Sleep Disparities Across Pregnancy: A Michigan Cohort Study

• Published in: Women's health reports (New Rochelle, N.Y.) Vol. 4; no. 1; pp. 219 - 231
• Main Authors: Yang, Chia-Lun, Jansen, Erica C, Dunietz, Galit Levi, Hirko, Kelly, O'Brien, Louise M, Kerver, Jean M
• Format: Journal Article
• Language: English
• Published: United States Mary Ann Liebert, Inc., publishers 01.05.2023; Mary Ann Liebert
• Subjects: disparities; Original; pregnancy; sleep; socioeconomic; trimester; disparities; sleep; socioeconomic; trimester; pregnancy
• ISSN: 2688-4844; 2688-4844
• DOI: 10.1089/whr.2023.0009

Poor sleep health during pregnancy is related to adverse pregnancy outcomes. This study aims to identify sociodemographic characteristics associated with sleep health during pregnancy and to examine how they relate to changes in sleep during pregnancy. Participants (  = 458) were from the Michigan Archive for Research on Child Health, which is a prospective pregnancy cohort. Sociodemographic characteristics and self-reported sleep timing and quality were collected in phone interviews. This longitudinal study collected sleep parameters once during the early trimesters and once during the third trimester. Fall asleep and wake-up times were used to calculate sleep duration and sleep midpoint. Compared to the third trimester, sleep duration was 12 minutes longer (  = 0.02), fall asleep time was 21 minutes earlier (  < 0.001), and the midpoint of sleep was 12 minutes earlier (  = 0.01) in early trimesters. Shorter sleep duration was noted in younger women. Sleep midpoint was later in those who were younger, overweight, or obese, racial minorities, unmarried, and with lower educational levels or socioeconomic status, and who smoked before pregnancy after adjusting for covariates. After controlling for confounders, women who were not working for pay had higher likelihood of reduced sleep duration, and women who were unmarried were more likely to have a delayed sleep midpoint in the third trimester compared to the early trimesters. This study suggests that sleep parameters changed during pregnancy and sleep health differed by sociodemographic characteristics. Understanding sleep disparities could help with early detection of at-risk populations during prenatal care.