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Long-term retention in an employer-based, commercial weight-loss programme.
- Source :
-
Clinical obesity [Clin Obes] 2019 Feb; Vol. 9 (1), pp. e12284. Date of Electronic Publication: 2018 Sep 24. - Publication Year :
- 2019
-
Abstract
- The aim of this study is to examine factors associated with long-term retention in a commercial weight-loss programme. We conducted a retrospective analysis of an employer-based, commercial programme from 2013 to 2016. Our dependent variable was 'long-term retention', defined as continuously enrolled participants who actively engaged through coach calls at 6 and 12 months. Independent variables included baseline demographics, programme engagement and weight change. We conducted multivariate logistic regression analyses assessing for differences in long-term retention by several factors, adjusted for employer clustering. Overall, 68.3% were retained at 6% and 45.9% at 12 months. Greater number of coach calls and website logins during the first 3 months significantly increased the odds of long-term retention, while having chronic conditions significantly decreased the odds. Weight-loss success (≥5% loss at 6 months) was significantly associated with increased odds of retention (12-month: odds ratio [OR] 2.80, P < 0.001), while early weight-loss failure (≥0% weight change at 1 month) significantly decreased odds of retention (12-month: OR 0.66, P = 0.008). In an employer-based, commercial weight loss programme, greater early programme engagement was associated with long-term retention. Given these programmes' popularity and potential reach, our results could be used to develop and test strategies designed to improve retention in commercial weight-loss programmes.<br /> (© 2018 World Obesity Federation.)
- Subjects :
- Adult
Body Mass Index
Chronic Disease
Female
Humans
Male
Middle Aged
Obesity
Odds Ratio
Retrospective Studies
Smoking
Weight Loss
Weight Reduction Programs methods
Occupational Health Services statistics & numerical data
Retention in Care statistics & numerical data
Weight Reduction Programs statistics & numerical data
Subjects
Details
- Language :
- English
- ISSN :
- 1758-8111
- Volume :
- 9
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Clinical obesity
- Publication Type :
- Academic Journal
- Accession number :
- 30248246
- Full Text :
- https://doi.org/10.1111/cob.12284