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Cross-sectional study of depression and help-seeking in Uttarakhand, North India
OBJECTIVES: This study sought to use a population-based cross-sectional survey to describe depression prevalence, healthcare seeking and associations with socioeconomic determinants in a district in North India. SETTING: This study was conducted in Sahaspur and Raipur, administrative blocks of Dehra...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4663438/ https://www.ncbi.nlm.nih.gov/pubmed/26589428 http://dx.doi.org/10.1136/bmjopen-2015-008992 |
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author | Mathias, Kaaren Goicolea, Isabel Kermode, Michelle Singh, Lawrence Shidhaye, Rahul Sebastian, Miguel San |
author_facet | Mathias, Kaaren Goicolea, Isabel Kermode, Michelle Singh, Lawrence Shidhaye, Rahul Sebastian, Miguel San |
author_sort | Mathias, Kaaren |
collection | PubMed |
description | OBJECTIVES: This study sought to use a population-based cross-sectional survey to describe depression prevalence, healthcare seeking and associations with socioeconomic determinants in a district in North India. SETTING: This study was conducted in Sahaspur and Raipur, administrative blocks of Dehradun district, Uttarakhand, in July 2014. PARTICIPANTS: A population-based sample of 960 people over the age of 18 years was selected in 30 randomised clusters after being stratified by rural:urban census ratios. PRIMARY OUTCOME MEASURES: The survey used a validated screening tool, Patient Health Questionnaire, to identify people with depression, and collected information regarding socioeconomic variables and help-seeking behaviours. Depression prevalence and health seeking behaviours were calculated, and multivariable logistic regression was used to assess associations between risk factors and depression. RESULTS: Prevalence of depression was 6% (58/960), with a further 3.9% (37/960) describing a depressive episode of over 2 weeks in the past 12 months. Statistically significant adjusted OR for depression of more than 2 were found for people who were illiterate, classified as Scheduled Caste/Tribe or Other Backward Castes, living in temporary material housing and who had recently taken a loan. While over three quarters of people with depression (79%) had attended a private or government general medical practitioner in the past 3 months, none had received talking therapy (100% treatment gap) and two people (3.3%) had been prescribed antidepressants. CONCLUSIONS: There are clear associations between social, educational and economic disadvantage and depression in this population. Strategies that address the social determinants of depression, such as education, social exclusion, financial protection and affordable housing for all are indicated. To address the large treatment gap in Uttarakhand, we must ensure access to primary and secondary mental health providers who can recognise and appropriately manage depression. |
format | Online Article Text |
id | pubmed-4663438 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-46634382015-12-03 Cross-sectional study of depression and help-seeking in Uttarakhand, North India Mathias, Kaaren Goicolea, Isabel Kermode, Michelle Singh, Lawrence Shidhaye, Rahul Sebastian, Miguel San BMJ Open Global Health OBJECTIVES: This study sought to use a population-based cross-sectional survey to describe depression prevalence, healthcare seeking and associations with socioeconomic determinants in a district in North India. SETTING: This study was conducted in Sahaspur and Raipur, administrative blocks of Dehradun district, Uttarakhand, in July 2014. PARTICIPANTS: A population-based sample of 960 people over the age of 18 years was selected in 30 randomised clusters after being stratified by rural:urban census ratios. PRIMARY OUTCOME MEASURES: The survey used a validated screening tool, Patient Health Questionnaire, to identify people with depression, and collected information regarding socioeconomic variables and help-seeking behaviours. Depression prevalence and health seeking behaviours were calculated, and multivariable logistic regression was used to assess associations between risk factors and depression. RESULTS: Prevalence of depression was 6% (58/960), with a further 3.9% (37/960) describing a depressive episode of over 2 weeks in the past 12 months. Statistically significant adjusted OR for depression of more than 2 were found for people who were illiterate, classified as Scheduled Caste/Tribe or Other Backward Castes, living in temporary material housing and who had recently taken a loan. While over three quarters of people with depression (79%) had attended a private or government general medical practitioner in the past 3 months, none had received talking therapy (100% treatment gap) and two people (3.3%) had been prescribed antidepressants. CONCLUSIONS: There are clear associations between social, educational and economic disadvantage and depression in this population. Strategies that address the social determinants of depression, such as education, social exclusion, financial protection and affordable housing for all are indicated. To address the large treatment gap in Uttarakhand, we must ensure access to primary and secondary mental health providers who can recognise and appropriately manage depression. BMJ Publishing Group 2015-11-20 /pmc/articles/PMC4663438/ /pubmed/26589428 http://dx.doi.org/10.1136/bmjopen-2015-008992 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/ This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ |
spellingShingle | Global Health Mathias, Kaaren Goicolea, Isabel Kermode, Michelle Singh, Lawrence Shidhaye, Rahul Sebastian, Miguel San Cross-sectional study of depression and help-seeking in Uttarakhand, North India |
title | Cross-sectional study of depression and help-seeking in Uttarakhand, North India |
title_full | Cross-sectional study of depression and help-seeking in Uttarakhand, North India |
title_fullStr | Cross-sectional study of depression and help-seeking in Uttarakhand, North India |
title_full_unstemmed | Cross-sectional study of depression and help-seeking in Uttarakhand, North India |
title_short | Cross-sectional study of depression and help-seeking in Uttarakhand, North India |
title_sort | cross-sectional study of depression and help-seeking in uttarakhand, north india |
topic | Global Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4663438/ https://www.ncbi.nlm.nih.gov/pubmed/26589428 http://dx.doi.org/10.1136/bmjopen-2015-008992 |
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