subjects with the highest quartile of vegetable protein intake compared with those with the lowest one. In contrast, subjects with the highest quartile of animal protein intake had a 53% (4%-77%) lower risk of intracerebral hemorrhage. Vegetable protein intake was positively correlated with intakes of soybean products, vegetable, and algae, whereas animal protein intake was positively correlated with intakes of fish, meat, eggs, and milk/dairy products. Both types of protein intakes were negatively correlated with intakes of rice and alcohol. CONCLUSIONS Our findings suggest that higher dietary protein intake is associated with a reduced risk of stroke in the general Japanese population.
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Affiliation(s)
- Mio Ozawa
- From the Department of Epidemiology and Public Health (M.O., D.Y., J.H., T.O., N.M., M.S., T.N.), Center for Cohort Studies (D.Y., J.H., N.M., M.S., T.N.), Department of Medicine and Clinical Science (J.H., N.M., T.K.), and Department of Neuropsychiatry (T.O.), Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Department of Health Promotion, School of Health and Nutrition Sciences, Nakamura-Gakuen University, Fukuoka, Japan (K.U.); Food Science Research Laboratories, Division of Research and Development, Meiji Co, Ltd, Odawara, Japan (M.N.); and Hisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan (Y.K.)
| | - Daigo Yoshida
- From the Department of Epidemiology and Public Health (M.O., D.Y., J.H., T.O., N.M., M.S., T.N.), Center for Cohort Studies (D.Y., J.H., N.M., M.S., T.N.), Department of Medicine and Clinical Science (J.H., N.M., T.K.), and Department of Neuropsychiatry (T.O.), Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Department of Health Promotion, School of Health and Nutrition Sciences, Nakamura-Gakuen University, Fukuoka, Japan (K.U.); Food Science Research Laboratories, Division of Research and Development, Meiji Co, Ltd, Odawara, Japan (M.N.); and Hisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan (Y.K.)
| | - Jun Hata
- From the Department of Epidemiology and Public Health (M.O., D.Y., J.H., T.O., N.M., M.S., T.N.), Center for Cohort Studies (D.Y., J.H., N.M., M.S., T.N.), Department of Medicine and Clinical Science (J.H., N.M., T.K.), and Department of Neuropsychiatry (T.O.), Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Department of Health Promotion, School of Health and Nutrition Sciences, Nakamura-Gakuen University, Fukuoka, Japan (K.U.); Food Science Research Laboratories, Division of Research and Development, Meiji Co, Ltd, Odawara, Japan (M.N.); and Hisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan (Y.K.)
| | - Tomoyuki Ohara
- From the Department of Epidemiology and Public Health (M.O., D.Y., J.H., T.O., N.M., M.S., T.N.), Center for Cohort Studies (D.Y., J.H., N.M., M.S., T.N.), Department of Medicine and Clinical Science (J.H., N.M., T.K.), and Department of Neuropsychiatry (T.O.), Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Department of Health Promotion, School of Health and Nutrition Sciences, Nakamura-Gakuen University, Fukuoka, Japan (K.U.); Food Science Research Laboratories, Division of Research and Development, Meiji Co, Ltd, Odawara, Japan (M.N.); and Hisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan (Y.K.)
| | - Naoko Mukai
- From the Department of Epidemiology and Public Health (M.O., D.Y., J.H., T.O., N.M., M.S., T.N.), Center for Cohort Studies (D.Y., J.H., N.M., M.S., T.N.), Department of Medicine and Clinical Science (J.H., N.M., T.K.), and Department of Neuropsychiatry (T.O.), Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Department of Health Promotion, School of Health and Nutrition Sciences, Nakamura-Gakuen University, Fukuoka, Japan (K.U.); Food Science Research Laboratories, Division of Research and Development, Meiji Co, Ltd, Odawara, Japan (M.N.); and Hisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan (Y.K.)
| | - Mao Shibata
- From the Department of Epidemiology and Public Health (M.O., D.Y., J.H., T.O., N.M., M.S., T.N.), Center for Cohort Studies (D.Y., J.H., N.M., M.S., T.N.), Department of Medicine and Clinical Science (J.H., N.M., T.K.), and Department of Neuropsychiatry (T.O.), Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Department of Health Promotion, School of Health and Nutrition Sciences, Nakamura-Gakuen University, Fukuoka, Japan (K.U.); Food Science Research Laboratories, Division of Research and Development, Meiji Co, Ltd, Odawara, Japan (M.N.); and Hisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan (Y.K.)
| | - Kazuhiro Uchida
- From the Department of Epidemiology and Public Health (M.O., D.Y., J.H., T.O., N.M., M.S., T.N.), Center for Cohort Studies (D.Y., J.H., N.M., M.S., T.N.), Department of Medicine and Clinical Science (J.H., N.M., T.K.), and Department of Neuropsychiatry (T.O.), Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Department of Health Promotion, School of Health and Nutrition Sciences, Nakamura-Gakuen University, Fukuoka, Japan (K.U.); Food Science Research Laboratories, Division of Research and Development, Meiji Co, Ltd, Odawara, Japan (M.N.); and Hisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan (Y.K.)
| | - Masashi Nagata
- From the Department of Epidemiology and Public Health (M.O., D.Y., J.H., T.O., N.M., M.S., T.N.), Center for Cohort Studies (D.Y., J.H., N.M., M.S., T.N.), Department of Medicine and Clinical Science (J.H., N.M., T.K.), and Department of Neuropsychiatry (T.O.), Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Department of Health Promotion, School of Health and Nutrition Sciences, Nakamura-Gakuen University, Fukuoka, Japan (K.U.); Food Science Research Laboratories, Division of Research and Development, Meiji Co, Ltd, Odawara, Japan (M.N.); and Hisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan (Y.K.)
| | - Takanari Kitazono
- From the Department of Epidemiology and Public Health (M.O., D.Y., J.H., T.O., N.M., M.S., T.N.), Center for Cohort Studies (D.Y., J.H., N.M., M.S., T.N.), Department of Medicine and Clinical Science (J.H., N.M., T.K.), and Department of Neuropsychiatry (T.O.), Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Department of Health Promotion, School of Health and Nutrition Sciences, Nakamura-Gakuen University, Fukuoka, Japan (K.U.); Food Science Research Laboratories, Division of Research and Development, Meiji Co, Ltd, Odawara, Japan (M.N.); and Hisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan (Y.K.)
| | - Yutaka Kiyohara
- From the Department of Epidemiology and Public Health (M.O., D.Y., J.H., T.O., N.M., M.S., T.N.), Center for Cohort Studies (D.Y., J.H., N.M., M.S., T.N.), Department of Medicine and Clinical Science (J.H., N.M., T.K.), and Department of Neuropsychiatry (T.O.), Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Department of Health Promotion, School of Health and Nutrition Sciences, Nakamura-Gakuen University, Fukuoka, Japan (K.U.); Food Science Research Laboratories, Division of Research and Development, Meiji Co, Ltd, Odawara, Japan (M.N.); and Hisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan (Y.K.)
| | - Toshiharu Ninomiya
- From the Department of Epidemiology and Public Health (M.O., D.Y., J.H., T.O., N.M., M.S., T.N.), Center for Cohort Studies (D.Y., J.H., N.M., M.S., T.N.), Department of Medicine and Clinical Science (J.H., N.M., T.K.), and Department of Neuropsychiatry (T.O.), Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Department of Health Promotion, School of Health and Nutrition Sciences, Nakamura-Gakuen University, Fukuoka, Japan (K.U.); Food Science Research Laboratories, Division of Research and Development, Meiji Co, Ltd, Odawara, Japan (M.N.); and Hisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan (Y.K.).
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Umehara K, Mukai N, Hata J, Hirakawa Y, Ohara T, Yoshida D, Kishimoto H, Kitazono T, Hoka S, Kiyohara Y, Ninomiya T. Association Between Serum Vitamin D and All-Cause and Cause-Specific Death in a General Japanese Population - The Hisayama Study. Circ J 2017; 81:1315-1321. [PMID: 28428487 DOI: 10.1253/circj.cj-16-0954] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [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] [Indexed: 11/09/2022]
Abstract
BACKGROUND Few studies have investigated the association between serum vitamin D levels and mortality in general Asian populations.Methods and Results:We examined the association of serum 1,25-dihydroxyvitamin D (1,25(OH)2D) levels with the risk of all-cause and cause-specific death in an average 9.5-year follow-up study of 3,292 community-dwelling Japanese subjects aged ≥40 years (2002-2012). The multivariable-adjusted hazard ratio (HR) for all-cause death increased significantly with lower serum 1,25(OH)2D levels (HR 1.54 [95% confidence interval, 1.18-2.01] for the lowest quartile, 1.31 [0.99-1.73] for the 2nd quartile, 0.94 [0.70-1.25] for the 3rd quartile, 1.00 [Ref.] for highest quartile; P for trend <0.001). A similar association was observed for cardiovascular and respiratory infection death (both P for trend <0.01), but not for cancer death or death from other causes. In the stratified analysis, the association between lower serum 1,25(OH)2D levels and the risk of respiratory infection death was stronger in subjects with an estimated glomerular filtration rate (eGFR) <60 mL/min/1.73 m2than in those with eGFR ≥60 mL/min/1.73 m2; there was a significant heterogeneity in the association between eGFR levels (P for heterogeneity=0.04). CONCLUSIONS The findings suggested that a lower serum 1,25(OH)2D level is a potential risk factor for all-cause death, especially cardiovascular and respiratory infection death, in the general Japanese population, and that lower serum 1,25(OH)2D levels greatly increase the risk of respiratory infection death in subjects with kidney dysfunction.
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Affiliation(s)
- Kaoru Umehara
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University.,Department of Anesthesiology and Critical Care Medicine, Graduate School of Medical Sciences, Kyushu University
| | - Naoko Mukai
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University
| | - Jun Hata
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University
| | - Yoichiro Hirakawa
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University
| | - Tomoyuki Ohara
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University
| | - Daigo Yoshida
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University
| | - Hiro Kishimoto
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University
| | - Takanari Kitazono
- Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University
| | - Sumio Hoka
- Department of Anesthesiology and Critical Care Medicine, Graduate School of Medical Sciences, Kyushu University
| | | | - Toshiharu Ninomiya
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University
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Ohara T, Hata J, Yoshida D, Mukai N, Nagata M, Iwaki T, Kitazono T, Kanba S, Kiyohara Y, Ninomiya T. Trends in dementia prevalence, incidence, and survival rate in a Japanese community. Neurology 2017; 88:1925-1932. [PMID: 28424272 DOI: 10.1212/wnl.0000000000003932] [Citation(s) in RCA: 133] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2016] [Accepted: 02/27/2017] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To investigate secular trends in the prevalence, incidence, and survival rate of dementia in a Japanese elderly population in a comprehensive manner. METHODS Five cross-sectional surveys of dementia were conducted among residents of a Japanese community, aged ≥65 years, in 1985, 1992, 1998, 2005, and 2012. We also established 2 cohorts consisting of the residents of this age group without dementia in 1988 (n = 803) and 2002 (n = 1,231), and each was followed for 10 years. RESULTS The age-standardized prevalence of all-cause dementia and Alzheimer disease (AD) increased with time (for all-cause dementia: 6.8% in 1985, 4.6% in 1992, 5.3% in 1998, 8.4% in 2005, and 11.3% in 2012, p for trend <0.01; for AD: 1.5%, 1.4%, 2.4%, 3.9%, and 7.2%, respectively, p for trend <0.01), while no secular change was observed for vascular dementia (VaD) (2.4%, 1.6%, 1.5%, 2.4%, and 2.4%, respectively, p for trend = 0.59). The age- and sex-adjusted incidence of all-cause dementia and AD, but not VaD, increased from the 1988 cohort to the 2002 cohort (for all-cause dementia: adjusted hazard ratio [aHR] 1.68, 95% confidence interval [CI] 1.38-2.06; for AD: aHR 2.07, 95% CI 1.59-2.70; for VaD: aHR 1.18, 95% CI 0.83-1.69). The 5-year survival rate of all-cause dementia and AD improved from the 1988 cohort to the 2002 cohort (for all-cause dementia: 47.3% to 65.2%; for AD: 50.7% to 75.1%; all p < 0.01). CONCLUSIONS The increased incidence and improved survival rate of AD could have resulted in the steep increase in AD prevalence in the Japanese elderly.
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Affiliation(s)
- Tomoyuki Ohara
- From the Departments of Neuropsychiatry (T.O., S.K.), Epidemiology and Public Health (T.O., J.H., D.Y., N.M., M.N., T.N.), Neuropathology (T.I.), and Medicine and Clinical Science (J.H., N.M., M.N., T.K.), and Center for Cohort Studies (J.H., D.Y., N.M., T.K., T.N.), Graduate School of Medical Sciences, Kyushu University; and Hisayama Research Institute for Lifestyle Diseases (Y.K.), Fukuoka, Japan.
| | - Jun Hata
- From the Departments of Neuropsychiatry (T.O., S.K.), Epidemiology and Public Health (T.O., J.H., D.Y., N.M., M.N., T.N.), Neuropathology (T.I.), and Medicine and Clinical Science (J.H., N.M., M.N., T.K.), and Center for Cohort Studies (J.H., D.Y., N.M., T.K., T.N.), Graduate School of Medical Sciences, Kyushu University; and Hisayama Research Institute for Lifestyle Diseases (Y.K.), Fukuoka, Japan
| | - Daigo Yoshida
- From the Departments of Neuropsychiatry (T.O., S.K.), Epidemiology and Public Health (T.O., J.H., D.Y., N.M., M.N., T.N.), Neuropathology (T.I.), and Medicine and Clinical Science (J.H., N.M., M.N., T.K.), and Center for Cohort Studies (J.H., D.Y., N.M., T.K., T.N.), Graduate School of Medical Sciences, Kyushu University; and Hisayama Research Institute for Lifestyle Diseases (Y.K.), Fukuoka, Japan
| | - Naoko Mukai
- From the Departments of Neuropsychiatry (T.O., S.K.), Epidemiology and Public Health (T.O., J.H., D.Y., N.M., M.N., T.N.), Neuropathology (T.I.), and Medicine and Clinical Science (J.H., N.M., M.N., T.K.), and Center for Cohort Studies (J.H., D.Y., N.M., T.K., T.N.), Graduate School of Medical Sciences, Kyushu University; and Hisayama Research Institute for Lifestyle Diseases (Y.K.), Fukuoka, Japan
| | - Masaharu Nagata
- From the Departments of Neuropsychiatry (T.O., S.K.), Epidemiology and Public Health (T.O., J.H., D.Y., N.M., M.N., T.N.), Neuropathology (T.I.), and Medicine and Clinical Science (J.H., N.M., M.N., T.K.), and Center for Cohort Studies (J.H., D.Y., N.M., T.K., T.N.), Graduate School of Medical Sciences, Kyushu University; and Hisayama Research Institute for Lifestyle Diseases (Y.K.), Fukuoka, Japan
| | - Toru Iwaki
- From the Departments of Neuropsychiatry (T.O., S.K.), Epidemiology and Public Health (T.O., J.H., D.Y., N.M., M.N., T.N.), Neuropathology (T.I.), and Medicine and Clinical Science (J.H., N.M., M.N., T.K.), and Center for Cohort Studies (J.H., D.Y., N.M., T.K., T.N.), Graduate School of Medical Sciences, Kyushu University; and Hisayama Research Institute for Lifestyle Diseases (Y.K.), Fukuoka, Japan
| | - Takanari Kitazono
- From the Departments of Neuropsychiatry (T.O., S.K.), Epidemiology and Public Health (T.O., J.H., D.Y., N.M., M.N., T.N.), Neuropathology (T.I.), and Medicine and Clinical Science (J.H., N.M., M.N., T.K.), and Center for Cohort Studies (J.H., D.Y., N.M., T.K., T.N.), Graduate School of Medical Sciences, Kyushu University; and Hisayama Research Institute for Lifestyle Diseases (Y.K.), Fukuoka, Japan
| | - Shigenobu Kanba
- From the Departments of Neuropsychiatry (T.O., S.K.), Epidemiology and Public Health (T.O., J.H., D.Y., N.M., M.N., T.N.), Neuropathology (T.I.), and Medicine and Clinical Science (J.H., N.M., M.N., T.K.), and Center for Cohort Studies (J.H., D.Y., N.M., T.K., T.N.), Graduate School of Medical Sciences, Kyushu University; and Hisayama Research Institute for Lifestyle Diseases (Y.K.), Fukuoka, Japan
| | - Yutaka Kiyohara
- From the Departments of Neuropsychiatry (T.O., S.K.), Epidemiology and Public Health (T.O., J.H., D.Y., N.M., M.N., T.N.), Neuropathology (T.I.), and Medicine and Clinical Science (J.H., N.M., M.N., T.K.), and Center for Cohort Studies (J.H., D.Y., N.M., T.K., T.N.), Graduate School of Medical Sciences, Kyushu University; and Hisayama Research Institute for Lifestyle Diseases (Y.K.), Fukuoka, Japan
| | - Toshiharu Ninomiya
- From the Departments of Neuropsychiatry (T.O., S.K.), Epidemiology and Public Health (T.O., J.H., D.Y., N.M., M.N., T.N.), Neuropathology (T.I.), and Medicine and Clinical Science (J.H., N.M., M.N., T.K.), and Center for Cohort Studies (J.H., D.Y., N.M., T.K., T.N.), Graduate School of Medical Sciences, Kyushu University; and Hisayama Research Institute for Lifestyle Diseases (Y.K.), Fukuoka, Japan
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Sakane N, Sato J, Tsushita K, Tsujii S, Kotani K, Tominaga M, Kawazu S, Sato Y, Usui T, Kamae I, Yoshida T, Kiyohara Y, Sato S, Tsuzaki K, Nirengi S, Takahashi K, Kuzuya H, Group JR. Determinants of Glycated Hemoglobin in Subjects With Impaired Glucose Tolerance: Subanalysis of the Japan Diabetes Prevention Program. J Clin Med Res 2017; 9:360-365. [PMID: 28270897 PMCID: PMC5330780 DOI: 10.14740/jocmr2928w] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [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] [Accepted: 01/26/2017] [Indexed: 11/13/2022] Open
Abstract
Background Limited evidence is available about the relationship of lifestyle factors with glycated hemoglobin (HbA1c) in subjects with impaired glucose tolerance. The aim of study was to identify such determinant factors of HbA1c in subjects with impaired glucose tolerance. Methods This cross-sectional study included 121 men and 124 women with impaired glucose tolerance, who were diagnosed based on a 75-g oral glucose tolerance test. Demographic and biochemical parameters, including the body mass index (BMI), fasting plasma glucose (FPG), 2-h post-load glucose (2-h PG), and HbA1c, were measured. The pancreatic β-cell function and insulin resistance were assessed using homeostasis model assessment (HOMA-β). Dietary intake was assessed by a food frequency questionnaire. Results The levels of FPG, 2-h PG, and carbohydrate intake were correlated with the HbA1c level in men, while the FPG and 2-h PG levels were correlated with the HbA1c level in women. In multiple regression analyses, BMI, FPG, 2-h PG, and white rice intake were associated with HbA1c levels in men, while BMI, FPG, HOMA-β, and bread intake were associated with HbA1c levels in women. Conclusions The present findings suggest that a substantial portion of HbA1c may be composed of not only glycemic but also several lifestyle factors in men with impaired glucose tolerance. These factors can be taken into consideration as modifiable determinants in assessing the HbA1c level for the diagnosis and therapeutic monitoring of the disease course.
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Affiliation(s)
- Naoki Sakane
- Division of Preventive Medicine, Clinical Research Institute, National Hospital Organization Kyoto Medical Center, Kyoto, Japan
| | - Juichi Sato
- Department of General Medicine/Family & Community Medicine, University Graduate School of Medicine, Nagoya, Japan
| | - Kazuyo Tsushita
- Comprehensive Health Science Center, Aichi Health Promotion Foundation, Higashiura-cho, Aichi, Japan
| | - Satoru Tsujii
- Diabetes Center, Tenri Yorozu-sodansho Hospital, Tenri, Japan
| | - Kazuhiko Kotani
- Division of Preventive Medicine, Clinical Research Institute, National Hospital Organization Kyoto Medical Center, Kyoto, Japan; Division of Community and Family Medicine, Jichi Medical University, Tochigi, Japan
| | - Makoto Tominaga
- Division of Internal Medicine, Hananoie Hospital, Tochigi, Japan
| | - Shoji Kawazu
- Department of Diabetes and Metabolism, Marunouchi Hospital, The Institute for Adult Diseases, Asahi Life Foundation, Tokyo, Japan
| | - Yuzo Sato
- The Graduate Center of Human Science, Aichi Mizuho College, Nagoya, Japan
| | - Takeshi Usui
- Division of Endocrinology, Clinical Research Institute, National Hospital Organization Kyoto Medical Center, Kyoto, Japan
| | - Isao Kamae
- Graduate School of Public Policy, The University of Tokyo, Tokyo, Japan
| | | | - Yutaka Kiyohara
- Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyusyu University, Fukuoka, Japan
| | - Shigeaki Sato
- Hirakata General Hospital for Developmental Disorders, Hirakata, Osaka, Japan
| | - Kokoro Tsuzaki
- Division of Preventive Medicine, Clinical Research Institute, National Hospital Organization Kyoto Medical Center, Kyoto, Japan
| | - Shinsuke Nirengi
- Division of Preventive Medicine, Clinical Research Institute, National Hospital Organization Kyoto Medical Center, Kyoto, Japan
| | - Kaoru Takahashi
- Division of Preventive Medicine, Clinical Research Institute, National Hospital Organization Kyoto Medical Center, Kyoto, Japan; Hyogo Health Service Association, Kobe, Japan
| | - Hideshi Kuzuya
- Division of Preventive Medicine, Clinical Research Institute, National Hospital Organization Kyoto Medical Center, Kyoto, Japan; Higashiyama Takeda Hospital, Kyoto, Japan
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Ukawa S, Nakamura K, Okada E, Hirata M, Nagai A, Yamagata Z, Muto K, Matsuda K, Ninomiya T, Kiyohara Y, Kamatani Y, Kubo M, Nakamura Y, Tamakoshi A. Clinical and histopathological characteristics of patients with prostate cancer in the BioBank Japan project. J Epidemiol 2017; 27:S65-S70. [PMID: 28215481 PMCID: PMC5350593 DOI: 10.1016/j.je.2016.12.008] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [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: 10/17/2016] [Revised: 12/09/2016] [Accepted: 12/11/2016] [Indexed: 11/03/2022] Open
Abstract
Background Prostate cancer is the sixth leading cause of cancer-related deaths in Japan. We aimed to elucidate the clinical and histopathological characteristics of patients with prostate cancer in the BioBank Japan (BBJ) project. Methods Four thousand, seven hundred and ninety-three patients diagnosed with prostate cancer in the BBJ project were included. Clinical and histopathological data, including causes of death, were analyzed. Relative survival (RS) rates of prostate cancer were calculated. Results Four thousand, one hundred and seventy-one prostate cancer patients with available histological data had adenocarcinoma. The mean age of the patients was 72.5 years. The proportion of patients who were non-smokers, non-drinkers, had a normal body mass index, did not exercise, had a normal prostate-specific antigen level, and had a family history of prostate cancer were 30.7%, 28.0%, 66.6%, 58.1%, 67.6%, and 6.5%, respectively. The proportion of patients with Stage II, III, and IV disease were 24.4%, 7.3%, and 4.4%, respectively. After limiting to patients with a time from the initial diagnosis of prostate cancer to entry into the study cohort of ≤90 days (n = 869), the 5- and 10-year RS rates were 96.3% and 100.5%, respectively, although we were unable to consider management strategies due to a plenty of data missing. Conclusions We provide an overview of patients with prostate cancer in the BBJ project. Our findings, coupled with those from various high throughput “omics” technologies, will contribute to the implementation of prevention interventions and medical management of prostate cancer patients. Prostate cancer represents the second leading cause of cancer incidence worldwide. We aimed to provide an overview of patients with prostate cancer. Based on prostate cancer histology, 99.3% had adenocarcinoma. The 5- and 10-year relative survival rates were 96.3% and 100.5%. Future studies will help develop preventive programs for prostate cancer.
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Affiliation(s)
- Shigekazu Ukawa
- Department of Public Health, Hokkaido University Graduate School of Medicine, Hokkaido, Japan
| | - Koshi Nakamura
- Department of Public Health, Hokkaido University Graduate School of Medicine, Hokkaido, Japan
| | - Emiko Okada
- Department of Public Health, Hokkaido University Graduate School of Medicine, Hokkaido, Japan
| | - Makoto Hirata
- Laboratory of Genome Technology, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Akiko Nagai
- Department of Public Policy, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Zentaro Yamagata
- Department of Health Sciences, University of Yamanashi, Yamanashi, Japan
| | - Kaori Muto
- Department of Public Policy, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Koichi Matsuda
- Laboratory of Molecular Medicine, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Toshiharu Ninomiya
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Yutaka Kiyohara
- Hisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan
| | - Yoichiro Kamatani
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan
| | - Michiaki Kubo
- RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan
| | - Yusuke Nakamura
- Laboratory of Molecular Medicine, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | | | - Akiko Tamakoshi
- Department of Public Health, Hokkaido University Graduate School of Medicine, Hokkaido, Japan.
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Ukawa S, Okada E, Nakamura K, Hirata M, Nagai A, Matsuda K, Yamagata Z, Kamatani Y, Ninomiya T, Kiyohara Y, Muto K, Kubo M, Nakamura Y, Tamakoshi A. Characteristics of patients with liver cancer in the BioBank Japan project. J Epidemiol 2017; 27:S43-S48. [PMID: 28214185 PMCID: PMC5350594 DOI: 10.1016/j.je.2016.12.007] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [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: 10/18/2016] [Revised: 12/09/2016] [Accepted: 12/11/2016] [Indexed: 01/23/2023] Open
Abstract
Background Liver cancer is the fifth cause of cancer-related deaths in Japan. The BioBank Japan (BBJ) project included 200,000 patients with 47 diseases and samples; their clinical information can be used for further studies. Methods Patients diagnosed with liver cancer (n = 1733; 1316 men, 417 women) were included. Histology, patient characteristics, clinical characteristics, and causes of death were collected. Cumulative and relative survival rates for liver cancer were calculated. Results Of the 1354 patients with available liver cancer histology, 91.9% had hepatocellular carcinoma (HCC). Compared with the National Health and Nutrition Examination Survey, greater proportions of the male patients in this cohort were daily alcohol consumers (26%), and a greater proportion of the men was overweight/obesity (22%). Although Japan is the only Asian country with a predominance of hepatitis C virus (HCV)-related HCC, the prevalence of HCV infection (44%) was lower than that in a previous study. The 3-, 5-, and 10-year cumulative survival rates were 57%, 47%, and 25% in men, respectively, and 49%, 41%, and 27% in women, respectively. Conclusions The present results provide an overview of the patients with liver cancer in the BBJ project. We are planning further analyses combined with various high-throughput ‘omics’ technologies. Liver cancer is the second leading cause of death worldwide. We aimed to provide an overview of patients with liver cancer. Based on liver cancer histology, 91.9% had hepatocellular carcinoma. The 10-year relative survival rates were 34% in men and 38% in women. Future studies will help develop preventive programs for liver cancer.
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Affiliation(s)
- Shigekazu Ukawa
- Department of Public Health, Hokkaido University Graduate School of Medicine, Hokkaido, Japan
| | - Emiko Okada
- Department of Public Health, Hokkaido University Graduate School of Medicine, Hokkaido, Japan
| | - Koshi Nakamura
- Department of Public Health, Hokkaido University Graduate School of Medicine, Hokkaido, Japan
| | - Makoto Hirata
- Laboratory of Genome Technology, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Akiko Nagai
- Department of Public Policy, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Koichi Matsuda
- Laboratory of Molecular Medicine, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Zentaro Yamagata
- Department of Health Sciences, University of Yamanashi, Yamanashi, Japan
| | - Yoichiro Kamatani
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan
| | - Toshiharu Ninomiya
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Yutaka Kiyohara
- Hisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan
| | - Kaori Muto
- Department of Public Policy, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Michiaki Kubo
- RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan
| | - Yusuke Nakamura
- Laboratory of Molecular Medicine, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | | | - Akiko Tamakoshi
- Department of Public Health, Hokkaido University Graduate School of Medicine, Hokkaido, Japan.
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Nakamura K, Ukawa S, Okada E, Hirata M, Nagai A, Yamagata Z, Ninomiya T, Muto K, Kiyohara Y, Matsuda K, Kamatani Y, Kubo M, Nakamura Y, Tamakoshi A. Characteristics and prognosis of Japanese male and female lung cancer patients: The BioBank Japan Project. J Epidemiol 2017; 27:S49-S57. [PMID: 28202209 PMCID: PMC5350589 DOI: 10.1016/j.je.2016.12.010] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [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: 10/18/2016] [Revised: 12/09/2016] [Accepted: 12/11/2016] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND In Japanese males and females, lung cancer is currently the second and fourth most common type of cancer, and the first and second leading cause of cancer-related deaths, respectively. METHODS Of all Japanese male and female lung cancer patients aged ≥20 years whom the BioBank Japan Project originally enrolled between 2003 and 2008, 764 males and 415 females were registered within 90 days after their diagnosis. We described the lifestyle and clinical characteristics of these patients at study entry. Furthermore, we examined the effect of these characteristics on all-cause mortality. RESULTS In the lung cancer patients registered within 90 days, the frequencies of occult or stage 0, stage I, II, III and IV were 0.4%, 55.8%, 10.8%, 22.0% and 11.0% for males and 0.3%, 62.4%, 9.9%, 17.1% and 10.2% for females, respectively. The proportions of histological types in males and females were 56.3% and 82.4% for adenocarcinoma, 26.9% and 8.2% for squamous cell carcinoma, 4.5% and 1.5% for large cell carcinoma, 7.7% and 4.1% for small cell carcinoma and 4.6% and 3.8% for others, respectively. Among 1120 participants who registered within 90 days, 572 participants died during 5811 person-years of follow-up. Low body mass index, ever smoker, more advanced stage, squamous cell or small cell carcinoma and high serum carcinoembryonic antigen level at study entry were crudely associated with an increased risk of all-cause mortality after adjustment for age. CONCLUSIONS This study showed the association of several lifestyle and clinical characteristics with all-cause mortality in lung cancer patients.
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Affiliation(s)
- Koshi Nakamura
- Department of Public Health, Hokkaido University Graduate School of Medicine, Sapporo, Japan
| | - Shigekazu Ukawa
- Department of Public Health, Hokkaido University Graduate School of Medicine, Sapporo, Japan
| | - Emiko Okada
- Department of Public Health, Hokkaido University Graduate School of Medicine, Sapporo, Japan
| | - Makoto Hirata
- Laboratory of Genome Technology, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Akiko Nagai
- Department of Public Policy, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Zentaro Yamagata
- Department of Health Sciences, University of Yamanashi, Yamanashi, Japan
| | - Toshiharu Ninomiya
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Kaori Muto
- Department of Public Policy, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Yutaka Kiyohara
- Hisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan
| | - Koichi Matsuda
- Laboratory of Molecular Medicine, Institute of Medical Science, The University of Tokyo, Tokyo, Japan; Laboratory of Clinical Genome Sequencing, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan
| | - Yoichiro Kamatani
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Michiaki Kubo
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Yusuke Nakamura
- Laboratory of Molecular Medicine, Institute of Medical Science, The University of Tokyo, Tokyo, Japan; Section of Hematology/Oncology, Department of Medicine, The University of Chicago, Chicago, USA
| | | | - Akiko Tamakoshi
- Department of Public Health, Hokkaido University Graduate School of Medicine, Sapporo, Japan.
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Yokomichi H, Nagai A, Hirata M, Tamakoshi A, Kiyohara Y, Kamatani Y, Muto K, Ninomiya T, Matsuda K, Kubo M, Nakamura Y, Yamagata Z. Statin use and all-cause and cancer mortality: BioBank Japan cohort. J Epidemiol 2017; 27:S84-S91. [PMID: 28196737 PMCID: PMC5350595 DOI: 10.1016/j.je.2016.12.011] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [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: 10/23/2016] [Revised: 12/10/2016] [Accepted: 12/15/2016] [Indexed: 10/25/2022] Open
Abstract
BACKGROUND Statins are the first-line agents used to treat patients with high serum low-density lipoprotein cholesterol levels, thus reducing the risk of death from arterial sclerotic cardiovascular disease; however, little is known about the effects of non-statin pharmacological interventions on mortality as well as about the potential protective effects of statin use against cancer death. This work aimed to compare all-cause and cancer mortality among patients with hyperlipidaemia who did and did not receive statin treatment. METHODS Between 2003 and 2007 fiscal years, we recruited Japanese patients diagnosed with hyperlipidaemia from 66 hospitals. Patients in our cohort were followed up for a maximum of 12 years to observe the causes of death. Kaplan-Meier estimates from the baseline were used to compare the mortality of patients based on the administered medicine. All-cause mortality were compared among patients with/without administration of statins and other agents; any-organ and colorectal cancer mortality were compared between patients with/without administration of statins. RESULTS Our cohort included 41,930 patients with mean ages of 64-66 years and mean body mass indices of 24-25 kg/m2. Patients who received statin monotherapy and were treated with lifestyle modification exhibited nearly identical survival curves, whereas statin use represented a non-significant but potentially protective effect against colorectal cancer-related mortality. The lowest mortality in this cohort was associated with resin monotherapy. CONCLUSIONS Mortality rate has been similar for patients treated with statin monotherapy and lifestyle modification. Statin monotherapy could potentially reduce any-organ- and colorectal cancer-related mortality.
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Affiliation(s)
- Hiroshi Yokomichi
- Department of Health Sciences, University of Yamanashi, Yamanashi, Japan.
| | - Akiko Nagai
- Department of Public Policy, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Makoto Hirata
- Laboratory of Genome Technology, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Akiko Tamakoshi
- Department of Public Health, Hokkaido University Graduate School of Medicine, Sapporo, Japan
| | - Yutaka Kiyohara
- Hisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan
| | - Yoichiro Kamatani
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Kaori Muto
- Department of Public Policy, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Toshiharu Ninomiya
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Koichi Matsuda
- Laboratory of Molecular Medicine, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Michiaki Kubo
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Yusuke Nakamura
- Laboratory of Molecular Medicine, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | | | - Zentaro Yamagata
- Department of Health Sciences, University of Yamanashi, Yamanashi, Japan
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Hirata M, Nagai A, Kamatani Y, Ninomiya T, Tamakoshi A, Yamagata Z, Kubo M, Muto K, Kiyohara Y, Mushiroda T, Murakami Y, Yuji K, Furukawa Y, Zembutsu H, Tanaka T, Ohnishi Y, Nakamura Y, Matsuda K. Overview of BioBank Japan follow-up data in 32 diseases. J Epidemiol 2017; 27:S22-S28. [PMID: 28190660 PMCID: PMC5363789 DOI: 10.1016/j.je.2016.12.006] [Citation(s) in RCA: 44] [Impact Index Per Article: 6.3] [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: 10/22/2016] [Accepted: 12/15/2016] [Indexed: 01/23/2023] Open
Abstract
Background We established a patient-oriented biobank, BioBank Japan, with information on approximately 200,000 patients, suffering from any of 47 common diseases. This follow-up survey focused on 32 diseases, potentially associated with poor vital prognosis, and collected patient survival information, including cause of death. We performed a survival analysis for all subjects to get an overview of BioBank Japan follow-up data. Methods A total of 141,612 participants were included. The survival data were last updated in 2014. Kaplan–Meier survival analysis was performed after categorizing subjects according to sex, age group, and disease status. Relative survival rates were estimated using a survival-rate table of the Japanese general population. Results Of 141,612 subjects (56.48% male) with 1,087,434 person-years and a 97.0% follow-up rate, 35,482 patients died during follow-up. Mean age at enrollment was 64.24 years for male subjects and 63.98 years for female subjects. The 5-year and 10-year relative survival rates for all subjects were 0.944 and 0.911, respectively, with a median follow-up duration of 8.40 years. Patients with pancreatic cancer had the least favorable prognosis (10-year relative survival: 0.184) and patients with dyslipidemia had the most favorable prognosis (1.013). The most common cause of death was malignant neoplasms. A number of subjects died from diseases other than their registered disease(s). Conclusions This is the first report to perform follow-up survival analysis across various common diseases. Further studies should use detailed clinical and genomic information to identify predictors of mortality in patients with common diseases, contributing to the implementation of personalized medicine. 141,612 participants with any of 32 diseases were included in the follow-up survey. Subject characteristics at enrollment for the follow-up survey were identified. The relative survival analysis showed the worst prognosis in pancreatic cancer. The most common cause of death in all subjects was malignant neoplasms.
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Affiliation(s)
- Makoto Hirata
- Laboratory of Genome Technology, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Akiko Nagai
- Department of Public Policy, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Yoichiro Kamatani
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Toshiharu Ninomiya
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Akiko Tamakoshi
- Department of Public Health, Hokkaido University Graduate School of Medicine, Sapporo, Japan
| | - Zentaro Yamagata
- Department of Health Sciences, University of Yamanashi, Yamanashi, Japan
| | - Michiaki Kubo
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Kaori Muto
- Department of Public Policy, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Yutaka Kiyohara
- Hisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan
| | - Taisei Mushiroda
- Laboratory for Pharmacogenomics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Yoshinori Murakami
- Division of Molecular Pathology, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Koichiro Yuji
- Project Division of International Advanced Medical Research, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Yoichi Furukawa
- Division of Clinical Genome Research, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Hitoshi Zembutsu
- Laboratory of Molecular Medicine, Institute of Medical Science, The University of Tokyo, Tokyo, Japan; Division of Genetics, National Cancer Center Research Institute, Tokyo, Japan
| | - Toshihiro Tanaka
- SNP Research Center, RIKEN Yokohama Institute, Yokohama, Japan; Department of Human Genetics and Disease Diversity, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan; Bioresource Research Center, Tokyo Medical and Dental University, Tokyo, Japan
| | - Yozo Ohnishi
- SNP Research Center, RIKEN Yokohama Institute, Yokohama, Japan; Shinko Clinic, Medical Corporation Shinkokai, Tokyo, Japan
| | - Yusuke Nakamura
- Laboratory of Molecular Medicine, Institute of Medical Science, The University of Tokyo, Tokyo, Japan; Section of Hematology/Oncology, Department of Medicine, The University of Chicago, Chicago, USA
| | | | - Koichi Matsuda
- Laboratory of Molecular Medicine, Institute of Medical Science, The University of Tokyo, Tokyo, Japan; Laboratory of Clinical Genome Sequencing, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan.
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Yokomichi H, Nagai A, Hirata M, Kiyohara Y, Muto K, Ninomiya T, Matsuda K, Kamatani Y, Tamakoshi A, Kubo M, Nakamura Y, Yamagata Z. Survival of macrovascular disease, chronic kidney disease, chronic respiratory disease, cancer and smoking in patients with type 2 diabetes: BioBank Japan cohort. J Epidemiol 2017; 27:S98-S106. [PMID: 28209242 PMCID: PMC5350597 DOI: 10.1016/j.je.2016.12.012] [Citation(s) in RCA: 14] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2016] [Revised: 12/12/2016] [Accepted: 12/15/2016] [Indexed: 01/09/2023] Open
Abstract
Background The number of patients with diabetes is increasing worldwide. Macrovascular disease, chronic kidney disease, chronic respiratory disease, cancer and smoking frequently accompany type 2 diabetes. Few data are available related to mortality of Asians with diabetes associated with these serious comorbidities. The present study aimed to quantify the excess mortality risks of type 2 diabetic patients with comorbidities. Methods We analysed the available records of 30,834 Japanese patients with type 2 diabetes from the BioBank Japan Project between 2003 and 2007. Men and women were followed up for median 8.03 and 8.30 years, respectively. We applied Cox proportional hazard model and Kaplan–Meier estimates for survival curves to evaluate mortality in diabetic patients with or without macrovascular disease, chronic respiratory disease, chronic kidney disease, cancer and smoking. Results Adjusted hazard ratios (HRs) for mortality were 1.39 (95% CI, 1.09–1.78) for male sex, 2.01 (95% CI, 1.78–2.26) per 10-year increment of age. Adjusted HRs of primary interest were 1.77 (95% CI, 1.42–2.22), macrovascular disease; 1.58 (95% CI, 1.08–2.31), chronic respiratory disease; 2.03 (95% CI, 1.67–2.47), chronic kidney disease; 1.16 (95% CI, 0.86–1.56), cancer; and 1.74 (95% CI, 1.30–2.31), current smoking. Conclusions Diabetic patients with a past or current history of chronic kidney, macrovascular or respiratory diseases or smoking habit have exhibited the highest risk of mortality. Data were limited to those of survivors of comorbidities but we propose the need to improve comorbidities and terminate cigarette smoking for better prognosis in patients with diabetes. Fatal diseases frequently accompany diabetes. Data for survival of Asian patients with diabetes with comorbidities are scarce. Comorbid chronic kidney disease was associated with the most fatalities. Current smoking was as fatal as 10 years of ageing in diabetic patients. Values of 1% HbA1c and 10 mmHg blood pressure confer 11% excess mortality risk.
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Affiliation(s)
- Hiroshi Yokomichi
- Department of Health Sciences, University of Yamanashi, Yamanashi, Japan.
| | - Akiko Nagai
- Department of Public Policy, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Makoto Hirata
- Laboratory of Genome Technology, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Yutaka Kiyohara
- Hisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan
| | - Kaori Muto
- Department of Public Policy, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Toshiharu Ninomiya
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Koichi Matsuda
- Laboratory of Molecular Medicine, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Yoichiro Kamatani
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Akiko Tamakoshi
- Department of Public Health, Hokkaido University Graduate School of Medicine, Sapporo, Japan
| | - Michiaki Kubo
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Yusuke Nakamura
- Laboratory of Molecular Medicine, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | | | - Zentaro Yamagata
- Department of Health Sciences, University of Yamanashi, Yamanashi, Japan
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Hirata M, Kamatani Y, Nagai A, Kiyohara Y, Ninomiya T, Tamakoshi A, Yamagata Z, Kubo M, Muto K, Mushiroda T, Murakami Y, Yuji K, Furukawa Y, Zembutsu H, Tanaka T, Ohnishi Y, Nakamura Y, Matsuda K. Cross-sectional analysis of BioBank Japan clinical data: A large cohort of 200,000 patients with 47 common diseases. J Epidemiol 2017; 27:S9-S21. [PMID: 28190657 PMCID: PMC5363792 DOI: 10.1016/j.je.2016.12.003] [Citation(s) in RCA: 104] [Impact Index Per Article: 14.9] [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: 10/22/2016] [Accepted: 12/15/2016] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND To implement personalized medicine, we established a large-scale patient cohort, BioBank Japan, in 2003. BioBank Japan contains DNA, serum, and clinical information derived from approximately 200,000 patients with 47 diseases. Serum and clinical information were collected annually until 2012. METHODS We analyzed clinical information of participants at enrollment, including age, sex, body mass index, hypertension, and smoking and drinking status, across 47 diseases, and compared the results with the Japanese database on Patient Survey and National Health and Nutrition Survey. We conducted multivariate logistic regression analysis, adjusting for sex and age, to assess the association between family history and disease development. RESULTS Distribution of age at enrollment reflected the typical age of disease onset. Analysis of the clinical information revealed strong associations between smoking and chronic obstructive pulmonary disease, drinking and esophageal cancer, high body mass index and metabolic disease, and hypertension and cardiovascular disease. Logistic regression analysis showed that individuals with a family history of keloid exhibited a higher odds ratio than those without a family history, highlighting the strong impact of host genetic factor(s) on disease onset. CONCLUSIONS Cross-sectional analysis of the clinical information of participants at enrollment revealed characteristics of the present cohort. Analysis of family history revealed the impact of host genetic factors on each disease. BioBank Japan, by publicly distributing DNA, serum, and clinical information, could be a fundamental infrastructure for the implementation of personalized medicine.
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Affiliation(s)
- Makoto Hirata
- Laboratory of Genome Technology, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Yoichiro Kamatani
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Akiko Nagai
- Department of Public Policy, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Yutaka Kiyohara
- Hisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan
| | - Toshiharu Ninomiya
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Akiko Tamakoshi
- Department of Public Health, Hokkaido University Graduate School of Medicine, Sapporo, Japan
| | - Zentaro Yamagata
- Department of Health Sciences, University of Yamanashi, Yamanashi, Japan
| | - Michiaki Kubo
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Kaori Muto
- Department of Public Policy, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Taisei Mushiroda
- Laboratory for Pharmacogenomics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Yoshinori Murakami
- Division of Molecular Pathology, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Koichiro Yuji
- Project Division of International Advanced Medical Research, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Yoichi Furukawa
- Division of Clinical Genome Research, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Hitoshi Zembutsu
- Laboratory of Molecular Medicine, Institute of Medical Science, The University of Tokyo, Tokyo, Japan; Division of Genetics, National Cancer Center Research Institute, Tokyo, Japan
| | - Toshihiro Tanaka
- SNP Research Center, RIKEN Yokohama Institute, Yokohama, Japan; Department of Human Genetics and Disease Diversity, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan; Bioresource Research Center, Tokyo Medical and Dental University, Tokyo, Japan
| | - Yozo Ohnishi
- SNP Research Center, RIKEN Yokohama Institute, Yokohama, Japan; Shinko Clinic, Medical Corporation Shinkokai, Tokyo, Japan
| | - Yusuke Nakamura
- Laboratory of Molecular Medicine, Institute of Medical Science, The University of Tokyo, Tokyo, Japan; Section of Hematology/Oncology, Department of Medicine, The University of Chicago, Chicago, USA
| | | | - Koichi Matsuda
- Laboratory of Molecular Medicine, Institute of Medical Science, The University of Tokyo, Tokyo, Japan; Laboratory of Clinical Genome Sequencing, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan.
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Okada E, Ukawa S, Nakamura K, Hirata M, Nagai A, Matsuda K, Ninomiya T, Kiyohara Y, Muto K, Kamatani Y, Yamagata Z, Kubo M, Nakamura Y, Tamakoshi A. Demographic and lifestyle factors and survival among patients with esophageal and gastric cancer: The Biobank Japan Project. J Epidemiol 2017; 27:S29-S35. [PMID: 28190659 PMCID: PMC5350592 DOI: 10.1016/j.je.2016.12.002] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2016] [Accepted: 12/15/2016] [Indexed: 01/27/2023] Open
Abstract
Background Several studies have evaluated associations between the characteristics of patients with esophageal and gastric cancer and survival, but these associations remain unclear. We described the distribution of demographic and lifestyle factors among patients with esophageal and gastric cancer in Japan, and investigated their potential effects on survival. Methods Between 2003 and 2007, 24- to 95-year-old Japanese patients with esophageal and gastric cancer were enrolled in the BioBank Japan Project. The analysis included 365 patients with esophageal squamous cell carcinoma (ESCC) and 1574 patients with gastric cancer. Hazard ratios (HRs) and 95% confidence intervals (CIs) for mortality were estimated using medical institution-stratified Cox proportional hazards models. Results During follow-up, 213 patients with ESCC (median follow-up, 4.4 years) and 603 patients with gastric cancer (median follow-up, 6.1 years) died. Among patients with ESCC, the mortality risk was higher in ever drinkers versus never drinkers (multivariable HR = 2.37, 95% CI: 1.24, 4.53). Among patients with gastric cancer, the mortality risk was higher in underweight patients versus patients of normal weight (multivariable HR = 1.66, 95% CI: 1.34, 2.05). Compared to patients with gastric cancer with no physical exercise habit, those who exercised ≥3 times/week had a lower mortality risk (multivariate HR = 0.75, 95% CI = 0.61, 0.93). However, lack of stage in many cases was a limitation. Conclusions Among patients with ESCC, alcohol drinkers have a poor prognosis. Patients with gastric cancer who are underweight also have a poor prognosis, whereas patients with physical exercise habits have a good prognosis. Among ESCC patients, alcohol drinkers had a poor prognosis. Underweight gastric cancer patients had a poor prognosis. Gastric cancer patients who exercised had a good prognosis. No association between esophageal or gastric cancer and smoking was observed.
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Affiliation(s)
- Emiko Okada
- Department of Public Health, Hokkaido University Graduate School of Medicine, Sapporo, Japan
| | - Shigekazu Ukawa
- Department of Public Health, Hokkaido University Graduate School of Medicine, Sapporo, Japan
| | - Koshi Nakamura
- Department of Public Health, Hokkaido University Graduate School of Medicine, Sapporo, Japan
| | - Makoto Hirata
- Laboratory of Genome Technology, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Akiko Nagai
- Department of Public Policy, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Koichi Matsuda
- Laboratory of Molecular Medicine, Institute of Medical Science, The University of Tokyo, Tokyo, Japan; Laboratory of Clinical Genome Sequencing, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan
| | - Toshiharu Ninomiya
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Yutaka Kiyohara
- Hisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan
| | - Kaori Muto
- Department of Public Policy, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Yoichiro Kamatani
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Zentaro Yamagata
- Department of Health Sciences, University of Yamanashi, Yamanashi, Japan
| | - Michiaki Kubo
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Yusuke Nakamura
- Laboratory of Molecular Medicine, Institute of Medical Science, The University of Tokyo, Tokyo, Japan; Section of Hematology/Oncology, Department of Medicine, The University of Chicago, Chicago, USA
| | | | - Akiko Tamakoshi
- Department of Public Health, Hokkaido University Graduate School of Medicine, Sapporo, Japan.
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Yokomichi H, Nagai A, Hirata M, Kiyohara Y, Muto K, Ninomiya T, Matsuda K, Kamatani Y, Tamakoshi A, Kubo M, Nakamura Y, Yamagata Z. Serum glucose, cholesterol and blood pressure levels in Japanese type 1 and 2 diabetic patients: BioBank Japan. J Epidemiol 2017; 27:S92-S97. [PMID: 28162891 PMCID: PMC5350587 DOI: 10.1016/j.je.2016.12.013] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [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: 10/23/2016] [Revised: 12/08/2016] [Accepted: 12/11/2016] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Evidence of characteristics of Japanese patients with diabetes from a large-scale population is necessary. Few studies have compared glycaemic controls, complications and comorbidities between type 1 and 2 diabetic patients. This paper focuses on illustrating a clinical picture of Japanese diabetic patients and comparing glycaemic control and prognoses between type 1 and 2 diabetes using multi-institutional data. METHODS The BioBank Japan Project enrolled adult type 1 and 2 diabetic patients between fiscal years 2003 and 2007. We have presented characteristics, controls of serum glucose, cholesterol and blood pressure, prevalence of complications and comorbidities and survival curves. We have also shown glycaemic controls according to various individual profiles of diabetic patients. RESULTS A total of 558 type 1 diabetic patients and 30,834 type 2 diabetic patients participated in this study. The mean glycated haemoglobin A1c was higher in type 1 diabetes than in type 2 diabetes. In the type 1 diabetic patients, the glycated haemoglobin A1c had no consistent trend according to age and body mass index. The Kaplan-Meier estimates represented a longer survival time from baseline with type 1 diabetes than with type 2 diabetes. Compared with type 1 diabetic patients, type 2 diabetic patients had double the prevalence of macrovascular complications. CONCLUSIONS This work has revealed detailed plasma glucose levels of type 1 and 2 diabetic patients according to age, body mass index, blood pressure, serum cholesterol levels and smoking and drinking habits. Our data have also shown that the prognosis is worse for type 2 diabetes than for type 1 diabetes in Japan.
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Affiliation(s)
- Hiroshi Yokomichi
- Department of Health Sciences, University of Yamanashi, Yamanashi, Japan.
| | - Akiko Nagai
- Department of Public Policy, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Makoto Hirata
- Laboratory of Genome Technology, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Yutaka Kiyohara
- Hisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan
| | - Kaori Muto
- Department of Public Policy, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Toshiharu Ninomiya
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka City, Fukuoka, Japan
| | - Koichi Matsuda
- Laboratory of Molecular Medicine, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Yoichiro Kamatani
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Akiko Tamakoshi
- Department of Public Health, Hokkaido University Graduate School of Medicine, Sapporo, Japan
| | - Michiaki Kubo
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Yusuke Nakamura
- Laboratory of Molecular Medicine, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | | | - Zentaro Yamagata
- Department of Health Sciences, University of Yamanashi, Yamanashi, Japan
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Hirakawa Y, Ninomiya T, Kiyohara Y, Murakami Y, Saitoh S, Nakagawa H, Okayama A, Tamakoshi A, Sakata K, Miura K, Ueshima H, Okamura T. Age-specific impact of diabetes mellitus on the risk of cardiovascular mortality: An overview from the evidence for Cardiovascular Prevention from Observational Cohorts in the Japan Research Group (EPOCH-JAPAN). J Epidemiol 2017; 27:123-129. [PMID: 28142033 PMCID: PMC5350618 DOI: 10.1016/j.je.2016.04.001] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [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: 11/17/2015] [Accepted: 04/19/2016] [Indexed: 11/18/2022] Open
Abstract
Background Diabetes mellitus is a strong risk factor for cardiovascular disease. However, the age-specific association of diabetes with cardiovascular risk, especially in the elderly, remains unclear in non-Western populations. Methods A pooled analysis was conducted using 8 cohort studies (mean follow-up period, 10.3 years) in Japan, combining the data from 38,854 individual participants without history of cardiovascular disease. In all, 1867 of the participants had diabetes, defined based on the 1998 World Health Organization criteria. The association between diabetes and the risk of death from cardiovascular disease, coronary heart disease (CHD), and stroke was estimated using a stratified Cox model, accounting for variability of baseline hazard functions among cohorts. Results During the follow-up, 1376 subjects died of cardiovascular disease (including 268 of coronary heart disease and 621 of stroke). Diabetes was associated with an increased risk of cardiovascular death after multivariable adjustment (hazard ratio [HR] 1.62; 95% confidence interval [CI], 1.35–1.94). Similarly, diabetes was a risk factor for CHD (HR 2.13; 95% CI, 1.47–3.09) and stroke (HR 1.40; 95% CI, 1.05–1.85). In the age-stratified analysis of the risk of cardiovascular death, the relative effects of diabetes were consistent across age groups (p for heterogeneity = 0.18), whereas the excess absolute risks of diabetes were greater in participants in their 70s and 80s than in younger subjects. Conclusions The management of diabetes is important to reduce the risk of death from cardiovascular disease, not only in midlife but also in late life, in the Japanese population. We conducted meta-analysis of individual data from 8 Japanese cohorts (n = 38,854). Diabetes raised cardiovascular mortality in Japan. Impact of diabetes on cardiovascular death was similar across 10-year age groups.
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Affiliation(s)
- Yoichiro Hirakawa
- Department of Environmental Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Toshiharu Ninomiya
- Division of Research Management, Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
| | - Yutaka Kiyohara
- Department of Environmental Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Yoshitaka Murakami
- Department of Medical Statistics, Faculty of Medicine, Toho University, Tokyo, Japan
| | - Shigeyuki Saitoh
- Department of Nursing, Sapporo Medical University School of Health Sciences, Sapporo, Japan
| | - Hideaki Nakagawa
- Department of Epidemiology and Public Health, Kanazawa Medical University, Uchinada, Ishikawa, Japan
| | - Akira Okayama
- Research Institute of Strategy for Prevention, Tokyo, Japan
| | - Akiko Tamakoshi
- Department of Public Health Sciences, Hokkaido University Graduate School of Medicine, Sapporo, Japan
| | - Kiyomi Sakata
- Department of Hygiene and Preventive Medicine, Iwate Medical University, Morioka, Japan
| | - Katsuyuki Miura
- Department of Public Health, Center for Epidemiologic Research in Asia, Shiga University of Medical Science, Otsu, Japan
| | - Hirotsugu Ueshima
- Department of Public Health, Center for Epidemiologic Research in Asia, Shiga University of Medical Science, Otsu, Japan
| | - Tomonori Okamura
- Department of Preventive Medicine and Public Health, School of Medicine, Keio University, Tokyo, Japan
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46
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Hachiya T, Kamatani Y, Takahashi A, Hata J, Furukawa R, Shiwa Y, Yamaji T, Hara M, Tanno K, Ohmomo H, Ono K, Takashima N, Matsuda K, Wakai K, Sawada N, Iwasaki M, Yamagishi K, Ago T, Ninomiya T, Fukushima A, Hozawa A, Minegishi N, Satoh M, Endo R, Sasaki M, Sakata K, Kobayashi S, Ogasawara K, Nakamura M, Hitomi J, Kita Y, Tanaka K, Iso H, Kitazono T, Kubo M, Tanaka H, Tsugane S, Kiyohara Y, Yamamoto M, Sobue K, Shimizu A. Genetic Predisposition to Ischemic Stroke: A Polygenic Risk Score. Stroke 2016; 48:253-258. [PMID: 28034966 PMCID: PMC5266416 DOI: 10.1161/strokeaha.116.014506] [Citation(s) in RCA: 52] [Impact Index Per Article: 6.5] [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: 06/23/2016] [Revised: 11/21/2016] [Accepted: 11/28/2016] [Indexed: 11/20/2022]
Abstract
Supplemental Digital Content is available in the text. Background and Purpose— The prediction of genetic predispositions to ischemic stroke (IS) may allow the identification of individuals at elevated risk and thereby prevent IS in clinical practice. Previously developed weighted multilocus genetic risk scores showed limited predictive ability for IS. Here, we investigated the predictive ability of a newer method, polygenic risk score (polyGRS), based on the idea that a few strong signals, as well as several weaker signals, can be collectively informative to determine IS risk. Methods— We genotyped 13 214 Japanese individuals with IS and 26 470 controls (derivation samples) and generated both multilocus genetic risk scores and polyGRS, using the same derivation data set. The predictive abilities of each scoring system were then assessed using 2 independent sets of Japanese samples (KyushuU and JPJM data sets). Results— In both validation data sets, polyGRS was shown to be significantly associated with IS, but weighted multilocus genetic risk scores was not. Comparing the highest with the lowest polyGRS quintile, the odds ratios for IS were 1.75 (95% confidence interval, 1.33–2.31) and 1.99 (95% confidence interval, 1.19–3.33) in the KyushuU and JPJM samples, respectively. Using the KyushuU samples, the addition of polyGRS to a nongenetic risk model resulted in a significant improvement of the predictive ability (net reclassification improvement=0.151; P<0.001). Conclusions— The polyGRS was shown to be superior to weighted multilocus genetic risk scores as an IS prediction model. Thus, together with the nongenetic risk factors, polyGRS will provide valuable information for individual risk assessment and management of modifiable risk factors.
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Affiliation(s)
- Tsuyoshi Hachiya
- From the Division of Biomedical Information Analysis (T.H., R.F., Y.S., H.O., K. Ono, M. Satoh, A.S.), Division of Biobank and Data Management (T.H., Y.S., M. Satoh), Division of Clinical Research and Epidemiology (K. Tanno, K. Sakata), Division of Innovation and Education (A.F.), Division of Community Medical Supports and Health Record Informatics (M. Satoh), and Division of Public Relations and Planning (R.E.), Iwate Tohoku Medical Megabank Organization (M. Sasaki, S.K., K. Ogasawara, M.N., J. Hitomi, K. Sobue), Iwate Medical University, Japan; Laboratory for Statistical Analysis (Y. Kamatani, A.T.), RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan (M.K.); Laboratory for Omics Informatics, Omics Research Center, National Cerebral and Cardiovascular Center, Osaka, Japan (A.T.); Department of Environmental Medicine (J. Hata), Department of Medicine and Clinical Science (J. Hata, T.A., T.K.), and Center for Cohort Studies (J. Hata, T.N., T.K.), Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan (T.Y., N.S., M.I., S.T.); Department of Preventive Medicine, Faculty of Medicine, Saga University, Japan (M.H., K. Tanaka); Department of Public Health, Shiga University of Medical Science, Japan (N.T., Y. Kita); Laboratory of Molecular Medicine, Human Genome Center, Institute of Medical Science, The University of Tokyo, Japan (K.M.); Department of Preventive Medicine (K.W.) and Department of Epidemiology (H.T.), Nagoya University Graduate School of Medicine, Japan; Department of Public Health Medicine, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan (K.Y.); Department of Preventive Medicine and Epidemiology (A.H.), Department of Biobank (N.M.), and Department of Integrative Genomics (M.Y.), Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan; Faculty of Nursing Science, Tsuruga Nursing University, Fukui, Japan (Y. Kita); Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Japan (H.I.); Division of Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan (H.T.); and Hisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan (Y. Kiyohara).
| | - Yoichiro Kamatani
- From the Division of Biomedical Information Analysis (T.H., R.F., Y.S., H.O., K. Ono, M. Satoh, A.S.), Division of Biobank and Data Management (T.H., Y.S., M. Satoh), Division of Clinical Research and Epidemiology (K. Tanno, K. Sakata), Division of Innovation and Education (A.F.), Division of Community Medical Supports and Health Record Informatics (M. Satoh), and Division of Public Relations and Planning (R.E.), Iwate Tohoku Medical Megabank Organization (M. Sasaki, S.K., K. Ogasawara, M.N., J. Hitomi, K. Sobue), Iwate Medical University, Japan; Laboratory for Statistical Analysis (Y. Kamatani, A.T.), RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan (M.K.); Laboratory for Omics Informatics, Omics Research Center, National Cerebral and Cardiovascular Center, Osaka, Japan (A.T.); Department of Environmental Medicine (J. Hata), Department of Medicine and Clinical Science (J. Hata, T.A., T.K.), and Center for Cohort Studies (J. Hata, T.N., T.K.), Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan (T.Y., N.S., M.I., S.T.); Department of Preventive Medicine, Faculty of Medicine, Saga University, Japan (M.H., K. Tanaka); Department of Public Health, Shiga University of Medical Science, Japan (N.T., Y. Kita); Laboratory of Molecular Medicine, Human Genome Center, Institute of Medical Science, The University of Tokyo, Japan (K.M.); Department of Preventive Medicine (K.W.) and Department of Epidemiology (H.T.), Nagoya University Graduate School of Medicine, Japan; Department of Public Health Medicine, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan (K.Y.); Department of Preventive Medicine and Epidemiology (A.H.), Department of Biobank (N.M.), and Department of Integrative Genomics (M.Y.), Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan; Faculty of Nursing Science, Tsuruga Nursing University, Fukui, Japan (Y. Kita); Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Japan (H.I.); Division of Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan (H.T.); and Hisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan (Y. Kiyohara)
| | - Atsushi Takahashi
- From the Division of Biomedical Information Analysis (T.H., R.F., Y.S., H.O., K. Ono, M. Satoh, A.S.), Division of Biobank and Data Management (T.H., Y.S., M. Satoh), Division of Clinical Research and Epidemiology (K. Tanno, K. Sakata), Division of Innovation and Education (A.F.), Division of Community Medical Supports and Health Record Informatics (M. Satoh), and Division of Public Relations and Planning (R.E.), Iwate Tohoku Medical Megabank Organization (M. Sasaki, S.K., K. Ogasawara, M.N., J. Hitomi, K. Sobue), Iwate Medical University, Japan; Laboratory for Statistical Analysis (Y. Kamatani, A.T.), RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan (M.K.); Laboratory for Omics Informatics, Omics Research Center, National Cerebral and Cardiovascular Center, Osaka, Japan (A.T.); Department of Environmental Medicine (J. Hata), Department of Medicine and Clinical Science (J. Hata, T.A., T.K.), and Center for Cohort Studies (J. Hata, T.N., T.K.), Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan (T.Y., N.S., M.I., S.T.); Department of Preventive Medicine, Faculty of Medicine, Saga University, Japan (M.H., K. Tanaka); Department of Public Health, Shiga University of Medical Science, Japan (N.T., Y. Kita); Laboratory of Molecular Medicine, Human Genome Center, Institute of Medical Science, The University of Tokyo, Japan (K.M.); Department of Preventive Medicine (K.W.) and Department of Epidemiology (H.T.), Nagoya University Graduate School of Medicine, Japan; Department of Public Health Medicine, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan (K.Y.); Department of Preventive Medicine and Epidemiology (A.H.), Department of Biobank (N.M.), and Department of Integrative Genomics (M.Y.), Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan; Faculty of Nursing Science, Tsuruga Nursing University, Fukui, Japan (Y. Kita); Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Japan (H.I.); Division of Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan (H.T.); and Hisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan (Y. Kiyohara)
| | - Jun Hata
- From the Division of Biomedical Information Analysis (T.H., R.F., Y.S., H.O., K. Ono, M. Satoh, A.S.), Division of Biobank and Data Management (T.H., Y.S., M. Satoh), Division of Clinical Research and Epidemiology (K. Tanno, K. Sakata), Division of Innovation and Education (A.F.), Division of Community Medical Supports and Health Record Informatics (M. Satoh), and Division of Public Relations and Planning (R.E.), Iwate Tohoku Medical Megabank Organization (M. Sasaki, S.K., K. Ogasawara, M.N., J. Hitomi, K. Sobue), Iwate Medical University, Japan; Laboratory for Statistical Analysis (Y. Kamatani, A.T.), RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan (M.K.); Laboratory for Omics Informatics, Omics Research Center, National Cerebral and Cardiovascular Center, Osaka, Japan (A.T.); Department of Environmental Medicine (J. Hata), Department of Medicine and Clinical Science (J. Hata, T.A., T.K.), and Center for Cohort Studies (J. Hata, T.N., T.K.), Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan (T.Y., N.S., M.I., S.T.); Department of Preventive Medicine, Faculty of Medicine, Saga University, Japan (M.H., K. Tanaka); Department of Public Health, Shiga University of Medical Science, Japan (N.T., Y. Kita); Laboratory of Molecular Medicine, Human Genome Center, Institute of Medical Science, The University of Tokyo, Japan (K.M.); Department of Preventive Medicine (K.W.) and Department of Epidemiology (H.T.), Nagoya University Graduate School of Medicine, Japan; Department of Public Health Medicine, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan (K.Y.); Department of Preventive Medicine and Epidemiology (A.H.), Department of Biobank (N.M.), and Department of Integrative Genomics (M.Y.), Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan; Faculty of Nursing Science, Tsuruga Nursing University, Fukui, Japan (Y. Kita); Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Japan (H.I.); Division of Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan (H.T.); and Hisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan (Y. Kiyohara)
| | - Ryohei Furukawa
- From the Division of Biomedical Information Analysis (T.H., R.F., Y.S., H.O., K. Ono, M. Satoh, A.S.), Division of Biobank and Data Management (T.H., Y.S., M. Satoh), Division of Clinical Research and Epidemiology (K. Tanno, K. Sakata), Division of Innovation and Education (A.F.), Division of Community Medical Supports and Health Record Informatics (M. Satoh), and Division of Public Relations and Planning (R.E.), Iwate Tohoku Medical Megabank Organization (M. Sasaki, S.K., K. Ogasawara, M.N., J. Hitomi, K. Sobue), Iwate Medical University, Japan; Laboratory for Statistical Analysis (Y. Kamatani, A.T.), RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan (M.K.); Laboratory for Omics Informatics, Omics Research Center, National Cerebral and Cardiovascular Center, Osaka, Japan (A.T.); Department of Environmental Medicine (J. Hata), Department of Medicine and Clinical Science (J. Hata, T.A., T.K.), and Center for Cohort Studies (J. Hata, T.N., T.K.), Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan (T.Y., N.S., M.I., S.T.); Department of Preventive Medicine, Faculty of Medicine, Saga University, Japan (M.H., K. Tanaka); Department of Public Health, Shiga University of Medical Science, Japan (N.T., Y. Kita); Laboratory of Molecular Medicine, Human Genome Center, Institute of Medical Science, The University of Tokyo, Japan (K.M.); Department of Preventive Medicine (K.W.) and Department of Epidemiology (H.T.), Nagoya University Graduate School of Medicine, Japan; Department of Public Health Medicine, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan (K.Y.); Department of Preventive Medicine and Epidemiology (A.H.), Department of Biobank (N.M.), and Department of Integrative Genomics (M.Y.), Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan; Faculty of Nursing Science, Tsuruga Nursing University, Fukui, Japan (Y. Kita); Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Japan (H.I.); Division of Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan (H.T.); and Hisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan (Y. Kiyohara)
| | - Yuh Shiwa
- From the Division of Biomedical Information Analysis (T.H., R.F., Y.S., H.O., K. Ono, M. Satoh, A.S.), Division of Biobank and Data Management (T.H., Y.S., M. Satoh), Division of Clinical Research and Epidemiology (K. Tanno, K. Sakata), Division of Innovation and Education (A.F.), Division of Community Medical Supports and Health Record Informatics (M. Satoh), and Division of Public Relations and Planning (R.E.), Iwate Tohoku Medical Megabank Organization (M. Sasaki, S.K., K. Ogasawara, M.N., J. Hitomi, K. Sobue), Iwate Medical University, Japan; Laboratory for Statistical Analysis (Y. Kamatani, A.T.), RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan (M.K.); Laboratory for Omics Informatics, Omics Research Center, National Cerebral and Cardiovascular Center, Osaka, Japan (A.T.); Department of Environmental Medicine (J. Hata), Department of Medicine and Clinical Science (J. Hata, T.A., T.K.), and Center for Cohort Studies (J. Hata, T.N., T.K.), Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan (T.Y., N.S., M.I., S.T.); Department of Preventive Medicine, Faculty of Medicine, Saga University, Japan (M.H., K. Tanaka); Department of Public Health, Shiga University of Medical Science, Japan (N.T., Y. Kita); Laboratory of Molecular Medicine, Human Genome Center, Institute of Medical Science, The University of Tokyo, Japan (K.M.); Department of Preventive Medicine (K.W.) and Department of Epidemiology (H.T.), Nagoya University Graduate School of Medicine, Japan; Department of Public Health Medicine, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan (K.Y.); Department of Preventive Medicine and Epidemiology (A.H.), Department of Biobank (N.M.), and Department of Integrative Genomics (M.Y.), Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan; Faculty of Nursing Science, Tsuruga Nursing University, Fukui, Japan (Y. Kita); Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Japan (H.I.); Division of Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan (H.T.); and Hisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan (Y. Kiyohara)
| | - Taiki Yamaji
- From the Division of Biomedical Information Analysis (T.H., R.F., Y.S., H.O., K. Ono, M. Satoh, A.S.), Division of Biobank and Data Management (T.H., Y.S., M. Satoh), Division of Clinical Research and Epidemiology (K. Tanno, K. Sakata), Division of Innovation and Education (A.F.), Division of Community Medical Supports and Health Record Informatics (M. Satoh), and Division of Public Relations and Planning (R.E.), Iwate Tohoku Medical Megabank Organization (M. Sasaki, S.K., K. Ogasawara, M.N., J. Hitomi, K. Sobue), Iwate Medical University, Japan; Laboratory for Statistical Analysis (Y. Kamatani, A.T.), RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan (M.K.); Laboratory for Omics Informatics, Omics Research Center, National Cerebral and Cardiovascular Center, Osaka, Japan (A.T.); Department of Environmental Medicine (J. Hata), Department of Medicine and Clinical Science (J. Hata, T.A., T.K.), and Center for Cohort Studies (J. Hata, T.N., T.K.), Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan (T.Y., N.S., M.I., S.T.); Department of Preventive Medicine, Faculty of Medicine, Saga University, Japan (M.H., K. Tanaka); Department of Public Health, Shiga University of Medical Science, Japan (N.T., Y. Kita); Laboratory of Molecular Medicine, Human Genome Center, Institute of Medical Science, The University of Tokyo, Japan (K.M.); Department of Preventive Medicine (K.W.) and Department of Epidemiology (H.T.), Nagoya University Graduate School of Medicine, Japan; Department of Public Health Medicine, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan (K.Y.); Department of Preventive Medicine and Epidemiology (A.H.), Department of Biobank (N.M.), and Department of Integrative Genomics (M.Y.), Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan; Faculty of Nursing Science, Tsuruga Nursing University, Fukui, Japan (Y. Kita); Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Japan (H.I.); Division of Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan (H.T.); and Hisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan (Y. Kiyohara)
| | - Megumi Hara
- From the Division of Biomedical Information Analysis (T.H., R.F., Y.S., H.O., K. Ono, M. Satoh, A.S.), Division of Biobank and Data Management (T.H., Y.S., M. Satoh), Division of Clinical Research and Epidemiology (K. Tanno, K. Sakata), Division of Innovation and Education (A.F.), Division of Community Medical Supports and Health Record Informatics (M. Satoh), and Division of Public Relations and Planning (R.E.), Iwate Tohoku Medical Megabank Organization (M. Sasaki, S.K., K. Ogasawara, M.N., J. Hitomi, K. Sobue), Iwate Medical University, Japan; Laboratory for Statistical Analysis (Y. Kamatani, A.T.), RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan (M.K.); Laboratory for Omics Informatics, Omics Research Center, National Cerebral and Cardiovascular Center, Osaka, Japan (A.T.); Department of Environmental Medicine (J. Hata), Department of Medicine and Clinical Science (J. Hata, T.A., T.K.), and Center for Cohort Studies (J. Hata, T.N., T.K.), Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan (T.Y., N.S., M.I., S.T.); Department of Preventive Medicine, Faculty of Medicine, Saga University, Japan (M.H., K. Tanaka); Department of Public Health, Shiga University of Medical Science, Japan (N.T., Y. Kita); Laboratory of Molecular Medicine, Human Genome Center, Institute of Medical Science, The University of Tokyo, Japan (K.M.); Department of Preventive Medicine (K.W.) and Department of Epidemiology (H.T.), Nagoya University Graduate School of Medicine, Japan; Department of Public Health Medicine, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan (K.Y.); Department of Preventive Medicine and Epidemiology (A.H.), Department of Biobank (N.M.), and Department of Integrative Genomics (M.Y.), Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan; Faculty of Nursing Science, Tsuruga Nursing University, Fukui, Japan (Y. Kita); Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Japan (H.I.); Division of Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan (H.T.); and Hisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan (Y. Kiyohara)
| | - Kozo Tanno
- From the Division of Biomedical Information Analysis (T.H., R.F., Y.S., H.O., K. Ono, M. Satoh, A.S.), Division of Biobank and Data Management (T.H., Y.S., M. Satoh), Division of Clinical Research and Epidemiology (K. Tanno, K. Sakata), Division of Innovation and Education (A.F.), Division of Community Medical Supports and Health Record Informatics (M. Satoh), and Division of Public Relations and Planning (R.E.), Iwate Tohoku Medical Megabank Organization (M. Sasaki, S.K., K. Ogasawara, M.N., J. Hitomi, K. Sobue), Iwate Medical University, Japan; Laboratory for Statistical Analysis (Y. Kamatani, A.T.), RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan (M.K.); Laboratory for Omics Informatics, Omics Research Center, National Cerebral and Cardiovascular Center, Osaka, Japan (A.T.); Department of Environmental Medicine (J. Hata), Department of Medicine and Clinical Science (J. Hata, T.A., T.K.), and Center for Cohort Studies (J. Hata, T.N., T.K.), Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan (T.Y., N.S., M.I., S.T.); Department of Preventive Medicine, Faculty of Medicine, Saga University, Japan (M.H., K. Tanaka); Department of Public Health, Shiga University of Medical Science, Japan (N.T., Y. Kita); Laboratory of Molecular Medicine, Human Genome Center, Institute of Medical Science, The University of Tokyo, Japan (K.M.); Department of Preventive Medicine (K.W.) and Department of Epidemiology (H.T.), Nagoya University Graduate School of Medicine, Japan; Department of Public Health Medicine, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan (K.Y.); Department of Preventive Medicine and Epidemiology (A.H.), Department of Biobank (N.M.), and Department of Integrative Genomics (M.Y.), Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan; Faculty of Nursing Science, Tsuruga Nursing University, Fukui, Japan (Y. Kita); Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Japan (H.I.); Division of Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan (H.T.); and Hisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan (Y. Kiyohara)
| | - Hideki Ohmomo
- From the Division of Biomedical Information Analysis (T.H., R.F., Y.S., H.O., K. Ono, M. Satoh, A.S.), Division of Biobank and Data Management (T.H., Y.S., M. Satoh), Division of Clinical Research and Epidemiology (K. Tanno, K. Sakata), Division of Innovation and Education (A.F.), Division of Community Medical Supports and Health Record Informatics (M. Satoh), and Division of Public Relations and Planning (R.E.), Iwate Tohoku Medical Megabank Organization (M. Sasaki, S.K., K. Ogasawara, M.N., J. Hitomi, K. Sobue), Iwate Medical University, Japan; Laboratory for Statistical Analysis (Y. Kamatani, A.T.), RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan (M.K.); Laboratory for Omics Informatics, Omics Research Center, National Cerebral and Cardiovascular Center, Osaka, Japan (A.T.); Department of Environmental Medicine (J. Hata), Department of Medicine and Clinical Science (J. Hata, T.A., T.K.), and Center for Cohort Studies (J. Hata, T.N., T.K.), Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan (T.Y., N.S., M.I., S.T.); Department of Preventive Medicine, Faculty of Medicine, Saga University, Japan (M.H., K. Tanaka); Department of Public Health, Shiga University of Medical Science, Japan (N.T., Y. Kita); Laboratory of Molecular Medicine, Human Genome Center, Institute of Medical Science, The University of Tokyo, Japan (K.M.); Department of Preventive Medicine (K.W.) and Department of Epidemiology (H.T.), Nagoya University Graduate School of Medicine, Japan; Department of Public Health Medicine, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan (K.Y.); Department of Preventive Medicine and Epidemiology (A.H.), Department of Biobank (N.M.), and Department of Integrative Genomics (M.Y.), Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan; Faculty of Nursing Science, Tsuruga Nursing University, Fukui, Japan (Y. Kita); Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Japan (H.I.); Division of Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan (H.T.); and Hisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan (Y. Kiyohara)
| | - Kanako Ono
- From the Division of Biomedical Information Analysis (T.H., R.F., Y.S., H.O., K. Ono, M. Satoh, A.S.), Division of Biobank and Data Management (T.H., Y.S., M. Satoh), Division of Clinical Research and Epidemiology (K. Tanno, K. Sakata), Division of Innovation and Education (A.F.), Division of Community Medical Supports and Health Record Informatics (M. Satoh), and Division of Public Relations and Planning (R.E.), Iwate Tohoku Medical Megabank Organization (M. Sasaki, S.K., K. Ogasawara, M.N., J. Hitomi, K. Sobue), Iwate Medical University, Japan; Laboratory for Statistical Analysis (Y. Kamatani, A.T.), RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan (M.K.); Laboratory for Omics Informatics, Omics Research Center, National Cerebral and Cardiovascular Center, Osaka, Japan (A.T.); Department of Environmental Medicine (J. Hata), Department of Medicine and Clinical Science (J. Hata, T.A., T.K.), and Center for Cohort Studies (J. Hata, T.N., T.K.), Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan (T.Y., N.S., M.I., S.T.); Department of Preventive Medicine, Faculty of Medicine, Saga University, Japan (M.H., K. Tanaka); Department of Public Health, Shiga University of Medical Science, Japan (N.T., Y. Kita); Laboratory of Molecular Medicine, Human Genome Center, Institute of Medical Science, The University of Tokyo, Japan (K.M.); Department of Preventive Medicine (K.W.) and Department of Epidemiology (H.T.), Nagoya University Graduate School of Medicine, Japan; Department of Public Health Medicine, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan (K.Y.); Department of Preventive Medicine and Epidemiology (A.H.), Department of Biobank (N.M.), and Department of Integrative Genomics (M.Y.), Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan; Faculty of Nursing Science, Tsuruga Nursing University, Fukui, Japan (Y. Kita); Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Japan (H.I.); Division of Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan (H.T.); and Hisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan (Y. Kiyohara)
| | - Naoyuki Takashima
- From the Division of Biomedical Information Analysis (T.H., R.F., Y.S., H.O., K. Ono, M. Satoh, A.S.), Division of Biobank and Data Management (T.H., Y.S., M. Satoh), Division of Clinical Research and Epidemiology (K. Tanno, K. Sakata), Division of Innovation and Education (A.F.), Division of Community Medical Supports and Health Record Informatics (M. Satoh), and Division of Public Relations and Planning (R.E.), Iwate Tohoku Medical Megabank Organization (M. Sasaki, S.K., K. Ogasawara, M.N., J. Hitomi, K. Sobue), Iwate Medical University, Japan; Laboratory for Statistical Analysis (Y. Kamatani, A.T.), RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan (M.K.); Laboratory for Omics Informatics, Omics Research Center, National Cerebral and Cardiovascular Center, Osaka, Japan (A.T.); Department of Environmental Medicine (J. Hata), Department of Medicine and Clinical Science (J. Hata, T.A., T.K.), and Center for Cohort Studies (J. Hata, T.N., T.K.), Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan (T.Y., N.S., M.I., S.T.); Department of Preventive Medicine, Faculty of Medicine, Saga University, Japan (M.H., K. Tanaka); Department of Public Health, Shiga University of Medical Science, Japan (N.T., Y. Kita); Laboratory of Molecular Medicine, Human Genome Center, Institute of Medical Science, The University of Tokyo, Japan (K.M.); Department of Preventive Medicine (K.W.) and Department of Epidemiology (H.T.), Nagoya University Graduate School of Medicine, Japan; Department of Public Health Medicine, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan (K.Y.); Department of Preventive Medicine and Epidemiology (A.H.), Department of Biobank (N.M.), and Department of Integrative Genomics (M.Y.), Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan; Faculty of Nursing Science, Tsuruga Nursing University, Fukui, Japan (Y. Kita); Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Japan (H.I.); Division of Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan (H.T.); and Hisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan (Y. Kiyohara)
| | - Koichi Matsuda
- From the Division of Biomedical Information Analysis (T.H., R.F., Y.S., H.O., K. Ono, M. Satoh, A.S.), Division of Biobank and Data Management (T.H., Y.S., M. Satoh), Division of Clinical Research and Epidemiology (K. Tanno, K. Sakata), Division of Innovation and Education (A.F.), Division of Community Medical Supports and Health Record Informatics (M. Satoh), and Division of Public Relations and Planning (R.E.), Iwate Tohoku Medical Megabank Organization (M. Sasaki, S.K., K. Ogasawara, M.N., J. Hitomi, K. Sobue), Iwate Medical University, Japan; Laboratory for Statistical Analysis (Y. Kamatani, A.T.), RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan (M.K.); Laboratory for Omics Informatics, Omics Research Center, National Cerebral and Cardiovascular Center, Osaka, Japan (A.T.); Department of Environmental Medicine (J. Hata), Department of Medicine and Clinical Science (J. Hata, T.A., T.K.), and Center for Cohort Studies (J. Hata, T.N., T.K.), Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan (T.Y., N.S., M.I., S.T.); Department of Preventive Medicine, Faculty of Medicine, Saga University, Japan (M.H., K. Tanaka); Department of Public Health, Shiga University of Medical Science, Japan (N.T., Y. Kita); Laboratory of Molecular Medicine, Human Genome Center, Institute of Medical Science, The University of Tokyo, Japan (K.M.); Department of Preventive Medicine (K.W.) and Department of Epidemiology (H.T.), Nagoya University Graduate School of Medicine, Japan; Department of Public Health Medicine, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan (K.Y.); Department of Preventive Medicine and Epidemiology (A.H.), Department of Biobank (N.M.), and Department of Integrative Genomics (M.Y.), Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan; Faculty of Nursing Science, Tsuruga Nursing University, Fukui, Japan (Y. Kita); Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Japan (H.I.); Division of Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan (H.T.); and Hisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan (Y. Kiyohara)
| | - Kenji Wakai
- From the Division of Biomedical Information Analysis (T.H., R.F., Y.S., H.O., K. Ono, M. Satoh, A.S.), Division of Biobank and Data Management (T.H., Y.S., M. Satoh), Division of Clinical Research and Epidemiology (K. Tanno, K. Sakata), Division of Innovation and Education (A.F.), Division of Community Medical Supports and Health Record Informatics (M. Satoh), and Division of Public Relations and Planning (R.E.), Iwate Tohoku Medical Megabank Organization (M. Sasaki, S.K., K. Ogasawara, M.N., J. Hitomi, K. Sobue), Iwate Medical University, Japan; Laboratory for Statistical Analysis (Y. Kamatani, A.T.), RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan (M.K.); Laboratory for Omics Informatics, Omics Research Center, National Cerebral and Cardiovascular Center, Osaka, Japan (A.T.); Department of Environmental Medicine (J. Hata), Department of Medicine and Clinical Science (J. Hata, T.A., T.K.), and Center for Cohort Studies (J. Hata, T.N., T.K.), Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan (T.Y., N.S., M.I., S.T.); Department of Preventive Medicine, Faculty of Medicine, Saga University, Japan (M.H., K. Tanaka); Department of Public Health, Shiga University of Medical Science, Japan (N.T., Y. Kita); Laboratory of Molecular Medicine, Human Genome Center, Institute of Medical Science, The University of Tokyo, Japan (K.M.); Department of Preventive Medicine (K.W.) and Department of Epidemiology (H.T.), Nagoya University Graduate School of Medicine, Japan; Department of Public Health Medicine, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan (K.Y.); Department of Preventive Medicine and Epidemiology (A.H.), Department of Biobank (N.M.), and Department of Integrative Genomics (M.Y.), Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan; Faculty of Nursing Science, Tsuruga Nursing University, Fukui, Japan (Y. Kita); Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Japan (H.I.); Division of Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan (H.T.); and Hisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan (Y. Kiyohara)
| | - Norie Sawada
- From the Division of Biomedical Information Analysis (T.H., R.F., Y.S., H.O., K. Ono, M. Satoh, A.S.), Division of Biobank and Data Management (T.H., Y.S., M. Satoh), Division of Clinical Research and Epidemiology (K. Tanno, K. Sakata), Division of Innovation and Education (A.F.), Division of Community Medical Supports and Health Record Informatics (M. Satoh), and Division of Public Relations and Planning (R.E.), Iwate Tohoku Medical Megabank Organization (M. Sasaki, S.K., K. Ogasawara, M.N., J. Hitomi, K. Sobue), Iwate Medical University, Japan; Laboratory for Statistical Analysis (Y. Kamatani, A.T.), RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan (M.K.); Laboratory for Omics Informatics, Omics Research Center, National Cerebral and Cardiovascular Center, Osaka, Japan (A.T.); Department of Environmental Medicine (J. Hata), Department of Medicine and Clinical Science (J. Hata, T.A., T.K.), and Center for Cohort Studies (J. Hata, T.N., T.K.), Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan (T.Y., N.S., M.I., S.T.); Department of Preventive Medicine, Faculty of Medicine, Saga University, Japan (M.H., K. Tanaka); Department of Public Health, Shiga University of Medical Science, Japan (N.T., Y. Kita); Laboratory of Molecular Medicine, Human Genome Center, Institute of Medical Science, The University of Tokyo, Japan (K.M.); Department of Preventive Medicine (K.W.) and Department of Epidemiology (H.T.), Nagoya University Graduate School of Medicine, Japan; Department of Public Health Medicine, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan (K.Y.); Department of Preventive Medicine and Epidemiology (A.H.), Department of Biobank (N.M.), and Department of Integrative Genomics (M.Y.), Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan; Faculty of Nursing Science, Tsuruga Nursing University, Fukui, Japan (Y. Kita); Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Japan (H.I.); Division of Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan (H.T.); and Hisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan (Y. Kiyohara)
| | - Motoki Iwasaki
- From the Division of Biomedical Information Analysis (T.H., R.F., Y.S., H.O., K. Ono, M. Satoh, A.S.), Division of Biobank and Data Management (T.H., Y.S., M. Satoh), Division of Clinical Research and Epidemiology (K. Tanno, K. Sakata), Division of Innovation and Education (A.F.), Division of Community Medical Supports and Health Record Informatics (M. Satoh), and Division of Public Relations and Planning (R.E.), Iwate Tohoku Medical Megabank Organization (M. Sasaki, S.K., K. Ogasawara, M.N., J. Hitomi, K. Sobue), Iwate Medical University, Japan; Laboratory for Statistical Analysis (Y. Kamatani, A.T.), RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan (M.K.); Laboratory for Omics Informatics, Omics Research Center, National Cerebral and Cardiovascular Center, Osaka, Japan (A.T.); Department of Environmental Medicine (J. Hata), Department of Medicine and Clinical Science (J. Hata, T.A., T.K.), and Center for Cohort Studies (J. Hata, T.N., T.K.), Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan (T.Y., N.S., M.I., S.T.); Department of Preventive Medicine, Faculty of Medicine, Saga University, Japan (M.H., K. Tanaka); Department of Public Health, Shiga University of Medical Science, Japan (N.T., Y. Kita); Laboratory of Molecular Medicine, Human Genome Center, Institute of Medical Science, The University of Tokyo, Japan (K.M.); Department of Preventive Medicine (K.W.) and Department of Epidemiology (H.T.), Nagoya University Graduate School of Medicine, Japan; Department of Public Health Medicine, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan (K.Y.); Department of Preventive Medicine and Epidemiology (A.H.), Department of Biobank (N.M.), and Department of Integrative Genomics (M.Y.), Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan; Faculty of Nursing Science, Tsuruga Nursing University, Fukui, Japan (Y. Kita); Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Japan (H.I.); Division of Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan (H.T.); and Hisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan (Y. Kiyohara)
| | - Kazumasa Yamagishi
- From the Division of Biomedical Information Analysis (T.H., R.F., Y.S., H.O., K. Ono, M. Satoh, A.S.), Division of Biobank and Data Management (T.H., Y.S., M. Satoh), Division of Clinical Research and Epidemiology (K. Tanno, K. Sakata), Division of Innovation and Education (A.F.), Division of Community Medical Supports and Health Record Informatics (M. Satoh), and Division of Public Relations and Planning (R.E.), Iwate Tohoku Medical Megabank Organization (M. Sasaki, S.K., K. Ogasawara, M.N., J. Hitomi, K. Sobue), Iwate Medical University, Japan; Laboratory for Statistical Analysis (Y. Kamatani, A.T.), RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan (M.K.); Laboratory for Omics Informatics, Omics Research Center, National Cerebral and Cardiovascular Center, Osaka, Japan (A.T.); Department of Environmental Medicine (J. Hata), Department of Medicine and Clinical Science (J. Hata, T.A., T.K.), and Center for Cohort Studies (J. Hata, T.N., T.K.), Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan (T.Y., N.S., M.I., S.T.); Department of Preventive Medicine, Faculty of Medicine, Saga University, Japan (M.H., K. Tanaka); Department of Public Health, Shiga University of Medical Science, Japan (N.T., Y. Kita); Laboratory of Molecular Medicine, Human Genome Center, Institute of Medical Science, The University of Tokyo, Japan (K.M.); Department of Preventive Medicine (K.W.) and Department of Epidemiology (H.T.), Nagoya University Graduate School of Medicine, Japan; Department of Public Health Medicine, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan (K.Y.); Department of Preventive Medicine and Epidemiology (A.H.), Department of Biobank (N.M.), and Department of Integrative Genomics (M.Y.), Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan; Faculty of Nursing Science, Tsuruga Nursing University, Fukui, Japan (Y. Kita); Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Japan (H.I.); Division of Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan (H.T.); and Hisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan (Y. Kiyohara)
| | - Tetsuro Ago
- From the Division of Biomedical Information Analysis (T.H., R.F., Y.S., H.O., K. Ono, M. Satoh, A.S.), Division of Biobank and Data Management (T.H., Y.S., M. Satoh), Division of Clinical Research and Epidemiology (K. Tanno, K. Sakata), Division of Innovation and Education (A.F.), Division of Community Medical Supports and Health Record Informatics (M. Satoh), and Division of Public Relations and Planning (R.E.), Iwate Tohoku Medical Megabank Organization (M. Sasaki, S.K., K. Ogasawara, M.N., J. Hitomi, K. Sobue), Iwate Medical University, Japan; Laboratory for Statistical Analysis (Y. Kamatani, A.T.), RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan (M.K.); Laboratory for Omics Informatics, Omics Research Center, National Cerebral and Cardiovascular Center, Osaka, Japan (A.T.); Department of Environmental Medicine (J. Hata), Department of Medicine and Clinical Science (J. Hata, T.A., T.K.), and Center for Cohort Studies (J. Hata, T.N., T.K.), Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan (T.Y., N.S., M.I., S.T.); Department of Preventive Medicine, Faculty of Medicine, Saga University, Japan (M.H., K. Tanaka); Department of Public Health, Shiga University of Medical Science, Japan (N.T., Y. Kita); Laboratory of Molecular Medicine, Human Genome Center, Institute of Medical Science, The University of Tokyo, Japan (K.M.); Department of Preventive Medicine (K.W.) and Department of Epidemiology (H.T.), Nagoya University Graduate School of Medicine, Japan; Department of Public Health Medicine, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan (K.Y.); Department of Preventive Medicine and Epidemiology (A.H.), Department of Biobank (N.M.), and Department of Integrative Genomics (M.Y.), Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan; Faculty of Nursing Science, Tsuruga Nursing University, Fukui, Japan (Y. Kita); Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Japan (H.I.); Division of Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan (H.T.); and Hisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan (Y. Kiyohara)
| | - Toshiharu Ninomiya
- From the Division of Biomedical Information Analysis (T.H., R.F., Y.S., H.O., K. Ono, M. Satoh, A.S.), Division of Biobank and Data Management (T.H., Y.S., M. Satoh), Division of Clinical Research and Epidemiology (K. Tanno, K. Sakata), Division of Innovation and Education (A.F.), Division of Community Medical Supports and Health Record Informatics (M. Satoh), and Division of Public Relations and Planning (R.E.), Iwate Tohoku Medical Megabank Organization (M. Sasaki, S.K., K. Ogasawara, M.N., J. Hitomi, K. Sobue), Iwate Medical University, Japan; Laboratory for Statistical Analysis (Y. Kamatani, A.T.), RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan (M.K.); Laboratory for Omics Informatics, Omics Research Center, National Cerebral and Cardiovascular Center, Osaka, Japan (A.T.); Department of Environmental Medicine (J. Hata), Department of Medicine and Clinical Science (J. Hata, T.A., T.K.), and Center for Cohort Studies (J. Hata, T.N., T.K.), Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan (T.Y., N.S., M.I., S.T.); Department of Preventive Medicine, Faculty of Medicine, Saga University, Japan (M.H., K. Tanaka); Department of Public Health, Shiga University of Medical Science, Japan (N.T., Y. Kita); Laboratory of Molecular Medicine, Human Genome Center, Institute of Medical Science, The University of Tokyo, Japan (K.M.); Department of Preventive Medicine (K.W.) and Department of Epidemiology (H.T.), Nagoya University Graduate School of Medicine, Japan; Department of Public Health Medicine, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan (K.Y.); Department of Preventive Medicine and Epidemiology (A.H.), Department of Biobank (N.M.), and Department of Integrative Genomics (M.Y.), Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan; Faculty of Nursing Science, Tsuruga Nursing University, Fukui, Japan (Y. Kita); Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Japan (H.I.); Division of Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan (H.T.); and Hisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan (Y. Kiyohara)
| | - Akimune Fukushima
- From the Division of Biomedical Information Analysis (T.H., R.F., Y.S., H.O., K. Ono, M. Satoh, A.S.), Division of Biobank and Data Management (T.H., Y.S., M. Satoh), Division of Clinical Research and Epidemiology (K. Tanno, K. Sakata), Division of Innovation and Education (A.F.), Division of Community Medical Supports and Health Record Informatics (M. Satoh), and Division of Public Relations and Planning (R.E.), Iwate Tohoku Medical Megabank Organization (M. Sasaki, S.K., K. Ogasawara, M.N., J. Hitomi, K. Sobue), Iwate Medical University, Japan; Laboratory for Statistical Analysis (Y. Kamatani, A.T.), RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan (M.K.); Laboratory for Omics Informatics, Omics Research Center, National Cerebral and Cardiovascular Center, Osaka, Japan (A.T.); Department of Environmental Medicine (J. Hata), Department of Medicine and Clinical Science (J. Hata, T.A., T.K.), and Center for Cohort Studies (J. Hata, T.N., T.K.), Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan (T.Y., N.S., M.I., S.T.); Department of Preventive Medicine, Faculty of Medicine, Saga University, Japan (M.H., K. Tanaka); Department of Public Health, Shiga University of Medical Science, Japan (N.T., Y. Kita); Laboratory of Molecular Medicine, Human Genome Center, Institute of Medical Science, The University of Tokyo, Japan (K.M.); Department of Preventive Medicine (K.W.) and Department of Epidemiology (H.T.), Nagoya University Graduate School of Medicine, Japan; Department of Public Health Medicine, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan (K.Y.); Department of Preventive Medicine and Epidemiology (A.H.), Department of Biobank (N.M.), and Department of Integrative Genomics (M.Y.), Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan; Faculty of Nursing Science, Tsuruga Nursing University, Fukui, Japan (Y. Kita); Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Japan (H.I.); Division of Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan (H.T.); and Hisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan (Y. Kiyohara)
| | - Atsushi Hozawa
- From the Division of Biomedical Information Analysis (T.H., R.F., Y.S., H.O., K. Ono, M. Satoh, A.S.), Division of Biobank and Data Management (T.H., Y.S., M. Satoh), Division of Clinical Research and Epidemiology (K. Tanno, K. Sakata), Division of Innovation and Education (A.F.), Division of Community Medical Supports and Health Record Informatics (M. Satoh), and Division of Public Relations and Planning (R.E.), Iwate Tohoku Medical Megabank Organization (M. Sasaki, S.K., K. Ogasawara, M.N., J. Hitomi, K. Sobue), Iwate Medical University, Japan; Laboratory for Statistical Analysis (Y. Kamatani, A.T.), RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan (M.K.); Laboratory for Omics Informatics, Omics Research Center, National Cerebral and Cardiovascular Center, Osaka, Japan (A.T.); Department of Environmental Medicine (J. Hata), Department of Medicine and Clinical Science (J. Hata, T.A., T.K.), and Center for Cohort Studies (J. Hata, T.N., T.K.), Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan (T.Y., N.S., M.I., S.T.); Department of Preventive Medicine, Faculty of Medicine, Saga University, Japan (M.H., K. Tanaka); Department of Public Health, Shiga University of Medical Science, Japan (N.T., Y. Kita); Laboratory of Molecular Medicine, Human Genome Center, Institute of Medical Science, The University of Tokyo, Japan (K.M.); Department of Preventive Medicine (K.W.) and Department of Epidemiology (H.T.), Nagoya University Graduate School of Medicine, Japan; Department of Public Health Medicine, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan (K.Y.); Department of Preventive Medicine and Epidemiology (A.H.), Department of Biobank (N.M.), and Department of Integrative Genomics (M.Y.), Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan; Faculty of Nursing Science, Tsuruga Nursing University, Fukui, Japan (Y. Kita); Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Japan (H.I.); Division of Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan (H.T.); and Hisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan (Y. Kiyohara)
| | - Naoko Minegishi
- From the Division of Biomedical Information Analysis (T.H., R.F., Y.S., H.O., K. Ono, M. Satoh, A.S.), Division of Biobank and Data Management (T.H., Y.S., M. Satoh), Division of Clinical Research and Epidemiology (K. Tanno, K. Sakata), Division of Innovation and Education (A.F.), Division of Community Medical Supports and Health Record Informatics (M. Satoh), and Division of Public Relations and Planning (R.E.), Iwate Tohoku Medical Megabank Organization (M. Sasaki, S.K., K. Ogasawara, M.N., J. Hitomi, K. Sobue), Iwate Medical University, Japan; Laboratory for Statistical Analysis (Y. Kamatani, A.T.), RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan (M.K.); Laboratory for Omics Informatics, Omics Research Center, National Cerebral and Cardiovascular Center, Osaka, Japan (A.T.); Department of Environmental Medicine (J. Hata), Department of Medicine and Clinical Science (J. Hata, T.A., T.K.), and Center for Cohort Studies (J. Hata, T.N., T.K.), Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan (T.Y., N.S., M.I., S.T.); Department of Preventive Medicine, Faculty of Medicine, Saga University, Japan (M.H., K. Tanaka); Department of Public Health, Shiga University of Medical Science, Japan (N.T., Y. Kita); Laboratory of Molecular Medicine, Human Genome Center, Institute of Medical Science, The University of Tokyo, Japan (K.M.); Department of Preventive Medicine (K.W.) and Department of Epidemiology (H.T.), Nagoya University Graduate School of Medicine, Japan; Department of Public Health Medicine, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan (K.Y.); Department of Preventive Medicine and Epidemiology (A.H.), Department of Biobank (N.M.), and Department of Integrative Genomics (M.Y.), Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan; Faculty of Nursing Science, Tsuruga Nursing University, Fukui, Japan (Y. Kita); Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Japan (H.I.); Division of Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan (H.T.); and Hisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan (Y. Kiyohara)
| | - Mamoru Satoh
- From the Division of Biomedical Information Analysis (T.H., R.F., Y.S., H.O., K. Ono, M. Satoh, A.S.), Division of Biobank and Data Management (T.H., Y.S., M. Satoh), Division of Clinical Research and Epidemiology (K. Tanno, K. Sakata), Division of Innovation and Education (A.F.), Division of Community Medical Supports and Health Record Informatics (M. Satoh), and Division of Public Relations and Planning (R.E.), Iwate Tohoku Medical Megabank Organization (M. Sasaki, S.K., K. Ogasawara, M.N., J. Hitomi, K. Sobue), Iwate Medical University, Japan; Laboratory for Statistical Analysis (Y. Kamatani, A.T.), RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan (M.K.); Laboratory for Omics Informatics, Omics Research Center, National Cerebral and Cardiovascular Center, Osaka, Japan (A.T.); Department of Environmental Medicine (J. Hata), Department of Medicine and Clinical Science (J. Hata, T.A., T.K.), and Center for Cohort Studies (J. Hata, T.N., T.K.), Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan (T.Y., N.S., M.I., S.T.); Department of Preventive Medicine, Faculty of Medicine, Saga University, Japan (M.H., K. Tanaka); Department of Public Health, Shiga University of Medical Science, Japan (N.T., Y. Kita); Laboratory of Molecular Medicine, Human Genome Center, Institute of Medical Science, The University of Tokyo, Japan (K.M.); Department of Preventive Medicine (K.W.) and Department of Epidemiology (H.T.), Nagoya University Graduate School of Medicine, Japan; Department of Public Health Medicine, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan (K.Y.); Department of Preventive Medicine and Epidemiology (A.H.), Department of Biobank (N.M.), and Department of Integrative Genomics (M.Y.), Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan; Faculty of Nursing Science, Tsuruga Nursing University, Fukui, Japan (Y. Kita); Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Japan (H.I.); Division of Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan (H.T.); and Hisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan (Y. Kiyohara)
| | - Ryujin Endo
- From the Division of Biomedical Information Analysis (T.H., R.F., Y.S., H.O., K. Ono, M. Satoh, A.S.), Division of Biobank and Data Management (T.H., Y.S., M. Satoh), Division of Clinical Research and Epidemiology (K. Tanno, K. Sakata), Division of Innovation and Education (A.F.), Division of Community Medical Supports and Health Record Informatics (M. Satoh), and Division of Public Relations and Planning (R.E.), Iwate Tohoku Medical Megabank Organization (M. Sasaki, S.K., K. Ogasawara, M.N., J. Hitomi, K. Sobue), Iwate Medical University, Japan; Laboratory for Statistical Analysis (Y. Kamatani, A.T.), RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan (M.K.); Laboratory for Omics Informatics, Omics Research Center, National Cerebral and Cardiovascular Center, Osaka, Japan (A.T.); Department of Environmental Medicine (J. Hata), Department of Medicine and Clinical Science (J. Hata, T.A., T.K.), and Center for Cohort Studies (J. Hata, T.N., T.K.), Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan (T.Y., N.S., M.I., S.T.); Department of Preventive Medicine, Faculty of Medicine, Saga University, Japan (M.H., K. Tanaka); Department of Public Health, Shiga University of Medical Science, Japan (N.T., Y. Kita); Laboratory of Molecular Medicine, Human Genome Center, Institute of Medical Science, The University of Tokyo, Japan (K.M.); Department of Preventive Medicine (K.W.) and Department of Epidemiology (H.T.), Nagoya University Graduate School of Medicine, Japan; Department of Public Health Medicine, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan (K.Y.); Department of Preventive Medicine and Epidemiology (A.H.), Department of Biobank (N.M.), and Department of Integrative Genomics (M.Y.), Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan; Faculty of Nursing Science, Tsuruga Nursing University, Fukui, Japan (Y. Kita); Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Japan (H.I.); Division of Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan (H.T.); and Hisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan (Y. Kiyohara)
| | - Makoto Sasaki
- From the Division of Biomedical Information Analysis (T.H., R.F., Y.S., H.O., K. Ono, M. Satoh, A.S.), Division of Biobank and Data Management (T.H., Y.S., M. Satoh), Division of Clinical Research and Epidemiology (K. Tanno, K. Sakata), Division of Innovation and Education (A.F.), Division of Community Medical Supports and Health Record Informatics (M. Satoh), and Division of Public Relations and Planning (R.E.), Iwate Tohoku Medical Megabank Organization (M. Sasaki, S.K., K. Ogasawara, M.N., J. Hitomi, K. Sobue), Iwate Medical University, Japan; Laboratory for Statistical Analysis (Y. Kamatani, A.T.), RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan (M.K.); Laboratory for Omics Informatics, Omics Research Center, National Cerebral and Cardiovascular Center, Osaka, Japan (A.T.); Department of Environmental Medicine (J. Hata), Department of Medicine and Clinical Science (J. Hata, T.A., T.K.), and Center for Cohort Studies (J. Hata, T.N., T.K.), Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan (T.Y., N.S., M.I., S.T.); Department of Preventive Medicine, Faculty of Medicine, Saga University, Japan (M.H., K. Tanaka); Department of Public Health, Shiga University of Medical Science, Japan (N.T., Y. Kita); Laboratory of Molecular Medicine, Human Genome Center, Institute of Medical Science, The University of Tokyo, Japan (K.M.); Department of Preventive Medicine (K.W.) and Department of Epidemiology (H.T.), Nagoya University Graduate School of Medicine, Japan; Department of Public Health Medicine, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan (K.Y.); Department of Preventive Medicine and Epidemiology (A.H.), Department of Biobank (N.M.), and Department of Integrative Genomics (M.Y.), Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan; Faculty of Nursing Science, Tsuruga Nursing University, Fukui, Japan (Y. Kita); Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Japan (H.I.); Division of Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan (H.T.); and Hisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan (Y. Kiyohara)
| | - Kiyomi Sakata
- From the Division of Biomedical Information Analysis (T.H., R.F., Y.S., H.O., K. Ono, M. Satoh, A.S.), Division of Biobank and Data Management (T.H., Y.S., M. Satoh), Division of Clinical Research and Epidemiology (K. Tanno, K. Sakata), Division of Innovation and Education (A.F.), Division of Community Medical Supports and Health Record Informatics (M. Satoh), and Division of Public Relations and Planning (R.E.), Iwate Tohoku Medical Megabank Organization (M. Sasaki, S.K., K. Ogasawara, M.N., J. Hitomi, K. Sobue), Iwate Medical University, Japan; Laboratory for Statistical Analysis (Y. Kamatani, A.T.), RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan (M.K.); Laboratory for Omics Informatics, Omics Research Center, National Cerebral and Cardiovascular Center, Osaka, Japan (A.T.); Department of Environmental Medicine (J. Hata), Department of Medicine and Clinical Science (J. Hata, T.A., T.K.), and Center for Cohort Studies (J. Hata, T.N., T.K.), Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan (T.Y., N.S., M.I., S.T.); Department of Preventive Medicine, Faculty of Medicine, Saga University, Japan (M.H., K. Tanaka); Department of Public Health, Shiga University of Medical Science, Japan (N.T., Y. Kita); Laboratory of Molecular Medicine, Human Genome Center, Institute of Medical Science, The University of Tokyo, Japan (K.M.); Department of Preventive Medicine (K.W.) and Department of Epidemiology (H.T.), Nagoya University Graduate School of Medicine, Japan; Department of Public Health Medicine, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan (K.Y.); Department of Preventive Medicine and Epidemiology (A.H.), Department of Biobank (N.M.), and Department of Integrative Genomics (M.Y.), Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan; Faculty of Nursing Science, Tsuruga Nursing University, Fukui, Japan (Y. Kita); Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Japan (H.I.); Division of Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan (H.T.); and Hisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan (Y. Kiyohara)
| | - Seiichiro Kobayashi
- From the Division of Biomedical Information Analysis (T.H., R.F., Y.S., H.O., K. Ono, M. Satoh, A.S.), Division of Biobank and Data Management (T.H., Y.S., M. Satoh), Division of Clinical Research and Epidemiology (K. Tanno, K. Sakata), Division of Innovation and Education (A.F.), Division of Community Medical Supports and Health Record Informatics (M. Satoh), and Division of Public Relations and Planning (R.E.), Iwate Tohoku Medical Megabank Organization (M. Sasaki, S.K., K. Ogasawara, M.N., J. Hitomi, K. Sobue), Iwate Medical University, Japan; Laboratory for Statistical Analysis (Y. Kamatani, A.T.), RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan (M.K.); Laboratory for Omics Informatics, Omics Research Center, National Cerebral and Cardiovascular Center, Osaka, Japan (A.T.); Department of Environmental Medicine (J. Hata), Department of Medicine and Clinical Science (J. Hata, T.A., T.K.), and Center for Cohort Studies (J. Hata, T.N., T.K.), Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan (T.Y., N.S., M.I., S.T.); Department of Preventive Medicine, Faculty of Medicine, Saga University, Japan (M.H., K. Tanaka); Department of Public Health, Shiga University of Medical Science, Japan (N.T., Y. Kita); Laboratory of Molecular Medicine, Human Genome Center, Institute of Medical Science, The University of Tokyo, Japan (K.M.); Department of Preventive Medicine (K.W.) and Department of Epidemiology (H.T.), Nagoya University Graduate School of Medicine, Japan; Department of Public Health Medicine, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan (K.Y.); Department of Preventive Medicine and Epidemiology (A.H.), Department of Biobank (N.M.), and Department of Integrative Genomics (M.Y.), Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan; Faculty of Nursing Science, Tsuruga Nursing University, Fukui, Japan (Y. Kita); Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Japan (H.I.); Division of Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan (H.T.); and Hisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan (Y. Kiyohara)
| | - Kuniaki Ogasawara
- From the Division of Biomedical Information Analysis (T.H., R.F., Y.S., H.O., K. Ono, M. Satoh, A.S.), Division of Biobank and Data Management (T.H., Y.S., M. Satoh), Division of Clinical Research and Epidemiology (K. Tanno, K. Sakata), Division of Innovation and Education (A.F.), Division of Community Medical Supports and Health Record Informatics (M. Satoh), and Division of Public Relations and Planning (R.E.), Iwate Tohoku Medical Megabank Organization (M. Sasaki, S.K., K. Ogasawara, M.N., J. Hitomi, K. Sobue), Iwate Medical University, Japan; Laboratory for Statistical Analysis (Y. Kamatani, A.T.), RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan (M.K.); Laboratory for Omics Informatics, Omics Research Center, National Cerebral and Cardiovascular Center, Osaka, Japan (A.T.); Department of Environmental Medicine (J. Hata), Department of Medicine and Clinical Science (J. Hata, T.A., T.K.), and Center for Cohort Studies (J. Hata, T.N., T.K.), Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan (T.Y., N.S., M.I., S.T.); Department of Preventive Medicine, Faculty of Medicine, Saga University, Japan (M.H., K. Tanaka); Department of Public Health, Shiga University of Medical Science, Japan (N.T., Y. Kita); Laboratory of Molecular Medicine, Human Genome Center, Institute of Medical Science, The University of Tokyo, Japan (K.M.); Department of Preventive Medicine (K.W.) and Department of Epidemiology (H.T.), Nagoya University Graduate School of Medicine, Japan; Department of Public Health Medicine, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan (K.Y.); Department of Preventive Medicine and Epidemiology (A.H.), Department of Biobank (N.M.), and Department of Integrative Genomics (M.Y.), Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan; Faculty of Nursing Science, Tsuruga Nursing University, Fukui, Japan (Y. Kita); Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Japan (H.I.); Division of Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan (H.T.); and Hisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan (Y. Kiyohara)
| | - Motoyuki Nakamura
- From the Division of Biomedical Information Analysis (T.H., R.F., Y.S., H.O., K. Ono, M. Satoh, A.S.), Division of Biobank and Data Management (T.H., Y.S., M. Satoh), Division of Clinical Research and Epidemiology (K. Tanno, K. Sakata), Division of Innovation and Education (A.F.), Division of Community Medical Supports and Health Record Informatics (M. Satoh), and Division of Public Relations and Planning (R.E.), Iwate Tohoku Medical Megabank Organization (M. Sasaki, S.K., K. Ogasawara, M.N., J. Hitomi, K. Sobue), Iwate Medical University, Japan; Laboratory for Statistical Analysis (Y. Kamatani, A.T.), RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan (M.K.); Laboratory for Omics Informatics, Omics Research Center, National Cerebral and Cardiovascular Center, Osaka, Japan (A.T.); Department of Environmental Medicine (J. Hata), Department of Medicine and Clinical Science (J. Hata, T.A., T.K.), and Center for Cohort Studies (J. Hata, T.N., T.K.), Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan (T.Y., N.S., M.I., S.T.); Department of Preventive Medicine, Faculty of Medicine, Saga University, Japan (M.H., K. Tanaka); Department of Public Health, Shiga University of Medical Science, Japan (N.T., Y. Kita); Laboratory of Molecular Medicine, Human Genome Center, Institute of Medical Science, The University of Tokyo, Japan (K.M.); Department of Preventive Medicine (K.W.) and Department of Epidemiology (H.T.), Nagoya University Graduate School of Medicine, Japan; Department of Public Health Medicine, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan (K.Y.); Department of Preventive Medicine and Epidemiology (A.H.), Department of Biobank (N.M.), and Department of Integrative Genomics (M.Y.), Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan; Faculty of Nursing Science, Tsuruga Nursing University, Fukui, Japan (Y. Kita); Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Japan (H.I.); Division of Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan (H.T.); and Hisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan (Y. Kiyohara)
| | - Jiro Hitomi
- From the Division of Biomedical Information Analysis (T.H., R.F., Y.S., H.O., K. Ono, M. Satoh, A.S.), Division of Biobank and Data Management (T.H., Y.S., M. Satoh), Division of Clinical Research and Epidemiology (K. Tanno, K. Sakata), Division of Innovation and Education (A.F.), Division of Community Medical Supports and Health Record Informatics (M. Satoh), and Division of Public Relations and Planning (R.E.), Iwate Tohoku Medical Megabank Organization (M. Sasaki, S.K., K. Ogasawara, M.N., J. Hitomi, K. Sobue), Iwate Medical University, Japan; Laboratory for Statistical Analysis (Y. Kamatani, A.T.), RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan (M.K.); Laboratory for Omics Informatics, Omics Research Center, National Cerebral and Cardiovascular Center, Osaka, Japan (A.T.); Department of Environmental Medicine (J. Hata), Department of Medicine and Clinical Science (J. Hata, T.A., T.K.), and Center for Cohort Studies (J. Hata, T.N., T.K.), Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan (T.Y., N.S., M.I., S.T.); Department of Preventive Medicine, Faculty of Medicine, Saga University, Japan (M.H., K. Tanaka); Department of Public Health, Shiga University of Medical Science, Japan (N.T., Y. Kita); Laboratory of Molecular Medicine, Human Genome Center, Institute of Medical Science, The University of Tokyo, Japan (K.M.); Department of Preventive Medicine (K.W.) and Department of Epidemiology (H.T.), Nagoya University Graduate School of Medicine, Japan; Department of Public Health Medicine, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan (K.Y.); Department of Preventive Medicine and Epidemiology (A.H.), Department of Biobank (N.M.), and Department of Integrative Genomics (M.Y.), Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan; Faculty of Nursing Science, Tsuruga Nursing University, Fukui, Japan (Y. Kita); Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Japan (H.I.); Division of Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan (H.T.); and Hisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan (Y. Kiyohara)
| | - Yoshikuni Kita
- From the Division of Biomedical Information Analysis (T.H., R.F., Y.S., H.O., K. Ono, M. Satoh, A.S.), Division of Biobank and Data Management (T.H., Y.S., M. Satoh), Division of Clinical Research and Epidemiology (K. Tanno, K. Sakata), Division of Innovation and Education (A.F.), Division of Community Medical Supports and Health Record Informatics (M. Satoh), and Division of Public Relations and Planning (R.E.), Iwate Tohoku Medical Megabank Organization (M. Sasaki, S.K., K. Ogasawara, M.N., J. Hitomi, K. Sobue), Iwate Medical University, Japan; Laboratory for Statistical Analysis (Y. Kamatani, A.T.), RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan (M.K.); Laboratory for Omics Informatics, Omics Research Center, National Cerebral and Cardiovascular Center, Osaka, Japan (A.T.); Department of Environmental Medicine (J. Hata), Department of Medicine and Clinical Science (J. Hata, T.A., T.K.), and Center for Cohort Studies (J. Hata, T.N., T.K.), Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan (T.Y., N.S., M.I., S.T.); Department of Preventive Medicine, Faculty of Medicine, Saga University, Japan (M.H., K. Tanaka); Department of Public Health, Shiga University of Medical Science, Japan (N.T., Y. Kita); Laboratory of Molecular Medicine, Human Genome Center, Institute of Medical Science, The University of Tokyo, Japan (K.M.); Department of Preventive Medicine (K.W.) and Department of Epidemiology (H.T.), Nagoya University Graduate School of Medicine, Japan; Department of Public Health Medicine, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan (K.Y.); Department of Preventive Medicine and Epidemiology (A.H.), Department of Biobank (N.M.), and Department of Integrative Genomics (M.Y.), Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan; Faculty of Nursing Science, Tsuruga Nursing University, Fukui, Japan (Y. Kita); Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Japan (H.I.); Division of Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan (H.T.); and Hisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan (Y. Kiyohara)
| | - Keitaro Tanaka
- From the Division of Biomedical Information Analysis (T.H., R.F., Y.S., H.O., K. Ono, M. Satoh, A.S.), Division of Biobank and Data Management (T.H., Y.S., M. Satoh), Division of Clinical Research and Epidemiology (K. Tanno, K. Sakata), Division of Innovation and Education (A.F.), Division of Community Medical Supports and Health Record Informatics (M. Satoh), and Division of Public Relations and Planning (R.E.), Iwate Tohoku Medical Megabank Organization (M. Sasaki, S.K., K. Ogasawara, M.N., J. Hitomi, K. Sobue), Iwate Medical University, Japan; Laboratory for Statistical Analysis (Y. Kamatani, A.T.), RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan (M.K.); Laboratory for Omics Informatics, Omics Research Center, National Cerebral and Cardiovascular Center, Osaka, Japan (A.T.); Department of Environmental Medicine (J. Hata), Department of Medicine and Clinical Science (J. Hata, T.A., T.K.), and Center for Cohort Studies (J. Hata, T.N., T.K.), Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan (T.Y., N.S., M.I., S.T.); Department of Preventive Medicine, Faculty of Medicine, Saga University, Japan (M.H., K. Tanaka); Department of Public Health, Shiga University of Medical Science, Japan (N.T., Y. Kita); Laboratory of Molecular Medicine, Human Genome Center, Institute of Medical Science, The University of Tokyo, Japan (K.M.); Department of Preventive Medicine (K.W.) and Department of Epidemiology (H.T.), Nagoya University Graduate School of Medicine, Japan; Department of Public Health Medicine, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan (K.Y.); Department of Preventive Medicine and Epidemiology (A.H.), Department of Biobank (N.M.), and Department of Integrative Genomics (M.Y.), Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan; Faculty of Nursing Science, Tsuruga Nursing University, Fukui, Japan (Y. Kita); Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Japan (H.I.); Division of Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan (H.T.); and Hisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan (Y. Kiyohara)
| | - Hiroyasu Iso
- From the Division of Biomedical Information Analysis (T.H., R.F., Y.S., H.O., K. Ono, M. Satoh, A.S.), Division of Biobank and Data Management (T.H., Y.S., M. Satoh), Division of Clinical Research and Epidemiology (K. Tanno, K. Sakata), Division of Innovation and Education (A.F.), Division of Community Medical Supports and Health Record Informatics (M. Satoh), and Division of Public Relations and Planning (R.E.), Iwate Tohoku Medical Megabank Organization (M. Sasaki, S.K., K. Ogasawara, M.N., J. Hitomi, K. Sobue), Iwate Medical University, Japan; Laboratory for Statistical Analysis (Y. Kamatani, A.T.), RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan (M.K.); Laboratory for Omics Informatics, Omics Research Center, National Cerebral and Cardiovascular Center, Osaka, Japan (A.T.); Department of Environmental Medicine (J. Hata), Department of Medicine and Clinical Science (J. Hata, T.A., T.K.), and Center for Cohort Studies (J. Hata, T.N., T.K.), Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan (T.Y., N.S., M.I., S.T.); Department of Preventive Medicine, Faculty of Medicine, Saga University, Japan (M.H., K. Tanaka); Department of Public Health, Shiga University of Medical Science, Japan (N.T., Y. Kita); Laboratory of Molecular Medicine, Human Genome Center, Institute of Medical Science, The University of Tokyo, Japan (K.M.); Department of Preventive Medicine (K.W.) and Department of Epidemiology (H.T.), Nagoya University Graduate School of Medicine, Japan; Department of Public Health Medicine, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan (K.Y.); Department of Preventive Medicine and Epidemiology (A.H.), Department of Biobank (N.M.), and Department of Integrative Genomics (M.Y.), Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan; Faculty of Nursing Science, Tsuruga Nursing University, Fukui, Japan (Y. Kita); Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Japan (H.I.); Division of Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan (H.T.); and Hisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan (Y. Kiyohara)
| | - Takanari Kitazono
- From the Division of Biomedical Information Analysis (T.H., R.F., Y.S., H.O., K. Ono, M. Satoh, A.S.), Division of Biobank and Data Management (T.H., Y.S., M. Satoh), Division of Clinical Research and Epidemiology (K. Tanno, K. Sakata), Division of Innovation and Education (A.F.), Division of Community Medical Supports and Health Record Informatics (M. Satoh), and Division of Public Relations and Planning (R.E.), Iwate Tohoku Medical Megabank Organization (M. Sasaki, S.K., K. Ogasawara, M.N., J. Hitomi, K. Sobue), Iwate Medical University, Japan; Laboratory for Statistical Analysis (Y. Kamatani, A.T.), RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan (M.K.); Laboratory for Omics Informatics, Omics Research Center, National Cerebral and Cardiovascular Center, Osaka, Japan (A.T.); Department of Environmental Medicine (J. Hata), Department of Medicine and Clinical Science (J. Hata, T.A., T.K.), and Center for Cohort Studies (J. Hata, T.N., T.K.), Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan (T.Y., N.S., M.I., S.T.); Department of Preventive Medicine, Faculty of Medicine, Saga University, Japan (M.H., K. Tanaka); Department of Public Health, Shiga University of Medical Science, Japan (N.T., Y. Kita); Laboratory of Molecular Medicine, Human Genome Center, Institute of Medical Science, The University of Tokyo, Japan (K.M.); Department of Preventive Medicine (K.W.) and Department of Epidemiology (H.T.), Nagoya University Graduate School of Medicine, Japan; Department of Public Health Medicine, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan (K.Y.); Department of Preventive Medicine and Epidemiology (A.H.), Department of Biobank (N.M.), and Department of Integrative Genomics (M.Y.), Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan; Faculty of Nursing Science, Tsuruga Nursing University, Fukui, Japan (Y. Kita); Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Japan (H.I.); Division of Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan (H.T.); and Hisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan (Y. Kiyohara)
| | - Michiaki Kubo
- From the Division of Biomedical Information Analysis (T.H., R.F., Y.S., H.O., K. Ono, M. Satoh, A.S.), Division of Biobank and Data Management (T.H., Y.S., M. Satoh), Division of Clinical Research and Epidemiology (K. Tanno, K. Sakata), Division of Innovation and Education (A.F.), Division of Community Medical Supports and Health Record Informatics (M. Satoh), and Division of Public Relations and Planning (R.E.), Iwate Tohoku Medical Megabank Organization (M. Sasaki, S.K., K. Ogasawara, M.N., J. Hitomi, K. Sobue), Iwate Medical University, Japan; Laboratory for Statistical Analysis (Y. Kamatani, A.T.), RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan (M.K.); Laboratory for Omics Informatics, Omics Research Center, National Cerebral and Cardiovascular Center, Osaka, Japan (A.T.); Department of Environmental Medicine (J. Hata), Department of Medicine and Clinical Science (J. Hata, T.A., T.K.), and Center for Cohort Studies (J. Hata, T.N., T.K.), Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan (T.Y., N.S., M.I., S.T.); Department of Preventive Medicine, Faculty of Medicine, Saga University, Japan (M.H., K. Tanaka); Department of Public Health, Shiga University of Medical Science, Japan (N.T., Y. Kita); Laboratory of Molecular Medicine, Human Genome Center, Institute of Medical Science, The University of Tokyo, Japan (K.M.); Department of Preventive Medicine (K.W.) and Department of Epidemiology (H.T.), Nagoya University Graduate School of Medicine, Japan; Department of Public Health Medicine, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan (K.Y.); Department of Preventive Medicine and Epidemiology (A.H.), Department of Biobank (N.M.), and Department of Integrative Genomics (M.Y.), Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan; Faculty of Nursing Science, Tsuruga Nursing University, Fukui, Japan (Y. Kita); Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Japan (H.I.); Division of Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan (H.T.); and Hisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan (Y. Kiyohara)
| | - Hideo Tanaka
- From the Division of Biomedical Information Analysis (T.H., R.F., Y.S., H.O., K. Ono, M. Satoh, A.S.), Division of Biobank and Data Management (T.H., Y.S., M. Satoh), Division of Clinical Research and Epidemiology (K. Tanno, K. Sakata), Division of Innovation and Education (A.F.), Division of Community Medical Supports and Health Record Informatics (M. Satoh), and Division of Public Relations and Planning (R.E.), Iwate Tohoku Medical Megabank Organization (M. Sasaki, S.K., K. Ogasawara, M.N., J. Hitomi, K. Sobue), Iwate Medical University, Japan; Laboratory for Statistical Analysis (Y. Kamatani, A.T.), RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan (M.K.); Laboratory for Omics Informatics, Omics Research Center, National Cerebral and Cardiovascular Center, Osaka, Japan (A.T.); Department of Environmental Medicine (J. Hata), Department of Medicine and Clinical Science (J. Hata, T.A., T.K.), and Center for Cohort Studies (J. Hata, T.N., T.K.), Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan (T.Y., N.S., M.I., S.T.); Department of Preventive Medicine, Faculty of Medicine, Saga University, Japan (M.H., K. Tanaka); Department of Public Health, Shiga University of Medical Science, Japan (N.T., Y. Kita); Laboratory of Molecular Medicine, Human Genome Center, Institute of Medical Science, The University of Tokyo, Japan (K.M.); Department of Preventive Medicine (K.W.) and Department of Epidemiology (H.T.), Nagoya University Graduate School of Medicine, Japan; Department of Public Health Medicine, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan (K.Y.); Department of Preventive Medicine and Epidemiology (A.H.), Department of Biobank (N.M.), and Department of Integrative Genomics (M.Y.), Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan; Faculty of Nursing Science, Tsuruga Nursing University, Fukui, Japan (Y. Kita); Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Japan (H.I.); Division of Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan (H.T.); and Hisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan (Y. Kiyohara)
| | - Shoichiro Tsugane
- From the Division of Biomedical Information Analysis (T.H., R.F., Y.S., H.O., K. Ono, M. Satoh, A.S.), Division of Biobank and Data Management (T.H., Y.S., M. Satoh), Division of Clinical Research and Epidemiology (K. Tanno, K. Sakata), Division of Innovation and Education (A.F.), Division of Community Medical Supports and Health Record Informatics (M. Satoh), and Division of Public Relations and Planning (R.E.), Iwate Tohoku Medical Megabank Organization (M. Sasaki, S.K., K. Ogasawara, M.N., J. Hitomi, K. Sobue), Iwate Medical University, Japan; Laboratory for Statistical Analysis (Y. Kamatani, A.T.), RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan (M.K.); Laboratory for Omics Informatics, Omics Research Center, National Cerebral and Cardiovascular Center, Osaka, Japan (A.T.); Department of Environmental Medicine (J. Hata), Department of Medicine and Clinical Science (J. Hata, T.A., T.K.), and Center for Cohort Studies (J. Hata, T.N., T.K.), Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan (T.Y., N.S., M.I., S.T.); Department of Preventive Medicine, Faculty of Medicine, Saga University, Japan (M.H., K. Tanaka); Department of Public Health, Shiga University of Medical Science, Japan (N.T., Y. Kita); Laboratory of Molecular Medicine, Human Genome Center, Institute of Medical Science, The University of Tokyo, Japan (K.M.); Department of Preventive Medicine (K.W.) and Department of Epidemiology (H.T.), Nagoya University Graduate School of Medicine, Japan; Department of Public Health Medicine, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan (K.Y.); Department of Preventive Medicine and Epidemiology (A.H.), Department of Biobank (N.M.), and Department of Integrative Genomics (M.Y.), Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan; Faculty of Nursing Science, Tsuruga Nursing University, Fukui, Japan (Y. Kita); Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Japan (H.I.); Division of Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan (H.T.); and Hisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan (Y. Kiyohara)
| | - Yutaka Kiyohara
- From the Division of Biomedical Information Analysis (T.H., R.F., Y.S., H.O., K. Ono, M. Satoh, A.S.), Division of Biobank and Data Management (T.H., Y.S., M. Satoh), Division of Clinical Research and Epidemiology (K. Tanno, K. Sakata), Division of Innovation and Education (A.F.), Division of Community Medical Supports and Health Record Informatics (M. Satoh), and Division of Public Relations and Planning (R.E.), Iwate Tohoku Medical Megabank Organization (M. Sasaki, S.K., K. Ogasawara, M.N., J. Hitomi, K. Sobue), Iwate Medical University, Japan; Laboratory for Statistical Analysis (Y. Kamatani, A.T.), RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan (M.K.); Laboratory for Omics Informatics, Omics Research Center, National Cerebral and Cardiovascular Center, Osaka, Japan (A.T.); Department of Environmental Medicine (J. Hata), Department of Medicine and Clinical Science (J. Hata, T.A., T.K.), and Center for Cohort Studies (J. Hata, T.N., T.K.), Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan (T.Y., N.S., M.I., S.T.); Department of Preventive Medicine, Faculty of Medicine, Saga University, Japan (M.H., K. Tanaka); Department of Public Health, Shiga University of Medical Science, Japan (N.T., Y. Kita); Laboratory of Molecular Medicine, Human Genome Center, Institute of Medical Science, The University of Tokyo, Japan (K.M.); Department of Preventive Medicine (K.W.) and Department of Epidemiology (H.T.), Nagoya University Graduate School of Medicine, Japan; Department of Public Health Medicine, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan (K.Y.); Department of Preventive Medicine and Epidemiology (A.H.), Department of Biobank (N.M.), and Department of Integrative Genomics (M.Y.), Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan; Faculty of Nursing Science, Tsuruga Nursing University, Fukui, Japan (Y. Kita); Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Japan (H.I.); Division of Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan (H.T.); and Hisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan (Y. Kiyohara)
| | - Masayuki Yamamoto
- From the Division of Biomedical Information Analysis (T.H., R.F., Y.S., H.O., K. Ono, M. Satoh, A.S.), Division of Biobank and Data Management (T.H., Y.S., M. Satoh), Division of Clinical Research and Epidemiology (K. Tanno, K. Sakata), Division of Innovation and Education (A.F.), Division of Community Medical Supports and Health Record Informatics (M. Satoh), and Division of Public Relations and Planning (R.E.), Iwate Tohoku Medical Megabank Organization (M. Sasaki, S.K., K. Ogasawara, M.N., J. Hitomi, K. Sobue), Iwate Medical University, Japan; Laboratory for Statistical Analysis (Y. Kamatani, A.T.), RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan (M.K.); Laboratory for Omics Informatics, Omics Research Center, National Cerebral and Cardiovascular Center, Osaka, Japan (A.T.); Department of Environmental Medicine (J. Hata), Department of Medicine and Clinical Science (J. Hata, T.A., T.K.), and Center for Cohort Studies (J. Hata, T.N., T.K.), Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan (T.Y., N.S., M.I., S.T.); Department of Preventive Medicine, Faculty of Medicine, Saga University, Japan (M.H., K. Tanaka); Department of Public Health, Shiga University of Medical Science, Japan (N.T., Y. Kita); Laboratory of Molecular Medicine, Human Genome Center, Institute of Medical Science, The University of Tokyo, Japan (K.M.); Department of Preventive Medicine (K.W.) and Department of Epidemiology (H.T.), Nagoya University Graduate School of Medicine, Japan; Department of Public Health Medicine, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan (K.Y.); Department of Preventive Medicine and Epidemiology (A.H.), Department of Biobank (N.M.), and Department of Integrative Genomics (M.Y.), Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan; Faculty of Nursing Science, Tsuruga Nursing University, Fukui, Japan (Y. Kita); Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Japan (H.I.); Division of Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan (H.T.); and Hisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan (Y. Kiyohara)
| | - Kenji Sobue
- From the Division of Biomedical Information Analysis (T.H., R.F., Y.S., H.O., K. Ono, M. Satoh, A.S.), Division of Biobank and Data Management (T.H., Y.S., M. Satoh), Division of Clinical Research and Epidemiology (K. Tanno, K. Sakata), Division of Innovation and Education (A.F.), Division of Community Medical Supports and Health Record Informatics (M. Satoh), and Division of Public Relations and Planning (R.E.), Iwate Tohoku Medical Megabank Organization (M. Sasaki, S.K., K. Ogasawara, M.N., J. Hitomi, K. Sobue), Iwate Medical University, Japan; Laboratory for Statistical Analysis (Y. Kamatani, A.T.), RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan (M.K.); Laboratory for Omics Informatics, Omics Research Center, National Cerebral and Cardiovascular Center, Osaka, Japan (A.T.); Department of Environmental Medicine (J. Hata), Department of Medicine and Clinical Science (J. Hata, T.A., T.K.), and Center for Cohort Studies (J. Hata, T.N., T.K.), Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan (T.Y., N.S., M.I., S.T.); Department of Preventive Medicine, Faculty of Medicine, Saga University, Japan (M.H., K. Tanaka); Department of Public Health, Shiga University of Medical Science, Japan (N.T., Y. Kita); Laboratory of Molecular Medicine, Human Genome Center, Institute of Medical Science, The University of Tokyo, Japan (K.M.); Department of Preventive Medicine (K.W.) and Department of Epidemiology (H.T.), Nagoya University Graduate School of Medicine, Japan; Department of Public Health Medicine, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan (K.Y.); Department of Preventive Medicine and Epidemiology (A.H.), Department of Biobank (N.M.), and Department of Integrative Genomics (M.Y.), Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan; Faculty of Nursing Science, Tsuruga Nursing University, Fukui, Japan (Y. Kita); Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Japan (H.I.); Division of Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan (H.T.); and Hisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan (Y. Kiyohara)
| | - Atsushi Shimizu
- From the Division of Biomedical Information Analysis (T.H., R.F., Y.S., H.O., K. Ono, M. Satoh, A.S.), Division of Biobank and Data Management (T.H., Y.S., M. Satoh), Division of Clinical Research and Epidemiology (K. Tanno, K. Sakata), Division of Innovation and Education (A.F.), Division of Community Medical Supports and Health Record Informatics (M. Satoh), and Division of Public Relations and Planning (R.E.), Iwate Tohoku Medical Megabank Organization (M. Sasaki, S.K., K. Ogasawara, M.N., J. Hitomi, K. Sobue), Iwate Medical University, Japan; Laboratory for Statistical Analysis (Y. Kamatani, A.T.), RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan (M.K.); Laboratory for Omics Informatics, Omics Research Center, National Cerebral and Cardiovascular Center, Osaka, Japan (A.T.); Department of Environmental Medicine (J. Hata), Department of Medicine and Clinical Science (J. Hata, T.A., T.K.), and Center for Cohort Studies (J. Hata, T.N., T.K.), Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan (T.Y., N.S., M.I., S.T.); Department of Preventive Medicine, Faculty of Medicine, Saga University, Japan (M.H., K. Tanaka); Department of Public Health, Shiga University of Medical Science, Japan (N.T., Y. Kita); Laboratory of Molecular Medicine, Human Genome Center, Institute of Medical Science, The University of Tokyo, Japan (K.M.); Department of Preventive Medicine (K.W.) and Department of Epidemiology (H.T.), Nagoya University Graduate School of Medicine, Japan; Department of Public Health Medicine, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan (K.Y.); Department of Preventive Medicine and Epidemiology (A.H.), Department of Biobank (N.M.), and Department of Integrative Genomics (M.Y.), Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan; Faculty of Nursing Science, Tsuruga Nursing University, Fukui, Japan (Y. Kita); Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Japan (H.I.); Division of Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan (H.T.); and Hisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan (Y. Kiyohara).
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Shimazaki Y, Fu B, Yonemoto K, Akifusa S, Shibata Y, Takeshita T, Ninomiya T, Kiyohara Y, Yamashita Y. Stimulated salivary flow rate and oral health status. J Oral Sci 2016; 59:55-62. [PMID: 28049967 DOI: 10.2334/josnusd.16-0372] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Abstract
This study examined the relationship between stimulated salivary flow rate and oral health status in an adult population. Multinomial multivariate logistic regression analysis was used to examine the associations of salivary flow rate with dental caries status and periodontal status at the individual level among 2,110 Japanese adults with ≥10 teeth. Then, a spline model was used to examine the nonlinear relationship between salivary flow rate and teeth with dental caries or periodontal disease in multilevel analysis. Odds ratios were calculated for a 1.0-mL/min reduction in salivary flow rate at a point. After adjusting for confounding variables, participants with a flow rate ≤3.5 mL/min had significantly higher odds ratios for high caries status, and participants with a flow rate ≤1.4 mL/min had a higher odds ratio for broad periodontal disease, than did those with a flow rate >3.5 mL/min. In spline models, the odds ratio for teeth with dental caries or periodontal disease increased with reduced saliva secretion. The present findings suggest that decreased saliva secretion affects both dental caries and general periodontal health status.
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Affiliation(s)
- Yoshihiro Shimazaki
- Section of Preventive and Public Health Dentistry, Division of Oral Health, Growth and Development, Faculty of Dental Science, Kyushu University
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Hata J, Nagai A, Hirata M, Kamatani Y, Tamakoshi A, Yamagata Z, Muto K, Matsuda K, Kubo M, Nakamura Y, Kiyohara Y, Ninomiya T. Risk prediction models for mortality in patients with cardiovascular disease: The BioBank Japan project. J Epidemiol 2016; 27:S71-S76. [PMID: 28142037 PMCID: PMC5350588 DOI: 10.1016/j.je.2016.10.007] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [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: 10/20/2016] [Accepted: 10/26/2016] [Indexed: 11/21/2022] Open
Abstract
Background Cardiovascular disease (CVD) is a leading cause of death in Japan. The present study aimed to develop new risk prediction models for long-term risks of all-cause and cardiovascular death in patients with chronic phase CVD. Methods Among the subjects registered in the BioBank Japan database, 15,058 patients aged ≥40 years with chronic ischemic CVD (ischemic stroke or myocardial infarction) were divided randomly into a derivation cohort (n = 10,039) and validation cohort (n = 5019). These subjects were followed up for 8.55 years in median. Risk prediction models for all-cause and cardiovascular death were developed using the derivation cohort by Cox proportional hazards regression. Their prediction performances for 5-year risk of mortality were evaluated in the validation cohort. Results During the follow-up, all-cause and cardiovascular death events were observed in 2962 and 962 patients from the derivation cohort and 1536 and 481 from the validation cohort, respectively. Risk prediction models for all-cause and cardiovascular death were developed from the derivation cohort using ten traditional cardiovascular risk factors, namely, age, sex, CVD subtype, hypertension, diabetes, total cholesterol, body mass index, current smoking, current drinking, and physical activity. These models demonstrated modest discrimination (c-statistics, 0.703 for all-cause death; 0.685 for cardiovascular death) and good calibration (Hosmer-Lemeshow χ2-test, P = 0.17 and 0.15, respectively) in the validation cohort. Conclusions We developed and validated risk prediction models of all-cause and cardiovascular death for patients with chronic ischemic CVD. These models would be useful for estimating the long-term risk of mortality in chronic phase CVD. We developed risk prediction models for death after cardiovascular disease (CVD). Performances of these models were validated in an independent cohort. Our models may be used to estimate mortality risk in chronic CVD patients.
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Affiliation(s)
- Jun Hata
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Akiko Nagai
- Department of Public Policy, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Makoto Hirata
- Laboratory of Genome Technology, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Yoichiro Kamatani
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Akiko Tamakoshi
- Department of Public Health, Hokkaido University Graduate School of Medicine, Hokkaido, Japan
| | - Zentaro Yamagata
- Department of Health Sciences, University of Yamanashi, Yamanashi, Japan
| | - Kaori Muto
- Department of Public Policy, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Koichi Matsuda
- Laboratory of Molecular Medicine, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Michiaki Kubo
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Yusuke Nakamura
- Laboratory of Molecular Medicine, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Yutaka Kiyohara
- Hisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan
| | - Toshiharu Ninomiya
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
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Ikeda F, Shikata K, Hata J, Fukuhara M, Hirakawa Y, Ohara T, Mukai N, Nagata M, Yoshida D, Yonemoto K, Esaki M, Kitazono T, Kiyohara Y, Ninomiya T. Combination of Helicobacter pylori Antibody and Serum Pepsinogen as a Good Predictive Tool of Gastric Cancer Incidence: 20-Year Prospective Data From the Hisayama Study. J Epidemiol 2016; 26:629-636. [PMID: 27265836 PMCID: PMC5121431 DOI: 10.2188/jea.je20150258] [Citation(s) in RCA: 46] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2015] [Accepted: 01/13/2016] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND There is little information regarding whether the combination of Helicobacter pylori (H. pylori) antibody and serum pepsinogen (sPG), which is a marker of the degree of atrophic gastritis, has a discriminatory ability for detecting incident gastric cancer. We examined this issue in a long-term prospective cohort study of a Japanese population. METHODS A total of 2446 Japanese community-dwelling individuals aged ≥40 years were stratified into four groups according to baseline H. pylori serological status and sPG: Group A (H. pylori[-], sPG[-]), Group B (H. pylori[+], sPG[-]), Group C (H. pylori[+], sPG[+]), and Group D (H. pylori[-], sPG[+]), and participants were followed up prospectively for 20 years. RESULTS During the follow-up, 123 subjects developed gastric cancer. Compared with that in Group A, the cumulative incidence of gastric cancer was significantly increased in Groups B, C, and D, whereas no significant difference was found between Groups C and D. The multivariable-adjusted risk of gastric cancer was significantly increased in Group B (hazard ratio [HR], 4.08; 95% confidence interval [CI], 1.62-10.28) and in Groups C and D combined (HR 11.1; 95% CI, 4.45-27.46). When the multivariable model with H. pylori antibody was changed into that with the combination of H. pylori antibody and sPG, the C statistics for developing gastric cancer increased significantly (0.773 vs 0.732, P = 0.005), and the continuous net reclassification improvement value was 0.591 (P < 0.001). CONCLUSIONS Our findings suggest that the combination of H. pylori antibody and sPG is a useful tool for predicting the development of gastric cancer.
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Yamazaki N, Uhara H, Kiyohara Y. 406P Phase 2 study of nivolumab (NIVO) in Japanese patients with previously untreated advanced melanoma: long-term efficacy and safety. Ann Oncol 2016. [DOI: 10.1093/annonc/mdw589.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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