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Prevalence and correlates of depression in a rural adult population in Northwest India

BACKGROUND: Mental disorders are showing a discerning upward trend globally and it is projected that by 2030, depression would be the leading cause of disease burden globally. Depression has not only confined the developed world but is increasingly seen as a major public health problem in the develo...

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Autores principales: Gupta, Chandini, Arora, Manu, Gupta, Rajiv K., Akhtar, Najma, Langer, Bhavna, Kumari, Rashmi, Sharma, Pawan, Majeed, Mudasir, Raina, Sunil K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7014881/
https://www.ncbi.nlm.nih.gov/pubmed/32110582
http://dx.doi.org/10.4103/jfmpc.jfmpc_656_19
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author Gupta, Chandini
Arora, Manu
Gupta, Rajiv K.
Akhtar, Najma
Langer, Bhavna
Kumari, Rashmi
Sharma, Pawan
Majeed, Mudasir
Raina, Sunil K.
author_facet Gupta, Chandini
Arora, Manu
Gupta, Rajiv K.
Akhtar, Najma
Langer, Bhavna
Kumari, Rashmi
Sharma, Pawan
Majeed, Mudasir
Raina, Sunil K.
author_sort Gupta, Chandini
collection PubMed
description BACKGROUND: Mental disorders are showing a discerning upward trend globally and it is projected that by 2030, depression would be the leading cause of disease burden globally. Depression has not only confined the developed world but is increasingly seen as a major public health problem in the developing world too. METHODS: A stratified two-stage design was used to conduct a house-to-house survey in selected villages among consenting eligible members of the family. A three-part questionnaire, with the first part eliciting sociodemographic information was used. Patient Health Questionnaire (PHQ-9), the second part of the questionnaire was used to screen those positive for depression and Beck's Depression Inventory (BDI-II). The third part was used for rating the depression. Data thus collected was analyzed and Chi-square test was used as test of significance. RESULTS: The prevalence of depression was found to be 8.94% (73/816). Beck's Depression Inventory (BDI- II) for rating the depression revealed that mild depression was present in nearly half of the cases (47.95%), while 39.7% and 9.5% of the cases had moderate and severe depression, respectively. Among the various variables, literacy level, marital status, alcohol intake, chronic illness, and socioeconomic status were significantly associated with the depression. CONCLUSIONS: Prevalence of depression to the tune of 8.94% in rural adults seems to be a cause of concern for the health planners. Prevention and treatment of depression must be taken on priority and as a challenge by the health professionals.
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spelling pubmed-70148812020-02-27 Prevalence and correlates of depression in a rural adult population in Northwest India Gupta, Chandini Arora, Manu Gupta, Rajiv K. Akhtar, Najma Langer, Bhavna Kumari, Rashmi Sharma, Pawan Majeed, Mudasir Raina, Sunil K. J Family Med Prim Care Original Article BACKGROUND: Mental disorders are showing a discerning upward trend globally and it is projected that by 2030, depression would be the leading cause of disease burden globally. Depression has not only confined the developed world but is increasingly seen as a major public health problem in the developing world too. METHODS: A stratified two-stage design was used to conduct a house-to-house survey in selected villages among consenting eligible members of the family. A three-part questionnaire, with the first part eliciting sociodemographic information was used. Patient Health Questionnaire (PHQ-9), the second part of the questionnaire was used to screen those positive for depression and Beck's Depression Inventory (BDI-II). The third part was used for rating the depression. Data thus collected was analyzed and Chi-square test was used as test of significance. RESULTS: The prevalence of depression was found to be 8.94% (73/816). Beck's Depression Inventory (BDI- II) for rating the depression revealed that mild depression was present in nearly half of the cases (47.95%), while 39.7% and 9.5% of the cases had moderate and severe depression, respectively. Among the various variables, literacy level, marital status, alcohol intake, chronic illness, and socioeconomic status were significantly associated with the depression. CONCLUSIONS: Prevalence of depression to the tune of 8.94% in rural adults seems to be a cause of concern for the health planners. Prevention and treatment of depression must be taken on priority and as a challenge by the health professionals. Wolters Kluwer - Medknow 2020-01-28 /pmc/articles/PMC7014881/ /pubmed/32110582 http://dx.doi.org/10.4103/jfmpc.jfmpc_656_19 Text en Copyright: © 2020 Journal of Family Medicine and Primary Care http://creativecommons.org/licenses/by-nc-sa/4.0 This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
spellingShingle Original Article
Gupta, Chandini
Arora, Manu
Gupta, Rajiv K.
Akhtar, Najma
Langer, Bhavna
Kumari, Rashmi
Sharma, Pawan
Majeed, Mudasir
Raina, Sunil K.
Prevalence and correlates of depression in a rural adult population in Northwest India
title Prevalence and correlates of depression in a rural adult population in Northwest India
title_full Prevalence and correlates of depression in a rural adult population in Northwest India
title_fullStr Prevalence and correlates of depression in a rural adult population in Northwest India
title_full_unstemmed Prevalence and correlates of depression in a rural adult population in Northwest India
title_short Prevalence and correlates of depression in a rural adult population in Northwest India
title_sort prevalence and correlates of depression in a rural adult population in northwest india
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7014881/
https://www.ncbi.nlm.nih.gov/pubmed/32110582
http://dx.doi.org/10.4103/jfmpc.jfmpc_656_19
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