Dataset Information

Determining factors for the prevalence of depressive symptoms among postpartum mothers in lowland region in southern Nepal.

ABSTRACT:

Background

Postpartum depression is the most common mental health problem among women of childbearing age in resource-poor countries. Poor maternal mental health is linked with both acute and chronic negative effects on the growth and development of the child. This study aimed to assess the prevalence and factors associated with depressive symptoms among postpartum mothers in the lowland region in southern Nepal.

Methods

A hospital-based analytical cross-sectional study was conducted from 1st July to 25th August 2019 among 415 randomly selected postpartum mothers attending the child immunization clinic at Narayani hospital. The postpartum depressive symptoms were measured using the validated Nepalese version of the Edinburg Postnatal Depression Scale (EPDS). The data were entered into EpiData software 3.1v and transferred into Stata version 14.1 (StataCorp LP, College Station, Texas) for statistical analyses. To identify the correlates, backward stepwise binary logistic regression models were performed separately for the dichotomized outcomes: the presence of postpartum depressive symptoms. The statistical significance was considered at p-value <0.05 with 95% confidence intervals (CIs).

Results

Among the total 415 study participants, 33.7% (95% CI: 29.2-38.5%) of postpartum mothers had depressive symptoms. Study participant's whose family monthly income <150 USD compared to ?150 USD (aOR = 13.76, 95% CI: 6.54-28.95), the husband had migrated for employment compared to not migrated (aOR = 8.19, 95% CI:4.11-15.87), nearest health facility located at more than 60 minutes of walking distance (aOR = 4.52, 95% CI: 2.26-9.03), delivered their last child by cesarean section compared to normal (vaginal) delivery (aOR = 2.02, 95% CI: 1.12-3.59) and received less than four recommended antenatal care (ANC) visits (aOR = 2.28, 95% CI:1.25-4.15) had higher odds of depressive symptoms. Participants who had planned pregnancy (aOR = 0.44, 95% CI: 0.25-0.77) were associated with 56% lower odds of depressive symptoms.

Conclusions

One-third of the mothers suffered from postpartum depressive symptoms. The participant's husband migrated for employment, family income, distance to reach a health facility, delivery by cesarean section, not receiving recommended ANC visits, and plan of pregnancy were independent predictors for postpartum depressive symptoms. The study results warranted the urgency for clinical diagnosis of PPD and implementation of preventive package in study settings. Mental health education to pregnant women during ANC visits and proper counseling during the antepartum and postpartum period can also play a positive role in preventing postpartum depression.

SUBMITTER: Singh DR

PROVIDER: S-EPMC7822291 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature

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Publications

Determining factors for the prevalence of depressive symptoms among postpartum mothers in lowland region in southern Nepal.

Singh Devendra Raj DR Sunuwar Dev Ram DR Adhikari Shraddha S Singh Sunita S Karki Kshitij K

PloS one 20210122 1

<h4>Background</h4>Postpartum depression is the most common mental health problem among women of childbearing age in resource-poor countries. Poor maternal mental health is linked with both acute and chronic negative effects on the growth and development of the child. This study aimed to assess the prevalence and factors associated with depressive symptoms among postpartum mothers in the lowland region in southern Nepal.<h4>Methods</h4>A hospital-based analytical cross-sectional study was conduc ...[more]

PMID: 33481863

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Project description:Background:Postpartum contraceptives use offers a distinctive opportunity to maintain appropriate birth spacing for health benefits to both mother and child. However, the concept of postpartum family planning (PPFP) is poorly understood and contraceptives use during the postpartum period remains low in Nepal. Therefore, this study aimed to assess the factors affecting the utilization of family planning (FP) methods among postpartum mothers in the Kailali district, Nepal. Methods:A community-based cross-sectional study was conducted between September and October 2013 among postpartum mothers in Kailali district. Simple random sampling was applied to select a total of 427 study participants. A pre-tested standard semi-structured questionnaire was used for gathering data. Data were analyzed using Statistical Package for Social Sciences (SPSS) version 20.0. Results:Overall, 32.8% of the postpartum women used different types of contraceptives. Condoms (37.1%) followed by Depo-Provera 29.3% were the most used postpartum contraceptives. Half (50%) of the postpartum women had an unmet need for family planning. Multiple logistic regression model revealed that the occupation of husband [AOR=3.2 (95% CI: 2.0-6.00], past use of family planning methods [AOR=4.0 (95% CI:2.4-6.5)] and resumption of menstruation [AOR=2.5 (95% CI:1.6-4.1)] were significantly associated with the use of modern contraceptives during the first year of the postpartum period. Conclusion:Contraceptive uptake within the first year of postpartum was found to be low among women in the Kailali district, Nepal. Previous experience with the use of family planning methods, occupation of the husbands, and resumption of menstruation are important factors in the PPFP decisions of women in this population. Therefore, the family planning program should work on improving couples' knowledge of the risk of pregnancy, fertility returning time and modern contraceptives use during the postpartum period targeting women whose husbands are in migrant occupations, who are not menstruating and who have not used FP before.

Project description:BackgroundIn sub-Saharan Africa (SSA), adolescent girls and young women are three times more likely than boys to have depressive disorders. Understanding adolescents' unique and common vulnerabilities and protective factors is essential for the development of appropriate interventions and programming focused on child and adolescent mental health. This paper examines the prevalence and predictors of depressive symptoms among high school adolescent girls in southern Uganda.MethodsBaseline data from a longitudinal cluster randomized study involving 1260 adolescent girls (14-17 years), recruited from 47 secondary schools were utilized. Depressive symptoms were estimated using the 21-item Beck's Depression Inventory. Hierarchical linear regression modelling was utilized to estimate key predictors of depressive symptoms among adolescent girls.ResultsOf the total sample, 16.35% (n = 206) reported severe depressive symptoms and almost one in every three adolescent girls interviewed (29.68%, n = 374) reported moderate symptoms. These symptoms were more prevalent among older adolescents (16 years and above). In addition, family relationships, social support, as well as measures of psychological wellbeing (self-concept and self-esteem) were all associated with lower levels of depressive symptoms. Hopelessness was associated with higher levels of depressive symptoms among adolescent girls.ConclusionFindings from this study indicate a high prevalence of depressive symptoms, especially among older adolescent girls. In addition, family support factors and adolescents' psychological wellbeing were associated with low levels of depressive symptoms -pointing to the need to strengthen family functioning and adolescent's psychological wellbeing to mitigate risks. Taken together, findings support increasing calls for early screening and detection of depressive symptoms to facilitate timely referral to care and treatment. Findings may also inform the development and incorporation of gender-specific mental health components in programming targeting adolescent girls, in low-resource communities in SSA.Trial registrationThis trial was prospectively registered with ClinicalTrials.gov (registration number: NCT03307226 ) on 11 October 2017.

Project description:ObjectivesGlobally, novel coronavirus disease 2019 (COVID-19) has spread rapidly since it was first identified and challenging the provision of essential services for low-resource countries. Healthcare workers involved in providing care are at high risk of developing mental health problems. The aim of this was to determine the prevalence of depressive symptoms due to COVID-19 and associated factors among healthcare workers in the West Guji zone in public health facilities, southern Ethiopia.MethodsA facility-based cross-sectional study was conducted in public health facilities found in the West Guji zone. A simple random sampling technique was employed to select 283 study subjects. This study was used to assess the prevalence of depression symptoms using Depression, Anxiety and Stress Scale-21, a depression subscale. Descriptive statistics, binary and multiple logistic regressions were used. Adjusted odds ratios (AORs) with 95% confidence interval will be estimated to assess the strength of associations and statistical significance will be declared at a p-value < 0.05.ResultsOut of 283 eligible healthcare workers, 275 respondents had participated in this study with a 97.2% response rate. The prevalence of depressive symptoms was 21.5%. The independent predictors associated with depressive symptoms due to COVID-19 were age (adjusted odds ratio = 2.35, 95% confidence interval = 1.126-3.95), family size (adjusted odds ratio = 3.56, 95% confidence interval = 1.09-11.62), alcohol use (adjusted odds ratio = 4.31, 95% confidence interval = 1.76-10.55), medical illness (adjusted odds ratio = 9.56, 95% confidence interval = 3.71-24.59), having training on COVID-19 (adjusted odds ratio = 0.37, 95% confidence interval = 0.17-0.81), and lack of knowledge on COVID-19 (adjusted odds ratio = 15.34, 95% confidence interval = 6.32-37.21).ConclusionThe prevalence of depressive symptoms among healthcare workers due to COVID-19 was high. Factors associated with depressive symptoms were age, family size, alcohol use, medical illness, having training on COVID-19, and lack of knowledge on COVID-19.

Dataset Information

Determining factors for the prevalence of depressive symptoms among postpartum mothers in lowland region in southern Nepal.

Background

Methods

Results

Conclusions

Publications

Determining factors for the prevalence of depressive symptoms among postpartum mothers in lowland region in southern Nepal.

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