Examination of the association between temperature variability and cardiovascular and respiratory mortality in South Africa, 2006-2016.

Frontiers in epidemiology Pub Date : 2025-06-03 eCollection Date: 2025-01-01 DOI:10.3389/fepid.2025.1553553
Malebo Sephule Makunyane, Hannes Rautenbach, Janine Wichmann
{"title":"Examination of the association between temperature variability and cardiovascular and respiratory mortality in South Africa, 2006-2016.","authors":"Malebo Sephule Makunyane, Hannes Rautenbach, Janine Wichmann","doi":"10.3389/fepid.2025.1553553","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Evidence is limited on the impact of temperature variability (TV) on health in low-and-middle-income countries (LMICs), such as South Africa. This study examined the association between TV and cardiovascular disease (CVD) and respiratory disease (RD) mortality in five South African cities.</p><p><strong>Methods: </strong>Daily mortality and meteorological data in five South African cities (Bloemfontein, Cape Town, Durban, Johannesburg, and Gqeberha) were collected from Statistics South Africa and the South African Weather Service for the period 2006-2016. TV was calculated as the standard deviation of the daily minimum and maximum temperatures over the exposure period. City-specific risks were estimated using quasi-Poisson regression models combined with distributed lag nonlinear models, adjusting for potential confounders. A meta-analysis was then conducted to pool the overall estimates across cities. Additionally, stratified analyses by age group and sex were performed to assess effect modification.</p><p><strong>Results: </strong>A total of 213,875 cardiovascular and 114,887 respiratory deaths were recorded in the five cities during the study period. The risks with increasing TV were higher for RD mortality as compared to CVD mortality. The pooled estimates showed the highest and significant increase in RD mortality of 1.21(95% CI: 1.04;1.38) per an increase in TV at 0-2 days from the 25th to the 50th percentile for all ages combined. The elderly appeared more vulnerable to RD mortality than <65 years age group, with significant mortality risks per increase in TV at 0-2 days (RR = 1.18, 95% CI: 1.04; 1.32),0-3 days (RR = 1.16, 95% CI: 1.04; 1.28) and at 0-7 days (RR = 1.12, 95% CI: 1.02; 1.22) from the 50th to the 75th percentile. A stratified analysis showed the elderly and women as more vulnerable. The pooled results across the five cities suggested no statistically significant TV effect on CVD mortality.</p><p><strong>Conclusion: </strong>This study found a short-term association between temperature variability and respiratory mortality, especially among elderly individuals and women, in five South African cities. No significant effect was observed for cardiovascular mortality. The findings support targeted public health strategies that account for temperature-related risks in vulnerable populations.</p>","PeriodicalId":73083,"journal":{"name":"Frontiers in epidemiology","volume":"5 ","pages":"1553553"},"PeriodicalIF":0.0000,"publicationDate":"2025-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12172194/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in epidemiology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3389/fepid.2025.1553553","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Background: Evidence is limited on the impact of temperature variability (TV) on health in low-and-middle-income countries (LMICs), such as South Africa. This study examined the association between TV and cardiovascular disease (CVD) and respiratory disease (RD) mortality in five South African cities.

Methods: Daily mortality and meteorological data in five South African cities (Bloemfontein, Cape Town, Durban, Johannesburg, and Gqeberha) were collected from Statistics South Africa and the South African Weather Service for the period 2006-2016. TV was calculated as the standard deviation of the daily minimum and maximum temperatures over the exposure period. City-specific risks were estimated using quasi-Poisson regression models combined with distributed lag nonlinear models, adjusting for potential confounders. A meta-analysis was then conducted to pool the overall estimates across cities. Additionally, stratified analyses by age group and sex were performed to assess effect modification.

Results: A total of 213,875 cardiovascular and 114,887 respiratory deaths were recorded in the five cities during the study period. The risks with increasing TV were higher for RD mortality as compared to CVD mortality. The pooled estimates showed the highest and significant increase in RD mortality of 1.21(95% CI: 1.04;1.38) per an increase in TV at 0-2 days from the 25th to the 50th percentile for all ages combined. The elderly appeared more vulnerable to RD mortality than <65 years age group, with significant mortality risks per increase in TV at 0-2 days (RR = 1.18, 95% CI: 1.04; 1.32),0-3 days (RR = 1.16, 95% CI: 1.04; 1.28) and at 0-7 days (RR = 1.12, 95% CI: 1.02; 1.22) from the 50th to the 75th percentile. A stratified analysis showed the elderly and women as more vulnerable. The pooled results across the five cities suggested no statistically significant TV effect on CVD mortality.

Conclusion: This study found a short-term association between temperature variability and respiratory mortality, especially among elderly individuals and women, in five South African cities. No significant effect was observed for cardiovascular mortality. The findings support targeted public health strategies that account for temperature-related risks in vulnerable populations.

2006-2016年南非温度变化与心血管和呼吸系统死亡率之间关系的研究
背景:在南非等中低收入国家,关于温度变率(TV)对健康影响的证据有限。这项研究调查了南非五个城市中电视与心血管疾病(CVD)和呼吸系统疾病(RD)死亡率之间的关系。方法:从南非统计局和南非气象局收集了2006-2016年期间南非五个城市(布隆方丹、开普敦、德班、约翰内斯堡和盖伯哈)的每日死亡率和气象数据。TV被计算为暴露期间每日最低和最高温度的标准偏差。使用准泊松回归模型结合分布滞后非线性模型估计城市特定风险,调整潜在混杂因素。然后进行了一项荟萃分析,汇总了各个城市的总体估计。此外,按年龄组和性别进行分层分析,以评估效果的改变。结果:在研究期间,五个城市共记录了213,875例心血管死亡和114,887例呼吸系统死亡。与心血管疾病死亡率相比,随着电视时间的增加,RD死亡率的风险更高。综合估计显示,在所有年龄段中,从第25个百分位数到第50个百分位数,每增加0-2天的电视时间,RD死亡率最高且显著增加1.21(95% CI: 1.04;1.38)。结论:本研究发现,在南非的五个城市中,温度变化与呼吸系统死亡率之间存在短期关联,尤其是在老年人和妇女中。未观察到对心血管死亡率有显著影响。这些发现支持有针对性的公共卫生战略,这些战略考虑了脆弱人群中与温度相关的风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信