Evidence map›Paper›PMID 26609668›Full record

Trial reportEating behaviors2016

Socio-demographic, anthropometric, and psychosocial predictors of attrition across behavioral weight-loss trials.

Rachel W Goode, Lei Ye, Susan M Sereika, Yaguang Zheng, Meghan Mattos, Sushama D Acharya, Linda J Ewing, Cynthia Danford, Lu Hu, Christopher C Imes and 4 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Eating behaviors, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 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

30 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  3. Testing the feasibility of an intermittent low-energy diet in women with gestational diabetes.Diabetic medicine : a journal of the British Diabetic Association · 2026
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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

14 authors.

Rachel W GoodeUniversity of Pittsburgh School of Social Work, Pittsburgh, PA, USA; University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA, USA.
Lei YeUniversity of Pittsburgh School of Nursing, Pittsburgh, PA, USA; University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA, USA.
Susan M SereikaUniversity of Pittsburgh School of Nursing, Pittsburgh, PA, USA; University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA, USA; Clinical and Translational Science Institute, University of Pittsburgh, Pittsburgh, PA, USA.
Yaguang ZhengBoston College School of Nursing, Chestnut Hill, MA, USA.
Meghan MattosUniversity of Pittsburgh School of Nursing, Pittsburgh, PA, USA.
Sushama D AcharyaCenters for Disease Control and Prevention, Atlanta, GA, USA.
Linda J EwingUniversity of Pittsburgh School of Nursing, Pittsburgh, PA, USA.
Cynthia DanfordUniversity of Pittsburgh School of Nursing, Pittsburgh, PA, USA.
Lu HuUniversity of Pittsburgh School of Nursing, Pittsburgh, PA, USA.
Christopher C ImesUniversity of Pittsburgh School of Nursing, Pittsburgh, PA, USA.
Eileen ChasensUniversity of Pittsburgh School of Nursing, Pittsburgh, PA, USA.
Nicole OsierUniversity of Pittsburgh School of Nursing, Pittsburgh, PA, USA.
Juliet MancinoUniversity of Pittsburgh School of Nursing, Pittsburgh, PA, USA.
Lora E BurkeUniversity of Pittsburgh School of Nursing, Pittsburgh, PA, USA; University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA, USA; Clinical and Translational Science Institute, University of Pittsburgh, Pittsburgh, PA, USA. Electronic address: lbu100@pitt.edu.

Funding

University of Pittsburgh Clinical and Translational Science InstituteUL1TR000005 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2012 to 2015
$50.8M
Targeting Research and Academic Training of Nurses in GenomicsT32NR009759 · NINR · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CONLEY, YVETTE P · 2006 to 2025
$4.5M
Technology Research in Chronic & Critical IllnessT32NR008857 · NINR · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Young Ji Lee · 2005 to 2026
$4.0M
Translational support coreP01NR010949 · NINR · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI DUNBAR-JACOB, JACQUELINE M · 2008 to 2012
$3.4M
Improving Self-Monitoring in Weight Loss with TechnologyR01DK071817 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BURKE, LORA EMILIE · 2005 to 2010
$2.5M
Treatment Preference/Vegetarian Diet in Weight Loss(RMI)R01DK058631 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BURKE, LORA E · 2001 to 2005
$1.7M
Long-term changes in weight and adipokines and the associations with genetic variK24NR010742 · NINR · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BURKE, LORA EMILIE · 2008 to 2010
$393k
A Feasibility Study to Reduce Binge Eating in Overweight African American WomenF31HL126425 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI GOODE, RACHEL W. · 2015 to 2016
$79k
NCATS NIH HHS UL1 TR000005NHLBI NIH HHS F31 HL126425NIDDK NIH HHS R01 DK058631NIDDK NIH HHS R01 DK071817NIDDK NIH HHS R01-DK071817NIDDK NIH HHS R01-DK58631NINR NIH HHS K24 NR010742NINR NIH HHS NR010742NINR NIH HHS P01 NR010949NINR NIH HHS P01-NR010949NINR NIH HHS T32 NR008857NINR NIH HHS T32 NR009759PHS HHS NIH-NCRR-GCRC 5M01-RR00056PHS HHS NIH-NIDDK DK-046204PHS HHS NIH-NINR P30-NR03924PHS HHS NIH-NINR T32NR008857PHS HHS NIH-NINR T32NR009759
6 · The paper itself

Abstract

Preventing attrition is a major concern in behavioral weight loss intervention studies. The purpose of this analysis was to identify baseline and six-month predictors associated with participant attrition across three independent clinical trials of behavioral weight loss interventions (PREFER, SELF, and SMART) that were conducted over 10 years. Baseline measures included body mass index, Barriers to Healthy Eating, Beck Depression Inventory-II (BDI), Hunger Satiety Scale (HSS), Binge Eating Scale (BES), Medical Outcome Study Short Form (MOS SF-36 v2) and Weight Efficacy Lifestyle Questionnaire (WEL). We also examined early weight loss and attendance at group sessions during the first 6 months. Attrition was recorded at the end of the trials. Participants included 504 overweight and obese adults seeking weight loss treatment. The sample was 84.92% female and 73.61% white, with a mean (± SD) age of 47.35 ± 9.75 years. After controlling for the specific trial, for every one unit increase in BMI, the odds of attrition increased by 11%. For every year increase in education, the odds of attrition decreased by 10%. Additional predictors of attrition included previous attempts to lose 50-79 lbs, age, not possessing health insurance, and BES, BDI, and HSS scores. At 6 months, the odds of attrition increased by 10% with reduced group session attendance. There was also an interaction between percent weight change and trial (p<.001). Multivariate analysis of the three trials showed education, age, BMI, and BES scores were independently associated with attrition (ps ≤ .01). These findings may inform the development of more robust strategies for reducing attrition.

Indexed as

Behavior TherapyWeight LossAdultAge FactorsBinge-Eating DisorderBody Mass IndexEducational StatusFemaleHumansMaleMiddle AgedMultivariate AnalysisObesityOverweightPatient DropoutsPsychiatric Status Rating ScalesAttritionBinge eatingWeight loss

Identifiers

PMID26609668
PMCPMC4826274

What OpenQuestion holds

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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.