Evidence map›Paper›PMID 32816208›Full record

ArticleEating and weight disorders : EWD2021

Predictors of attrition from a weight loss program. A study of adult patients with obesity in a community setting.

Valentina Ponzo, Elena Scumaci, Ilaria Goitre, Guglielmo Beccuti, Andrea Benso, Sara Belcastro, Chiara Crespi, Franco De Michieli, Marianna Pellegrini, Paola Scuntero and 5 more

Open access · hybridAbstract read
In one paragraph

Article in Eating and weight disorders : EWD, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 2 pooled it
6.4field-weighted citation impact, top 3% 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

24 citing papers in PubMed, 2 syntheses or guidelines pooled it, 44 citations in OpenAlex.

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  9. Adherence to Behavioral Weight Management: A Scoping Review of Definitions, Measurement, and Components.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026
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  19. Predicting Attrition Patterns from Pediatric Weight Management Programs.Proceedings of machine learning research · 2022
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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

15 authors at 2 institutions in 2 countries.

Valentina PonzoDepartment of Medical Sciences, University of Torino, c.so AM Dogliotti 14, 10126, Turin, Italy.
Elena ScumaciDepartment of Medical Sciences, University of Torino, c.so AM Dogliotti 14, 10126, Turin, Italy.
Ilaria GoitreDepartment of Medical Sciences, University of Torino, c.so AM Dogliotti 14, 10126, Turin, Italy.
Guglielmo BeccutiDepartment of Medical Sciences, University of Torino, c.so AM Dogliotti 14, 10126, Turin, Italy.
Andrea BensoDepartment of Medical Sciences, University of Torino, c.so AM Dogliotti 14, 10126, Turin, Italy.
Sara BelcastroDepartment of Medical Sciences, University of Torino, c.so AM Dogliotti 14, 10126, Turin, Italy.
Chiara CrespiDepartment of Medical Sciences, University of Torino, c.so AM Dogliotti 14, 10126, Turin, Italy.
Franco De MichieliDepartment of Medical Sciences, University of Torino, c.so AM Dogliotti 14, 10126, Turin, Italy.
Marianna PellegriniDepartment of Medical Sciences, University of Torino, c.so AM Dogliotti 14, 10126, Turin, Italy.
Paola ScunteroCenter for the Treatment of Diabetes and Metabolic Diseases, "Città Della Salute E Della Scienza" Hospital of Torino, Turin, Italy.
Enrica MarzolaDepartment of Neuroscience, University of Torino, Turin, Italy.
Giovanni Abbate-DagaDepartment of Neuroscience, University of Torino, Turin, Italy.
Ezio GhigoDepartment of Medical Sciences, University of Torino, c.so AM Dogliotti 14, 10126, Turin, Italy.
Fabio BroglioDepartment of Medical Sciences, University of Torino, c.so AM Dogliotti 14, 10126, Turin, Italy.
Simona BoDepartment of Medical Sciences, University of Torino, c.so AM Dogliotti 14, 10126, Turin, Italy. simona.bo@unito.it.ORCID http://orcid.org/0000-0001-6862-8628
University of Turin · ITAzienda Ospedaliera Citta' della Salute e della Scienza di Torino · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeObesity unit attrition is frequent and contributes to treatment failure. Many studies evaluating attrition predictors were part of randomized trials, and different terminology and criteria were used in the engagement field. We aimed to investigate the factors potentially implicated in early (< 12 weeks) and late (> 12 weeks) attrition from an obesity unit in a community setting

methodsThis was a retrospective cohort study of 250 patients with obesity who were followed-up at our obesity unit. Our program included at least 6 meetings in 12 months. Sociodemographic and anthropometric data, and psychometric questionnaires were collected from all participants.

resultsOne-hundred thirty-four (53.6%) participants dropped out. Those individuals showed lower BMI, lower overall health status, and increased depression scores. In a multiple regression model, BMI (inversely; OR = 0.90; 95%CI 0.84-0.96) and depression score (directly, OR = 1.05; 1.00-1.10) were associated with attrition risk. Early dropouts (n = 47) had lower weights, smaller waist circumferences and worse mental health scores than late dropouts (n = 87) and more frequently lived alone. When compared to completers, early dropouts had lower weights, BMIs, waist circumferences, overall health and mental status scores, increased depression scores and percentage of individuals living alone. In a multiple regression, lower BMI (OR = 0.83; 0.75-0.92), lower mental status score (OR = 3.17; 1.17-8.59) and living alone (OR = 2.25; 1.02-4.97) were associated with early attrition risk.

conclusionLower BMI and increased depression score were associated with attrition. Early attrition was associated with lower weight, decreased mental well-being, and living alone. Individuals with these characteristics might need tailored approaches to enhance their engagement. LEVEL OF EVIDENCE: Level V, retrospective descriptive study.

Indexed as

Weight Reduction ProgramsAdultBody Mass IndexHumansObesityPatient DropoutsRetrospective StudiesWeight LossDropoutsObesityTreatment failureWeight management

Identifiers

PMID32816208
PMCPMC8292291
OpenAlexW3081024174

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.