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.

Associations between antenatal depressive symptoms in different trimesters and perinatal outcomes: A prospective multicenter cohort study in China.

BACKGROUND: Evidence exists that maternal antenatal depression may have adverse impacts on perinatal outcomes. However, the results of those studies are inconsistent and mainly focus on maternal depressive symptoms in the second or third trimester. METHODS: This prospective cohort study used a sub-sample of participants from the Sino-Canadian Healthy Life Trajectories Initiative trial. The Edinburgh Postnatal Depression Scale (EPDS) was used to screen for depressive symptoms in the first, second, and third trimesters, respectively. Infant growth indicator measurements were conducted in the first year of life. Logistic regression, Spearman correlation analyses and Generalized estimation equation (GEE) models were used to test the hypotheses. RESULTS: 2053 participants were recruited in this study, 326 of whom had at least one EPDS score ≥ 10 during pregnancy. A higher EPDS score in the first (aOR=1.053, 95 % CI: 1.004-1.103) or in the second trimester (aOR=1.060, 95 % CI: 1.007-1.115) was associated with greater risk of macrosomia. A higher EPDS score in the third trimester was associated with higher risks of preterm birth (aOR=1.079, 95 % CI: 1.006-1.157) and the infant being small for gestational age (aOR=1.097, 95 % CI: 1.015-1.185). GEE models showed that a greater EPDS score in the third trimester was associated with higher infant subscapular skinfold thickness (adjusted ß=0.026, 95 % CI: 0.003-0.050). CONCLUSION: Maternal depressive symptoms in different trimesters were differentially associated with infant weight and growth parameters at birth and postnatally. The present study further highlights the importance of depression screening in all trimesters of pregnancy, including the first trimester.

Maternal antenatal depression is associated with metabolic alterations that predict birth outcomes, neurodevelopment and mental health of the child.

BACKGROUND: Evidence regarding metabolic alterations associated with maternal antenatal depression (AD) is limited, and their role as potential biomarkers improving the prediction of AD and adverse child birth, neurodevelopmental, and mental health outcomes remains unexplored. METHODS: In a cohort of 331 mother-child dyads, we studied associations between AD (history of medical register diagnoses and/or Center of Epidemiological Studies Depression Scale score during pregnancy≥20) and 95 metabolic measures analyzed three times during pregnancy. We tested whether the AD-related metabolic measures increased variance explained in AD over its risk factors, and in child birth, neurodevelopmental, and mental health outcomes over AD. We replicated the findings in a cohort of 416 mother-child dyads. RESULTS: Elastic net regression identified 15 metabolic measures that collectively explained 25% (p<0.0001) of variance in AD, including amino and fatty acids, glucose, inflammation, and lipids. These metabolic measures increased the variance explained in AD over its risk factors (32.3%,p<0.0001 vs. 12.6%,p=0.004), and in child gestational age (9.0%,p<0.0001 vs. 0.7%, p=0.34), birth weight(9.0%,p=0.03 vs. 0.7%, p=0.33), developmental milestones at the age of 2.3-5.7 years(21.0%,p=0.002 vs. 11.6%,p<0.001) and any mental or behavioral disorder by the age of 13.1-16.8 years(25.2%,p=0.03 vs. 5.0%,p=0.11) over AD, child sex and age. These findings replicated in the independent cohort. CONCLUSIONS: AD is associated with alterations in 15 metabolic measures, which collectively improve the prediction of AD over its risk factors, and birth, neurodevelopmental and mental health outcomes of the child over AD. These metabolic measures may become biomarkers identifying at-risk mothers and children for personalized interventions.

Prevalence and risk factors of perinatal depression among mothers and fathers in Pakistan: a systematic review and meta-analysis.

Background: Perinatal mental health issues affect approximately 10% of women in high-income countries and 30% in low- or middle-income countries. This review aims to determine the prevalence of perinatal depression among mothers and fathers in Pakistan and identify associated risk factors. Methods: We conducted a systematic review and meta-analysis following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines. We included quantitative studies on the prevalence or incidence of maternal and paternal perinatal depression, including antenatal or postnatal depression in Pakistan, with or without associated risk factors. We performed an electronic search, dual-title/abstract and full-text screening, and data extraction. Analysis was conducted on Revman and JBI SUMARI software. The quality of the included studies was assessed with the NHLBI tool. This review updated a previously published review that included 43 studies, with the last search date of 31st May 2019, now extended to literature published up to June 30, 2023. Results: Consistent with the previous review, our analysis of 61 studies indicated a pooled prevalence of 37% (95% confidence interval (CI): 30.6-43.6) for maternal antenatal depression. Postnatal depression at different time points, revealed rates of 34.2% (95% CI: 22.7-46.7), 40.9% (95% CI: 0-97.4), and 43.1% (95% CI: 24.4-62.9) at 3, 6 and 12 months, respectively. Paternal postnatal depression was observed at 40.5% (95% CI: 14.9-69) based on two studies. Risk factors for maternal perinatal depression include multiparity, contraceptive failure, inadequate antenatal care, pregnancy-induced hypertension, previous psychiatric illness, passive smoking, drug abuse, low socio-economic status, marital problems, family hardships, recent bereavement, housing difficulties, food insecurity, husband's illiteracy, his unemployment, and being blamed for child disability. Conclusion: The findings reveal a high prevalence of perinatal depression among mothers with very limited evidence of fathers residing in Pakistan, emphasising the need for prospective studies addressing mental health challenges. Registration: This review is registered on PROSPERO (CRD42023442581).

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]: 14 ± 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.

Prevalence and risk factors of antenatal depression in the first trimester: A real-world cross-sectional study in a developed district in South China.

BACKGROUND: Antenatal depression may result in adverse outcomes for both the mother and the offspring. However, few studies have focused on the screening of pregnant women at a higher risk for antenatal depression in the first trimester. The present study aimed to assess the effect of lifestyle and family relationships on antenatal depression in the first trimester in a large Chinese population. METHODS: Cross-sectional population data were obtained from a real-world cross-sectional survey conducted in Shenzhen, China from 2020 to 2024. The data on sociodemographic characteristics, lifestyle, and family relationships were obtained using self-reported questionnaires. Antenatal depression was assessed using the Edinburgh Postnatal Depression Scale (EPDS), with a score of ≥13 indicating the presence of probable antenatal depression. A binary logistic regression model was used to identify the risk factors of antenatal depression. RESULTS: A total of 42,363 pregnant women in the first trimester were recruited in the cross-sectional survey, among whom 3107 (7.3 %) had probable antenatal depression. We found (1) age < 25 years, (2) low or moderate economic status, (3) smoking, (4) partner smoking, (5) alcohol use, (6) lack of physical exercise, (7) poor or moderate living environment, (8) low or moderate marital happiness, and (9) never talking about problems were associated with antenatal depression. However, level of education, employment status, partner alcohol use, and living alone were not significantly related to antenatal depression in the first trimester. LIMITATIONS: The cross-sectional design and the use of self-report measures must be considered while interpreting the results. CONCLUSIONS: This study suggested that the prevalence of antenatal depression in the first trimester was 7.3 %. Public health prevention efforts aimed at reducing the prevalence of antenatal depression are recommended. Early identification of women at a higher risk in early pregnancy is necessary for preventing antenatal depression and improving quality of life.

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.

Prenatal exposure to air pollution and maternal depression: Combined effects on brain aging and mental health in young adulthood.

INTRODUCTION: Both maternal depression problems during pregnancy and prenatal exposure to air pollution have been associated with changes in the brain as well as worse mood and anxiety in the offspring in adulthood. However, it is not clear whether these effects are independent or whether and how they might interact and impact the brain age and mental health of the young adult offspring. METHODS: A total of 202 mother-child dyads from a prenatal birth cohort were assessed for maternal depression during pregnancy through self-report questionnaires administered in the early 90s, exposure to air pollutants (Sulfur dioxide [SO2], nitrogen oxides [NOx], and suspended particle matter [SPM]) during each trimester based on maternal address and air quality data, mental health of the young adult offspring (28-30 years of age; 52% men, all of European ancestry) using self-report questionnaires for depression (Beck Depression Inventory), mood dysregulation (Profile of Mood States), anxiety (State-Trait Anxiety Inventory), and psychotic symptoms (Schizotypal Personality Questionnaire), and brain age, estimated from structural magnetic resonance imaging (MRI) and previously published neuroanatomical age prediction model using cortical thickness maps. The brain age gap estimate (BrainAGE) was computed by subtracting structural brain age from chronological age. Trajectories of exposure to air pollution during pregnancy were assessed using Growth Mixture Modeling. The interactions of prenatal depression and prenatal exposure to air pollutants on adult mental health and BrainAGE were assessed using hierarchical linear regression. RESULTS: We revealed two distinct trajectories of exposure to air pollution during pregnancy: "early exposure," characterized by high exposure during the first trimester, followed by a steady decrease, and "late exposure," characterized by low exposure during the first trimester, followed by a steady increase in the exposure during the subsequent trimesters. Maternal depression during the first half of pregnancy interacted with NOX exposure trajectory, predicting mood dysregulation and schizotypal symptoms in young adults. In addition, maternal depression during the second half of pregnancy interacted with both NOx and SO2 exposure trajectories, respectively, and predicted BrainAGE in young adults. In those with early exposure to NOx, maternal depression during pregnancy was associated with worse mental health and accelerated brain aging in young adulthood. In contrast, in those with early exposure to SO2, maternal depression during pregnancy was associated with slower brain aging in young adulthood. CONCLUSIONS: Our findings provide the first evidence of the combined effects of prenatal exposure to air pollution and maternal depression on mental health outcomes and brain age in young adult offspring. Moreover, they point out the importance of the timing and trajectory of the exposure during prenatal development.

Association of trajectories and cumulative exposure of antenatal depression with high birth weight.

BACKGROUND: Inconsistent associations between antenatal depression and fetal birth weight were reported previously, and little is known about the dynamic changes and long-term cumulative effect of antenatal depression during pregnancy. METHODS: Participants were from the Tongji-Huaxi-Shuangliu Birth Cohort. Depressive symptoms were measured using the Edinburgh Postnatal Depression Scale in early, middle, and late pregnancy respectively. Trajectories of antenatal depression were assessed using the latent class mixed model. The percentage of days with depression (PDD) and frequency of antenatal depression were measured to assess the cumulative exposure. Multivariable logistic regression models were used to evaluate the associations of antenatal depression with macrosomia and large for gestational age (LGA). RESULTS: We identified four distinct trajectories, including the low stable group (n = 1,327, 27.99 %), the moderate stable group (n = 2,610, 55.05 %), the peak group (n = 407, 8.58 %), and the valley group (n = 397, 8.37 %). Compared with the low stable group, the valley group showed a higher risk of macrosomia (OR, 1.98; 95 % CI, 1.17, 3.38) and LGA (OR, 1.44; 95 % CI, 1.002, 2.09); the peak group showed a higher risk of LGA (OR, 1.52; 95 % CI, 1.07, 2.16), but the association was not significant for macrosomia (OR, 1.47; 95 % CI, 0.85, 2.55). Consistently, cumulative antenatal depression was also positively associated with the risks of macrosomia and LGA. LIMITATION: The antenatal depression was self-reported using a screening scale and information bias could not be ruled out. CONCLUSION: Certain trajectories and cumulative exposure of antenatal depression were associated with higher risks of high birth weight.

Efficacy and safety of a mineral and vitamin treatment on symptoms of antenatal depression: 12-week fully blinded randomised placebo-controlled trial (NUTRIMUM).

BACKGROUND: Broad-spectrum micronutrients (minerals and vitamins) have shown benefit for treatment of depressive symptoms. AIMS: To determine whether additional micronutrients reduce symptoms of antenatal depression. METHOD: Eighty-eight medication-free pregnant women at 12-24 weeks gestation, who scored ≥13 on the Edinburgh Postnatal Depression Scale (EPDS), were randomised 1:1 to micronutrients or active placebo (containing iodine and riboflavin), for 12 weeks. Micronutrient doses were generally between recommended dietary allowance and tolerable upper level. Primary outcomes (EPDS and Clinical Global Impression - Improvement Scale (CGI-I)) were analysed with constrained longitudinal data analysis. RESULTS: Seventeen (19%) women dropped out, with no group differences, and four (4.5%) gave birth before trial completion. Both groups improved on the EPDS, with no group differences (P = 0.1018); 77.3% taking micronutrients and 72.7% taking placebos were considered recovered. However, the micronutrient group demonstrated significantly greater improvement, based on CGI-I clinician ratings, over time (P = 0.0196). The micronutrient group had significantly greater improvement on sleep and global assessment of functioning, and were more likely to identify themselves as 'much' to 'very much' improved (68.8%) compared with placebo (38.5%) (odds ratio 3.52, P = 0.011; number needed to treat: 3). There were no significant group differences on treatment-emergent adverse events, including suicidal ideation. Homocysteine decreased significantly more in the micronutrient group. Presence of personality difficulties, history of psychiatric medication use and higher social support tended to increase micronutrient response compared with placebo. CONCLUSIONS: This study highlights the benefits of active monitoring on antenatal depression, with added efficacy for overall functioning when taking micronutrients, with no evidence of harm. Trial replication with larger samples and clinically diagnosed depression are needed.

Antenatal depression and its predictors among HIV positive women in Sub-Saharan Africa; a systematic review and meta-analysis.

Background: Antenatal depression in Human Immunodeficiency Virus (HIV) positive pregnant women can have significant adverse effects on both the mother and newborns, yet it is often overlooked in pregnancy care in Sub-Saharan Africa (SSA). Despite this, there is limited data on the combined prevalence of antenatal depression and its predictors among HIV-positive women in the region. Objective: To assess the pooled prevalence of antenatal depression and its associated factors among HIV-positive women in SSA. Methods: All primary cross-sectional studies published before 1st January/2024, were included. We conducted searches in relevant databases; PubMed, HINARI, Web of Science, PsycINFO, Psychiatry Online, ScienceDirect, and Google Scholar. The Joanna Briggs Institute checklist was used to critically appraise the selected studies. To assess heterogeneity among the studies, we utilized the I2 test. Publication bias was evaluated using a funnel plot and Egger's test. The forest plot was used to present the combined proportion of antenatal depression and odds ratio, along with a 95% confidence interval. Results: The pooled prevalence of antenatal depression among HIV-positive women in Sub-Saharan Africa was found to be 30.6% (95% CI, 19.8%-41.3%). Factors significantly associated with antenatal depression among HIV-positive women in SSA included being unmarried (AOR: 3.09, 95% CI: 1.57 - 6.07), having a previous history of depression (AOR: 2.97, 95% CI: 1.79 - 4.91), experiencing intimate partner violence (IPV) (AOR: 2.11, 95% CI: 1.44 - 3.09), and experiencing stigma (AOR: 1.36, 95% CI: 1.05 - 1.76). Conclusion: High prevalence of antenatal depression among HIV-positive women in SSA underscores the need for prioritizing identification and management. Interventions addressing factors like IPV and stigma, along with training for healthcare providers in recognizing symptoms and providing support, are recommended. Systematic Review Registration: https://www.crd.york.ac.uk/PROSPERO/, identifier CRD42024508236.

Intimate Partner Violence and Antenatal Depression Among Underserved Pregnant Women.

Introduction: Few studies have examined the associations of intimate partner violence (IPV) exposure during pregnancy and types of IPV with antenatal depression among underserved pregnant women. Methods: Data came from participants from a Healthy Start program in South Carolina between 2015 and 2019 (n = 1,629). The first two questions in the Woman Abuse Screening Tool (WAST) were used to measure IPV exposure, that is, having a problematic relationship with their partner. Those who had IPV exposure were assessed with six additional questions of the WAST. Principal component analysis was conducted on the 8-item WAST data to identify underlying types of IPV exposure. Antenatal depression was defined as the Center for Epidemiologic Studies Depression scores ≥16. Results: Participants were racially diverse (71% black, 21% white) with 85% Medicaid recipients. Nearly 12% of participants reported IPV exposure and 30% reported antenatal depression. The odds of having IPV exposure were higher among unmarried women, those with less than a high school education, and those who lacked family support. The odds of having antenatal depression were 2.5 times higher (95% CI: 1.9-3.5) among women with IPV exposure. After controlling for covariates, a one-point increase in the scores for psychological IPV (Factor 1) or a problematic relationship (Factor 3) was associated with increased odds of antenatal depression. Conclusion: This is one of the first studies to estimate the prevalence of IPV exposure using a proxy measure (a problematic relationship) among underserved U.S. pregnant women. Its positive association with antenatal depression suggests the utility of screening for a problematic relationship using a two-item WAST and providing assistance to those with IPV exposure.

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.

Exploring a Potential Interaction Between the Effect of Specific Maternal Smoking Patterns and Comorbid Antenatal Depression in Causing Postpartum Depression.

Purpose: To explore a potential interaction between the effect of specific maternal smoking patterns and the presence of antenatal depression, as independent exposures, in causing postpartum depression (PPD). Methods: This case-control study of participants with singleton term births (N = 51220) was based on data from the 2017-2018 Pregnancy Risk Assessment Monitoring System. Multivariable log-binomial regression models examined the main effects of smoking patterns and self-reported symptoms of antenatal depression on the risk of PPD on the adjusted risk ratio (aRR) scale and tested a two-way interaction adjusting for covariates selected in a directed acyclic graph (DAG). The interaction effects were measured on the additive scale using relative excess risk due to interaction (RERI), the attributable proportion of interaction (AP), and the synergy index (SI). Causal effects were defined in a counterfactual framework. The E-value quantified the potential impact of unobserved/unknown covariates, conditional on observed covariates. Results: Among 6841 women in the sample who self-reported PPD, 35.7% also reported symptoms of antenatal depression. Out of 3921 (7.7%) women who reported smoking during pregnancy, 32.6% smoked at high intensity (≥10 cigarettes/day) in all three trimesters and 36.6% had symptoms of antenatal depression. The main effect of PPD was the strongest for women who smoked at high intensity throughout pregnancy (aRR 1.65; 95% CI: 1.63, 1.68). A synergistic interaction was detected, and the effect of all maternal smoking patterns was augmented, particularly in late pregnancy for Increasers and Reducers. Conclusion: Strong associations and interaction effects between maternal smoking patterns and co-occurring antenatal depression support smoking prevention and cessation interventions during pregnancy to lower the likelihood of PPD.

Antenatal anxiety symptoms outperform antenatal depression symptoms and suicidal ideation as a risk factor for postpartum suicidal ideation.

BACKGROUND AND OBJECTIVES: Suicidal ideation (SI) during the postpartum phase is linked with suicide, a leading cause of death during this period. Antenatal depression and anxiety symptoms have both been linked with increased risk for postpartum SI. However, research aimed at examining the relative contributions of antenatal anxiety and depression symptoms towards postpartum SI remains nascent. In this study, we investigated the relative contribution of antenatal anxiety symptoms, depression symptoms, and SI towards postpartum SI. DESIGN: These data are from a longitudinal study in which American mothers were assessed during pregnancy and again at six- to eight weeks postpartum. METHODS: Data were analyzed using correlations and logistic regression models. RESULTS: Antenatal anxiety symptoms and antenatal depression symptoms were significantly correlated with postpartum SI. Results from a logistic regression model indicated that antenatal anxiety symptoms (T1; OR = 1.185 [1.125, 1.245], p = .004), but not antenatal depression symptoms (T1; OR = 1.018 [0.943, 1.093], p = .812) or antenatal SI (T1; OR = 1.58 [0.11, 22.29], p = 0.73), were significantly associated with postpartum SI. CONCLUSIONS: Antenatal anxiety symptoms, depression symptoms, and SI were positively associated with postpartum SI. When examined simultaneously, anxiety symptoms during the antenatal phase (but not depression symptoms or SI) predicted SI in the postpartum phase.

"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.

Path analysis of influencing factors for maternal antenatal depression in the third trimester.

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 (χ2/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.

Climate change anxiety positively predicts antenatal distress in expectant female parents.

Clinical and subclinical levels of anxiety and depression are common experiences during pregnancy for expectant women; however, despite rising awareness of significant climate change anxiety around the world, the extent to which this particular type of anxiety may be contributing to overall antenatal psychological distress is currently unknown. Furthermore, the content of concerns that expectant women may have for their existing or future children remains unexplored. To address this gap in knowledge, 103 expectant Australian women completed standardised assessments of antenatal worry and depression, climate change anxiety, and perceived distance to climate change, and responded to several open-ended questions on concerns they had for their children. Results indicated that climate change anxiety accounted for significant percentages of variance in both antenatal worry and depression scores and, unexpectedly, neither child number nor perceived distance to climate change moderated these relationships. Content analysis of qualitative data highlighted the significant health-related anxieties for participants' children related to climate change (e.g., disease, exposure to extreme weather events, food/water insecurity). Given the escalating nature of climate change, further investigation of this relatively new stressor contributing to the experience of anxiety and distress, particularly in uniquely vulnerable groups such as expectant women, is urgently needed.

Investigation of Hypothalamic Pituitary Adrenal Axis and Oxytocinergic System Changes in a Pragmatic Randomized Controlled Feasibility Trial of Acupuncture for Antenatal Depression.

Background: Antenatal depression is common and associated with detrimental impacts on women and their families. Disrupted neuroendocrine functioning is reported in women experiencing perinatal mental health disturbances. Preliminary randomized controlled trial (RCT) evidence suggests acupuncture may provide a safe and effective adjunct treatment; however, underlying mechanisms of effect are unclear. We conducted an RCT examination of acupuncture for the management of antenatal depressive symptomologies, which included oxytocinergic and hypothalamic pituitary adrenal (HPA) axis system evaluations. This article reports postintervention changes to cortisol: dehydroepiandrosterone (DHEA) ratios, and oxytocin (OT) hormone concentrations. Methods: Fifty-seven women with Edinburgh Postnatal Depression Scale (EPDS) scores ≥13 were randomized to receive individually tailored depressed specific acupuncture, progressive muscle relaxation (PMR) attention comparator, or treatment as usual (TAU). Weekly 1-h sessions were conducted for 8 weeks (24-31 of pregnancy). Preintervention and postintervention saliva samples were collected. Results: Postintervention mean cortisol: DHEA ratio differences were not significantly predicted by group allocation (n = 46, p = 0.065). Two-group comparisons demonstrated cortisol: DHEA ratios were significantly increased and predicted by group allocation when acupuncture was compared to TAU (p = 0.039); however, not between acupuncture and PMR (p = 0.179), or PMR and TAU (p = 0.421). Postintervention OT concentrations were not significantly predicted by group allocation. Limitations: Small sample size and posthoc analysis Conclusion: Findings suggest positive regulation of the HPA axis may be an underlying mechanism by which acupuncture provided the significant improvements to antenatal depression, stress, and distress observed in this cohort. Trial Registration: Registered on March 19, 2015, with the Australian New Zealand Clinical Trials Registry (ACTRN12615000250538).