Effect modifiers of the temperature-mortality association for general and older adults population of Brazil's metropolitan areas
Bibliographic Data
| ID | 5167448 |
|---|---|
| Authors | Cristiane Aschidamini (0000-0003-4110-5282, Universidade do Estado do Amazonas), Antonio C M Ponce De Leon (0000-0002-0704-5215, Universidade do Estado do Rio de Janeiro) |
| Year | 2025 |
| Volume | 41 |
| Issue | 2 |
| Pages | e00042524-e00042524 |
| Publication date | 2025-01-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Cadernos de Saude Publica (JOURNAL) |
| Journal identifiers | ISSN: 0102-311X • E-ISSN: 1678-4464 |
| Publisher | FapUNIFESP (SciELO) (PUBLISHER) |
| DOI | 10.1590/0102-311xen042524 |
| PMID | 40008761 |
| OpenAlex | W4407906330 |
| Language | EN |
| References cited | 44 |
Ambient temperature effect on mortality varies between places and populations, suggesting the existence of effect modifiers for this association. This study analyzes the influence of geographic, urban, and socioeconomic factors on the ambient temperature effect on non-accidental mortality in the general and older adults population of Brazilian metropolitan areas, and on that associated with circulatory, respiratory, and other mortality in older adults. Effects of this association were estimated for each group in 42 locations using a generalized additive model combined with the nonlinear distributed lag model. A meta-analysis was then performed to estimate the effects at the national and regional levels. Meta-regression determined the influence of effect modifiers. Estimated relative risks of the temperature-mortality association varied between locations in the Brazilian territory. Heat effects on non-accidental mortality at the national level were 1.09 (95%CI: 1.04-1.15) and 1.13 (95%CI: 1.07-1.20) for the General and Older Adult groups, respectively. Cold effects were 1.26 (95%CI: 1.21-1.32) and 1.30 (95%CI: 1.24-1.36) for the General and Older Adult groups, respectively. We observed a greater effect of cold than heat in both groups. For all causes of death, effects of heat and cold were greater in the Southeast and South Brazil. Amplitude of the mean temperature was the factor that best explained the heterogeneity between locations, followed by latitude, income and schooling. Hence, implementing adaptive measures to reduce the ambient temperature effects on mortality depends on the profile of each location
Confidence interval · Distributed lag · Effect modification · Geography · Latitude · Metropolitan area · Population · Relative risk · Socioeconomic status · Statistics · Air Quality and Health Impacts · Climate Change and Health Impacts · Demography · Global Health Care Issues · Internal Medicine · Mathematics · Medicine
Temperature, temperature extremes, and mortality
Distributed lag non‐linear models
Time series regression studies in environmental epidemiology
Effects of Air Temperature on Climate-Sensitive Mortality and Morbidity Outcomes in the Elderly; a Systematic Review and Meta-analysis of Epidemiological Evidence
Association between ambient temperature and mortality risk and burden
Mortality risk attributable to high and low ambient temperature
Weather-Related Mortality
Reducing and meta-analysing estimates from distributed lag non-linear models
Impacts of heat stress conditions on mortality from respiratory and cardiovascular diseases in Brazil
Effects of Extreme Temperatures on Cause-Specific Cardiovascular Mortality in China
Regional Temperature-Sensitive Diseases and Attributable Fractions in China
The influence of temperature on mortality and its Lag effect
| Citation velocity | historical |
|---|---|
| Highly cited | No |