Front Public Health. 2018 May 02;6:127. doi: 10.3389/fpubh.2018.00127. eCollection 2018.
Sociodemographic and Medical Risk Factors Associated With Antepartum Depression.
Frontiers in public health
Giridhara R Babu, G V S Murthy, Neeru Singh, Anita Nath, Mohanbabu Rathnaiah, Nolita Saldanha, R Deepa, Sanjay Kinra
Affiliations
Affiliations
- Indian Institute of Public Health (IIPH) Bangalore, Public Health Foundation of India and Wellcome Trust-DBT India Alliance, Bangalore, India.
- Indian Institute of Public Health, Public Health Foundation of India, Madhapur, Hyderabad, India.
- International Centre for Eye Health, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom.
- IIPH Bangalore, Public Health Foundation of India, Bangalore, India.
- Psychiatry, Institute of Mental Health, University of Nottingham, Nottingham, United Kingdom.
- Clinical Epidemiology, London School of Hygiene and Tropical Medicine and University College London Hospital, London, United Kingdom.
PMID: 29770322
PMCID: PMC5941824 DOI: 10.3389/fpubh.2018.00127
Abstract
BACKGROUND: The increasing recognition of antenatal depression is an emerging area of concern in developing countries. We conducted a study to estimate the prevalence of antenatal mental distress and its relation with sociodemographic factors, obstetric factors, and physiological wellbeing in pregnant women attending public health facilities in Bengaluru, South India.
METHODS: Nested within a cohort study, we assessed the mental status in 823 pregnant women in two public referral hospitals. Kessler Psychological Distress Scale (K-10 scale) was used to assess maternal depression. We collected information related to social-demographic characteristics and recent medical complaints. Descriptive statistics and odds ratios were calculated using SPSS version 20.
RESULTS: Results show that 8.7% of the women exhibited symptoms of antenatal depression. Sociodemographic characteristics, such as respondent occupation, husband education, husband's occupation, total family income showed significance. First time pregnancy, anemia, and high blood pressure were also associated with mental distress.
CONCLUSION: Our study has demonstrated feasibility of screening for mental health problems in public hospitals. Early detection of mental distress during pregnancy is crucial as it has a direct impact on the fetus. The public health facilities in low- and middle-income countries such as India should consider piloting and scaling up screening services for mental health conditions for pregnant women.
Keywords: antenatal; cohort; mental distress; pregnancy; public hospital; stress
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