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1.
Sleep Med ; 113: 41-48, 2024 01.
Article in English | MEDLINE | ID: mdl-37984016

ABSTRACT

OBJECTIVE: to prospectively assess sleep and sleep disorders during pregnancy and postpartum in a large cohort of women. METHODS: multicenter prospective Life-ON study, recruiting consecutive pregnant women at a gestational age between 10 and 15 weeks, from the local gynecological departments. The study included home polysomnography performed between the 23rd and 25th week of pregnancy and sleep-related questionnaires at 9 points in time during pregnancy and 6 months postpartum. RESULTS: 439 pregnant women (mean age 33.7 ± 4.2 yrs) were enrolled. Poor quality of sleep was reported by 34% of women in the first trimester of pregnancy, by 46% of women in the third trimester, and by as many as 71% of women in the first month after delivery. A similar trend was seen for insomnia. Excessive daytime sleepiness peaked in the first trimester (30% of women), and decreased in the third trimester, to 22% of women. Prevalence of restless legs syndrome was 25%, with a peak in the third trimester of pregnancy. Polysomnographic data, available for 353 women, revealed that 24% of women slept less than 6 h, and 30.6% of women had a sleep efficiency below 80%. Sleep-disordered breathing (RDI≥5) had a prevalence of 4.2% and correlated positively with BMI. CONCLUSIONS: The Life-ON study provides the largest polysomnographic dataset coupled with longitudinal subjective assessments of sleep quality in pregnant women to date. Sleep disorders are highly frequent and distributed differently during pregnancy and postpartum. Routine assessment of sleep disturbances in the perinatal period is necessary to improve early detection and clinical management.


Subject(s)
Pregnancy Complications , Sleep Wake Disorders , Pregnancy , Female , Humans , Infant , Adult , Pregnancy Complications/epidemiology , Sleep , Pregnant Women , Postpartum Period , Sleep Wake Disorders/epidemiology , Surveys and Questionnaires
2.
J Affect Disord ; 317: 245-255, 2022 11 15.
Article in English | MEDLINE | ID: mdl-36055526

ABSTRACT

BACKGROUND: Perinatal depression (PND) is a severe complication of pregnancy, but there are no established risk factors predicting the disease. Evening chronotype has been associated with unhealthy lifestyle habits and adverse outcomes during pregnancy. In this study, we aimed to clarify whether chronotype can predict symptoms and/or occurrence of PND. METHODS: Two hundred ninety-nine women were followed-up from the first trimester of pregnancy until 6 months postpartum. Chronotype was assessed at baseline using the MEQ, while mood was repeatedly assessed by depression rating scales (EPDS, HDRS, MADRS). The influence of time and chronotype on EPDS, HDRS and MADRS, was estimated by constructing multilevel linear mixed regression models. A Cox proportional-hazard regression model was built to evaluate the association between chronotype and incidence of depression. RESULTS: Chronotype modulated PND symptom severity depending on time of assessment, with evening chronotypes having a higher risk for developing PND symptoms, as assessed by EPDS, at postpartum visits V4 (5-12 days) and V5 (19-26 days). These also had less healthy lifestyle habits and were more likely to suffer from gestational diabetes mellitus and undergo cesarean delivery as compared to other chronotypes. LIMITATIONS: Only a minority of women were classified as evening chronotypes. The long follow-up phase of the study led to missing data. CONCLUSIONS: Pregnant evening chronotypes show unhealthy lifestyle habits and sociodemographic characteristics commonly associated with a higher risk for PND. They also have a higher risk of developing PND symptoms in the first month after delivery. Chronotype should therefore be routinely assessed during pregnancy to identify women potentially at risk for developing PND.


Subject(s)
Depression, Postpartum , Depressive Disorder , Circadian Rhythm , Depression/diagnosis , Depression/epidemiology , Depression, Postpartum/diagnosis , Depression, Postpartum/epidemiology , Female , Humans , Incidence , Postpartum Period , Pregnancy
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