Evidence map›Paper›PMID 40342591›Full record

ArticleEnvironmental epidemiology (Philadelphia, Pa.)2025

Extreme heat and hospital admissions in older adults: A small-area analysis in the Greater Boston metropolitan area.

Youn Soo Jung, Ernani Choma, Scott Delaney, Daniel Mork, Michelle Audirac, Danielle Braun, William Kessler, Brent Coull, Kari Nadeau, Antonella Zanobetti

Abstract read
In one paragraph

Article in Environmental epidemiology (Philadelphia, Pa.), 2025. 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. Review
  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

10 authors.

Youn Soo JungDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.ORCID https://orcid.org/0000-0002-1441-2618
Ernani ChomaDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Scott DelaneyDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Daniel MorkDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Michelle AudiracDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Danielle BraunDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
William KesslerNIEHS Center for Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Brent CoullDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Kari NadeauDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Antonella ZanobettiDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.

Funding

Translational Research Support CoreP30ES000002 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI JAIME ELIZABETH HART · 1985 to 2026
$44.6M
Immune Tolerance Dysfunction in Pregnancy due to Ambient Air Pollution ExposureR01ES032253 · NIEHS · STANFORD UNIVERSITY · PI NADEAU, KARI C. · 2020 to 2024
$2.2M
NIEHS NIH HHS P30 ES000002NIEHS NIH HHS R01 ES032253
6 · The paper itself

Abstract

Extreme heat (EH) is a leading cause of weather-related fatalities in the United States. In Massachusetts, average temperatures have increased by 1.9 °C since the 20th century, higher than the global average increase of 1.1 °C. EH disproportionately impacts communities, exacerbating social inequities. This study examined the risks of heat-related hospitalizations in each small area of the Greater Boston Metropolitan Area using Medicare data (2000-2016). EH events included daily heat index (HI), days with an HI above the 90th percentile, and heat waves (≥2 consecutive EH days). We applied a case-crossover design to estimate area-specific associations between EH and hospitalizations and assessed effect modifications by an individual (age ≥85, sex, Medicaid dual eligibility) and ZIP-code characteristics (green space, poverty, educational attainment, and household income). Results were pooled using random effects meta-analysis. Area-specific analysis revealed higher hospitalization risks in Boston compared with surrounding areas. Pooled results indicated heat-related hospitalizations increased by 9.0% (95% CI = 5.7, 12.3) per 10 °C rise in HI, 14.4% (95% CI = 8.8, 20.3) on EH days, and 17.9% (95% CI = 11.1, 25.1) during heat waves. Risks were more pronounced in Boston, and some indications of elevated risk among males and residents in low-income, low-education areas. These findings underscore that heat-related health risks may be different across the level of geographic units and suggest the need for targeted public health strategies to mitigate the impacts of EH.

Identifiers

PMID40342591
PMCPMC12058651

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.