Evidence map›Paper›PMID 38298878›Full record

ArticleIndian journal of psychiatry2023

Current prevalence and determinants of generalized anxiety disorder from a nationally representative, population-based survey of India.

Pavithra Jayasankar, Satish Suhas, Lakshmi P Nirisha, Sharad Philip, Narayana Manjunatha, Girish N Rao, Gopalkrishna Gururaj, Mathew Varghese, Vivek Benegal, NMHS National Collaborators Group

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Article in Indian journal of psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.2field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 7 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 1 country.

Pavithra JayasankarDepartment of Psychiatry, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India.
Satish SuhasDepartment of Psychiatry, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India.
Lakshmi P NirishaDepartment of Psychiatry, All India Institute of Medical Sciences, Raipur, Chhattisgarh, India.
Sharad PhilipDepartment of Psychiatry, All India Institute of Medical Sciences, Guwahati, Assam, India.
Narayana ManjunathaDepartment of Psychiatry, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India.
Girish N RaoDepartment of Epidemiology, Centre for Public Health, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India.
Gopalkrishna GururajDepartment of Epidemiology, Centre for Public Health, WHO Collaborative Centre for Injury Prevention and Safety Promotion, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India.
Mathew VargheseDepartment of Psychiatry, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India.
Vivek BenegalDepartment of Psychiatry, Centre for Addiction Medicine, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India.
NMHS National Collaborators Group
National Institute of Mental Health and Neurosciences · INAll India Institute of Medical Sciences GuwahatiAll India Institute of Medical Sciences Raipur · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Generalized anxiety disorder (GAD) is one of the common anxiety disorders leading to impairment and burden. However, GAD remains the least studied anxiety disorder. There is a need for nationally representative epidemiological data of GAD to understand the current burden and plan the mental health policies and programs to attain their unmet needs. Hence, this study focuses on epidemiology, socio-demographic correlates, disability, and treatment gap of GAD from India's National Mental Health Survey (NMHS) 2016. Materials and Methods: NMHS 2016 was a nationally representative epidemiological survey of adult respondents from 12 states of India. NMHS is a multi-stage, stratified, random cluster sampling with random selection based on probability proportional to size at each stage. The Mini-International Neuropsychiatric Interview 6.0.0 used to diagnose psychiatric disorders. Sheehan disability scale was used to assess the disability. The current weighted prevalence of GAD was estimated. Association between GAD and socio-demographic factors was done using Firth's penalized logistic regression. The treatment gap and disability in GAD also calculated. Results: The current weighted prevalence of GAD is 0.57%. The male gender and higher education groups have significantly lesser odds with current GAD. Urban metro and the married group have significantly higher odds with current GAD. The most common comorbid psychiatric disorders are depression (15.8%) followed by agoraphobia (9.4%). Among respondents with current GAD in the past 6 months across three domains, around 2/5 Conclusion: NMHS 2016 has provided valuable insights into the epidemiology and burden of GAD among the general population. The available findings provide a glimpse of the current scenario in GAD to aid policymakers in targeting interventions.

Indexed as

Epidemiologygeneralized anxiety disorderIndiaNational Mental Health Survey

Identifiers

PMID38298878
PMCPMC10826860
OpenAlexW4389476135

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.