Association of gender disadvantage factors and gender preference with antenatal depression in women: a cross-sectional study from rural Maharashtra

Prevalence and associated factors of antenatal depression in rural Bangladesh

BACKGROUND

According to the World Health Organization (WHO), approximately 322 million individuals all over the world suffered from depressive disorders in 2015. The risk of depression increases in pregnancy due to certain hormonal changes in the body. Despite the severe impacts of antenatal depression on both maternal and infant health, research on this issue remains limited in Bangladesh.

OBJECTIVE

To identify the prevalence and associated factors of antenatal depression in rural Bangladesh.

METHOD

A cross-sectional study was conducted from January 08 to January 14, 2024, in Lohagara, a rural subdistrict of Narail in southern Bangladesh. The study recruited 350 pregnant women in different trimesters who attended antenatal checkups at a government health complex and a private hospital. Data was collected by face-to-face interviews using the Bengali-translated version of the Edinburgh Postnatal Depression Scale (EPDS) and another structured questionnaire. Pearson's chi-square test, bivariate, and multivariate logistic regression were conducted to identify associated factors. Data were analyzed using STATA version 14.

RESULT

The point prevalence of antenatal depression was 39% (38.9%, 95% CI = 33.9% to 44%). Gestational week (AOR = 0.4, 95% CI = 0.2, 0.8), unintended pregnancy (AOR = 1.7, 95% CI = 1, 3), intimate partner violence (AOR = 3.3, 95% CI = 1.1, 9.7), a history of previous diseases (AOR = 2.4, 95% CI = 1.1, 5.2), and having polygamous husbands (AOR = 13.6, 95% CI = 1.1, 164) were found significantly associated with the development of depression in pregnancy.

CONCLUSION

The high prevalence of prenatal depression in rural Bangladesh highlights the urgent need for effective intervention. Raising awareness among healthcare professionals and families of pregnant women is essential to reducing its impact. Strategic planning and policymaking are necessary to address underlying social issues such as polygamy and intimate partner violence. Additionally, providing enhanced counseling and care for women with unplanned pregnancies or pre-existing health conditions is crucial for improving maternal mental well-being.

Global prevalence of depression, anxiety, and stress symptoms in different trimesters of pregnancy: A meta-analysis and meta-regression

The global prevalence of psychological problems in different trimesters is unclear due to methodological constraints in previous reviews. A precise estimate would be a key first step in raising awareness and allocating resources. This review aims to (1) calculate the global prevalence of depression, anxiety, and stress symptoms during different trimesters and (2) determine the factors influencing their prevalence estimates. A comprehensive search across eight databases was conducted. The meta packages in R software were used to perform meta-analysis, subgroup analysis, and meta-regression analysis. The Newcastle Ottawa Scale was used to assess the study quality, while the Grading of Recommendations, Assessment, Development, and Evaluation method was utilized to assess the certainty of the evidence. A total of 88 studies with 61,719 participants across 48 countries were included. The prevalences of depression, anxiety, and stress symptoms during all trimesters were 27% (95% CI: 23-31), 37% (95% CI: 31-42), and 26% (95% CI: 9-49), respectively. The second trimester had the highest prevalence of depression (30%) and anxiety (28%) symptoms, whereas the third trimester had the highest prevalence of stress symptoms (52%). A series of subgroup and meta-regression analyses revealed that regions, economic levels of the country, setting, the COVID-19 pandemic, and quality of study were significant factors. Most studies were high quality, but the certainty of the evidence was very low. Findings can contribute as evidence to raising awareness about specific psychological problems during different trimesters. Implementing effective policies and launching targeted interventions can help minimize the prevalence.

Global Prevalence of Perinatal Depression and Its Determinants Among Rural Women: A Systematic Review and Meta-Analysis

Background: Perinatal depression (PND) in low-resource areas is a significant concern that imposes a substantial burden on both families and societies. Although many studies have explored rural PND, there is a lack of systematic synthesis of the existing research. This study aimed to estimate the global prevalence of PND among rural women and to summarize its determinants. Methods: Comprehensively electronic searches were performed across eight English databases. Two reviewers independently assessed the eligibility of the study and extracted the relevant data. Any inconsistencies were resolved through discussion with a third reviewer. Prevalence estimates were calculated using a random-effects meta-analysis model. Subgroup analysis, sensitivity analysis, and meta-regression were employed to examine the source of heterogeneity. In addition, a narrative synthesis of the influence factors reported in the included studies was provided. Results: The search identified 17,810 studies, of which 86 were included in the analyses. The pooled prevalence of PND in rural areas was 22.1% (95% CI 19.0%-25.3%, p < 0.001, I 2 = 99.2%). Subgroup analyses indicated higher PND prevalence in low-income (24.5%) and lower middle-income countries (22.8%). Additionally, PND prevalence was greater when assessed using self-reported screening instruments (22.8%) compared to diagnostic interviews (17.6%). Major risk factors included violence, antenatal psychiatric disorder, low family income, male-child preference, and food insecurity, while positive social support and higher levels of education were protective factors. Conclusions: Our findings suggest that the prevalence of PND is higher in rural areas compared to global data, particularly in low-income and lower middle-income countries. To improve rural maternal mental health, it is essential to develop measures targeting modifiable risk factors for PND, including promoting gender equality, implementing antiviolence initiatives, and strengthening economic support systems. Addressing these factors can help reduce the burden of PND and enhance the well-being of mothers in rural communities.

Factors associated with depression during pregnancy in women receiving high- and low-risk prenatal care: a predictive model

Introduction

Depression during pregnancy can put strain on pregnant women's interpersonal relationships, the formation of emotional bonds with the fetus, and the adaptation to the new routine and social role post-pregnancy. Some studies have associated socioeconomic factors, emotional factors, interpersonal relationships, perceived social support, gestational risk, and the occurrence of certain diseases during pregnancy with higher risk of depression.

Objectives

This study aimed to investigate the prevalence of depression during pregnancy and associated factors in low- and high-risk prenatal patients at a Brazilian university hospital.

Methods

This study presents a retrospective and prospective cross-sectional design. A total of 684 prenatal psychological analysis records from a Brazilian tertiary university service were retrospectively evaluated to assess depression through the PRIME-MD questionnaire between 2002-2017. Between 2017 and 2018, 76 patients treated at the same service were prospectively evaluated with the aforementioned instrument. Medical records were accessed to obtain labor and birth data. Multivariate analyses assessed the association between sociodemographic, gestational or obstetric, and health variables and the presence of depression during pregnancy.

Results

A total of 760 pregnant women were included in the study, with a depression prevalence of 20.66% (n = 157). At the time of assessment, 48 (21.05%) women from the low-risk pregnancy group and 109 (20.49%) from the high-risk pregnancy group were depressed. The mean age was 30.01 ± 6.55 years in the group with depression and 29.81 ± 6.50 years in the group without depression. In the univariate analysis, there was an association of risk for depression with absence of paid work, absence of a partner, low family income and diagnosis of epilepsy, being a protective factor the presence of diabetes during pregnancy. However, in the multivariate analysis, a lower family income, not having a partner at the time of the assessment, and the prevalence of epilepsy were independently associated with an increased risk of depression during pregnancy.

Conclusion

This study showed that 1 in 5 women had depression during pregnancy, with no association with obstetric risk, but those women living in unfavorable economic conditions, without a partner, and having epilepsy were at increased risk of depression.

Antenatal depression and anxiety in Indian women: A systematic review

There is good evidence to suggest that high prevalence of depression and anxiety in the postpartum period. However, very few studies have focused on antenatal depression and anxiety disorders and their associated risk factors. Further, there are only a handful of studies from India on common antenatal mental health disorders. With this background, we reviewed the existing evidence on antenatal depression and anxiety from the studies conducted in Indian pregnant women during the antenatal period and to explore the associated risk factors. All the major databases were searched systematically for English language studies on prevalence and risk factors for antenatal depression and anxiety in Indian pregnant females, published during the period January 2000 to May 2022. Quality assessment of studies was done with the modified version of Newcastle Ottawa Scale for cross-sectional studies. We found the overall prevalence of antenatal depression was ranged from 3.8% to 65% and antenatal anxiety from 13 to 55%. The most relevant risk factors associated with antenatal depression and anxiety during pregnancy were preference to have a male child, intimate partner violence, history of abortions, marital conflict, poor relationship with the husband/in-laws and lack of social support. To conclude, the systematic review suggests that depressive and anxiety disorders are quite common in Indian pregnant women in antepartum period with varying prevalence depending on various settings and scales used. Steps should be taken to promote obstetricians for regular mental health screening during the antenatal visits and prompt referral to mental health professionals when suspected.

Mobile Mental Health in Women's Community-Based Organizations: Protocol for a Pilot Randomized Controlled Trial

BACKGROUND

Of every 10 women in rural India, 1 suffers from a common mental disorder such as depression, and untreated depression is associated with significant morbidity and mortality. Several factors lead to a large treatment gap, specifically for women in rural India, including stigma, lack of provider mental health workforce, and travel times. There is an urgent need to improve the rates of detection and treatment of depression among women in rural India without overburdening the scarce mental health resources.

OBJECTIVE

We propose to develop, test, and deploy a mental health app, MITHRA (Multiuser Interactive Health Response Application), for depression screening and brief intervention, designed for use in women's self-help groups (SHGs) in rural India.

METHODS

We will use focus groups with SHG members and community health workers to guide the initial development of the app, followed by iterative modification based on input from a participatory design group consisting of proposed end users of the app (SHG members). The final version of the app will then be deployed for testing in a pilot cluster randomized trial, with 3 SHGs randomized to receive the app and 3 to receive enhanced care as usual.

RESULTS

This study was funded in June 2021. As of September 2022, we have completed both focus groups, 1 participatory design group, and app development.

CONCLUSIONS

Delivering app-based depression screening and treatment in community settings such as SHGs can address stigma and transportation-related barriers to access to depression care and overcome cultural and contextual barriers to mobile health use. It can also address the mental health workforce shortage. If we find that the MITHRA approach is feasible, we will test the implementation and effectiveness of MITHRA in multiple SHGs across India in a larger randomized controlled trial. This approach of leveraging community-based organizations to improve the reach of depression screening and treatment is applicable in rural and underserved areas across the globe.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/42919.

Social Determinants and Prevalence of Antenatal Depression among Women in Rural Bangladesh: A Cross-Sectional Study

The prevalence of antenatal depression in Bangladesh ranges from 18 to 33%. Antenatal depression has negative impacts on the mother and child such as suicidal ideations, low birth weight, and impaired fetal development. This cross-sectional study aims to determine the prevalence and social determinants of antenatal depression in rural Sylhet, Bangladesh. Data were collected from 235 pregnant women between March and November 2021. The validated Bangla Edinburgh Postnatal Depression Scale was used to measure antenatal depressive symptoms (ADS). Background information was collected using a structured questionnaire including the Duke Social Support and Stress Scale, pregnancy choices, and WHO Intimate Partner Violence questions. Point-prevalence of antenatal depression was 56%. Intimate partner violence (IPV) before pregnancy (adjusted odds ratio (AOR) 10.4 [95% confidence interval (CI) 2.7-39.7]) and perceived husband's male gender preference (AOR 9.9 [95% CI 1.6-59.6]) were significantly associated with increased odds of ADS among pregnant women. Increased family support was a significant protective factor for ADS (AOR 0.94 [95% CI 0.91-0.97]). Antenatal depression commonly occurs in rural Sylhet, Bangladesh, highlighting the need for improved screening and management within these settings. The findings suggest the need for community-based interventions for women with low family support and experiencing intimate partner violence, and educational programs and gender policies to tackle gender inequalities.

A comprehensive psychological tendency prediction model for pregnant women based on questionnaires

More and more people are under high pressure in modern society, leading to growing mental disorders, such as antenatal depression for pregnant women. Antenatal depression can affect pregnant woman's physical and psychological health and child outcomes, and cause postpartum depression. Therefore, it is essential to detect the antenatal depression of pregnant women early. This study aims to predict pregnant women's antenatal depression and identify factors that may lead to antenatal depression. First, a questionnaire was designed, based on the daily life of pregnant women. The survey was conducted on pregnant women in a hospital, where 5666 pregnant women participated. As the collected data is unbalanced and has high dimensions, we developed a one-class classifier named Stacked Auto Encoder Support Vector Data Description (SAE-SVDD) to distinguish depressed pregnant women from normal ones. To validate the method, SAE-SVDD was firstly applied on three benchmark datasets. The results showed that SAE-SVDD was effective, with its F-scores better than other popular classifiers. For the antenatal depression problem, the F-score of SAE- SVDD was higher than 0.87, demonstrating that the questionnaire is informative and the classification method is successful. Then, by an improved Term Frequency-Inverse Document Frequency (TF-IDF) analysis, the critical factors of antenatal depression were identified as work stress, marital status, husband support, passive smoking, and alcohol consumption. With its generalizability, SAE-SVDD can be applied to analyze other questionnaires.

Antenatal depression and its associated factors among women of Godawari Municipality, Lalitpur, Nepal: a cross-sectional study

OBJECTIVES

To estimate the prevalence of antenatal depression and identify its associated factors among pregnant women of Godawari Municipality, Lalitpur, Nepal.

DESIGN

Community-based cross-sectional study.

SETTING

Godawari Municipality, Lalitpur, Nepal, between September and November 2021.

PARTICIPANTS

250 randomly selected pregnant women of Godawari Municipality, Lalitpur, Nepal.

MAIN OUTCOME MEASURES

The level of antenatal depression was assessed using Edinburgh Postnatal Depression Scale. χ² test and multivariate logistic regression analysis were applied to determine the association between antenatal depression and related variables at 95% level of confidence.

RESULTS

The prevalence of antenatal depression was found to be 24.8% (95% CI: 19.2 to 30.7). Multigravida (AOR: 2.219, 95% CI: 1.113 to 4.423), unintended pregnancy (AOR: 2.547, 95% CI: 1.204 to 5.388), male sex preference of child by family (AOR: 2.531, 95% CI: 1.204 to 5.321) and intimate partner violence (AOR: 2.276, 95% CI: 1.116 to 4.640) were found to be the positive predictors of antenatal depression.

CONCLUSION

This study showed a high prevalence of depression among pregnant women. The results suggest a need for mental health assessment during pregnancy. Screening for depression should be part of routine antenatal checkups for early detection and management of mental health concerns during this vulnerable period.

The correlation between health literacy and mental health literacy in Turkish Society

PURPOSE

The study aims to determine the correlation between health literacy (HL) and mental health literacy (MHL) in Turkish society.

DESIGN AND METHODS

This study was a cross-sectional survey, a form of quantitative research. Data were collected from participants with the personal information form, Turkish Health Literacy Scale, and Mental Health Literacy Scale.

FINDINGS

The study found that 48.2% of the individuals had insufficient-limited HL and that 46.2% had a low level of MHL. A positive weak relationship was found between HL and MHL.

PRACTICE IMPLICATIONS

As HL and MHL are correlated concepts, community health nurses can prepare their nursing action plans accordingly.

Perceptions and attitudes around perinatal mental health in Bangladesh, India and Pakistan: a systematic review of qualitative data

BACKGROUND

Perinatal mental health (PMH) is a worldwide public health issue crossing cultural boundaries. However, the prevalence of PMH conditions vary considerably. These disparities stem in part from poor understanding and stigma surrounding PMH which hinder pregnant women from seeking mental health care and may exacerbate their conditions. Bangladesh, India and Pakistan are South Asian countries with a higher burden of PMH conditions than in the Global North-West and very different social and cultural norms around gender and mental health. The aim of this systematic review (PROSPERO Ref: CRD42020167903) was to identify, synthesise and appraise the available literature on perceptions and attitudes of perinatal (pregnant and postpartum) women, their families and healthcare providers surrounding PMH in Bangladesh, India and Pakistan.

METHODS

Five electronic databases, MEDLINE, Embase, PsycINFO, Scopus and Web of science, and grey literature were searched using predefined search terms. Qualitative or quantitative articles with a qualitative component reporting perceptions and attitudes surrounding PMH in Bangladesh, India and Pakistan were eligible for inclusion, if published in English between January 2000 and January 2021. The Critical Appraisal Skills Programme Qualitative Research Checklist and Newcastle-Ottawa Scale for cross-sectional studies were used to assess study quality. Findings were synthesised using thematic synthesis, as described by Thomas and Harden 2008.

RESULTS

Eight studies were included. Five overarching themes comprising 17 sub-categories were identified. These descriptive themes were: perceived causes of PMH, perceived symptoms of PMH, perceptions of motherhood, accessing PMH care and emotional sharing and coping strategies. Sociocultural expectations underpin many of the themes identified in this review including the importance of familial and societal causes of PMH, emphasis on physical symptoms, sacredness of motherhood, lack of awareness, stigma, shame, limited resources allocated for mental health and lack of emotional sharing.

CONCLUSIONS

There is a complex range of perceptions and attitudes around PMH which influence women's experiences and access to PMH care. These findings will inform policy and practice through targeted interventions to tackle stigmatising attitudes and increasing education and training for healthcare providers.

Social determinants of antenatal depression and anxiety among women in South Asia: A systematic review & meta-analysis

Background

Pregnancy is a time of major psychological changes making pregnant women more susceptible to depression and anxiety. Prevalence is higher among women living in Bangladesh, India and Pakistan, compared to high-income countries, due to poor understanding and lack of mental health integration within antenatal care. Antenatal depression/anxiety is associated with adverse outcomes including postnatal depression, low birth weight and impaired fetal development. Existing systematic reviews provided only limited information on the social determinants of antenatal depression/anxiety in these South Asian countries.

Objective

This review aimed to identify, synthesise and appraise the evidence on the social determinants associated with antenatal depression and anxiety in women living in Bangladesh, India and Pakistan.

Methods

We searched five databases (MEDLINE, Embase, PsycINFO, Scopus, Web of Science) and PROSPERO. Observational studies published between 1^st January 2000 and 4^th January 2021 were included if they were in the English language, used validated tools for measuring depression/anxiety in pregnant women and reported statistical associations or raw numbers. Summary estimates were obtained using random-effects model. Heterogeneity and publication bias was measured using the I² statistic and Egger’s test, respectively. This review was registered on PROSPERO (reference: CRD42020167903).

Results

We included 34 studies (with 27,379 women). Meta-analysis of Adjusted Odds Ratios (AOR) found that Intimate partner violence (AOR 2.48, 95% CI 1.41–4.33), unplanned pregnancy (AOR 1.53, 95% CI 1.28–1.83), male gender preference (AOR 3.06, 95% CI 1.40–6.72) and poor relationship with in-laws (AOR 2.69, 95% CI 1.25–5.80) were significantly associated with antenatal depression/anxiety.

Conclusion

The review identified a complex range of social determinants of antenatal depression and anxiety in Bangladesh, India and Pakistan. Screening tools to identify pregnant women at high risk should be integrated within antenatal care to prevent adverse outcomes. Knowledge of these social determinants will inform the development of such screening tools and interventions.

The relationship between social support and mental health problems during pregnancy: a systematic review and meta-analysis

Background

Pregnancy is a time of profound physical and emotional change as well as an increased risk of mental illness. While strengthening social support is a common recommendation to reduce such mental health risk, no systematic review or meta-analysis has yet examined the relationship between social support and mental problems during pregnancy.

Methods

The PRISMA checklist was used as a guide to systematically review relevant peer-reviewed literature reporting primary data analyses. PubMed, Psych Info, MIDIRS, SCOPUS, and CINAHL database searches were conducted to retrieve research articles published between the years 2000 to 2019. The Newcastle–Ottawa Scale tool was used for quality appraisal and the meta-analysis was conducted using STATA. The Q and the I² statistics were used to evaluate heterogeneity. A random-effects model was used to pool estimates. Publication bias was assessed using a funnel plot and Egger’s regression test and adjusted using trim and Fill analysis.

Result

From the identified 3760 articles, 67 articles with 64,449 pregnant women were part of the current systematic review and meta-analysis. From the total 67 articles, 22 and 45 articles included in the narrative analysis and meta-analysis, respectively. From the total articles included in the narrative analysis, 20 articles reported a significant relationship between low social support and the risk of developing mental health problems (i.e. depression, anxiety, and self-harm) during pregnancy. After adjusting for publication bias, based on the results of the random-effect model, the pooled odds ratio (POR) of low social support was AOR: 1.18 (95% CI: 1.01, 1.41) for studies examining the relationship between low social support and antenatal depression and AOR: 1.97 (95% CI: 1.34, 2.92) for studies examining the relationship between low social support and antenatal anxiety.

Conclusion

Low social support shows significant associations with the risk of depression, anxiety, and self-harm during pregnancy. Policy-makers and those working on maternity care should consider the development of targeted social support programs with a view to helping reduce mental health problems amongst pregnant women.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12978-021-01209-5.

Pregnancy is a significant event for reproductive-age women. It is supplemented by hormonal changes and can represent a time of increased risk for the occurrence of mental illness like depression, anxiety and self-harm. Providing good social support for the pregnant mother reduce this risk and prevent pregnancy complication and adverse birth outcome. However, no systematic review and/or meta-analysis has explored the associations between social support and mental illness (depression, anxiety, self-harm) among pregnant women. Therefore, this systematic review and meta-analysis aimed to examine the association between social support and mental illness (anxiety, depression, and self-harm) during pregnancy.

The review identified 67 relevant articles with 64,449 pregnant women, from PubMed, Psych Info, MIDIRS, SCOPUS, and CINAHL database. Of the total 67 articles, 22 articles included in the narrative review and 45 articles included in the meta-analysis. Among studies included in the narrative synthesis, a majority of them reported significant positive associations between low social support and antenatal depression, antenatal anxiety and self-harm during pregnancy. Further, the pooled estimates of the meta-analysis show that low social support had a significant positive association with antenatal depression (AOR: 1.18 (95% CI: 1.01, 1.41)) and antenatal anxiety (AOR: 1.97 (95% CI: 1.34, 2.92)). Therefore, maternal health professionals need to have discussions with pregnant women regarding the level and source of social support they receive. Maternal health professionals may also need to consider encouraging the social network of pregnant women to improve social support being given. Policy-makers and those working on maternity care should consider the development of targeted social support programs with a view to helping reduce mental health problems amongst pregnant women.

Burden of family caregivers of Down syndrome children: a cross-sectional study

BACKGROUND

Down syndrome (DS) is the most common chromosomal abnormality encountered by primary care physicians. The demands of families with DS children are significantly high with possible burdens on their primary caregivers.

OBJECTIVE

To assess the burden of DS children on their family primary caregivers and to identify the variables associated with caregiver burden.

METHODS

A cross-sectional study was conducted in Mansoura, Egypt from March 2019 to March 2020 including 457 family primary caregivers and their DS children. Socio-demographic and clinical data were collected through direct interviews. Caregiver burden was assessed by Zarit Burden Interview (ZBI-22) scale. The associations between categorical variables were tested using chi-square test, crude odds ratio and 95% confidence interval. Logistic regression analysis was carried out to detect the variables independently associated with caregiver burden.

RESULTS

More than half (51.9%) of caregivers had no or little burden, 40.7% had mild to moderate burden and 7.4% had moderate to severe burden. Female caregiving, single parent status and DS children of age less than 6 years old, female gender and having congenital heart diseases were the variables independently associated with mild to severe burden with adjusted odds ratios of 4.2, 2.5, 1.5, 2.1 and 1.7, respectively.

CONCLUSIONS

Less than half of family primary caregivers of DS children in Mansoura, Egypt suffered from mild to severe burden. Primary care physicians could recognize caregivers at risk of burden using ZBI-22 scale, and provide appropriate social, medical and psychological care for parents and DS children to mitigate this burden.

Prevalence and determinants of antenatal common mental disorders among women in India: a systematic review and meta-analysis

To review the available evidence about the prevalence and determinants of antenatal common mental disorders (antenatal CMDs) among women in India. We searched Ovid Medline, Embase and Psyinfo systematically from date of inception to Oct. 31, 2019 for publications in English language on the prevalence of antenatal CMDs and their determinants among women in India. All study designs were included. Quality was assessed with Standard Quality Assessment Criteria for Evaluating Primary Research Papers. We performed a meta-analysis using a random effects model. Twenty-seven studies involving 7780 women were analysed. There was a high degree of heterogeneity ((I² = 97.53%). Publication bias [Egger bias = 0.65 (95% CI: 0.36; .94)] was evident. The overall pooled estimate of the prevalence of antenatal CMDs was 21.87% (95% CI: 17.46; 26.29). Significant risk factors reported in the 18 studies which examined them were negative reaction of husband or in-laws to the dowry, difficult relationship with husband/in-laws, lack of support or experiencing violence perpetrated by an intimate partner and preference for or feeling pressured to have a male child. Protective factors were having more education and being employed, having a supportive husband and opportunities for recreation during pregnancy. Antenatal CMDs are highly prevalent among women in India. There is an urgent need for locally developed policies and programmes for mental health promotion during pregnancy, preventive and early intervention for antenatal CMDs among women to be integrated into maternity care in India.

Prevalence and risk factors of perinatal depression among women in rural Bihar: A community-based cross-sectional study

BACKGROUND

Perinatal depression (PND) is one of the most common mental disorders occurring during the perinatal period among women. Few studies examined prevalence and risk factors of PND from rural settings in India. This study aimed to estimate the prevalence of perinatal depression and identify social risk factors for it among women from rural Bihar.

MATERIALS AND METHODS

A cross sectional study was conducted in a community setting in rural areas of Bihar. All perinatal women were screened through a door to door survey and recruited after obtaining informed consent. A semi-structured proforma was used to collect sociodemographic characteristics and family related variables. Edinburgh postnatal depression scale (EPDS) was used to screen for perinatal depression.

RESULTS

A total of 564 perinatal women were recruited into the study. The estimated prevalence of PND was 23.9 % (95 % CI: 20.6,27.6). Multivariate analysis showed perinatal depression was associated with physical illness in the mother, previous history of abortion, poor financial status and ill-treatment by in-laws.

CONCLUSION

Prevalence of perinatal depression among women is high in rural settings of North India. A multitude of factors ranging from physical, obstetric, economic and family related confer a high risk for PND. Comprehensive interventions are needed to address these risk factors of perinatal depression.

The association between social support through contacts with Accredited Social Health Activists (ASHAs) and antenatal anxiety among women in Mysore, India: a cross-sectional study

PURPOSE

In India, antenatal anxiety prevalence estimates range from 6 to 48%. Social support is strongly associated with mental wellbeing, yet most studies have examined the impact of support from partners and family members rather than peers, community members, or health care providers. This study explores the supportive role of Accredited Social Health Activists (ASHA) contacts for antenatal anxiety.

METHODS

Data were analyzed from the Saving Children, Improving Lives project, a quasi-experimental study conducted among rural, pregnant women in India. Regression models were used to estimate adjusted prevalence ratios (aPRs) and 95% confidence intervals for the relationship frequency of ASHA contacts and antenatal anxiety. Antenatal anxiety was measured using a subscale of the Edinburgh Postnatal Depression Scale.

RESULTS

The sample consisted of 480 pregnant women. Reported antenatal anxiety prevalence was 27% (95% CI 23%, 31%). Participants who were more frequently visited by ASHAs at home (aPR: 0.90; 95% CI 0.76, 0.98) and more frequently accompanied by ASHAs to their antenatal care visits (aPR: 0.86, 95% CI 0.78, 0.95) were less likely to report antenatal anxiety. ASHA home visits were protective for the most vulnerable women (primigravida and those experiencing domestic violence) and ASHA accompaniment to antenatal care visits was equally protective for all women.

CONCLUSIONS

ASHAs are valued for their contribution towards maternal health education and linking women of reproductive age to healthcare services. Our findings additionally suggest the important role ASHAs play in providing social support to pregnant women, particularly those who are most vulnerable to experiencing antenatal anxiety.

Association between gender disadvantage factors and postnatal psychological distress among young women: A community-based study in rural India

Common mental health disorders are studied extensively among adult women globally. However, they remain under-researched among young women. This study aims to determine whether gender disadvantage factors are associated with psychological distress among young women in rural India, where the child sex ratio is lower than the national average. A cross-sectional survey was conducted in rural Pune, India. A total of 229 young married women who had a live birth in the last 12 months were screened for psychological distress. The predictors of psychological distress were estimated using multivariable logistic regression analyses. Psychological distress was found among 50 respondents (21.9%). Young women who were married before 18 years had 2.19 times higher odds of distress than women who were married after 18 years. Young women who gave birth to a female infant had 2.43 times higher odds of distress than those who gave birth to a male infant. Lack of partner support and experience of postnatal health complications were other predictors. Study findings ascertain the role of gender disadvantage factors in causing psychological distress. From a public health perspective, early identification and treatment of psychological distress, is imperative, along with addressing gender inequitable practices.

Gender of infant and risk of postpartum depression: a meta-analysis based on cohort and case-control studies

BACKGROUND

It is inconclusive nowadays for the association between infant's gender and their mothers' risk of developing postpartum depression (PPD). In addition, a complete overview is missing. A meta-analysis of cohort and case-control studies was performed to address the question of whether women who gave birth to a female infant were at an increased risk of developing PPD, compared with those giving birth to a male infant.

METHODS

Unrestricted searches were conducted, with an end date parameter of 31 January 2018, of PubMed, Embase, Google Scholar, Cochrane Libraries, and Chinese databases, to identify studies that met pre-stated inclusion criteria. Reference lists of retrieved articles were also reviewed. Either a fixed- or a random-effects model was used to calculate the overall combined risk estimates.

RESULTS

Twenty-three studies involving 119,736 women were included for analysis. Overall, mothers who gave birth to a female infant experienced a significantly increased risk of developing PPD compared with the reference group (OR = 1.15, 95%CI: 1.01-1.31; p = .03). However, substantial heterogeneity (p < .00001; I² = 75%) was observed across studies. Relevant heterogeneity moderators have been identified by subgroup analysis. Sensitivity analysis yielded consistent results. No evidence of publication bias was observed.

CONCLUSIONS

Although the role of potential bias and evidence of heterogeneity should be carefully evaluated, the present study suggests women giving birth to a girl are associated with a higher risk of developing PPD when compared with those giving birth to a boy. Improving family and social communication and reducing gender preference should be important components of any such interventions.Statement of significanceProblem or issue Interestingly, the known risk factors leading to PPD are basically the same in different regions and cultures, but the gender of the infant seems to be an exception.What is already known Some studies conducted in traditional western countries indicated that there is a weak or null association between infant's gender and risk of PPD, while others suggested a positive association. In contrast, studies conducted in Nigeria, India, Turkey and China showed that mothers giving birth to a female infant were at a higher risk of developing PPD.What this paper adds Today, the association between infant's gender and risk of developing postpartum depression (PPD) is still uncertain; additionally, a complete overview is missing. Our study represents the first meta-analysis of risk of PPD associated with infant's gender.

Antenatal depression and its potential causal mechanisms among pregnant mothers in Gondar town: application of structural equation model

BACKGROUND

Various forms of life stressors have been implicated as causes of antenatal depression. However, there is a lack of understanding of which forms of stress lead to antenatal depression and through what mechanisms. Modeling stress processes within a theoretical model framework can enhance an understanding of the mechanisms underlying relationships between stressors and stress outcomes. This study used the stress process model framework to explore the causal mechanisms underlying antenatal depression in Gondar, Ethiopia.

METHODS

Questionnaires, using an Online Data collection Kit (ODK) tool were administered face-to-face in 916 pregnant women in their second and third trimesters. Pregnant women were included from six randomly selected urban districts in Gondar, Ethiopia during June and August 2018. The Edinburgh Postnatal Depression Scale (EPDS) was used to screen for antenatal depression. A Structural Equation Model (SEM) was employed to explore the direct, indirect, and total effect of stressors and mediators of antenatal depression.

RESULT

Sixty-three participants (6.9%) reported symptoms of depression. Of these, 16 (4.7%) and 47 (8.1%) were in their second and third trimesters, respectively. The SEM demonstrated several direct effects on antenatal depression scores including unplanned pregnancy (standardized β = 0.15), having a history of common mental health disorder (standardized β = 0.18) and fear of giving birth to the current pregnancy (standardized β = 0.29), all of which were associated with a higher depression score. Adequate food access for the last 3 months (standardized β = - 0.11) was associated with decreased depression score. Social support (β = - 0.21), marital agreement (β = - 0.28), and partner support (β = -.18) appeared to partially mediate the link between the identified stressors and the risk of antenatal depression.

CONCLUSION

Both direct and indirect effects contributed to higher antenatal depression score in Ethiopian women. The three psychosocial resources namely marital agreement, social and partner support, mediated reduced antenatal depression scores. Early screening of antenatal depression and enhancing the three psychosocial resources would help to improve maternal resilience.

Validation of hindi version of Edinburgh postnatal depression scale as a screening tool for antenatal depression

BACKGROUND

Antenatal depression is recognized as one of the strongest predictors of postnatal depression, which itself is a strong predictor of mental disorders. The detection of antenatal depression is important and requires an accurate and valid screening tool. The Edinburgh Postnatal Depression Scale (EPDS) is one of the most extensively studied screening instruments for assessing postnatal depression.

AIM

To validate a linguistically and contextually appropriate Hindi version of the EPDS for use in women attending antenatal care in Sehore, Madhya Pradesh.

METHODS AND MATERIAL

A rigorously translated and modified Hindi version of the EPDS was developed and validated using the Hindi version of the PHQ-9 as a gold standard. A consecutive sample of women (n = 100) attending antenatal check-ups in healthcare facilities in Sehore district were interviewed.

RESULTS

The validity measure of Receiver Operator Characteristic curve was plotted for different cutoffs of EPDS. The optimal cutoff score for the Hindi validation of the EPDS was 9/10 for antenatal depression with sensitivity, specificity, positive and negative predictive value of 65.38%, 79.73%, 53.13%, and 86.76% respectively and area under the curve 0.7346. The internal consistency using Cronbach's alpha was 0.86 indicating good homogeneity.

CONCLUSION

Findings of this study suggest that the Hindi version of the EPDS can be used as a valid measure to screen antenatal depression in India.

Antenatal depression and its association with adverse birth outcomes in low and middle-income countries: A systematic review and meta-analysis

Background

Depression in pregnancy (antenatal depression) in many low and middle-income countries is not well documented and has not been given priority for intervention due to competing urgencies and the belief that it does not immediately cause fatalities, which mainly emanated from lack of comprehensive research on the area. To fill this research gap, this systematic review was conducted to investigate the burden of antenatal depression and its consequences on birth outcomes in low- and middle-income countries.

Methods

We systematically searched the databases: CINHAL, MEDLINE, EMCare, PubMed, PSyc Info, Psychiatry online, and Scopus for studies conducted in low and middle-income countries about antenatal depression and its association with adverse birth outcomes. We have included observational studies (case control, cross-sectional and cohort studies), written in English-language, scored in the range of “good quality” on the Newcastle Ottawa Scale (NOS), and were published between January 1, 2007 and December 31, 2017. Studies were excluded if a standardized approach was not used to measure main outcomes, they were conducted on restricted (high risk) populations, or had fair to poor quality score on NOS. We used Higgins and Egger’s to test for heterogeneity and publication bias. Primary estimates were pooled using a random effect meta-analysis. The study protocol was registered in PROSPERO with protocol number CRD42017082624.

Result

We included 64 studies (with 44, 035 women) on antenatal depression and nine studies (with 5,540 women) on adverse birth outcomes. Antenatal depression was higher in the lower-income countries (Pooled Prevalence (PP) = 34.0%; 95%CI: 33.1%-34.9%) compared to the middle-income countries (PP = 22.7%, 95%CI: 20.1%-25.2%) and increased over the three trimesters. Pregnant women with a history of economic difficulties, poor marital relationships, common mental disorders, poor social support, bad obstetric history, and exposure to violence were more likely to report antenatal depression. The risk of having preterm birth (2.41; 1.47–3.56) and low birth weight (1.66; 1.06–2.61) was higher in depressed mothers compared to mothers without depression.

Conclusions

Antenatal depression was higher in low-income countries than in middle-income countries and was found to be a risk factor for low birth weight and preterm births. The economic, maternal, and psychosocial risk factors were responsible for the occurrence of antenatal depression. While there could be competing priority agenda to juggle for health policymakers in low-income countries, interventions for antenatal depression should be reprioritized as vitally important in order to prevent the poor maternal and perinatal outcomes identified in this review.

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.

Prevalence of antenatal depression in South Asia: a systematic review and meta-analysis

OBJECTIVE

To estimate the prevalence of antenatal depression in South Asia and to examine variations by country and study characteristics to inform policy, practice and future research.

METHODS

We conducted a comprehensive search of 13 databases including international databases and databases covering scientific literature from South Asian countries in addition to Google Scholar and grey sources from 1 January 2007 to 31 May 2018. Studies reporting prevalence estimates of antenatal depression using a validated diagnostic/screening tool were identified, screened, selected and appraised. Primary outcome was proportion (%) of pregnant women identified as having antenatal depression.

RESULTS

Thirty-three studies involving 13 087 pregnant women were included in the meta-analysis. Twelve studies were rated as high quality and 21 studies were of moderate quality. Overall pooled prevalence of antenatal depression was 24.3 % (95% Confidence Interval (CI) 19.03 to 30.47). Studies showed a high degree of heterogeneity (I²=97.66%) and evidence of publication bias (p=0.668). Prevalence rates for India (17.74%, 95% CI 11.19 to 26.96) and Sri Lanka (12.95%, 95% CI 8.29 to 19.68) were lower compared with the overall prevalence, whereas prevalence rates for Pakistan (32.2%, 95% CI 23.11 to 42.87) and Nepal (50%, 95% CI 35.64 to 64.36) were higher.

CONCLUSIONS

While robust prevalence studies are sparse in most South Asian countries, available data suggest one in four pregnant women is likely to experience antenatal depression in the region. Findings highlight the need for recognition of the issue in health policy and practice and for resource allocation for capacity building at regional and national levels for prevention, diagnosis and treatment.

Characteristics of perinatal depression in rural central, India: a cross-sectional study

Background

Perinatal depression is associated with negative effects on child behavioural, cognitive and emotional development, birth outcomes, and physical growth. In India, increased priority accorded to mental health programs mean it is now possible to reduce the population-level burden of perinatal depression. In this secondary analysis of two studies, we aimed to describe the epidemiological features of depression among community- and facility-based samples of perinatal women from rural central India, and to describe the help-seeking behaviours from those women who screened positive for depression.

Methods

The Community Study was a multi-round population-based cross-sectional survey (n = 6087). The Facility Study was a multi-round facility-based cross-sectional survey (n = 1577). Both studies were conducted in Sehore District, Madhya Pradesh between 2013 and 2017. Field workers conducted structured interviews with perinatal women. The questionnaire had sections relating to sociodemographic characteristics, depression screening using the Patient’s Health Questionnaire (PHQ9), treatment seeking for depression-related symptoms, and disability. Using data pooled from both studies, we tested each characteristic for association with the total screening score and with screening positive for depression.

Results

We identified 224 perinatal women from the Community Study and 130 perinatal women from the Facility Study, of whom 8.8% and 18.5% screened positive for depression, respectively. For the continuous PHQ9 score, there was evidence of a “U” shaped association with age, and positive associations with pregnancy, disability score, suicidality and being a health facility attendee. For the binary PHQ9 score, there was evidence of positive associations with pregnancy, disability score, suicidality and being a health facility attendee.

Conclusions

This study highlights where the largest population-level variations in perinatal depression symptoms are present in this Indian sample, for which mental health service provision should be made a priority. Epidemiological evidence generated by this study, as well as new evidence on peer-delivered interventions for perinatal depression, must be utilized by policy-makers to prioritize mental health services for mothers along with maternal and child health services.

Electronic supplementary material

The online version of this article (10.1186/s13033-018-0248-5) contains supplementary material, which is available to authorized users.

Prevalence and determinants of antenatal depression among women attending primary health care centers in Western Saudi Arabia

Objectives:

To measure the prevalence of antenatal depression among pregnant women attending the primary health care (PHC) antenatal care clinics in Jeddah, Saudi Arabia and to determine associated factors.

Methods:

Following a cross-sectional study design, 320 pregnant women attending the antenatal care clinics in the Ministry of Health PHC Centers in Jeddah, Saudi Arabia between January 1st 2017 and February 15th 2017 were interviewed. A self-administered questionnaire used for data collection asked about socio-demographic variables and included the Edinburgh Postnatal Depression Scale.

Results:

The most common contributor was the harming herself (mean±SD, 2.7±0.60). Factors significantly associated with depression among participants were the number of daughters, previous diagnosis of depression, and financial problems.

Conclusions:

The prevalence of antepartum depression among pregnant women in Jeddah is 57.5%, and the greatest contributor is the thought of harming herself.