Evidence map›Paper›PMID 36815449›Full record

ArticleBJPsych open2023

Prevalence of physical health conditions and health risk behaviours in people with severe mental illness in South Asia: multi-country cross-sectional survey.

Gerardo A Zavala, Asiful Haidar-Chowdhury, Krishna Prasad-Muliyala, Kavindu Appuhamy, Faiza Aslam, Rumana Huque, Humaira Khalid, Pratima Murthy, Asad T Nizami, Sukanya Rajan and 5 more

Open access · goldAbstract read
In one paragraph

Article in BJPsych open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.6field-weighted citation impact, top 19% 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

4 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

15 authors at 7 institutions in 4 countries.

Gerardo A ZavalaDepartment of Health Sciences, University of York, UK.ORCID https://orcid.org/0000-0002-9825-8725
Asiful Haidar-ChowdhuryARK Foundation, Dhaka, Bangladesh.
Krishna Prasad-MuliyalaDepartment of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, India.
Kavindu AppuhamyDepartment of Health Sciences, University of York, UK.
Faiza AslamInstitute of Psychiatry, Rawalpindi Medical University, Pakistan.
Rumana HuqueARK Foundation, Dhaka, Bangladesh.
Humaira KhalidInstitute of Psychiatry, Rawalpindi Medical University, Pakistan.
Pratima MurthyDepartment of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, India.
Asad T NizamiInstitute of Psychiatry, Rawalpindi Medical University, Pakistan.
Sukanya RajanDepartment of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, India.
David ShiersPsychosis Research Unit, Greater Manchester Mental Health NHS Trust, Manchester, UK; Division of Psychology and Mental Health, University of Manchester, UK; and School of Medicine, Keele University, UK.
Najma SiddiqiDepartment of Health Sciences, University of York, UK; Hull York Medical School, UK; and Bradford District Care NHS Foundation Trust, Bradford, UK.ORCID https://orcid.org/0000-0003-1794-2152
Kamran SiddiqiDepartment of Health Sciences, University of York, UK; and Hull York Medical School, UK.
Jan R BoehnkeDepartment of Health Sciences, University of York, UK; and School of Health Sciences, University of Dundee, UK.ORCID https://orcid.org/0000-0003-0249-1870
IMPACT Research Team
National Institute of Mental Health and Neurosciences · INRawalpindi Medical University · PKUniversity of York · GBARK Foundation · BDBradford District Care NHS Foundation Trust · GBGreater Manchester Mental Health NHS Foundation Trust · GBUniversity of Dundee · GB

Funding

Medical Research Council MR/V033433/1National Institute for Health Research 17/63/130
6 · The paper itself

Abstract

backgroundPeople with severe mental illness (SMI) die earlier than the general population, primarily because of physical disorders.

aimsWe estimated the prevalence of physical health conditions, health risk behaviours, access to healthcare and health risk modification advice in people with SMI in Bangladesh, India and Pakistan, and compared results with the general population.

methodWe conducted a cross-sectional survey in adults with SMI attending mental hospitals in Bangladesh, India and Pakistan. Data were collected on non-communicable diseases, their risk factors, health risk behaviours, treatments, health risk modification advice, common mental disorders, health-related quality of life and infectious diseases. We performed a descriptive analysis and compared our findings with the general population in the World Health Organization (WHO) 'STEPwise Approach to Surveillance of NCDs' reports.

resultsWe recruited 3989 participants with SMI, of which 11% had diabetes, 23.3% had hypertension or high blood pressure and 46.3% had overweight or obesity. We found that 70.8% of participants with diabetes, high blood pressure and hypercholesterolemia were previously undiagnosed; of those diagnosed, only around half were receiving treatment. A total of 47% of men and 14% of women used tobacco; 45.6% and 89.1% of participants did not meet WHO recommendations for physical activity and fruit and vegetable intake, respectively. Compared with the general population, people with SMI were more likely to have diabetes, hypercholesterolemia and overweight or obesity, and less likely to receive tobacco cessation and weight management advice.

conclusionsWe found significant gaps in detection, prevention and treatment of non-communicable diseases and their risk factors in people with SMI.

Indexed as

comorbidityhealth risk behaviourmultimorbidityPhysical health conditionssevere mental illness

Identifiers

PMID36815449
PMCPMC9970179
OpenAlexW4321598289

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.