Evidence map›Paper›PMID 40830732›Full record

ArticleCurrent environmental health reports2025

Metrics of Urbanicity and Rurality in US-Based Epidemiologic Studies of Ambient Temperature and Health: A Scoping Review.

Nicholaus P Johnson, Alexandra Del Favero-Campbell, Amruta Nori-Sarma, Audrey Amezcua-Smith, Brandon Lewis, Chen Chen, Chengyi Lin, Damien Foo, Garam Byun, Hayon Michelle Choi and 17 more

Abstract readScoping Review
In one paragraph

Article in Current environmental health reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

27 authors.

Nicholaus P JohnsonYale School of Public Health, New Haven, Connecticut, 06510, USA.
Alexandra Del Favero-CampbellDalhousie University, Halifax, Nova Scotia, B3H 4R2, Canada.
Amruta Nori-SarmaHarvard T. H. Chan School of Public Health, Harvard University, Boston, Massachusetts, 02115, USA.
Audrey Amezcua-SmithYale School of the Environment, New Haven, Connecticut, 06511, USA.
Brandon LewisYale School of the Environment, New Haven, Connecticut, 06511, USA.
Chen ChenScripps Institution of Oceanography, University of California, La Jolla, San Diego, California, 92037, USA.
Chengyi LinYale School of Public Health, New Haven, Connecticut, 06510, USA.
Damien FooYale School of the Environment, New Haven, Connecticut, 06511, USA.
Garam ByunYale School of the Environment, New Haven, Connecticut, 06511, USA.
Hayon Michelle ChoiHarvard T. H. Chan School of Public Health, Harvard University, Boston, Massachusetts, 02115, USA.
Honghyok KimUniversity of Illinois Chicago School of Public Health, Chicago, Illinois, 60612, USA.
Jesse D BermanUniversity of Minnesota School of Public Health, Minneapolis, Minnesota, 55455, USA.
Ji-Young SonYale School of the Environment, New Haven, Connecticut, 06511, USA.
Joshua L WarrenYale School of Public Health, New Haven, Connecticut, 06510, USA.
Kai ChenYale School of Public Health, New Haven, Connecticut, 06510, USA.
Kate BurrowsDepartment of Public Health Sciences, University of Chicago, Chicago, Illinois, 60637, USA.
Kelvin C FongMilken Institute School of Public Health, George Washington University, Washington, DC, USA.
Leo GoldsmithYale School of the Environment, New Haven, Connecticut, 06511, USA.
Marie-Claire MeadowsUniversity of Minnesota School of Public Health, Minneapolis, Minnesota, 55455, USA.
Morrison SmithThe Pennsylvania State University Social Sciences Research Institute, State College, Pennsylvania, 16802, USA.
Rory StewartYale School of the Environment, New Haven, Connecticut, 06511, USA.
Seulkee HeoYale School of the Environment, New Haven, Connecticut, 06511, USA.
Shuqi LinYale School of Public Health, New Haven, Connecticut, 06510, USA.
Xuejuan NingYale School of Public Health, New Haven, Connecticut, 06510, USA.
Yongsoo ChoiYale School of the Environment, New Haven, Connecticut, 06511, USA.
Michelle L BellYale School of the Environment, New Haven, Connecticut, 06511, USA.
Nicole C DezielYale School of Public Health, New Haven, Connecticut, 06510, USA. nicole.deziel@yale.edu.

Funding

Pilot Program CoreP30ES027792 · NIEHS · UNIVERSITY OF CHICAGO · PI Gokhan M. Mutlu, Gail S Prins · 2017 to 2026
$13.6M
Containerizing tasks to ensure robust AI/ML data curation pipelines to estimate environmental disparities in the rural southR01MD016054 · NIMHD · YALE UNIVERSITY · PI Michelle L Bell, Nicole Deziel · 2022 to 2026
$4.3M
National Institute on Minority Health and Health Disparities of the National Institutes of Health R01MD016054NIEHS NIH HHS P30 ES027792NIMHD NIH HHS R01 MD016054
6 · The paper itself

Abstract

backgroundThe impacts of environmental health risk factors, including temperature, vary across urban and rural areas. Application of different metrics of rurality and urbanicity can yield different risk characterizations. We aimed to identify, describe, and quantify how urban/rural metrics are used in epidemiologic studies of ambient temperature and health across the United States (US).

methodsUsing PubMed and Scopus, we identified epidemiologic studies published between January 2010 and March 2025 that examined ambient temperature and health in the US and included a defined, quantitative metric of urbanicity/rurality. Titles, abstracts, and full texts were evaluated by two independent reviewers. Data from included studies were extracted using a predetermined tool.

resultsOf the 11,013 studies resulting from our search, 36 were included. We identified 23 metrics drawing from 10 data sources. The most frequently used metrics were population density and size from the US Census (n = 11 studies). Other metrics reflected connectivity and proximity to surrounding areas, such as the US Census’s Urban-Rural Classification (n = 7 studies), and the US Department of Agriculture’s Rural-Urban Commuting Area Codes (n = 4 studies) and Rural-Urban Continuum Codes (n = 2 studies). Additional metrics captured features related to the natural environment, built environment, and employment. Many studies did not provide a rationale for metric selection. DISCUSSION: Urbanicity and rurality metrics have moved beyond population size and density to include other features. Providing rationales for choice of metric or the differential vulnerability or adaptive capacity captured by the metric could bolster understanding of urban-rural differences in the impact of temperature on health.

Indexed as

Environmental HealthRural PopulationTemperatureUrban PopulationEpidemiologic StudiesHumansUnited StatesAmbient temperatureEnvironmental epidemiologyHeat waveRural healthUrban health

Identifiers

PMID40830732
PMCPMC12364962

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.