ArticlePaediatric and perinatal epidemiology2023
The association between multidimensional sleep health and gestational weight gain.
Article in Paediatric and perinatal epidemiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 9 citations in OpenAlex.
- The association between sleep trajectories throughout pregnancy and postpartum pain in individuals with overweight or obesity: A prospective cohort study.Journal of psychosomatic research · 2026Article
- Daily step-count and sleep metrics across pregnancy: an observational analysis of the LEAP cluster randomized clinical trial.Sleep advances : a journal of the Sleep Research Society · 2026Article
- Measuring 24-hour Movement Profiles During Pregnancy: Protocol for the 24MOVE Prospective Cohort Study.JMIR research protocols · 2025Article
- Exploring nightly variability and clinical influences on sleep measures: insights from a digital brain health platform.Sleep medicine · 2025Article
- Associations of a multidimensional polygenic sleep health score and a sleep lifestyle index with disease outcomes and their interaction in a clinical biobank.Sleep health · 2025Article
- Sleep health profiles across six population-based cohorts and recommendations for validating clustering models.Sleep health · 2025Article
- Association of maternal nocturnal heart rate and adverse pregnancy outcomes.Pregnancy (Hoboken, N.J.) · 2025Article
- Predictors of gestational weight gain in western India: Findings from a longitudinal study across rural and urban cohorts.PloS one · 2025Article
- The impact of cohort inclusion/exclusion criteria on pregnancy weight gain chart percentiles.The British journal of nutrition · 2024Article
- Associations of a multidimensional polygenic sleep health score and a sleep lifestyle index on health outcomes and their interaction in a clinical biobank.medRxiv : the preprint server for health sciences · 2024Article
- Night-time sleep duration and postpartum weight retention in primiparous women.Sleep advances : a journal of the Sleep Research Society · 2024Article
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Authors and funding
11 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundAlthough poor sleep health is associated with weight gain and obesity in the non-pregnant population, research on the impact of sleep health on weight change among pregnant people using a multidimensional sleep health framework is needed.
objectivesThis secondary data analysis of the Nulliparous Pregnancy Outcome Study: Monitoring Mothers-to-be Sleep Duration and Continuity Study (n = 745) examined associations between mid-pregnancy sleep health indicators, multidimensional sleep health and gestational weight gain (GWG).
methodsSleep domains (i.e. regularity, nap duration, timing, efficiency and duration) were assessed via actigraphy between 16 and 21 weeks of gestation. We defined 'healthy' sleep in each domain with empirical thresholds. Multidimensional sleep health was based on sleep profiles derived from latent class analysis and composite score defined as the sum of healthy sleep domains. Total GWG, the difference between self-reported pre-pregnancy weight and the last measured weight before delivery, was converted to z-scores using gestational age- and BMI-specific charts. GWG was defined as low (<-1 SD), moderate (-1 or +1 SD) and high (>+1 SD).
resultsNearly 50% of the participants had a healthy sleep profile (i.e. healthy sleep in most domains), whereas others had a sleep profile defined as having varying degrees of unhealthy sleep in each domain. The individual sleep domains were associated with a 20%-30% lower risk of low or high GWG. Each additional healthy sleep indicator was associated with a 10% lower risk of low (vs. moderate), but not high, GWG. Participants with late timing, long duration and low efficiency (vs. healthy) profiles had the strongest risk of low GWG (relative risk 1.5, 95% confidence interval 0.9, 2.4). Probabilistic bias analysis suggested that most associations between individual sleep health indicators, sleep health profiles and GWG were biased towards the null.
conclusionsFuture research should determine whether sleep health is an intervention target for healthy GWG.
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