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Health Risks of Temperature Variability on Hospital Admissions in Cape Town, 2011–2016
Epidemiological studies have provided compelling evidence of associations between temperature variability (TV) and health outcomes. However, such studies are limited in developing countries. This study aimed to investigate the relationship between TV and hospital admissions for cause-specific diseas...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9859170/ https://www.ncbi.nlm.nih.gov/pubmed/36673914 http://dx.doi.org/10.3390/ijerph20021159 |
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author | Makunyane, Malebo Sephule Rautenbach, Hannes Sweijd, Neville Botai, Joel Wichmann, Janine |
author_facet | Makunyane, Malebo Sephule Rautenbach, Hannes Sweijd, Neville Botai, Joel Wichmann, Janine |
author_sort | Makunyane, Malebo Sephule |
collection | PubMed |
description | Epidemiological studies have provided compelling evidence of associations between temperature variability (TV) and health outcomes. However, such studies are limited in developing countries. This study aimed to investigate the relationship between TV and hospital admissions for cause-specific diseases in South Africa. Hospital admission data for cardiovascular diseases (CVD) and respiratory diseases (RD) were obtained from seven private hospitals in Cape Town from 1 January 2011 to 31 October 2016. Meteorological data were obtained from the South African Weather Service (SAWS). A quasi-Poisson regression model was used to investigate the association between TV and health outcomes after controlling for potential effect modifiers. A positive and statistically significant association between TV and hospital admissions for both diseases was observed, even after controlling for the non-linear and delayed effects of daily mean temperature and relative humidity. TV showed the greatest effect on the entire study group when using short lags, 0–2 days for CVD and 0–1 days for RD hospitalisations. However, the elderly were more sensitive to RD hospitalisation and the 15–64 year age group was more sensitive to CVD hospitalisations. Men were more susceptible to hospitalisation than females. The results indicate that more attention should be paid to the effects of temperature variability and change on human health. Furthermore, different weather and climate metrics, such as TV, should be considered in understanding the climate component of the epidemiology of these (and other diseases), especially in light of climate change, where a wider range and extreme climate events are expected to occur in future. |
format | Online Article Text |
id | pubmed-9859170 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-98591702023-01-21 Health Risks of Temperature Variability on Hospital Admissions in Cape Town, 2011–2016 Makunyane, Malebo Sephule Rautenbach, Hannes Sweijd, Neville Botai, Joel Wichmann, Janine Int J Environ Res Public Health Article Epidemiological studies have provided compelling evidence of associations between temperature variability (TV) and health outcomes. However, such studies are limited in developing countries. This study aimed to investigate the relationship between TV and hospital admissions for cause-specific diseases in South Africa. Hospital admission data for cardiovascular diseases (CVD) and respiratory diseases (RD) were obtained from seven private hospitals in Cape Town from 1 January 2011 to 31 October 2016. Meteorological data were obtained from the South African Weather Service (SAWS). A quasi-Poisson regression model was used to investigate the association between TV and health outcomes after controlling for potential effect modifiers. A positive and statistically significant association between TV and hospital admissions for both diseases was observed, even after controlling for the non-linear and delayed effects of daily mean temperature and relative humidity. TV showed the greatest effect on the entire study group when using short lags, 0–2 days for CVD and 0–1 days for RD hospitalisations. However, the elderly were more sensitive to RD hospitalisation and the 15–64 year age group was more sensitive to CVD hospitalisations. Men were more susceptible to hospitalisation than females. The results indicate that more attention should be paid to the effects of temperature variability and change on human health. Furthermore, different weather and climate metrics, such as TV, should be considered in understanding the climate component of the epidemiology of these (and other diseases), especially in light of climate change, where a wider range and extreme climate events are expected to occur in future. MDPI 2023-01-09 /pmc/articles/PMC9859170/ /pubmed/36673914 http://dx.doi.org/10.3390/ijerph20021159 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Makunyane, Malebo Sephule Rautenbach, Hannes Sweijd, Neville Botai, Joel Wichmann, Janine Health Risks of Temperature Variability on Hospital Admissions in Cape Town, 2011–2016 |
title | Health Risks of Temperature Variability on Hospital Admissions in Cape Town, 2011–2016 |
title_full | Health Risks of Temperature Variability on Hospital Admissions in Cape Town, 2011–2016 |
title_fullStr | Health Risks of Temperature Variability on Hospital Admissions in Cape Town, 2011–2016 |
title_full_unstemmed | Health Risks of Temperature Variability on Hospital Admissions in Cape Town, 2011–2016 |
title_short | Health Risks of Temperature Variability on Hospital Admissions in Cape Town, 2011–2016 |
title_sort | health risks of temperature variability on hospital admissions in cape town, 2011–2016 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9859170/ https://www.ncbi.nlm.nih.gov/pubmed/36673914 http://dx.doi.org/10.3390/ijerph20021159 |
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