{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,29]],"date-time":"2026-07-29T21:55:30Z","timestamp":1785362130712,"version":"3.55.0"},"reference-count":45,"publisher":"Wiley","issue":"9","license":[{"start":{"date-parts":[[2025,9,25]],"date-time":"2025-09-25T00:00:00Z","timestamp":1758758400000},"content-version":"vor","delay-in-days":24,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2025,9,1]],"date-time":"2025-09-01T00:00:00Z","timestamp":1756684800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Brain and Behavior"],"published-print":{"date-parts":[[2025,9]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Introduction<\/jats:title>\n                    <jats:p>Sleep disturbances are commonly reported during pregnancy and have been associated with adverse maternal, fetal, and neonatal outcomes. However, self\u2010reported sleep disturbances may not be accurately reflected in the prevalence of clinically diagnosed sleep disorders.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Using Optum's de\u2010identified Clinformatics Data Mart Database, we conducted a cross\u2010sectional study of 93,767 American women who were pregnant with singletons between January 1, 2015 and June 30, 2021, to (1) determine the prevalence of clinically diagnosed sleep disorders and breathing abnormalities; (2) examine their associations with maternal health outcomes; and (3) examine their associations with birth outcomes. Sleep disorders and breathing abnormalities were defined on the basis of International Classification of Diseases (ICD)\u20109 or \u201010 codes. Maternal and birth outcomes were defined on the basis of ICD\u201010 codes. Multivariable binary and multinomial logistic regression models were used to examine associations, adjusting for demographic and insurance\u2010related factors, with additional adjustment for the infant's sex and pregnancy complications in birth outcome models.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>The prevalence of clinically diagnosed sleep disorders and breathing abnormalities was 3.41%. These sleep conditions were significantly associated with increased odds (aORs: 1.25\u20133.37) of cesarean deliveries, gestational diabetes, gestational hypertension, preeclampsia, postpartum depression, stillbirths, newborn size by gestational age, birthweight, and gestation period among women with a singleton pregnancy.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Our findings are consistent with previous research, but the lower prevalence of clinical diagnoses, compared to self\u2010reported rates, suggests underdiagnosis in clinical settings. This highlights the need for routine sleep screenings during prenatal care to support early detection and management. Key limitations include limited direct information on SES and restriction to an insured population. Future studies should explore these associations in more diverse and publicly insured populations to guide equitable screening and intervention strategies.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/brb3.70908","type":"journal-article","created":{"date-parts":[[2025,9,26]],"date-time":"2025-09-26T04:17:02Z","timestamp":1758860222000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Maternal Sleep Disorders and Maternal and Birth Outcomes: A Retrospective US Claims\u2010Based Study"],"prefix":"10.1002","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-1579-8841","authenticated-orcid":false,"given":"Anayeli","family":"Herrera Morales","sequence":"first","affiliation":[{"name":"Department of Epidemiology, School of Public Health The University of Texas Health Science Center At Houston  Brownsville Texas USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Audrey 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