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Effects of extreme precipitation on hospital visit risk and disease burden of depression in Suzhou, China
BACKGROUND: The purpose of this study was to explore the impact of extreme precipitation on the risk of outpatient visits for depression and to further explore its associated disease burden and vulnerable population. METHODS: A quasi-Poisson generalized linear regression model combined with distribu...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9463798/ https://www.ncbi.nlm.nih.gov/pubmed/36085022 http://dx.doi.org/10.1186/s12889-022-14085-w |
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author | Jiang, Gang Ji, Yanhu Chen, Changhao Wang, Xiaosong Ye, Tiantian Ling, Yuhuan Wang, Heng |
author_facet | Jiang, Gang Ji, Yanhu Chen, Changhao Wang, Xiaosong Ye, Tiantian Ling, Yuhuan Wang, Heng |
author_sort | Jiang, Gang |
collection | PubMed |
description | BACKGROUND: The purpose of this study was to explore the impact of extreme precipitation on the risk of outpatient visits for depression and to further explore its associated disease burden and vulnerable population. METHODS: A quasi-Poisson generalized linear regression model combined with distributed lag non-linear model (DLNM) was used to investigate the exposure-lag-response relationship between extreme precipitation (≥95th percentile) and depression outpatient visits from 2017 to 2019 in Suzhou city, Anhui Province, China. RESULTS: Extreme precipitation was positively associated with the outpatient visits for depression. The effects of extreme precipitation on depression firstly appeared at lag4 [relative risk (RR): 1.047, 95% confidence interval (CI): 1.005–1.091] and lasted until lag7 (RR = 1.047, 95% CI: 1.009–1.087). Females, patients aged ≥65 years and patients with multiple outpatient visits appeared to be more sensitive to extreme precipitation. The attributable fraction (AF) and numbers (AN) of extreme precipitation on outpatient visits for depression were 5.00% (95% CI: 1.02–8.82%) and 1318.25, respectively. CONCLUSIONS: Our findings suggested that extreme precipitation may increase the risk of outpatient visits for depression. Further studies on the burden of depression found that females, aged ≥65 years, and patients with multiple visits were priority targets for future warnings. Active intervention measures against extreme precipitation events should be taken to reduce the risk of depression outpatient visits. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-14085-w. |
format | Online Article Text |
id | pubmed-9463798 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-94637982022-09-11 Effects of extreme precipitation on hospital visit risk and disease burden of depression in Suzhou, China Jiang, Gang Ji, Yanhu Chen, Changhao Wang, Xiaosong Ye, Tiantian Ling, Yuhuan Wang, Heng BMC Public Health Research BACKGROUND: The purpose of this study was to explore the impact of extreme precipitation on the risk of outpatient visits for depression and to further explore its associated disease burden and vulnerable population. METHODS: A quasi-Poisson generalized linear regression model combined with distributed lag non-linear model (DLNM) was used to investigate the exposure-lag-response relationship between extreme precipitation (≥95th percentile) and depression outpatient visits from 2017 to 2019 in Suzhou city, Anhui Province, China. RESULTS: Extreme precipitation was positively associated with the outpatient visits for depression. The effects of extreme precipitation on depression firstly appeared at lag4 [relative risk (RR): 1.047, 95% confidence interval (CI): 1.005–1.091] and lasted until lag7 (RR = 1.047, 95% CI: 1.009–1.087). Females, patients aged ≥65 years and patients with multiple outpatient visits appeared to be more sensitive to extreme precipitation. The attributable fraction (AF) and numbers (AN) of extreme precipitation on outpatient visits for depression were 5.00% (95% CI: 1.02–8.82%) and 1318.25, respectively. CONCLUSIONS: Our findings suggested that extreme precipitation may increase the risk of outpatient visits for depression. Further studies on the burden of depression found that females, aged ≥65 years, and patients with multiple visits were priority targets for future warnings. Active intervention measures against extreme precipitation events should be taken to reduce the risk of depression outpatient visits. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-14085-w. BioMed Central 2022-09-09 /pmc/articles/PMC9463798/ /pubmed/36085022 http://dx.doi.org/10.1186/s12889-022-14085-w Text en © The Author(s) 2022 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 Jiang, Gang Ji, Yanhu Chen, Changhao Wang, Xiaosong Ye, Tiantian Ling, Yuhuan Wang, Heng Effects of extreme precipitation on hospital visit risk and disease burden of depression in Suzhou, China |
title | Effects of extreme precipitation on hospital visit risk and disease burden of depression in Suzhou, China |
title_full | Effects of extreme precipitation on hospital visit risk and disease burden of depression in Suzhou, China |
title_fullStr | Effects of extreme precipitation on hospital visit risk and disease burden of depression in Suzhou, China |
title_full_unstemmed | Effects of extreme precipitation on hospital visit risk and disease burden of depression in Suzhou, China |
title_short | Effects of extreme precipitation on hospital visit risk and disease burden of depression in Suzhou, China |
title_sort | effects of extreme precipitation on hospital visit risk and disease burden of depression in suzhou, china |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9463798/ https://www.ncbi.nlm.nih.gov/pubmed/36085022 http://dx.doi.org/10.1186/s12889-022-14085-w |
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