Perinatal Depression Research Articles

THERAPEUTIC STRATEGIES FOR THE TREATMENT OF PERINATAL DEPRESSION: An integrative review

Perinatal depression can occur during pregnancy and/or in the following year after childbirth, with adverse repercussions for maternal and child health if left untreated. The aim of this study is to characterize the therapeutic strategies found in the literature for the treatment of perinatal depression in women. An integrative literature review was conducted in the Virtual Health Library and Pubmed databases in December 2023, using the following controlled descriptors: depression; depression, postpartum; pregnancy; pregnant women and treatment. The results came to a final sample of 15 articles and revealed that all of them were conducted in high-income countries. The majority of the studies belonged to the quantitative approach (86.67%) and presented five main therapeutic strategies: bright light therapy, cognitive-behavioral therapy, interpersonal therapy, group music therapy and zuranolone. The review indicated bright light therapy as a promising intervention for perinatal depression, although it requires further studies. It demonstrated the positive impact of cognitive-behavioral therapy and interpersonal therapy in different formats for this period. In postpartum depression, the study showed a favorable outcome for group musical interventions and the use of zuranolone medication for symptom management. It is suggested that future research be carried out using qualitative and qualitative-quantitative approaches, including in countries with limited resources.

Economic evaluation of Maternal Depression Treatment in HIV (M-DEPTH) for perinatal depression among women living with HIV in Uganda: a cost-effectiveness analysis

ObjectiveWe conducted a cost-effectiveness analysis of an evidence-based collaborative care model for treatment of perinatal depression among women living with HIV in Uganda.DesignMaternal Depression Treatment in HIV (M-DEPTH) is a...

COVID-19 Posttraumatic Effects on Perinatal Psychological Distress: A Cross-Sectional Study at the End of the Pandemic Health Emergency.

Psychological distress in pregnant and postpartum women increased during the COVID-19 pandemic. However, the impact of the pandemic in perinatal women at the end of the health emergency has been rarely studied. This study is aimed at investigating the psychological health of pregnant and postpartum women at the end of the COVID-19 public health emergency, hypothesizing that the COVID-19-related fears influence perinatal psychological distress via the mediation of the COVID-19-related posttraumatic impact and loneliness. A total of 200 women in the perinatal period, of which 125 were pregnant and 75 were postpartum, participated in an online survey at the end of the COVID-19 public health emergency in Italy. Depression, anxiety, stress, loneliness, posttraumatic impact of COVID-19 pandemic and COVID-19-related fears were assessed. To test the hypotheses, robust serial mediation analyses were performed. Increased levels of COVID-19-related fears were associated with an increase in perinatal depression, anxiety and stress indirectly through the serial mediation of COVID-19 posttraumatic impact and loneliness. Loneliness played a stronger role in mediating the relationship between COVID-19-related fears and depression than anxiety and stress outcomes. This study should be considered exploratory for its methodological characteristics and nonreplicability of the pandemic condition. However, this study suggests the importance of assessing posttraumatic reactions to 'collective' crises in pregnant and postpartum women for research and clinical practice. In addition, it sustains the role of loneliness as a transversal construct that should be greatly considered in targeting psychological interventions for women in the perinatal period.

Preventive interventions for perinatal mood and anxiety disorders: A review of selected programs

Perinatal mood and anxiety disorders (PMADs) have high prevalence rates and profound deleterious effects on birthing people, families, and society. Counseling interventions have been shown to be effective and carry minimal risk. We review here the protocols and clinical trial data of four preventive counseling interventions that are effective at preventing PMADs. We present the Mothers and Babies (MB) program, a cognitive-behavioral preventive intervention, and Reach Out, Stay Strong, Essentials for mothers of newborns (ROSE), an interpersonal psychotherapy preventive intervention. We also present Mindfulness-Based Cognitive Therapy for Perinatal Depression (MBCT- PD), a preventive intervention that combines a cognitive-behavioral and mindfulness-based approach, and Practical Resources for Effective Postpartum Parenting (PREPP), a parent-infant dyadic intervention with psychodynamic, cognitive-behavioral, mindfulness-based, and psychoeducational elements. We recommend that screening for risk of PMADs (not just current mood symptoms) and providing preventive interventions to those at risk should be included as part of standard obstetrics care.

Development and validation of measures of pharmacists’ acceptability and willingness to screen for perinatal depression

BackgroundWhile pharmacists' roles in mental healthcare are expanding, research exploring pharmacists' acceptability and willingness to provide mental health services is limited. This study developed and validated theory-driven measures of pharmacists’ acceptability and willingness to screen for perinatal depression in community pharmacy settings. Materials/MethodsItems were developed using published literature and the Theoretical Framework of Acceptability (TFA), then content validated using consensus methods with experts who completed the content validity index (CVI). The revised items were disseminated to pharmacists in Australia. Responses were analysed descriptively. Exploratory factor analyses (EFA) were used to explore the factorial structure and generate scales. Multivariate regression analysis was conducted to explore predictors of willingness. ResultsA 58-item questionnaire was developed, encompassing the 7 domains of the TFA and an eighth domain (willingness). The average CVI was 0.92, domain range (0.88–0.96). The universal CVI was 56/58. Expert feedback informed item revision, creation and deletion. Pharmacists' responses (n = 157) to the final 42-item questionnaire indicated overall acceptance and willingness to conduct PND screening. However, perceived knowledge was lacking. The EFA resulted a two-factor solution (1 = acceptance; 2 = self-efficacy). The measurement scales created had good internal consistency. In multivariate regression analysis, ‘Acceptance’ (Beta = 0.949 (0.760–1.103)) and ‘Self-Efficacy’ (Beta = 0.107 (0.036–0.174)) were significant predictors of ‘Willingness’ and the model predicted 77 % of the variation in ‘Willingness’. ConclusionsPsychometrically-sound measures of pharmacists’ acceptability and willingness to screen for PND have been developed with stakeholder input. The questionnaire can be used for standardised measurement of these constructs across studies.

Bidirectional associations between perinatal allopregnanolone and depression severity with postpartum gray matter volume in adult women.

Perinatal depression (PND) is a debilitating condition affecting maternal well-being and child development. Allopregnanolone (ALLO) is important to perinatal neuroplasticity, however its relationship with depression severity and postpartum structural brain volume is unknown. We examined perinatal temporal dynamics and bidirectional associations between ALLO and depression severity and the association between these variables and postpartum gray matter volume, using a random intercept cross-lagged panel model. We identified a unidirectional predictive relationship between PND severity and ALLO concentration, suggesting greater depression severity early in the perinatal period may contribute to subsequent changes in ALLO concentration (β = 0.26, p = 0.009), while variations in ALLO levels during the perinatal period influences the development and severity of depressive symptoms later in the postpartum period (β = 0.38, p = 0.007). Antepartum depression severity (Visit 2, β = 0.35, p = 0.004), ALLO concentration (Visit 2, β = 0.37, p = 0.001), and postpartum depression severity (Visit 3, β = 0.39, p = 0.031), each predicted the right anterior cingulate volume. Antepartum ALLO concentration (Visit 2, β = 0.29, p = 0.001) predicted left suborbital sulcus volume. Antepartum depression severity (Visit 1, β = 0.39, p = 0.006 and Visit 2, β = 0.48, p < 0.001) predicted the right straight gyrus volume. Postpartum depression severity (Visit 3, β = 0.36, p = 0.001) predicted left middle-posterior cingulate volume. These results provide the first evidence of bidirectional associations between perinatal ALLO and depression severity with postpartum gray matter volume.

Perinatal depression and risk of maternal cardiovascular disease: a Swedish nationwide study.

Increasing evidence suggests that some reproductive factors/hazards are associated with a future risk of cardiovascular disease (CVD) in women. While major (non-perinatal) depression has consistently been associated with CVD, the long-term risk of CVD after perinatal depression (PND) is largely unknown. A nationwide population-based matched cohort study involving 55 539 women diagnosed with PND during 2001-14 in Sweden and 545 567 unaffected women individually matched on age and year of conception/delivery was conducted. All women were followed up to 2020. Perinatal depression and CVD were identified from Swedish national health registers. Using multivariable Cox models, hazard ratios (HR) of any and type-specific CVD according to PND were estimated. The mean age at the PND diagnosis was 30.8 [standard deviation (SD) 5.6] years. During the follow-up of up to 20 years (mean 10.4, SD 3.6), 3533 (6.4%) women with PND (expected number 2077) and 20 202 (3.7%) unaffected women developed CVD. Compared with matched unaffected women, women with PND had a 36% higher risk of developing CVD [adjusted HR = 1.36, 95% confidence interval (CI): 1.31-1.42], while compared with their sisters, women with PND had a 20% higher risk of CVD (adjusted HR = 1.20, 95% CI 1.07-1.34). The results were most pronounced in women without a history of psychiatric disorder (P for interaction < .001). The association was observed for all CVD subtypes, with the highest HR in the case of hypertensive disease (HR = 1.50, 95% CI: 1.41-1.60), ischaemic heart disease (HR = 1.37, 95% CI: 1.13-1.65), and heart failure (HR 1.36, 95% CI: 1.06-1.74). Women with PND are at higher risk of CVD in middle adulthood. Reproductive history, including PND, should be considered in CVD risk assessments of women.

Perinatal depression and incident maternal cardiovascular disease: a neglected association.

Perinatal depression and incident maternal cardiovascular disease: a neglected association.

A very, very lonely, unmagical time. The lived experience of perinatal anxiety: A longitudinal interpretative phenomenological analysis

ProblemMinimal longitudinal qualitative evidence examining lived experience of anxiety over the perinatal continuum limits holistic understanding of the course of antenatal and postnatal anxiety. BackgroundPerinatal anxiety has deleterious effects on the mother and infant and is more commonly experienced yet less well investigated than perinatal depression. Aim and methodTo explore women's experiences living with perinatal anxiety to increase understanding of the condition; inform support given by midwives and other health professionals and provide practice, education, and research recommendations. Five women were interviewed at three timepoints, producing 15 datasets. Data was analysed using longitudinal interpretative phenomenological analysis. FindingsNine Group Experiential Themes emerged: the anxious mother, transformation, sets of ears and the anxious pregnancy (antenatal); baby as external focus, returning to oneself and the emotional unknown (early postnatal); and moving on, and shifting sands (late postnatal). Three Longitudinal Experiential Concepts explicated lived experience over time: maternal eyes, transforming existence, and emotional kaleidoscope. The lived experience of perinatal anxiety was revealed as socially constructed, with relationships with self, others, and the world key. The collision between anxiety and motherhood as social constructs provides perinatal anxiety with its unique characteristics. ConclusionMidwives and other healthcare professionals should understand the significance of perinatal anxiety, enabling disclosure of stigmatising and uncomfortable feelings without judgement. Research examining whether perinatal specific screening tools should be used by midwives and exploring the relationship between perinatal anxiety and depression is recommended. Education for clinicians on the significance of perinatal anxiety is essential.

Perinatal mental disorders and suicidal risk among adolescent mothers living in urban areas of Cameroon.

In sub-Saharan Africa the birth rate among teenage mothers is the highest in the world. In 2021, there would be 6,114,000 births for 15-19-year-olds in this part of the world. In Cameroon, the fertility rate among adolescents aged 15-19 is 24%. However, there is a significant lack of data on the mental health of teenage mothers. Given the biopsychosocial conditions of the perinatal period and adolescence, we hypothesise that the prevalence of mental disorders and the risk of suicide is very high in Cameroon. The aim is therefore to determine the prevalence of perinatal mental disorders and suicide risk among adolescent mothers in urban areas of Cameroon. Following ethical approval of the submitted protocol, we recruited adolescent mothers and data were collected using diagnostic interviews based on the DSM-5, PDM-2 and MINI guidelines. The types of sampling used were typical and incidental. Data were tabulated with Epidata 3.1 and processed with SPSS 25. 66.4% of adolescent mothers were diagnosed with a mental disorder and 27.4% with suicidal risk. It was found that there was a link between mental disorders and suicidal risk (p<0.001), with mothers at suicidal risk having an 8.4 times greater risk of having a mental disorder (OR=8.423). Linear regression confirmed the statistically significant relationship between perinatal mental disorders and suicidal risk. 31.1% of the total variance in suicidal risk was explained by mental disorders. The regression coefficients for mental disorders with a p<0.05 value is: perinatal depression (-0.279), post-partum psychosis (-0.133), trauma disorder (-0.034), generalised anxiety disorder (-0.008) and conduct disorder (-0.020). Our hypothesis is confirmed, because the prevalence of 66.4% of mental disorders and 27.4% of suicidal risk are significantly high in Cameroon. In some way, the disorders predict suicidal risk, because the less an adolescent mother has one of these pathologies during the perinatal period, the less she will be at risk of suicide. More research of this kind is needed to contribute in providing more data, including solutions to address the morbidity and mortality problems associated with the mental health of teenage mothers.

Determinants of Prenatal Depression in Teenage Pregnant Women: A Comparative Study of Urban and Rural Settings in Lusaka Province, Zambia

Background: Perinatal depression manifests during or after pregnancy, with prenatal depression occurring during pregnancy. Traditionally, research has focused more on postpartum depression, with less attention on prenatal depression among teenagers. Objective: This study aims to examine the correlates of prenatal depression among teenage pregnant women aged 13 to 17 and to explore the relationship between these factors and depression. Methods: A cross-sectional study was conducted at a university teaching hospital and a rural health facility, involving 105 pregnant teenagers. Initial screenings to assess depression were performed using the Edinburgh Postnatal Depression Scale, complemented by psychosocial evaluations with the Perceived Stress Scale and the Rosenberg Self-Esteem Scale. Data analysis was carried out using SPSS version 20, employing both descriptive and inferential statistical methods to interpret the findings. Results: Significant factors influencing prenatal depression included attempts to abort, stress, social support, household income, education level, and marital status. Logistic regression confirmed the significance of these correlates. Conclusion: Multiple factors influence prenatal depression in teenage pregnant women. The findings highlight the need for targeted preventive care and early interventions by medical professionals to improve health outcomes for mothers and infants.

The global burden of perinatal depression: A call to action

The global burden of perinatal depression: A call to action

Integrating evidence and causal mapping of help-seeking behaviour of migrant women with postpartum depression in Shanghai, China: a scoping review protocol

IntroductionThe estimated prevalence of postpartum depression (PPD) worldwide, in China, and Shanghai is 17.2%, 18.0% and 23.2%, respectively. In 2021, Shanghai housed a population of 3.2 million childbearing-age migrant women,...

Prevalence and Predictors of Anxiety and Depression among Perinatal Women in Tertiary Care Hospital: A Cross-Sectional Study

Abstract Introduction The perinatal period is a critical time in a woman's life. The impact of perinatal mental disorders includes new evidence of an increase in their prevalence among young pregnant women. Perinatal mental disorders are one of the most common and undertreated morbidities. Early detection of perinatal mental illness may be supported by evidence on risk factors. Our study aimed to identify the prevalence and risk factors of anxiety and depression and to determine the association between them. Materials and Methods A prospective observational questionnaire-based study was conducted in the obstetrics and gynecology department of a tertiary care hospital for a duration of 6 months. With random sampling, 741 participants were recruited for the study based on inclusion and exclusion criteria. The data were analyzed using SPSS version 28. Results The prevalence of perinatal anxiety and depression was found to be 48.5 and 32.2%, respectively. We discovered a substantial link between perinatal depression and anxiety, with an odds ratio of 3.9. The predictors are gestational age, postpartum age, comorbid conditions, morning sickness, sleep disturbance, sleep duration, loss of appetite, loss of interest in their favorite food, type of family, and presence of risk in their pregnancy. Conclusion Early screening and intervention may drastically and significantly reduce mental disorders existing in the pregnant population. So as health care professionals, we suggest that screening and counseling for depression and anxiety could be included as routine processes in antenatal care.

Improving care for fathers with perinatal depression in the community.

Improving care for fathers with perinatal depression in the community.

Effects of Aerobic, Resistance, and Stretching Exercises on Perinatal Depression among Women: A Literature Review

Effects of Aerobic, Resistance, and Stretching Exercises on Perinatal Depression among Women: A Literature Review

Perinatal posttraumatic stress disorder as a predictor of mother-child bonding quality 8 months after childbirth: a longitudinal study

BackgroundNegative childbirth experiences can be related to the onset of perinatal post-traumatic stress symptomatology (P-PTSS), which significantly impacts the mother and the infant. As a response in the face of the discomfort caused by P-PTSS, maladaptive emotion regulation strategies such as brooding can emerge, contributing to the consolidation of post-partum depressive symptoms. Ultimately, both types of symptomatology, P-PTSS and post-partum depression, can act as risk factors for developing mother-child bonding difficulties. Still, this full set of temporal paths has to date remained untested. The present longitudinal study aimed to analyze the risk factors associated with the appearance of P-PTSS after post-partum and to test a path model considering the role of P-PTSS as an indirect predictor of bonding difficulties at eight months of postpartum.MethodsAn initial sample of pregnant women in the third trimester of gestation (N = 594) participated in a longitudinal study comprising two follow-ups at two and eight months of postpartum. The mothers completed online evaluations that included socio-demographic data and measures of psychological variables. A two-step linear regression model was performed to assess the predictive role of the variables proposed as risk factors for P-PTSS, and a path model was formulated to test the pathways of influence of P-PTSS on bonding difficulties.ResultsA history of psychopathology of the mother, the presence of depression during pregnancy, the presence of medical complications in the mother, and the occurrence of traumatic birth experiences all acted as significant predictors of P-PTSS, explaining 29.5% of its variance. Furthermore, the path model tested further confirmed an indirect effect of P-PTSS, triggered by a negative childbirth experience, on subsequent bonding difficulties eight months after labor through its association with higher levels of brooding and, ultimately, postpartum depression levels. A further path showed that bonding difficulties at two months postpartum can persist at eight months postpartum due to the onset of brooding and postpartum depression symptoms.ConclusionWe identified a set of robust predictors of P-PTSS: the mother’s previous history of depression, perinatal depression during pregnancy, the presence of medical complications in the mother and the occurrence of traumatic birth experiences, which has important implications for prevention. This is particularly relevant, as P-PTSS, when triggered by a negative childbirth experience, further indirectly predicted the development of mother-child bonding difficulties through the mediation of higher use of brooding and symptoms of postpartum depression. These findings can serve as a basis for developing new longitudinal studies to further advance the understanding of perinatal mechanisms of mental health.

A machine learning model to predict the risk of perinatal depression: Psychosocial and sleep-related factors in the Life-ON study cohort

Perinatal depression (PND) is a common complication of pregnancy associated with serious health consequences for both mothers and their babies. Identifying risk factors for PND is key to early detect women at increased risk of developing this condition. We applied a machine learning (ML) approach to data from a multicenter cohort study on sleep and mood changes during the perinatal period (“Life-ON”) to derive models for PND risk prediction in a cross-validation setting. A wide range of sociodemographic variables, blood-based biomarkers, sleep, medical, and psychological data collected from 439 pregnant women, as well as polysomnographic parameters recorded from 353 women, were considered for model building. These covariates were correlated with the risk of future depression, as assessed by regularly administering the Edinburgh Postnatal Depression Scale across the perinatal period. The ML model indicated the mood status of pregnant women in the first trimester, previous depressive episodes and marital status, as the most important predictors of PND. Sleep quality, insomnia symptoms, age, previous miscarriages, and stressful life events also added to the model performance. Besides other predictors, sleep changes during early pregnancy should therefore assessed to identify women at higher risk of PND and support them with appropriate therapeutic strategies.

The role of lack of grandparental support in perinatal depression

BackgroundLow social support has been identified as a risk factor for perinatal mental health problems. However, previous studies mainly focused on partner support or general social support and neglected the roles of grandparents. Here, we examine whether a lack of grandparental support is related to increased risk of a diagnosis of perinatal depression. In addition, we examine whether poor grandparental support is related to more depressive symptoms in mothers with and without previously diagnosed perinatal depression and whether perceived grandparental support buffers against parenting difficulties in mothers with perinatal depression. MethodsThe sample was drawn from an Australian pregnancy cohort study and consisted of 725 women, including 230 women who met criteria for Major Depression. At 12 months postpartum, women reported on grandparental geographical proximity and hours of grandparental childcare support. Perceived grandparental support was assessed with the Postpartum Social Support Questionnaire and parenting difficulties and depressive symptoms with the Parenting Stress Index and the Edinburgh Postnatal Depression Scale. ResultsPerceived grandparental support was related to fewer depressive symptoms among mothers with perinatal depression. In addition, higher levels of perceived grandparental support were related to lower parenting stress in mothers with and without perinatal depression. LimitationsIntergenerational conflicts and quality of grandparenting were not assessed. ConclusionsOur findings indicate that supportive grandparents may prevent the development of more severe perinatal depression in mothers experiencing perinatal mental health problems. Future studies should examine whether involving grandparents in treatment may add to the effectiveness of existing perinatal mental health interventions.

Decision tree-Markov model of perinatal depression screening: a cost-utility analysis.

Perinatal depression affects the physical and mental health of pregnant women. It also has a negative effect on children, families, and society, and the incidence is high. We constructed a cost-utility analysis model for perinatal depression screening in China and evaluated the model from the perspective of health economics. We constructed a Markov model that was consistent with the screening strategy for perinatal depression in China, and two screening strategies (screening and non-screening) were constructed. Each strategy was set as a cycle of 3 months, corresponding to the first trimester, second trimester, third trimester, and postpartum. The state outcome parameters required for the model were obtained based on data from the National Prospective Cohort Study on the Mental Health of Chinese Pregnant Women from August 2015 to October 2016. The cost parameters were obtained from a field investigation on costs and screening effects conducted in maternal and child health care institutions in 2020. The cost-utility ratio and incremental cost-utility ratio of different screening strategies were obtained by multiplicative analysis to evaluate the health economic value of the two screening strategies. Finally, deterministic and probabilistic sensitivity analyses were conducted on the uncertain parameters in the model to explore the sensitivity factors that affected the selection of screening strategies. The cost-utility analysis showed that the per capita cost of the screening strategy was 129.54 yuan, 0.85 quality-adjusted life years (QALYs) could be obtained, and the average cost per QALY gained was 152.17 yuan. In the non-screening (routine health care) group, the average cost was 171.80 CNY per person, 0.84 QALYs could be obtained, and the average cost per QALY gained was 205.05 CNY. Using one gross domestic product per capita in 2021 as the willingness to pay threshold, the incremental cost-utility ratio of screening versus no screening (routine health care) was about -3,126.77 yuan, which was lower than one gross domestic product per capita. Therefore, the screening strategy was more cost-effective than no screening (routine health care). Sensitivity analysis was performed by adjusting the parameters in the model, and the results were stable and consistent, which did not affect the choice of the optimal strategy. Compared with no screening (routine health care), the recommended perinatal depression screening strategy in China is cost-effective. In the future, it is necessary to continue to standardize screening and explore different screening modalities and tools suitable for specific regions.