Evidence map›Paper›PMID 41648829›Full record

ArticleThe journal of climate change and health

Racial and ethnic health inequities caused by extreme U.S. weather events: A nationally representative study.

Carl A Latkin, Kelsie Parker, Melissa L Walls, Lauren Dayton

Abstract read
In one paragraph

Article in The journal of climate change and health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Carl A LatkinDepartment of Health, Behavior & Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.
Kelsie ParkerDepartment of Health, Behavior & Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.
Melissa L WallsCenter for Indigenous Health, Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.
Lauren DaytonDepartment of Health, Behavior & Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: As extreme weather events are increasing in frequency and magnitude due to climate change, racially and ethnically marginalized communities are likely to experience inequities in health burdens from these extreme weather events. This study examined physical and mental health disparities due to the impacts of extreme weather events. Methods: A representative survey of 2646 U.S. adults from March 31 to May 8, 2022, assessed extreme weather exposure and its impact on self-reported household physical and mental health in the prior five years. Multivariable logistic models evaluated related health inequities based on racial/ethnic categories of Non-Hispanic White, Hispanic, Non-Hispanic Black, Asian, and Indigenous, adjusting for regional and individual factors Results: All racial/ethnic groups were more likely to experience serious household physical health problems due to extreme weather events than non-Hispanic Whites. The effect was strongest for Indigenous people (AOR:4.95, 95 % CI:2.86-8.55). This group was also significantly more likely (AOR:2.65, 95 % CI:1.48-4.75) to report serious household problems with mental health related to an extreme weather event. Conclusions: Findings suggest that climate change mitigation and adaptation policy should consider the health of marginalized communities. Regional and national efforts should address the underlying systemic challenges contributing to marginalized communities' vulnerability.

Indexed as

EthnicityExtreme weatherHealth inequitiesRace

Identifiers

PMID41648829
PMCPMC12851241

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.