Health Risks of Temperature Variability on Hospital Admissions in Cape Town, 2011–2016
Bibliographic Data
| ID | 15470356 |
|---|---|
| Authors | Malebo Sephule Makunyane (0000-0002-3221-6813, South African Weather Service, corresponding author), Hannes Rautenbach (0000-0002-3292-5396, University of Pretoria), Neville Sweijd (0000-0002-6713-0171, Council for Scientific and Industrial Research), Joel Ondego Botai (0000-0002-0695-2489, South African Weather Service), Janine Wichmann (0000-0002-3008-3463, University of Pretoria) |
| Year | 2023 |
| Volume | 20 |
| Issue | 2 |
| Pages | 1159-1159 |
| Publication date | 2023-01-09 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph20021159 |
| PMID | 36673914 |
| OpenAlex | W4313825607 |
| Language | EN |
| Citations received | 2 |
| References cited | 38 |
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
Apparent temperature · Cape · Ecological study · Environmental health · Geography · Meteorology · Names of the days of the week · Poisson regression · Population · Public health · Relative humidity · Air Quality and Health Impacts · Climate Change and Health Impacts · Demography · Global Health Care Issues · Medicine · Epidemiology
High ambient temperature and mortality
Distributed Lag Linear and Non-Linear Models in R
Global Burden of Cardiovascular Diseases and Risk Factors, 1990–2019
Time series regression studies in environmental epidemiology
Mortality risk attributable to high and low ambient temperature
Weather-Related Mortality
Short-Term Joint Effects of PM10, NO2 and SO2 on Cardio-Respiratory Disease Hospital Admissions in Cape Town, South Africa
Lagged Association between Climate Variables and Hospital Admissions for Pneumonia in South Africa
Impact of temperature variability on childhood allergic rhinitis in a subtropical city of China
| Citations per year | 0.67 |
|---|---|
| Citation span | 2023 - 2025 (3) |
| Highly cited | No |