Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2020 Oct;29(5):e13000.
doi: 10.1111/jsr.13000. Epub 2020 Feb 29.

Racial/ethnic disparities in sleep duration and sleep disturbances among pregnant and non-pregnant women in the United States

Affiliations

Racial/ethnic disparities in sleep duration and sleep disturbances among pregnant and non-pregnant women in the United States

Lydia Feinstein et al. J Sleep Res. 2020 Oct.

Abstract

Sleep disturbances among pregnant women are increasingly linked to suboptimal maternal/birth outcomes. Few studies in the USA investigating sleep by pregnancy status have included racially/ethnically diverse populations, despite worsening disparities in adverse birth outcomes. Using a nationally representative sample of 71,644 (2,349 pregnant) women from the National Health Interview Survey (2004-2017), we investigated relationships between self-reported pregnancy and six sleep characteristics stratified by race/ethnicity. We also examined associations between race/ethnicity and sleep stratified by pregnancy status. We used average marginal predictions from fitted logistic regression models to estimate prevalence ratios (PRs) and 95% confidence intervals (CIs) for each sleep dimension, adjusting for sociodemographic and health characteristics. Pregnant women were less likely than non-pregnant women to report short sleep (PROverall = 0.75; 95% CI, 0.68-0.82) and more likely to report long sleep (PROverall = 2.06; 95% CI, 1.74-2.43) and trouble staying asleep (PROverall = 1.34; 95% CI, 1.25-1.44). The association between pregnancy and sleep duration was less pronounced among women aged 35-49 years compared to those <35 years. Among white women, sleep medication use was less prevalent among pregnant compared to non-pregnant women (PRWhite = 0.45; 95% CI, 0.31-0.64), but this association was not observed among black women (PRBlack = 0.98; 95% CI, 0.46-2.09) and was less pronounced among Hispanic/Latina women (PRHispanic/Latina = 0.82; 95% CI, 0.38-1.77). Compared to pregnant white women, pregnant black women had a higher short sleep prevalence (PRBlack = 1.35; 95% CI, 1.08-1.67). Given disparities in maternal/birth outcomes and sleep, expectant mothers (particularly racial/ethnic minorities) may need screening followed by treatment for sleep disturbances. Our findings should be interpreted in the historical and sociocultural context of the USA.

Keywords: ethnic groups; pregnancy; race factors; sleep; sleep deprivation; sleep initiation and maintenance disorders.

PubMed Disclaimer

Conflict of interest statement

Conflict of interests: None declared.

Figures

Figure 1.
Figure 1.
Age-standardized prevalence of sleep disturbances by race/ethnicity and pregnancy status.
Figure 2.
Figure 2.. Prevalence ratios and 95% confidence intervals of sleep characteristics for pregnant compared to non-pregnant women, overall and by race/ethnicity, National Health Interview Survey, 2004–2017.
Models are adjusted for age, marital status, educational attainment, occupational class, household income, smoking status, alcohol consumption, physical activity, self-rated health status, hypertension, diabetes, heart disease, cancer, and depressive symptoms. Overall models are additionally adjusted for race/ethnicity. Analyses of short sleep duration excluded those who reported >9 hours of sleep. Analyses of long sleep duration excluded those who reported <7 hours of sleep. Analyses of sleep medication use included fewer than 50 participants in a cell of the crosstab between pregnancy status and the sleep outcome.
Figure 3.
Figure 3.. Prevalence ratios and 95% confidence intervals of sleep characteristics for pregnant compared to non-pregnant women, stratified by age (<35 vs. 35–49 years of age), overall and by race/ethnicity, National Health Interview Survey, 2004–2017.
Models are adjusted for marital status, educational attainment, occupational class, household income, smoking status, alcohol consumption, physical activity, self-rated health status, hypertension, diabetes, heart disease, cancer, and depressive symptoms. Overall models are additionally adjusted for race/ethnicity. Analyses of short sleep duration excluded those who reported >9 hours of sleep. Analyses of long sleep duration excluded those who reported <7 hours of sleep. Some analyses included fewer than 50 participants in a cell of the crosstab between pregnancy status and the sleep outcome.
Figure 4.
Figure 4.. Prevalence ratios and 95% confidence intervals of sleep characteristics comparing non-Hispanic black and Hispanic/Latina to non-Hispanic white participants by pregnancy status, National Health Interview Survey, 2004–2017.
Models are adjusted for age, marital status, educational attainment, occupational class, household income, smoking status, alcohol consumption, physical activity, self-rated health status, hypertension, diabetes, heart disease, cancer, and depressive symptoms. Overall models are additionally adjusted for race/ethnicity. Analyses of short sleep duration excluded those who reported >9 hours of sleep. Analyses of long sleep duration excluded those who reported <7 hours of sleep. Some analyses included fewer than 50 participants in a cell of the crosstab between pregnancy status and the sleep outcome.

Similar articles

Cited by

References

    1. Amyx M, Xiong X, Xie Y and Buekens P Racial/Ethnic Differences in Sleep Disorders and Reporting of Trouble Sleeping among Women of Childbearing Age in the United States. Maternal and child health journal, 2017, 21: 306–14. - PMC - PubMed
    1. Bieler GS, Brown GG, Williams RL and Brogan DJ Estimating model-adjusted risks, risk differences, and risk ratios from complex survey data. American Journal of Epidemiology, 2010, 171: 618–23. - PubMed
    1. Blewett LA, Rivera Drew JA, King ML and Williams KCW IPUMS Health Surveys: National Health Interview Survey, Version 6.4 [dataset]. In. IPUMS 2019, Minneapolis, MN, 2019.
    1. Bublitz MH, Bourjeily G, D’angelo C and Stroud LR Maternal Sleep Quality and Diurnal Cortisol Regulation Over Pregnancy. Behav. Sleep Med, 2018, 16: 282–93. - PMC - PubMed
    1. Buysse DJ Sleep health: can we define it? Does it matter? Sleep, 2014, 37: 9–17. - PMC - PubMed

Publication types