Literature DB >> 25293585

Measuring and reporting attrition from obesity treatment programs: A call to action!

Beth M L Miller1, Leah Brennan2.   

Abstract

The high attrition rates in obesity interventions are associated with poorer weight loss and maintenance for the individual and poorer overall treatment effectiveness and cost-effectiveness for the treatment provider. Increased knowledge about factors associated with attrition can facilitate the identification of individuals at risk of drop-out and inform treatment program improvements with the aim of maximising treatment retention. To date, a relatively small body of literature has explored attrition from weight-loss interventions using two methods of attrition assessment: identification of pre-treatment predictors of attrition and eliciting post-treatment reasons for attrition. A range of attrition rates have been reported and no reliable or consistent predictors of attrition have been found. It is unknown whether the lack of consistent findings reflects population or treatment differences, or if the discrepant findings simply reflect differences in definition and measurement of attrition. Further research is required to address these limitations. There is a need for a recognised definition of obesity treatment attrition, the consideration of predictors that are theoretically and empirically associated with attrition, the development of a well-validated and standardised measure of barriers to attendance, and assessment of both treatment completers and drop-outs. Understanding the factors that influence attrition can be used to inform the modification of treatment programs and to target those most at risk of drop-out so as to maximise the success of obesity interventions.
Copyright © 2014 Asian Oceanian Association for the Study of Obesity. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Attrition; Drop-out; Follow-up attendance; Obesity

Mesh:

Year:  2014        PMID: 25293585     DOI: 10.1016/j.orcp.2014.08.007

Source DB:  PubMed          Journal:  Obes Res Clin Pract        ISSN: 1871-403X            Impact factor:   2.288


  21 in total

1.  Expected benefits and motivation to weight loss in relation to treatment outcomes in group-based cognitive-behavior therapy of obesity.

Authors:  Anna Simona Sasdelli; Maria Letizia Petroni; Anna Delli Paoli; Giulia Collini; Simona Calugi; Riccardo Dalle Grave; Giulio Marchesini
Journal:  Eat Weight Disord       Date:  2018-01-24       Impact factor: 4.652

2.  The Predictive Value of Adipokines and Metabolic Risk Factors for Dropouts and Treatment Outcomes in Children With Obesity Treated in a Pediatric Rehabilitation Center.

Authors:  Eline Vermeiren; Annelies Van Eyck; Karolien Van De Maele; Marijke Ysebaert; Sanae Makhout; Ann De Guchtenaere; Maria Van Helvoirt; Ann Tanghe; Tiffany Naets; Leentje Vervoort; Caroline Braet; Luc Bruyndonckx; Benedicte De Winter; Stijn Verhulst; Kim Van Hoorenbeeck
Journal:  Front Endocrinol (Lausanne)       Date:  2022-06-13       Impact factor: 6.055

3.  Feasibility, effectiveness and cost-effectiveness of a telephone-based weight loss program delivered via a hospital outpatient setting.

Authors:  M E Whelan; A D Goode; E G Eakin; J L Veerman; E A H Winkler; I J Hickman; M M Reeves
Journal:  Transl Behav Med       Date:  2016-09       Impact factor: 3.046

4.  An exploration of factors influencing attrition from a pediatric weight management intervention.

Authors:  Melissa Kwitowski; Melanie K Bean; Suzanne E Mazzeo
Journal:  Obes Res Clin Pract       Date:  2016-08-17       Impact factor: 2.288

5.  Development of a Measure of Barriers to Laparoscopic Adjustable Gastric Banding (LAGB) Aftercare Attendance.

Authors:  Beth M L Miller; Kylie D Murphy; Paul E O'Brien; Leah Brennan
Journal:  Obes Surg       Date:  2016-04       Impact factor: 4.129

6.  A path model analysis on predictors of dropout (at 6 and 12 months) during the weight loss interventions in endocrinology outpatient division.

Authors:  Simone Perna; Daniele Spadaccini; Antonella Riva; Pietro Allegrini; Chiara Edera; Milena Anna Faliva; Gabriella Peroni; Maurizio Naso; Mara Nichetti; Carlotta Gozzer; Beatrice Vigo; Mariangela Rondanelli
Journal:  Endocrine       Date:  2018-02-22       Impact factor: 3.633

7.  Habit-based interventions for weight loss maintenance in adults with overweight and obesity: a randomized controlled trial.

Authors:  Gina Cleo; Paul Glasziou; Elaine Beller; Elisabeth Isenring; Rae Thomas
Journal:  Int J Obes (Lond)       Date:  2018-04-23       Impact factor: 5.095

8.  Design programmes to maximise participant engagement: a predictive study of programme and participant characteristics associated with engagement in paediatric weight management.

Authors:  James Nobles; Claire Griffiths; Andy Pringle; Paul Gately
Journal:  Int J Behav Nutr Phys Act       Date:  2016-07-19       Impact factor: 6.457

9.  Baseline Psychosocial and Demographic Factors Associated with Study Attrition and 12-Month Weight Gain in the DIETFITS Trial.

Authors:  Priya Fielding-Singh; Michele L Patel; Abby C King; Christopher D Gardner
Journal:  Obesity (Silver Spring)       Date:  2019-10-21       Impact factor: 5.002

10.  Weight Discrimination Experienced Prior to Enrolling in a Behavioral Obesity Intervention is Associated with Treatment Response Among Black and White Adults in the Southeastern U.S.

Authors:  Kaylee B Crockett; Alena Borgatti; Fei Tan; Ziting Tang; Gareth Dutton
Journal:  Int J Behav Med       Date:  2021-08-02
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