Schizophrenia spectrum disorders in India: A population-based study
Introduction: Schizophrenia spectrum disorders represent a significant global health concern, contributing significantly to the global burden of disease. The National Mental Health Survey (NMHS) of India, conducted between 2015 and 2016, investigated the prevalence and epidemiological correlates of...
Saved in:
Main Authors: | , , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Wolters Kluwer Medknow Publications
2023-12-01
|
Series: | Indian Journal of Psychiatry |
Subjects: | |
Online Access: | https://journals.lww.com/10.4103/indianjpsychiatry.indianjpsychiatry_836_23 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
_version_ | 1832586162783387648 |
---|---|
author | Prakyath Ravindranath Hegde Lakshmi P. Nirisha Chethan Basavarajappa Satish Suhas Channaveerachari Naveen Kumar Vivek Benegal Girish N. Rao Mathew Varghese Gopalkrishna Gururaj NMHS National Collaborators Group |
author_facet | Prakyath Ravindranath Hegde Lakshmi P. Nirisha Chethan Basavarajappa Satish Suhas Channaveerachari Naveen Kumar Vivek Benegal Girish N. Rao Mathew Varghese Gopalkrishna Gururaj NMHS National Collaborators Group |
author_sort | Prakyath Ravindranath Hegde |
collection | DOAJ |
description | Introduction:
Schizophrenia spectrum disorders represent a significant global health concern, contributing significantly to the global burden of disease. The National Mental Health Survey (NMHS) of India, conducted between 2015 and 2016, investigated the prevalence and epidemiological correlates of schizophrenia spectrum disorders in India.
Materials and Methods:
The NMHS conducted a population-based cross-sectional study in 12 Indian states from 2015 to 2016, encompassing 34,802 adults. The overall study design of the NMHS was a multistage, stratified, random cluster sampling technique, incorporating random selection based on probability proportion to size at each stage. The Mini-International Neuropsychiatric Interview 6.0 was used for psychiatric diagnoses, disability was assessed using Sheehan's disability scale, and the illness-related socioeconomic impact was assessed using a questionnaire based on the World Health Organization Disability Assessment Schedule 2.0. Firth penalized logistic regression was employed to understand the correlates of current schizophrenia spectrum disorder.
Results:
The study found a lifetime prevalence of schizophrenia spectrum disorders at 1.41%, with a current prevalence of 0.42%. A substantial treatment gap of 72% existed for current cases, rising to 83.3% in urban non-metro areas. The penalized logistic regression revealed that the age group category of 30–49 years, unemployed status, and lower education level had higher odds of association with schizophrenia spectrum disorders.
Conclusion:
The primary finding of this study is a lifetime prevalence of 1.41%, a current prevalence of 0.42%, and a substantial treatment gap of 72%. Addressing this treatment gap and holistic intervention is crucial for reducing the socioeconomic impact of this disorder. Strengthening the National Mental Health Program and implementing community-based rehabilitation are essential first steps in this direction. |
format | Article |
id | doaj-art-dad070f864284e7ea14cacaa73ff5ea1 |
institution | Kabale University |
issn | 0019-5545 1998-3794 |
language | English |
publishDate | 2023-12-01 |
publisher | Wolters Kluwer Medknow Publications |
record_format | Article |
series | Indian Journal of Psychiatry |
spelling | doaj-art-dad070f864284e7ea14cacaa73ff5ea12025-01-26T09:00:23ZengWolters Kluwer Medknow PublicationsIndian Journal of Psychiatry0019-55451998-37942023-12-0165121223122910.4103/indianjpsychiatry.indianjpsychiatry_836_23Schizophrenia spectrum disorders in India: A population-based studyPrakyath Ravindranath HegdeLakshmi P. NirishaChethan BasavarajappaSatish SuhasChannaveerachari Naveen KumarVivek BenegalGirish N. RaoMathew VargheseGopalkrishna GururajNMHS National Collaborators GroupIntroduction: Schizophrenia spectrum disorders represent a significant global health concern, contributing significantly to the global burden of disease. The National Mental Health Survey (NMHS) of India, conducted between 2015 and 2016, investigated the prevalence and epidemiological correlates of schizophrenia spectrum disorders in India. Materials and Methods: The NMHS conducted a population-based cross-sectional study in 12 Indian states from 2015 to 2016, encompassing 34,802 adults. The overall study design of the NMHS was a multistage, stratified, random cluster sampling technique, incorporating random selection based on probability proportion to size at each stage. The Mini-International Neuropsychiatric Interview 6.0 was used for psychiatric diagnoses, disability was assessed using Sheehan's disability scale, and the illness-related socioeconomic impact was assessed using a questionnaire based on the World Health Organization Disability Assessment Schedule 2.0. Firth penalized logistic regression was employed to understand the correlates of current schizophrenia spectrum disorder. Results: The study found a lifetime prevalence of schizophrenia spectrum disorders at 1.41%, with a current prevalence of 0.42%. A substantial treatment gap of 72% existed for current cases, rising to 83.3% in urban non-metro areas. The penalized logistic regression revealed that the age group category of 30–49 years, unemployed status, and lower education level had higher odds of association with schizophrenia spectrum disorders. Conclusion: The primary finding of this study is a lifetime prevalence of 1.41%, a current prevalence of 0.42%, and a substantial treatment gap of 72%. Addressing this treatment gap and holistic intervention is crucial for reducing the socioeconomic impact of this disorder. Strengthening the National Mental Health Program and implementing community-based rehabilitation are essential first steps in this direction.https://journals.lww.com/10.4103/indianjpsychiatry.indianjpsychiatry_836_23disabilityepidemiologyindianational mental health surveyprevalencepsychosisschizophreniatreatment gap |
spellingShingle | Prakyath Ravindranath Hegde Lakshmi P. Nirisha Chethan Basavarajappa Satish Suhas Channaveerachari Naveen Kumar Vivek Benegal Girish N. Rao Mathew Varghese Gopalkrishna Gururaj NMHS National Collaborators Group Schizophrenia spectrum disorders in India: A population-based study Indian Journal of Psychiatry disability epidemiology india national mental health survey prevalence psychosis schizophrenia treatment gap |
title | Schizophrenia spectrum disorders in India: A population-based study |
title_full | Schizophrenia spectrum disorders in India: A population-based study |
title_fullStr | Schizophrenia spectrum disorders in India: A population-based study |
title_full_unstemmed | Schizophrenia spectrum disorders in India: A population-based study |
title_short | Schizophrenia spectrum disorders in India: A population-based study |
title_sort | schizophrenia spectrum disorders in india a population based study |
topic | disability epidemiology india national mental health survey prevalence psychosis schizophrenia treatment gap |
url | https://journals.lww.com/10.4103/indianjpsychiatry.indianjpsychiatry_836_23 |
work_keys_str_mv | AT prakyathravindranathhegde schizophreniaspectrumdisordersinindiaapopulationbasedstudy AT lakshmipnirisha schizophreniaspectrumdisordersinindiaapopulationbasedstudy AT chethanbasavarajappa schizophreniaspectrumdisordersinindiaapopulationbasedstudy AT satishsuhas schizophreniaspectrumdisordersinindiaapopulationbasedstudy AT channaveeracharinaveenkumar schizophreniaspectrumdisordersinindiaapopulationbasedstudy AT vivekbenegal schizophreniaspectrumdisordersinindiaapopulationbasedstudy AT girishnrao schizophreniaspectrumdisordersinindiaapopulationbasedstudy AT mathewvarghese schizophreniaspectrumdisordersinindiaapopulationbasedstudy AT gopalkrishnagururaj schizophreniaspectrumdisordersinindiaapopulationbasedstudy AT nmhsnationalcollaboratorsgroup schizophreniaspectrumdisordersinindiaapopulationbasedstudy |