ArticleBMC pregnancy and childbirth2022
Monitoring one heart to help two: heart rate variability and resting heart rate using wearable technology in active women across the perinatal period.
Article in BMC pregnancy and childbirth, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
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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.
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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.
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Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.
- Postpartum Blood Pressure Screening in the United States Primary Care Settings: A Systematic Review.American journal of hypertension · 2025Pooled it
- Digital Phenotyping in Health Research: Scoping Review of Methods, Gaps, and Opportunities.Journal of medical Internet research · 2026Article
- Benefit of the N-of-1 Approach Versus Aggregate Analysis in Tracking Individual Trajectories During Pregnancy: Comparison of Longitudinal Wearable Observational Studies.JMIR formative research · 2026Article
- Temporal Trajectories in Sleep, Temperature Trends, Cardiorespiratory, and Activity Metrics Measured via Oura Ring During Pregnancy: Large-Scale Observational Analysis.JMIR mHealth and uHealth · 2025Observational
- Heart Rate Variability Patterns Reflect Yoga Intervention in Chronically Stressed Pregnant Women: A Quasi-Randomized Controlled Trial.Bioengineering (Basel, Switzerland) · 2025Article
- Heterogeneous effects of physical activity on physiological stress during pregnancy.PLOS digital health · 2025Article
- Information Dynamics of the Mother-Fetus System Using Kolmogorov-Sinai Entropy Derived from Heart Sounds: A Longitudinal Study from Early Pregnancy to Postpartum.Entropy (Basel, Switzerland) · 2025Article
- A Scoping Review of Studies Reporting Heart Rate Variability Measurement Among Pregnant and Postpartum People Using Wearable Technology.Biological research for nursing · 2025Article
- Article
- Circadian rhythm of heart rate and heart rate variability in pregnancy.npj women's health · 2025Article
- Heart rate variability and perinatal depressive symptoms: A scoping review protocol.Brain, behavior, & immunity - health · 2024Article
- Detecting sleep and physical activity changes across the perinatal period using wearable technology.BMC pregnancy and childbirth · 2024Article
- Deep learning model using continuous skin temperature data predicts labor onset.BMC pregnancy and childbirth · 2024Article
- Trends in sensor-based health metrics during and after pregnancy: descriptive data from the apple women's health study.AJOG global reports · 2024Article
- Biometrics of complete human pregnancy recorded by wearable devices.NPJ digital medicine · 2024Article
- Changes in Maternal Heart Rate Variability and Photoplethysmography Morphology after Corticosteroid Administration: A Prospective, Observational Study.Journal of clinical medicine · 2024Article
- Investigating the Feasibility of Using a Wearable Device to Measure Physiologic Health Data in Emergency Nurses and Residents: Observational Cohort Study.JMIR formative research · 2024Article
- Wearable-derived maternal heart rate variability as a novel digital biomarker of preterm birth.PloS one · 2024Article
- The impact of healthy pregnancy on features of heart rate variability and pulse wave morphology derived from wrist-worn photoplethysmography.Scientific reports · 2023Article
- Predicting labor onset relative to the estimated date of delivery using smart ring physiological data.NPJ digital medicine · 2023Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
backgroundCharacterizing normal heart rate variability (HRV) and resting heart rate (RHR) in healthy women over the course of a pregnancy allows for further investigation into disease states, as pregnancy is the ideal time period for these explorations due to known decreases in cardiovascular health. To our knowledge, this is the first study to continuously monitor HRV and RHR using wearable technology in healthy pregnant women.
methodsA total of 18 healthy women participated in a prospective cohort study of HRV and RHR while wearing a WHOOP® strap prior to conception, throughout pregnancy, and into postpartum. The study lasted from March 2019 to July 2021; data were analyzed using linear mixed models with splines for non-linear trends.
resultsEighteen women were followed for an average of 405.8 days (SD = 153). Minutes of logged daily activity decreased from 28 minutes pre-pregnancy to 14 minutes by third trimester. A steady decrease in daily HRV and increase in daily RHR were generally seen during pregnancy (HRV Est. = - 0.10, P < 0.0001; RHR Est. = 0.05, P < 0.0001). The effect was moderated by activity minutes for both HRV and RHR. However, at 49 days prior to birth there was a reversal of these indices with a steady increase in daily HRV (Est. = 0.38, P < 0.0001) and decrease in daily RHR (Est. = - 0.23, P < 0.0001), regardless of activity level, that continued into the postpartum period.
conclusionsIn healthy women, there were significant changes to HRV and RHR throughout pregnancy, including a rapid improvement in cardiovascular health prior to birth that was not otherwise known. Physical activity minutes of any type moderated the known negative consequences of pregnancy on cardiovascular health. By establishing normal changes using daily data, future research can now evaluate disease states as well as physical activity interventions during pregnancy and their impact on cardiovascular fitness.
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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.