Predictive models for predicting the risk of maternal postpartum depression: A systematic review and evaluation

Qi, Weijing; Wang, Yongjian; Li, Caixia; He, Ke; Wang, Yipeng; Liu, Cong; Guo, Qi; Hu, Jie

doi:10.1016/j.jad.2023.04.026

Cited by 4 publications

(4 citation statements)

References 34 publications

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“…Third, daily social support was not included as a covariate in this study. Sleep during pregnancy is associated with marital and social support [35,36] , and a lack of social support during pregnancy has also been reported to be a risk factor for postpartum depression [8,9] . Therefore, further research including daily social support as a covariate is needed.…”

Section: Limitationsmentioning

confidence: 99%

“…Factors associated with postpartum depression include physical characteristics, psychosocial and family background, psychiatric history, nutrition, sleep, baby status, experiences during pregnancy and delivery, mode of delivery, medical interventions, and complications; such as age, obesity and overweight, marital status, violence and abuse, immigration status, race, depressive history, vitamin D de ciency, sleep disruption and poor sleep, life events during pregnancy, lack of social support, parity, cesarean section, multiple births, preterm and low-birth-weight infants, negative birth experience, and postpartum anemia [8,9] . Among these risk factors, in particular, that poor postpartum sleep quality is a predictor of depressive symptoms [10,11] .…”

Section: Introductionmentioning

confidence: 99%

“…In addition, there is a dearth of studies clarifying the temporal association between sleep, before and during pregnancy, and postpartum depression. Furthermore, there is a dearth of longitudinal studies clarifying this relationship strati ed by parity, although it is important predictor of postpartum depression [8,9] .…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, this study aimed to determine the effects of pre-pregnancy and during-pregnancy sleep on maternal depression at one month postpartum using a prospective cohort design. It also clari es the characteristics of parity as parity is one of the causes of depression [8,9] and considers how to support based on parity. These ndings will allow us not only to screen for women at high risk for postpartum depression due to poor sleep quality during pregnancy and implement timely preventive interventions, but also to provide suggestions for preconception care concerning sleep to prevent postpartum depression in women before they become pregnant.…”

Section: Introductionmentioning

confidence: 99%

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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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Section: Limitationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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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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Mental disorders during pregnancy and postpartum in Bangladesh: A narrative review

Arafat,

Rajkumar

2024

Health Science Reports

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Background and AimsBangladesh has made significant progress in declining maternal mortality in recent decades. However, the available evidence on the various maternal mental disorders in the country has not been comprehensively and critically reviewed to date. This narrative review aimed to assess the mental disorders and associated factors during pregnancy and postpartum in Bangladesh.MethodsA thorough search was performed in PubMed, Scopus, Google, Google Scholar, and BanglaJOL with search terms at the end of January 2024 to identify the original articles published on psychiatric morbidities during pregnancy and postpartum.ResultsThis review included 28 empirical studies published between 2007 and 2023 with a sample size ranging from 100 to 39,434. Two studies were published before 2010, 16 studies were published between 2011 and 2020, and 10 studies were published between 2021 and 2023. No countrywide study was noted, the Bangla Edinburgh Postnatal Depression Scale (EPDS‐B) was used in 57% of studies, suicidal behavior was assessed in three studies, postpartum depression (PPD) was featured in 16 studies, and three qualitative studies were noted. The prevalence of PPD ranged from 9% to 51.7%. About 46% of mothers had positive scores for common mental disorders. The prevalence of mental disorders was 14.2%; among them mood disorders were present at 6.1% and psychoses were noted at 4.5%.ConclusionsThere are wide variations in the prevalence of maternal mental disorders in Bangladesh from study to study; a lower prevalence was noted when diagnostic tools were used even though no nationwide study with confirmatory diagnostic tools was noted. Studies with nationwide distribution and diagnostic tools are warranted to understand the problem precisely.

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The HOPE cohort: cohort profile and evaluation of selection bias

Zacher Kjeldsen,

Mægbæk,

Liu

et al. 2024

Eur J Epidemiol

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The HOPE cohort is a Danish nationwide cohort with ongoing follow-up, holding information on postpartum depression (PPD) symptoms and diagnoses on 170,218 childbirths (142,795 unique mothers). These data have been linked with extensive register data on health and socioeconomic information on the mothers, their partners, parents, and children. This cohort profile aimed to provide an overview of the data collection and content, describe characteristics, and evaluate potential selection bias. PPD screenings, using the Edinburgh Postnatal Depression Scale, were collected from 67 of the 98 Danish municipalities, covering the period January 2015 to December 2021. This data was linked with register data on PPD diagnoses (identified through medication prescriptions and hospital contacts) as well as background information. Cohort characteristics were compared to the source population, defined as all childbirths by women residing in Denmark during the same period (452,207 childbirths). Potential selection bias was evaluated by comparing odds ratios of five well-established associations between the cohort and the source population. The HOPE cohort holds information on 170,218 childbirths (38% of the source population) involving 142,795 unique mothers. The HOPE cohort only differed slightly from the source population on most characteristics examined, but larger differences were observed on specific characteristics with an underrepresentation of the youngest and oldest age groups, women with more than three children or twins/triplets, and women born outside Denmark. Similar associations were identified across the two populations within the five well-established associations. There was no indication of selection bias on the five examined associations, and the HOPE cohort is representative of the source population on important perinatal characteristics.

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Predictive models for predicting the risk of maternal postpartum depression: A systematic review and evaluation

Cited by 4 publications

References 34 publications

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

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

Mental disorders during pregnancy and postpartum in Bangladesh: A narrative review

The HOPE cohort: cohort profile and evaluation of selection bias

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