» Articles » PMID: 35400745

Epidemiology of Common Mental Disorders: Results from "National Mental Health Survey" of India, 2016

Overview
Specialty Psychiatry
Date 2022 Apr 11
PMID 35400745
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Despite their higher prevalence, the Common Mental Disorders (CMDs) are under-recognized and under-treated resulting in huge disability. India, home to one-fifth of the global population, could offer insights for organizing better services for CMDs. However, the prevalence and resultant disability in the general population is unknown, and consequently, gaps in management or plan for services are enormous, by default overlooked.

Aim: Estimating the current prevalence, disability, socioeconomic impact, and treatment gap of CMDs in a nationally representative sample from India. We attempt to identify the missed opportunities and list priorities for planning.

Methodology: The National Mental Health Survey of India (2016) is a multisite nationwide household survey conducted across India using a uniform methodology. Overall, 39,532 adults were surveyed with a response rate of 88%. Diagnoses are based on the Mini International Neuropsychiatric Interview 6.0.0. CMDs for this analysis include depressive and anxiety disorders (generalized anxiety disorder, social phobia, agoraphobia, panic disorder, obsessive-compulsive disorder, and posttraumatic stress disorder).

Results: The weighted prevalence of current CMDs was 5·1% (95% CI: 5.06-5.13). Prevalence was highest in females, among the 40-59 years of age group, and in metros. Nearly 60% of them reported disabilities of varying severity. The treatment gap was 80·4%. On average, patients and their families spent ₹1500/month towards the treatment of CMDs.

Conclusions: This survey gives valuable insights regarding the disability and treatment gap due to CMDs and is imperative for reframing mental health policies and planning interventions. This study also suggests an international investigation to understand the difference in the prevalence of CMDs in developing versus developed countries.

Citing Articles

Common mental disorders and associated factors among adult patients admitted in non-psychiatric wards of public hospitals in Harari regional State, Eastern Ethiopia.

Assefa H, Ali T, Mussa I, Misgana T, Abdi D, Zewudie A BMC Psychiatry. 2025; 25(1):47.

PMID: 39825313 PMC: 11742786. DOI: 10.1186/s12888-025-06475-2.


Investigating the psychometric properties of pathological concern questionnaire in Indian emerging adults.

Gupta S, Tiwari P Indian J Psychiatry. 2024; 66(10):904-910.

PMID: 39668881 PMC: 11633250. DOI: 10.4103/indianjpsychiatry.indianjpsychiatry_659_23.


A Cross-Sectional Study of Concurrent Validity of the "Indian Disability Evaluation and Assessment Scale" with the "Sheehan Disability Scale" in Patients with Common Mental Disorders.

Kondapura M, Manjunatha N, Nagaraj A, Praharaj S, Kumar C, Math S Indian J Psychol Med. 2024; :02537176241281320.

PMID: 39564321 PMC: 11572470. DOI: 10.1177/02537176241281320.


Development of a Ramayana-based Counseling Module for Persons with Common Mental Health Disorders.

Kurhade C, Jagannathan A, Varambally S, Shivana S, Sudhir P, Gangadhar B Indian J Psychol Med. 2024; :02537176241245073.

PMID: 39564316 PMC: 11572689. DOI: 10.1177/02537176241245073.


The Efficacy and Durability of Mindfulness-Based Cognitive Therapy in the Treatment of Anxiety and Depressive Disorders: A Systematic Review and Meta-analysis.

Nandarathana N, Ranjan J Indian J Psychol Med. 2024; :02537176241249375.

PMID: 39564271 PMC: 11572415. DOI: 10.1177/02537176241249375.


References
1.
Rehm J, Shield K . Global Burden of Disease and the Impact of Mental and Addictive Disorders. Curr Psychiatry Rep. 2019; 21(2):10. DOI: 10.1007/s11920-019-0997-0. View

2.
Patel V, Kleinman A . Poverty and common mental disorders in developing countries. Bull World Health Organ. 2003; 81(8):609-15. PMC: 2572527. View

3.
Kessler R, Chiu W, Demler O, Merikangas K, Walters E . Prevalence, severity, and comorbidity of 12-month DSM-IV disorders in the National Comorbidity Survey Replication. Arch Gen Psychiatry. 2005; 62(6):617-27. PMC: 2847357. DOI: 10.1001/archpsyc.62.6.617. View

4.
Pradeep B, Gururaj G, Varghese M, Benegal V, Rao G, Sukumar G . National Mental Health Survey of India, 2016 - Rationale, design and methods. PLoS One. 2018; 13(10):e0205096. PMC: 6201882. DOI: 10.1371/journal.pone.0205096. View

5.
Gupta S, Sagar R . National Mental Health Programme-Optimism and Caution: A Narrative Review. Indian J Psychol Med. 2018; 40(6):509-516. PMC: 6241184. DOI: 10.4103/IJPSYM.IJPSYM_191_18. View