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Fujita K, Yoshida S, Ishizaki R, Yamamoto E, Takahashi N, Iwamae A. Estimation of the relationship between the thermal environment of a house in winter and its occupants' health. ENVIRONMENTAL RESEARCH 2024; 253:119147. [PMID: 38754611 DOI: 10.1016/j.envres.2024.119147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Revised: 05/06/2024] [Accepted: 05/13/2024] [Indexed: 05/18/2024]
Abstract
This study aims to quantify the relationship between the arbitrary thermal environment of houses in winter and their occupants' health through a comprehensive questionnaire survey, involving approximately 24,000 individuals who moved into insulated dwellings in Japan. A relationship between the degree of the thermal insulation of these houses and corresponding rates of improvement in the following 10 diseases were formulated: heart disease, cerebrovascular disease, hypertension, diabetes mellitus, asthma, dermatitis and eczema, pneumonia, inflammatory polyarthropathies, allergic rhinitis, and conjunctivitis. Following the statistical analysis of these outcomes, significant differences in improvement rates were identified among the levels of the thermal insulation of houses for the following five diseases: cerebrovascular diseases, asthma, dermatitis and eczema, allergic rhinitis, and conjunctivitis. In addition, the thermal environments of houses corresponding to each thermal insulation level were estimated by numerical simulations. Using these results, we organized the relationships between the thermal environment conditions of houses and observed prevalence rate for the following four diseases for which the improvement rates increased with increasing insulation levels and significant differences were identified: asthma, dermatitis and eczema, allergic rhinitis, and conjunctivitis. Consequently, we formulated equations to predict the prevalence rates of these diseases using the "mean operative temperature of rooms occupied by each family member from January 1 to February 28."
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Affiliation(s)
- Koji Fujita
- Faculty of Biology-Oriented Science and Technology, Kindai University, 930 Nishimitani, Kinokawa, Wakayama, 649-6493, Japan.
| | - Satoshi Yoshida
- LIXIL Corporation, 24F Osaki Garden Tower, 1-1-1, Nishi-shinagawa, Shinagawa-ku, Tokyo, 141-0033, Japan
| | - Risa Ishizaki
- LIXIL Corporation, 24F Osaki Garden Tower, 1-1-1, Nishi-shinagawa, Shinagawa-ku, Tokyo, 141-0033, Japan
| | - Eiji Yamamoto
- LIXIL Corporation, 24F Osaki Garden Tower, 1-1-1, Nishi-shinagawa, Shinagawa-ku, Tokyo, 141-0033, Japan
| | - Naoko Takahashi
- LIXIL Corporation, 24F Osaki Garden Tower, 1-1-1, Nishi-shinagawa, Shinagawa-ku, Tokyo, 141-0033, Japan
| | - Atsushi Iwamae
- Faculty of Architecture, Kindai University, 3-4-1 Kowakae, Higashiosaka, Osaka, 577-8502, Japan
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Peng S, Li Z, Ji JS, Chen B, Yin X, Zhang W, Liu F, Shen H, Xiang H. Interaction between Extreme Temperature Events and Fine Particulate Matter on Cardiometabolic Multimorbidity: Evidence from Four National Cohort Studies. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2024. [PMID: 38961056 DOI: 10.1021/acs.est.4c02080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/05/2024]
Abstract
Accumulating evidence linked extreme temperature events (ETEs) and fine particulate matter (PM2.5) to cardiometabolic multimorbidity (CMM); however, it remained unknown if and how ETEs and PM2.5 interact to trigger CMM occurrence. Merging four Chinese national cohorts with 64,140 free-CMM adults, we provided strong evidence among ETEs, PM2.5 exposure, and CMM occurrence. Performing Cox hazards regression models along with additive interaction analyses, we found that the hazards ratio (HRs) of CMM occurrence associated with heatwave and cold spell were 1.006-1.019 and 1.063-1.091, respectively. Each 10 μg/m3 increment of PM2.5 concentration was associated with 17.9% (95% confidence interval: 13.9-22.0%) increased risk of CMM. Similar adverse effects were also found among PM2.5 constituents of nitrate, organic matter, sulfate, ammonium, and black carbon. We observed a synergetic interaction of heatwave and PM2.5 pollution on CMM occurrence with relative excess risk due to the interaction of 0.999 (0.663-1.334). Our study provides novel evidence that both ETEs and PM2.5 exposure were positively associated with CMM occurrence, and the heatwave interacts synergistically with PM2.5 to trigger CMM.
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Affiliation(s)
- Shouxin Peng
- Global Health Department, School of Public Health, Wuhan University, Wuhan 430071, China
- Global Health Institute, Wuhan University, Wuhan 430071, China
| | - Zhaoyuan Li
- Global Health Department, School of Public Health, Wuhan University, Wuhan 430071, China
- Global Health Institute, Wuhan University, Wuhan 430071, China
| | - John S Ji
- Vanke School of Public Health, Tsinghua University, Beijing 100084, China
| | - Bingbing Chen
- Global Health Department, School of Public Health, Wuhan University, Wuhan 430071, China
| | - Xiaoyi Yin
- Global Health Department, School of Public Health, Wuhan University, Wuhan 430071, China
| | - Wei Zhang
- Global Health Department, School of Public Health, Wuhan University, Wuhan 430071, China
| | - Feifei Liu
- Global Health Department, School of Public Health, Wuhan University, Wuhan 430071, China
- Global Health Institute, Wuhan University, Wuhan 430071, China
| | - Huanfeng Shen
- School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China
| | - Hao Xiang
- Global Health Department, School of Public Health, Wuhan University, Wuhan 430071, China
- Global Health Institute, Wuhan University, Wuhan 430071, China
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Qu C, Chen Y, Liu C, Hu Z, Zhang J, Yan L, Zhang H, Liu Y, Liu W, Cheng Q, Luo P, Liu Z. Burden of Stroke Attributable to Nonoptimal Temperature in 204 Countries and Territories: A Population-Based Study, 1990-2019. Neurology 2024; 102:e209299. [PMID: 38598742 PMCID: PMC11175652 DOI: 10.1212/wnl.0000000000209299] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Accepted: 01/30/2024] [Indexed: 04/12/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Stroke attributable to nonoptimal temperature needs more attention with dramatic climate change. The aim of this study was to estimate the global burden and distribution characteristics of the burden. METHODS In this ecological study, we collected data from the Climate Research Unit Gridded Time Series, the World Bank databases, and the Global Burden of Diseases study to estimate the distribution of burden. We used the joinpoint model, decomposition analysis, age-period-cohort model, panel data analysis, and health inequality analysis to assess the different types of stroke burden attributable to different climatic conditions. RESULTS The burden of stroke attributable to nonoptimal temperature continued to grow, and aging was a key factor in this increase. In 2019, 521,031 (95% uncertainty interval [UI] 402,433-663,996) deaths and 9,423,649 (95% UI 7,207,660-12,055,172) disability-adjusted life years [DALYs] attributable to stroke due to nonoptimal temperature were recorded globally. Globally, men (age-standardized mortality rate [ASMR] 7.70, 95% UI 5.80-9.73; age-standardized DALY rate [ASDR] 139.69, 95% UI 102.96-178.54 in 2019) had a heavier burden than women (ASMR 5.89, 95% UI 4.50-7.60; ASDR 96.02, 95% UI 72.62-123.85 in 2019). Central Asia (ASMR 18.12, 95% UI 13.40-24.53; ASDR 327.35, 95% UI 240.24-440.61 in 2019) had the heaviest burden at the regional level. In the national level, North Macedonia (ASMR 32.97, 95% UI 20.57-47.44 in 2019) and Mongolia (ASDR 568.54, 95% UI 242.03-1,031.14 in 2019) had the highest ASMR/ASDR, respectively. Low temperature currently contributes to the main burden (deaths 474,002, 95% UI 355,077-606,537; DALYs 8,357,198, 95% UI 6,186,217-10,801,911 attributable to low temperature vs deaths 48,030, 95% UI 5,630-104,370; DALYs 1,089,329, 95% UI 112,690-2,375,345 attributable to high temperature in 2019). However, the burden due to high temperature has increased rapidly, especially among people aged older than 10 years, and was disproportionately concentrated in low sociodemographic index (SDI) regions such as Africa. In addition, the rapid increase in the stroke burden due to high temperature in Central Asia also requires special attention. DISCUSSION This is the first study to assess the global stroke burden attributed to nonoptimal temperature. The dramatic increase in the burden due to high temperature requires special attention, especially in low-SDI countries.
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Affiliation(s)
- Chunrun Qu
- From the Department of Neurosurgery (C.Q., Y.C., J.Z., Q.C., Z.L.), National Clinical Research Center for Geriatric Disorders (C.Q., Y.C., J.Z., Q.C., Z.L.), Xiangya Hospital, and XiangYa School of Medicine (C.Q., Y.C., C.L., Z.H., L.Y., Y.L., W.L.), Central South University, Changsha, Hunan; Department of Neurosurgery (H.Z.), The Second Affiliated Hospital, Chongqing Medical University; and Department of Oncology (P.L.), Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Yu Chen
- From the Department of Neurosurgery (C.Q., Y.C., J.Z., Q.C., Z.L.), National Clinical Research Center for Geriatric Disorders (C.Q., Y.C., J.Z., Q.C., Z.L.), Xiangya Hospital, and XiangYa School of Medicine (C.Q., Y.C., C.L., Z.H., L.Y., Y.L., W.L.), Central South University, Changsha, Hunan; Department of Neurosurgery (H.Z.), The Second Affiliated Hospital, Chongqing Medical University; and Department of Oncology (P.L.), Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Chen Liu
- From the Department of Neurosurgery (C.Q., Y.C., J.Z., Q.C., Z.L.), National Clinical Research Center for Geriatric Disorders (C.Q., Y.C., J.Z., Q.C., Z.L.), Xiangya Hospital, and XiangYa School of Medicine (C.Q., Y.C., C.L., Z.H., L.Y., Y.L., W.L.), Central South University, Changsha, Hunan; Department of Neurosurgery (H.Z.), The Second Affiliated Hospital, Chongqing Medical University; and Department of Oncology (P.L.), Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Zhiwen Hu
- From the Department of Neurosurgery (C.Q., Y.C., J.Z., Q.C., Z.L.), National Clinical Research Center for Geriatric Disorders (C.Q., Y.C., J.Z., Q.C., Z.L.), Xiangya Hospital, and XiangYa School of Medicine (C.Q., Y.C., C.L., Z.H., L.Y., Y.L., W.L.), Central South University, Changsha, Hunan; Department of Neurosurgery (H.Z.), The Second Affiliated Hospital, Chongqing Medical University; and Department of Oncology (P.L.), Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Jingwei Zhang
- From the Department of Neurosurgery (C.Q., Y.C., J.Z., Q.C., Z.L.), National Clinical Research Center for Geriatric Disorders (C.Q., Y.C., J.Z., Q.C., Z.L.), Xiangya Hospital, and XiangYa School of Medicine (C.Q., Y.C., C.L., Z.H., L.Y., Y.L., W.L.), Central South University, Changsha, Hunan; Department of Neurosurgery (H.Z.), The Second Affiliated Hospital, Chongqing Medical University; and Department of Oncology (P.L.), Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Luzhe Yan
- From the Department of Neurosurgery (C.Q., Y.C., J.Z., Q.C., Z.L.), National Clinical Research Center for Geriatric Disorders (C.Q., Y.C., J.Z., Q.C., Z.L.), Xiangya Hospital, and XiangYa School of Medicine (C.Q., Y.C., C.L., Z.H., L.Y., Y.L., W.L.), Central South University, Changsha, Hunan; Department of Neurosurgery (H.Z.), The Second Affiliated Hospital, Chongqing Medical University; and Department of Oncology (P.L.), Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Hao Zhang
- From the Department of Neurosurgery (C.Q., Y.C., J.Z., Q.C., Z.L.), National Clinical Research Center for Geriatric Disorders (C.Q., Y.C., J.Z., Q.C., Z.L.), Xiangya Hospital, and XiangYa School of Medicine (C.Q., Y.C., C.L., Z.H., L.Y., Y.L., W.L.), Central South University, Changsha, Hunan; Department of Neurosurgery (H.Z.), The Second Affiliated Hospital, Chongqing Medical University; and Department of Oncology (P.L.), Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Yifan Liu
- From the Department of Neurosurgery (C.Q., Y.C., J.Z., Q.C., Z.L.), National Clinical Research Center for Geriatric Disorders (C.Q., Y.C., J.Z., Q.C., Z.L.), Xiangya Hospital, and XiangYa School of Medicine (C.Q., Y.C., C.L., Z.H., L.Y., Y.L., W.L.), Central South University, Changsha, Hunan; Department of Neurosurgery (H.Z.), The Second Affiliated Hospital, Chongqing Medical University; and Department of Oncology (P.L.), Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Wanyao Liu
- From the Department of Neurosurgery (C.Q., Y.C., J.Z., Q.C., Z.L.), National Clinical Research Center for Geriatric Disorders (C.Q., Y.C., J.Z., Q.C., Z.L.), Xiangya Hospital, and XiangYa School of Medicine (C.Q., Y.C., C.L., Z.H., L.Y., Y.L., W.L.), Central South University, Changsha, Hunan; Department of Neurosurgery (H.Z.), The Second Affiliated Hospital, Chongqing Medical University; and Department of Oncology (P.L.), Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Quan Cheng
- From the Department of Neurosurgery (C.Q., Y.C., J.Z., Q.C., Z.L.), National Clinical Research Center for Geriatric Disorders (C.Q., Y.C., J.Z., Q.C., Z.L.), Xiangya Hospital, and XiangYa School of Medicine (C.Q., Y.C., C.L., Z.H., L.Y., Y.L., W.L.), Central South University, Changsha, Hunan; Department of Neurosurgery (H.Z.), The Second Affiliated Hospital, Chongqing Medical University; and Department of Oncology (P.L.), Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Peng Luo
- From the Department of Neurosurgery (C.Q., Y.C., J.Z., Q.C., Z.L.), National Clinical Research Center for Geriatric Disorders (C.Q., Y.C., J.Z., Q.C., Z.L.), Xiangya Hospital, and XiangYa School of Medicine (C.Q., Y.C., C.L., Z.H., L.Y., Y.L., W.L.), Central South University, Changsha, Hunan; Department of Neurosurgery (H.Z.), The Second Affiliated Hospital, Chongqing Medical University; and Department of Oncology (P.L.), Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Zhixiong Liu
- From the Department of Neurosurgery (C.Q., Y.C., J.Z., Q.C., Z.L.), National Clinical Research Center for Geriatric Disorders (C.Q., Y.C., J.Z., Q.C., Z.L.), Xiangya Hospital, and XiangYa School of Medicine (C.Q., Y.C., C.L., Z.H., L.Y., Y.L., W.L.), Central South University, Changsha, Hunan; Department of Neurosurgery (H.Z.), The Second Affiliated Hospital, Chongqing Medical University; and Department of Oncology (P.L.), Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
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Jingesi M, Lan S, Hu J, Dai M, Huang S, Chen S, Liu N, Lv Z, Ji J, Li X, Wang P, Cheng J, Peng J, Yin P. Association between thermal stress and cardiovascular mortality in the subtropics. INTERNATIONAL JOURNAL OF BIOMETEOROLOGY 2023; 67:2093-2106. [PMID: 37878088 DOI: 10.1007/s00484-023-02565-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Revised: 09/13/2023] [Accepted: 10/15/2023] [Indexed: 10/26/2023]
Abstract
Hazardous thermal conditions resulting from climate change may play a role in cardiovascular disease development. We chose the Universal Thermal Climate Index (UTCI) as the exposure metric to evaluate the relationship between thermal conditions and cardiovascular mortality in Shenzhen, China. We applied quasi-Poisson regression non-linear distributed lag models to evaluate the exposure-response associations. The findings suggest that cardiovascular mortality risks were significantly increased under heat and cold stress, and the adverse effects of cold stress were stronger than heat stress. Referencing the 50th percentile of UTCI (25.4°C), the cumulative risk of cardiovascular mortality was 75% (RRlag0-21 =1.75, 95%CI: 1.32, 2.32) higher in the 1st percentile (3.5°C), and 40% (RRlag0-21=1.40, 95%CI: 1.09, 1.80) higher in the 99th percentile (34.1°C). We observed that individuals older than 65 years were more vulnerable to both cold and heat stress, and females were identified as more susceptible to heat stress than males. Moreover, increased mortality risks of hypertensive disease and cerebrovascular disease were observed under cold stress, while heat stress was related to higher risks of mortality for hypertensive disease and ischemic heart disease. We also observed a stronger relationship between cold stress and ischemic heart disease mortality during the cold season, as well as a significant impact of heat stress on cerebrovascular disease mortality in the warm season when compared to the analysis of the entire year. These results confirm the significant relationship between thermal stress and cardiovascular mortality, with age and sex as potential effect modifiers of this association. Providing affordable air conditioning equipment, increasing the amount of vegetation, and establishing comprehensive early warning systems that take human thermoregulation into account could all help to safeguard the well-being of the public, particularly vulnerable populations, in the event of future extreme weather.
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Affiliation(s)
- Maidina Jingesi
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, 430030, Hubei, China
| | - Shuhua Lan
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, 430030, Hubei, China
| | - Jing Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, 430030, Hubei, China
| | - Mengyi Dai
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, 430030, Hubei, China
| | - Suli Huang
- Shenzhen Center for Disease Control and Prevention, 8 Longyuan Rd, Shenzhen, 518055, Guangdong, China
| | - Siyi Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, 430030, Hubei, China
| | - Ning Liu
- Shenzhen Center for Disease Control and Prevention, 8 Longyuan Rd, Shenzhen, 518055, Guangdong, China
| | - Ziquan Lv
- Shenzhen Center for Disease Control and Prevention, 8 Longyuan Rd, Shenzhen, 518055, Guangdong, China
| | - Jiajia Ji
- Shenzhen Center for Disease Control and Prevention, 8 Longyuan Rd, Shenzhen, 518055, Guangdong, China
| | - Xiaoheng Li
- Shenzhen Center for Disease Control and Prevention, 8 Longyuan Rd, Shenzhen, 518055, Guangdong, China
| | - Peng Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, 430030, Hubei, China
| | - Jinquan Cheng
- Shenzhen Center for Disease Control and Prevention, 8 Longyuan Rd, Shenzhen, 518055, Guangdong, China
| | - Ji Peng
- Shenzhen Center for Chronic Disease Control, 2021 Buxin Rd, Shenzhen, 518020, Guangdong, China
| | - Ping Yin
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Rd, Wuhan, 430030, Hubei, China.
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Okada A, Yamana H, Pan R, Yamaguchi S, Kumazawa R, Matsui H, Fushimi K, Honda Y, Nangaku M, Yamauchi T, Yasunaga H, Kadowaki T, Kim Y. Effect modification of the association between temperature variability and hospitalization for cardiovascular disease by comorbid diabetes mellitus: A nationwide time-stratified case-crossover analysis. Diabetes Res Clin Pract 2023; 202:110771. [PMID: 37276982 DOI: 10.1016/j.diabres.2023.110771] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Revised: 05/26/2023] [Accepted: 06/02/2023] [Indexed: 06/07/2023]
Abstract
AIMS We aimed to explore the association between short-term exposure to temperature variability (TV), and cardiovascular hospitalization stratified by the presence of comorbid diabetes. METHODS We collected data on nationwide hospitalization for cardiovascular diseases and daily weather conditions during 2011-2018 in Japan. TV was calculated as the standard deviation of daily minimum and maximum temperatures within 0-7 lag days. We applied a two-stage time-stratified case-crossover design to estimate the association between TV and cardiovascular hospitalization with and without comorbid diabetes, adjusting for temperature and relative humidity. Furthermore, specific cardiovascular disease causes, demographic characteristics, and seasons were used for stratification. RESULTS In 3,844,910 hospitalizations for cardiovascular disease, each 1 °C increase in TV was associated with a 0.44% (95% CI: 0.22%, 0.65%) increase in the risk of cardiovascular admission. We observed a 2.07% (95% CI: 1.16%, 2.99%) and 0.61% (95% CI: -0.02%, 1.23%) increase per 1 °C in risk of heart failure admission in individuals with and those without diabetes, respectively. The higher risk among individuals with diabetes was mostly consistent in the analyses stratified by age, sex, body mass index, smoking status, and season. CONCLUSION Comorbid diabetes may increase susceptibility to TV in relation to acute cardiovascular disease hospitalization.
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Affiliation(s)
- Akira Okada
- Department of Prevention of Diabetes and Lifestyle-Related Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Hayato Yamana
- Data Science Center, Jichi Medical University, Shimotsuke, Japan
| | - Rui Pan
- Department of Global Environmental Health, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Satoko Yamaguchi
- Department of Prevention of Diabetes and Lifestyle-Related Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Ryosuke Kumazawa
- Department of Clinical Epidemiology and Health Economics, The University of Tokyo, Tokyo, Japan
| | - Hiroki Matsui
- Department of Clinical Epidemiology and Health Economics, The University of Tokyo, Tokyo, Japan
| | - Kiyohide Fushimi
- Department of Health Policy and Informatics, Tokyo Medical and Dental University, Tokyo, Japan
| | - Yasushi Honda
- Faculty of Health and Sport Sciences, University of Tsukuba, Tsukuba, Japan
| | - Masaomi Nangaku
- Division of Nephrology and Endocrinology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Toshimasa Yamauchi
- Department of Diabetes and Metabolism, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Hideo Yasunaga
- Department of Clinical Epidemiology and Health Economics, The University of Tokyo, Tokyo, Japan
| | - Takashi Kadowaki
- Department of Prevention of Diabetes and Lifestyle-Related Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan; Department of Diabetes and Metabolism, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan; Toranomon Hospital, Tokyo, Japan
| | - Yoonhee Kim
- Department of Global Environmental Health, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
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