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Explanatory Models of Depression in a Rural Community of Coastal Karnataka, India: A Cross-Sectional Survey

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 cha...

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Autores principales: Hegde, Sameeksha, Karkal, Ravichandra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9301753/
https://www.ncbi.nlm.nih.gov/pubmed/35949639
http://dx.doi.org/10.1177/02537176211051001
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author Hegde, Sameeksha
Karkal, Ravichandra
author_facet Hegde, Sameeksha
Karkal, Ravichandra
author_sort Hegde, Sameeksha
collection PubMed
description 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.
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spelling pubmed-93017532022-08-09 Explanatory Models of Depression in a Rural Community of Coastal Karnataka, India: A Cross-Sectional Survey Hegde, Sameeksha Karkal, Ravichandra Indian J Psychol Med Original Articles 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. SAGE Publications 2021-12-01 2022-07 /pmc/articles/PMC9301753/ /pubmed/35949639 http://dx.doi.org/10.1177/02537176211051001 Text en © 2022 Indian Psychiatric Society - South Zonal Branch https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Articles
Hegde, Sameeksha
Karkal, Ravichandra
Explanatory Models of Depression in a Rural Community of Coastal Karnataka, India: A Cross-Sectional Survey
title Explanatory Models of Depression in a Rural Community of Coastal Karnataka, India: A Cross-Sectional Survey
title_full Explanatory Models of Depression in a Rural Community of Coastal Karnataka, India: A Cross-Sectional Survey
title_fullStr Explanatory Models of Depression in a Rural Community of Coastal Karnataka, India: A Cross-Sectional Survey
title_full_unstemmed Explanatory Models of Depression in a Rural Community of Coastal Karnataka, India: A Cross-Sectional Survey
title_short Explanatory Models of Depression in a Rural Community of Coastal Karnataka, India: A Cross-Sectional Survey
title_sort explanatory models of depression in a rural community of coastal karnataka, india: a cross-sectional survey
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9301753/
https://www.ncbi.nlm.nih.gov/pubmed/35949639
http://dx.doi.org/10.1177/02537176211051001
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