Abstract MP76: The Association Between Sleep Health and Gestational Weight Gain

Background: Poor sleep health is associated with weight gain and obesity outside of pregnancy. Still, there is little research regarding the impact of sleep health on weight among pregnant populations, particularly using a multidimensional sleep-health framework. This study examined associations between mid-pregnancy sleep health indicators, multidimensional sleep health, and gestational weight gain (GWG). Methods: This was a secondary data analysis of the Nulliparous Pregnancy Outcome Study: Monitoring Mothers-to-be Sleep Duration and Continuity Study (n=745). Indicators of individual sleep health domains (i.e., regularity, nap duration, timing, efficiency, and duration) were assessed via actigraphy between 16 and 21 weeks of gestation. We defined “good” sleep health in each domain based on empirical thresholds. Multidimensional sleep health was based on sleep profiles derived from latent class analysis. 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). Results: We identified four distinct sleep profiles (Figure 1). While indicators of individual sleep domains were not associated with GWG, multidimensional sleep health was associated with higher risk of low GWG. Compared to people with a good sleep profile (Class 1), people with a low efficiency and long sleep duration profile (Class 4) had a 1.88 (95% CI 1.04 to 3.39) higher risk of low GWG (vs. moderate GWG) in models adjusting for education, depressive symptoms, race, smoking status. Discussion: Multidimensional sleep health was more strongly associated with GWG than were individual sleep domains. Future research should determine whether sleep health is a useful intervention target for optimizing GWG. Figure 1- Probabilities of each sleep characteristic by sleep profile, derived from latent class analysis