Evidence map›Paper›PMID 26966544›Full record

ArticleBMC obesity2016

Predictors of early attrition and successful weight loss in patients attending an obesity management program.

Dishay Jiandani, Sean Wharton, Michael A Rotondi, Chris I Ardern, Jennifer L Kuk

Abstract read
In one paragraph

Article in BMC obesity, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 3 pooled it
–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

41 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  13. The Influence of Relationships Within Behavioral Weight Management Interventions: An Overview.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026
    Review
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  19. Withdrawal: A key consideration in evaluating whether highly processed foods are addictive.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2022
    Review
  20. Predicting Attrition Patterns from Pediatric Weight Management Programs.Proceedings of machine learning research · 2022
    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

5 authors.

Dishay JiandaniSchool of Kinesiology and Health Science, York University, Toronto, Canada.
Sean WhartonSchool of Kinesiology and Health Science, York University, Toronto, Canada ; The Wharton Weight Management Clinic, Toronto, Canada.
Michael A RotondiSchool of Kinesiology and Health Science, York University, Toronto, Canada.
Chris I ArdernSchool of Kinesiology and Health Science, York University, Toronto, Canada.
Jennifer L KukSchool of Kinesiology and Health Science, York University, Toronto, Canada ; Room 2002B, Sherman Health Science Research Centre, York University, 4700 Keele St., Toronto, ON M3J 1P3 Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOur objective was to identify factors that are independently associated with early attrition and successful weight loss (WL) in an obesity-management program.

methodsParticipants were 9,498 patients enrolled in treatment at the Wharton Weight Management Clinic for at least 6 months. Predictors of early attrition (<6 months) and successful WL (≥5 %) were analyzed using relative risk (RR) in men and women separately. Pearson's correlation was used to determine the relationship between WL and treatment time Weight loss and attrition analysis was restricted to patients who had more than two visits (n = 5415).

resultsOlder individuals had lower early attrition (RR Range:0.74-0.92, P < 0.05) and greater WL success (RR Range:1.40-1.65, P < 0.05) than younger individuals. Males with hypertension and females with depression had greater early attrition (RR Range:1.09-1.20, P < 0.05) and lower WL success (RR Range:0.48-0.57, P < 0.05) than those without these health conditions. Males with lower education had greater early attrition (RR = 1.11[1.03-1.19]) than males with higher education, but did not differ in WL. Females who smoked had greater early attrition (RR = 1.06[1.01-1.11]) than females who did not smoke, but did not differ in WL. Ethnicity was not related to early attrition, however, females of Black and Other ethnicities had lower WL success compared to White females (RR Range:0.58-0.74, P < 0.05). After adjusting for treatment time, all above associations were no longer significant and treatment time remained as the only independent predictor of WL success (P < 0.0001).

conclusionAs WL is positively and independently related with treatment time, individuals at risk for early attrition may need alternative treatment options, in order to improve patient retention and improve WL success.

Indexed as

ClinicalDrop outInterventionObeseOverweightWeight loss

Identifiers

PMID26966544
PMCPMC4784380

What OpenQuestion holds

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Registered trials

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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.