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Is drop-out from obesity treatment a predictable and preventable event?

BACKGROUND: Attrition is an important but understudied issue that plays a vital role in the successful treatment of obesity. To date, most studies focusing on attrition rates and/or its predictors have been based on pretreatment data routinely collected for other purposes. Our study specifically aim...

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Autores principales: Colombo, Ottavia, Ferretti, Virginia Valeria, Ferraris, Cinzia, Trentani, Claudia, Vinai, Piergiuseppe, Villani, Simona, Tagliabue, Anna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3914843/
https://www.ncbi.nlm.nih.gov/pubmed/24490952
http://dx.doi.org/10.1186/1475-2891-13-13
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author Colombo, Ottavia
Ferretti, Virginia Valeria
Ferraris, Cinzia
Trentani, Claudia
Vinai, Piergiuseppe
Villani, Simona
Tagliabue, Anna
author_facet Colombo, Ottavia
Ferretti, Virginia Valeria
Ferraris, Cinzia
Trentani, Claudia
Vinai, Piergiuseppe
Villani, Simona
Tagliabue, Anna
author_sort Colombo, Ottavia
collection PubMed
description BACKGROUND: Attrition is an important but understudied issue that plays a vital role in the successful treatment of obesity. To date, most studies focusing on attrition rates and/or its predictors have been based on pretreatment data routinely collected for other purposes. Our study specifically aims at identifying the predictors of drop-out focusing on empirically or theoretically-based factors. METHODS: We conducted a retrospective observational study in an academic outpatient clinical nutrition service in Pavia, Italy. We examined a total of 98 adult obese patients (36 males, 62 females) who underwent a 6-month dietary behavioral weight-loss treatment at our Center. Pre-treatment and treatment-related variables were collected or calculated from clinical charts in order to discriminate those subjects who completed treatment from those who abandoned it before its completion. Multivariable regression analysis was used to identify the independent predictors of drop-out. RESULTS: The drop-out rates were 21% at 1 month and 57% at 6 months. Compared with completers, noncompleters were significantly younger in terms of age at first dieting attempt (24.0 ± 10.7 vs. 31.3 ± 11.2 years, P = 0.005), had lower diastolic blood pressure (87.8 ± 9.7 vs. 92.7 ± 11.4 mmHg, P = 0.022), had a lower baseline body fat percentage (38.5 ± 6.4 vs. 41.2 ± 4.4% weight, P = 0.015), and had a lower percentage of early weight loss (-1.8 ± 1.8% vs. -3.1 ± 2.1%, P = 0.035). Moreover, noncompleters significantly differed from completers with regard to type of referral (34.1% vs. 53.3% sent by a physician, P = 0.036) and SCL-90 anger-hostility subscale (0.83 ± 0.72 vs. 0.53 ± 0.51, P = 0.022). A multivariable logistic regression analysis including pre-treatment variables showed that body fat percentage (P = 0.030) and SCL-90 anger-hostility subscale (P = 0.021) were independently associated with attrition. In a multivariable model considering both pre-treatment and treatment-related factors, attrition was found to be independently related to the age at first dieting attempt (P = 0.016) and the achievement of early weight loss (P = 0.029). CONCLUSIONS: Our data confirm that psychopathological tracts, early dieting attempts, and a poor initial treatment response are key independent predictors of drop-out from obesity treatment.
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spelling pubmed-39148432014-02-06 Is drop-out from obesity treatment a predictable and preventable event? Colombo, Ottavia Ferretti, Virginia Valeria Ferraris, Cinzia Trentani, Claudia Vinai, Piergiuseppe Villani, Simona Tagliabue, Anna Nutr J Research BACKGROUND: Attrition is an important but understudied issue that plays a vital role in the successful treatment of obesity. To date, most studies focusing on attrition rates and/or its predictors have been based on pretreatment data routinely collected for other purposes. Our study specifically aims at identifying the predictors of drop-out focusing on empirically or theoretically-based factors. METHODS: We conducted a retrospective observational study in an academic outpatient clinical nutrition service in Pavia, Italy. We examined a total of 98 adult obese patients (36 males, 62 females) who underwent a 6-month dietary behavioral weight-loss treatment at our Center. Pre-treatment and treatment-related variables were collected or calculated from clinical charts in order to discriminate those subjects who completed treatment from those who abandoned it before its completion. Multivariable regression analysis was used to identify the independent predictors of drop-out. RESULTS: The drop-out rates were 21% at 1 month and 57% at 6 months. Compared with completers, noncompleters were significantly younger in terms of age at first dieting attempt (24.0 ± 10.7 vs. 31.3 ± 11.2 years, P = 0.005), had lower diastolic blood pressure (87.8 ± 9.7 vs. 92.7 ± 11.4 mmHg, P = 0.022), had a lower baseline body fat percentage (38.5 ± 6.4 vs. 41.2 ± 4.4% weight, P = 0.015), and had a lower percentage of early weight loss (-1.8 ± 1.8% vs. -3.1 ± 2.1%, P = 0.035). Moreover, noncompleters significantly differed from completers with regard to type of referral (34.1% vs. 53.3% sent by a physician, P = 0.036) and SCL-90 anger-hostility subscale (0.83 ± 0.72 vs. 0.53 ± 0.51, P = 0.022). A multivariable logistic regression analysis including pre-treatment variables showed that body fat percentage (P = 0.030) and SCL-90 anger-hostility subscale (P = 0.021) were independently associated with attrition. In a multivariable model considering both pre-treatment and treatment-related factors, attrition was found to be independently related to the age at first dieting attempt (P = 0.016) and the achievement of early weight loss (P = 0.029). CONCLUSIONS: Our data confirm that psychopathological tracts, early dieting attempts, and a poor initial treatment response are key independent predictors of drop-out from obesity treatment. BioMed Central 2014-02-03 /pmc/articles/PMC3914843/ /pubmed/24490952 http://dx.doi.org/10.1186/1475-2891-13-13 Text en Copyright © 2014 Colombo 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. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Colombo, Ottavia
Ferretti, Virginia Valeria
Ferraris, Cinzia
Trentani, Claudia
Vinai, Piergiuseppe
Villani, Simona
Tagliabue, Anna
Is drop-out from obesity treatment a predictable and preventable event?
title Is drop-out from obesity treatment a predictable and preventable event?
title_full Is drop-out from obesity treatment a predictable and preventable event?
title_fullStr Is drop-out from obesity treatment a predictable and preventable event?
title_full_unstemmed Is drop-out from obesity treatment a predictable and preventable event?
title_short Is drop-out from obesity treatment a predictable and preventable event?
title_sort is drop-out from obesity treatment a predictable and preventable event?
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3914843/
https://www.ncbi.nlm.nih.gov/pubmed/24490952
http://dx.doi.org/10.1186/1475-2891-13-13
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