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Early dropout predictive factors in obesity treatment
Diet attrition and failure of long term treatment are very frequent in obese patients. This study aimed to identify pre-treatment variables determining dropout and to customise the characteristics of those most likely to abandon the program before treatment, thus making it possible to modify the the...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Korean Nutrition Society and the Korean Society of Community Nutrition
2014
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3944162/ https://www.ncbi.nlm.nih.gov/pubmed/24611111 http://dx.doi.org/10.4162/nrp.2014.8.1.94 |
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author | Michelini, Ilaria Falchi, Anna Giulia Muggia, Chiara Grecchi, Ilaria Montagna, Elisabetta De Silvestri, Annalisa Tinelli, Carmine |
author_facet | Michelini, Ilaria Falchi, Anna Giulia Muggia, Chiara Grecchi, Ilaria Montagna, Elisabetta De Silvestri, Annalisa Tinelli, Carmine |
author_sort | Michelini, Ilaria |
collection | PubMed |
description | Diet attrition and failure of long term treatment are very frequent in obese patients. This study aimed to identify pre-treatment variables determining dropout and to customise the characteristics of those most likely to abandon the program before treatment, thus making it possible to modify the therapy to increase compliance. A total of 146 outpatients were consecutively enrolled; 73 patients followed a prescriptive diet while 73 followed a novel brief group Cognitive Behavioural Treatment (CBT) in addition to prescriptive diet. The two interventions lasted for six months. Anthropometric, demographic, psychological parameters and feeding behaviour were assessed, the last two with the Italian instrument VCAO Ansisa; than, a semi-structured interview was performed on motivation to lose weight. To identify the baseline dropout risk factors among these parameters, univariate and multivariate logistic models were used. Comparison of the results in the two different treatments showed a higher attrition rate in CBT group, despite no statistically significant difference between the two treatment arms (P = 0.127). Dropout patients did not differ significantly from those who did not dropout with regards to sex, age, Body Mass Index (BMI), history of cycling, education, work and marriage. Regardless of weight loss, the most important factor that determines the dropout appears to be a high level of stress revealed by General Health Questionnaire-28 items (GHQ-28) score within VCAO test. The identification of hindering factors during the assessment is fundamental to reduce the dropout risk. For subjects at risk, it would be useful to dedicate a stress management program before beginning a dietary restriction. |
format | Online Article Text |
id | pubmed-3944162 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | The Korean Nutrition Society and the Korean Society of Community Nutrition |
record_format | MEDLINE/PubMed |
spelling | pubmed-39441622014-03-07 Early dropout predictive factors in obesity treatment Michelini, Ilaria Falchi, Anna Giulia Muggia, Chiara Grecchi, Ilaria Montagna, Elisabetta De Silvestri, Annalisa Tinelli, Carmine Nutr Res Pract Diet attrition and failure of long term treatment are very frequent in obese patients. This study aimed to identify pre-treatment variables determining dropout and to customise the characteristics of those most likely to abandon the program before treatment, thus making it possible to modify the therapy to increase compliance. A total of 146 outpatients were consecutively enrolled; 73 patients followed a prescriptive diet while 73 followed a novel brief group Cognitive Behavioural Treatment (CBT) in addition to prescriptive diet. The two interventions lasted for six months. Anthropometric, demographic, psychological parameters and feeding behaviour were assessed, the last two with the Italian instrument VCAO Ansisa; than, a semi-structured interview was performed on motivation to lose weight. To identify the baseline dropout risk factors among these parameters, univariate and multivariate logistic models were used. Comparison of the results in the two different treatments showed a higher attrition rate in CBT group, despite no statistically significant difference between the two treatment arms (P = 0.127). Dropout patients did not differ significantly from those who did not dropout with regards to sex, age, Body Mass Index (BMI), history of cycling, education, work and marriage. Regardless of weight loss, the most important factor that determines the dropout appears to be a high level of stress revealed by General Health Questionnaire-28 items (GHQ-28) score within VCAO test. The identification of hindering factors during the assessment is fundamental to reduce the dropout risk. For subjects at risk, it would be useful to dedicate a stress management program before beginning a dietary restriction. The Korean Nutrition Society and the Korean Society of Community Nutrition 2014-02 2014-01-29 /pmc/articles/PMC3944162/ /pubmed/24611111 http://dx.doi.org/10.4162/nrp.2014.8.1.94 Text en ©2014 The Korean Nutrition Society and the Korean Society of Community Nutrition http://creativecommons.org/licenses/by-nc/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Michelini, Ilaria Falchi, Anna Giulia Muggia, Chiara Grecchi, Ilaria Montagna, Elisabetta De Silvestri, Annalisa Tinelli, Carmine Early dropout predictive factors in obesity treatment |
title | Early dropout predictive factors in obesity treatment |
title_full | Early dropout predictive factors in obesity treatment |
title_fullStr | Early dropout predictive factors in obesity treatment |
title_full_unstemmed | Early dropout predictive factors in obesity treatment |
title_short | Early dropout predictive factors in obesity treatment |
title_sort | early dropout predictive factors in obesity treatment |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3944162/ https://www.ncbi.nlm.nih.gov/pubmed/24611111 http://dx.doi.org/10.4162/nrp.2014.8.1.94 |
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