Evidence map›Paper›PMID 42087320›Full record

Trial reportPsychiatric services (Washington, D.C.)2026

Predictors of Weight Loss Among Adults With Mental Illness: A Secondary Analysis of a Randomized Clinical Trial.

Matthew Chinman, Tianxiu Wang, Jessica R Dodge, David A Frank, Jennifer L McCoy, Amy N Cohen

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Psychiatric services (Washington, D.C.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Matthew ChinmanCenter for Healthcare Evaluation Research and Promotion, Veterans Affairs (VA) Pittsburgh Healthcare System, Pittsburgh.ORCID 0000-0001-5390-8723
Tianxiu WangCenter for Healthcare Evaluation Research and Promotion, Veterans Affairs (VA) Pittsburgh Healthcare System, Pittsburgh.
Jessica R DodgeCenter for Healthcare Evaluation Research and Promotion, Veterans Affairs (VA) Pittsburgh Healthcare System, Pittsburgh.
David A FrankCenter for Healthcare Evaluation Research and Promotion, Veterans Affairs (VA) Pittsburgh Healthcare System, Pittsburgh.
Jennifer L McCoyCenter for Healthcare Evaluation Research and Promotion, Veterans Affairs (VA) Pittsburgh Healthcare System, Pittsburgh.
Amy N CohenClinical Support Systems, American Psychiatric Association, Washington, DC.

Funding

HSRD VA I01 HX003042HSRD VA IK6 HX003767
6 · The paper itself

Abstract

objectiveThis study assessed associations of motivation factors and precursor health behaviors with weight loss in the CoachToFit program for adults with mental illness.

methodsThis is a secondary analysis of a randomized trial comparing CoachToFit and usual care over 6 months at a Veterans Affairs medical center. Inclusion criteria were body mass index ≥30 kg/m

resultsCompared with usual care, CoachToFit significantly improved efficacy for eating healthily, exercising, and making healthy changes. CoachToFit (vs. usual-care) participants reported nearly 1 additional day of physical activity per week and had nearly twice the odds of being in a higher category of exercise minutes.

conclusionsPhysical activity and confidence for health improvement are important factors for weight loss programs among adults with mental illness.

Indexed as

ExerciseHealth BehaviorMental DisordersWeight LossAdultFemaleHumansMaleMiddle AgedMotivationObesityOverweightVeteransWeight Reduction ProgramsMental IllnessObesityPeer SupportPhysical ActivityVeteransWeight Loss Programs

Identifiers

PMID42087320
PMCPMC13603036

What Socratic holds

Textmetadata
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 Socratic graph.