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Sleep conditions and hygiene behaviors were evaluated using structural questionnaires, including the Pittsburgh Sleep Quality Index, Epworth Sleepiness Scale, and Sleep Hygiene Practice Scale. Univariate and multivariate logistic regression analyses and Spearman\u2019s correlation were conducted to identify the associations.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Results<\/jats:title>\n                <jats:p>After adjusting for baseline clinical characteristics, women with GDM were more likely to have poor sleep quality (adjusted odds ratio [AOR]\u2009=\u20091.585, 95% confidence interval [CI]: 1.261\u20131.992) and higher scores for subjective sleep quality, latency, duration, efficiency, and sleep disturbances (all <jats:italic>P<\/jats:italic>\u2009&lt;\u20090.01). Mild sleepiness (AOR\u2009=\u20091.311, 95% CI: 1.012\u20131.699) and worrying about not being able to fall asleep (AOR\u2009=\u20091.123, 95% CI: 1.005\u20131.255) were more likely to occur in the GDM group. Sleep quality and hygiene behaviors such as sleep-irrelevant activities, staying in bed after waking up, weekend catch-up sleep, and overeating before bedtime were significantly correlated with gestational diabetes variables.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Conclusion<\/jats:title>\n                <jats:p>Poor sleep conditions and specific sleep hygiene behaviors in early pregnancy may be independent risk factors for GDM. This suggests that sleep assessment and behavior education can be used as new approaches for the early implementation of surveillance and prevention of GDM.<\/jats:p>\n              <\/jats:sec>","DOI":"10.1007\/s11325-024-03071-8","type":"journal-article","created":{"date-parts":[[2024,8,27]],"date-time":"2024-08-27T16:02:33Z","timestamp":1724774553000},"page":"2421-2430","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Sleep conditions and sleep hygiene behaviors in early pregnancy are associated with gestational diabetes mellitus: A propensity-score matched study"],"prefix":"10.1007","volume":"28","author":[{"given":"Guojun","family":"Ma","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yanqing","family":"Cai","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yong","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianxia","family":"Fan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,8,27]]},"reference":[{"issue":"9","key":"3071_CR1","doi-asserted-by":"publisher","first-page":"1019","DOI":"10.4103\/0366-6999.204930","volume":"130","author":"WW Zhu","year":"2017","unstructured":"Zhu WW, Yang HX, Wang C, Su RN, Feng H, Kapur A (2017) High prevalence of gestational diabetes Mellitus in Beijing: effect of maternal birth weight and other Risk factors. 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