Literature DB >> 19497559

Predictors of attrition and weight loss success: Results from a randomized controlled trial.

Anthony N Fabricatore1, Thomas A Wadden, Reneé H Moore, Meghan L Butryn, Steven B Heymsfield, Allison Martin Nguyen.   

Abstract

Attrition is a common problem in weight loss trials. The present analysis examined several baseline and early-treatment process variables, as predictors of attrition and outcome in a clinical trial that combined pharmacotherapy and behavior therapy for weight loss. Participants were 224 obese adults who were treated with sibutramine alone, lifestyle modification alone, combined therapy, or sibutramine plus brief lifestyle modification. Predictors included baseline characteristics (e.g., demographic, weight-related, psychological, and consumption-related variables), plus attendance, adherence, and weight loss in the early weeks of treatment. Outcomes were attrition and weight loss success (i.e., >or=5% reduction in body weight) at 1 year. Multivariable models, adjusting for other relevant variables, found that younger age and greater baseline depressive symptoms were related to increased odds of attrition (ps <or= 0.003). Greater early weight loss marginally reduced the odds of attrition (p = 0.06). Predictors of weight loss success at 1 year were Caucasian ethnicity (p = 0.04), lower baseline depressive symptoms (p = 0.04), and weight loss during the first 3 weeks of treatment (p < 0.001). Thus, depressive symptoms at baseline were a significant predictor of both attrition and weight loss success. As a process variable, early weight loss appears to have more predictive value than early attendance at treatment sessions or early adherence.

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Year:  2009        PMID: 19497559      PMCID: PMC2713356          DOI: 10.1016/j.brat.2009.05.004

Source DB:  PubMed          Journal:  Behav Res Ther        ISSN: 0005-7967


  31 in total

1.  Predictors of attrition in a large clinic-based weight-loss program.

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Journal:  Obes Res       Date:  2003-07

Review 2.  Weight and Lifestyle Inventory (WALI).

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6.  Pretreatment predictors of attrition and successful weight management in women.

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Journal:  Obesity (Silver Spring)       Date:  2007-12       Impact factor: 5.002

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  58 in total

1.  Early Weight Loss and Treatment Response: Data From a Lifestyle Change Program in Clinical Practice.

Authors:  Robert J Romanelli; Sylvia Sudat; Qiwen Huang; Alice R Pressman; Kristen Azar
Journal:  Am J Prev Med       Date:  2019-12-20       Impact factor: 5.043

2.  Evaluation of the ability of three physical activity monitors to predict weight change and estimate energy expenditure.

Authors:  John B Correa; John W Apolzan; Desti N Shepard; Daniel P Heil; Jennifer C Rood; Corby K Martin
Journal:  Appl Physiol Nutr Metab       Date:  2016-03-14       Impact factor: 2.665

3.  Prognostic Value of Ultrasound Stratigraphy in Long-Term Weight Loss: Results from a Nutritional Counseling Program.

Authors:  Luca De Toni; Gabriel Cosmin Petre; Andrea Garolla; Ilaria De Santis; Umberto Valente; Carlo Foresta; Maurizio De Rocco Ponce
Journal:  Obes Facts       Date:  2019-11-08       Impact factor: 3.942

4.  Risk factors for poor attendance in a family-based pediatric obesity intervention program for young children.

Authors:  Natalie A Williams; Mace Coday; Grant Somes; Frances A Tylavsky; Phyllis A Richey; Marion Hare
Journal:  J Dev Behav Pediatr       Date:  2010 Nov-Dec       Impact factor: 2.225

5.  Initial engagement and attrition in a national weight management program: demographic and health predictors.

Authors:  J S Funderburk; D Arigo; A Kenneson
Journal:  Transl Behav Med       Date:  2016-09       Impact factor: 3.046

6.  Weight loss practices among newly enrolling clients in a commercial weightloss program in Ghana.

Authors:  Sandra Ayisi-Addo; Stephen Ayisi-Addo; Agartha Ohemeng
Journal:  Ghana Med J       Date:  2016-03

7.  Baseline motives for eating palatable food: racial differences and preliminary utility in predicting weight loss.

Authors:  Maria D Sylvester; Emilee E Burgess; Taraneh Soleymani; Sunil Daniel; Bulent Turan; Mary Katherine Ray; Courtney T Howard; Mary M Boggiano
Journal:  Eat Weight Disord       Date:  2017-08-24       Impact factor: 4.652

8.  Weight loss history as a predictor of weight loss: results from Phase I of the weight loss maintenance trial.

Authors:  Valerie H Myers; Megan A McVay; Catherine M Champagne; Jack F Hollis; Janelle W Coughlin; Kristine L Funk; Christina M Gullion; Gerald J Jerome; Catherine M Loria; Carmen D Samuel-Hodge; Victor J Stevens; Laura P Svetkey; Phillip J Brantley
Journal:  J Behav Med       Date:  2012-08-21

9.  Lycopene dietary intervention: a pilot study in patients with heart failure.

Authors:  Martha J Biddle; Terry A Lennie; Gregory V Bricker; Rachel E Kopec; Steven J Schwartz; Debra K Moser
Journal:  J Cardiovasc Nurs       Date:  2015 May-Jun       Impact factor: 2.083

10.  Blood profile of proteins and steroid hormones predicts weight change after weight loss with interactions of dietary protein level and glycemic index.

Authors:  Ping Wang; Claus Holst; Malene R Andersen; Arne Astrup; Freek G Bouwman; Sanne van Otterdijk; Will K W H Wodzig; Marleen A van Baak; Thomas M Larsen; Susan A Jebb; Anthony Kafatos; Andreas F H Pfeiffer; J Alfredo Martinez; Teodora Handjieva-Darlenska; Marie Kunesova; Wim H M Saris; Edwin C M Mariman
Journal:  PLoS One       Date:  2011-02-14       Impact factor: 3.240

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