Evidence map›Paper›PMID 41627556›Full record

ArticleInternational journal of biometeorology2026

Temperature extremes and maternal health: differential risks of severe maternal morbidity during heatwaves and coldwaves in North Carolina.

Sarah E Ulrich, Maggie M Sugg, Manan Roy, Jennifer D Runkle

Abstract read
In one paragraph

Article in International journal of biometeorology, 2026. 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.

Sarah E UlrichDepartment of Geography and Planning, Appalachian State University, P.O. Box 32066, Boone, NC 28608, USA. ulrichse@appstate.edu.ORCID http://orcid.org/0009-0003-1303-9465
Maggie M SuggDepartment of Geography and Planning, Appalachian State University, P.O. Box 32066, Boone, NC 28608, USA.
Manan RoyDepartment of Nutrition and Health Care Management, Beaver College of Health Sciences, Appalachian State University, 1179 State Farm Road, Boone, NC, 28607, USA.
Jennifer D RunkleNorth Carolina Institute for Climate Studies, North Carolina State University, 151 Patton Avenue, Asheville, NC, 28801, USA.

Funding

Impact of prenatal exposure to climate stressors and severe maternal morbidity: a retrospective birth cohort studyR03ES035170 · NIEHS · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI RUNKLE, JENNIFER D. · 2023 to 2024
$161k
NIEHS NIH HHS R03 ES035170
6 · The paper itself

Abstract

Objective Climate change is increasingly recognized as a significant public health threat, particularly for vulnerable populations such as pregnant women. This study examines the association between heatwave and coldwave exposure and the risk of severe maternal morbidity (SMM) at delivery in North Carolina from 2011 to 2019. Methods We incorporate a matched analysis design using patient delivery data to identify disparities across the rural-urban continuum, measurements of neighborhood racial and economic inequality, geographic region, and sociodemographic groups (age, race/ethnicity, and insurance type). Results We found elevated risks of SMM associated with heatwave and coldwave exposures We observed an increased risk of severe maternal morbidity (SMM20) at delivery following exposure to heatwave (HW RR: 1.07, CI: 1.02 to 1.11) and coldwave (CW RR: 1.05, CI: 1.02 to 1.09) events during the last week of gestation in the advanced maternal age (> 35) subgroup. For coldwaves, the risk of SMM20 was elevated during the last week of gestation in both the western mountains (RR: 1.10, CI: 1.02 to 1.18) and rural (RR: 1.14, CI: 1.01 to 1.29) regions. Hispanic subgroups exhibited elevated SMM risks, particularly during heatwaves (lag0 to lag7, RR: 1.09, CI: 1.00 to 1.18) and coldwaves (lag0 to lag3, RR: 1.10, CI: 1.01 to 1.19; lag0 to lag7, RR: 1.04, CI: 1.00 to 1.07). Conclusion Our findings suggest that extreme temperature events exacerbate vulnerabilities in specific maternal subpopulations, underscoring the need to account for local context and population characteristics in maternal health assessments. Future research should continue to explore these associations and the role of additional environmental and social factors in SMM risk.

Indexed as

Extreme HeatHot TemperatureMaternal HealthAdultFemaleHumansNorth CarolinaPregnancySocioeconomic Disparities in HealthYoung AdultExtreme temperaturesMatched analysisSevere maternal morbidity (SMM)

Identifiers

PMID41627556
PMCPMC12864237

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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.