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Temperature variability and common diseases of the elderly in China: a national cross-sectional study
BACKGROUND: In 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, esp...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9824998/ https://www.ncbi.nlm.nih.gov/pubmed/36609287 http://dx.doi.org/10.1186/s12940-023-00959-y |
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author | Wen, Bo Su, Bin Bin Xue, Jiahui Xie, Junqing Wu, Yao Chen, Li Dong, Yanhui Wu, Xiaolan Wang, Mengfan Song, Yi Ma, Jun Zheng, Xiaoying |
author_facet | Wen, Bo Su, Bin Bin Xue, Jiahui Xie, Junqing Wu, Yao Chen, Li Dong, Yanhui Wu, Xiaolan Wang, Mengfan Song, Yi Ma, Jun Zheng, Xiaoying |
author_sort | Wen, Bo |
collection | PubMed |
description | BACKGROUND: In 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. METHODS: Our 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. RESULTS: A 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. CONCLUSIONS: Our 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12940-023-00959-y. |
format | Online Article Text |
id | pubmed-9824998 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-98249982023-01-08 Temperature variability and common diseases of the elderly in China: a national cross-sectional study Wen, Bo Su, Bin Bin Xue, Jiahui Xie, Junqing Wu, Yao Chen, Li Dong, Yanhui Wu, Xiaolan Wang, Mengfan Song, Yi Ma, Jun Zheng, Xiaoying Environ Health Research BACKGROUND: In 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. METHODS: Our 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. RESULTS: A 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. CONCLUSIONS: Our 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12940-023-00959-y. BioMed Central 2023-01-07 /pmc/articles/PMC9824998/ /pubmed/36609287 http://dx.doi.org/10.1186/s12940-023-00959-y Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Wen, Bo Su, Bin Bin Xue, Jiahui Xie, Junqing Wu, Yao Chen, Li Dong, Yanhui Wu, Xiaolan Wang, Mengfan Song, Yi Ma, Jun Zheng, Xiaoying Temperature variability and common diseases of the elderly in China: a national cross-sectional study |
title | Temperature variability and common diseases of the elderly in China: a national cross-sectional study |
title_full | Temperature variability and common diseases of the elderly in China: a national cross-sectional study |
title_fullStr | Temperature variability and common diseases of the elderly in China: a national cross-sectional study |
title_full_unstemmed | Temperature variability and common diseases of the elderly in China: a national cross-sectional study |
title_short | Temperature variability and common diseases of the elderly in China: a national cross-sectional study |
title_sort | temperature variability and common diseases of the elderly in china: a national cross-sectional study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9824998/ https://www.ncbi.nlm.nih.gov/pubmed/36609287 http://dx.doi.org/10.1186/s12940-023-00959-y |
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