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Factors associated with early dropout in an employer‐based commercial weight‐loss program

OBJECTIVE: Minimizing program dropout is essential for weight‐loss success, but factors that influence dropout among commercial programs are unclear. This study's objective was to determine factors associated with early dropout in a commercial weight‐loss program. METHODS: A retrospective analy...

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Autores principales: Alexander, E., Tseng, E., Durkin, N., Jerome, G. J., Dalcin, A., Appel, L. J., Clark, J. M., Gudzune, K. A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6298204/
https://www.ncbi.nlm.nih.gov/pubmed/30574348
http://dx.doi.org/10.1002/osp4.304
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author Alexander, E.
Tseng, E.
Durkin, N.
Jerome, G. J.
Dalcin, A.
Appel, L. J.
Clark, J. M.
Gudzune, K. A.
author_facet Alexander, E.
Tseng, E.
Durkin, N.
Jerome, G. J.
Dalcin, A.
Appel, L. J.
Clark, J. M.
Gudzune, K. A.
author_sort Alexander, E.
collection PubMed
description OBJECTIVE: Minimizing program dropout is essential for weight‐loss success, but factors that influence dropout among commercial programs are unclear. This study's objective was to determine factors associated with early dropout in a commercial weight‐loss program. METHODS: A retrospective analysis of a remotely delivered, employer‐based commercial program from 2013 to 2016 was conducted. The dependent variable was ‘early dropout’, defined as enrollees who disengaged from telephone coaching by month 2's end. Independent variables included demographics, program website engagement and early weight change. Multivariate logistic regression analyses were used to assess for differences in early dropout by several factors, adjusted for employer clustering. RESULTS: Of the 5,274 participants, 26.8% dropped out early. Having ≥1 chronic condition (odds ratio [OR] 1.41, p < 0.001) and ‘weight‐loss failure’ defined as ≥0% weight change at month 1's end (OR 1.86, p < 0.001) had significantly increased odds of early dropout. Increasing age by 10‐year intervals (OR 0.90, p = 0.002) and ‘meeting the website login goal’ defined as ≥90 logins in 3 months (OR 0.13, p < 0.001) significantly decreased the odds of early dropout. CONCLUSIONS: Presence of comorbidities, less online engagement and weight‐loss failure were associated with early dropout in a commercial program. Strategies to prevent dropout among high‐risk participants, such as increased support or program tailoring, should be developed and tested.
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spelling pubmed-62982042018-12-20 Factors associated with early dropout in an employer‐based commercial weight‐loss program Alexander, E. Tseng, E. Durkin, N. Jerome, G. J. Dalcin, A. Appel, L. J. Clark, J. M. Gudzune, K. A. Obes Sci Pract Original Articles OBJECTIVE: Minimizing program dropout is essential for weight‐loss success, but factors that influence dropout among commercial programs are unclear. This study's objective was to determine factors associated with early dropout in a commercial weight‐loss program. METHODS: A retrospective analysis of a remotely delivered, employer‐based commercial program from 2013 to 2016 was conducted. The dependent variable was ‘early dropout’, defined as enrollees who disengaged from telephone coaching by month 2's end. Independent variables included demographics, program website engagement and early weight change. Multivariate logistic regression analyses were used to assess for differences in early dropout by several factors, adjusted for employer clustering. RESULTS: Of the 5,274 participants, 26.8% dropped out early. Having ≥1 chronic condition (odds ratio [OR] 1.41, p < 0.001) and ‘weight‐loss failure’ defined as ≥0% weight change at month 1's end (OR 1.86, p < 0.001) had significantly increased odds of early dropout. Increasing age by 10‐year intervals (OR 0.90, p = 0.002) and ‘meeting the website login goal’ defined as ≥90 logins in 3 months (OR 0.13, p < 0.001) significantly decreased the odds of early dropout. CONCLUSIONS: Presence of comorbidities, less online engagement and weight‐loss failure were associated with early dropout in a commercial program. Strategies to prevent dropout among high‐risk participants, such as increased support or program tailoring, should be developed and tested. John Wiley and Sons Inc. 2018-10-18 /pmc/articles/PMC6298204/ /pubmed/30574348 http://dx.doi.org/10.1002/osp4.304 Text en © 2018 The Authors. Obesity Science & Practice published by John Wiley & Sons Ltd, World Obesity and The Obesity Society. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Original Articles
Alexander, E.
Tseng, E.
Durkin, N.
Jerome, G. J.
Dalcin, A.
Appel, L. J.
Clark, J. M.
Gudzune, K. A.
Factors associated with early dropout in an employer‐based commercial weight‐loss program
title Factors associated with early dropout in an employer‐based commercial weight‐loss program
title_full Factors associated with early dropout in an employer‐based commercial weight‐loss program
title_fullStr Factors associated with early dropout in an employer‐based commercial weight‐loss program
title_full_unstemmed Factors associated with early dropout in an employer‐based commercial weight‐loss program
title_short Factors associated with early dropout in an employer‐based commercial weight‐loss program
title_sort factors associated with early dropout in an employer‐based commercial weight‐loss program
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6298204/
https://www.ncbi.nlm.nih.gov/pubmed/30574348
http://dx.doi.org/10.1002/osp4.304
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