Agegnehu Bante1, Abera Mersha1, Zerihun Zerdo2, Biresaw Wassihun3, Tomas Yeheyis4. 1. School of Nursing, College of Medicine and Health Sciences, Arba Minch University, Arba Minch, Ethiopia. 2. Department of Medical Laboratory Science, College of Medicine and Health Sciences, Arba Minch University, Arba Minch, Ethiopia. 3. Department of Midwifery, College of Medicine and Health Sciences, Arba Minch University, Arba Minch, Ethiopia. 4. School of Nursing, College of Medicine and Health Sciences, Hawassa University, Hawassa, Ethiopia.
Abstract
INTRODUCTION: Prenatal anxiety and depression are major health problems all over the world. The negative sequela of prenatal comorbid anxiety and depression (CAD) has been suggested to be higher than that of anxiety or depression alone. CAD increases the odds of preterm birth, low birth weight, prolonged labor, operative deliveries, postpartum psychiatric disorders and long term cognitive impairment for the newborn. Despite its significant ill consequences, there is a dearth of studies in low-and middle-income countries. So far, to the best of our knowledge, no study assessed the prevalence of CAD in Ethiopia. Hence, the purpose of this study was to assess CAD and associated factors among pregnant women in Arba Minch Zuria district, Gamo zone, southern Ethiopia. METHODS: A community-based cross-sectional study was conducted among 676 pregnant women from January 01 to November 30, 2019. Patient Health Questionnaire 9-item (PHQ-9) and Generalized Anxiety Disorder 7-item (GAD-7) scales were used to assess depression and anxiety respectively. The data were collected electronically using an open data kit (ODK) collect android application and analyzed using Stata version 15.0. Bivariate and multivariable analyses were carried out to identify factors associated with CAD using binary logistic regression. Statistical significance was set at p-value < 0.05. RESULTS: A total of 667 women were involved. The prevalence of CAD was 10.04% [95% confidence interval (CI): 7.76, 12.33]. Being married [adjusted odds ratio (AOR): 0.16, 95% CI: 0.05, 0.56], categorized in the highest wealth quintile [AOR: 2.83, 95% CI: 1.17, 6.84], having medical illness [AOR: 3.56, 95% CI: 1.68, 7.54], encountering pregnancy danger signs [AOR: 2.66, 95% CI: 1.06, 6.67], experiencing life-threatening events [AOR: 2.11, 95% CI: 1.15, 3.92] and household food insecurity [AOR: 3.51, 95% CI: 1.85, 6.64] were significantly associated with CAD. CONCLUSIONS: In general, one in every ten women faced CAD in the study area. Nutritional interventions, early identification and treatment of pregnancy-related illness and medical ailments, prenatal mental health problems screening and interventions are imperative to minimize the risk of CAD in pregnant women.
INTRODUCTION: Prenatal anxiety and depression are major health problems all over the world. The negative sequela of prenatal comorbid anxiety and depression (CAD) has been suggested to be higher than that of anxiety or depression alone. CAD increases the odds of preterm birth, low birth weight, prolonged labor, operative deliveries, postpartum psychiatric disorders and long term cognitive impairment for the newborn. Despite its significant ill consequences, there is a dearth of studies in low-and middle-income countries. So far, to the best of our knowledge, no study assessed the prevalence of CAD in Ethiopia. Hence, the purpose of this study was to assess CAD and associated factors among pregnant women in Arba Minch Zuria district, Gamo zone, southern Ethiopia. METHODS: A community-based cross-sectional study was conducted among 676 pregnant women from January 01 to November 30, 2019. Patient Health Questionnaire 9-item (PHQ-9) and Generalized Anxiety Disorder 7-item (GAD-7) scales were used to assess depression and anxiety respectively. The data were collected electronically using an open data kit (ODK) collect android application and analyzed using Stata version 15.0. Bivariate and multivariable analyses were carried out to identify factors associated with CAD using binary logistic regression. Statistical significance was set at p-value < 0.05. RESULTS: A total of 667 women were involved. The prevalence of CAD was 10.04% [95% confidence interval (CI): 7.76, 12.33]. Being married [adjusted odds ratio (AOR): 0.16, 95% CI: 0.05, 0.56], categorized in the highest wealth quintile [AOR: 2.83, 95% CI: 1.17, 6.84], having medical illness [AOR: 3.56, 95% CI: 1.68, 7.54], encountering pregnancy danger signs [AOR: 2.66, 95% CI: 1.06, 6.67], experiencing life-threatening events [AOR: 2.11, 95% CI: 1.15, 3.92] and household food insecurity [AOR: 3.51, 95% CI: 1.85, 6.64] were significantly associated with CAD. CONCLUSIONS: In general, one in every ten women faced CAD in the study area. Nutritional interventions, early identification and treatment of pregnancy-related illness and medical ailments, prenatal mental health problems screening and interventions are imperative to minimize the risk of CAD in pregnant women.