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Mou P, Qu H, Guan J, Yao Y, Zhang Z, Dong J. Extreme temperature events, functional dependency, and cardiometabolic multimorbidity: Insights from a national cohort study in China. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 284:117013. [PMID: 39241607 DOI: 10.1016/j.ecoenv.2024.117013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/17/2024] [Revised: 09/02/2024] [Accepted: 09/03/2024] [Indexed: 09/09/2024]
Abstract
BACKGROUND Extreme temperature events (ETEs), including heatwaves and cold spells, are attracting increasing attention because of their impacts on human health. However, the association between ETEs and cardiometabolic multimorbidity (CMM) and the role of functional dependency in this relationship remain unclear. METHODS A prospective cohort study was conducted using data from the China Health and Retirement Longitudinal Study (CHARLS) from 2011 to 2020, considering 12 definitions each for heatwaves and cold spells, and three levels of functional dependency. Mixed Cox models with time-varying variables were used to comprehensively assess the independent and combined effects of ETEs and functional dependency on CMM. Additionally, subgroup analyses were conducted to investigate whether the relationship between ETEs and CMM was modified by the baseline characteristics. RESULTS Heatwave and cold spell exposures were associated with an increased risk of CMM (HR range: 1.028-1.102 and 1.046-1.187, respectively). Compared to participants with normal functional abilities, the risk of CMM increased with higher levels of functional dependency (HR range: 1.938-2.185). ETEs exposure and functional dependency are jointly associated with CMM risk. Participants with high-intensity ETEs exposure and high functional dependency had the greatest risk of developing CMM. Participants aged 60 and above were more susceptible to the effects of ETEs on CMM. Additionally, urban residents and those in northern regions were more vulnerable to heatwaves. CONCLUSION Both ETEs exposure and functional dependency increase the risk of developing CMM. Participants with functional dependency exposed to high-intensity ETEs faced the highest risk of developing CMM. These findings highlight the significant impact of ETEs on CMM and the importance of protecting vulnerable populations during periods of extreme temperature.
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Affiliation(s)
- Pengsen Mou
- Key Laboratory of Environmental Stress and Chronic Disease Control and Prevention, Ministry of Education, China Medical University, No.77 Puhe Road, Shenyang 110122, PR China; Department of Occupational and Environmental Health, School of Public Health, China Medical University, No.77 Puhe Road, Shenyang 110122, PR China
| | - Huiyan Qu
- Yichang Center for Disease Control and Prevention, Yichang, PR China
| | - Jiaxin Guan
- Key Laboratory of Environmental Stress and Chronic Disease Control and Prevention, Ministry of Education, China Medical University, No.77 Puhe Road, Shenyang 110122, PR China; Department of Occupational and Environmental Health, School of Public Health, China Medical University, No.77 Puhe Road, Shenyang 110122, PR China
| | - Yuxin Yao
- Key Laboratory of Environmental Stress and Chronic Disease Control and Prevention, Ministry of Education, China Medical University, No.77 Puhe Road, Shenyang 110122, PR China; Department of Occupational and Environmental Health, School of Public Health, China Medical University, No.77 Puhe Road, Shenyang 110122, PR China
| | - Zhongbo Zhang
- Department of Pancreatic and Biliary Surgery, The First Hospital of China Medical University, 155 Nanjing North Street, Heping, Shenyang 110001, PR China.
| | - Jing Dong
- Key Laboratory of Environmental Stress and Chronic Disease Control and Prevention, Ministry of Education, China Medical University, No.77 Puhe Road, Shenyang 110122, PR China; Department of Occupational and Environmental Health, School of Public Health, China Medical University, No.77 Puhe Road, Shenyang 110122, PR China.
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Wang SN, Shi YC, Lin S, He HF. Particulate matter 2.5 accelerates aging: Exploring cellular senescence and age-related diseases. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 284:116920. [PMID: 39208581 DOI: 10.1016/j.ecoenv.2024.116920] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/07/2024] [Revised: 08/17/2024] [Accepted: 08/20/2024] [Indexed: 09/04/2024]
Abstract
Exposure to Particulate matter 2.5 (PM2.5) accelerates aging, causing declines in tissue and organ function, and leading to diseases such as cardiovascular, neurodegenerative, and musculoskeletal disorders. PM2.5 is a major environmental pollutant and an exogenous pathogen in air pollution that is now recognized as an accelerator of human aging and a predisposing factor for several age-related diseases. In this paper, we seek to elucidate the mechanisms by which PM2.5 induces cellular senescence, such as genomic instability, telomere attrition, epigenetic alterations, loss of proteostasis, and mitochondrial dysfunction, and age-related diseases. Our goal is to increase awareness among researchers within the field of the toxicity of environmental pollutants and to advocate for personal and public health initiatives to curb their production and enhance population protection. Through these endeavors, we aim to promote longevity and health in older adults.
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Affiliation(s)
- Sheng-Nan Wang
- Department of Anesthesiology, the Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian Province, China
| | - Yan-Chuan Shi
- Centre of Neurological and Metabolic Research, the Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian Province, China; Group of Neuroendocrinology, Garvan Institute of Medical Research, 384 Victoria St, Sydney, Australia; St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Australia
| | - Shu Lin
- Centre of Neurological and Metabolic Research, the Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian Province, China; Group of Neuroendocrinology, Garvan Institute of Medical Research, 384 Victoria St, Sydney, Australia.
| | - He-Fan He
- Department of Anesthesiology, the Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian Province, China.
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Zhang C, Zeng Q, Liu X, He Q, Zhang J, Zhao S, Hu H. Association of Blood Selenium Levels with Diabetes and Heart Failure in American General Adults: a Cross-sectional Study of NHANES 2011-2020 pre. Biol Trace Elem Res 2024; 202:3413-3424. [PMID: 37996718 PMCID: PMC11144148 DOI: 10.1007/s12011-023-03933-4] [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: 08/19/2023] [Accepted: 10/23/2023] [Indexed: 11/25/2023]
Abstract
Selenium is an essential trace element closely related to human health; however, the relationship between blood selenium levels, diabetes, and heart failure remains inconclusive. Therefore, this study aimed to explore the relationship between blood selenium levels and the prevalence of diabetes as well as heart failure in American general adults aged 20 years or older. This study utilized data from four survey cycles from NHANES 2011-2020 pre. Blood selenium levels were considered as both a continuous variable and quartiles, and logistic regression was employed to investigate the associations between blood selenium levels with diabetes and heart failure. Nonlinear relationships were examined by restricted cubic spline regression. The analysis included a total of 16311 participants aged 20 years or older. After adjustment for all potential confounder, we found when the blood selenium levels increased by 10 ug/L, the average risk of diabetes increased by 4.2% (95% CI: 1.5%, 7.0%), and the average risk of heart failure decreased by 5.0% (95% CI: 0.1%, 9.8%). In addition, compared with the lowest reference group, blood selenium levels were significantly positively associated with risk of diabetes in participants in the fourth quartile (OR=1.458, 95% CI: 1.173, 1.812), while significantly negatively associated with the risk of heart failure in participants in the second, third and fourth quartiles (Q2, OR=0.677, 95% CI: 0.471, 0.974) (Q3, OR=0.609, 95% CI: 0.426, 0.870) (Q4, OR=0.653, 95% CI: 0.443, 0.961). There was a nonlinear and reverse L-shaped association between blood selenium and diabetes, while a negative dose-response association between blood selenium and heart failure. Furthermore, the association between blood selenium levels and heart failure was more pronounced in participants with poor glycemic control, rather than diabetic patients. High blood selenium levels may be positively related to diabetes, while low blood selenium levels may be associated to heart failure. Appropriate blood selenium levels may help prevent diabetes and heart failure.
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Affiliation(s)
- Chongyang Zhang
- Institute of Medical Information/Library, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100020, China
| | - Qingjia Zeng
- Institute of Medical Information/Library, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100020, China
| | - Xinyao Liu
- Institute of Medical Information/Library, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100020, China
| | - Qile He
- Institute of Medical Information/Library, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100020, China
| | - Jinyao Zhang
- Institute of Medical Information/Library, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100020, China
| | - Shanshan Zhao
- Institute of Medical Information/Library, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100020, China
| | - Hongpu Hu
- Institute of Medical Information/Library, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100020, China.
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Hu K, Cao B, Lu H, Xu J, Zhang Y, Wang C. Changes in PM 2.5-related diabetes risk under the implementation of the clean air act in Shanghai. Diabetes Res Clin Pract 2024; 212:111716. [PMID: 38777130 DOI: 10.1016/j.diabres.2024.111716] [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: 04/18/2024] [Revised: 05/15/2024] [Accepted: 05/19/2024] [Indexed: 05/25/2024]
Abstract
OBJECTIVES We examined the associations between PM2.5 exposure and Type 2 diabetes mellitus risk under the implementation of the Clean Air Act (CAA) among high-risk population for diabetes in Shanghai. METHODS A total of 10,499 subjects from the Shanghai High-Risk Diabetic Screen (SHiDS) project between 2002 and 2018, linked with remotely sensed PM2.5 concentrations, were enrolled in this study. Ordinary least squares and logistic regression were applied to explore associations between PM2.5 and diabetes risk in various exposure periods. RESULTS In year 2002-2013 (before CAA), the diabetes risk increased 7.5 % (95 % CI: 1.018-1.137), 8.0 % (95 % CI: 1.022-1.142) and 7.9 % (95 % CI: 1.021-1.141) under each 10 μg/m3 increase of long-term (1, 2 and 3 years) PM2.5 exposure, respectively. Elevated PM2.5 exposure were also associated with a significant increase in glycemic parameters before CAA implementation. However, in the year 2014-2018 (after CAA), the associations between PM2.5 exposure and diabetes risk were not significant after controlling for potential confounders. CONCLUSION Our findings suggest that long-term and high-level exposure to PM2.5 was associated with increased prevalence of diabetes. Moreover, the implementation of CAA might ameliorate PM2.5-related diabetes risk.
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Affiliation(s)
- Kai Hu
- Department of Sociology, School of Social and Public Administration, East China University of Science and Technology, Meilong Road 130, Xuhui District, Shanghai 200237, China
| | - Baige Cao
- Department of Endocrinology & Metabolism, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai 200434, China
| | - Huijuan Lu
- Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, The Metabolic Disease Biobank, Shanghai, China
| | - Jinfang Xu
- Department of Health Statistics, Naval Medical University, Shanghai 200433, China
| | - Yinan Zhang
- Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, The Metabolic Disease Biobank, Shanghai, China.
| | - Congrong Wang
- Department of Endocrinology & Metabolism, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai 200434, China.
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Liu X, Ma K, Liu S, Song P, Yang L, Liu Z, Zhou J, Wang L, Yan X, Yu Y, Dong Q. Household air pollution and urinary incontinence symptoms among older adults in LASI: a large-scale population-based study. BMC Public Health 2024; 24:1462. [PMID: 38822317 PMCID: PMC11143701 DOI: 10.1186/s12889-024-18834-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2024] [Accepted: 05/13/2024] [Indexed: 06/02/2024] Open
Abstract
BACKGROUND The effects of household air pollution on urinary incontinence (UI) symptoms and stress urinary incontinence (SUI) symptoms have not been studied. This study seeks to investigate the correlation between household air pollution and UI/SUI symptoms among middle-aged and elderly adults in India. METHODS We employed data derived from individuals aged 45 years and older who participated in the inaugural wave (2017-2018) of the Longitudinal Aging Study in India (LASI). The assessment of household air pollution exposure and the occurrence of UI/SUI symptoms relied on self-reported data. The analytical approach adopted was cross-sectional in nature and encompassed a cohort of 64,398 participants. To explore relationships, we utilized multivariate logistic regression analysis, incorporating subgroup analysis and interaction tests. RESULTS 1,671 (2.59%) participants reported UI symptoms and 4,862 (7.55%) participants reported SUI symptoms. Also, the prevalence of UI/SUI symptoms is much higher among middle-aged and elderly adults who use solid polluting fuels (UI: 51.23% vs. 48.77%; SUI: 54.50% vs. 45.50%). The results revealed a noteworthy correlation between household air pollution and the probability of experiencing UI/SUI symptoms, persisting even after adjusting for all conceivable confounding variables (UI: OR = 1.552, 95% CI: 1.377-1.749, p < 0.00001; SUI: OR: 1.459, 95% CI: 1.357-1.568, p < 0.00001). Moreover, significant interaction effects were discerned for age, education level, tobacco consumption, alcohol consumption, and physical activity (p for interaction < 0.05). CONCLUSIONS The results of our study indicate that the utilization of solid fuels in the home increases the likelihood of developing urinary incontinence and stress urinary incontinence. As a result, we argue that there is an immediate need to reform the composition of cooking fuel and raise public awareness about the adverse effects of air pollution in the home.
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Affiliation(s)
- Xiaoyang Liu
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, China
| | - Kai Ma
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, China
| | - Shengzhuo Liu
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, China
| | - Pan Song
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, China
| | - Luchen Yang
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, China
| | - Zhenghuan Liu
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, China
| | - Jing Zhou
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, China
| | - Linchun Wang
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, China
| | - Xin Yan
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, China
| | - Yunfei Yu
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, China
| | - Qiang Dong
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, China.
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Yu Z, Liu H, Liu X, Tao Y, Zhang X, Zhao X, Chang H, Huang J, Zhao Y, Zhang H, Huang C. Dynamic changes in ambient PM 2.5 and body mass index among old adults: a nationwide cohort study. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:115929-115937. [PMID: 37897584 DOI: 10.1007/s11356-023-30620-7] [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: 07/19/2023] [Accepted: 10/18/2023] [Indexed: 10/30/2023]
Abstract
Outdoor air pollution has been considered as a severe environmental health issue that almost affecting everyone in the world, and intensive actions were launched. However, little is known about the association between dynamic changes in ambient fine particulate matter (PM2.5) exposure and body mass index (BMI) among old adults. To investigate the dynamic changes in ambient PM2.5 and body mass index among the elderly, we included a total of 7204 participants from 28 provinces of China during 2011-2015 in the China Health and Retirement Longitudinal Study (CHARLS). Ambient fine particle matter (PM2.5) was estimated using a well-validated space-time extremely randomized trees model. Change in PM2.5 and BMI (ΔPM2.5 and ΔBMI) were calculated as the value at a follow-up visit minus value at baseline. Linear mixed-effects models were applied to quantify the associations, controlling for sociodemographic factors. We found that per 1 μg/m3 increase in PM2.5 exposure was associated with a 0.031-0.044 kg/m2 increase in BMI among the elderly. We observed an approximate linear concentration-response relationship of PM2.5 and BMI in each visit. Each 1 μg/m3 increase in ΔPM2.5 exposure was associated with an increase in ΔBMI (β = 0.040, 95% CI 0.030, 0.049), while per 1 μg/m3 decrease in the ΔPM2.5 exposure level was associated with a decrease in ΔBMI (β = -0.016, 95% CI -0.027, -0.004). Our findings suggest that dynamic changes in ambient PM2.5 was positively associated with changes in BMI among old Chinese population.
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Affiliation(s)
- Zengli Yu
- School of Public Health, Zhengzhou University, 100 Science Avenue, Zhengzhou, 450001, China
| | - Hongyan Liu
- Department of Medical Genetics, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, China
| | - Xiaozhuan Liu
- Department of Medical Genetics, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, China
| | - Yuchang Tao
- Department of Medical Genetics, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, China
| | - Xiaoan Zhang
- The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Xin Zhao
- The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Hui Chang
- The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Jia Huang
- Department of Medical Genetics, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, China
| | - Yuanfang Zhao
- School of Public Health, Zhengzhou University, 100 Science Avenue, Zhengzhou, 450001, China
| | - Huanhuan Zhang
- Department of Medical Genetics, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, China.
- School of Public Health, Zhengzhou University, 100 Science Avenue, Zhengzhou, 450001, China.
| | - Cunrui Huang
- Vanke School of Public Health, Tsinghua University, Beijing, China
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Liu R, Zhou Y, Liu Y, Guo R, Gao L. Association between living environmental quality and risk of arthritis in middle-aged and older adults: a national study in China. Front Public Health 2023; 11:1181625. [PMID: 37397775 PMCID: PMC10313337 DOI: 10.3389/fpubh.2023.1181625] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Accepted: 05/26/2023] [Indexed: 07/04/2023] Open
Abstract
Background The association between combined environmental factors and the risk of arthritis is still scarcely studied. The present study performed cross-sectional and cohort studies to explore the association between risk score of living environment quality and the risk of arthritis in middle-aged and older adults in China. Methods The study was based on China Health and Retirement Longitudinal Study (CHARLS), and it recruited 17,218 participants in the cross-sectional study and 11,242 participants in the seven-year follow-up study. The living environment quality was measured by household fuel types, household water sources, room temperature, residence types, and ambient concentration of PM2.5. Logistic regression and Cox proportional hazard regression models were utilized to examine the association between the living environment quality and the risk of arthritis. Competing risk models and stratified analyses were applied to further verify our results. Results Compared with individuals in the suitable environment group, people who lived in moderate (OR:1.28, 95%CI: 1.14-1.43) and unfavorable environments (OR:1.49, 95%CI:1.31-1.70) showed higher risks of arthritis when considering the multiple living environmental factors (P for trend <0.001) in the cross-sectional analysis. In the follow-up study, similar results (P for trend = 0.021), moderate environment group (HR:1.26, 95%CI:1.01-1.56) and unfavorable environment group (HR: 1.36, 95%CI: 1.07-1.74), were founded. Conclusion Inferior living environment might promote the development of arthritis. It is necessary for the public, especially old people, to improve the living environment, which may be the key to the primary prevention of arthritis.
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Affiliation(s)
- Ri Liu
- Department of Orthopedics, The Second Hospital of Tangshan, Tangshan, Hebei, China
| | - Yuefei Zhou
- Department of Orthopedics, The First Hospital of China Medical University, Shenyang, China
| | - Yang Liu
- Department of Biostatistics and Epidemiology, School of Public Health, China Medical University, Shenyang, China
| | - Run Guo
- Department of General Practice, Beijing Friendship Hospital of Capital Medical University, Beijing, China
| | - Lishu Gao
- Department of Endocrinology, Tangshan People’s Hospital, Tangshan, Hebei, China
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Aarthi GR, Mehreen Begum TS, Moosawi SA, Kusuma D, Ranjani H, Paradeepa R, Padma V, Mohan V, Anjana RM, Fecht D. Associations of the built environment with type 2 diabetes in Asia: a systematic review. BMJ Open 2023; 13:e065431. [PMID: 37015791 PMCID: PMC10083821 DOI: 10.1136/bmjopen-2022-065431] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/06/2023] Open
Abstract
OBJECTIVES Our study aimed to systematically review the literature and synthesise findings on potential associations of built environment characteristics with type 2 diabetes (T2D) in Asia. DESIGN Systematic review of the literature. DATA SOURCES Online databases Medline, Embase and Global Health were used to identify peer-reviewed journal articles published from inception to 23 January 2023. ELIGIBILITY CRITERIA Eligible studies included cohort, cross-sectional and case-control studies that explored associations of built environment characteristics with T2D among adults 18 years and older in Asia. DATA EXTRACTION AND SYNTHESIS Covidence online was used to remove duplicates and perform title, abstract and full-text screening. Data extraction was carried out by two independent reviewers using the OVID database and data were imported into MS Excel. Out of 5208 identified studies, 28 studies were included in this systematic review. Due to heterogeneity in study design, built environment and outcome definitions, a semiqualitative analysis was conducted, which synthesised results using weighted z-scores. RESULTS Five broad categories of built environment characteristics were associated with T2D in Asia. These included urban green space, walkability, food environment, availability and accessibility of services such as recreational and healthcare facilities and air pollution. We found very strong evidence of a positive association of particulate matter (PM2.5, PM10), nitrogen dioxide and sulfur dioxide (p<0.001) with T2D risk. CONCLUSION Several built environment attributes were significantly related to T2D in Asia. When compared with Western countries, very few studies have been conducted in Asia. Further research is, therefore, warranted to establish the importance of the built environment on T2D. Such evidence is essential for public health and planning policies to (re)design neighbourhoods and help improve public health across Asian countries. PROSPERO REGISTRATION NUMBER CRD42020214852.
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Affiliation(s)
- Garudam Raveendiran Aarthi
- Department of Research Operations, Madras Diabetes Research Foundation, Chennai, Tamil Nadu, India
- School of Public Health, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, India
| | - Thaharullah Shah Mehreen Begum
- Department of Research Operations, Madras Diabetes Research Foundation, Chennai, Tamil Nadu, India
- School of Public Health, Imperial College London, London, UK
| | | | - Dian Kusuma
- Centre for Health Economics and Policy Innovations, Imperial College Business School, London, UK
| | - Harish Ranjani
- Department of Translational Research, Madras Diabetes Research Foundation, Chennai, Tamil Nadu, India
| | - Rajendra Paradeepa
- Department of Diabetology, Madras Diabetes Research Foundation, Chennai, Tamil Nadu, India
| | - Venkatasubramanian Padma
- School of Public Health, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, India
| | - Viswanathan Mohan
- Department of Diabetology, Madras Diabetes Research Foundation, Chennai, Tamil Nadu, India
| | - Ranjit Mohan Anjana
- School of Public Health, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, India
- Department of Diabetology, Madras Diabetes Research Foundation, Chennai, Tamil Nadu, India
| | - Daniela Fecht
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
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