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

ABSTRACT: 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 ??=?0.15), having a history of common mental health disorder (standardized ??=?0.18) and fear of giving birth to the current pregnancy (standardized ??=?0.29), all of which were associated with a higher depression score. Adequate food access for the last 3 months (standardized ??=?-?0.11) was associated with decreased depression score. Social support (??=?-?0.21), marital agreement (??=?-?0.28), and partner support (??=?-.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.

SUBMITTER: Dadi AF

PROVIDER: S-EPMC7079401 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature

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

Dadi Abel Fekadu AF Miller Emma R ER Woodman Richard R Bisetegn Telake Azale TA Mwanri Lillian L

BMC pregnancy and childbirth 20200317 1

<h4>Background</h4>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 ...[more]

PMID: 32183726

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Project description:BackgroundRegardless of significant gains and signs of progress in the last decades, maternal undernutrition remains a major public health concern in Ethiopia. Supporting the progress of interventions being taken in the country with evidence might be important to keep the sustainability of the government effort. We aimed at determining the extent of undernutrition and its associated factors among pregnant mothers in Gondar town, Northwest Ethiopia.MethodA community-based cross-sectional study was conducted by including 940 selected pregnant mothers through a cluster sampling. A face-to-face interview was administered to pregnant mothers at a household level. We collected data using an Online Data collection kit (ODK) and the collected data was directly downloaded from the Google Cloud platform and finally imported to Stata 14 for further analysis. A multivariable logistic regression model was fitted to identify factors associated with undernutrition. A crude and adjusted odds ratio with their 95% confidence interval was calculated to declare the association and its significance. Model fitness was assured through the Hosmer and Lemeshow goodness of fit test and model classification accuracy.Result14.4% (95%CI: 12.3-16.7) of pregnant mothers were undernourished. After adjusting for the main covariates; as the age of the pregnant mothers increases the odds of being undernourished decreases by 10% (AOR: 0.90; 95%CI: 0.87-0.95) and having a poor marital condition (AOR: 2.18; 95%CI: 1.03-4.59) increased the odds of undernutrition. The risk of undernutrition was also decreased by 43% among those pregnant mothers who consumed coffee sometimes (AOR: 0.57; 95%CI: 0.36-0.89) as compared to daily consumers.ConclusionA significant proportion of pregnant mother were undernourished. Integration of nutritional interventions with maternity health services would be highly important to improve the nutritional status of the mothers. It is also important to counsel pregnant mothers about a consequence of frequent coffee drinking during their pregnancy.

Project description:BackgroundThe impact of antenatal depression on pregnancy outcomes has been well investigated in developed countries, but few studies have been conducted in low-income countries. As depression is significantly affected by socio-economic and cultural factors, it would be difficult to generalize evidence from high-income countries to low-income countries. We conducted a community-based cohort study to estimate the incidence of adverse birth outcomes and the direct and indirect pathways via which depression and other psychosocial risk factors may impact such birth outcomes within Gondar town, Ethiopia.MethodsThe study followed 916 pregnant women who were screened for antenatal depression using the Edinburgh Postnatal Depression Scale (EPDS). We also assessed the incidence of preterm births, Low Birth Weight (LBW) and stillbirths. Modified Poisson regression was used to estimate the relative risk of predictors on adverse birth outcomes and a Generalized Structural Equation Model (GSEM) was used to estimate the direct and indirect effect of antenatal depression and other psychological risk factors on adverse birth outcomes.ResultsThe cumulative incidence of stillbirth, LBW and preterm was 1.90%, 5.25%, and 16.42%, respectively. The risk of preterm birth was 1.61, 1.46, 1.49, and 1.77 times higher among participants who identified as Muslim, reported being fearful of delivery, were government employee's, and who had no antenatal care services, respectively. Partner support moderated the association between depression, preterm birth, and LBW. Depression had no direct effect on birth outcomes but indirectly affected preterm birth via partner support. Religion had both direct and indirect effects on preterm birth, while occupation and fear of delivery had direct effects. The risk of LBW was 9.44 and 2.19 times higher among preterm births and those who had exposure to tobacco, respectively. Stress coping was indirectly associated, and preterm birth and tobacco exposure were directly associated with LBW. The risk of stillbirth was 3.22 times higher in women with antenatal depression and 73% lower in women with higher coping abilities.ConclusionsThere was a high incidence of all adverse birth outcomes in Gondar Town. Depression and psychosocial risk factors had important indirect negative effects on risk, while partner support provided a positive indirect effect on the incidence of adverse birth outcomes. Interventions that focus on increasing partner engagement and participation in antenatal support may help reduce adverse birth outcomes by enhancing maternal resilience.

Project description:BackgroundDepression is a common mental disorder. The burden of antenatal depression is higher in developing countries which is 20% as compared to developed ones 10% to 15%. In Ethiopia around one-fifth of pregnant mothers are depressed. Despite the severity of the problem, only a few studies have been done in Ethiopia, and there is no study done in Arba Minch on the problem.ObjectiveTo assess the magnitude and associated factors of antenatal depressive symptoms among pregnant women attending Public Health facilities in Arba Minch town Southern Nations and Nationalities Peoples Region, Ethiopia 2018.MethodsHealth Institution based, cross-sectional study design was used to assess the magnitude and associated factors of antenatal depression among 323 pregnant mothers who came for antenatal care follow-up in all public health facilities in Arba Minch town. The systematic random sampling technique was applied. Interviewer administered, pretested structured Questionnaire containing Edinburgh postpartum depression scale was utilized. EPI INFO was used to enter data and then the data were analyzed by logistic regression using SPSS. Variables with P-value less than 0.2 in the bivariate logistic regression were inserted in for multivariable analysis to see their independent effect and those with P-value less than 0.05 were used to determine the significant association between dependent and independent variables.ResultThe magnitude of antenatal depression was 35.4%. Variables that were significantly associated with antenatal depression on multivariate analysis were anxiety (AOR = 5.49, 95%CI: 2.56, 11.77), un-planned pregnancy (AOR = 2.71, 95%CI: 1.21, 6.07), and Primigravida (AOR = 2.96, 95%CI: 1.28, 6.8). Similarly, uneducated mothers and those who attend only elementary school had AOR 4.92, 95% CI 1.36,17.73 and AOR 4.04955CI 1.23, 13.39 respectively.ConclusionThe magnitude of antenatal depression, intimate partner violence, and threatening life event in Arba Minch town was high. Anxiety, unplanned pregnancy, educational status, and Primigravida were significantly associated factors with depression. There should be a mechanism for routine screening and management of antenatal depression and intimate partner violence during antenatal care follow-up.

Project description:Background:Depression affects approximately 10 to 20% of pregnant women globally, and one in ten and two in five women in developed and developing countries develop depression during pregnancy, respectively. However, evidence regarding its magnitude and predictors in Southern Ethiopia is limited. The present study is aimed at assessing the magnitude and predictors of antenatal depression among pregnant women attending antenatal care in Sodo town. Methods:A facility-based cross-sectional study was conducted among 403 antenatal care attendants in Sodo town from November 2 to January 30, 2017. Systematic random sampling was used to select the study population, and data were collected by using a pretested and structured questionnaire. Data were entered using Epi-data 4.2 and then exported and analyzed using SPSS version 20. Bivariate and multivariable logistic regression analyses were used to assess the association between the dependent variable and independent variables. Variables with P value less than 0.05 were considered as statistically significant. Results:A total of 400 pregnant women were interviewed. The magnitude of antenatal depression was 16.3% (95% CI (12.8%, 19.9%)). Husband's educational status, at the college and above (AOR: 0.09; 95% CI (0.03, 0.34), regular exercise (AOR: 0.16; 95% CI (0.07, 0.36)), planned pregnancy (AOR: 0.16; 95% CI (0.06, 0.44)), use of family planning (AOR: 0.31; 95% CI (0.14, 0.66)), previous history of anxiety (AOR: 2.96; 95% CI (1.30, 6.74)), previous history of obstetric complications (AOR: 19.03; 95% CI (5.89, 61.47)), and current obstetric complications (AOR: 30.38; 95% CI (3.14, 294.19)) were significant predictors of antenatal depression. Conclusion:Nearly one in six pregnant women had antenatal depression. The husband's educational status, regular exercise, planned pregnancy, use of family planning, previous history of anxiety, previous history of obstetric complications, and current history of obstetric complications were significant predictors of antenatal depression. Screening for depression during routine antenatal care could be essential and recommended to identify early and prevent further morbidities and mortalities due to antenatal depression.

Project description:BackgroundApproximately one-third of pregnant and postnatal women in Ethiopia experience depression posing a substantial health burden for these women and their families. Although associations between postnatal depression and worse infant health have been observed, there have been no studies to date assessing the causal effects of perinatal depression on infant health in Ethiopia. We applied longitudinal data and recently developed causal inference methods that reduce the risk of bias to estimate associations between perinatal depression and infant diarrhea, Acute Respiratory Infection (ARI), and malnutrition in Gondar Town, Ethiopia.MethodsA cohort of 866 mother-infant dyads were followed from infant birth for 6 months and the cumulative incidence of ARI, diarrhea, and malnutrition were assessed. The Edinburgh Postnatal Depression Scale (EPDS) was used to assess the presence of maternal depression, the Integrated Management of Newborn and Childhood Illnesses (IMNCI) guidelines were used to identify infant ARI and diarrhea, and the mid upper arm circumference (MUAC) was used to identify infant malnutrition. The risk difference (RD) due to maternal depression for each outcome was estimated using targeted maximum likelihood estimation (TMLE), a doubly robust causal inference method used to reduce bias in observational studies.ResultsThe cumulative incidence of diarrhea, ARI and malnutrition during 6-month follow-up was 17.0% (95%CI: 14.5, 19.6), 21.6% (95%CI: 18.89, 24.49), and 14.4% (95%CI: 12.2, 16.9), respectively. There was no association between antenatal depression and ARI (RD = - 1.3%; 95%CI: - 21.0, 18.5), diarrhea (RD = 0.8%; 95%CI: - 9.2, 10.9), or malnutrition (RD = -7.3%; 95%CI: - 22.0, 21.8). Similarly, postnatal depression was not associated with diarrhea (RD = -2.4%; 95%CI: - 9.6, 4.9), ARI (RD = - 3.2%; 95%CI: - 12.4, 5.9), or malnutrition (RD = 0.9%; 95%CI: - 7.6, 9.5).ConclusionThere was no evidence for an association between perinatal depression and the risk of infant diarrhea, ARI, and malnutrition amongst women in Gondar Town. Previous reports suggesting increased risks resulting from maternal depression may be due to unobserved confounding.

Project description:BackgroundAlcohol use during pregnancy has a potential negative impact on the health of women and children. Binge or hazardous drinking may do greater alcohol-related damage to the developing fetus than drinking a comparable amount spread over several days or weeks. This study aimed to identify determinants of hazardous alcohol use among pregnant women attending antenatal care at Gondar town public health facilities, Northwest Ethiopia.MethodsAn unmatched facility-based nested case-control study was carried out to identify the determinants of hazardous alcohol use among pregnant women within a prospective cohort study from 29 October 2019 to 7 May 2020. A two-stage random sampling technique was used to select 455 (113 cases and 342 controls) pregnant women. Data collection was performed using the AUDIT-C standardized and pretested questionnaire. Bivariable and multivariable logistic regression analyses were computed to identify the predictors of alcohol consumption using the odds ratio, 95% CI, and p-value < 0.05.ResultsMultivariable logistic regression model revealed that no formal education of the husbands [AOR = 2.79; 95%CI: 1.24, 6.29], being housewife[AOR = 2.43; 95%CI: 1.12, 5.26], poor household wealth index[AOR = 2.65; 95%CI: 1.07, 6.54], unplanned pregnancy [AOR = 4.36;95%CI: 2.44, 7.79], poor social support [AOR = 4.9;95%CI: 2.4, 10.04], depression[AOR = 3.84;95%CI: 2.16, 6.82], and not ever heard the risk of alcohol drinking during pregnancy [AOR = 1.97; 95%CI: 1.08, 3.58] were significantly associated with hazardous alcohol use.ConclusionsRoutine alcohol screening during ANC visits creates an appropriate referral system for clinical management and provides an opportunity for healthcare workers to offer information on the potential risks associated with alcohol use in pregnancy. Antenatal care providers have a special role to play in assuring that women receive adequate advice about alcohol use and care to manage the problems especially for pregnant women with depression, poor social support, unplanned pregnancy, low socioeconomic status, and for housewives during the antenatal visits. The warning marks on alcoholic beverages including an ongoing message about the risks of alcohol use during pregnancy could be public health good strategies to minimize preventable harms attributed to alcohol consumption during pregnancy.

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

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

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