Association between Ambient Temperature and Hospitalization for Renal Diseases in Brazil during 2000–2015: A Nationwide Case-Crossover Study

Summary: Background: Climate change is increasing the risks of injuries, diseases, and deaths globally. However, the association between ambient temperature and renal diseases has not been fully characterized. This study aimed to quantify the risk and attributable burden for hospitalizations of ren...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Bo Wen, Rongbin Xu, Yao Wu, Micheline de Sousa Zanotti Stagliorio Coêlho, Paulo Hilario Nascimento Saldiva, Yuming Guo, Shanshan Li
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2022
Materias:	Temperature hospitalization renal disease case-crossover study climate change Public aspects of medicine RA1-1270
Acceso en línea:	https://doaj.org/article/f9ad05bd9966479b8976336e5019c152
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:f9ad05bd9966479b8976336e5019c152
record_format	dspace
spelling	oai:doaj.org-article:f9ad05bd9966479b8976336e5019c1522021-12-04T04:36:43ZAssociation between Ambient Temperature and Hospitalization for Renal Diseases in Brazil during 2000–2015: A Nationwide Case-Crossover Study2667-193X10.1016/j.lana.2021.100101https://doaj.org/article/f9ad05bd9966479b8976336e5019c1522022-02-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2667193X21000971https://doaj.org/toc/2667-193XSummary: Background: Climate change is increasing the risks of injuries, diseases, and deaths globally. However, the association between ambient temperature and renal diseases has not been fully characterized. This study aimed to quantify the risk and attributable burden for hospitalizations of renal diseases related to ambient temperature. Methods: Daily hospital admission data from 1816 cities in Brazil were collected during 2000 and 2015. A time-stratified case-crossover design was applied to evaluate the association between temperature and renal diseases. Relative risks (RRs), attributable fractions (AFs), and their confidence intervals (CIs) were calculated to estimate the associations and attributable burden. Findings: A total of 2,726,886 hospitalizations for renal diseases were recorded during the study period. For every 1°C increase in daily mean temperature, the estimated risk of hospitalization for renal diseases over lag 0–7 days increased by 0·9% (RR = 1·009, 95% CI: 1·008–1·010) at the national level. The associations between temperature and renal diseases were largest at lag 0 days but remained for lag 1–2 days. The risk was more prominent in females, children aged 0–4 years, and the elderly ≥ 80 years. 7·4% (95% CI: 5·2–9·6%) of hospitalizations for renal diseases could be attributable to the increase of temperature, equating to 202,093 (95% CI: 141,554–260,594) cases. Interpretation: This nationwide study provides robust evidence that more policies should be developed to prevent heat-related hospitalizations and mitigate climate change. Funding: China Scholarship Council, and the Australian National Health and Medical Research CouncilBo WenRongbin XuYao WuMicheline de Sousa Zanotti Stagliorio CoêlhoPaulo Hilario Nascimento SaldivaYuming GuoShanshan LiElsevierarticleTemperaturehospitalizationrenal diseasecase-crossover studyclimate changePublic aspects of medicineRA1-1270ENThe Lancet Regional Health. Americas, Vol 6, Iss , Pp 100101- (2022)
institution	DOAJ
collection	DOAJ
language	EN
topic	Temperature hospitalization renal disease case-crossover study climate change Public aspects of medicine RA1-1270
spellingShingle	Temperature hospitalization renal disease case-crossover study climate change Public aspects of medicine RA1-1270 Bo Wen Rongbin Xu Yao Wu Micheline de Sousa Zanotti Stagliorio Coêlho Paulo Hilario Nascimento Saldiva Yuming Guo Shanshan Li Association between Ambient Temperature and Hospitalization for Renal Diseases in Brazil during 2000–2015: A Nationwide Case-Crossover Study
description	Summary: Background: Climate change is increasing the risks of injuries, diseases, and deaths globally. However, the association between ambient temperature and renal diseases has not been fully characterized. This study aimed to quantify the risk and attributable burden for hospitalizations of renal diseases related to ambient temperature. Methods: Daily hospital admission data from 1816 cities in Brazil were collected during 2000 and 2015. A time-stratified case-crossover design was applied to evaluate the association between temperature and renal diseases. Relative risks (RRs), attributable fractions (AFs), and their confidence intervals (CIs) were calculated to estimate the associations and attributable burden. Findings: A total of 2,726,886 hospitalizations for renal diseases were recorded during the study period. For every 1°C increase in daily mean temperature, the estimated risk of hospitalization for renal diseases over lag 0–7 days increased by 0·9% (RR = 1·009, 95% CI: 1·008–1·010) at the national level. The associations between temperature and renal diseases were largest at lag 0 days but remained for lag 1–2 days. The risk was more prominent in females, children aged 0–4 years, and the elderly ≥ 80 years. 7·4% (95% CI: 5·2–9·6%) of hospitalizations for renal diseases could be attributable to the increase of temperature, equating to 202,093 (95% CI: 141,554–260,594) cases. Interpretation: This nationwide study provides robust evidence that more policies should be developed to prevent heat-related hospitalizations and mitigate climate change. Funding: China Scholarship Council, and the Australian National Health and Medical Research Council
format	article
author	Bo Wen Rongbin Xu Yao Wu Micheline de Sousa Zanotti Stagliorio Coêlho Paulo Hilario Nascimento Saldiva Yuming Guo Shanshan Li
author_facet	Bo Wen Rongbin Xu Yao Wu Micheline de Sousa Zanotti Stagliorio Coêlho Paulo Hilario Nascimento Saldiva Yuming Guo Shanshan Li
author_sort	Bo Wen
title	Association between Ambient Temperature and Hospitalization for Renal Diseases in Brazil during 2000–2015: A Nationwide Case-Crossover Study
title_short	Association between Ambient Temperature and Hospitalization for Renal Diseases in Brazil during 2000–2015: A Nationwide Case-Crossover Study
title_full	Association between Ambient Temperature and Hospitalization for Renal Diseases in Brazil during 2000–2015: A Nationwide Case-Crossover Study
title_fullStr	Association between Ambient Temperature and Hospitalization for Renal Diseases in Brazil during 2000–2015: A Nationwide Case-Crossover Study
title_full_unstemmed	Association between Ambient Temperature and Hospitalization for Renal Diseases in Brazil during 2000–2015: A Nationwide Case-Crossover Study
title_sort	association between ambient temperature and hospitalization for renal diseases in brazil during 2000–2015: a nationwide case-crossover study
publisher	Elsevier
publishDate	2022
url	https://doaj.org/article/f9ad05bd9966479b8976336e5019c152
work_keys_str_mv	AT bowen associationbetweenambienttemperatureandhospitalizationforrenaldiseasesinbrazilduring20002015anationwidecasecrossoverstudy AT rongbinxu associationbetweenambienttemperatureandhospitalizationforrenaldiseasesinbrazilduring20002015anationwidecasecrossoverstudy AT yaowu associationbetweenambienttemperatureandhospitalizationforrenaldiseasesinbrazilduring20002015anationwidecasecrossoverstudy AT michelinedesousazanottistaglioriocoelho associationbetweenambienttemperatureandhospitalizationforrenaldiseasesinbrazilduring20002015anationwidecasecrossoverstudy AT paulohilarionascimentosaldiva associationbetweenambienttemperatureandhospitalizationforrenaldiseasesinbrazilduring20002015anationwidecasecrossoverstudy AT yumingguo associationbetweenambienttemperatureandhospitalizationforrenaldiseasesinbrazilduring20002015anationwidecasecrossoverstudy AT shanshanli associationbetweenambienttemperatureandhospitalizationforrenaldiseasesinbrazilduring20002015anationwidecasecrossoverstudy
_version_	1718372888732499968

Association between Ambient Temperature and Hospitalization for Renal Diseases in Brazil during 2000–2015: A Nationwide Case-Crossover Study

Ejemplares similares