Investigating heart rate variability measures during pregnancy as predictors of postpartum depression and anxiety: an exploratory study.

Perinatal affective disorders are common, but standard screening measures reliant on subjective self-reports might not be sufficient to identify pregnant women at-risk for developing postpartum depression and anxiety. Lower heart rate variability (HRV) has been shown to be associated with affective disorders. The current exploratory study aimed to evaluate the predictive utility of late pregnancy HRV measurements of postpartum affective symptoms. A subset of participants from the BASIC study (Uppsala, Sweden) took part in a sub-study at pregnancy week 38 where HRV was measured before and after a mild stressor (n = 122). Outcome measures were 6-week postpartum depression and anxiety symptoms as quantified by the Edinburgh Postnatal Depression Scale (EPDS) and the Beck Anxiety Inventory (BAI). In total, 112 women were included in a depression outcome analysis and 106 women were included in an anxiety outcome analysis. Group comparisons indicated that lower pregnancy HRV was associated with depressive or anxious symptomatology at 6 weeks postpartum. Elastic net logistic regression analyses indicated that HRV indices alone were not predictive of postpartum depression or anxiety outcomes, but HRV indices were selected as predictors in a combined model with background and pregnancy variables. ROC curves for the combined models gave an area under the curve (AUC) of 0.93 for the depression outcome and an AUC of 0.83 for the anxiety outcome. HRV indices predictive of postpartum depression generally differed from those predictive of postpartum anxiety. HRV indices did not significantly improve prediction models comprised of psychological measures only in women with pregnancy depression or anxiety.

Psychometric testing of the Chinese version of the Perceived Maternal Parenting Self-Efficacy Scale among postpartum women.

BACKGROUND: Maternal parenting self-efficacy plays a critical role in facilitating positive parenting practices and successful adaption to motherhood. The Perceived Maternal Parenting Self-Efficacy Scale (PMPS-E), as a task-specific measure, confirms its psychometric properties in cultural contexts. Compared with other tools, the advantages of the PMPS-E are as follows: (i) specific context or time period during the lifespan of a child, (ii) explicitly assess parenting self-efficacy across a diverse enough range of parenting tasks or activities during the perinatal/postnatal period and (iii) having robust psychometric properties. The aim of this study was to translate and determine the psychometric properties of the PMPS-E among Chinese postpartum women (C-PMPS-E). METHOD: The cross-cultural adaptation process followed Beaton et al.'s intercultural debugging guidelines. A total of 471 women were included to establish the psychometric properties of the C-PMPS-E. Mothers were asked to complete the C-PMPS-E, Edinburgh Postnatal Depression Scale (EPDS), the Generalized Anxiety Disorder-7 (GAD-7) and several demographic questions. The psychometric testing of the C-PMPS-E was established through item analysis, construct validity and internal consistency reliability. RESULTS: Item analysis showed that the critical ratios of all items were greater than 3 between the low-score group and high-score group, and all item-total correlation coefficients were greater than 0.4. The fit indices showed that the original correlated four-factor model of C-PMPS-E was observed to be an excellent fit to the data. The PMPS-E was negatively correlated with the EPDS and GAD-7 demonstrating its discriminant validity. As expected, no significant correlation was found between PMPS-E total or subscale scores and mothers' age. In addition, statistically significant differences for parity were detected for C-PMPS-E total and subscale scores with multipara having higher scores. This was taken as further evidence of the scale known-groups discriminant validity. In terms of internal consistency, the Cronbach's alpha of the C-PMPS-E total scale was 0.950, and subscales ranged from 0.76 to 0.89. Furthermore, a ROC curve analysis was conducted to establish the ability of the C-PMPS-E to distinguish between symptoms of depression and symptoms of anxiety. A cut-off value of 55 was identified that resulted in good specificity and fair sensitivity. CONCLUSION: The C-PMPS-E is a reliable and valid tool to assess maternal parenting self-efficacy in a Chinese context.

A qualitative study on the adaptation of community programmes for the promotion of early detection and health-seeking of perinatal depression in Nepal.

BACKGROUND: Despite the high burden of perinatal depression in Nepal, the detection rate is low. Community-based strategies such as sensitization programmes and the Community Informant Detection Tool (CIDT) have been found to be effective in raising awareness and thus promoting the identification of mental health problems. This study aims to adapt these community strategies for perinatal depression in the Nepalese context. METHODS: We followed a four-step process to adapt the existing community sensitization program manual and CIDT. Step 1 included in-depth interviews with women identified with perinatal depression (n=36), and focus group discussions were conducted with health workers trained in community mental health (n=13), female community health volunteers (FCHVs), cadre of Nepal government for the prevention and promotion of community maternal and child health (n=16), and psychosocial counsellors (n=5). We explored idioms and understanding of depression, perceived causes, and possible intervention. Step 2 included draft preparation based on the qualitative study. Step 3 included a one-day workshop with the psychosocial counsellors (n=2) and health workers (n=12) to assess the understandability and comprehensiveness of the draft and to refine the content. A review of the CIDT and community sensitization program manual by a psychiatrist was performed in Step 4. RESULTS: The first step led to the content development for the CIDT and community sensitization manual. Multiple stakeholders and experts reviewed and refined the content from the second to fourth steps. Idioms of depression and commonly cited risk factors were incorporated in the CIDT. Additionally, myths of perinatal depression and the importance of the role of family were added to the community sensitization manual. CONCLUSION: Both the CIDT and community sensitization manual are grounded in the local context and are simple, clear, and easy to understand.

Harnessing Consumer Wearable Digital Biomarkers for Individualized Recognition of Postpartum Depression Using the All of Us Research Program Data Set: Cross-Sectional Study.

BACKGROUND: Postpartum depression (PPD) poses a significant maternal health challenge. The current approach to detecting PPD relies on in-person postpartum visits, which contributes to underdiagnosis. Furthermore, recognizing PPD symptoms can be challenging. Therefore, we explored the potential of using digital biomarkers from consumer wearables for PPD recognition. OBJECTIVE: The main goal of this study was to showcase the viability of using machine learning (ML) and digital biomarkers related to heart rate, physical activity, and energy expenditure derived from consumer-grade wearables for the recognition of PPD. METHODS: Using the All of Us Research Program Registered Tier v6 data set, we performed computational phenotyping of women with and without PPD following childbirth. Intraindividual ML models were developed using digital biomarkers from Fitbit to discern between prepregnancy, pregnancy, postpartum without depression, and postpartum with depression (ie, PPD diagnosis) periods. Models were built using generalized linear models, random forest, support vector machine, and k-nearest neighbor algorithms and evaluated using the κ statistic and multiclass area under the receiver operating characteristic curve (mAUC) to determine the algorithm with the best performance. The specificity of our individualized ML approach was confirmed in a cohort of women who gave birth and did not experience PPD. Moreover, we assessed the impact of a previous history of depression on model performance. We determined the variable importance for predicting the PPD period using Shapley additive explanations and confirmed the results using a permutation approach. Finally, we compared our individualized ML methodology against a traditional cohort-based ML model for PPD recognition and compared model performance using sensitivity, specificity, precision, recall, and F1-score. RESULTS: Patient cohorts of women with valid Fitbit data who gave birth included <20 with PPD and 39 without PPD. Our results demonstrated that intraindividual models using digital biomarkers discerned among prepregnancy, pregnancy, postpartum without depression, and postpartum with depression (ie, PPD diagnosis) periods, with random forest (mAUC=0.85; κ=0.80) models outperforming generalized linear models (mAUC=0.82; κ=0.74), support vector machine (mAUC=0.75; κ=0.72), and k-nearest neighbor (mAUC=0.74; κ=0.62). Model performance decreased in women without PPD, illustrating the method's specificity. Previous depression history did not impact the efficacy of the model for PPD recognition. Moreover, we found that the most predictive biomarker of PPD was calories burned during the basal metabolic rate. Finally, individualized models surpassed the performance of a conventional cohort-based model for PPD detection. CONCLUSIONS: This research establishes consumer wearables as a promising tool for PPD identification and highlights personalized ML approaches, which could transform early disease detection strategies.

Study on awareness and management based health action using video intervention (SAMBHAV) for postpartum depression among mothers attending immunisation clinic in a tertiary medical college hospital: Study protocol.

INTRODUCTION: Pregnancy exerts a detrimental effect on women's mental health. Maternal mental health is considered as one of the public health concerns as it impacts the health of both mother and the child. One in five people in developing countries experience serious mental health issues during pregnancy and after giving birth. In India, postpartum depression (PPD) affects 22% of women, according to a research by WHO. The available data on mental health literacy among women, showed that only 50.7% of the postpartum mothers who were attending paediatric tertiary care centres had adequate knowledge about PPD. It is crucial to diagnose early and adequately manage postpartum depression to avoid long-term consequences. It is also essential to seek help and utilise the available resources and services to avoid worsening of the condition and to aid in the recovery. This demonstrates the need to promote awareness, improve help seeking, reduce stigma and treatment gap associated with PPD through educational video intervention specific to cultural context and beliefs. MATERIALS AND METHODS: This is a quasi-experimental study without a control group that attempts to improve the awareness among the mothers about postpartum depression to understand better about the condition and also its management through video intervention. The video intervention will be developed in regional language specific to the cultural context of the setting. The video script will be finalised from the findings of the available literature and also through focus group discussion among mothers and health care professionals which will be analysed qualitatively using thematic identification. The study will use a standardized Postpartum Depression Literacy Scale (PoDLIS) which will be quantitatively analysed using paired t test before and after the intervention. Repeated measures of ANOVA will also be used to analyse the changes in literacy scale scores with respect to socio demographic variables. The mothers will also be screened for PPD using Patient Health Questionnaire 9 (PHQ 9) and feedback will be collected and analysed to find the overall usefulness of video. DISCUSSION: If it becomes apparent that this video intervention is successful in raising awareness of PPD among postpartum mothers and reducing stigma, it can be used to aid early identification of mothers with PPD which can result in early management and improved health outcome for both mothers and children. The major goals of the video intervention are to raise awareness, lessen stigma, and prevent PPD through strong family support, adopting healthy lifestyles, having access to information, practising self-care, and enhancing help-seeking. TRIAL REGISTRATION: The trial is registered under the Clinical Trial Registry- India (CTRI) (CTRI/2023/03/050836). The current study adheres to the SPIRIT Guidelines [See S1 Checklist: SPIRIT Guidelines].

The Role of Social Support in Perinatal Mental Health and Psychosocial Stimulation.

Social support refers to the help someone receives emotionally or instrumentally from their social network. Poor social support in the perinatal period has been associated with increased risk for symptoms of common mental disorders, including depression and posttraumatic stress symptoms (PTS), which may impact parenting behavior. Whether social support impacts parenting behaviors, independent of mental health symptomatology, remains unclear. Among N=309 participants of the Scaling Up Maternal Mental healthcare by Increasing access to Treatment (SUMMIT Trial), a large perinatal depression and anxiety treatment trial, we explored the relations between perceived social support, perinatal depressive and PTS symptoms, and psychosocial stimulation provided by the parent in their home environment. Social support was measured at baseline using the Multidimensional Scale of Perceived Social Support (MSPSS). Perinatal depressive symptoms were measured by the Edinburgh Postnatal Depression Scale (EPDS) and PTS symptoms were measured by the Abbreviated PTSD Checklist (PCL-6) at baseline, 3-, and 6-months post-randomization. Psychosocial stimulation was assessed by the Home Observation Measurement of the Environment (HOME) when the infant was between 6 to 24 months. Using stepwise hierarchical regressions, we found: (1) perceived social support at baseline significantly predicted both depressive and PTS symptoms at 3-months post-randomization, even when controlling for baseline depressive and PTS symptoms; and (2) while neither depressive nor PTS symptoms were significantly associated with psychosocial stimulation, perceived social support at baseline was a significant predictor. Clinical implications regarding treatment of perinatal patients are discussed.

Racial And Ethnic Inequities In Postpartum Depressive Symptoms, Diagnosis, And Care In 7 US Jurisdictions.

Understanding whether racial and ethnic inequities exist along the postpartum mental health care continuum is vital because inequitable identification of depression can lead to inequitable referral to and receipt of care. We aimed to expand on existing cross-sectional and single-state data documenting potential racial and ethnic disparities in postpartum depression care. Using early (from two to six months) and late (from twelve to fourteen months) postpartum survey data from seven US jurisdictions, we documented patterns of early postpartum depressive symptoms, perinatal mood and anxiety disorder (PMAD) diagnosis, and receipt of postpartum mental health care overall and by racial and ethnic identity. Of 4,542 people who delivered live births in 2020, 11.8 percent reported early postpartum depressive symptoms. Among the sample with these symptoms, only 25.4 percent reported receiving a PMAD diagnosis, and 52.8 percent reported receiving some form of postpartum mental health care. There were no significant differences in diagnosis by race and ethnicity. Respondents identifying as Asian; Native Hawaiian or Pacific Islander; Southwest Asian, Middle Eastern, or North African; Hispanic; and non-Hispanic Black were significantly less likely than non-Hispanic White respondents to receive mental health care, demonstrating stark inequities in the management of postpartum depressive symptoms. Policies mandating and reimbursing universal postpartum depression screening, facilitating connection to care, reducing insurance coverage gaps, and enhancing clinician training in culturally responsive care may promote equitable postpartum mental health care.

Combining the Antenatal Risk Questionnaire and the Edinburgh Postnatal Depression Scale in Early Pregnancy in Danish Antenatal Care-A Qualitative Descriptive Study.

Pregnant women with a history of mental disorders, neglect, or low social support are at increased risk of mental health problems. It is crucial to identify psychosocial risk factors in early pregnancy to reduce the risk of short- and long-term health consequences for mother and child. The Antenatal Risk Questionnaire has been found acceptable as a psychosocial screening tool among pregnant women in Australia, but it has not been tested in a Scandinavian context. The aim of this study was to explore the experiences of pregnant women when using the Antenatal Risk Questionnaire and the Edinburgh Postnatal Depression Scale as part of a model to identify psychosocial vulnerabilities in pregnancy in Denmark. We conducted individual interviews (n = 18) and used thematic analysis. We identified two main themes: (1) Feeling heard and (2) An occasion for self-reflection. Overall, the pregnant women deemed the online ANRQ/EPDS acceptable as a screening tool. The screening model provided a feeling of being heard and provided an occasion for self-reflection about mental health challenges related to pregnancy and motherhood. However, some women expressed that the screening raised concerns and fear of the consequences of answering honestly. A non-judgmental, open, emphatic, and reassuring approach by clinicians may help reduce stigma.

Improving Maternal Depression Screening in the Neonatal Intensive Care Unit.

PURPOSE: To examine whether self-perceived benefits of mental health treatment differed between mothers of babies in the neonatal intensive care unit with and without a positive screen for depression based on their Edinburgh Postnatal Depression score. STUDY DESIGN AND METHODS: Mothers were recruited in person pre-COVID-19 pandemic, and via phone call and online advertisement during the pandemic. Mothers completed a 10-item depression scale and whether they believed they would benefit from mental health treatment. A chi-square test determined the difference in perceived benefit between mothers who screened positively for depression and those who did not. RESULTS: This secondary analysis included 205 mothers, with an average age of 29. Of the 68 mothers who screened positively for depression, 12 believed that would not benefit from mental health intervention. Of the 137 who screened negatively for depression, 18 believed they would benefit from mental health intervention. Mothers who screened negatively for depression were significantly less likely to believe they would benefit from mental health intervention. CLINICAL IMPLICATIONS: Depression screening scales offer guidance on which mothers to flag for follow-up, but neither on how a mother will respond nor how to effectively approach a mother about her mental health. Nurses can improve identification and follow-up of depressed mothers in the neonatal intensive care unit by asking mothers about their perceived need for mental health treatment.

From pregnancy to the postpartum: Unraveling the complexities of symptom profiles among trauma-exposed women.

BACKGROUND: Many women experience new onset or worsening of existing posttraumatic stress disorder (PTSD) symptoms during pregnancy and the early postpartum period. However, perinatal PTSD symptom profiles and their predictors are not well understood. METHODS: Participants (N = 614 community adults) completed self-report measures across three methodologically similar longitudinal studies. Mixture modeling was used to identify latent subgroups of trauma-exposed women with distinct patterns of symptoms at pregnancy, 1-month, and 3-month postpartum. RESULTS: Mixture modeling demonstrated two classes of women with relatively homogenous profiles (i.e., low vs. high symptoms) during pregnancy (n = 237). At 1-month postpartum (n = 391), results suggested a five-class solution: low symptoms, PTSD only, depression with primary appetite loss, depression, and comorbid PTSD and depression. At 3-months postpartum (n = 488), three classes were identified: low symptoms, elevated symptoms, and primary PTSD. Greater degree of exposure to interpersonal trauma and reproductive trauma, younger age, and minoritized racial/ethnic identity were associated with increased risk for elevated symptoms across the perinatal period. LIMITATIONS: Only a subset of potential predictors of PTSD symptoms were examined. Replication with a larger and more racially and ethnically diverse sample of pregnant women is needed. CONCLUSIONS: Results highlight limitations of current perinatal mental health screening practices, which could overlook women with elevations in symptoms (e.g., intrusions) that are not routinely assessed relative to others (e.g., depressed mood), and identify important risk factors for perinatal PTSD symptoms to inform screening and referral.

Anxiety and depressive symptoms in first-time parents: A dyadic longitudinal study based on attachment theory.

BACKGROUND: The aim of this study was to examine the temporal and dyadic associations between anxiety and depressive symptoms during the transition to parenthood (TTP), while exploring the antecedence of attachment insecurities in these associations. METHOD: Couples of first-time parents (N = 211) completed the State-Trait Anxiety Inventory, the Edinburgh Postnatal Depression Scale, the Experiences in Close Relationships scale, and a sociodemographic questionnaire during the second trimester of pregnancy and at four and twelve months postpartum. RESULTS: Both prenatal anxiety and depressive symptoms predicted postnatal depressive and anxiety symptoms. Prenatal attachment-related anxiety predicted higher postnatal anxiety and depressive symptoms whereas prenatal attachment-related avoidance predicted higher postnatal depressive symptoms only. Parents whose partners had a higher level of prenatal attachment-related anxiety experienced higher postnatal anxious and depressive symptoms via their own's prenatal depressive symptoms. Parents whose partners had a higher level of prenatal attachment-related avoidance experienced higher postnatal depressive symptoms via their own's prenatal anxious symptoms. No gender differences were found for these associations. LIMITATIONS: The sample was predominantly composed of educated heterosexual French-Canadian Caucasian couples and all measures were self-reported. CONCLUSIONS: Our original findings suggest that professionals should routinely screen for anxiety and depressive symptoms in both partners from pregnancy up to one year postpartum. Also, our findings suggest addressing attachment insecurities with both partners to prevent the development of future symptoms during pregnancy or after childbirth. Finally, our study supports the relevance of considering these symptoms at subclinical levels during the TTP.

Factor structure and longitudinal invariance for the Chinese Mainland version of the Edinburgh postnatal depression scale during pregnancy.

BACKGROUND: There are inconsistent results on the Edinburgh Postnatal Depression Scale's (EPDS) factor structure and longitudinal invariance among different cultures. Furthermore, limited relevant studies in Chinese pregnant women exist. PURPOSE: To test the factor structure of the Chinese Mainland EPDS during pregnancy and conduct longitudinal invariance analyses. METHODS: A national multi-centre cohort study was conducted among 1207 pregnant women selected consecutively by convenience sampling from five hospitals in Zhuhai, Taiyuan, Haidian, Changchun, and Shenzhen in China between August 2015 and October 2016. Depression was measured by the EPDS during gestational weeks 10-13, 15-18, 23-25, 30-32 and 36-37, respectively.s RESULTS: Three factors with eigenvalues nearly larger than 1.0 were optimal for the Chinese Mainland EPDS, labelled "anxiety," "anhedonia," and "depression," and contained items 3-5, 1-2, and 6-10, respectively. The confirmatory factor analysis results of standardized root mean square residual (SRMR) = 0.034, root mean square error of approximation (RMSEA) = 0.049, comparative fit index (CFI) = 0.968, Tucker-Lewis index (TLI) = 0.954, and χ2, p < 0.05 indicated good fit. For the longitudinal invariance tests, the configural invariance was met, with the CFI and TLI both higher than 0.90 and the RMSEA lower than 0.08 (CFI = 0.919, TLI = 0.908, and RMSEA = 0.034). The metric-, scalar-, and strict invariances were met. CONCLUSIONS: The three-factor model of the Chinese Mainland EPDS is invariant in pregnancy, suggesting stability and comparability in identifying the women screened positive at different points during pregnancy and making the scale feasible to screen prenatal depression and anxiety simultaneously.

Discrimination and perinatal depressive symptoms: The protective role of social support and resilience.

BACKGROUND: Discrimination is an important social determinant of perinatal depression; however, evidence is limited regarding modifiable social and psychological factors that may moderate this association. We examined whether social support and resilience could protect against the adverse effects of discrimination on perinatal depressive symptoms. METHODS: Pregnant people (N = 589) receiving Expect With Me group prenatal care in Nashville, TN and Detroit, MI completed surveys during third trimester of pregnancy and six months postpartum. Linear regression models tested the association between discrimination and depressive symptoms, and the moderating effects of social support and resilience, during pregnancy and postpartum. RESULTS: The sample was predominantly Black (60.6 %), Hispanic (15.8 %) and publicly insured (71 %). In multivariable analyses, discrimination was positively associated with depressive symptoms during pregnancy (B = 4.44, SE = 0.37, p ≤0.001) and postpartum (B = 3.78, SE = 0.36, p < 0.001). Higher social support and resilience were associated with less depressive symptoms during pregnancy (B = -0.49, SE = 0.08, p < 0.001 and B = -0.67, SE = 0.10, p < 0.001, respectively) and postpartum (B = -0.32, SE = 0.07, p < 0.001 and B = -0.56, SE = 0.08, p < 0.001, respectively). Social support was protective against discrimination (pregnancy interaction B = -0.23, SE = 0.09, p = 0.011; postpartum interaction B = -0.35, SE = 0.07, p < 0.001). There was no interaction between discrimination and resilience at either time. LIMITATIONS: The study relied on self-reported measures and only included pregnant people who received group prenatal care in two urban regions, limiting generalizability. CONCLUSIONS: Social support and resilience may protect against perinatal depressive symptoms. Social support may also buffer the adverse effects of discrimination on perinatal depressive symptoms, particularly during the postpartum period.

Heart Rate Variability Measurement Can Be a Point-of-Care Sensing Tool for Screening Postpartum Depression: Differentiation from Adjustment Disorder.

Postpartum depression (PPD) is a serious mental health issue among women after childbirth, and screening systems that incorporate questionnaires have been utilized to screen for PPD. These questionnaires are sensitive but less specific, and the additional use of objective measures could be helpful. The present study aimed to verify the usefulness of a measure of autonomic function, heart rate variability (HRV), which has been reported to be dysregulated in people with depression. Among 935 women who had experienced childbirth and completed the Edinburgh Postnatal Depression Scale (EPDS), HRV was measured in EPDS-positive women (n = 45) 1 to 4 weeks after childbirth using a wearable device. The measurement was based on a three-behavioral-state paradigm with a 5 min duration, consisting of rest (Rest), task load (Task), and rest-after-task (After) states, and the low-frequency power (LF), the high-frequency power (HF), and their ratio (LF/HF) were calculated. Among the women included in this study, 12 were diagnosed with PPD and 33 were diagnosed with adjustment disorder (AJD). Women with PPD showed a lack of adequate HRV regulation in response to the task load, accompanying a high LF/HF score in the Rest state. On the other hand, women with AJD exhibited high HF and reduced LF/HF during the After state. A linear discriminant analysis using HRV indices and heart rate (HR) revealed that both the differentiation of PPD and AJD patients from the controls and that of PPD patients from AJD patients were possible. The sensitivity and specificity for PPD vs. AJD were 75.0% and 90.9%, respectively. Using this paradigm, an HRV measurement revealed the characteristic autonomic profiles of PPD and AJD, suggesting that it may serve as a point-of-care sensing tool in PPD screening systems.

What Is Perinatal Depression?

This JAMA Patient Page describes perinatal depression screening and diagnosis and available treatment options.

Home Visits for Postpartum Depression Intervention among Low-Income Latinas: Results from the PST4PPD Project.

Research shows that U.S. Latinas are at risk for high rates of postpartum depression (PPD) but have low rates of treatment compared to non-Hispanic White mothers. This study examined the feasibility of a multi-site home-visiting intervention (PST4PPD) conducted by bilingual community health workers (CHW) among low-income Latina mothers. A one-group, pre/posttest design and paired sample's t-test were used to measure changes in depressive symptoms and self-efficacy for participants (n = 76) across five sites. The Edinburgh Postnatal Depression Scale (EPDS) and the Patient Health Questionnaire (PHQ-9) were used to assess depression; the New General Self-Efficacy Scale and the Maternal Efficacy Questionnaire measured general self-efficacy and parenting self-efficacy. Depression scores decreased significantly from pretest to posttest. Participants' general self-efficacy, maternal self-efficacy, and PPD knowledge increased. With a 76% completion rate, demonstrable improvements were seen in participants' depression and self-efficacy. Implications for addressing modifiable factors such as self-efficacy and stress management are discussed.

Postpartum blues: a predictor of postpartum depression, from the IGEDEPP Cohort.

BACKGROUND: To identify the different factors associated with postpartum blues and its association with postpartum depression, from a large French cohort. METHODS: We conducted an analysis of the Interaction Gene Environment in Postpartum Depression cohort, which is a prospective, multicenter cohort including 3310 women. Their personal (according to the Diagnostic and Statistical Manual, fifth edition [DSM-5]) and family psychiatric history, stressful life events during childhood, pregnancy, and delivery were collected. Likewise, the French version of the Maternity Blues Scale questionnaire was administered at the maternity department. Finally, these women were assessed at 8 weeks and 1 year postpartum by a clinician for postpartum depression according to DSM-5 criteria. RESULTS: The prevalence of postpartum blues in this population was 33%, and significant factors associated with postpartum blues were found as personal (aOR = 1.2) and family psychiatric history (aOR = 1.2), childhood trauma (aOR = 1.3), obstetrical factors, or events related to the newborn, as well as an experience of stressful life events during pregnancy (aOR = 1.5). These factors had a cumulative effect, with each additional factor increasing the risk of postpartum blues by 31%. Furthermore, adjustment for sociodemographic measures and history of major depressive episode revealed a significant association between postpartum blues and postpartum depression, mainly at early onset, within 8 weeks after delivery (aOR = 2.1; 95% CI = 1.6-2.7), but also at late onset (aOR = 1.4; 95% CI = 1.1-1.9), and mainly if the postpartum blues is severe. CONCLUSION: These results justify raising awareness among women with postpartum blues, including reassurance and information about postpartum depression, its symptomatology, and the need for management in case of worsening or prolongation of postpartum blues.

When is the best time to screen for perinatal anxiety? A longitudinal cohort study.

BACKGROUND: For screening for anxiety during pregnancy and after birth to be efficient and effective it is important to know the optimal time to screen in order to identify women who might benefit from treatment. AIMS: To determine the optimal time to screen for perinatal anxiety to identify women with anxiety disorders and those who want treatment. A secondary aim was to examine the stability and course of perinatal anxiety over time. METHODS: Prospective longitudinal cohort study of 2243 women who completed five screening questionnaires of anxiety and mental health symptoms in early pregnancy (11 weeks), mid-pregnancy (23 weeks), late pregnancy (32 weeks) and postnatally (8 weeks). Anxiety and mental health questionnaires were the GAD7, GAD2, SAAS, CORE-10 and Whooley questions. To establish presence of anxiety disorders diagnostic interviews were conducted with a subsample of 403 participants. RESULTS: Early pregnancy was the optimal time to screen for anxiety to identify women with anxiety disorders and women wanting treatment at any time during pregnancy or postnatally. These findings were consistent across all five questionnaires of anxiety and mental health. Receiving treatment for perinatal mental health problems was most strongly associated with late pregnancy and/or postnatal assessments. Anxiety symptoms were highest in early pregnancy and decreased over time. CONCLUSION: Findings show that screening in early pregnancy is optimal for identifying women who have, or develop, anxiety disorders and who want treatment. This has clear implications for practice and policy for anxiety screening during the perinatal period.