Evidence map›Paper›PMID 38298870›Full record

ArticleIndian journal of psychiatry2023

Bipolar affective disorder in India: A multi-site population-based cross-sectional study.

Bhavika Vajawat, Satish Suhas, Sydney Moirangthem, Channaveerachari Naveen Kumar, Mathew Varghese, Gopalkrishna Gururaj, Vivek Benegal, Girish N Rao, NMHS National Collaborators Group

Open access · diamondAbstract read
In one paragraph

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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

5 citing papers in PubMed, 9 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

9 authors at 1 institution in 1 country.

Bhavika VajawatDepartment 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.
Sydney MoirangthemDepartment of Psychiatry, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India.
Channaveerachari Naveen KumarDepartment of Psychiatry, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India.
Mathew VargheseDepartment of Psychiatry, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India.
Gopalkrishna GururajCentre for Public Health, Department of Epidemiology, National Institute of Mental Health and Neuro Sciences, Bengaluru, Karnataka, India.
Vivek BenegalDepartment of Psychiatry, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India.
Girish N RaoCentre for Public Health, Department of Epidemiology, National Institute of Mental Health and Neuro Sciences, Bengaluru, Karnataka, India.
NMHS National Collaborators Group
National Institute of Mental Health and Neurosciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Bipolar Affective Disorder (BPAD) merits careful consideration within the medical and healthcare communities, researchers, and policymakers. This is due to its substantial disability burden, elevated prevalence of co-morbidities, heightened lifetime risk of suicidality, and a significant treatment gap. This article focuses on the lifetime and current prevalence, correlates, co-morbidities, associated disabilities, socio-economic impact, and treatment gap for BPAD in the adult population of the National Mental Health Survey (NMHS) 2016. Materials and Methods: The NMHS 2016 was a nationally representative study conducted across 12 Indian states between 2014 and 2016. A multi-stage, stratified, random cluster sampling technique based on probability proportionate to size at each stage was used. The diagnosis of BPAD was based on Mini-International Neuropsychiatric Interview 6.0.0. Sheehan's Disability Scale was used to assess the disability. Results: A total of 34,802 adults were interviewed. The overall weighted prevalence of BPAD was 0.3% [95% confidence interval (CI): 0.29-0.31] for current and 0.5% (95% CI: 0.49-0.51) for lifetime diagnosis. Male gender [odds ratio (OR) 1.56] and residence in urban metropolitans (OR 2.43) had a significantly higher risk of a lifetime diagnosis of BPAD. Substantial cross-sectional co-morbidities were noted as per MINI 6.0.0 with the diagnosis of current BPAD such as tobacco use disorder (33.3%), other substance use disorders (14.6%), and anxiety disorders (10.4%). Two-thirds of persons with current BPAD reported disability of varying severity at work (63%), social (59.3%), and family life (63%). The treatment gap for current BPAD was 70.4%. Conclusion: Most individuals with current BPAD reported moderate-severe disability. There were substantial co-morbidities and a large treatment gap. These warrant concentrated efforts from policymakers in devising effective strategies.

Indexed as

Bipolar affective disordercostdisabilityepidemiologyIndianational mental health surveyprevalencetreatment gap

Identifiers

PMID38298870
PMCPMC10826869
OpenAlexW4389476053

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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Registered trials

None linked

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.