Evidence map›Paper›PMID 36618743›Full record

ReviewGlobal mental health (Cambridge, England)2022

Effectiveness of interventions to address obesity and health risk behaviours among people with severe mental illness in low- and middle-income countries (LMICs): a systematic review and meta analysis.

Gerardo A Zavala, Olamide Todowede, Papiya Mazumdar, Faiza Aslam, Asiful Haidar Choudhury, Alexander Jarde, Humaira Khalid, Sadananda Reddy, Simon Gilbody, Najma Siddiqi

Open access · goldAbstract readReview
In one paragraph

Review in Global mental health (Cambridge, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
1.6field-weighted citation impact, top 15% 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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. EPA guidance on lifestyle interventions for adults with severe mental illness: A meta-review of the evidence.European psychiatry : the journal of the Association of European Psychiatrists · 2024
    Pooled it
  3. Article
  4. Article
  5. Article
  6. Review
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 4 institutions in 4 countries.

Gerardo A ZavalaDepartment of Health Sciences, University of York, York, UK.ORCID https://orcid.org/0000-0002-9825-8725
Olamide TodowedeDepartment of Health Sciences, University of York, York, UK.
Papiya MazumdarDepartment of Health Sciences, University of York, York, UK.
Faiza AslamInstitute of Psychiatry (IoP), Benazir Bhutto Hospital, Rawalpindi Medical University, Rawalpindi, Pakistan.ORCID https://orcid.org/0000-0002-7847-7250
Asiful Haidar ChoudhuryARK Foundation, Dhaka, Bangladesh.
Alexander JardeDepartment of Health Sciences, University of York, York, UK.
Humaira KhalidInstitute of Psychiatry (IoP), Benazir Bhutto Hospital, Rawalpindi Medical University, Rawalpindi, Pakistan.
Sadananda ReddySchool of Social Sciences/Psychology, CHRIST (Deemed to be University), Bengaluru, India.
Simon GilbodyDepartment of Health Sciences, University of York, York, UK.
Najma SiddiqiDepartment of Health Sciences, University of York, York, UK.
University of York · GBRawalpindi Medical University · PKARK Foundation · BDChrist University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: People with severe mental illness (SMI) are more likely to have obesity and engage in health risk behaviours than the general population. The aims of this study are (1) evaluate the effectiveness of interventions that focus on body weight, smoking cessation, improving sleeping patterns, and alcohol and illicit substance abuse; (2) Compare the number of interventions addressing body weight and health risk behaviours in low- and middle-income countries (LMICs) Methods: Intervention studies published up to December 2020 were identified through a structured search in the following database; OVID MEDLINE (1946-December 2020), EMBASE (1974-December 2020), CINAHL (1975-2020), APA PsychoINFO (1806-2020). Two authors independently selected studies, extracted study characteristics and data and assessed the risk of bias. and risk of bias was assessed using the Cochrane risk of bias tool V2. We conducted a narrative synthesis and, in the studies evaluating the effectiveness of interventions to address body weight, we conducted random-effects meta-analysis of mean differences in weight gain. We did a systematic search of systematic reviews looking at cardiometabolic and health risk behaviours in people with SMI. We compared the number of available studies of LMICs with those of HICs. Results: We assessed 15 657 records, of which 9 met the study inclusion criteria. Six focused on healthy weight management, one on sleeping patterns and two tested a physical activity intervention to improve quality of life. Interventions to reduce weight in people with SMI are effective, with a pooled mean difference of -4.2 kg (95% CI -6.25 to -2.18, 9 studies, 459 participants, Conclusion: Pharmacological and activity-based interventions are effective to maintain and reduce body weight in people with SMI. There was a very limited number of interventions addressing sleep and physical activity and no interventions addressing smoking, alcohol or harmful drug use. There is a need to test the feasibility and cost-effectiveness of context-appropriate interventions to address health risk behaviours that might help reduce the mortality gap in people with SMI in LMICs.

Indexed as

Health risk behaviourslow and middle income countriesschizophreniasevere mental illness

Identifiers

PMID36618743
PMCPMC9806988
OpenAlexW4283363992

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.