Pre-pregnancy sleep duration and postpartum depression: a multicenter study in Japan

Matsuo, Seiko; Ushida, Takafumi; Iitani, Yukako; Imai, Kenji; Nakano‐Kobayashi, Tomoko; Moriyama, Yoshinori; Yoshida, Shigeru; Yamashita, Mamoru; Kajiyama, Hiroaki; Kotani, Tomomi

doi:10.1007/s00737-021-01136-1

Cited by 5 publications

(9 citation statements)

References 49 publications

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“…From all outcomes, associations with mood were most consistent. All studies found that periconceptional sleep problems were associated with stress, depression, anxiety, and/or suicidal ideation [ 13 , 14 , 19 , 26 , 31 , 37 , 38 ]. Chang et al showed that longer sleep latency was associated with a higher risk of depression in the first trimester [ 14 ].…”

Section: Resultsmentioning

confidence: 99%

“…Yu et al studied the association between poor sleep and a higher risk of depression/anxiety in the first trimester and reported ORs ranging from 1.57 to 7.39 [ 37 ]. Matsuo et al found that shorter self-reported sleep duration in the first trimester was associated with a higher risk of postpartum depression (OR 2.08 for <6 h and OR 1.41 for 6–7 h, after adjustment) [ 26 ].…”

Section: Resultsmentioning

confidence: 99%

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Maternal Sleep Problems in the Periconceptional Period and the Impact on Health of Mother and Offspring: A Systematic Review

et al. 2022

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Knowledge of the impact of sleep problems in the periconceptional period is scarce. Since this period is the most sensitive time window for embryonic and placental development, we aim to study the impact of maternal sleep problems in the periconceptional period on both mother and offspring. We systematically searched various databases up until September 2021 for studies reporting on maternal sleep in the periconceptional period and any outcome in mother and offspring. We included observational studies describing maternal sleep problems in the periconceptional period and associations with either maternal and/or offspring outcomes. The search produced 8596 articles, of which we selected 27 studies. Some associations were found between sleep problems and lower fertility, more hypertensive disorders, more mood disorders in mothers, higher risk of preterm birth and low birth weight, and more sleep and behavior problems in offspring, with associations with maternal mood disorders being most consistent. This systematic review shows that maternal sleep problems in the periconceptional period are associated with a higher risk of various adverse outcomes in both mother and offspring, although not consistently. It shows that good sleep during pregnancy is crucial, starting as early as before conception, especially for maternal mood. Therefore, it is important for clinicians to pay attention to sleep problems in the periconceptional period and provide adequate treatment for potential sleep problems, even before pregnancy.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Maternal Sleep Problems in the Periconceptional Period and the Impact on Health of Mother and Offspring: A Systematic Review

et al. 2022

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“…Okano et al reported that the sensitivity and specificity were 75% and 93%, respectively, with a cut‐off score of ≥9 points in the Japanese version of the EPDS 26 . Therefore, we defined the cut‐off total EPDS score as ≥9 points (EPDS high score group [EPDS score ≥9 points] and EPDS low score group [EPDS score <9 points]), as previously reported 27 . Screening for PPD based on the EPDS was routinely conducted at 4 weeks postpartum in all hospitals.…”

Section: Methodsmentioning

confidence: 99%

“…26 Therefore, we defined the cutoff total EPDS score as ≥9 points (EPDS high score group [EPDS score ≥9 points] and EPDS low score group [EPDS score <9 points]), as previously reported. 27 Screening for PPD based on the EPDS was routinely conducted at 4 weeks postpartum in all hospitals. However, the starting time of collecting EPDS differed according to the hospitals (three hospitals in 2014, two hospitals in 2015, four hospitals in 2016, two hospitals in 2017, and one hospital in 2018).…”

Section: Edinburgh Postnatal Depression Scalementioning

confidence: 99%

Machine learning prediction models for postpartum depression: A multicenter study in Japan

Matsuo

Ushida

Emoto

et al. 2022

J of Obstet and Gynaecol

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Aim Postpartum depression (PPD) and perinatal mental health care are of growing importance worldwide. Here we aimed to develop and validate machine learning models for the prediction of PPD, and to evaluate the usefulness of the recently adopted 2‐week postpartum checkup in some parts of Japan for the identification of women at high risk of PPD. Methods A multicenter retrospective study was conducted using the clinical data of 10 013 women who delivered at ≥35 weeks of gestation at 12 maternity care hospitals in Japan. PPD was defined as an Edinburgh Postnatal Depression Scale score of ≥9 points at 4 weeks postpartum. We developed prediction models using conventional logistic regression and four machine learning algorithms based on the information that can be routinely collected in daily clinical practice. The model performance was evaluated using the area under the receiver operating characteristic curve (AUROC). Results In the machine learning models developed using clinical data before discharge, the AUROCs were similar to those in the conventional logistic regression models (AUROC, 0.569–0.630 vs. 0.626). The incorporation of additional 2‐week postpartum checkup data into the model significantly improved the predictive performance for PPD compared to that without in the Ridge regression and Elastic net (AUROC, 0.702 vs. 0.630 [p < 0.01] and 0.701 vs. 0.628 [p < 0.01], respectively). Conclusions Our machine learning models did not achieve better predictive performance for PPD than conventional logistic regression models. However, we demonstrated the usefulness of the 2‐week postpartum checkup for the identification of women at high risk of PPD.

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“…However, very few studies have investigated the relationship between pre-pregnancy sleep and postpartum depression. In one such study, short pre-pregnancy sleep duration was reported to be a predictor of postpartum depression [20] . Particularly among multiparous women, a higher risk of postpartum depression has been reported when pre-pregnancy sleep duration is less than 6 hours [20] .…”

Section: Introductionmentioning

confidence: 99%

Impact of pre-pregnancy and pregnancy sleep on the risk of postpartum depression in the Japan Environment and Children’s Study

Suetsugu,

Michikawa,

Morokuma

et al. 2024

Preprint

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This study aimed to determine the longitudinal effects of pre-pregnancy and pregnancy sleep on maternal depression at one month postpartum, stratified by parity. We used data from the Japan Environment and Children’s Study, a cohort study that registered 103,060 pregnancies between 2011 and 2014. A total of 76,977 women were included in this study and were asked about their sleep pre-pregnancy and during pregnancy, and whether they had postpartum depression. We found that those who slept 8–9 hours in pre-pregnancy had slightly lower odds of postpartum depression compared with those who slept 7–8 hours (odds ratio OR = 0.92, 95% confidence interval CI:0.87–0.99), and those who had bedtimes other than 9 p.m. to 3 a.m. had increased OR compared with those who had bedtimes between 9 p.m. and midnight (OR = 1.14, 95% CI:1.00–1.31). During pregnancy, those who slept less than 6 hours and whose bedtime was other than 9 p.m. to 3 a.m. had increased ORs of postpartum depression (OR = 1.21, 95% CI:1.09–1.31; OR = 1.25, 95% CI:1.08–1.45, respectively). Poor sleep quality during pre-pregnancy and pregnancy increased the odds of postpartum depression. To prevent postpartum depression, it is important for women to have good sleep from pre-pregnancy.

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Pre-pregnancy sleep duration and postpartum depression: a multicenter study in Japan

Cited by 5 publications

References 49 publications

Maternal Sleep Problems in the Periconceptional Period and the Impact on Health of Mother and Offspring: A Systematic Review

Maternal Sleep Problems in the Periconceptional Period and the Impact on Health of Mother and Offspring: A Systematic Review

Machine learning prediction models for postpartum depression: A multicenter study in Japan

Impact of pre-pregnancy and pregnancy sleep on the risk of postpartum depression in the Japan Environment and Children’s Study

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