Evidence map›Paper›PMID 41232217›Full record

ArticleEnvironment international2025

Ambient temperature and non-accidental mortality: A nationwide space-time-stratified case-crossover study within the 100 million Brazilian Cohort.

Taísa R Cortes, Julia M Pescarini, Otavio T Ranzani, Enny S Paixão, Danielson J D Neves, Poliana Rebouças, Rita de Cássia Ribeiro-Silva, Andrêa J F Ferreira, Luiz A C Galvão, Elizabeth B Brickley and 4 more

Abstract read
In one paragraph

Article in Environment international, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Taísa R CortesCenter of Data and Knowledge Integration for Health (CIDACS), Oswaldo Cruz Foundation, Rua Mundo, 121, 41745-715 Salvador, Brazil.
Julia M PescariniCenter of Data and Knowledge Integration for Health (CIDACS), Oswaldo Cruz Foundation, Rua Mundo, 121, 41745-715 Salvador, Brazil; Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, Keppel St, WC1E 7HT London, United Kingdom.
Otavio T RanzaniDataHealth Lab, Institut de Recerca Sant Pau (IR SANT PAU), Carrer de Sant Quintí, 77-79, 08041 Barcelona, Spain; ISGlobal, Carrer del Doctor Aiguader, 88, 08003 Barcelona, Spain. Electronic address: oranzani@santpau.cat.
Enny S PaixãoCenter of Data and Knowledge Integration for Health (CIDACS), Oswaldo Cruz Foundation, Rua Mundo, 121, 41745-715 Salvador, Brazil; Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, Keppel St, WC1E 7HT London, United Kingdom.
Danielson J D NevesCenter of Data and Knowledge Integration for Health (CIDACS), Oswaldo Cruz Foundation, Rua Mundo, 121, 41745-715 Salvador, Brazil.
Poliana RebouçasCenter of Data and Knowledge Integration for Health (CIDACS), Oswaldo Cruz Foundation, Rua Mundo, 121, 41745-715 Salvador, Brazil.
Rita de Cássia Ribeiro-SilvaCenter of Data and Knowledge Integration for Health (CIDACS), Oswaldo Cruz Foundation, Rua Mundo, 121, 41745-715 Salvador, Brazil; School of Nutrition, Federal University of Bahia (UFBA), R. Basílio da Gama, sn, 40110-907 Salvador, Brazil.
Andrêa J F FerreiraCenter of Data and Knowledge Integration for Health (CIDACS), Oswaldo Cruz Foundation, Rua Mundo, 121, 41745-715 Salvador, Brazil.
Luiz A C GalvãoInternational Relations and Global Health Center, Fiocruz, Av. Brasil, 4365, 21040-900 Rio de Janeiro, Brazil.
Elizabeth B BrickleyFaculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, Keppel St, WC1E 7HT London, United Kingdom.
Liam SmeethFaculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, Keppel St, WC1E 7HT London, United Kingdom.
Ludmilla V JacobsonInstitute of Mathematics and Statistics, Fluminense Federal University, Rua Professor Marcos Waldemar de Freitas, s/n, 24210-201 Niteroi, Brazil.
Ismael H SilveiraInstitute of Collective Health, Federal University of Bahia (ISC/UFBA), R. Basílio da Gama, sn, 40110-907 Salvador, Brazil.
Mauricio L BarretoCenter of Data and Knowledge Integration for Health (CIDACS), Oswaldo Cruz Foundation, Rua Mundo, 121, 41745-715 Salvador, Brazil; Institute of Collective Health, Federal University of Bahia (ISC/UFBA), R. Basílio da Gama, sn, 40110-907 Salvador, Brazil.

Funding

Wellcome Trust 225925Wellcome Trust 305644
6 · The paper itself

Abstract

Research on ambient temperature effects on mortality leveraging cohort data remains scarce. This study estimates the association between ambient temperature and non-accidental mortality and investigates potential effect modification of the temperature-mortality relationship by a wide range of individual and household-level characteristics in a nationwide cohort. We designed a space-time-stratified case-crossover study within the 100 Million Brazilian Cohort, comprising low-income families enrolled in Brazil's Unified Registry for Social Programs (CadÚnico), including all deaths from 2000 to 2018. Daily mean temperatures were obtained from Brazilian Daily Weather Gridded Data based on 1,252 meteorological stations. The outcome was defined as daily counts of non-accidental deaths aggregated at the municipality level. The effect of ambient temperature on non-accidental mortality was estimated using conditional quasi-Poisson regression combined with distributed lag non-linear models. The study population included 3,554,422 deaths. Cold temperatures were associated with a 38 % increase in non-accidental mortality risk (RR = 1.38, 95 % CI: 1.34-1.43) nationally, with high regional variability. In contrast, heat was associated with a 4 % increase in mortality risk nationally, primarily driven by increased risk in the Southeast and Central-West regions. Across population subgroups, cold-related mortality risk was higher among older (≥60 years) adults (RR = 1.47, 95 % CI: 1.42-1.53) and Black individuals (RR = 1.56, 95 % CI: 1.49-1.64). Higher vulnerability to heat-related mortality was found among urban residents (RR = 1.07, 95 % CI: 1.05-1.10). However, we found no consistent evidence of effect modification of cold- and heat-related mortality by sex, income or access to key utilities (water, waste, and electricity). Our findings indicate significant regional differences, highlighting population strata particularly vulnerable to temperature-related mortality. This evidence informs the targeting of interventions for protecting vulnerable populations from extreme temperatures.

Indexed as

Cold TemperatureEnvironmental ExposureHot TemperatureMortalityAdolescentAdultAgedBrazilChildChild, PreschoolCohort StudiesCross-Over StudiesFemaleHumansInfantInfant, NewbornAmbient temperatureBrazilCase-crossover studyMortalityVulnerability

Identifiers

PMID41232217
PMCPMC7618503

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.