Evidence map›Paper›PMID 42891378›Full record

ArticleEnvironmental research, health : ERH2026

Long-term exposure to extreme temperature and high-impact chronic pain among middle-aged and older U.S. adults.

Feinuo Sun, Kai Zhang

Abstract read
In one paragraph

Article in Environmental research, health : ERH, 2026. 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

2 authors.

Feinuo SunAssistant Professor, Department of Kinesiology, College of Nursing and Health Innovation, University of Texas at Arlington.
Kai ZhangProfessor, Department of Population and Community Health, College of Public Health, The University of North Texas Health Science Center at Fort Worth.

Funding

Center for Aging and Policy Studies (CAPS) Core D: External Research Resources Support and Dissemination CoreP30AG066583 · NIA · SYRACUSE UNIVERSITY · PI MONTEZ, JENNIFER KARAS · 2020 to 2024
$2.1M
NIA NIH HHS P30 AG066583
6 · The paper itself

Abstract

Existing studies have documented associations between daily temperature fluctuations and pain, but less is known about the sustained effects of temperature patterns over longer periods. This study is among the first to examine how prolonged exposure to extreme cold and heat over months and years shapes high-impact chronic pain (HICP) outcomes, including HICP reporting, two-year HICP incidence, and two-year HICP recovery. We linked Health and Retirement Study data (1998-2022) with census tract-level temperature data and applied hierarchical logistic models. Results indicate that high long-term (12-month) exposure to extreme cold is associated with a 4% increase in the odds of reporting HICP (95% CI: 0%-9%, p = 0.045). Intermediate-term (3-month) exposure to extreme cold and both intermediate- and long-term exposure to extreme heat are not significantly associated with HICP reporting in the overall population. Interaction analyses reveal that individuals with higher education and those living in cold or very cold climate zones are more likely to report HICP under sustained extreme cold. In contrast, people in the lowest wealth quartile and rural residents experience higher HICP incidence under cumulative exposure to extreme heat, whereas extreme heat exposure is associated with lower HICP incidence and higher recovery among individuals in the wealthiest groups. These findings provide novel evidence on environmental determinants of chronic pain and underscore the importance of climate-adaptive strategies for pain prevention and management.

Indexed as

chronic painextreme coldextreme heatlong-termpopulation studies

Identifiers

PMID42891378
PMCPMC13674691

What OpenQuestion holds

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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.