Evidence map›Paper›PMID 37038768›Full record

ArticleClinical obesity2023

Factors associated with choice of behavioural weight loss program by adults with obesity.

Yasaman Jamshidi-Naeini, Susan B Roberts, Stephanie Dickinson, Arthur Owora, Jon Agley, Roger S Zoh, Xiwei Chen, David B Allison

Open access · hybridAbstract read
In one paragraph

Article in Clinical obesity, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 32% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Causal models and causal modelling in obesity: foundations, methods and evidence.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    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

8 authors at 2 institutions in 1 country.

Yasaman Jamshidi-NaeiniDepartment of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, Indiana, USA.ORCID https://orcid.org/0000-0003-4769-2764
Susan B RobertsJean Mayer USDA Human Nutrition Research Center on Aging at Tufts University, Boston, Massachusetts, USA.
Stephanie DickinsonDepartment of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, Indiana, USA.ORCID https://orcid.org/0000-0002-2998-4467
Arthur OworaDepartment of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, Indiana, USA.ORCID https://orcid.org/0000-0002-4580-7428
Jon AgleyDepartment of Applied Health Science, Indiana University School of Public Health-Bloomington, Bloomington, Indiana, USA.ORCID https://orcid.org/0000-0003-2345-8850
Roger S ZohDepartment of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, Indiana, USA.ORCID https://orcid.org/0000-0002-8066-1153
Xiwei ChenDepartment of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, Indiana, USA.ORCID https://orcid.org/0000-0003-1868-8387
David B AllisonDepartment of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, Indiana, USA.ORCID https://orcid.org/0000-0003-3566-9399
Indiana University Bloomington · USTufts University · US

Funding

Strengthening Causal Inference in Behavioral Obesity ResearchR25HL124208 · NHLBI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI ALLISON, DAVID B, BROWN, ANDREW W · 2014 to 2023
$1.8M
The Mathematical Sciences in Obesity ResearchR25DK099080 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI DAVID B ALLISON, Andrew W Brown · 2013 to 2026
$1.2M
NHLBI NIH HHS R25 HL124208NIDDK NIH HHS R25 DK099080NIH HHS R25DK099080NIH HHS R25HL124208
6 · The paper itself

Abstract

We assessed the preference for two behavioural weight loss programs, Diabetes Prevention Program (DPP) and Healthy Weight for Living (HWL) in adults with obesity. A cross-sectional survey was fielded on the Amazon Mechanical Turk. Eligibility criteria included reporting BMI ≥30 and at least two chronic health conditions. Participants read about the programs, selected their preferred program, and answered follow-up questions. The estimated probability of choosing either program was not significantly different from .5 (N = 1005, 50.8% DPP and 49.2% HWL, p = .61). Participants' expectations about adherence, weight loss magnitude, and dropout likelihood were associated with their choice (p < .0001). Non-White participants (p = .040) and those with monthly income greater than $4999 (p = .002) were less likely to choose DPP. Participants who had postgraduate education (p = .007), did not report high serum cholesterol (p = .028), and reported not having tried losing weight before (p = .025) were more likely to choose DPP. Those who chose HWL were marginally more likely to report that being offered two different programs rather than one would likely affect their decision to enrol in one of the two (p = .052). The enrolment into DPP and HWL was balanced, but race, educational attainment, income, previous attempt to lose weight, and serum cholesterol levels had significant associations with the choice of weight loss program.

Indexed as

Choice BehaviorObesityWeight Reduction ProgramsAdultCholesterolCross-Sectional StudiesDiabetes MellitusEducational StatusFemaleHumansMaleMiddle AgedRace FactorsSocioeconomic FactorsCholesterolbehavioural interventionobesitypreferenceself-selectionweight loss

Identifiers

PMID37038768
PMCPMC10524530
OpenAlexW4364352182

What Socratic 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 Socratic graph.