Evidence map›Paper›PMID 36853750›Full record

ArticleJMIR formative research2023

Weight Loss Expectations of Adults With Binge Eating: Cross-sectional Study With a Human-Centered Design Approach.

Claire Voss, Jianyi Liu, Angela Chang, Jacqueline A Kosmas, Abigail Biehl, Rebecca L Flynn, Kaylee P Kruzan, Jennifer E Wildes, Andrea K Graham

Open access · goldFull text read
In one paragraph

Article in JMIR formative research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.6field-weighted citation impact, top 19% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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

9 authors at 2 institutions in 1 country.

Claire VossCenter for Behavioral Intervention Technologies, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.ORCID https://orcid.org/0000-0003-4652-7476
Jianyi LiuCenter for Behavioral Intervention Technologies, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.ORCID https://orcid.org/0000-0002-5065-1771
Angela ChangCenter for Behavioral Intervention Technologies, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.ORCID https://orcid.org/0000-0002-0928-3241
Jacqueline A KosmasCenter for Behavioral Intervention Technologies, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.ORCID https://orcid.org/0000-0002-9549-8897
Abigail BiehlCenter for Behavioral Intervention Technologies, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.ORCID https://orcid.org/0000-0001-5501-2277
Rebecca L FlynnCenter for Behavioral Intervention Technologies, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.ORCID https://orcid.org/0000-0001-6538-2562
Kaylee P KruzanCenter for Behavioral Intervention Technologies, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.ORCID https://orcid.org/0000-0003-1489-487X
Jennifer E WildesDepartment of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL, United States.ORCID https://orcid.org/0000-0003-0950-4347
Andrea K GrahamCenter for Behavioral Intervention Technologies, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.ORCID https://orcid.org/0000-0002-9736-8906
Northwestern University · USUniversity of Chicago · US

Funding

Technology Enabled Services for Coordinated Care of Depression in Healthcare SettingsP50MH119029 · NIMH · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Jessica Lee Schleider · 2020 to 2026
$10.7M
Multidisciplinary Training Program in Digital Mental HealthT32MH115882 · NIMH · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Darren Gergle, DAVID CURTIS MOHR · 2018 to 2026
$2.4M
Testing Intervention Strategies for Addressing Obesity and Binge EatingK01DK116925 · NIDDK · NORTHWESTERN UNIVERSITY AT CHICAGO · PI GRAHAM, ANDREA KASS · 2018 to 2022
$799k
NIDDK NIH HHS K01 DK116925NIMH NIH HHS P50 MH119029NIMH NIH HHS T32 MH115882
6 · The paper itself

Abstract

backgroundPeople tend to overestimate their expectations for weight loss relative to what is achievable in a typical evidence-based behavioral weight management program, which can impact treatment satisfaction and outcomes. We are engaged in formative research to design a digital intervention that addresses binge eating and weight management; thus, understanding expectations among this group can inform more engaging intervention designs to produce a digital intervention that can achieve greater clinical success. Studies examining weight loss expectations have primarily focused on people who have overweight or obesity. Only one study has investigated weight loss expectations among people with binge eating disorder, a population that frequently experiences elevated weight and shape concerns and often presents to treatment with the goal of losing weight.

objectiveThe aim of the study is to investigate differences in weight loss expectations among people with varying levels of binge eating to inform the design of a digital intervention for binge eating and weight management. Such an evaluation may be crucial for people presenting for a digital intervention, given that engagement and dropout are notable problems for digital behavior change interventions. We tested the hypotheses that (1) people who endorsed some or recurrent binge eating would expect to lose more weight than those who did not endorse binge eating and (2) people who endorsed a more severe versus a low or moderate overvaluation of weight and shape would have higher weight loss expectations.

methodsA total of 760 adults (n=504, 66% female; n=441, 58% non-Hispanic White) completed a web-based screening questionnaire. One-way ANOVAs were conducted to explore weight loss expectations for binge eating status as well as overvaluation of shape and weight.

resultsWeight loss expectations significantly differed by binge eating status. Those who endorsed some and recurrent binge eating expected to lose more weight than those who endorsed no binge eating. Participants with severe overvaluation of weight or shape expected to lose the most weight compared to those with low or moderate levels of overvaluation of weight and shape.

conclusionsIn the sample, people interested in a study to inform a digital intervention for binge eating and weight management overestimated their expectations for weight loss. Given that weight loss expectations can impact treatment completion and success, it may be important to assess and modify weight loss expectations among people with binge eating prior to enrolling in a digital intervention. Future work should design and test features that can modify these expectations relative to individuals' intended treatment goals to facilitate engagement and successful outcomes in a digital intervention.

Indexed as

behavioral changebinge eatingdigital interventioneating disorderhuman-centered designobesityovervaluation of weight and shapeoverweightuser expectationsweight lossweight loss expectations

Identifiers

PMID36853750
PMCPMC10015344
OpenAlexW4322616902

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read31
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.