Evidence map›Paper›PMID 37483568›Full record

ArticleIndian journal of psychological medicine2023

Effectiveness of Short-Term Lifestyle Modification on Reducing Body- Weight-Related Parameters in Persons with Severe Mental Illness: A Randomized Controlled Trial.

Vinit Kumar Singh, Daliboina Muralidhar, Palash Kumar Malo, Binukumar Bhaskarapillai, Kesavan Muralidharan

Abstract read
In one paragraph

Article in Indian journal of psychological medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

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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

5 authors.

Vinit Kumar SinghDept. of Psychiatric Social Work, National Institute of Mental Health and Neurosciences (INI), Bengaluru, Karnataka, India.ORCID https://orcid.org/0000-0002-3921-7077
Daliboina MuralidharDept. of Psychiatric Social Work, National Institute of Mental Health and Neurosciences (INI), Bengaluru, Karnataka, India.
Palash Kumar MaloDept. of Biostatistics, National Institute of Mental Health and Neurosciences (INI), Bengaluru, Karnataka, India.
Binukumar BhaskarapillaiDept. of Biostatistics, National Institute of Mental Health and Neurosciences (INI), Bengaluru, Karnataka, India.ORCID https://orcid.org/0000-0003-3056-941X
Kesavan MuralidharanDept. of Psychiatry, National Institute of Mental Health and Neurosciences (INI), Bengaluru, Karnataka, India.ORCID https://orcid.org/0000-0001-5537-7532

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Persons with severe mental illness (SMI) reportedly have a high mortality rate due to metabolic syndrome (MS). However, lifestyle modification (LM) offers effective management of some components of MS. This study aimed to evaluate the effectiveness of LM in reducing body-weight-related parameters in SMIs. Method: Eighty participants with SMI were assigned randomly to either LM ( Results: The LM and TAU groups were comparable on sociodemographic and clinical characteristics and baseline variables of body weight, BMI, WC, and WHR (all P > 0.08). Repeated-measures analysis of variance (RM ANOVA) showed that the LM group had significantly reduced body weight, BMI, WC, and WHR (all P < 0.001) than the TAU group. Similarly, the LM group also showed improvement in their QOL (P < 0.001), whereas TAU showed no improvement. Conclusions: LM is an effective way to reduce body-weight-related parameters of MS and improves the QOL among persons with SMI in the short term. The caregivers' inclusion during LM contributed to the weight reduction. However, the long-term effect of the intervention could not be assessed.

Indexed as

lifestyle modificationmetabolic syndromequality of lifeSevere mental illnessweight management

Identifiers

PMID37483568
PMCPMC10357896

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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.