Trajectories and Depressive Symptoms During the Perinatal Period: A Longitudinal Population-Based Study in China

Implications of childhood adversity for women's perinatal sleep quality and depressive symptoms over time: A serial mediation model

This study sought to examine the effects of childhood adversity on the longitudinal associations between perinatal sleep quality and depressive symptoms, and to determine the prospective associations between these constructs over time. A cross-lagged autoregressive model was used to examine the longitudinal association between sleep quality and depressive symptoms at four points during the perinatal period: 18 and 32 weeks of pregnancy, and 6 and 12 weeks postpartum. Longitudinal mediation models were used to examine whether sleep quality or depressive symptoms mediated the effects of childhood adversity on these symptoms. Most participants (86%) reported poor sleep quality during pregnancy. Significant cross-lagged effects of depressive symptoms on subsequent sleep quality were observed during pregnancy and postpartum. Depressive symptoms significantly mediated the effects of childhood trauma on sleep quality during pregnancy, but sleep quality did not significantly mediate the effects of childhood trauma on depressive symptoms. While sleep quality and depressive symptoms tend to co-occur, our analyses indicate that perinatal depressive symptoms work as the primary driver of sleep quality over time. Childhood adversity may have long-reaching effects in women as it was associated with more depressive symptoms in the perinatal period, which in turn appeared to undermine sleep quality.

Influencing factors of sleep quality in pregnant: a structural equation model approach

BACKGROUND

To describe the changes in the level of sleep quality during pregnancy among pregnant women in Urumqi; also to construct a structural equation model of the factors influencing the sleep quality of pregnant women, to analyze the path relationship between the influencing factors, and to take reasonable interventions to prevent and reduce the occurrence of sleep disorders among pregnant women.

METHODS

986 pregnant women who gave birth in Urumqi Maternal and Child Health Hospital and Urumqi Youai Hospital between August 2021 and May 2023 were selected. The Pittsburgh Sleep Quality Index (PSQI), Self-Rating Anxiety Scale (SAS), and Edinburgh Postpartum Depression Scale (EPDS) were used to assess the sleep, anxiety, and depression of pregnant women, Building a structural equation model based on AMOS 23.0 Tools.

RESULTS

The results of structural equation modeling showed that: basic characteristics, obstetrical characteristics, tocolysis, lifestyle, psychological had a direct effect on the PSQI, with path coefficients of 0.243, 0.106, 0.140, 0.174, 0.658, the corresponding T-values for each path are 4.585, 2.677, 2.578, 2.297, and 9.036. The indirect effect of basic characteristics, obstetric characteristics and lifestyle on PSQI was 0.123, 0.020, 0.027.

CONCLUSIONS

The high incidence of sleep disorders in pregnant women and their close association with psychological symptoms in pregnant women should focus on screening and counseling regarding psychological disorders in pregnant women, thus improving the quality of sleep in pregnant women.

Screening, Assessment, and Treatment of Perinatal Mental Health in Obstetrical Settings

Perinatal mood and anxiety disorders (PMADs) are common, yet obstetricians receive little training prior to independent practice on screening, assessing, diagnosing, and treating patients with depression and anxiety. Untreated PMADs lead to adverse pregnancy and fetal outcomes. Obstetricians are in a unique position to address PMADs. The following serves as a resource for addressing PMADs in obstetric practice.

The magnitude of perinatal depression and associated factors among women in Kutaber woreda public health institution and Boru Meda general hospital, Ethiopia, 2022: a cross-sectional study

Background

Perinatal depression, characterized by the presence of depressive symptoms during pregnancy and/or within the first 12 months postpartum, poses a significant global public health concern. It contributes to a multitude of health risks for mothers, their infants, and their families. Understanding of perinatal depression and its associated factors is crucial for effective prevention and intervention strategies. However, there is a lack of comprehensive research on this topic in Ethiopia. Therefore, this study aims to determine the prevalence and factors contributing to perinatal depression among Ethiopian women.

Methods

An institutional-based cross-sectional study was conducted, involving 552 women receiving perinatal services at Kutaber district health institution and Boru Meda General Hospital. Study participants were selected through systematic random sampling techniques. Perinatal depression was assessed using the Depression, Anxiety, and Stress Scale-21 (DASS-21). The associations between various determinants and perinatal depression were examined using binary logistic regression, and factors with a p-value of less than 0.2 were included in the multiple logistic regression analysis. A p-value less than 0.05 was considered statistically significant.

Results

The prevalence of perinatal depression was found to be 32.2%. The prevalence of perinatal depression was found to be 32.2%. Factors significantly associated with perinatal depression included being a student [adjusted odds ratio (AOR) = 4.364, 95% confidence interval (CI): 1.386, 13.744], experiencing excessive pregnancy-related concerns (AOR = 1.886, 95% CI: 1.176, 3.041), past substance use (AOR = 2.203, 95% CI: 1.149, 4.225), the presence of anxiety symptoms (AOR = 3.671, 95% CI: 2.122, 6.352), experiencing stress symptoms (AOR = 6.397, 95% CI: 3.394-12.055), and daytime sleepiness (AOR = 2.593, 95% CI: 1.558, 4.316).

Conclusion

The findings of this study indicate a relatively high prevalence and valuable factors associated with perinatal depression. It highlights the need for a comprehensive approach to perinatal mental health that takes into account not only the biological aspects of pregnancy but also the psychological, social, and lifestyle factors that can impact a person's mental well-being during this critical period.

Postpartum Insomnia and Poor Sleep Quality Are Longitudinally Predictive of Postpartum Mood Symptoms

OBJECTIVE

Insomnia and poor sleep quality are frequently reported by perinatal women. Both are noted to increase the risk of postpartum depression, with less known about their association with postpartum anxiety. This study sought to assess whether perinatal sleep disturbances predicted depression and anxiety symptoms across each month of the first 6 months postpartum in women with a history of depression.

METHODS

Pregnant women without active depression at enrollment ( N = 159), 18 to 45 years of age, were recruited. In late pregnancy and for up to 6 months postpartum, women completed monthly online questionnaires including the Insomnia Symptom Questionnaire, Pittsburgh Sleep Quality Index, Edinburgh Postnatal Depression Scale, and Generalized Anxiety Disorder-7. Repeated-measures multilevel models were used to predict depression and anxiety across the postpartum.

RESULTS

The prevalence of insomnia was 20.4%, and the prevalence of poor sleep quality was 67.8% across the first 6 months postpartum. Postpartum insomnia and poor sleep quality at the between-subject and within-subject levels tended to uniquely predict greater depressive and anxiety symptoms, even after controlling for demographic characteristics, prenatal insomnia, and prenatal poor sleep quality.

CONCLUSIONS

Most of the women in our sample had sleep disturbances across the perinatal period. Consistent with the extant literature, postpartum insomnia and poor sleep quality, but not prenatal measures of sleep, longitudinally predicted greater postpartum depression and anxiety symptoms. The chronic sleep deprivation of insomnia and the subjective experience of poor sleep quality are uniquely relevant risks of postpartum mood disorders. Evaluation and mitigation of perinatal sleep disturbance are ideal opportunities to reduce postpartum mood disorders and subsequent health outcomes.

Trajectories of reproductive transition phase mood disorder from pregnancy to postpartum: A Swiss longitudinal study

BACKGROUND

Depressive symptoms are common in the peripartum period and pose a great risk to the well-being of the mother, the infant, and the entire family. Evidence from longitudinal studies suggests that affected women do not constitute one homogeneous group in terms of severity, chronicity, and onset of symptoms. To account for individual differences regarding the longitudinal course of depressive symptoms from pregnancy to the postpartum period, growth mixture models have proven to be useful.

METHODS

We conducted a group-based trajectory modeling analysis to identify perinatal depressive symptom trajectories in a Swiss sample (n = 151). Depressive symptoms were assessed six times, covering nearly 6 months from the third trimester of pregnancy to 3 months postpartum. In addition to determining perinatal depressive symptom trajectories, we aimed to examine whether these trajectories are linked to psychopathological risk factors such as a history of premenstrual syndrome (PMS), anxiety, prenatal stress, and somatic symptoms after delivery that are associated with hormonal fluctuations.

RESULTS

The findings revealed three trajectories of perinatal depressive symptoms that were relatively stable over time and differed in symptom load (low, medium, high), as well as one trajectory of decreasing symptoms, with a significant symptom reduction after giving birth. Women with a higher depressive symptom load experienced a greater degree of prior premenstrual symptoms, prenatal anxiety, and birth anxiety, as well as somatic symptoms after delivery.

CONCLUSION

Further research is needed to account for the distinct trajectories of perinatal depressive symptoms in order to provide appropriate care for affected women. A focus on somatic symptoms after delivery and their association with depressive mood is essential to better understand the potential shared etiopathology of reproductive transition phase mood disorders.

Association between sleep disorders during pregnancy and risk of postpartum depression: a systematic review and meta-analysis

Sleep disorders are common among pregnant females. However, its association with postpartum depression (PPD) is unknown. We aimed to assess if sleep disorders during pregnancy increase the risk of PPD by a systematic review. The databases of PubMed, CENTRAL, ScienceDirect, Embase, and Google Scholar were searched for studies reporting the association between any type of sleep disorder during pregnancy and the risk of PPD. Effect sizes were pooled in a random-effects model. Sixteen studies with data of 12,614 women were included. Meta-analysis indicated that sleep disorders during pregnancy resulted in a statistically significant increased risk of PPD (OR: 2.36 95% CI: 1.72, 2.32). The overall result had high heterogeneity (I² = 84%). Sub-group analysis based on study location (Asian vs Western), sample size (> 500 vs < 500), depression scale, and PPD assessment time did not change the results. However, we found that only poor sleep quality but not insomnia was associated with PPD. The risk was also increased only with sleep disorders measured in the 3rd trimester but not for the 1st and 2nd trimesters. Evidence suggests that sleep disorders during pregnancy may increase risk of PPD. The risk is high for sleep disorders occurring in the 3rd trimester. Based on these findings, there is a need for thorough screening and subsequent corrective measures to ensure adequate and quality sleep among pregnant females.