Evidence map›Paper›PMID 41124169›Full record

ArticlePLOS digital health2025

Heterogeneous effects of physical activity on physiological stress during pregnancy.

Jenifer Rim, Qi Xu, Xiwei Tang, Tamara Jimah, Yuqing Guo, Annie Qu

Abstract read
In one paragraph

Article in PLOS digital health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Jenifer RimDepartment of Statistics, University of California, Irvine, California, United States of America.ORCID https://orcid.org/0009-0005-9726-5594
Qi XuDepartment of Statistics and Data Science, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States of America.
Xiwei TangDepartment of Mathematical Sciences, University of Texas at Dallas, Richardson, Texas, United States of America.
Tamara JimahDepartment of Public Health and Health Sciences & Department of Pharmacy and Health Systems Sciences, Northeastern University, Boston, Massachusetts, United States of America.
Yuqing GuoSue & Bill Gross School of Nursing, University of California, Irvine, California, United States of America.
Annie QuDepartment of Statistics and Applied Probability, University of California, Santa Barbara, California, United States of America.ORCID https://orcid.org/0000-0002-8396-7828

Funding

SCH: Individualized learning and prediction for heterogeneous multimodal data from wearable devicesR01CA297869 · NCI · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI Yuqing Guo, Annie Qu · 2024 to 2026
$900k
NCI NIH HHS R01 CA297869
6 · The paper itself

Abstract

Pregnancy involves rapid physiological and psychological changes that can increase vulnerability to health complications, underscoring the need for timely, individualized support. Mobile health (mHealth) tools offer a scalable way to capture repeated measures of health status throughout pregnancy, facilitating longitudinal assessment and the opportunity for timely intervention. This study leveraged mHealth technologies, including the Oura smart ring and ecological momentary assessment (EMA) via a mobile app, to examine how emotional distress affects the relationship between physical activity (PA) and heart rate variability (HRV), an indicator of physiological stress during pregnancy. Specifically, we examined whether emotional distress, measured via daily EMA surveys, moderates the association between physical activity and nighttime HRV, captured by continuous Oura ring data. Hence, this analysis integrated temporally aligned wearable and self-report data to investigate the interaction between subjective emotional states and objectively measured physical activity patterns. Consenting participants, aged 18-40 years, with a healthy singleton pregnancy in the second trimester, were enrolled in the study. Our findings revealed that on days with high emotional distress, each additional 1,000 steps was associated with a 3.5% increase in nighttime HRV (p-value < 0.001; 95% CI: 2.6%, 4.4%). In contrast, physical activity had little to no association with HRV on days with moderate distress (0.6%; 95% CI: -0.7%, 1.9%) and low distress (0.6%; 95% CI: -0.4%, 1.5%). These findings suggest that physical activity may be particularly beneficial on high-distress days, supporting the development of adaptive interventions that prioritize PA engagement during periods of elevated emotional distress. Based on our model-estimated moderation effects, we may recommend that a pregnant woman increase her physical activity on high-distress days due to a strong positive PA-HRV association, whereas for those who do not experience much emotional distress, the recommendation may be less emphasized, given the weaker observed association.

Identifiers

PMID41124169
PMCPMC12543122

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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.