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Predicting short-term weight loss using four leading health behavior change theories

BACKGROUND: This study was conceived to analyze how exercise and weight management psychosocial variables, derived from several health behavior change theories, predict weight change in a short-term intervention. The theories under analysis were the Social Cognitive Theory, the Transtheoretical Mode...

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Autores principales: Palmeira, António L, Teixeira, Pedro J, Branco, Teresa L, Martins, Sandra S, Minderico, Cláudia S, Barata, José T, Serpa, Sidónio O, Sardinha, Luís B
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1868036/
https://www.ncbi.nlm.nih.gov/pubmed/17448248
http://dx.doi.org/10.1186/1479-5868-4-14
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author Palmeira, António L
Teixeira, Pedro J
Branco, Teresa L
Martins, Sandra S
Minderico, Cláudia S
Barata, José T
Serpa, Sidónio O
Sardinha, Luís B
author_facet Palmeira, António L
Teixeira, Pedro J
Branco, Teresa L
Martins, Sandra S
Minderico, Cláudia S
Barata, José T
Serpa, Sidónio O
Sardinha, Luís B
author_sort Palmeira, António L
collection PubMed
description BACKGROUND: This study was conceived to analyze how exercise and weight management psychosocial variables, derived from several health behavior change theories, predict weight change in a short-term intervention. The theories under analysis were the Social Cognitive Theory, the Transtheoretical Model, the Theory of Planned Behavior, and Self-Determination Theory. METHODS: Subjects were 142 overweight and obese women (BMI = 30.2 ± 3.7 kg/m(2); age = 38.3 ± 5.8y), participating in a 16-week University-based weight control program. Body weight and a comprehensive psychometric battery were assessed at baseline and at program's end. RESULTS: Weight decreased significantly (-3.6 ± 3.4%, p < .001) but with great individual variability. Both exercise and weight management psychosocial variables improved during the intervention, with exercise-related variables showing the greatest effect sizes. Weight change was significantly predicted by each of the models under analysis, particularly those including self-efficacy. Bivariate and multivariate analyses results showed that change in variables related to weight management had a stronger predictive power than exercise-specific predictors and that change in weight management self-efficacy was the strongest individual correlate (p < .05). Among exercise predictors, with the exception of self-efficacy, importance/effort and intrinsic motivation towards exercise were the stronger predictors of weight reduction (p < .05). CONCLUSION: The present models were able to predict 20–30% of variance in short-term weight loss and changes in weight management self-efficacy accounted for a large share of the predictive power. As expected from previous studies, exercise variables were only moderately associated with short-term outcomes; they are expected to play a larger explanatory role in longer-term results.
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spelling pubmed-18680362007-05-12 Predicting short-term weight loss using four leading health behavior change theories Palmeira, António L Teixeira, Pedro J Branco, Teresa L Martins, Sandra S Minderico, Cláudia S Barata, José T Serpa, Sidónio O Sardinha, Luís B Int J Behav Nutr Phys Act Research BACKGROUND: This study was conceived to analyze how exercise and weight management psychosocial variables, derived from several health behavior change theories, predict weight change in a short-term intervention. The theories under analysis were the Social Cognitive Theory, the Transtheoretical Model, the Theory of Planned Behavior, and Self-Determination Theory. METHODS: Subjects were 142 overweight and obese women (BMI = 30.2 ± 3.7 kg/m(2); age = 38.3 ± 5.8y), participating in a 16-week University-based weight control program. Body weight and a comprehensive psychometric battery were assessed at baseline and at program's end. RESULTS: Weight decreased significantly (-3.6 ± 3.4%, p < .001) but with great individual variability. Both exercise and weight management psychosocial variables improved during the intervention, with exercise-related variables showing the greatest effect sizes. Weight change was significantly predicted by each of the models under analysis, particularly those including self-efficacy. Bivariate and multivariate analyses results showed that change in variables related to weight management had a stronger predictive power than exercise-specific predictors and that change in weight management self-efficacy was the strongest individual correlate (p < .05). Among exercise predictors, with the exception of self-efficacy, importance/effort and intrinsic motivation towards exercise were the stronger predictors of weight reduction (p < .05). CONCLUSION: The present models were able to predict 20–30% of variance in short-term weight loss and changes in weight management self-efficacy accounted for a large share of the predictive power. As expected from previous studies, exercise variables were only moderately associated with short-term outcomes; they are expected to play a larger explanatory role in longer-term results. BioMed Central 2007-04-20 /pmc/articles/PMC1868036/ /pubmed/17448248 http://dx.doi.org/10.1186/1479-5868-4-14 Text en Copyright © 2007 Palmeira et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Palmeira, António L
Teixeira, Pedro J
Branco, Teresa L
Martins, Sandra S
Minderico, Cláudia S
Barata, José T
Serpa, Sidónio O
Sardinha, Luís B
Predicting short-term weight loss using four leading health behavior change theories
title Predicting short-term weight loss using four leading health behavior change theories
title_full Predicting short-term weight loss using four leading health behavior change theories
title_fullStr Predicting short-term weight loss using four leading health behavior change theories
title_full_unstemmed Predicting short-term weight loss using four leading health behavior change theories
title_short Predicting short-term weight loss using four leading health behavior change theories
title_sort predicting short-term weight loss using four leading health behavior change theories
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1868036/
https://www.ncbi.nlm.nih.gov/pubmed/17448248
http://dx.doi.org/10.1186/1479-5868-4-14
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