Open AccessExplanatory Models of Depression in a Rural Community of Coastal Karnataka, India: A Cross-Sectional Survey
Author(s) -
Sameeksha Hegde,
Ravichandra Karkal
Publication year - 2021
Publication title -
indian journal of psychological medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.417
H-Index - 24
eISSN - 0975-1564
pISSN - 0253-7176
DOI - 10.1177/02537176211051001
Subject(s) - explanatory model , vignette , mental illness , mental health , cross sectional study , depression (economics) , socioeconomic status , psychiatry , psychology , public health , clinical psychology , medicine , social psychology , population , environmental health , philosophy , nursing , epistemology , pathology , economics , macroeconomics
Background: Depression is a major public health problem but there is a huge treatment gap in India. Cultural beliefs influence conception of illness, personal meaning, help-seeking behaviors, and adherence to treatment. Research on explanatory models of depression attempt to explore these unique characteristics in an individual and the community. We set out to examine explanatory models of depression in a rural community of coastal Karnataka and explore the association between sociodemographic variables and explanatory models of depression.Methods: A cross-sectional household survey in the rural community of Harekala village, Mangaluru taluk, Dakshina Kannada district, Karnataka, was done using Kish tables. A total of 200 individuals were interviewed with an adaptation of the Short Explanatory Model Interview in a local language using a case vignette of depression.Results: Around 40% of the individuals perceived the problem as tension/stress/excessive worrying and did not perceive it as mental illness. A scant 10% of the participants recognized some mental illness. Around one-fifth of the individuals attributed the problem to evil spirits and black magic; female participants were more likely to endorse consulting a doctor (P = 0.003**) or a psychiatrist (P = 0.012*). In addition, participants belonging to Islam were less likely to consult a doctor (P = 0.028*) and psychiatrist (P = 0.021*). Also, participants belonging to lower social class were less likely to endorse psychiatric consultation (P = 0.018*)Conclusions: A vast majority of the study subjects failed to identify depression as an illness or acknowledge biomedical causation. Gender, religion, and socioeconomic class may influence help-seeking behavior.