Literature DB >> 15655038

A review of psychosocial pre-treatment predictors of weight control.

P J Teixeira1, S B Going, L B Sardinha, T G Lohman.   

Abstract

Prompted by the large heterogeneity of individual results in obesity treatment, many studies have attempted to predict weight outcomes from information collected from participants before they start the programme. Identifying significant predictors of weight loss outcomes is central to improving treatments for obesity, as it could help professionals focus efforts on those most likely to benefit, suggest supplementary or alternative treatments for those less likely to succeed, and help in matching individuals to different treatments. To date, however, research efforts have resulted in weak predictive models with limited practical usefulness. The two primary goals of this article are to review the best individual-level psychosocial pre-treatment predictors of short- and long-term (1 year or more) weight loss and to identify research needs and propose directions for further work in this area. Results from original studies published since 1995 show that few previous weight loss attempts and an autonomous, self-motivated cognitive style are the best prospective predictors of successful weight management. In the more obese samples, higher initial body mass index (BMI) may also be correlated with larger absolute weight losses. Several variables, including binge eating, eating disinhibition and restraint, and depression/mood clearly do not predict treatment outcomes, when assessed before treatment. Importantly, for a considerable number of psychosocial constructs (e.g. eating self-efficacy, body image, self-esteem, outcome expectancies, weight-specific quality of life and several variables related to exercise), evidence is suggestive but inconsistent or too scant for an informed conclusion to be drawn. Results are discussed in the context of past and present conceptual and methodological limitations, and several future research directions are described.

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Year:  2005        PMID: 15655038     DOI: 10.1111/j.1467-789X.2005.00166.x

Source DB:  PubMed          Journal:  Obes Rev        ISSN: 1467-7881            Impact factor:   9.213


  145 in total

1.  Health-related quality of life among participants in the SMART weight loss trial.

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Journal:  Appl Nurs Res       Date:  2011-11-12       Impact factor: 2.257

2.  Effectiveness of a cognitive behavioral weight management intervention in obese patients with psychotic disorders compared to patients with nonpsychotic disorders or no psychiatric disorders: results from a 12-month, real-world study.

Authors:  Jian-Ping Zhang; Jeffrey J Weiss; Melissa McCardle; Hope Klopchin; Eileen Rosendahl; Lawrence Maayan; Antonio Convit; John M Kane; Peter Manu; Christoph U Correll
Journal:  J Clin Psychopharmacol       Date:  2012-08       Impact factor: 3.153

3.  Cancer survival through lifestyle change (CASTLE): a pilot study of weight loss.

Authors:  Melissa Nauta Harris; Damon L Swift; Valerie H Myers; Conrad P Earnest; Neil M Johannsen; Catherine M Champagne; Becky D Parker; Erma Levy; Katherine C Cash; Timothy S Church
Journal:  Int J Behav Med       Date:  2013-09

4.  Psychological and behavioural factors associated with long-term weight maintenance after a multidisciplinary treatment of uncomplicated obesity.

Authors:  Silvio Buscemi; Giovanni Castellini; John A Batsis; Valdo Ricca; Delia Sprini; Fabio Galvano; Giuseppe Grosso; Giuseppe Rosafio; Marzia Caravello; Giovam Battista Rini
Journal:  Eat Weight Disord       Date:  2013-12       Impact factor: 4.652

5.  Weight and Shape Concern Impacts Weight Gain Prevention in the SNAP Trial: Implications for Tailoring Intervention Delivery.

Authors:  KayLoni L Olson; Rebecca H Neiberg; Deborah F Tate; Katelyn R Garcia; Amy A Gorin; Cora E Lewis; Jessica Unick; Rena R Wing
Journal:  Obesity (Silver Spring)       Date:  2018-06-28       Impact factor: 5.002

6.  Design of the Rural LEAP randomized trial: An evaluation of extended-care programs for weight management delivered via group or individual telephone counseling.

Authors:  Michael G Perri; Aviva H Ariel-Donges; Meena N Shankar; Marian C Limacher; Michael J Daniels; David M Janicke; Kathryn M Ross; Linda B Bobroff; A Daniel Martin; Tiffany A Radcliff; Christie A Befort
Journal:  Contemp Clin Trials       Date:  2018-11-06       Impact factor: 2.226

7.  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

8.  Is information on genetic determinants of obesity helpful or harmful for obese people?--A randomized clinical trial.

Authors:  Winfried Rief; Matthias Conradt; Jan-Michael Dierk; Elisabeth Rauh; Pia Schlumberger; Anke Hinney; Johannes Hebebrand
Journal:  J Gen Intern Med       Date:  2007-09-19       Impact factor: 5.128

9.  Quantitative gastrointestinal and psychological traits associated with obesity and response to weight-loss therapy.

Authors:  Andres Acosta; Michael Camilleri; Andrea Shin; Maria I Vazquez-Roque; Johanna Iturrino; Duane Burton; Jessica O'Neill; Deborah Eckert; Alan R Zinsmeister
Journal:  Gastroenterology       Date:  2014-12-06       Impact factor: 22.682

10.  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
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