Evidence map›Paper›PMID 33195965›Full record

ArticleEnvironmental epidemiology (Philadelphia, Pa.)2019

Comparison of temperature-mortality associations estimated with different exposure metrics.

Kate R Weinberger, Keith R Spangler, Antonella Zanobetti, Joel D Schwartz, Gregory A Wellenius

Abstract read
In one paragraph

Article in Environmental epidemiology (Philadelphia, Pa.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 2 pooled it
–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

27 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  6. Prenatal exposure to extreme heat and autism in children.The Science of the total environment · 2026
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  15. Heat-mortality relationship in North Carolina: Comparison using different exposure methods.Journal of exposure science & environmental epidemiology · 2023
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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

5 authors.

Kate R WeinbergerSchool of Population and Public Health, University of British Columbia, Vancouver, BC, Canada.
Keith R SpanglerDepartment of Epidemiology, Brown University School of Public Health, Providence, Rhode Island.
Antonella ZanobettiDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Joel D SchwartzDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Gregory A WelleniusDepartment of Epidemiology, Brown University School of Public Health, Providence, Rhode Island.

Funding

Translational Research Support CoreP30ES000002 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI Marc G Weisskopf · 1985 to 2026
$44.6M
Evidence to improve heat warning effectiveness in reducing morbidity and mortality.R01ES029950 · NIEHS · BROWN UNIVERSITY · PI WELLENIUS, GREGORY A · 2019 to 2022
$2.5M
Public Health Effectiveness of National Weather Service Heat WarningsF32ES027742 · NIEHS · BROWN UNIVERSITY · PI WEINBERGER, KATE REBECCA · 2017 to 2019
$138k
NIEHS NIH HHS F32 ES027742NIEHS NIH HHS P30 ES000002NIEHS NIH HHS R01 ES029950
6 · The paper itself

Abstract

Studies of the short-term association between ambient temperature and mortality often use temperature observations from a single monitoring station, frequently located at the nearest airport, to represent the exposure of individuals living across large areas. Population-weighted temperature estimates constructed from gridded meteorological data may offer an opportunity to improve exposure assessment in locations where station observations do not fully capture the average exposure of the population of interest.

methodsWe compared the association between daily mean temperature and mortality in each of 113 United States counties using (1) temperature observations from a single weather station and (2) population-weighted temperature estimates constructed from a gridded meteorological dataset. We used distributed lag nonlinear models to estimate the 21-day cumulative association between temperature and mortality in each county, 1987-2006, adjusting for seasonal and long-term trends, day of week, and holidays.

resultsIn the majority (73.4%) of counties, the relative risk of death on extremely hot days (99th percentile of weather station temperature) versus the minimum mortality temperature was larger when generated from the population-weighted estimates. In contrast, relative risks on extremely cold days (first percentile of weather station temperature) were often larger when generated from the weather station observations. In most counties, the difference in associations estimated from the two temperature metrics was small.

conclusionsIn a large, multi-site analysis, temperature-mortality associations were largely similar when estimated from weather station observations versus population-weighted temperature estimates. However, spatially refined exposure data may be more appropriate for analyses seeking to elucidate local health effects.

Identifiers

PMID33195965
PMCPMC7608890

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Registered trials

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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.