Fangxiang Mao , Hanan El Marroun , Desana Kocevska , Annemarie I. Luik
{"title":"以人群为基础的队列中,母亲从孕前到产后的睡眠轨迹:下一代R研究","authors":"Fangxiang Mao , Hanan El Marroun , Desana Kocevska , Annemarie I. Luik","doi":"10.1016/j.sleep.2025.106791","DOIUrl":null,"url":null,"abstract":"<div><h3>Objectives</h3><div>Sleep is known to change around pregnancy. Yet current studies often do not take into account the multidimensionality of sleep and its changes from preconception to postpartum. Therefore, this study aims to explore maternal multivariate sleep trajectory from preconception to 6 months postpartum and related determinants.</div></div><div><h3>Methods</h3><div>We included 556 women of the Generation R <em>Next</em> Study with sleep measurements between preconception and postpartum at ≥2 time points, and 850 women with sleep measurements at ≥2 time points from pregnancy onwards. Sleep duration, sleep midpoint, sleep latency, sleep quality, and general sleep disturbance were assessed at preconception (or inclusion), first trimester, third trimester, and 6 months postpartum with the Munich Chronotype Questionnaire and General Sleep Disturbance Scale. We used multivariate and univariate latent class models to identify multidimensional and unidimensional sleep trajectories. Associations of sociodemographic, lifestyle and psychopathological factors with sleep trajectories were assessed with multinomial regressions.</div></div><div><h3>Results</h3><div>We identified three multivariate sleep trajectories, labelled as ‘good’, ‘average’ and ‘poor’ sleep health. All trajectories were relatively stable over time and with similar sleep duration, but with a different midpoint (03:00, 03:20, 03:40), latency (7.5, 16, 37.5 min), and quality (good, moderate, poor) respectively. Women born outside the Netherlands, with lower socioeconomic status, smoking, using illicit substances, or with depression/anxious symptoms had more poor sleep trajectories.</div></div><div><h3>Conclusion</h3><div>Maternal sleep trajectories varied in individuals from preconception to postpartum. Comprehensively considering multiple sleep components, rather than a single sleep component, could provide more insights for prevention of poor maternal sleep.</div></div>","PeriodicalId":21874,"journal":{"name":"Sleep medicine","volume":"136 ","pages":"Article 106791"},"PeriodicalIF":3.4000,"publicationDate":"2025-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Maternal sleep trajectories from preconception to postpartum in a population-based cohort: The Generation R next study\",\"authors\":\"Fangxiang Mao , Hanan El Marroun , Desana Kocevska , Annemarie I. Luik\",\"doi\":\"10.1016/j.sleep.2025.106791\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Objectives</h3><div>Sleep is known to change around pregnancy. Yet current studies often do not take into account the multidimensionality of sleep and its changes from preconception to postpartum. Therefore, this study aims to explore maternal multivariate sleep trajectory from preconception to 6 months postpartum and related determinants.</div></div><div><h3>Methods</h3><div>We included 556 women of the Generation R <em>Next</em> Study with sleep measurements between preconception and postpartum at ≥2 time points, and 850 women with sleep measurements at ≥2 time points from pregnancy onwards. Sleep duration, sleep midpoint, sleep latency, sleep quality, and general sleep disturbance were assessed at preconception (or inclusion), first trimester, third trimester, and 6 months postpartum with the Munich Chronotype Questionnaire and General Sleep Disturbance Scale. We used multivariate and univariate latent class models to identify multidimensional and unidimensional sleep trajectories. Associations of sociodemographic, lifestyle and psychopathological factors with sleep trajectories were assessed with multinomial regressions.</div></div><div><h3>Results</h3><div>We identified three multivariate sleep trajectories, labelled as ‘good’, ‘average’ and ‘poor’ sleep health. All trajectories were relatively stable over time and with similar sleep duration, but with a different midpoint (03:00, 03:20, 03:40), latency (7.5, 16, 37.5 min), and quality (good, moderate, poor) respectively. Women born outside the Netherlands, with lower socioeconomic status, smoking, using illicit substances, or with depression/anxious symptoms had more poor sleep trajectories.</div></div><div><h3>Conclusion</h3><div>Maternal sleep trajectories varied in individuals from preconception to postpartum. Comprehensively considering multiple sleep components, rather than a single sleep component, could provide more insights for prevention of poor maternal sleep.</div></div>\",\"PeriodicalId\":21874,\"journal\":{\"name\":\"Sleep medicine\",\"volume\":\"136 \",\"pages\":\"Article 106791\"},\"PeriodicalIF\":3.4000,\"publicationDate\":\"2025-08-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Sleep medicine\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1389945725004666\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sleep medicine","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1389945725004666","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
Maternal sleep trajectories from preconception to postpartum in a population-based cohort: The Generation R next study
Objectives
Sleep is known to change around pregnancy. Yet current studies often do not take into account the multidimensionality of sleep and its changes from preconception to postpartum. Therefore, this study aims to explore maternal multivariate sleep trajectory from preconception to 6 months postpartum and related determinants.
Methods
We included 556 women of the Generation R Next Study with sleep measurements between preconception and postpartum at ≥2 time points, and 850 women with sleep measurements at ≥2 time points from pregnancy onwards. Sleep duration, sleep midpoint, sleep latency, sleep quality, and general sleep disturbance were assessed at preconception (or inclusion), first trimester, third trimester, and 6 months postpartum with the Munich Chronotype Questionnaire and General Sleep Disturbance Scale. We used multivariate and univariate latent class models to identify multidimensional and unidimensional sleep trajectories. Associations of sociodemographic, lifestyle and psychopathological factors with sleep trajectories were assessed with multinomial regressions.
Results
We identified three multivariate sleep trajectories, labelled as ‘good’, ‘average’ and ‘poor’ sleep health. All trajectories were relatively stable over time and with similar sleep duration, but with a different midpoint (03:00, 03:20, 03:40), latency (7.5, 16, 37.5 min), and quality (good, moderate, poor) respectively. Women born outside the Netherlands, with lower socioeconomic status, smoking, using illicit substances, or with depression/anxious symptoms had more poor sleep trajectories.
Conclusion
Maternal sleep trajectories varied in individuals from preconception to postpartum. Comprehensively considering multiple sleep components, rather than a single sleep component, could provide more insights for prevention of poor maternal sleep.
期刊介绍:
Sleep Medicine aims to be a journal no one involved in clinical sleep medicine can do without.
A journal primarily focussing on the human aspects of sleep, integrating the various disciplines that are involved in sleep medicine: neurology, clinical neurophysiology, internal medicine (particularly pulmonology and cardiology), psychology, psychiatry, sleep technology, pediatrics, neurosurgery, otorhinolaryngology, and dentistry.
The journal publishes the following types of articles: Reviews (also intended as a way to bridge the gap between basic sleep research and clinical relevance); Original Research Articles; Full-length articles; Brief communications; Controversies; Case reports; Letters to the Editor; Journal search and commentaries; Book reviews; Meeting announcements; Listing of relevant organisations plus web sites.