The impact of education, country, race and ethnicity on the self-report of postpartum depression using the Edinburgh Postnatal Depression Scale

What exacerbates and what eases Chinese rural residents' depression during the COVID-19?

During the COVID-19 pandemic, there has been a growing prevalence of mental disorders, particularly in China, where anti-epidemic measures have been more stringent compared to other countries. This has resulted in a heightened psychological burden on individuals. However, the actual psychological impacts of COVID-19 on Chinese residents have not been clearly established. In this study, we aimed to investigate the effects of various factors, including personal and household characteristics, social networks, and epidemic-related variables (such as rural residents' knowledge of COVID-19 virus transmission and prevention), on rural residents' depression. Using a two-year balanced panel dataset encompassing 152 villages and 676 samples in both 2019 and 2020, we employed the Ordinary Least Squares (OLS) model to estimate the influence of these factors and compare their coefficients to examine the changes in rural residents' depression between the pre-epidemic and during-epidemic periods. Our study highlights significant factors contributing to rural residents' depression during the COVID-19 pandemic, including isolation (2.063, p < 0.01) and concern about COVID-19 infection (0.128, p < 0.05). Conversely, factors such as health status (-0.714, p < 0.01) and the number of friends (-0.017, p < 0.01) were found to significantly alleviate depression among rural residents. Moreover, we identify key moderators that mitigate the negative impact of infection concerns on mental health. Specifically, the health status of rural residents (-0.166, p < 0.01), the size of their family network (-0.036, p < 0.05), and their knowledge of COVID-19 transmission and prevention (-0.184, p < 0.05) significantly moderated the relationship between infection concerns and depression. These findings contribute to a better understanding of the psychological implications of the pandemic and provide valuable insights for the development of targeted interventions to address mental health challenges in rural populations.

Systematic Review of Barriers to and Facilitators of Screening for Postpartum Depression at Well-Child Visits in the United States

OBJECTIVE

To identify and evaluate barriers to and facilitators of screening for postpartum depression (PPD) during well-child visits in the United States. Additionally, to describe prior work on PPD screening tool evaluation and outcomes from PPD screenings conducted within the well-child setting.

DATA SOURCES

A systematic review was conducted following Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines. Five databases (Pub Med, PsycINFO, Web of Science, CINAHL, and Cochrane Library) were searched.

STUDY SELECTION

Randomized controlled trials, case studies, cross-sectional studies, case-control studies, cohort studies, qualitative studies, and quasi-experimental studies conducted in the United States were included. The Standard Quality Assessment Criteria Tool (QualSyst) was used to assess the methodologic quality of each included study.

DATA EXTRACTION

Sample, setting, methods, screening tools used, location of study setting, intervention, and salient findings were extracted and summarized for further analysis and synthesis.

DATA SYNTHESIS

Quantitative studies were rated on 14 aspects, and qualitative studies were rated on 10 aspects, per QualSyst. Studies received a score of 2, 1, 0, or not applicable based on scoring criteria, with higher scores indicating greater methodologic quality.

CONCLUSION

We found that barriers to PPD screening included concerns regarding time for screening, adequate training, and limited ability for referral. Facilitators of PPD screening included electronic prompts for providers, as well as tool availability and familiarity. Our results indicate that education and training about PPD screening in the pediatric setting are important next steps in addressing the rising concern of PPD in the United States.

A Measurement Invariance Analysis of the Anxiety Scale for Autism-Adults in a Sample of Autistic and Non-Autistic Men and Women

The Anxiety Scale for Autism-Adults (ASA-A) captures the autistic anxiety experience, but we do not know whether it is structurally equivalent for men and women, or non-autistic people. Measurement invariance analysis considered gender and diagnostic status (342 cis-gender autistic men (N = 105) and women (N = 237), 316 cis-gender non-autistic men (N = 104) and women (N = 212)). Strict invariance was achieved between autistic men and women and between non-autistic men and women, but the ASA-A structure is quantitatively different in autistic compared to non-autistic adults. Therefore, this tool cannot be used to directly compare anxiety between these groups. Autistic women scored significantly higher on the ASA-A than autistic men and Uncertainty was the highest scoring factor for autistic participants. Future research should include alternative gender identities.

Comparison of the EPDS and PHQ-9 in the assessment of depression among pregnant women: Similarities and differences

BACKGROUND

Perinatal depression has attracted increasing attention. However, a detailed investigation of the network structure of depression is still lacking. We aim to examine the similarities and differences between the Edinburgh Postnatal Depression Scale (EPDS) and Patient Health Questionnaire (PHQ-9) from a network perspective.

METHODS

A cross-sectional study was conducted from August 2020 to March 2022. We followed the STROBE checklist to report our research. Pregnant women (n = 2484) were recruited. All participants completed the EPDS and PHQ-9. We mainly used network analyses for statistical analysis and constructed two network models: the EPDS and PHQ-9 models.

RESULTS

The detection rates of prenatal depression measured by the EPDS and PHQ-9 were 30.2 % and 28.2 %, respectively. In the EPDS network, the EPDS8 'sad or miserable' node (strength = 1.2161) was the most central node, and the EPDS10 'self-harming' node (strength = 0.4360) was the least central node. In the PHQ-9 network, the PHQ4 'fatigue' node (strength = 0.9815) was the most central node, and PHQ9 'suicide' was the least central symptom (strength = 0.5667). For both models, 'sad' acted as an important central symptom.

CONCLUSIONS

Psychological symptoms may be more important in assessing depression using the EPDS, while physical symptoms may be more influential in assessing depression using the PHQ-9. For both the EPDS and PHQ-9, "sad" was an important central symptom, suggesting that it may be the most important target for further maternal depression interventions in the future.

Diagnosis of peripartum depression disorder: A state-of-the-art approach from the COST Action Riseup-PPD

BACKGROUND

Peripartum depression (PPD) is a major depression disorder (MDD) episode with onset during pregnancy or within four weeks after childbirth, as defined in DSM-5. However, research suggests that PPD may be a distinct diagnosis. The goal of this study was to summarize the similarities and differences between PPD and MDD by synthesizing the current research on PPD diagnosis concerning different clinical features and give directions for improving diagnosis of PPD in clinical practice.

METHODS

To lay the groundwork for this narrative review, several databases were searched using general search phrases on PPD and its components of clinical diagnosis.

RESULTS

When compared to MDD, peripartum depression exhibits several distinct characteristics. PPD manifests with a variety of symptoms, i.e., more anxiety, psychomotor symptoms, obsessive thoughts, impaired concentration, fatigue and loss of energy, but less sad mood and suicidal ideation, compared to MDD. Although PPD and MDD prevalence rates are comparable, there are greater cross-cultural variances for PPD. Additionally, PPD has some distinct risk factors and mechanisms such as distinct ovarian tissue expression, premenstrual syndrome, unintended pregnancy, and obstetric complications.

CONCLUSION

There is a need for more in-depth research comparing MDD with depression during pregnancy and the entire postpartum year. The diagnostic criteria should be modified, particularly with (i) addition of specific symptoms (i.e., anxiety), (ii) onset specifier extending to the first year following childbirth, (iii) and change the peripartum onset specifier to either "pregnancy onset" or "postpartum onset". Diagnostic criteria for PPD are further discussed.

Racial Disparities in Diagnosis of Postpartum Mood and Anxiety Disorders Among Symptomatic Medicaid Enrollees, 2012-2015

OBJECTIVE

This study quantified the prevalence of postpartum mood and anxiety disorder (PMAD) diagnoses among symptomatic Michigan Medicaid enrollees and explored factors associated with receiving a diagnosis.

METHODS

Data sources comprised Michigan Medicaid administrative claims and Phase 7 Michigan Pregnancy Risk Assessment Monitoring System (MI-PRAMS) survey responses, linked at the individual level. Participants were continuously enrolled in Michigan Medicaid, delivered a live birth (2012-2015), responded to the survey, and screened positive for PMAD symptoms on the adapted two-item Patient Health Questionnaire. Unadjusted and adjusted weighted logistic regression analyses were used to predict the likelihood of having a PMAD diagnosis (for the overall sample and stratified by race).

RESULTS

The weighted analytic cohort represented 24,353 deliveries across the 4-year study. Only 19.8% of respondents with symptoms of PMAD had a PMAD diagnosis between delivery and 3 months afterward. Black respondents were less likely to have PMAD diagnoses (adjusted odds ratio [AOR]=0.23, 95% CI=0.11-0.49) compared with White respondents. Among White respondents, no covariates were significantly associated with having a diagnosis. However, among Black respondents, more comorbid conditions and more life stressors were statistically significantly associated with having a diagnosis (AOR=3.18, 95% CI=1.27-7.96 and AOR=3.12, 95% CI=1.10-8.88, respectively).

CONCLUSIONS

Rate of PMAD diagnosis receipt differed by race and was low overall. Black respondents were less likely than White respondents to receive a diagnosis. Patient characteristics influencing diagnosis receipt also differed by race, indicating that strategies to improve detection of these disorders require a tailored approach.

Attachment expectations moderate links between social support and maternal adjustment from 6 to 18 months postpartum

Significant links exist between one's perception of available social support and mental health outcomes, including during the transition to motherhood. Yet, attachment theory posits that individuals do not benefit equally from social support. As such, we examined the influence of attachment representations (i.e., secure base script knowledge) as they potentially moderate links between social support and psychological distress in a 1-year longitudinal study of an ethnically diverse (56% White) sample of infant-mother dyads. We hypothesized that higher social support would predict lower maternal psychological distress and this relation would be strongest in those with higher secure base script knowledge. Results indicated that maternal perceptions of social support were significantly negatively correlated with psychological distress. Analyses revealed that secure base script scores significantly moderated these associations. Interestingly, for those high in script knowledge, low social support predicted greater psychological distress. For those low in script knowledge, social support was unrelated to psychological distress. This pattern suggested that those who expect care (i.e., high secure base script knowledge) but receive minimal support (i.e., low perceived social support) find motherhood uniquely dysregulating. Practitioners may do well to examine individuals' attachment expectations in relation to their current social support.

Prenatal Exposure to Nonpersistent Environmental Chemicals and Postpartum Depression

Importance

Postpartum depression (PPD) affects up to 20% of childbearing individuals, and a significant limitation in reducing its morbidity is the difficulty in modifying established risk factors. Exposure to synthetic environmental chemicals found in plastics and personal care products, such as phenols, phthalates, and parabens, are potentially modifiable and plausibly linked to PPD and have yet to be explored.

Objective

To evaluate associations of prenatal exposure to phenols, phthalates, parabens, and triclocarban with PPD symptoms.

Design, Setting, and Participants

This was a prospective cohort study from 5 US sites, conducted from 2006 to 2020, and included pooled data from 5 US birth cohorts from the National Institutes of Health Environmental Influences on Child Health Outcomes (ECHO) consortium. Participants were pregnant individuals with data on urinary chemical concentrations (phenols, phthalate metabolites, parabens, or triclocarban) from at least 1 time point in pregnancy and self-reported postnatal depression screening assessment collected between 2 weeks and 12 months after delivery. Data were analyzed from February to May 2022.

Exposures

Phenols (bisphenols and triclosan), phthalate metabolites, parabens, and triclocarban measured in prenatal urine samples.

Main Outcomes and Measures

Depression symptom scores were assessed using the Edinburgh Postnatal Depression Scale (EPDS) or the Center for Epidemiologic Studies Depression Scale (CES-D), harmonized to the Patient-Reported Measurement Information System (PROMIS) Depression scale. Measures of dichotomous PPD were created using both sensitive (EPDS scores ≥10 and CES-D scores ≥16) and specific (EPDS scores ≥13 and CES-D scores ≥20) definitions.

Results

Among the 2174 pregnant individuals eligible for analysis, nearly all (>99%) had detectable levels of several phthalate metabolites and parabens. PPD was assessed a mean (SD) of 3 (2.5) months after delivery, with 349 individuals (16.1%) and 170 individuals (7.8%) screening positive for PPD using the sensitive and specific definitions, respectively. Linear regression results of continuous PROMIS depression T scores showed no statistically significant associations with any chemical exposures. Models examining LMW and HMW phthalates and di (2-ethylhexyl) phthalate had estimates in the positive direction whereas all others were negative. A 1-unit increase in log-transformed LMW phthalates was associated with a 0.26-unit increase in the PROMIS depression T score (95% CI, -0.01 to 0.53; P = .06). This corresponded to an odds ratio (OR) of 1.08 (95% CI, 0.98-1.19) when modeling PPD as a dichotomous outcome and using the sensitive PPD definition. HMW phthalates were associated with increased odds of PPD (OR, 1.11; 95% CI, 1.00-1.23 and OR, 1.10; 95% CI, 0.96-1.27) for the sensitive and specific PPD definitions, respectively. Sensitivity analyses produced stronger results.

Conclusions and Relevance

Phthalates, ubiquitous chemicals in the environment, may be associated with PPD and could serve as important modifiable targets for preventive interventions. Future studies are needed to confirm these observations.

Perinatal Depression Screening Among Sexual Minority Women

Importance

A substantial number of births in the US are to sexual minority women (17% based on a nationally representative survey), yet there is little research on perinatal depression screening rates or symptom endorsement among sexual minority women (including women who identify as lesbian, bisexual, queer, pansexual, asexual, demisexual, and kinky as well as other-identified women who have sex with women). High rates of risk factors for perinatal depression (eg, intimate partner violence and history of mental illness) among sexual minority individuals magnify this gap in the literature.

Objective

To describe the prevalence of female-identified sexual minority people giving birth in an academic medical center and compare perinatal depression screening rates and scores among sexual minority women and heterosexual cisgender women.

Design, Setting, and Participants

This retrospective cohort study used deidentified medical record review of 18 243 female-identified individuals who gave birth at an academic medical center in Chicago, Illinois, between January 1 and December 31, 2019. Data were analyzed from April 5, 2021, to August 1, 2022.

Main Outcomes and Measures

Proportion of women identified as having sexual minority status in the medical record, rates of standard care administration of the 9-item Patient Health Questionnaire between sexual minority women and heterosexual women, and depression screening scores and rates of positive depression screening results for sexual minority and heterosexual women.

Results

Among 18 243 women (mean [SD] age, 33.8 [5.1] years; 10 453 [57.3%] of non-Hispanic White race and ethnicity), only 280 (1.5%; 95% CI, 1.3%-1.7%) were identified as having sexual minority status in the medical record. Significantly more sexual minority women vs heterosexual women attended at least 1 prenatal care visit (56 [20.0%] vs 2459 [13.7%]; P = .002) and at least 1 postpartum care visit (52 [18.6%] vs 2304 [12.8%]; P = .004). Sexual minority women were more likely to be screened for depression during postpartum care (odds ratio, 1.77; 95% CI, 1.22-2.52; P = .002) and more likely to screen positive for depression during the postpartum period (odds ratio, 2.38; 95% CI, 0.99-5.02; P = .03) than heterosexual women.

Conclusions and Relevance

In this cohort study, sexual minority women identified in the medical record were highly engaged in obstetric care yet at high risk of postpartum depression. In addition, their sexual orientation was largely undocumented in medical records. These results highlight the need for investigations that include strategies for measuring sexual orientation because medical record review is unlikely to reliably capture these sexual identities during the perinatal period.

Predictors of Postpartum Depression Among Women with Low Incomes in the United States

PURPOSE

To evaluate the predictors of postpartum depression and to examine the effects of maternal racial identity on postpartum depression among women with low incomes in the United States.

STUDY DESIGN AND METHODS

We conducted a secondary data analysis using baseline data from the Baby's First Years study, including postpartum women living below the federal poverty line who were recruited from four diverse communities in the United States. Postpartum depression symptoms were assessed using the Center for Epidemiologic Studies Depression Scale (CES-D). Logistic regressions were performed to identify associations between pre-identified postpartum depression risk factors and postpartum depression among participants, followed by predictive margins analyses to elaborate on probability of postpartum depression across different racial identity groups in the sample.

RESULTS

The sample included 1,051 postpartum women. Almost one-half of participants identified as Black (45.9%), followed by White (20.7%), American Indian (1.8%), and Asian (1.3%). Prevalence of postpartum depression in the sample was 24%. Financial insecurity and alcohol use were positively associated with postpartum depression, whereas level of education and reported physical health were negatively associated with postpartum depression. Mothers who identified as Black had an 8.3% higher probability of postpartum depression than that of White mothers in the sample.

CLINICAL IMPLICATIONS

Nurses working with populations with low income should assess social determinants of health to provide holistic mental health care. Women with low incomes should be referred to resources which account for their financial burden. Racial disparities exist in perinatal care, and birth and postpartum mental health outcomes. It is crucial to address the systemic racism faced by Black mothers experiencing postpartum depression.

Thyroid Predictors of Postpartum Mood Disorders

Postpartum mood disorders (PMD) are currently among the leading causes of maternal postpartum morbidity and mortality. PMD include the conditions of postpartum blues (PB), postpartum depression (PPD), and postpartum psychosis. The pathogenesis of PMDs are ambiguous, and there are no reliable prenatal predictive markers despite current research efforts. Even though reliable indicators have not been found, leading ideas suggest an etiology of hormonal fluctuations. Although thyroid markers have long been linked to psychiatric disorders such as major depressive disorder (MDD), how they correlate with PMDs is still unclear. This study aimed to evaluate the pathophysiological link between thyroid function, PMDs, and the usefulness of thyroid markers as indicators of their occurrence and severity. The methodology consisted of a narrative literature review. Several inclusion and exclusion criteria were used to filter the results of literature searches in PubMed. Studies were included if they discussed any marker related to thyroid endocrinology in relation to the incidence or pathophysiology of any PMD. Both primary and secondary analyses were included. The permissive inclusion criteria were used due to the relative scarcity of research on the topic and the ambiguous pathophysiology of PMD. The results demonstrated the potential utility of thyroid autoimmunity as a predictor of late-onset PPD. Hypothyroidism, low euthyroid hormone levels, and the presence of thyroid autoantibodies were correlated with increased incidence of PPD and late postpartum depressive symptoms, past the timeline of PB. Most notably a rapid postpartum drop in cortisol level may precipitate thyroid autoimmunity in anti-thyroid peroxidase (TPO) antibody positive women, which could eventually produce a hypothyroid phase associated with depressive symptoms. There was insufficient evidence to suggest a relationship with postpartum psychosis. In conclusion, the exact pathophysiological mechanisms of PMDs remain ambiguous, but TPO-antibodies in the third trimester may be a predictor of late PPD.

Challenges in Accessing Mental Health Care during Pregnancy and Postpartum in Rural Montana

PURPOSE

Postpartum depression is a well-known maternal health care concern. For women using substances or experiencing underlying mental health conditions, incidence of postpartum depression is higher than that of the general population. The purpose of this study was to identify barriers and facilitators associated with seeking mental health care among women with substance use disorder or mental health concerns.

STUDY DESIGN AND METHODS

Qualitative methods using interviews were conducted via the narrative inquiry approach. Women receiving care at a clinic in rural Montana and reporting substance use or mental health concerns were referred to the research team by the care manager. Participants were at least 18 years of age, English speaking, and pregnant or within 12 months postpartum at time of referral.

RESULTS

Twenty-five women met inclusion criteria and were referred for potential study participation. Seven women were interviewed. Four themes on family history, stigmatization, lack of postpartum depression awareness, and isolation were identified.

CLINICAL IMPLICATIONS

Our findings provide a better understanding of barriers and facilitators to seeking mental health care during pregnancy and postpartum among women living in rural areas with mental health concerns or perinatal substance use. An environment where opportunities for women to receive mental health care in a location that is free of stigma and judgment, while understanding the effects of familial trauma and limited or inconsistent social support, is essential to promote optimal outcomes.

Measurement invariance of maternal depressive symptoms across the first 2 years since birth and across racial group, education, income, primiparity, and age

Up to 19% of postpartum mothers experience depressive symptoms, which are associated with infant development. Thus, research examining postpartum depression has implications for mothers' and infants' well-being. However, this research relies on the often-untested assumption of measurement invariance-that measures capture the same construct across time and sociodemographic characteristics. In the absence of invariance, measurement bias may confound differences across time and group, contributing to invalid inferences. In a sociodemographically diverse (40.7% African American, 58.9% White; 67.9% below two times the federal poverty line; 19.4% with less than high school education), rural, longitudinal sample (N = 1,275) of mothers, we used moderated nonlinear factor analysis (MNLFA) to examine measurement invariance of the Brief Symptom Inventory-18 (BSI-18) Depressive Symptoms subscale across time since birth, racial group, education, income, primiparity, and maternal age at childbirth. We identified evidence of differential item functioning (DIF; i.e., measurement noninvariance) as a function of racial group and education. Subsequent analyses indicated, however, that the DIF-induced bias had minimal impacts on substantive comparisons examining change over time since birth and group differences. Thus, the presence of measurement noninvariance does not appear to bias substantive comparisons using the BSI-18 Depressive Symptoms subscale across the first 2 years since birth in a sample comprising primarily African American and White mothers living in predominately rural, low-income communities. This study demonstrates the importance of assessing measurement invariance and highlights MNLFA for evaluating the impact of noninvariance as a preliminary step that increases confidence in the validity of substantive inferences. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Comparison of factors associated with postpartum depression from two cohorts of nurses: the Korea Nurses' Health Study and the Nurses' Health Study 3

OBJECTIVES

This study aimed to identify whether differences exist in postpartum depression (PPD) in US and Korean nurses and its related factors. Identifying occupational and personal factors that underlie potential differences will be helpful for women's occupational health.

METHODS

Baseline and postpartum survey data from employed nurses in the Korea Nurses' Health Study and Nurses' Health Study 3 (1244 Korean; 2742 US nurses) were analysed. Postpartum data collection was done via online survey. PPD was analysed based on cultural validation from prior studies using the Edinburgh Postnatal Depression Scale (cut-off of 10 for Korea and 13 for USA); depressive symptoms prior to pregnancy and childbirth, general characteristics and sleep satisfaction were also measured. Descriptive statistics, χ2 tests and t-tests and multivariate ordinal logistic regression analysis were performed.

RESULTS

45.9% of Korean participants had clinical symptoms of PPD (≥10), whereas US participants presented with 3.4% (≥13). Prior depressive symptoms were also higher in Korean participants (22.5%) compared with their US counterparts (4.5%). Prior depressive symptoms and poor sleep satisfaction were significant risk factors of PPD in both cohort groups, and vaginal birth was an additional influencing factor in Korean participants.

CONCLUSIONS

Differences in PPD rates and related factors suggest the role of stress, cultural variation and differing work systems. Nurses and other women shift-workers noted to have depressive symptoms before and during pregnancy and exhibit PPD symptoms should especially be followed closely and offered supportive mental health services that include greater flexibility in returning to work.

Detection of differential depressive symptom patterns in a cohort of perinatal women: an exploratory factor analysis using a robust statistics approach

BACKGROUND

Postpartum depression can take many forms. Different symptom patterns could have divergent implications for how we screen, diagnose, and treat postpartum depression. We sought to utilise a recently developed robust estimation algorithm to automatically identify differential patterns in depressive symptoms and subsequently characterise the individuals who exhibit different patterns.

METHODS

Depressive symptom data (N = 548) were collected from women with neuropsychiatric illnesses at two U.S. urban sites participating in a longitudinal observational study of stress across the perinatal period. Data were collected from Emory University between 1994 and 2012 and from the University of Arkansas for Medical Sciences between 2012 and 2017. We conducted an exploratory factor analysis of Beck Depression Inventory (BDI) items using a robust expectation-maximization algorithm, rather than a conventional expectation-maximization algorithm. This recently developed method enabled automatic detection of differential symptom patterns. We described differences in symptom patterns and conducted unadjusted and adjusted analyses of associations of symptom patterns with demographics and psychiatric histories.

FINDINGS

53 (9.7%) participants were identified by the algorithm as having a different pattern of reported symptoms compared to other participants. This group had more severe symptoms across all items-especially items related to thoughts of self-harm and self-judgement-and differed in how their symptoms related to underlying psychological constructs. History of social anxiety disorder (OR: 4.0; 95% CI [1.9, 8.1]) and history of childhood trauma (for each 5-point increase, OR: 1.2; 95% CI [1.1, 1.3]) were significantly associated with this differential pattern after adjustment for other covariates.

INTERPRETATION

Social anxiety disorder and childhood trauma are associated with differential patterns of severe postpartum depressive symptoms, which might warrant tailored strategies for screening, diagnosis, and treatment to address these comorbid conditions.

FUNDING

There are no funding sources to declare.

Adherence to prescribed antihypertensive medication among patients with depression in the United States

BACKGROUND

Hypertensive patients with depression have a higher mortality rate and a worse prognosis compared with hypertensive only. Depression may reduce medication adherence in hypertension patients.

METHODS

This study includes respondents in the National Health and Nutritional Examination Survey (NHANES) database from 2005 to 2018 who had previously been diagnosed with hypertension. Medication adherence was defined as taking medication as recommended by a physician. The depressive state was assessed using the patient health questionnaire (PHQ)-9.

RESULTS

Nine thousand one hundred eighty-six respondents were included in the analysis. Medication adherence was associated with depression (odds ratio [OR]: 1.48, 95% confidence interval [CI]: 1.26 to1.75) and depression score (OR: 1.04 per each point increase, 1.03 to 1.05) in the unadjusted analyses. After adjusting for clinical and socioeconomic/demographic factors, there were significant statistical correlations between depression score and medication adherence (aOR: 1.02 per each point increase, 1.00 to 1.03, p < 0.05), but there was no significant statistical correlation between depression and medication adherence (p > 0.05). It was still statistically significant relationships between sex, age, body mass index (BMI), race, marital status, and health insurance with medication adherence after adjusted socioeconomic/demographic factors.

CONCLUSION

Depression was marginally associated with poor medication adherence in hypertensive patients, and the correlation increased with depression degree. Moreover, socioeconomic/demographic factors have an independent impact on medication adherence including sex, age, BMI, race, marital status, and health insurance.

Advancing research on perinatal depression trajectories: Evidence from a longitudinal study of low-income women

OBJECTIVES

The current study aimed to describe and predict perinatal depression trajectories in a sample of low-income women from the first trimester of pregnancy to six months postpartum.

METHODS

The study sample consisted of 899 women in Wisconsin who received home visiting services. Eligible participants were screened for depressive symptoms by home visitors using the Edinburgh Postnatal Depression Scale at least three times across four time periods from the first trimester of pregnancy to six months postpartum. Growth Mixture Modeling was applied to identify distinct trajectory classes, and multinomial logistic regressions were performed to analyze predictors of class membership.

RESULTS

Mean depressive symptom scores in this racially/ethnically diverse sample of low-income women decreased significantly over time from a high of 8.1 at time1 to a low of 6.8 at time4. Four classes were identified, including a low-stable group (78.2% of sample), a high-stable group (10.6%) along with decreasing (7.1%) and increasing (4.1%) trajectories. Women with a history of abuse and mental health difficulties were more likely to be classified in the high-stable and decreasing depression groups than the low-stable group. Low social support was linked to an increasing trajectory that resulted in high levels of postpartum depression.

CONCLUSIONS AND IMPLICATIONS

Although most women exhibited stable and positive trajectories, more than one out of five presented with either persistently or intermittently high depression scores. Taken together, the findings underscore the importance of depression screening throughout the perinatal period and identifying factors that may be used to target resources to at-risk populations.

Risk factors associated with postpartum depressive symptoms: A multinational study

OBJECTIVE

To evaluate the association between maternal age, parity, gestational number (singleton vs twin), newborn gender and self-reported postpartum depressive symptoms (PDS) in a large multinational sample using survey data from a digital telephone application.

METHODS

Women using the Flo app answered a survey (available in 10 languages) from January 2018 to April 2020. A survey question asking about emotional state was used to determine the presence of PDS. Chi-squared statistics were used to compare groups. A weighted mean prevalence was calculated based upon the socioeconomic status and reproductive population of each country in 2020.

RESULTS

Over a million women from 138 countries participated. Of all respondents, 9.4% endorsed PDS. The weighted mean prevalence of PDS was 11%. We found that PDS decreased with advancing age. First-time mothers reported higher rates of PDS. Twin births were associated with a higher symptom burden than singleton births and mothers of twins in the oldest age group reported the greatest burden. We did not find a clinically significant difference in rates of PDS between mothers of singleton girls and boys.

CONCLUSIONS

To our knowledge, this study is the first to examine risk factors for postpartum symptoms using the same survey across a large international population. These results can further research and clinical aims to identify and treat maternal depression more effectively.

LIMITATIONS

Data was aggregated, thereby limiting analysis of individual associations. The survey was self-report and not diagnostic for postpartum depression. Generalizability of risks of postpartum depression should be approached with caution.

Cytokines and tryptophan metabolites can predict depressive symptoms in pregnancy

Depression during and after pregnancy affects up to 20% of pregnant women, but the biological underpinnings remain incompletely understood. As pregnancy progresses, the immune system changes to facilitate fetal development, leading to distinct fluctuations in the production of pro-inflammatory factors and neuroactive tryptophan metabolites throughout the peripartum period. Therefore, it is possible that depression in pregnancy could constitute a specific type of inflammation-induced depression. Both inflammatory factors and kynurenine metabolites impact neuroinflammation and glutamatergic neurotransmission and can therefore affect mood and behavior. To determine whether cytokines and kynurenine metabolites can predict the development of depression in pregnancy, we analyzed blood samples and clinical symptoms in 114 women during each trimester and the postpartum. We analyzed plasma IL-1β, IL-2, -6, -8, -10, TNF, kynurenine, tryptophan, serotonin, kynurenic- quinolinic- and picolinic acids and used mixed-effects models to assess the association between biomarkers and depression severity. IL-1β and IL-6 levels associated positively with severity of depressive symptoms across pregnancy and the postpartum, and that the odds of experiencing significant depressive symptoms increased by >30% per median absolute deviation for both IL-1β and IL-6 (both P = 0.01). A combination of cytokines and kynurenine metabolites in the 2nd trimester had a >99% probability of accurately predicting 3rd trimester depression, with an ROC AUC > 0.8. Altogether, our work shows that cytokines and tryptophan metabolites can predict depression during pregnancy and could be useful as clinical markers of risk. Moreover, inflammation and kynurenine pathway enzymes should be considered possible therapeutic targets in peripartum depression.

A Pilot Study Examining Access to and Satisfaction with Maternal Mental Health and Substance Use Disorder Treatment via Telemedicine

Background: Mental health (MH) and substance use disorders (SUDs) are common during pregnancy and the postpartum year, and have a significant impact on maternal and child health. Most women do not receive treatment for these conditions due to barriers to care. Increasing access to these services via telemedicine is one potential solution to overcoming barriers, but it is unknown if this type of service is acceptable to women. The purpose of this study is to evaluate patient satisfaction with, and accessibility to, a maternal MH and SUD telemedicine service delivered to obstetric practices. Methods: The Telemedicine Satisfaction Questionnaire and the Questionnaire for Assessing Patient Satisfaction with Video Consultation were collected via online surveys. Responses were scored on a 5-point Likert scale, ranging from strongly disagree (1) to strongly agree (5). Paired t-tests were used to compare round trip travel time and distance between participants home and specialty clinic at an academic medical center versus their local obstetrics clinic where they received telemedicine services. Results: A total of 91.42% (32/35) of women agreed to take part in the study, and 43.75% (14/32) of women were living in a rural community. Patients reported high levels of satisfaction with the following: overall quality of care (mean [M] 4.66 [standard deviation, SD, 0.67]); similarity to face-to-face are (M 4.69 [SD 0.63]); and access to care (M 4.47 [SD 0.81]). Compared with in-person care at an academic medical center, women receiving care via telemedicine spent significantly less time (67.44 minutes vs. 256.31 minutes, p < 0.001) and distance (50.33 miles vs. 236.06 miles, p < 0.001) traveling round trip. Conclusions: Women receiving MH and SUD treatment via telemedicine within their obstetrician's office report high levels of satisfaction and increased access to care with this modality of treatment delivery. Telemedicine may provide one solution to removing barriers to care and mitigating the maternal and child risks associated with of untreated MH and SUDs.

Post-partum psychosis and its association with bipolar disorder in the UK: a case-control study using polygenic risk scores

BACKGROUND

For more than 150 years, controversy over the status of post-partum psychosis has hindered research and caused considerable confusion for clinicians and women, with potentially negative consequences. We aimed to explore the hypothesis that genetic vulnerability differs between women with first-onset post-partum psychosis and those with bipolar disorder more generally.

METHODS

In this case-control study on first-onset post-partum psychosis and bipolar disorder in the UK, we included 203 women with first-onset post-partum psychosis (defined as a manic, mixed, or psychotic depression episode within 6 weeks of delivery without a psychiatric history) and 1225 parous women with a history of bipolar disorder. Information on women with bipolar disorder was obtained from the Bipolar Disorder Research Network database, and participants were recruited through screening community mental health teams across the UK and via the media and patient support organisations. All were assessed using a semistructured face-to-face psychiatric interview and psychiatric case note review. 2809 women from the general population were recruited via the national UK Blood Services and the 1958 Birth Cohort (UK National Child Development Study) as controls and matched to cases according to genetic ancestry. All self-reported their ethnicity as White and were recruited from across the UK. Polygenic risk scores (PRSs) were generated from discovery genome-wide association studies of schizophrenia, bipolar disorder, and major depression. Logistic regression was used to model the effect of each PRS on diagnosis, and the RRs and ORs presented were adjusted for ten principal components of genetic variation to account for population stratification.

FINDINGS

203 women with first-onset post-partum psychosis (median age at interview: 46 years [IQR 37-55]) and 1225 women with bipolar disorder (49 years [41-58]) were recruited between September, 1991, and May, 2013, as well as 2809 controls. Women with first-onset post-partum psychosis had similar bipolar disorder and schizophrenia PRSs to women with bipolar disorder, which were significantly higher than those of controls. When compared with controls, women with first-onset post-partum psychosis had an adjusted relative risk ratio (RR) for bipolar disorder PRSs of 1·71 (95% CI 1·56-1·86, p<0·0001) and for schizophrenia PRSs of 1·82 (1·66-1·97, p<0·0001). The effect sizes were similar when comparing women with bipolar disorder to controls (adjusted RR 1·77 [1·69-1·84], p<0·0001 for bipolar disorder PRSs; 2·00 (1·92-2·08), p<0·0001 for schizophrenia PRSs). Although women with bipolar disorder also had higher major depression PRSs than did controls (1·24 [1·17-1·31], p<0·0001), women with first-onset post-partum psychosis did not differ from controls in their polygenic liability to major depression (0·97 (0·82-1·11), p=0·63).

INTERPRETATION

Our study supports the recognition of first-onset post-partum psychosis as a separate nosological entity within the bipolar disorder spectrum both in research and clinical settings.

FUNDING

Wellcome Trust and Medical Research Council.

A Cross-Cultural Analysis of the Prevalence and Risk Factors for Prenatal Depression in Spain and Mexico

The prevalence and risk factors associated with prenatal depression among Spanish-speaking women in Spain and Mexico are examined and compared through a cross-cultural study. The study utilizes secondary data from 563 participants who received prenatal care in Madrid (N = 283) and in Mexico City (N = 280), assessed with the PHQ-9 and the PDPI-R. Spanish women reported a lower prevalence of depressive symptoms (10.0%) than Mexican women (20.3%). Regression analyses showed that previous prenatal anxiety and lack of family emotional support were common risk factors to the two countries. Within each country, significant risk factors included: (a) previous depression history (β = 0.224; p < 0.001) in Spain; and (b) unplanned pregnancy (β = - 0.116; p < 0.027), lack of emotional support from others (β = 0.129; p < 0.032), marital dissatisfaction (β = 0.186; p < 0.009), and life stress due to financial problems (β = 0.117; p < 0.026), and life stress due to marital problems (β = 0.114; p < 0.040) in Mexico. Health professionals can tailor interventions to their particular risk factors to reduce the adverse effects on mothers and infants.

Examining the Pathoplastic Moderating Role of Education on the Association between Depressive Mood and Self-Rated Health among Cancer Survivors: A Population-Based Study

OBJECTIVE

Self-rated health (SRH) is a salient patient outcome for cancer survivors, and depressive mood and education are known determinants of cancer survivors' SRH. Moving beyond the well-established direct association between depressive mood, education, and SRH among cancer survivors, this epidemiological study investigated the pathoplastic role of education on depressive mood in relation to SRH among a nationally representative sample of cancer survivors in the United States.

METHODS

The 2019 National Health Interview Survey was analyzed using data from adult participants (≥18 years old) who self-reported as cancer survivors (n = 3844). Ordered logistic regression was used to evaluate the direct impact of depressive mood and education in relation to SRH. In addition, the pathoplastic moderating effect was evaluated using ordered logistic regression with an interaction term of depressive mood and education in the regression model. All analyses adjusted for complex sample weights so that findings are nationally representative.

RESULTS

After adjusting for all covariates, U.S. cancer survivors' depressive mood was significantly associated with lower SRH, and U.S. cancer survivors' higher education was significantly associated with higher SRH. As a pathoplastic moderator, cancer survivors' education significantly moderated the association between depressive mood and SRH. The negative association between depressive mood and SRH was significantly greater among those with higher education.

CONCLUSION

Moving beyond the direct association between depressive mood, education, and SRH, education served as a pathoplastic moderator in relation to depressive mood and SRH. Psycho-oncology providers need to be mindful of the "protective-risk" effect of education in relation to cancer survivors' depressive mood and SRH.

Midwives' perceived barriers in communicating about depression with ethnic minority clients

OBJECTIVE

This study aimed to assess the most influential barriers midwives perceive in communicating about depression-related symptoms with ethnic minority clients.

METHODS

In-depth interviews were held with midwives (N = 8) and Moroccan-Dutch women (N = 6) suffering from perinatal depression to identify the most salient communication barriers. Subsequently, an online survey among midwives (N = 60) assessing their perceived barriers and the occurrence of these barriers in practice was administered. Composite scores using the QUOTE methodology were calculated to determine influential barriers.

RESULTS

Three types of barriers emerged from the interviews. Educational-related barriers, client-related barriers and midwife-related barriers. Results of the survey showed that the most influential barriers were educational-related barriers (e.g. lack of culturally sensitive depression screening instruments) and client-related barriers (e.g. cultural taboo about talking about depression).

CONCLUSION

Culturally sensitive screening instruments for depression and patient education materials should be developed to mitigate the educational-related barriers to communicating about depression. Patient education materials should also target the clients' social environment (e.g. husbands) to help break the cultural taboo about depression.

PRACTICE IMPLICATIONS

Based on this study's results, communication strategies to empower both midwives and ethnic minority clients with depression can be developed in a collaborative approach.

Serum Metabolic Profiling of Late-Pregnant Women With Antenatal Depressive Symptoms

Background: Antenatal depression (AD) is a major public health issue worldwide and lacks objective laboratory-based tests to support its diagnosis. Recently, small metabolic molecules have been found to play a vital role in interpreting the pathogenesis of AD. Thus, non-target metabolomics was conducted in serum. Methods: Liquid chromatography-tandem mass spectrometry-based metabolomics platforms were used to conduct serum metabolic profiling of AD and non-antenatal depression (NAD). Orthogonal partial least squares discriminant analysis, the non-parametric Mann-Whitney U test, and Benjamini-Hochberg correction were used to identify the differential metabolites between AD and NAD groups; Spearman's correlation between the key differential metabolites and Edinburgh Postnatal Depression Scale (EPDS) and the stepwise logistic regression analysis was used to identify potential biomarkers. Results: In total, 79 significant differential metabolites between AD and NAD were identified. These metabolites mainly influence amino acid metabolism and glycerophospholipid metabolism. Then, PC (16:0/16:0) and betaine were significantly positively correlated with EPDS. The simplified biomarker panel consisting of these three metabolites [betaine, PC (16:0/16:0) and succinic acid] has excellent diagnostic performance (95% confidence interval = 0.911-1.000, specificity = 95%, sensitivity = 85%) in discriminating AD and NAD. Conclusion: The results suggested that betaine, PC (16:0/16:0), and succinic acid were potential biomarker panels, which significantly correlated with depression; and it could make for developing an objective method in future to diagnose AD.

Triggering of postpartum depression and insomnia with cognitive impairment in Argentinian women during the pandemic COVID-19 social isolation in relation to reproductive and health factors

Objective

The 2019 coronavirus disease pandemic (COVID-19) required strict confinement measures that differentially impacted the individual's daily life. Thus, this work aimed to study postpartum women's mental health in Argentina during mandatory social isolation.

Design

A cross-sectional survey was conducted from May to July 2020, which included five validated questionnaires to assess postpartum depression (Postpartum Depression Screening Scale‐Short Form), insomnia (Insomnia Severity Index), memory complaints (Memory Complaint Scale), metacognition (Brief Metamemory and Metaconcentration Scale), and breastfeeding self-efficacy (Breastfeeding Self-Efficacy Scale-Short Form). Sociodemographic variables, social isolation characteristics, and breastfeeding practices were also collected. This study was conducted in accordance with the Declaration of Helsinki. Statistical analysis included zero-order correlations, multiple logistic regressions, and a set of structural equation models (SEM) to test direct and indirect effects. Goodness-of-fit indices were calculated for SEM.

Setting

Postpartum women were recruited from public hospitals, private health clinics, and online community recruitment in the Cordoba province (Argentina).

Participants

305 postpartum women from Argentina.

Measurements and findings

37% of women reported postpartum depression, 46% insomnia, 42% memory impairment, 60% low metaconcentration, 50% low metamemory, and 23% low breastfeeding efficacy. Also, significant associations were found demonstrating that social isolation promoted postpartum depression and insomnia were reciprocally related, which compromised female cognition and efficacy. This situation was aggravated in women during late postpartum, with previous children, and by low social support (e.g., family, health professionals), with non-exclusive breastfeeding being increased.

Key conclusions

This is the first study addressing postpartum women's mental status during social isolation in Argentina, which was a promoting factor for postpartum depression and insomnia that were reciprocally related. This situation was also aggravated by reproductive factors, such as late postpartum, multiparity, breastfeeding frequency, and non-exclusive breastfeeding. Additionally, breastfeeding self-efficacy depended on mental health status, and euthymia therefore favoured the practice of exclusive breastfeeding.

A systematic review of EPDS cultural suitability with Indigenous mothers: a global perspective

The Edinburgh Postnatal Depression Scale (EPDS) is used extensively as the "gold standard" perinatal depression and anxiety screening tool. This study contributes to an emerging discussion about the tool's shortcomings, specifically around cultural suitability for use with Indigenous women. A systematic search was conducted in ProQuest, PsycINFO, MEDLINE (Web of Science), PubMed, Scopus, Informit, and CINAHL research databases, and grey literature. The quality of the body of evidence was assessed using the NHMRC Level of Evidence framework. Three studies supported the cultural validation of the EPDS with Indigenous groups in Canada (n = 2) and the USA (n = 1). The remaining eleven Australian studies demonstrated that cultural concerns were suggested by either Indigenous mothers, healthcare professionals (Indigenous and non-Indigenous), or both, though cultural concerns were more weighted from the perspectives of healthcare professionals. The quality of the evidence was not strong, and thus, there is a critical and urgent need for targeted research in this area. This review identified and recommended Indigenous-specific methodologies that can be adopted for more trustworthy, culturally safe, and effective research in this area. Given that the EPDS is currently considered gold standard in routine perinatal mental health screening practice in countries around the world, these findings raise significant concerns. Using culturally relevant research methodologies, such as the use of mixed-methods design, could lay stronger groundwork for further investigation of the broader utility and cultural relevance of the tool.

Depressed Motherhood: Prevalence and Covariates of Maternal Postpartum Depression among Urban Mothers in India

BACKGROUND

The prevalence of Postpartum Depression (PPD) in the world is estimated to range from 10 to 30%. In India, about 22% of mothers suffer from postpartum depression.

PURPOSE

Study objective is to examine the prevalence and covariates of postpartum depression among new mothers; and find the association between the indices of social support, partner support and attention shifting with experience of postpartum depression.

METHODS

A cross-sectional hospital-based study design was used. The sample for this study included 240 postnatal mothers from Pune urban areas selected randomly from three hospitals who attended postnatal check-ups or immunizations in the city. Postpartum depression was assessed using Marathi validated Edinburgh Postpartum Depression Scale (EPDS). Support from the respondents mother, mother-in law, husband, relatives was assessed for estimating Social Support Index. The husband's support was assessed for Partner Support Index; and shift of attention from mother to baby was for Attention Shift Index. Mothers who scored ≥13 on the EPDS scale were categorised as depressed. Reliability and validity of the scales and indices was checked using Chronbach's alpha. Univariate, bivariate, and logistic regression were used to determine the association of various indices with PPD.

RESULTS

Of the 240 mothers surveyed, 63 (26.3%) mothers scored ≥13 on EPDS and thus, were categorised as depressed. A strong statistical association was found between social support with postpartum depression (AOR:3.037; 95% CI:1.486-6.208) and unadjusted models (UOR: 2.269; 95% CI:1.056-4.87), partner support (AOR:4.979;95%CI:1.348-18.388) and attention shift from mother to baby with PPD (Both adjusted to AOR:2.618; 95%CI:1.441-4.858; and unadjusted UOR: 2.373; 95%CI:1.072-5.254). However, no significant association was found between socio-demographic variables and postpartum depression.

CONCLUSION

Higher levels of postpartum depression in urban mothers affect the women and their children's health. Screening of expecting mothers for possible symptoms of depression during antenatal care could reduce the chances of depression during postpartum period. Considering its prevalence, depression should be addressed in national mental health programmes. More robust research is required for better understanding of the factors responsible for postpartum depression in urban India.

Postpartum depression symptoms in survey-based research: a structural equation analysis

BACKGROUND

Since the last decade, postpartum depression (PPD) has been recognized as a significant public health problem, and several factors have been linked to PPD. Mothers at risk are rarely undetected and underdiagnosed. Our study aims to determine the factors leading to symptoms of depression using Structural Equation Modeling (SEM) analysis. In this research, we introduced a new framework for postpartum depression modeling for women.

METHODS

We structured the model of this research to take into consideration the Malaysian culture in particular. A total of 387 postpartum women have completed the questionnaire. The symptoms of postpartum depression were examined using the Edinburgh Postnatal Depression Scale (EPDS), and they act as a dependent variable in this research model.

RESULTS

Four hundred fifty mothers were invited to participate in this research. 86% of the total distributed questionnaire received feedback. The majority of 79.6% of respondents were having depression symptoms. The highest coefficients of factor loading analysis obtained in every latent variable indicator were income (β = 0.77), screen time (β = 0.83), chips (β = 0.85), and anxiety (β = 0.88). Lifestyle, unhealthy food, and BMI variables were directly affected by the dependent variable. Based on the output, respondents with a high level of depression symptoms tended to consume more unhealthy food and had a high level of body mass indexes (BMI). The highest significant impact on depression level among postpartum women was unhealthy food consumption. Based on our model, the findings indicated that 76% of the variances stemmed from a variety of factors: socio-demographics, lifestyle, healthy food, unhealthy food, and BMI. The strength of the exogenous and endogenous variables in this research framework is strong.

CONCLUSION

The prevalence of postpartum women with depression symptoms in this study is considerably high. It is, therefore, imperative that postpartum women seek medical help to prevent postpartum depressive symptoms from worsening.

Steroid Hormone Sensitivity in Reproductive Mood Disorders: On the Role of the GABAA Receptor Complex and Stress During Hormonal Transitions

Women worldwide are two to three times more likely to suffer from depression in their lifetime than are men. Female risk for depressive symptoms is particularly high during the reproductive years between menarche and menopause. The term “Reproductive Mood Disorders” refers to depressive disorders triggered by hormonal fluctuations during reproductive transitions including the perimenarchal phase, the pre-menstrual phase, pregnancy, the peripartum period and the perimenopausal transition.

Here we focus on reproductive mood disorders manifesting in adult life. We propose a research agenda that draws together several reproductive mood disorders and investigates which genetic, endocrinological, neural, and psychosocial factors can explain depressive symptoms during phases of hormonal transitions in women. Based on current research it is assumed that some women experience an increased sensitivity to not only fluctuations in reproductive steroids (estrogen and progesterone), but also stress-related steroids. We integrate both dynamics into the concept of “steroid hormone sensitivity,” expanding on the concept of “reproductive hormone sensitivity.” We suggest that a differential response of the stress steroid system including corticosteroids, neurosteroids, like allopregnanolone and the GABA-A Receptor complex, as well as a differential (epi)genetic risk in serotonergic and GABAergic signaling, are moderators or mediators between changes in the reproductive steroid system and the physiological, affective, and cognitive outcomes manifesting in reproductive mood disorders. We point to the lack of research on the role of psychosocial factors in increasing a woman's stress level and at some point also the sensitivity of her stress steroid system within the etiology of Reproductive Mood Disorders.

Drawing together the evidence on various reproductive mood disorders we seek to present a basis for the development of more effective pharmacological, social, and psychological treatment interventions and prevention strategies for women susceptible to these disorders. This could pave the way for new research as well as medical and psychological teaching and practice- such as a new type of Practice for Gynecological Psychoneuroendocrinology- with the aim of working on and ultimately offering more integrative forms of support not yet available to women suffering from depression during hormonal transitions. In medical history women have been left alone with this integrative challenge.

Postpartum depressive symptoms in low-income Latinas: Cultural and contextual contributors

OBJECTIVE

Using a conceptual model of postpartum depression risk in Latinas including both contextual and cultural stressors, we tested contributions to depressive symptom levels and trajectories over the course of 1 year following birth in a community sample of Latinas.

METHOD

A multisite sample of low-income U.S.-born and foreign-born Latinas (n = 537; M age = 25.70) was interviewed on many topics including measures of stress and maternal health at 1, 6, and 12 months postpartum. Nested multilevel growth curve models were implemented to test associations of contextual stressors (poverty, domestic violence) with trajectories of depressive symptoms, adjusting for confounds. This model was compared to 1 that added cultural stress variables (everyday discrimination, foreign-born status, language preference, age at immigration) measured 1-month postpartum.

RESULTS

The best fitting model provided evidence for the independent effects of cultural and contextual stressors. Discrimination (β = .13 SE = .02, p = < .001) and domestic violence (β = .39 SE = .09, p = < .001) predicted trajectories with higher levels of depressive symptoms 1 month postpartum, but not linear change in symptoms over the year.

CONCLUSIONS

The present study provides evidence that discrimination, a cultural factor, and domestic violence, a contextual factor, each predict higher levels of early postpartum depressive symptoms. Interventions addressing discrimination and maternal safety are recommended. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

A transdiagnostic approach to conceptualizing depression across the perinatal period in a high-risk sample

Clinical guidelines recommend assessing depression during pregnancy and postpartum but often overlook potential changes in symptoms across this developmental period. Such changes contribute to difficulties in conceptualizing maternal depression. This study aimed to situate depressive symptoms and related concerns (anxiety, stress, sleep) across the perinatal period within a transdiagnostic framework and to use this framework to better understand how depressive symptoms change across the perinatal period. First, items from seven symptom scales were a priori categorized into six transdiagnostic factors: four based on Research Domain Criteria (loss, potential threat, frustrative nonreward, and sleep-wakefulness) and two based on the depression literature (somatic and coping symptoms). Second, using prospective data from women with a history of an affective disorder (n = 657) in an observational study of neuropsychiatric illness, factor analyses were performed in seven periods (three trimesters of pregnancy and four quarters of first year postpartum). For each period, a bifactor model with six transdiagnostic factors and a general factor fit data better than models that combined or dropped a factor (p < .003). Except around delivery, item loadings and intercepts could be fixed between consecutive periods and still adequately fit data from both periods. Means of sleep-wakefulness and somatic factors increased significantly from second to third trimester (p < .01), with trends reversing early postpartum. In conclusion, depressive symptoms and related concerns exhibit factor structures that are only partly congruent across the perinatal period. This conclusion suggests that greater attention to specific life phases is warranted in the conceptualization of depression during this time in women's lives. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

5HTTLPR polymorphism and postpartum depression risk: A meta-analysis

OBJECTIVE

Postpartum depression (PPD) is an episode of major depressive disorder that affecting women of childbearing age. 5-HTTLPR is 1 of the most extensively investigated polymorphisms in PPD. However, the previous results were inconsistent and inclusive. Hence, we performed a meta-analysis to precisely evaluate the association between 5-HTTLPR polymorphism and PPD susceptibility.

METHODS

The studies were retrieved through databases including PubMed, web of science, EMASE, and CNKI. The odd ratios (ORs) and 95% confidence interval (CIs) were applied for evaluating the genetic association between 5-HTTLPR (L/S) polymorphism and PPD risk.

RESULTS

Six studies with 519 cases and 737 controls were enrolled in the present study. The frequencies of allelic (OR = 0.72, 95%CI = 0.60-0.85, P = .0001) and dominant (OR = 0.57, 95%CI = 0.44-0.73, P = .004) models of 5-HTTLPR polymorphism significantly decreased in patients with PPD than those in the healthy controls. Subgroup analysis based on ethnicity revealed that the allelic (OR = 0.71, 95%CI = 0.60-0.85, P = .0001) and dominant (OR = 0.51, 95%CI = 0.32-0.79, P = .003) models of 5-HTTLPR polymorphism were significantly associated with PPD risk in Asian population (P > .05). No evidence was observed between the recessive model of 5-HTTLPR polymorphism and PPD risk (P > .05).

CONCLUSIONS

The allelic and dominant models of 5-HTTLPR polymorphism might be protective factors for PPD. To confirm these results, larger number of association studies or multicenter case-control studies are necessary in the future.

Examining Rates of Postpartum Depression in Active Duty U.S. Military Servicewomen

Background: Postpartum depression (PPD) is understudied in military populations. The present descriptive transversal study evaluated the incidence of PPD diagnoses in U.S. military electronic health records, based on International Classification of Diseases, Ninth Revision (ICD-9) and ICD-10 codes, among active duty military servicewomen between 2001 and 2018. Methods: Data on 3,724 active duty military servicewomen who served between 2001 and 2018 were drawn from the Defense Medical Epidemiological Database and stratified by race, age, marital status, service branch, and military pay grade. Single sample chi squares were used to examine observed versus expected differences in diagnosis rates. Results: The incidence rate of PPD among all U.S. military servicewomen was the lowest in 2001 (1.96 per 1,000) and the highest in 2018 (29.95 per 1,000). Servicewomen most often diagnosed with PPD were white (60%), married (74%), in the enlisted pay grades of E-1 to E-4 (60%), in the Army (43%), and were between 20 and 24 years old (46%). Statistically significant differences (p < 0.001) were found between observed and expected counts across all five demographic variables. Conclusions: This is the first population-based study to assess the incidence rates of PPD among all active duty military servicewomen. Findings that some groups were over- and underdiagnosed within each demographic category, and that PPD incidence rates have increased between 2001 and 2018, underscore the importance of further research to inform policies and interventions supporting this vulnerable population.

mHealth Apps Assessment among Postpartum Women with Obesity and Depression

BACKGROUND

Pregnancy has become the main constituent for women to become overweight or obese during the postpartum phase. This could lead women to suffer from postpartum depression as well. Information technology (IT) has become more prevalent in the healthcare industry. It offers patients the opportunity to manage their health conditions via the use of several applications, one being the mHealth applications.

OBJECTIVE

The main purpose of this study is to experiment and understand the effects the mHealth applications (i.e., fitness and nutrition applications) have on the body mass index (BMI) and depression levels amongst postpartum women.

METHODS

Online questionnaires were sent to postpartum women within one year after their pregnancy, of which 819 completed questionnaires were returned. The frequency of the mHealth applications usage was categorized into daily, weekly, rarely and never streams. Therefore, the frequency of use of the mHealth applications for BMI and depression levels was analyzed based on the available statistical data. Descriptive statistics, ANOVA, and Dunnet tests were applied to analyze the experimental data.

RESULTS

Out of 819 respondents, 37.9% and 42.1% of them were overweight and obese, respectively. Almost 32.9% of the respondents were likely depressed, and 45.6% were at an increased risk. This study reports that only 23.4% and 28.6% of respondents never used the fitness and nutrition applications. The impact of the frequency of using the fitness applications on BMI and depression levels was obvious. This means that with the increased use of the fitness applications, there was also a significant effect in maintaining and decreasing the BMI and depression levels amongst Malaysians postpartum women. However, from the data of weekly and daily use of fitness applications, we found that the contribution toward the BMI and depression levels was high (p = 0.000). However, nutrition applications amongst the users were not significant within the main variables (p > 0.05). From the Dunnet test, the significance of using the fitness applications within the depression levels started from daily usage, whereas for BMI, it started from weekly usage.

CONCLUSION

The efficiency of the fitness applications toward the BMI and depression levels has been proven in this research work. While nutrition applications did not affect the BMI and depression levels, some of the respondents were still categorized as weekly and daily users. Thus, the improvements in BMI and depression levels are associated with the types of mHealth app that had been used.

Postnatal depressive symptoms display marked similarities across continents

BACKGROUND

Postnatal depressive symptoms measured by the Edinburgh Postnatal Depression Scale (EPDS) are reported to display measurement variance regarding factor structure and the frequency of specific depressive symptoms. However, postnatal depressive symptoms measured by EPDS have not been compared between women representing three continents.

METHODS

A cross-sectional study including birth cohort samples from Denmark, Vietnam and Tanzania. Women were included during pregnancy at routine care sites. Depressive symptoms were self-reported 40-90 days postpartum using the EPDS. Exploratory and confirmatory factor analyses and generalized additive regression models were performed.

RESULTS

A total of N = 4,516 participated in the study (Denmark N = 2,069, Vietnam N = 1,278, Tanzania N = 1,169). Factor analyses identified three factors (anhedonia, anxiety and depression) that were almost identical in the three study populations. The only variation between countries was that the item 'self-harm' loaded differently. Women from Tanzania and Denmark were more likely to have an EPDS total score above cut-off 12 (12.6% and 6.4%), compared to women from Vietnam (1.9%) (p<0.001). A low level of education was associated with significantly more depressive symptoms after adjusting for country (p<0.001).

LIMITATIONS

EPDS data was collected at a later time point in the Danish sample.

CONCLUSIONS

Postnatal depressive symptoms constitute a three-factor model across cultures including the factors anhedonia, anxiety and depression. The frequency of postnatal depressive symptoms differs between high-, medium-, and low-income countries. However, clinicians should bear in mind that low-educated women worldwide are more likely to experience postnatal depressive symptoms.

Intravenous brexanolone for postpartum depression: what it is, how well does it work, and will it be used?

Postpartum depression is considered to be a subtype of major depressive disorder that occurs in approximately 10-20% of mothers worldwide. However, in actuality, these numbers are likely underreported due to minimization and the stigma of mental illness. Until recently, there were no approved medications for the treatment of postpartum depression. Allopregnanolone is a naturally occurring neuroactive steroid whose serum levels decline precipitously following childbirth. This hormonal fluctuation has been postulated as playing a role in the pathophysiology of postpartum depression. Brexanolone is the first medication approved by the US Food and Drug Administration for the treatment of postpartum depression. Brexanolone is an intravenous proprietary formulation of allopregnanolone that can be administered to produce stable serum levels comparable with third-trimester concentrations in postpartum mothers. It is hypothesized to modulate neuronal excitability by functioning as an allosteric modulator of γ-aminobutyric acid-A receptors and is administered under monitoring as a 60 h continuous infusion. In this review, we will highlight the results of the clinical trial program, including efficacy and tolerability data. Practical and logistical considerations of brexanolone will be reviewed, as will its potential place in therapy for the treatment of postpartum depression.

Exploring the dominant features of social media for depression detection

Recently, social media have been used by researchers to detect depressive symptoms in individuals using linguistic data from users’ posts. In this study, we propose a framework to identify social information as a significant predictor of depression. Using the proposed framework, we develop an application called the Socially Mediated Patient Portal (SMPP), which detects depression-related markers in Facebook users by applying a data-driven approach with machine learning classification techniques. We examined a data set of 4350 users who were evaluated for depression using the Center for Epidemiological Studies Depression (CES-D) scale. From this analysis, we identified a set of features that can distinguish between individuals with and without depression. Finally, we identified the dominant features that adequately assess individuals with and without depression on social media. The model trained on these features will be helpful to physicians in diagnosing mental diseases and psychiatrists in analysing patient behaviour.

The risk factors of antenatal depression: A cross-sectional survey

AIMS AND OBJECTIVES

To investigate the prevalence of depression in the third trimester of pregnancy and identify the related demographic risk factors.

BACKGROUND

Antenatal depression as a disabling and treatable disease has a wide-ranging impact on perinatal women and has received extensive attention from researchers.

DESIGN

A cross-sectional survey was conducted at three public hospitals.

METHODS

Demographic questionnaire was developed from the literature review, and depression was assessed using the Edinburgh Postnatal Depression Scale. A binary logistic regression model was used to assess the association between depression and demographic predictors. STROBE checklist for cross-sectional studies was applied in this paper (see Appendix S1).

RESULT

A total of 773 pregnant women participated in the study. 29.6% of participants scored more than 9 points on Edinburgh Postnatal Depression Scale. In the final logistic model, living in rural area, marital satisfaction, assisted reproductive technology, lacking of prenatal health knowledge and life events were strongly significantly associated with antenatal depression. Moreover, living in an extended family, without Medicare insurance, unemployed, working as civil servants or healthcare workers, and lower household income also predicted antenatal depression. However, education level, smoking or drinking before pregnancy was found not to be associated with antenatal depression.

CONCLUSION

Our findings suggest that the prevalence of antenatal depression was high. Satisfied with the current marital status, pregnancy without assisted reproductive technology, knowledge of perinatal care and no life events recently were considered as the protective factors for antenatal depression.

RELEVANCE TO CLINICAL PRACTICE

Antenatal psychological interventions should focus on how to improve the marital satisfaction and the relationship with their family members. More attentions should be paid to the women who have had some life events recently or received assisted reproductive technology for pregnancy.

The international postpartum depression: action towards causes and treatment (PACT) consortium

The International Postpartum depression: Action towards Causes and Treatment (PACT) Consortium was founded with the overarching goal of creating an international perinatal psychiatry consortium to conduct novel investigations with large sample sizes to understand the genetic signature of perinatal mood disorders. PACT uses a collaborative and team science approach that includes investigators across 19 institutions and seven continents. The large sample sizes allow for statistically rigorous analyses to investigate perinatal psychiatric disorders, with an initial focus on postpartum depression (PPD). Our current aims are to identify clinical sub-types of PPD that contribute diagnostic heterogeneity, and to elucidate the genetic basis of PPD by conducting the first large genome-wide association study of PPD. To accomplish the latter aim, we are partnering with the Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium. To date, our consortium members have recruited 17,912 participants and 11,344 participants have been identified using the PPD ACT mobile app, of which 8,432 are PPD cases. Ultimately, we hope this approach will improve detection, diagnosis, and treatment of women who suffer from perinatal psychiatric disorders.

Toward a framework for best practices and research guidelines for perinatal depression research

This review article highlights the current state of perinatal depression (PND) research including established standards of care and innovative research in progress. PND can have a significant adverse impact on mother, child, and family; however, to date, wide-scale identification, prevention, and treatment have been limited. PND is heterogenous in presentation with likely multifactorial etiologies for each woman. Challenges in PND research are discussed including a need for universal tools, standardized measures, benchmarks, and best practices. Current examples are reviewed that highlight approaches to novel treatment paradigms and interventions. This includes reviewing epidemiologic studies in PND research, examining the biological underpinnings of PND, and discussing examples from this field and other fields currently developing translational research that spans from bench to bedside. Current and future challenges and opportunities in developing best practices for the treatment of PND are outlined. We also discuss the use of the NIMH Research Domain Criteria approach for PND research and provide recommendations for future directions in PND research collaboration. In conclusion, greater precision in perinatal psychiatry can be possible in the future with the development of guidelines and best practices that build on current work and apply innovative and collaborative approaches of scientists, providers, patients, community members, and government officials.

‘Happy that someone cared’—Non-native-speaking immigrant mothers’ experiences of participating in screening for postpartum depression in the Swedish child health services

Immigrant mothers who have immigrated during the last ten years and do not speak the language of the new country are found to be at particular risk of being affected by postpartum depression (PPD). Still they choose to participate to a lesser extent in screening for PPD and are not screened out as frequently as can be expected. In this study, non-native-speaking immigrant mothers' experiences of participating in screening for PPD in the Swedish Child Health Services were elucidated. Thirteen qualitative interviews were performed with the help of an interpreter and analysed using latent content analysis. The possibility to participate in screening was appreciated by the mothers even though the concept of PPD in general was unclear. Cultural beliefs about mental ill health, negative expectations connected to their perceived value as a woman, shame at not being grateful enough for their new life and negative experience of the interaction during the screening challenged them in speaking about their mood. To facilitate the screening procedure for this vulnerable group of mothers, it is important to be aware of possible challenges when speaking about their mood and to strive for a trusting clinical interview with the assistance of a female interpreter on-site.

Neuroticism modulates mood responses to pharmacological sex hormone manipulation in healthy women

BACKGROUND

Women show increased risk of depressive symptoms during hormonal transition phases. The risk mechanisms may include changes in mood in response to fluctuating ovarian hormones moderated by predisposing risk factors for mood disorders, such as personality trait Neuroticism.

METHODS

A pooled sample of 92 mentally healthy women (28.3 ± 7.1, mean age ± SD) from two independent cohorts run in our lab, using gonadotropin-releasing hormone agonist (GnRHa) experimentally (n = 28) compared to placebo (n = 27) and as part in vitro fertilization (n = 37), were extracted from the Center for Integrated Molecular Brain Imaging database. All women filled in questionnaires of trait Neuroticism from the NEO personality Inventory-Revised (NEO PI-R) at baseline and self-reported levels of mood disturbances with the Profile of Mood States (POMS) daily during 14 days of GnRHa intervention or placebo. Effects of intervention by trait Neuroticism on serial daily reports of mood disturbances were examined using mixed model analyses.

RESULTS

Personality trait Neuroticism significantly modulated daily mood responses to GnRHa, but not placebo. Women with high and low scores on trait Neuroticism at baseline experienced more pronounced changes in mood when exposed to GnRHa, whereas women with medium trait Neuroticism scores remained relatively stable.

CONCLUSIONS

The susceptibility to hormone-triggered mood changes appears to depend upon women's general tendency to experience distress and destabilization of mood, as captured by personality trait Neuroticism. This could aid clinicians evaluate hormone-related vulnerability for mood disorders in women and may guide targeted prevention in reproductive care.

Depression, depressive symptoms and treatments in women who have recently given birth: UK cohort study

OBJECTIVES

To investigate how depression is recognised in the year after child birth and treatment given in clinical practice.

DESIGN

Cohort study based on UK primary care electronic health records.

SETTING

Primary care.

PARTICIPANTS

Women who have given live birth between 2000 and 2013.

OUTCOMES

Prevalence of postnatal depression, depression diagnoses, depressive symptoms, antidepressant and non-pharmacological treatment within a year after birth.

RESULTS

Of 206 517 women, 23 623 (11%) had a record of depressive diagnosis or symptoms in the year after delivery and more than one in eight women received antidepressant treatment. Recording and treatment peaked 6-8 weeks after delivery. Initiation of selective serotonin reuptake inhibitors (SSRI) treatment has become earlier in the more recent years. Thus, the initiation rate of SSRI treatment per 100 pregnancies (95% CI) at 8 weeks were 2.6 (2.5 to 2.8) in 2000-2004, increasing to 3.0 (2.9 to 3.1) in 2005-2009 and 3.8 (3.6 to 3.9) in 2010-2013. The overall rate of initiation of SSRI within the year after delivery, however, has not changed noticeably. A third of the women had at least one record suggestive of depression at any time prior to delivery and of these one in four received SSRI treatment in the year after delivery.Younger women were most likely to have records of depression and depressive symptoms. (Relative risk for postnatal depression: age 15-19: 1.92 (1.76 to 2.10), age 20-24: 1.49 (1.39 to 1.59) versus age 30-34). The risk of depression, postnatal depression and depressive symptoms increased with increasing social deprivation.

CONCLUSIONS

More than 1 in 10 women had electronic health records indicating depression diagnoses or depressive symptoms within a year after delivery and more than one in eight women received antidepressant treatment in this period. Women aged below 30 and from the most deprived areas were at highest risk of depression and most likely to receive antidepressant treatment.

Brexanolone injection in post-partum depression: two multicentre, double-blind, randomised, placebo-controlled, phase 3 trials

BACKGROUND

Post-partum depression is associated with substantial morbidity, and improved pharmacological treatment options are urgently needed. We assessed brexanolone injection (formerly SAGE-547 injection), a positive allosteric modulator of γ-aminobutyric-acid type A (GABA_A) receptors, for the treatment of moderate to severe post-partum depression.

METHODS

We did two double-blind, randomised, placebo-controlled, phase 3 trials, at 30 clinical research centres and specialised psychiatric units in the USA. Eligible women were aged 18-45 years, 6 months post partum or less at screening, with post-partum depression and a qualifying 17-item Hamilton Rating Scale for Depression (HAM-D) score (≥26 for study 1; 20-25 for study 2). Women with renal failure requiring dialysis, anaemia, known allergy to allopregnanolone or to progesterone, or medical history of schizophrenia, bipolar disorder, or schizoaffective disorder were excluded. Patients were randomly assigned (1:1:1) to receive a single intravenous injection of either brexanolone 90 μg/kg per h (BRX90), brexanolone 60 μg/kg per h (BRX60), or matching placebo for 60 h in study 1, or (1:1) BRX90 or matching placebo for 60 h in study 2. Patients, the study team, site staff, and the principal investigator were masked to treatment allocation. The primary efficacy endpoint was the change from baseline in the 17-item HAM-D total score at 60 h, assessed in all patients who started infusion of study drug or placebo, had a valid HAM-D baseline assessment, and had at least one post-baseline HAM-D assessment. The safety population included all randomised patients who started infusion of study drug or placebo. Patients were followed up until day 30. The trials have been completed and are registered with ClinicalTrials.gov, numbers NCT02942004 (study 1) and NCT02942017 (study 2).

FINDINGS

Participants were enrolled between Aug 1, 2016, and Oct 19, 2017, in study 1, and between July 25, 2016, and Oct 11, 2017, in study 2. We screened 375 women simultaneously across both studies, of whom 138 were randomly assigned to receive either BRX90 (n=45), BRX60 (n=47), or placebo (n=46) in study 1, and 108 were randomly assigned to receive BRX90 (n=54) or placebo (n=54) in study 2. In study 1, at 60 h, the least-squares (LS) mean reduction in HAM-D total score from baseline was 19·5 points (SE 1·2) in the BRX60 group and 17·7 points (1·2) in the BRX90 group compared with 14·0 points (1·1) in the placebo group (difference -5·5 [95% CI -8·8 to -2·2], p=0·0013 for the BRX60 group; -3·7 [95% CI -6·9 to -0·5], p=0·0252 for the BRX90 group). In study 2, at 60 h, the LS mean reduction in HAM-D total score from baseline was 14·6 points (SE 0·8) in the BRX90 group compared with 12·1 points (SE 0·8) for the placebo group (difference -2·5 [95% CI -4·5 to -0·5], p=0·0160). In study 1, 19 patients in the BRX60 group and 22 patients in the BRX90 group had adverse events compared with 22 patients in the placebo group. In study 2, 25 patients in the BRX90 group had adverse events compared with 24 patients in the placebo group. The most common treatment-emergent adverse events in the brexanolone groups were headache (n=7 BRX60 group and n=6 BRX90 group vs n=7 placebo group for study 1; n=9 BRX90 group vs n=6 placebo group for study 2), dizziness (n=6 BRX60 group and n=6 BRX90 group vs n=1 placebo group for study 1; n=5 BRX90 group vs n=4 placebo group for study 2), and somnolence (n=7 BRX60 group and n=2 BRX90 group vs n=3 placebo group for study 1; n=4 BRX90 group vs n=2 placebo group for study 2). In study 1, one patient in the BRX60 group had two serious adverse events (suicidal ideation and intentional overdose attempt during follow-up). In study 2, one patient in the BRX90 group had two serious adverse events (altered state of consciousness and syncope), which were considered to be treatment related.

INTERPRETATION

Administration of brexanolone injection for post-partum depression resulted in significant and clinically meaningful reductions in HAM-D total score at 60 h compared with placebo, with rapid onset of action and durable treatment response during the study period. Our results suggest that brexanolone injection is a novel therapeutic drug for post-partum depression that has the potential to improve treatment options for women with this disorder.

FUNDING

Sage Therapeutics, Inc.

Self-reported perinatal depressive symptoms and postnatal symptom severity after treatment with antidepressants in pregnancy: a cross-sectional study across 12 European countries using the Edinburgh Postnatal Depression Scale

PURPOSE

This study aimed at exploring the prevalence of self-reported antenatal and postnatal depressive symptoms by severity across multiple countries and the association between antidepressant treatment in pregnancy and postnatal symptom severity.

MATERIALS AND METHODS

This was a multinational web-based study conducted across 12 European countries (n=8069). Uniform data collection was ensured via an electronic questionnaire. Pregnant women at any gestational week and mothers of children with <1 year of age could participate. We used the Edinburgh Postnatal Depression Scale (EPDS) to measure the prevalence of antenatal and postnatal depressive symptoms according to severity, which were corrected by survey weight adjustment (descriptive analysis). Within mothers with a psychiatric disorder (n=173), we estimated the association between antidepressant treatment in pregnancy and postnatal depressive symptom severity, as standardized EPDS mean scores, via the inverse probability of treatment weight (association analysis).

RESULTS

In the descriptive analysis (n=8069), the period prevalence of moderate-to-very severe depressive symptoms was higher in the western and eastern regions relative to the northern region, both in the antenatal period (6.8%-7.5% vs 4.3%) and in the postnatal period (7.6% vs 4.7%). One in two mothers with psychiatric disorders used an antidepressant in pregnancy (86 of 173). In the association analysis, women medicated at any time during pregnancy (adjusted β=-0.34, 95% confidence interval [CI] =-0.66, -0.02) had a significant postnatal symptom severity reduction compared with the nonmedicated counterpart. This effect was larger (β=-0.74, 95% CI =-1.24, -0.24) when the analysis was restricted to mothers within 6 months after childbirth.

CONCLUSION

The prevalence of self-reported antenatal and postnatal depressive symptoms differs across European countries. Among women with psychiatric disorders, those who had been on treatment with antidepressants during pregnancy were less likely to report postnatal depressive symptoms, particularly within the 6-month period after childbirth, compared with the nonmedicated counterpart.

Measuring outcomes of digital technology-assisted nursing postpartum: A randomized controlled trial

AIM

To determine if delivering electronic messages from nurses during the first 6 months postpartum is feasible, acceptable and effective in improving mood and decreasing parenting stress.

BACKGROUND

Competing demands during the postpartum hospitalization make focused time for nurses to provide education and support difficult. Unmet needs following discharge may increase the incidence of postpartum depression. Untreated depression negatively affects families, especially for vulnerable women with limited access to health care.

DESIGN

This is a longitudinal cohort study in three phases. Feasibility and acceptability were assessed during Phases 1 & 2. Phase 3 is a randomized controlled trial (RCT) with three conditions.

METHODS

This protocol was approved by the Institutional Review Board of the maternity hospital on 12 May 2015 and reviewed annually. Women are enrolled during the maternity hospitalization, after which randomization occurs. The control group receives usual care. Intervention I participants receive a standardized electronic message four times/week for 6 months postpartum. Intervention II participants receive the messages and the option to request a call from a nurse. Electronic surveys at 3 weeks, 3 months and 6 months postpartum measure depressive symptoms using the Edinburgh Postnatal Depression Scale and parenting stress using the Parenting Stress Index-Short form. Patient satisfaction, nursing time and expertise required are also measured.

DISCUSSION

Phase 1 and 2 have demonstrated the intervention is feasible and acceptable to women. Phase 3 enrolment is completed, and the last follow-up surveys were emailed to participants in February 2018. Results will help inform efforts to continue nursing care after hospital discharge.

Adverse life events, psychiatric history, and biological predictors of postpartum depression in an ethnically diverse sample of postpartum women

BACKGROUND

Race, psychiatric history, and adverse life events have all been independently associated with postpartum depression (PPD). However, the role these play together in Black and Latina women remains inadequately studied. Therefore, we performed a case-control study of PPD, including comprehensive assessments of symptoms and biomarkers, while examining the effects of genetic ancestry.

METHODS

We recruited our sample (549 cases, 968 controls) at 6 weeks postpartum from obstetrical clinics in North Carolina. PPD status was determined using the MINI-plus. Psychiatric history was extracted from medical records. Participants were administered self-report instruments to assess depression (Edinburgh Postnatal Depression Scale) and adverse life events. Levels of estradiol, progesterone, brain-derived neurotrophic factor, oxytocin, and allopregnanalone were assayed. Principal components from genotype data were used to estimate genetic ancestry and logistic regression was used to identify predictors of PPD.

RESULTS

This population was racially diverse (68% Black, 13% Latina, 18% European). Genetic ancestry was not a predictor of PPD. Case status was predicted by a history of major depression (p = 4.01E-14), lifetime anxiety disorder diagnosis (p = 1.25E-34), and adverse life events (p = 6.06E-06). There were no significant differences between groups in any hormones or neurosteroids.

CONCLUSIONS

Psychiatric history and multiple exposures to adverse life events were significant predictors of PPD in a population of minority and low-income women. Genetic ancestry and hormone levels were not predictive of case status. Increased genetic vulnerability in conjunction with risk factors may predict the onset of PPD, whereas genetic ancestry does not appear predictive.

Postpartum psychiatric disorders

Pregnancy is a complex and vulnerable period that presents a number of challenges to women, including the development of postpartum psychiatric disorders (PPDs). These disorders can include postpartum depression and anxiety, which are relatively common, and the rare but more severe postpartum psychosis. In addition, other PPDs can include obsessive-compulsive disorder, post-traumatic stress disorder and eating disorders. The aetiology of PPDs is a complex interaction of psychological, social and biological factors, in addition to genetic and environmental factors. The goals of treating postpartum mental illness are reducing maternal symptoms and supporting maternal-child and family functioning. Women and their families should receive psychoeducation about the illness, including evidence-based discussions about the risks and benefits of each treatment option. Developing effective strategies in global settings that allow the delivery of targeted therapies to women with different clinical phenotypes and severities of PPDs is essential.

Association between maternal depression and maternal sensitivity from birth to 12 months: a meta-analysis

Maternal sensitivity plays a central role in shaping children's development across a number of domains, and may be disrupted by depression. The current meta-analysis quantified the magnitude of the association between depression and maternal sensitivity, defined broadly as timely, contingent, and appropriate responding to infants' cues, from birth to 12 months. Across k = 48 studies and n = 4,934 mother-infant dyads, the aggregate effect size between depression and maternal sensitivity was r = -.16, p < .0001, indicating that mothers with higher depression levels were less sensitive than mothers with lower depression levels. Studies that compared a depressed group with a nondepressed/control group had larger effect sizes (r = -.35, p < .0001) than studies that examined depression within a single sample of either unselected cases or clinical-only cases (r = -.11, p < .001), suggesting that clinical levels of depression may pose a particular threat to sensitive parenting. Clinical implications (e.g. screening, prevention) are discussed.