Evidence map›Paper›PMID 30852244›Full record

Trial reportObesity research & clinical practice

Effects of a behavioural weight loss intervention in people with serious mental illness: Subgroup analyses from the ACHIEVE trial.

Eleanore Alexander, Emma E McGinty, Nae-Yuh Wang, Arlene Dalcin, Gerald J Jerome, Edgar R Miller, Faith Dickerson, Jeanne Charleston, Deborah R Young, Joseph V Gennusa and 4 more

Open access · greenAbstract readRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Obesity research & clinical practice. 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
0.5field-weighted citation impact, top 29% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
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

14 authors at 3 institutions in 1 country.

Eleanore AlexanderDepartment of Health Policy & Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, United States. Electronic address: ealexa12@jhmi.edu.
Emma E McGintyDepartment of Health Policy & Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, United States.
Nae-Yuh WangDivision of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, United States; Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, United States; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, United States; Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Medicine, Baltimore, MD, 21205, United States.
Arlene DalcinDivision of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, United States; Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Medicine, Baltimore, MD, 21205, United States.
Gerald J JeromeDivision of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, United States; Department of Kinesiology, Towson University, Baltimore, MD, 21252, United States.
Edgar R MillerDivision of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, United States; Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Medicine, Baltimore, MD, 21205, United States.
Faith DickersonStanley Research Program, Sheppard Pratt Health System, Baltimore, MD 21204, United States.
Jeanne CharlestonDivision of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, United States; Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Medicine, Baltimore, MD, 21205, United States.
Deborah R YoungDepartment of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, 91024, United States.
Joseph V GennusaDivision of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, United States.
Stacy GoldshollDivision of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, United States.
Courtney CookWelch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Medicine, Baltimore, MD, 21205, United States.
Lawrence J AppelWelch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Medicine, Baltimore, MD, 21205, United States.
Gail L DaumitDivision of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, United States; Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Medicine, Baltimore, MD, 21205, United States.
Johns Hopkins University · USKaiser Permanente · USSheppard Pratt Health System · US

Funding

Institute for Clinical and Translational ResearchUL1TR001079 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2013 to 2017
$60.1M
Using an innovative quality improvement process to increase delivery of evidenced-based CVD risk factor care in community mental health organizationsP50MH115842 · NIMH · JOHNS HOPKINS UNIVERSITY · PI Gail L. Daumit · 2018 to 2026
$16.2M
Randomized Trial of Achieving Healthy Lifestyles in Psych RehabilitationR01MH080964 · NIMH · JOHNS HOPKINS UNIVERSITY · PI DAUMIT, GAIL L. · 2008 to 2012
$5.2M
Developing and Translating Interventions to Decrease Mortality Disparities in SMIK24MH093763 · NIMH · JOHNS HOPKINS UNIVERSITY · PI DAUMIT, GAIL L. · 2012 to 2016
$830k
NCATS NIH HHS UL1 TR001079NIMH NIH HHS K24 MH093763NIMH NIH HHS P50 MH115842NIMH NIH HHS R01 MH080964
6 · The paper itself

Abstract

backgroundPersons with serious mental illnesses (SMI) such as schizophrenia and bipolar disorder have an increased risk of obesity and related chronic diseases and die 10-20years earlier than the overall population, primarily due to cardiovascular disease. In the ACHIEVE trial, a behavioural weight loss intervention led to clinically significant weight loss in persons with SMI. As the field turns its attention to intervention scale-up, it is important to understand whether the effectiveness of behavioural weight loss interventions for people with SMI, like ACHIEVE, differ for specific subgroups.

methodsThis study examined whether the effectiveness of the ACHIEVE intervention differed by participant characteristics (e.g. age, sex, race, psychiatric diagnosis, body mass index) and/or their weight-related attitudes and behaviours (e.g. eating, food preparation, and shopping habits). We used likelihood-based mixed effects models to examine whether the baseline to 18 month effects of the ACHIEVE intervention differed across subgroups.

resultsNo statistically significant differences were found in the effectiveness of the ACHIEVE intervention across any of the subgroups examined.

conclusionsThese findings suggest that the ACHIEVE behavioural weight loss intervention is broadly applicable to the diverse population of individuals with SMI.

Indexed as

Behavior TherapyAdultBody Mass IndexComorbidityFemaleHealth SurveysHumansMaleMarylandMental DisordersMiddle AgedObesityPatient CompliancePsychotherapy, GroupTreatment OutcomeWeight LossBehavioural weight loss interventionObesitySerious mental illness (SMI)

Identifiers

PMID30852244
PMCPMC7255457
OpenAlexW2921199215

What OpenQuestion holds

Textmetadata
LicenceTDM
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.