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Prevalence and its correlates of anxiety disorders from India’s National Mental Health Survey 2016

INTRODUCTION: Anxiety disorders (ADs) impact the quality of life and productivity at an individual level and result in substantial loss of national income. Representative epidemiological studies estimating the burden of ADs are limited in India. National Mental Health Survey (NMHS) 2016 of India aim...

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Autores principales: Manjunatha, Narayana, Jayasankar, Pavithra, Suhas, Satish, Rao, Girish N., Gopalkrishna, Gururaj, Varghese, Mathew, Benegal, Vivek
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9045348/
https://www.ncbi.nlm.nih.gov/pubmed/35494323
http://dx.doi.org/10.4103/indianjpsychiatry.indianjpsychiatry_964_21
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author Manjunatha, Narayana
Jayasankar, Pavithra
Suhas, Satish
Rao, Girish N.
Gopalkrishna, Gururaj
Varghese, Mathew
Benegal, Vivek
author_facet Manjunatha, Narayana
Jayasankar, Pavithra
Suhas, Satish
Rao, Girish N.
Gopalkrishna, Gururaj
Varghese, Mathew
Benegal, Vivek
author_sort Manjunatha, Narayana
collection PubMed
description INTRODUCTION: Anxiety disorders (ADs) impact the quality of life and productivity at an individual level and result in substantial loss of national income. Representative epidemiological studies estimating the burden of ADs are limited in India. National Mental Health Survey (NMHS) 2016 of India aimed to strengthen mental health services across India assessed the prevalence and pattern of public health priority mental disorders for mental health-care policy and implementation. This article focuses on the current prevalence, sociodemographic correlates, disability, and treatment gap in ADs in the adult population of NMHS 2016. MATERIALS AND METHODS: NMHS 2016 was a nationally representative, multicentered study across 12 Indian states during 2014–2016. Diagnosis of ADs (generalized AD, panic disorder, agoraphobia, and social AD) was based on Mini-International Neuropsychiatric Interview 6.0.0. Disability was by Sheehan’s Disability Scale. RESULTS: The current weighted prevalence of ADs was 2.57% (95% confidence interval: 2.54–2.60). Risk factors identified were female gender, 40–59 age group, and urban metro dwellers. Around 60% suffered from the disability of varying severity. The overall treatment gap for ADs was 82.9%. CONCLUSIONS: The burden of AD is similar to Depressive disorders, and this article calls for the immediate attention of policymakers to institute effective management plans in existing public health programs.
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spelling pubmed-90453482022-04-28 Prevalence and its correlates of anxiety disorders from India’s National Mental Health Survey 2016 Manjunatha, Narayana Jayasankar, Pavithra Suhas, Satish Rao, Girish N. Gopalkrishna, Gururaj Varghese, Mathew Benegal, Vivek Indian J Psychiatry Original Article INTRODUCTION: Anxiety disorders (ADs) impact the quality of life and productivity at an individual level and result in substantial loss of national income. Representative epidemiological studies estimating the burden of ADs are limited in India. National Mental Health Survey (NMHS) 2016 of India aimed to strengthen mental health services across India assessed the prevalence and pattern of public health priority mental disorders for mental health-care policy and implementation. This article focuses on the current prevalence, sociodemographic correlates, disability, and treatment gap in ADs in the adult population of NMHS 2016. MATERIALS AND METHODS: NMHS 2016 was a nationally representative, multicentered study across 12 Indian states during 2014–2016. Diagnosis of ADs (generalized AD, panic disorder, agoraphobia, and social AD) was based on Mini-International Neuropsychiatric Interview 6.0.0. Disability was by Sheehan’s Disability Scale. RESULTS: The current weighted prevalence of ADs was 2.57% (95% confidence interval: 2.54–2.60). Risk factors identified were female gender, 40–59 age group, and urban metro dwellers. Around 60% suffered from the disability of varying severity. The overall treatment gap for ADs was 82.9%. CONCLUSIONS: The burden of AD is similar to Depressive disorders, and this article calls for the immediate attention of policymakers to institute effective management plans in existing public health programs. Wolters Kluwer - Medknow 2022 2022-03-24 /pmc/articles/PMC9045348/ /pubmed/35494323 http://dx.doi.org/10.4103/indianjpsychiatry.indianjpsychiatry_964_21 Text en Copyright: © 2022 Indian Journal of Psychiatry https://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
Manjunatha, Narayana
Jayasankar, Pavithra
Suhas, Satish
Rao, Girish N.
Gopalkrishna, Gururaj
Varghese, Mathew
Benegal, Vivek
Prevalence and its correlates of anxiety disorders from India’s National Mental Health Survey 2016
title Prevalence and its correlates of anxiety disorders from India’s National Mental Health Survey 2016
title_full Prevalence and its correlates of anxiety disorders from India’s National Mental Health Survey 2016
title_fullStr Prevalence and its correlates of anxiety disorders from India’s National Mental Health Survey 2016
title_full_unstemmed Prevalence and its correlates of anxiety disorders from India’s National Mental Health Survey 2016
title_short Prevalence and its correlates of anxiety disorders from India’s National Mental Health Survey 2016
title_sort prevalence and its correlates of anxiety disorders from india’s national mental health survey 2016
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9045348/
https://www.ncbi.nlm.nih.gov/pubmed/35494323
http://dx.doi.org/10.4103/indianjpsychiatry.indianjpsychiatry_964_21
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