Temperature variability and common diseases of the elderly in China: a national cross-sectional study

Environmental Health

Research

Junqing Xie¹  Xiaolan Wu²  Yao Wu³  Jiahui Xue⁴  Jun Ma⁵  Yanhui Dong⁵  Yi Song⁵  Li Chen⁵  Bo Wen⁶  Bin Bin Su⁷  Xiaoying Zheng⁷  Mengfan Wang⁸ 

[1] Centre for Statistics in Medicine and NIHR Biomedical Research Centre Oxford, NDORMS, University of Oxford, Oxford, UK;China Research Center on Ageing, 48 Guang ‘anmen South Street, Xicheng District, 100054, Beijing, China;Climate, Air Quality Research (CARE) Unit, School of Public Health and Preventive Medicine, Monash University, Level 2, 553 St Kilda Road, 3004, Melbourne, VIC, Australia;First Clinical Medical College of Shanxi Medical University, No. 56 Xinjian South Road, Yingze District, 030001, Taiyuan City, Shanxi Province, China;Institute of Child and Adolescent Health, School of Public Health, Peking University Health Science Center, No 38 Xue Yuan Road, Haidian District, 100191, Beijing, China;Institute of Child and Adolescent Health, School of Public Health, Peking University Health Science Center, No 38 Xue Yuan Road, Haidian District, 100191, Beijing, China;Climate, Air Quality Research (CARE) Unit, School of Public Health and Preventive Medicine, Monash University, Level 2, 553 St Kilda Road, 3004, Melbourne, VIC, Australia;School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, No.31, Beijige-3, Dongcheng District, 100730, Beijing, China;University of Toronto, St.Geogre, 27 King’s College Cir, M5S, Toronto, ON, Canada;

关键词: Temperature variability;    Elderly;    Diseases;    Cardio-cerebrovascular;   

DOI  :  10.1186/s12940-023-00959-y

 received in 2022-02-14, accepted in 2023-01-02,  发布年份 2023

来源: Springer

【 摘 要 】

BackgroundIn the context of climate change, it has been well observed that short-term temperature variability (TV) could increase the overall and cause-specific mortality and morbidity. However, the association between long-term TV and a broader spectrum of diseases is not yet well understood, especially in the elderly.MethodsOur study used data from the fourth Urban and Rural Elderly Population (UREP) study. Long-term TV was calculated from the standard deviation (SD) of daily minimum and maximum temperatures within the study periods (2010–2014, 2011–2014, 2012–2014, 2013–2014, and 2014). Ten self-reported diseases and conditions were collected by questionnaire, including cataract, hypertension, diabetes, cardio-cerebrovascular diseases, stomach diseases, arthritis, chronic lung disease, asthma, cancer, and reproductive diseases. The province-stratified logistic regression model was used to quantify the association between long-term TV and the prevalence of each disease.ResultsA total of 184,047 participants were included in our study. In general, there were significant associations between TV and the prevalence of most diseases at the national level. Cardio-cerebrovascular disease (OR: 1.16, 95% CI: 1.13, 1.20) generated the highest estimates, followed by stomach diseases (OR: 1.15, 95% CI: 1.10, 1.19), asthma (OR: 1.14, 95% CI: 1.06, 1.22), chronic lung diseases (OR: 1.08, 95% CI: 1.03, 1.13), arthritis (OR: 1.08, 95% CI: 1.05, 1.11), and cataract (OR: 1.06, 95% CI: 1.02, 1.10). Moreover, the associations varied by geographical regions and across subgroups stratified by sex, household income, physical activity, and education.ConclusionsOur study showed that long-term exposure to TV was associated with the prevalence of main diseases in the elderly. More attention should be paid to the elderly and targeted strategies should be implemented, such as an early warning system.

【 授权许可】

CC BY   
© The Author(s) 2023

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