Evidence map›Paper›PMID 40724191›Full record

ArticleInternational journal of environmental research and public health2025

Assessing Heat-Health Vulnerability Through Temporal, Demographic, and Spatial Lenses: A Time-Stratified Case-Crossover Analysis in New York State.

Heather Aydin-Ghormoz, Temilayo Adeyeye, Wanhsiang Hsu, Neil Muscatiello

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 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

4 authors.

Heather Aydin-GhormozCenter for Environmental Health, New York State Department of Health, Albany, NY 12237, USA.ORCID 0000-0002-8607-1525
Temilayo AdeyeyeCenter for Environmental Health, New York State Department of Health, Albany, NY 12237, USA.ORCID 0000-0002-9554-0063
Wanhsiang HsuCenter for Environmental Health, New York State Department of Health, Albany, NY 12237, USA.ORCID 0000-0003-1900-7096
Neil MuscatielloCenter for Environmental Health, New York State Department of Health, Albany, NY 12237, USA.

Funding

CDC HHS GR150208501CDC HHS NUE1EH001453CDC HHS NUE1EH001482
6 · The paper itself

Abstract

New York State (NYS) has experienced warming outpacing the national average, and heat events are increasing. This case-crossover study uses conditional logistic regression to estimate how maximum heat index affects heat-related illness across temporal, demographic, and spatial groups in NYS, from May to September, 2008-2019. The highest risks were in May (Relative Risk (RR) = 1.81, CI: 1.72, 1.90) and August (RR = 1.86, CI: 1.79, 1.94). Older adults, especially those aged 85 and above, are at greatest risk (RR = 1.83, CI: 1.71, 1.96). The Southern Tier climate region had a higher risk (RR = 1.93, CI: 1.80, 2.07) than several other regions. Overall, similar risk between rural and urban NYS was observed. Rural non-Hispanic Black (RR = 2.38, CI: 1.78, 3.19) populations had a higher risk than their urban counterparts. This study was innovative for NYS, providing a deeper understanding of heat-health risks to vulnerable sub-groups. This can assist with facilitating targeted interventions and public health messaging during the periods of highest risk, such as promoting awareness of cooling centers and air-conditioning benefits.

Indexed as

Heat Stress DisordersHot TemperatureAdolescentAdultAgedAged, 80 and overChildChild, PreschoolCross-Over StudiesFemaleHumansInfantMaleMiddle AgedNew YorkYoung Adultcase-crossoverclimateheat-related illness

Identifiers

PMID40724191
PMCPMC12294469

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.