Trial reportJournal of behavioral medicine2020
Quality of life outcomes of web-based and in-person weight management for adults with serious mental illness.
Trial report in Journal of behavioral medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00983476 (Web-Based Delivery of MOVE! to Veterans With Serious Mental Illness), which is not on this map. Cited by 6 papers, 3 of them syntheses that pooled 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.
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.
Web-Based Delivery of MOVE! to Veterans With Serious Mental Illness
Who cites it
6 citing papers in PubMed, 3 syntheses or guidelines pooled it, 8 citations in OpenAlex.
- Digital Mental Health Interventions in Obesity Management: A Systematic Review and Evidence-Based Recommendations.Current obesity reports · 2026Pooled it
- Systematic Review of Loneliness and Social Isolation Interventions in Obesity and Obesity-Related Complications.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026Pooled it
- Patient-reported outcomes of lifestyle interventions in patients with severe mental illness: a systematic review and meta-analysis.BMC psychiatry · 2022Pooled it
- Non-pharmacologicaL InterVEntions for Antipsychotic-Induced Weight Gain (RESOLVE) in People Living With Severe Mental Illness: A Realist Synthesis.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025Review
- What is the volume, diversity and nature of recent, robust evidence for the use of peer support in health and social care? An evidence and gap map.Campbell systematic reviews · 2022Review
- Computerized Conjoint Analysis of the Weight Treatment Preferences of Individuals With Schizophrenia.Psychiatric services (Washington, D.C.) · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 3 institutions in 1 country.
Funding
Abstract
Adults with serious mental illness have high rates of obesity, with associated negative impacts on health-related quality of life. The present study utilized data from a randomized controlled trial (N = 276) to examine the effectiveness of in-person and online-delivered weight management interventions, compared to usual care, for improving health-related quality of life in this population. Participants completed quality of life assessments at baseline, 3 months, and 6 months. Mixed effects models examined group by time interactions. Compared to usual care, in-person MOVE was associated with improvements in loneliness (t = - 2.76, p = .006) and mental health related quality of life (t = 1.99, p = 0.048) at 6 months, and webMOVE was associated with improvements in weight-related self-esteem at 6 months (t = 2.23, p = .026) and mental health-related quality of life at 3 months (t = 2.17, p = 0.031) and 6 months (t = 2.38, p = .018). Web-based and in-person weight management led to improvements in health-related quality of life for adults with serious mental illness.ClinicalTrials.gov Identifier: NCT00983476.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.