{"doi":"10.1111/jsr.13000","title":"Racial/ethnic disparities in sleep duration and sleep disturbances among pregnant and non‐pregnant women in the United States","abstract":"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 (PR Overall = 0.75; 95% CI, 0.68–0.82) and more likely to report long sleep (PR Overall = 2.06; 95% CI, 1.74–2.43) and trouble staying asleep (PR Overall = 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 &lt;35 years. Among white women, sleep medication use was less prevalent among pregnant compared to non‐pregnant women (PR White = 0.45; 95% CI, 0.31–0.64), but this association was not observed among black women (PR Black = 0.98; 95% CI, 0.46–2.09) and was less pronounced among Hispanic/Latina women (PR Hispanic/Latina = 0.82; 95% CI, 0.38–1.77). Compared to pregnant white women, pregnant black women had a higher short sleep prevalence (PR Black = 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.","journal":"Journal of Sleep Research","year":2020,"id":63164,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":46,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.946,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2020-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":334169,"name":"Ketrell L. McWhorter","orcid":"0000-0002-5546-334X","position":1,"is_corresponding":false},{"id":298684,"name":"Symielle A. Gaston","orcid":"0000-0001-9495-1592","position":2,"is_corresponding":false},{"id":334170,"name":"Wendy Troxel","orcid":"0000-0002-2147-8041","position":3,"is_corresponding":false},{"id":334171,"name":"Katherine M. Sharkey","orcid":"0000-0003-1743-0704","position":4,"is_corresponding":false},{"id":242805,"name":"Chandra L. Jackson","orcid":"0000-0002-0915-8272","position":5,"is_corresponding":false},{"id":323843,"name":"Lydia Feinstein","orcid":"0000-0002-8773-7966","position":0,"is_corresponding":true}],"reference_count":43,"raw_metadata":null,"created_at":"2026-07-18T21:11:00.632961Z","pmid":"32112620","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}