Abstract

Background: Despite prenatal depression being a public health burden and the major predictor of postnatal depression, it has not received as much attention as postnatal depression in research and policy globally. There is limited evidence on the factors associated with prenatal depression and therefore understanding these factors will inform the design of specific interventions and formulation of guidelines for the effective prevention and control of prenatal depression particularly in high-risk regions. Methods: A hospital-based case control study design was used to identify the determinants of prenatal depression among 170 women attending an antenatal clinic. Prenatal depression was assessed using the Edinburgh Postnatal Depression Scale (EPDS). A semi-structured questionnaire was administered to collect data on the socio-demographic, social network and family, lifestyle and obstetric characteristics of the participants. All eligible cases were enrolled into the study while a simple random sample of depression-free women attending the antenatal clinic were enrolled as controls. The relationship between the predictors and prenatal depression was evaluated by logistic regression. Results: In the multivariable analysis, only marital status (adjusted odds ratio (aOR)=17.1; 95% confidence interval (CI):4.0-73.0), occupation (aOR=2.4; 95% CI:1.4-4.2), domestic violence (aOR=18.3; 95% CI: 5.7-58.7) and social support (aOR=0.2; 95% CI:0.05-0.8) were identified as significant determinants of prenatal depression. Conclusion: Marital status, occupation, domestic violence and lack of social support were the major predictors of prenatal depression in this setting. There is therefore need to implement screening for prenatal depression among pregnant women in health facilities as part of the routine antenatal care package, establish social support networks and spaces to provide an avenue for the prenatally depressed women to meet, share challenges and coping mechanisms and revise the government policy on sexual and gender based violence (SGBV) so as to strengthen efforts towards elimination of all forms of SGBV.

Highlights

  • The prevalence of depression in women is about 20% with pregnancy increasing the susceptibility to depression1

  • The study was conducted at the Coast Provincial General Hospital (CPGH) which is a level five public health facility located in Mombasa County, Kenya

  • Results of regression analyses Of the factors assessed, only age, marital status, occupation, alcohol and substance abuse, unplanned pregnancy, gestational age, social support and domestic violence were associated with prenatal depression at P≤0.2. (Table 3)

Read more

Summary

Introduction

The prevalence of depression in women is about 20% with pregnancy increasing the susceptibility to depression. Despite prenatal depression being a significant health problem, regrettably, it has received less attention than postpartum depression. Despite prenatal depression being a significant health problem, regrettably, it has received less attention than postpartum depression4–6 This is partly attributable to misconceptions about existing socio-cultural structures that could shield one from mental disturbance during this period. Methods: A hospital-based case control study design was used to identify the determinants of prenatal depression among 170 women attending an antenatal clinic. Results: In the multivariable analysis, only marital status (adjusted odds ratio (aOR)=17.1; 95% confidence interval (CI):4.0-73.0), occupation (aOR=2.4; 95% CI:1.4-4.2), domestic violence (aOR=18.3; 95% CI: 5.7-58.7) and social support (aOR=0.2; 95% CI:0.05-0.8) were identified as significant determinants of prenatal depression. Conclusion: Marital status, occupation, domestic violence and lack of social support were the major predictors of prenatal depression in this setting. There is need to implement screening for prenatal depression among pregnant women in health facilities as part of the routine antenatal care package, establish social support networks and version 2 (revision)

Objectives
Methods
Results
Discussion
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call