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Background Women of childbearing age are at high risk of developing depression and antenatal depression is one of the most common mood disorders. Antenatal depression is also associated with a number of poor maternal and infant outcomes, however, there remains a lack of focus on mental issues in antenatal care, particularly in lower income countries. This systematic review of reviews provides useful evidence regarding the burden of antenatal depression which may provide guidance for health policy development and planning. Methods We searched CINAHL(EBSCO), MEDLINE (via Ovid), PsycINFO, Emcare, PubMed, Psychiatry Online, and Scopus databases for systematic reviews that based on observational studies that were published in between January 1st, 2007 and August 31st, 2018. We used the Assessment of Multiple Systematic Reviews (AMSTAR) checklist scores to assess the quality of the included reviews. We applied vote counting and narrative review to summarize the prevalence of antenatal depression and its associated factors, while statistical pooling was conducted for estimating the association of antenatal depression with low birth weight and preterm birth. This systematic review of reviews was registered on PROSPERO with protocol number CRD42018116267. Results We have included ten reviews (306 studies with 877,246 participants) on antenatal depression prevalence and six reviews (39 studies with 75,451 participants) conducted to identify the effect of antenatal depression on preterm and low birth weight. Globally, we found that antenatal depression prevalence ranged from 15 to 65%. We identified the following prominent risk factors based on their degree of influence: Current or previous exposure to different forms of abuse and violence (six reviews and 73 studies); lack of social and/or partner support (four reviews and 47 studies); personal or family history of any common mental disorder (three reviews and 34 studies). The risk of low birth weight and preterm birth was 1.49 (95%CI: 1.32, 1.68; I 2  = 0.0%) and 1.40 (95%CI: 1.16, 1.69; I 2  = 35.2%) times higher among infants born from depressed mothers. Conclusions Globally, antenatal depression prevalence was high and could be considered a common mental disorder during pregnancy. Though the association between antenatal depression and adverse birth outcomes appeared to be modest, its absolute impact would be significant in lower-income countries with a high prevalence of antenatal depression and poor access to quality mental health services.

Depression during pregnancy and after the birth of a child is highly prevalent and an important public health problem. Psychological interventions are the first-line treatment and, although a considerable number of randomized trials have been conducted, no recent comprehensive meta-analysis has evaluated treatment effects. We used an existing database of randomized controlled trials of psychotherapies for adult depression and included studies aimed at perinatal depression. Random effects models were used in all analyses. We examined the effects of the interventions in the short and long term, and also examined secondary outcomes. Forty-three studies with 49 comparisons and 6270 participants between an intervention and control group were included. The overall effect size was = 0.67 [95% confidence interval (CI) 0.45~0.89; numbers needed-to-be-treated = 4.39] with high heterogeneity ( = 80%; 95% CI 75~85). This effect size remained largely unchanged and significant in a series of sensitivity analyses, although some publication bias was found. The effects remained significant at 6-12 months follow-up. Significant effects were also found for social support, anxiety, functional limitations, parental stress and marital stress, although the number of studies for each outcome was low. All results should be considered with caution because of the high levels of heterogeneity in most analyses. Psychological interventions are probably effective in the treatment of perinatal depression, with effects that last at least up to 6-12 months and probably also have effects on social support, anxiety, functional impairment, parental stress, and marital stress.

Background Pregnancy and the arrival of a new baby is a time of great transition and upheaval. Women often experience social isolation and loneliness at this time and may develop depression, particularly in the postnatal period. Qualitative studies have reported that loneliness is also a feature of perinatal depression. However, until now there has been no attempt to synthesise research exploring the links between loneliness and perinatal depression. This study’s aim was to explore existing qualitative evidence to answer two research questions: What are the experiences of loneliness for women with perinatal depression? What helps and what makes loneliness worse for women with perinatal depression? Methods A qualitative meta-synthesis retrieved primary qualitative studies relevant to the research questions. Four electronic databases were systematically searched (Ovid MEDLINE®; PsycINFO; Embase; Web of Science). Papers were screened according to pre-defined inclusion criteria and assigned a quality score. Thematic analysis was used to identify major overarching themes in the literature. Results Twenty-seven relevant qualitative studies were included. Themes relating to the interaction between perinatal depression and loneliness included self-isolation and hiding symptoms due to stigma of perinatal depression and fear of judgement as a ‘bad mother’; a sudden sense of emotional disconnection after birth; and a mismatch between expected and actual support provided by partner, family and community. There was also a double burden of loneliness for women from disadvantaged communities, due to increased stigma and decreased social support. Validation and understanding from healthcare professionals, peer support from other mothers with experience of perinatal depression, and practical and emotional family support were all important factors that could ameliorate loneliness. Conclusions Loneliness appears to play a central role in the experience of perinatal depression based on the frequency with which it emerged in women’s accounts. The findings provide a foundation for the development of further theories about the role of loneliness in perinatal depression and evidence in which future psychological and social intervention design processes can be rooted. Addressing stigma and offering culturally appropriate professional and peer support are potential targets for interventions that could help women with perinatal depression, particularly in disadvantaged communities, feel less lonely. Trial registration Prospero registration: https://www.crd.york.ac.uk/prospero/display_record.php? RecordID = 251,936.

Background Women with antenatal depression often have a higher risk of developing postpartum depression (PPD) after delivery. A number of factors associated with the PDD in those previously reporting antenatal depression have been suggested, but further research is needed. This study aimed to investigate factors associated with developing subsequent postnatal depression in women who had screened positive for antenatal depression. Methods This study was carried out in Hangzhou women’s Hospital. 578 women who experienced antenatal depression from this cohort were enrolled in this study. The sociodemographic and clinical characteristics of the participants were collected and tabulated against the incidence of postnatal depression. Binary logistic regression was used to estimate the effects of the principal underlying variables. The Chinese-version Edinburgh Postnatal Depression Scale (EPDS) was used to screen for PPD. Antenatal screening for depression was conducted at 28–34 weeks during pregnancy and postpartum depressive symptoms were assessed at 6 weeks after childbirth in the women. Path Analysis of Structural Equation Model (SEM) was employed to explore the direct, indirect, and total effects of risk factors of PPD. Results 57.6% (n = 333) of the participants subsequently developed PPD in our study. The results of the logistic analysis indicated that ages ≤ 35 years old (OR = 1.852; 95%CI: 1.002–3.423), non-one-child families (OR = 1.518; 95%CI: 1.047-2.200), and rare care from partner during pregnancy (OR = 2.801; 95%CI: 1.038–7.562), the antenatal EPDS score (OR = 1.128; 95%CI: 1.052–1.209), pyrexia during pregnancy (OR = 2.43; 95%CI: 1.358–4.345), fairly good (OR = 1.836; 95%CI: 1.009–3.340), fairly bad (OR = 3.919; 95%CI:2.072–7.414) and very bad postpartum sleep quality (OR = 9.18; 95%CI: 2.335–36.241) were associated with increased risk of PPD (compared to very good postpartum sleep quality). In path analysis model, antenatal EPDS score (standardized total β = 0.173) and pyrexia during pregnancy (standardized total β = 0.132) had both direct and indirect effects (the impact on outcome variables needs to be determined through other variables) on PPD. Sleep quality after delivery (standardized β = 0.226) and one-child family (standardized β = 0.088) had direct effects only on PPD. Conclusion The results from our study indicated that more than 50% of the women who experienced antepartum depression would subsequently develop PPD. Depressive symptoms and pyrexia during pregnancy increase PPD scores, and these effects were in part mediated via poor sleep quality during the postpartum period.

ObjectiveTo estimate the prevalence of antenatal depression in South Asia and to examine variations by country and study characteristics to inform policy, practice and future research.MethodsWe conducted a comprehensive search of 13 databases including international databases and databases covering scientific literature from South Asian countries in addition to Google Scholar and grey sources from 1 January 2007 to 31 May 2018. Studies reporting prevalence estimates of antenatal depression using a validated diagnostic/screening tool were identified, screened, selected and appraised. Primary outcome was proportion (%) of pregnant women identified as having antenatal depression.ResultsThirty-three studies involving 13 087 pregnant women were included in the meta-analysis. Twelve studies were rated as high quality and 21 studies were of moderate quality. Overall pooled prevalence of antenatal depression was 24.3 % (95% Confidence Interval (CI) 19.03 to 30.47). Studies showed a high degree of heterogeneity (I2=97.66%) and evidence of publication bias (p=0.668). Prevalence rates for India (17.74%, 95% CI 11.19 to 26.96) and Sri Lanka (12.95%, 95% CI 8.29 to 19.68) were lower compared with the overall prevalence, whereas prevalence rates for Pakistan (32.2%, 95% CI 23.11 to 42.87) and Nepal (50%, 95% CI 35.64 to 64.36) were higher.ConclusionsWhile robust prevalence studies are sparse in most South Asian countries, available data suggest one in four pregnant women is likely to experience antenatal depression in the region. Findings highlight the need for recognition of the issue in health policy and practice and for resource allocation for capacity building at regional and national levels for prevention, diagnosis and treatment.

Background Antenatal depression and anxiety symptoms may have negative consequences for both mothers and offspring, and upward trends in the prevalence of these symptoms were especially apparent during the COVID-19 epidemic. The purpose of this study was to evaluate the prevalence of and relevant factors influencing depressive and anxiety symptoms in Chinese pregnant women in the post-COVID-19 era. Methods We conducted an online survey of 1,963 pregnant women in Jiangsu Province, using a cross-sectional design, and collected their general demographic data. The nine-item Patient Health Questionnaire 9 (PHQ-9) was used to evaluate depression symptoms, and the seven-item Generalized Anxiety Disorder 7 (GAD-7) was used to measure anxiety symptoms. Results The prevalence of reported antenatal depressive symptoms, anxiety symptoms, and depression combined with anxiety symptoms was 25.2%, 27.9%, and 18.6%, respectively. Of the respondents, the prevalence of moderate to severe depression, and anxiety was 7.9% and 7.7%, respectively. Binary logistic regression analysis demonstrated that age, low level of education, rural area, unemployment, pregnancy complications, poor marital relationship, and fair household income were positively association with both depressive and anxiety symptoms (all P  < 0.05). The proportion of women reporting anxiety symptoms in the third trimester was 1.91-fold higher than in first trimester. Parity was a relevant factor for depression and anxiety symptoms (all P  < 0.05). Conclusions In the post-COVID-19 era, the prevalence of depression and anxiety symptoms in pregnant women was higher than expected, and it is vital to establish hospital, community, and family psychological health screening systems based on relevant factors and enhance early preventive measures.

Background Antenatal depression, especially moderate-to-severe depression, is associated with adverse maternal and infant health outcomes and is affected by multiple psychosocial factors. However, the cumulative effects of psychosocial determinants and trajectories of antenatal depression are underappreciated. This study aimed to investigate the cumulative effects of various psychosocial determinants on antenatal moderate-to-severe depressive symptoms (MSD) based on the polysocial risk score (PsRS), to identify trajectories of MSD based on group-based trajectory modeling (GBTM), and to explore the association between the PsRS and diverse trajectories. Methods A retrospective cohort study was conducted among 21,336 pregnant women in Shenzhen, China, from 2020 to 2023. Antenatal depressive symptoms were assessed by the Patient Health Questionnaire-9 (PHQ-9) across three pregnancy trimesters. The PsRS was selected and calculated by counting established social determinants from four social risk domains, including socioeconomic status, lifestyle behaviors, psychosocial factors, and living conditions. GBTM was employed to identify distinct trajectories of depressive symptoms. Multinomial logistic regression investigated the relationship between PsRS and diverse trajectories. Results Of women, 9.1% experienced at least one episode of MSD across three pregnancy trimesters. An intermediate PsRS and a high PsRS were associated with higher risks of MSD during pregnancy, with the adjusted hazard ratios being 1.99 (95% CI, 1.71–2.31) and 4.44 (95% CI, 3.81–5.17), respectively, compared with those with a low PsRS. GBTM identified five distinct trajectories of antenatal depressive symptoms: persistent MSD, resolving MSD, chronic mild, resolving mild, and no depressive symptoms. Above all trajectories, persistent MSD demonstrated the highest PSRS scores and risk gradients. Conclusions This study provides a practical basis for integrating early polysocial risk screening into routine prenatal care, enabling the timely identification and targeted support of high-risk pregnant women. These findings underscore the need for incorporating comprehensive social risk assessment into maternal health policies and intervention programs to improve mental health outcomes across pregnancy.

Maternal antenatal depression (AD) is a nonpsychotic depressive episode during pregnancy that can harm both the pregnant woman and the fetus. This study aimed to investigate the intrinsic interrelationships between AD and its influencing factors by constructing a path model. This survey-based cross-sectional study included 1071 pregnant women who underwent pregnancy examinations in three hospitals in Nantong City, China, between February and June 2023. General information and information regarding maternal AD, pregnancy stress, prenatal anxiety, social support, marital satisfaction, sleep quality, and resilience were collected. Multiple linear regression analysis using SPSS 25.0 was employed to determine the factors influencing pregnancy depression, and Amos25.0 was used to construct a structural equation model. AD incidence was 19.4% (208/1071). The independent risk factors affecting AD in pregnant women have been integrated into the established path analysis model. The model demonstrated a good fit (χ 2 /DF = 1.238, comparative fit index = 0.999, goodness-of-fit index = 0.998, normed fit index = 0.996, adjusted goodness-of-fit index = 0.990, incremental fit index = 0.999, and root mean square error of approximation = 0.015). While prenatal anxiety (0.230) and hyperthyroidism (0.048) only had direct effects on AD, mental resilience was the biggest factor affecting AD, followed by pregnancy stress, marital satisfaction, prenatal anxiety, sleep quality, social support, and hyperthyroidism. Improved mental resilience, social support, sleep quality, and marital satisfaction; reduced pregnancy stress and prenatal anxiety; and effective hyperthyroidism treatment might reduce AD. This study underscored the significance of delivering actionable strategies and tangible assistance to pregnant women to reduce AD.

Background Perinatal depression is a significant public health issue affecting one in four women globally. It occurs at a critical time of a woman’s life; affecting her relationships with family, and child’s emotional, behavioral, and cognitive development. Considering the burden of the problem to the whole family, this systematic review and meta-analysis was conducted to estimate the pooled prevalence of perinatal depression and its determinants in Ethiopia to provide up-to-date evidence at a national level. Methods All observational studies conducted on perinatal depression in Ethiopia were included based on the selection criteria. Data was extracted using Microsoft Excel and then exported to STATA version-11 for analysis. The random-effects model was employed to estimate the pooled effect size of perinatal depression and its determinants with 95% confidence intervals. Funnel plots analysis and Egger regression tests were conducted to check the publication bias. Sub-group and sensitivity analyses were also performed. Results This systematic review and meta-analysis included thirty studies and the pooled prevalence of perinatal depression in Ethiopia was 24.29% (95% CI (21.98, 26.59)). According to the subgroup analysis, the pooled prevalence of antenatal depression and others (postnatal and perinatal depression) was 24.24% and 24.52% respectively. Regarding determinants of perinatal depression, having unplanned pregnancy [OR = 3.04 (2.2, 4.2)], intimate partner violence [OR = 3.09(2.14, 4.46)], poor social support [OR = 3.3(2.38, 4.57)], and a history of depression [OR = 3.68(2.45, 5.52)] were significantly associated with depression. Conclusion and recommendation This study showed that the pooled prevalence of perinatal depression in Ethiopia was found to be high. To ensure the mental health of both the mother and child, health professionals should routinely screen perinatal women for depression giving special focus for those with a history of depression and managing them accordingly.

This study was conducted in order to evaluate the prevalence and risk of mental disorders in the perinatal period among migrant women. Six databases (including MEDLINE) were searched from inception to October 19th, 2015, in addition to citation tracking. Studies were eligible if mental disorders were assessed with validated tools during pregnancy and up to 1 year postpartum among women born outside of the study country. Of 3241 abstracts screened, 53 met the inclusion criteria for the review. Only three studies investigated a mental disorder other than depression. Unadjusted odds ratios were pooled using random effects meta-analysis for elevated depression symptoms during pregnancy ( n  = 12) and the postpartum ( n  = 24), stratified by study country due to heterogeneity. Studies from Canada found an increased risk for antenatal (OR = 1.86, 95% CIs 1.32–2.62) and postnatal elevated depression symptoms (OR = 1.98, 95% CIs 1.57–2.49) associated with migrant status. Studies from the USA found a decreased risk of antenatal elevated depression symptoms (OR = 0.71, 95% CIs 0.51–0.99), and studies from the USA and Australia found no association between migrant status and postnatal elevated depression symptoms. Low social support, minority ethnicity, low socioeconomic status, lack of proficiency in host country language and refugee or asylum-seeking status all put migrant populations at increased risk of perinatal mental disorders.