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Maternal sleep trajectories from preconception to postpartum in a population-based cohort: The Generation R next
Fangxiang Mao1, Hanan El Marroun2, Desana Kocevska3
1Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, Zuid-Holland, the Netherlands; The Generation R Study Group, Erasmus MC University Medical Center, Rotterdam, Zuid-Holland, the Netherlands.
Maternal sleep health trajectories from preconception to postpartum show distinct patterns. Identifying these patterns, considering multiple sleep factors, can help prevent poor sleep during and after pregnancy.
Area of Science:
- Perinatal Health
- Sleep Science
- Maternal Medicine
Background:
- Maternal sleep undergoes significant changes during the perinatal period.
- Existing research often overlooks the multifaceted nature of sleep and its evolution from preconception through postpartum.
- Understanding these complex sleep patterns is crucial for maternal well-being.
Purpose of the Study:
- To investigate maternal multivariate sleep trajectories from preconception to six months postpartum.
- To identify determinants associated with different sleep trajectories.
Main Methods:
- Latent class analysis was used to identify sleep trajectories in 1406 women.
- Sleep parameters including duration, midpoint, latency, and quality were assessed using the Munich Chronotype Questionnaire and General Sleep Disturbance Scale.
- Multinomial regressions examined associations between sociodemographic, lifestyle, and psychopathological factors and sleep trajectories.
Main Results:
- Three distinct maternal sleep trajectories were identified: 'good', 'average', and 'poor' sleep health.
- These trajectories exhibited stability over time but differed in sleep midpoint, latency, and quality.
- Factors such as lower socioeconomic status, smoking, substance use, and depression/anxiety symptoms were linked to poorer sleep trajectories.
Conclusions:
- Maternal sleep trajectories are individualized and vary significantly from preconception to postpartum.
- A comprehensive assessment of multiple sleep components offers greater insight than single-component analyses.
- This approach can inform targeted interventions for preventing poor maternal sleep.
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