Prevalence and factors associated with antenatal depressive symptoms across trimesters: a study of 110,584 pregnant women covered by a mobile app-based screening programme in Shenzhen, China.

BACKGROUND: Antenatal depression is a significant public health issue affecting pregnant women both globally and in China. Using data from a mobile app-based screening programme, this study explored the prevalence and factors associated with antenatal depressive symptoms across different trimesters in Shenzhen. METHODS: A retrospective cross-sectional study was conducted on pregnant women who gave birth in any hospital in Shenzhen between July 2021 and May 2022 and underwent depression screening using an official maternal and infant health mobile app at least once during pregnancy. Depressive symptoms were evaluated using the 9-item Patient Health Questionnaire (PHQ-9), with cut-off scores of 5 and 10 for mild and high level of symptoms, respectively. The prevalence for each trimester was determined by calculating the proportion of women scoring 5 or higher. A variety of sociodemographic, obstetric, psychological, and lifestyle factors were assessed for their association with depressive symptoms. Chi-square test and multivariate logistic regression were performed to identify significant predictors. RESULTS: A total of 110,584 pregnant women were included in the study, with an overall prevalence of depressive symptoms of 18.0% and a prevalence of high-level symptoms of 4.2%. Depressive symptoms were most prevalent in the first trimester (10.9%) and decreased in the second (6.2%) and third trimesters (6.3%). Only a small proportion (0.4%) of women showed persistent depressive symptoms across all trimesters. Anxiety symptoms in early pregnancy emerged as the most significant predictor of depressive symptoms. Other factors linked to an increased risk throughout pregnancy include lower marital satisfaction, living with parents-in-law, experience of negative life events, as well as drinking before and during pregnancy. Factors associated with a reduced risk throughout pregnancy include multiparity and daily physical activity. CONCLUSIONS: This large-scale study provides valuable insights into the prevalence and factors associated with antenatal depressive symptoms in Shenzhen. The findings underscore the need for targeted interventions for high-risk groups and the integration of mental health care into routine antenatal services. Continuous, dynamic monitoring of depressive symptoms for pregnant women and ensuring at-risk women receive comprehensive follow-up and appropriate psychological or psychiatric care are crucial for effectively addressing antenatal depression and improving maternal and infant health outcomes.

The impact of relationship factors on antenatal depression in the context of the COVID-19 pandemic.

BACKGROUND: Antenatal depression is the most prevalent pregnancy-associated mental health disorder. Previous studies have identified several risk factors for antenatal depression, including partner support. However, during the COVID-19 pandemic, many relationship dynamics changed. This study examined the extent to which relationship factors had an impact on antenatal depression in comparison with other well-researched factors in the context of the pandemic. METHODS: A secondary analysis was conducted using data from the P3 Cohort in Calgary, a longitudinal cohort study based in Alberta, Canada. Pregnant people (n = 872) completed self-report questionnaires and validated scales about sociodemographic, psychological, and relationship characteristics. Antenatal depression was assessed using the Edinburgh Postnatal Depression Scale (EPDS). Logistic regression was used to assess the impact of reported characteristics on antenatal depression. Tests of model fit were used to examine whether the inclusion of variables related to relationship quality improved model fit after accounting for other known risk factors. RESULTS: Overall, 18.23% of participants experienced antenatal depression. Relationship factors including relationship unhappiness (OR = 1.98 [95% CI: 1.06-3.69]), having an upsetting partner (OR = 2.00 [95% CI: 1.17-3.40]), and having a lower quality of relationships with close friends and family (OR = 1.76 [95% CI: 1.14-2.73]) were associated with antenatal depression; however, inclusion of these relationship factors did not improve model fit after accounting for other known predictors. CONCLUSION: Overall, relationship factors were not associated with antenatal depression during the pandemic after accounting for other known risk factors. Stress and anxiety caused by the pandemic may have overshadowed the impact of relationship factors, or relationship factors may have contributed to higher levels of stress and anxiety more generally within our sample.

Neuropsychological performance in women at risk of postpartum depression and postpartum psychosis.

PURPOSE: While neuropsychological deficits are commonly observed in affective and psychotic disorders, this remains unexplored in these disorders when they occur during pregnancy and the postpartum period. METHODS: A neuropsychological test battery was administered to women defined at risk of postpartum depression (PD, N = 53) because having either a current or past diagnosis of major depressive disorder, women at risk of postpartum psychosis (PP, N = 43) because of a diagnosis of bipolar disorder or schizoaffective disorder and/or a previous episode of PP and women not at risk (NR, N = 48) in the third trimester of pregnancy. Generalized and specific cognitive abilities were compared between groups. RESULTS: Women at risk of PP presented worse executive functions and processing speed compared to NR and worse performance compared to women at risk of PD across all cognitive domains. In addition, women at risk of PP who developed a psychiatric relapse in the first four weeks post-partum showed worse verbal learning and memory, visual memory, executive functions and processing speed in pregnancy compared to NR, whereas women at risk of PP who remained well presented neuropsychological performance that was intermediate between that of the women NR and those at risk of PP who developed symptoms. There were no differences in performance between women at risk of PD and the NR women, even if 31 women at risk of PD presented depressive symptoms at the time of cognitive assessment. CONCLUSIONS: Our findings in women at risk of PP align with neuropsychological findings in individuals with, or at risk of psychosis unrelated to pregnancy. In addition, initial evidence that women at risk of PP who develop a psychiatric relapse in the postpartum show a particularly poor neuropsychological performance in pregnancy suggests that this could be considered part of a phenotype for the disease and help guiding future preventive strategies in this clinical population. In women at risk of PD, the presence of depressive symptoms did not influence cognitive performance.

Short-term exposures to PM2.5, PM2.5 chemical components, and antenatal depression: Exploring the mediating roles of gut microbiota and fecal short-chain fatty acids.

BACKGROUND: PM2.5 and its chemical components increase health risks and are associated with depression and gut microbiota. However, there is still limited evidence on whether gut microbiota and short-chain fatty acids (SCFAs) mediate the association between PM2.5, PM2.5 chemical components, and antenatal depression. The purpose of this study was to investigate the mediating role of maternal gut microbiota in correlations between short-term exposure to PM2.5, short-term exposure to PM2.5 chemical components, and antenatal depression. METHODS: Demographic information and stool samples were collected from 75 pregnant women in their third trimester. Their exposure to PM2.5 and PM2.5 chemical components was measured. Participants were divided into the non-antenatal depression group or the antenatal depression group according to the cut-off of 10 points on the Edinburgh Postnatal Depression Scale (EPDS). The gut microbiota were analyzed using the 16 S rRNA-V3/V4 gene sequence, and the concentration of PM2.5 and its chemical components was calculated using the Tracking Air Pollution in China (TAP) database. Gas chromatography-mass spectrometry was used to analyze SCFAs in stool samples. In order to assess the mediating effects of gut microbiota and SCFAs, mediation models were utilized. RESULTS: There were significant differences between gut microbial composition and SCFAs concentrations between the non-antenatal depression group and the antenatal depression group. PM2.5 and its chemical components were positively associated with EPDS scores and negatively associated with genera Enterococcus and Enterobacter. Genera Candidatus_Soleaferrea (ß = -7.21, 95%CI -11.00 to -3.43, q = 0.01) and Enterococcus (ß = -2.37, 95%CI -3.87 to -0.87, q = 0.02) were negatively associated with EPDS scores, indicating their potential protective effects against antenatal depression. There was no significant association between SCFAs and EPDS scores. The mediating role of Enterococcus between different lagged periods of PM2.5, PM2.5 chemical component exposure, and antenatal depression was revealed. For instance, Enterococcus explained 29.23% (95%CI 2.16-87.13%, p = 0.04) of associations between PM2.5 exposure level at the day of sampling (lag 0) and EPDS scores. CONCLUSION: Our study highlights that Enterococcus may mediate the associations between PM2.5, PM2.5 chemical components, and antenatal depression. The mediating mechanism through which the gut microbiota influences PM2.5-induced depression in pregnant women still needs to be further studied.

"Social support and stressful life events: risk factors for antenatal depression in nulliparous and multiparous women".

Nulliparous (pregnant women who are giving birth for the first time) and multiparous (women who have multiple children) may have different concerns, which may be associated with risk of antenatal depression. This study aims to examine the role of social support and stressful life events as risk factors for antenatal depression in nulliparous and multiparous women. The sample included 1,524 pregnant women recruited from an obstetrics setting at the end of the first trimester of pregnancy from two Spanish tertiary-care public hospitals. The sample completed the Patient Health Questionnaire (PHQ-9), and the "social support" and "stressful life events" subscales of the Postpartum Depression Predictor Inventory-Revised (PDPI-R). Nulliparous women reported a lower prevalence of depressive symptoms (15.6 percent) compared to multiparous mothers (20.1 percent). In both groups, marriage/partner problems (NP: ß = 0.178, p < .01 vs MP: ß = 0.164, p < .01) and a perceived lack of instrumental support from friends (NP: ß = -0.154, p < .01 vs MP: ß = -0.154, p < .01) were significant risk factors for antenatal depression. However, nulliparous women have more risk factors such as unemployment (ß = 0.096, p < .05), job change (ß = 0.127, p < .01), financial problems (ß = 0.145, p < .01) and lack of instrumental support from partner (ß = -0187, p < .01). For multiparous women, moving (ß = 0.080, p < .05) and lack of instrumental support from family (ß = -0.151, p < .01) were risk factors. These results suggest the critical need for screening and designing preventive interventions adapted and taking into consideration parity to provide more effective health care during pregnancy.

Antenatal and postpartum depression in women who conceived after infertility treatment: a longitudinal study.

BACKGROUND: Although the association between a history of infertility treatment and perinatal depression has been investigated, most research has been cross-sectional and has not used diagnostic assessment tools. AIMS: This study investigates longitudinally the association between a history of infertility treatment and perinatal depression using WHO-Composite International Diagnostic Interview 3.0 (WHO-CIDI 3.0) and the Edinburgh Postnatal Depression Scale (EPDS). METHODS: This study used data (N = 2,435) from the control group of a randomised controlled trial on a sample of pregnant women. Survival analysis was used to examine the influence of infertility treatment on perinatal depressive disorder evaluated by WHO-CIDI 3.0. The EPDS scores at four time points (T1 [baseline]: 18 ± 2 weeks gestation, T2: 32 weeks gestation, T3: 1 week postpartum, T4: 3 months postpartum) were analysed using generalised mixed model analysis. RESULTS: The risk of experiencing a major depressive episode evaluated by WHO-CIDI 3.0 did not significantly differ between women conceiving through infertility treatment and those conceiving spontaneously (adjusted hazard ratio = 1.64, p = 0.109). The longitudinal analysis demonstrated that EPDS scores significantly increased at T3 and T4 among women conceiving through infertility treatment compared with those conceiving spontaneously (adjusted estimates of fixed effect from T1 to T3: 1.17, p < 0.01; from T1 to T4: 0.71, p = 0.022). CONCLUSION: Women conceiving through infertility treatment were not found to have a higher risk of diagnosable perinatal depressive disorder than those conceiving naturally. However, a history of infertility treatment can marginally increase sub-clinical postpartum depressive symptoms.

Metabolic profiling of blood plasma in depression in pregnant women during early pregnancy.

OBJECTIVE: The study aimed to perform metabolic profiling of serum samples using liquid chromatography with mass spectroscopy (LC-MS) and to explore potential biomarkers of early trimester depression. METHOD: Using the Edinburgh Postnatal Depression Scale (EPDS), participants were randomly divided into study and control groups. Serum metabolic profiles of the two groups were analysed by using LC-MS. Differential metabolite and pathway analysis were identified by using orthogonal projections to latent structure-discriminant analysis (OPLS-DA) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis. Additionally, least absolute shrinkage and selection operator (LASSO) logistic and receiver operating characteristic (ROC) curve analyses were also conducted to explore potential biomarkers of antenatal depression (AD). RESULTS: The study included 41 participants, consisting of 16 subjects with AD and 25 controls. A total of 22 different metabolites were identified (p < .005), mainly affecting glycerophospholipid metabolism, linoleic acid metabolism, synthesis and degradation of ketone bodies, phenylalanine metabolism, and butanoate metabolism. The area under the ROC curve (AUC) for the LysoPC (24:0) was 0.858. This suggests that LysoPC (24:0) may be a potentially effective predictor of risk factors for AD. CONCLUSIONS: The study suggests that LysoPC (24:0) may be an effective and specific lipid biomarker for early trimester depression.

Psychological treatment of perinatal depression: a meta-analysis.

BACKGROUND: 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. METHODS: 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. RESULTS: Forty-three studies with 49 comparisons and 6270 participants between an intervention and control group were included. The overall effect size was g = 0.67 [95% confidence interval (CI) 0.45~0.89; numbers needed-to-be-treated = 4.39] with high heterogeneity (I2 = 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. CONCLUSIONS: 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.

Pre-pregnancy obesity is associated with greater systemic inflammation and increased risk of antenatal depression.

BACKGROUND: Pre-pregnancy obesity is an emerging risk factor for perinatal depression. However, the underlying mechanisms remain unclear. We investigated the association between pre-pregnancy body mass index (BMI) and perinatal depressive symptoms in a large population-based pre-birth cohort, the Barwon Infant Study. We also assessed whether the levels of circulating inflammatory markers during pregnancy mediated this relationship. METHODS: Depressive symptoms were assessed in 883 women using the Edinburgh Postnatal Depression Scale (EPDS) and psychological stress using the Perceived Stress Scale (PSS) at 28 weeks gestation and 4 weeks postpartum. Glycoprotein acetyls (GlycA), high-sensitivity C-reactive protein (hsCRP) and cytokines were assessed at 28 weeks gestation. We performed regression analyses, adjusted for potential confounders, and investigated mediation using nested counterfactual models. RESULTS: The estimated effect of pre-pregnancy obesity (BMI ≥ 30 kg/m2) on antenatal EPDS scores was 1.05 points per kg/m2 increase in BMI (95% CI: 0.20, 1.90; p = 0.02). GlycA, hsCRP, interleukin (IL) -1ra and IL-6 were higher in women with obesity, compared to healthy weight women, while eotaxin and IL-4 were lower. Higher GlycA was associated with higher EPDS and PSS scores and partially mediated the association between pre-pregnancy obesity and EPDS/PSS scores in unadjusted models, but this association attenuated upon adjustment for socioeconomic adversity. IL-6 and eotaxin were negatively associated with EPDS/PSS scores, however there was no evidence for mediation. CONCLUSIONS: Pre-pregnancy obesity increases the risk of antenatal depressive symptoms and is also associated with systemic inflammation during pregnancy. While discrete inflammatory markers are associated with antenatal depressive symptoms and perceived stress, their role in mediating the effects of pre-pregnancy obesity on antenatal depression requires further investigation.

Prevalence of and relevant factors for depression and anxiety symptoms among pregnant women on the eastern seaboard of China in the post-COVID-19 era: a cross-sectional study.

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.

'Just snap out of it' - the experience of loneliness in women with perinatal depression: a Meta-synthesis of qualitative studies.

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.

Risk factors for the development of postpartum depression in individuals who screened positive for antenatal depression.

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 ß = 0.173) and pyrexia during pregnancy (standardized total ß = 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 ß = 0.226) and one-child family (standardized ß = 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.

Summary of the effect of an exercise intervention on antenatal depression and the optimal program: a systematic review and Meta-analysis.

OBJECTIVE: This study aimed to examine the effect of exercise intervention for antenatal depression using meta-analysis and to propose the best exercise intervention program. METHODS: Review Manager 5.3 was used to analyze 17 papers with 2224 subjects by setting five moderators, including type, time, frequency, period, and format of exercise intervention, and a random-effects model was used to test for overall effect, heterogeneity, and publication bias. RESULTS: (1) The effect size of the exercise intervention on antenatal depression was d = -0.56, which reached a good effect and was statistically significant; b (2) The effect size of the exercise type on antenatal depression was Yoga and a combination of aerobic exercise in order of intervention; (3) the single intervention duration of 10-75 min all had a good effect on antenatal depression, and 30-60 min had the best effect; (4) the intervention frequency of 3 to 5 times/week had the greatest amount of intervention effect on maternal depression; (5) exercise lasting 6-10 weeks had a good intervention effect on antepartum depression, and the amount of effect decreased gradually with the extension of time; (6) In terms of exercise format, the amount of intervention effect on maternal depression was in the order of group exercise, individual + group exercise. CONCLUSIONS: Exercise intervention can significantly alleviate antenatal depression symptoms. The best exercise program for exercise intervention for antenatal depression is: Yoga and a combination of aerobic exercise intervention effects are more prominent, and the intervention effect of Yoga is the best. The use of group exercise 3-5 times per week for 30-60 min for 6-10 weeks was more likely to achieve the desired intervention effect of improving antenatal depression.

Prevalence and factors associated with trajectories of antenatal depression: a prospective multi-center cohort study in Chengdu, China.

BACKGROUND: Antenatal depression (AD) is a major depressive disorder during pregnancy, which may lead to devastating sequelae for the expectant mothers and infants. This study aimed to investigate the prevalence, to analyze trajectory model based on EPDS score, and to explore the influence factors of AD among pregnant women in Chengdu, China. METHODS: Participants from four maternity hospitals in Chengdu, China were recruited when they had their first pregnancy medical check-up during March 2019 to May 2020. All participants were required to fill in Edinburgh Postnatal Depression Scale Chinese version (EPDS) once during three trimesters and provided information about their health status, social-demographic etc. The trajectory model, chi-square test and multivariate binary logistic regression were used to analyze all collected data. RESULTS: A total of 4560 pregnant women were recruited, while 1051 women completed the study. The prevalence of depression symptoms during the first, second and third trimesters were 32.92% (346/1051), 19.79% (208/1051) and 20.46% (215/1051) respectively. According to the results of the latent growth mixture modeling, the trajectory model of three categories based on EPDS score were identified in this study: low-risk group (38.2%, 401/1051), medium-risk group (54.8%, 576/1051) and high-risk group (7%, 74/1051). Good marital relationship (P = 0.007, OR = 0.33, 95% CI 0.147 ~ 0.74), good relationship with parents-in-law (P = 0.011, OR = 0.561, 95% CI 0.36 ~ 0.874), planned pregnancy (P = 0.018, OR = 0.681, 95% CI 0.496 ~ 0.936) were the protective factors while lower education level (P = 0.036, OR = 1.355, 95% CI 1.02 ~ 1.799), fear about dystocia (P = 0.0, OR = 1.729, 95% CI 1.31 ~ 2.283), recent major negative life events (P = 0.033, OR = 2.147, 95% CI 1.065 ~ 4.329) were the risk factors of medium-risk group. Good marital relationship (P = 0.005, OR = 0.2, 95% CI 0.065 ~ 0.615), good relationship with parents-in-law (P = 0.003, OR = 0.319, 95% CI 0.15 ~ 0.679) were also protective factors of high-risk group, but the risk factors for high-risk group were medical history (P = 0.046, OR = 1.836, 95% CI 1.011 ~ 3.334), pregnancy complications (P = 0.022, OR = 2.015, 95% CI 1.109 ~ 3.662), worry about dystocia (P = 0.003, OR = 2.365, 95% CI 1.347 ~ 4.153), recent major negative life events (P = 0.011, OR = 3.661, 95% CI 1.341 ~ 9.993). No protective or risk factors were identified for low-risk group. CONCLUSION: Even the incidence and levels of depression in the first trimester of pregnancy were the highest, the probability of pregnancy women get depression during gestation period were higher than other population. Therefore, it's important to monitor the psychological status of pregnant women during the whole pregnancy, especially in the first trimester. The study suggested a good partner relationship and good relations with parents-in-law both protected pregnant women from depression and promoted the well-being of mothers and children.

Mental health issues in antenatal women with prior adverse pregnancy outcomes: Unmasking the mental anguish of rainbow pregnancy.

Background & objectives: Mental health issues in pregnancy have adverse implications on the quality of life, however still they go unevaluated and underreported. Women with previous history of abortions or stillbirth may have a higher risk of experiencing mental health problems. The present investigation was aimed to study the prevalence of depression, anxiety, stress and domestic violence in antenatal women with prior pregnancy losses and the need for interventions to treat the same. Methods: One hundred pregnant women with a history of prior pregnancy losses (group 1) and 100 women without obstetrical losses (group 2) were enrolled in this cross-sectional study carried out in a tertiary care hospital in India. Women were screened for depression, anxiety, stress and domestic violence using various questionnaires: EPDS (Edinburgh postnatal depression scale), PRAQ-2 (pregnancy-related anxiety questionnaire-revised 2), GAD 7 (generalized anxiety disorder-7) and PSS (perceived stress scale). Results: The prevalence of depression (EPDS scale) and pregnancy specific anxiety (PRAQ-2 scale) was significantly higher in group 1 than in group 2 (27 vs. 10%, P=0.008; and 15 vs. 6%, P=0.03). The prevalence of general anxiety (GAD 7 scale) and stress (PSS), however, was high and comparable in both the groups (33 vs. 29%, P=0.44; and 33 vs. 27%; P=0.35 respectively). Recurrent abortions was found to be an independent risk factor for depression [adjusted odds ratio=26.45; OR=28]. In group 1, 31 per cent required counselling in the psychiatry department and nine per cent required medication. Interpretation & conclusion: Mental health issues, especially depression, are prevalent in antenatal women with previous losses. Unrecognised and untreated, there is a need for counselling and developing screening protocols at India's societal and institutional levels.

An economic evaluation of universal and targeted case-finding strategies for identifying antenatal depression: a model-based analysis comparing common case-finding instruments.

Half of women with depression in the perinatal period are not identified in routine care, and missed cases reflect inequalities in other areas of maternity care. Case finding (screening) for depression in pregnant women may be a cost-effective strategy to improve identification, and targeted case finding directs finite resources towards the greatest need. We compared the cost-effectiveness of three case-finding strategies: no case finding, universal (all pregnant women), and targeted (only pregnant women with risk factors for antenatal depression, i.e. history of anxiety/depression, age < 20 years, and adverse life events). A decision tree model was developed to represent case finding (at around 20 weeks gestation) and subsequent treatment for antenatal depression (up to 40 weeks gestation). Costs include case finding and treatment. Health benefits are measured as quality-adjusted life years (QALYs). The sensitivity and specificity of case-finding instruments and prevalence and severity of antenatal depression were estimated from a cohort study of pregnant women. Other model parameters were derived from published literature and expert consultation. The most cost-effective case-finding strategy was a two-stage strategy comprising the Whooley questions followed by the PHQ-9. The mean costs were £52 (universal), £61 (no case finding), and £62 (targeted case finding). Both case-finding strategies improve health compared with no case finding. Universal case finding is cost-saving. Costs associated with targeted case finding are similar to no case finding, with greater health gains, although targeted case finding is not cost-effective compared with universal case finding. Universal case finding for antenatal depression is cost-saving compared to no case finding and more cost-effective than targeted case finding.

Comparing the factor structures and reliabilities of the EPDS and the PHQ-9 for screening antepartum and postpartum depression: a multigroup confirmatory factor analysis.

To evaluate and compare the factor structure and reliability of EPDS and PHQ in antepartum and postpartum samples. Parallel analysis and exploratory factor analysis were conducted to determine the structure of both scales in the entire sample as well as in the antepartum and postpartum groups. McDonald's omega statistics examined the utility of treating items as a single scale versus multiple factors. Multigroup confirmatory factor analysis (MCFA) was utilized to test the measurement invariance between the antepartum and postpartum groups. Two-factor models fit best for the EPDS in both the antepartum and postpartum groups; however, the most reliable score variance was attributable to a general factor for each scale. MCFA provided evidence of weak invariance across groups regarding factor loadings and partial invariance regarding item thresholds. PHQ-9 showed a two-factor model in the antepartum group; however, the same model did not fit well in the postpartum group. EPDS should be preferred to PHQ-9 for measuring depressive symptoms in peripartum populations. Both scales should be used as a single-factor scale. Caution is required when comparing the antepartum and postpartum scores.

Association Between Social Networking Site Use Intensity and Depression Among Chinese Pregnant Women: Cross-sectional Study.

BACKGROUND: Despite extensive debates about the mental health impacts of the use of social networking sites (SNSs), including WeChat, the association and mechanisms between social interaction of WeChat use intensity and antenatal depression are unclear. OBJECTIVE: We aimed to test the mediating roles of upward social comparison on social interaction of WeChat and rumination in the association between social interaction of WeChat use intensity and antenatal depression. METHODS: A cross-sectional survey was conducted in four hospitals with the self-reported measures of social interaction of WeChat use intensity, upward social comparison on social interaction of WeChat, rumination, antenatal depression, and control variables. The mediation analysis was performed through Model 6 from the PROCESS macro 4.0 in SPSS 26. RESULTS: Results from 2661 participants showed that antenatal depression was unrelated to social interaction of WeChat use intensity (P=.54), but was significantly positively related to the attitude toward social interaction of WeChat (P=.01). The direct effect of attitude toward social interaction of WeChat use on antenatal depression was not statistically significant (ß=-.03, P=.05). The results supported an indirect relationship between attitude toward social interaction of WeChat use and antenatal depression via (1) upward social comparison on social interaction of WeChat (indirect effect value=0.04, 95% CI 0.03 to 0.06); (2) rumination (indirect effect value=-0.02, 95% CI -0.04 to -0.01); and (3) upward social comparison on social interaction of WeChat and rumination in sequence (indirect effect value=0.07, 95% CI 0.06 to 0.08). CONCLUSIONS: Our findings highlight the necessity of focusing on attitudes toward SNS use, and the importance of upward social comparison and rumination in understanding the effect of SNS use on antenatal depression.

A longitudinal study of perinatal depression and the risk role of cognitive fusion and perceived stress on postpartum depression.

AIMS AND OBJECTIVES: To explore fluctuations in perinatal depression based on physiological, psychological and interpersonal dimensions to analyse risk factors across three time points: in the third trimester and at weeks 1 and 6 postpartum. BACKGROUND: Pregnant women experience depression at multiple time points and require screening. Studies have shown protective and negative factors related to postpartum depression. Cognitive fusion refers to an individual's emotions and behaviours that are regulated and influenced by that individual's own cognitive overregulation, especially when facing stress. This is an important psychological factor related to depression, but little is known about it in pregnant women. DESIGN: A longitudinal study was conducted from June 2019-July 2020, and the findings are reported following the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guidelines. METHODS: Pregnant women (n = 207) were recruited, and a questionnaire survey was performed at 32-34 weeks of pregnancy and at weeks 1 and 6 postpartum. Repeated-measures analysis of variance was performed to analyse the changes in depression over time. Regression analysis and linear mixed modelling were used to identify risk factors. Pearson's correlation analysis was performed to analyse the relationships between variables. RESULTS: Of the pregnant women, 36.70% experienced antenatal depression and prolonged depression with the onset of postpartum depression (12.21%). Some depressive moods disappeared spontaneously after delivery (47.37%). Perceived stress was the highest risk predictor of postpartum depression (ß = 0.332), followed by cognitive fusion (ß = 0.178), which remained stable over time and might have been positively related to having a vulnerable personality (0.2 < r < 0.4). Social support plays a positive role in lowering postpartum depression (ß = -0.027). CONCLUSIONS: Changes in depression were influenced by multiple factors with stability and predictability across time. Psychological dimensions, such as perceived stress and cognitive fusion, are risk factors for developing postpartum depression and antenatal depression. RELEVANCE TO CLINICAL PRACTICE: Pregnant women can be divided into depressive cohorts according to screening at different time points to provide targeted interventions.