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

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 men...

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Autores principales: Arvind, Banavaram Anniappan, Gururaj, Gopalkrishna, Loganathan, Santosh, Amudhan, Senthil, Varghese, Mathew, Benegal, Vivek, Rao, Girish N, Kokane, Arun Mahadeo, B S, Chavan, P K, Dalal, Ram, Daya, Pathak, Kangkan, R K, Lenin Singh, Singh, Lokesh Kumar, Sharma, Pradeep, Saha, Pradeep Kumar, C, Ramasubramanian, Mehta, Ritambhara Y, T M, Shibukumar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6609075/
https://www.ncbi.nlm.nih.gov/pubmed/31253618
http://dx.doi.org/10.1136/bmjopen-2018-027250
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author Arvind, Banavaram Anniappan
Gururaj, Gopalkrishna
Loganathan, Santosh
Amudhan, Senthil
Varghese, Mathew
Benegal, Vivek
Rao, Girish N
Kokane, Arun Mahadeo
B S, Chavan
P K, Dalal
Ram, Daya
Pathak, Kangkan
R K, Lenin Singh
Singh, Lokesh Kumar
Sharma, Pradeep
Saha, Pradeep Kumar
C, Ramasubramanian
Mehta, Ritambhara Y
T M, Shibukumar
author_facet Arvind, Banavaram Anniappan
Gururaj, Gopalkrishna
Loganathan, Santosh
Amudhan, Senthil
Varghese, Mathew
Benegal, Vivek
Rao, Girish N
Kokane, Arun Mahadeo
B S, Chavan
P K, Dalal
Ram, Daya
Pathak, Kangkan
R K, Lenin Singh
Singh, Lokesh Kumar
Sharma, Pradeep
Saha, Pradeep Kumar
C, Ramasubramanian
Mehta, Ritambhara Y
T M, Shibukumar
author_sort Arvind, Banavaram Anniappan
collection PubMed
description 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 of varying severity, and the treatment gap for depression in the study population was 79.1%. On an average, households spent INR1500/month (~US$ 23.0/month) towards care of persons affected with DD. CONCLUSION: Around 23 million adults would need care for DD in India at any given time. Since productive population is affected most, DD entails considerable socioeconomic impact at individual and family levels. This is a clarion call for all the concerned stakeholders to scale up services under National Mental Health Programme in India along with integrating care for DD with other ongoing national health programmes.
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spelling pubmed-66090752019-07-19 Prevalence and socioeconomic impact of depressive disorders in India: multisite population-based cross-sectional study Arvind, Banavaram Anniappan Gururaj, Gopalkrishna Loganathan, Santosh Amudhan, Senthil Varghese, Mathew Benegal, Vivek Rao, Girish N Kokane, Arun Mahadeo B S, Chavan P K, Dalal Ram, Daya Pathak, Kangkan R K, Lenin Singh Singh, Lokesh Kumar Sharma, Pradeep Saha, Pradeep Kumar C, Ramasubramanian Mehta, Ritambhara Y T M, Shibukumar BMJ Open Mental Health 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 of varying severity, and the treatment gap for depression in the study population was 79.1%. On an average, households spent INR1500/month (~US$ 23.0/month) towards care of persons affected with DD. CONCLUSION: Around 23 million adults would need care for DD in India at any given time. Since productive population is affected most, DD entails considerable socioeconomic impact at individual and family levels. This is a clarion call for all the concerned stakeholders to scale up services under National Mental Health Programme in India along with integrating care for DD with other ongoing national health programmes. BMJ Publishing Group 2019-06-27 /pmc/articles/PMC6609075/ /pubmed/31253618 http://dx.doi.org/10.1136/bmjopen-2018-027250 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. 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, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Mental Health
Arvind, Banavaram Anniappan
Gururaj, Gopalkrishna
Loganathan, Santosh
Amudhan, Senthil
Varghese, Mathew
Benegal, Vivek
Rao, Girish N
Kokane, Arun Mahadeo
B S, Chavan
P K, Dalal
Ram, Daya
Pathak, Kangkan
R K, Lenin Singh
Singh, Lokesh Kumar
Sharma, Pradeep
Saha, Pradeep Kumar
C, Ramasubramanian
Mehta, Ritambhara Y
T M, Shibukumar
Prevalence and socioeconomic impact of depressive disorders in India: multisite population-based cross-sectional study
title Prevalence and socioeconomic impact of depressive disorders in India: multisite population-based cross-sectional study
title_full Prevalence and socioeconomic impact of depressive disorders in India: multisite population-based cross-sectional study
title_fullStr Prevalence and socioeconomic impact of depressive disorders in India: multisite population-based cross-sectional study
title_full_unstemmed Prevalence and socioeconomic impact of depressive disorders in India: multisite population-based cross-sectional study
title_short Prevalence and socioeconomic impact of depressive disorders in India: multisite population-based cross-sectional study
title_sort prevalence and socioeconomic impact of depressive disorders in india: multisite population-based cross-sectional study
topic Mental Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6609075/
https://www.ncbi.nlm.nih.gov/pubmed/31253618
http://dx.doi.org/10.1136/bmjopen-2018-027250
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