Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2018 Oct 18;4(6):545-553.
doi: 10.1002/osp4.304. eCollection 2018 Dec.

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

Affiliations

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

E Alexander et al. Obes Sci Pract. .

Abstract

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.

Keywords: Commercial weight‐loss program; dropout.

PubMed Disclaimer

Figures

Figure 1
Figure 1
Adjusted predicted probability of early dropout by several factors. Factors presented are weight‐loss failure, smoking status, presence of chronic conditions and meeting the website login goal. Weight‐loss failure defined as weight change ≥0% at the end of the first month. Meeting the website login goal defined as logging into the website at least 90 times during the first 3 months. Early dropout defined as participants who disengaged from the telephone coaching program by the end of month 2 by either failing to complete more than two coach calls or purposely exiting the program. Predicted probabilities calculated from the result of logistic regression model that includes all factors listed as well as adjustment for age and clustering by organization/employer. ‘*’ indicates a statistically significant difference from the comparator. CI, confidence interval; OR, odds ratio.

References

    1. The Diabetes Prevention Program Research . Achieving weight and activity goals among diabetes prevention program lifestyle participants. Obesity Research 2004; 12: 1426–1434. - PMC - PubMed
    1. Moroshko I, Brennan L, O'Brien P. Predictors of dropout in weight loss interventions: a systematic review of the literature. Obesity Reviews 2011; 12: 912–934. - PubMed
    1. Honas JJ, Early JL, Frederickson DD, O'Brien MS. Predictors of attrition in a large clinic‐based weight‐loss program. Obesity Research 2003; 11: 888–894. - PubMed
    1. Fontaine KR, Cheskin LJ. Self‐efficacy, attendance, and weight loss in obesity treatment. Addictive Behaviors 1997; 22: 567–570. - PubMed
    1. Neve M, Morgan PJ, Jones PR, Collins CE. Effectiveness of web‐based interventions in achieving weight loss and weight loss maintenance in overweight and obese adults: a systematic review with meta‐analysis. Obesity Reviews 2010; 11: 306–321. - PubMed

LinkOut - more resources