Evidence map›Paper›PMID 41820872›Full record

ArticleBMC pregnancy and childbirth2026

Factors that influence the adoption of heat-health protective actions during pregnancy: a cross-sectional study conducted in San Antonio, Texas, United States, in 2024.

Lisa K Zottarelli, Robyn Stassen, Yejin Heo, Madeline Navarrete, Shamshad Khan, Thankam Sunil, Andrea Shields

Abstract read
In one paragraph

Article in BMC pregnancy and childbirth, 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

7 authors.

Lisa K ZottarelliCollege of Social Work, University of Tennessee, 916 Volunteer Blvd., Stokely Management Center 524, Knoxville, USA. LZottare@utk.edu.
Robyn StassenDepartment of Public Health, College of Health, Community, and Policy, University of Texas at San Antonio, San Antonio, USA.
Yejin HeoCollege of Social Work, University of Tennessee, 916 Volunteer Blvd., Stokely Management Center 524, Knoxville, USA.
Madeline NavarreteDepartment of Communication, College of Liberal and Fine Arts, University of Texas at San Antonio, San Antonio, USA.
Shamshad KhanDepartment of Communication, College of Liberal and Fine Arts, University of Texas at San Antonio, San Antonio, USA.
Thankam SunilDepartment of Nutrition and Public Health Sciences, College of Education, Health, and Human Sciences, University of Tennessee, Knoxville, USA.
Andrea ShieldsDepartment of Obstetrics and Gynecology, University of Connecticut Health, Farmington, USA.

Funding

National Oceanic and Atmospheric Administration https://doi.org/10.25923/na23oar4590365
6 · The paper itself

Abstract

introductionExposure to extreme heat during pregnancy is associated with adverse maternal and child health outcomes. Heat-health protective actions such as spending time in air conditioning and reducing skin exposure to the sun can reduce exposure to extreme heat, but little is known about the willingness and ability of women to adopt heat-health protective actions during pregnancy.

methodsIn summer and fall of 2024, a cross-sectional survey of 202 pregnant women 18 years and older living in Bexar County, Texas, was conducted. Participants were recruited from social service agencies, health clinics, and other facilities that provide pregnancy-related services. The self-administered survey was conducted online and in person in English and Spanish. The study examined the Health Belief Model’s dimensions of knowledge, risk perception, cue-to-action, self-efficacy, and socioeconomic factors on adoption of heat-health protective actions. Descriptive and bivariate statistics and logistic regressions were conducted.

resultsDrinking plenty of water to stay hydrated (n = 164, 81.2%) was the most frequently reported heat-health protective action adopted, followed by limiting time in the sun (n = 159, 80.7%), and spending time in air conditioning (n = 155, 77.9%). An 11-item heat-health protective actions scale had a mean of 6.84 (sd +/- 3.02). Statistically significant relationships were found between cue-to-action (Spearman’s rho=0.234, p<.001), severity of extreme heat during pregnancy (Spearman’s rho=0.119, p=.049), extreme heat knowledge (Spearman’s rho=0.174, p=.008), and self-efficacy in transit (Spearman’s rho=0.143, p=.024) with the heat-health protective actions scale. In a logistic regression model, knowledge of excessive heat health risks had 19.2 greater odds (p=.022) of adopting above the mean number of heat-health protective actions. Cue-to-action in the form of daily weather checks had 5.2 (p=.053) greater odds of adopting seven or more heat-health protective actions. Difficulty in self-efficacy during transit had 2.8 greater odds (p=.010) of adopting seven or more heat-health protective actions.

conclusionsThe results indicate that the pregnant women who are knowledgeable about the effects of heat when not pregnant, actively seek weather information, and recognize their vulnerability to heat in locations such as work and in transit are more likely to engage in heat-health protective actions. Targeted messaging tailored to pregnancy is needed to encourage consistent and comprehensive use of heat-health protective actions.

Indexed as

Extreme HeatHealth Knowledge, Attitudes, PracticeHeat Stress DisordersPregnant PeopleAdultCross-Sectional StudiesFemaleHealth Belief ModelHumansPregnancySelf EfficacySurveys and QuestionnairesTexasYoung AdultExtreme heatHealth belief modelHealth protective actionsMaternal healthPreparednessVulnerability

Identifiers

PMID41820872
PMCPMC13097907

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.