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Prevalence and socioeconomic impact of depressive disorders in India: multisite population-based cross-sectional study

B. Arvind, G. Gururaj, S. Loganathan, S. Amudhan, M. Varghese, V. Benegal, G. Rao, Arun M. Kokane et al.

BMJ Open, 2019

4,244 participants · 144 citations

Abstract

Objectives The National Mental Health Survey (NMHS) of India was undertaken with the objectives of (1) estimating the prevalence and patterns of various mental disorders in representative Indian population and (2) identifying the treatment gap, healthcare utilisation, disabilities and impact of mental disorders. This paper highlights findings pertaining to depressive disorders (DD) from the NMHS. Design Multisite population-based cross-sectional study. Subjects were selected by multistage stratified random cluster sampling technique with random selection based on probability proportionate to size at each stage. Setting Conducted across 12 states in India (representing varied cultural and geographical diversity), employing uniform, standardised and robust methodology. Participants A total of 34 802 adults (>18 years) were interviewed. Main outcome measure Prevalence of depressive disorders (ICD-10 DCR) diagnosed using Mini International Neuropsychiatric Interview V.6.0. Results The weighted prevalence of lifetime and current DD was 5.25% (95% CI: 5.21% to 5.29%, n=34 802) and 2.68% (95% CI: 2.65% to 2.71%, n=34 802), respectively. Prevalence was highest in the 40–59 age groups (3.6%, n=10 302), among females (3.0%, n=18 217) and those residing in cities with population >1 million (5.2%, n=4244). Age, gender, place of residence, education and household income were found to be significantly associated with current DD. Nearly two-thirds of individuals with DD reported disability…

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