Impact of a workplace holiday weight gain prevention program

2019 ◽  
Vol 25 (3) ◽  
pp. 173-177 ◽  
Author(s):  
Mark G Wilson ◽  
Heather M Padilla ◽  
Lu Meng ◽  
Carmen N Daniel
Keyword(s):  
Weight Gain ◽  
State Government ◽  
Organizational Support ◽  
Prevention Program ◽  
Eating Behaviors ◽  
Weight Gain Prevention ◽  
Self Monitoring ◽  
Holiday Season ◽  
Average Worker ◽  
Workplace Setting

Background: The average worker gains 2–3 lb (0.9–1.4 kg) a year, about half of which is gained during the fall holiday season (Halloween through New Year’s). Aim: The aim of the study was to conduct a pilot test of a weight gain prevention program that was implemented in a workplace setting during the fall holiday season. Methods: 239 state government employees participated in a weight gain prevention program offered during the fall holiday season. The program was a 10-week, team-based program that consisted of self-monitoring, regular weigh-ins, a team challenge, and organizational support. Weight was measured at baseline, every two weeks during the program, and post-program. Results: Participants lost a significant amount of weight (from 196.7 lb/89.2 kg to 192.3 lb/87.2 kg) during the program. Positive changes were observed in physical activity and eating behaviors. Conclusions: This study demonstrated that a weight gain prevention program during a high risk period (fall holiday season) can be effective.

How can obese weight controllers minimize weight gain during the high risk holiday season? By self-monitoring very consistently.

1999 ◽  
Vol 18 (4) ◽  
pp. 364-368 ◽  
Author(s):  
Kerri N. Boutelle ◽  
Daniel S. Kirschenbaum ◽  
Raymond C. Baker ◽  
M. Ellen Mitchell
Keyword(s):  
Weight Gain ◽  
High Risk ◽  
Self Monitoring ◽  
Holiday Season

scholarly journals Smoking relapse and weight gain prevention program for postmenopausal weight-concerned women: A pilot study

2015 ◽  
Vol 18 ◽  
pp. 107-114 ◽  
Author(s):  
Amy L. Copeland ◽  
Megan A. McVay ◽  
Pamela D. Martin ◽  
Carla J. Rash ◽  
Darla E. Kendzor ◽  
...  
Keyword(s):  
Weight Gain ◽  
Pilot Study ◽  
Prevention Program ◽  
Weight Gain Prevention ◽  
Smoking Relapse

Who loses weight in a weight gain prevention program? A comparison of weight losers and weight maintainers at 3 years.

2021 ◽  
Author(s):  
Jacqueline F. Hayes ◽  
Gregory B. Russell ◽  
Deborah F. Tate ◽  
Mark A. Espeland ◽  
Jessica Gokee LaRose ◽  
...  
Keyword(s):  
Weight Gain ◽  
Prevention Program ◽  
Weight Gain Prevention

scholarly journals Examining Heterogeneity of Outcomes in a Weight Gain Prevention Program for Young Adults

Obesity ◽  
2020 ◽  
Vol 28 (3) ◽  
pp. 521-528
Author(s):  
Rena R. Wing ◽  
Gregory B. Russell ◽  
Deborah F. Tate ◽  
Mark A. Espeland ◽  
Jessica Gokee LaRose ◽  
...  
Keyword(s):  
Young Adults ◽  
Weight Gain ◽  
Prevention Program ◽  
Weight Gain Prevention

Behavioral and Cognitive Effects of a Worksite-Based Weight Gain Prevention Program: The NHF-NRG In Balance-Project

2009 ◽  
Vol 51 (12) ◽  
pp. 1437-1446 ◽  
Author(s):  
Lydia Kwak ◽  
Stef P. J. Kremers ◽  
Tommy L. S. Visscher ◽  
Marleen A. van Baak ◽  
Johannes Brug
Keyword(s):  
Weight Gain ◽  
Prevention Program ◽  
Weight Gain Prevention ◽  
Cognitive Effects

scholarly journals Effects of Intervention Characteristics on Willingness to Initiate a Weight Gain Prevention Program

2020 ◽  
Vol 34 (8) ◽  
pp. 837-847
Author(s):  
Megan A. McVay ◽  
Marissa L. Donahue ◽  
JeeWon Cheong ◽  
Joseph Bacon ◽  
Michael G. Perri ◽  
...  
Keyword(s):  
Physical Activity ◽  
Weight Gain ◽  
Financial Incentives ◽  
Program Effectiveness ◽  
Financial Incentive ◽  
Prevention Programs ◽  
Weight Gain Prevention ◽  
Behavioral Weight Loss ◽  
Self Monitoring ◽  
Behavioral Weight Loss Intervention

Purpose: To determine characteristics of weight gain prevention programs that facilitate engagement. Design: Randomized factorial experiment (5 × 2). Setting: Recruited nationally online. Participants: Adults aged 18 to 75 with body mass index ≥25 who decline a behavioral weight loss intervention (n = 498). Measures: Participants were randomly presented with one of 10 possible descriptions of hypothetical, free weight gain prevention programs that were all low dose and technology-based but differed in regard to 5 behavior change targets (self-weighing only; diet only; physical activity only; combined diet, physical activity, and self-weighing; or choice between diet, physical activity, and self-weighing targets) crossed with 2 financial incentive conditions (presence or absence of incentives for self-monitoring). Participants reported willingness to join the programs, perceived program effectiveness, and reasons for declining enrollment. Analysis: Logistic regression and linear regression to test effects of program characteristics offered on willingness to initiate programs and programs’ perceived effectiveness, respectively. Content analyses for open-ended text responses. Results: Participants offered the self-weighing-only programs were more willing to initiate than those offered the programs targeting all 3 behaviors combined (50% vs 36%; odds ratio [OR] = 1.79; 95% confidence interval [CI], 1.01-3.13). Participants offered the programs with financial incentives were more willing to initiate (50% vs 33%; OR = 2.08; 95% CI, 1.44-2.99) and anticipated greater intervention effectiveness (β = .34, P = .02) than those offered no financial incentives. Reasons for declining to initiate included specific program features, behavior targets, social aspects, and benefits. Conclusion: Targeting self-weighing and providing financial incentives for self-monitoring may result in greater uptake of weight gain prevention programs. Study Preregistration: https://osf.io/b9zfh , June 19, 2018.

scholarly journals Effect of the Holiday Season on Weight Gain: A Narrative Review

2017 ◽  
Vol 2017 ◽  
pp. 1-13 ◽  
Author(s):  
Rolando G. Díaz-Zavala ◽  
María F. Castro-Cantú ◽  
Mauro E. Valencia ◽  
Gerardo Álvarez-Hernández ◽  
Michelle M. Haby ◽  
...  
Keyword(s):  
College Students ◽  
Body Weight ◽  
Weight Gain ◽  
Body Fat ◽  
Increase Body Weight ◽  
Self Monitoring ◽  
Significant Weight Gain ◽  
Phone Calls ◽  
Prevent Weight Gain ◽  
Holiday Season

Several studies suggest that the holiday season, starting from the last week of November to the first or second week of January, could be critical to gaining weight. This study aims to review the literature to determine the effects of the holidays on body weight. In studies of adults, a significant weight gain was consistently observed during this period (0.4 to 0.9 kg,p<0.05). The only study in college students found an effect on body fat but not on weight (0.1 kg,p=0.71). The only study found in children did not show an effect on BMI percentile (−0.4%,p>0.05) during this period. Among individuals with obesity who attempt to lose weight, an increase in weight was observed (0.3 to 0.9 kg, significant in some but not in all studies), as well as increase in weight in motivated self-monitoring people (0.4 to 0.6%,p<0.001). Programs focused on self-monitoring during the holidays (phone calls and daily mailing) appeared to prevent weight gain, but information is limited. The holiday season seems to increase body weight in adults, even in participants seeking to lose weight and in motivated self-monitoring people, whereas in children, adolescents, and college students, very few studies were found to make accurate conclusions.

scholarly journals A Digital Behavioral Weight Gain Prevention Intervention in Primary Care Practice: Cost and Cost-Effectiveness Analysis (Preprint)

2018 ◽  
Author(s):  
Anirudh Krishnan ◽  
Eric Andrew Finkelstein ◽  
Erica Levine ◽  
Perry Foley ◽  
Sandy Askew ◽  
...  
Keyword(s):  
Weight Loss ◽  
Weight Gain ◽  
Cost Effectiveness ◽  
Black Women ◽  
Incremental Cost ◽  
Skills Training ◽  
Weight Gain Prevention ◽  
Post Intervention ◽  
Self Monitoring ◽  
Effectiveness Analysis

BACKGROUND Obesity is one of the largest drivers of health care spending but nearly half of the population with obesity demonstrate suboptimal readiness for weight loss treatment. Black women are disproportionately likely to have both obesity and limited weight loss readiness. However, they have been shown to be receptive to strategies that prevent weight gain. OBJECTIVE The aim of this study was to evaluate the costs and cost-effectiveness of a digital weight gain prevention intervention (Shape) for black women. Shape consisted of adaptive telephone-based coaching by health system personnel, a tailored skills training curriculum, and patient self-monitoring delivered via a fully automated interactive voice response system. METHODS A cost and cost-effectiveness analysis based on a randomized clinical trial of the Shape intervention was conducted from the payer perspective. Costs included those of delivering the program to 91 intervention participants in the trial and were summarized by program elements: self-monitoring, skills training, coaching, and administration. Effectiveness was measured in quality-adjusted life years (QALYs). The primary outcome was the incremental cost per QALY of Shape relative to usual care. RESULTS Shape cost an average of US $758 per participant. The base-case model in which quality of life benefits decay linearly to zero 5 years post intervention cessation, generated an incremental cost-effectiveness ratio (ICER) of US $55,264 per QALY. Probabilistic sensitivity analyses suggest an ICER below US $50,000 per QALY and US $100,000 per QALY in 39% and 98% of simulations, respectively. Results are highly sensitive to durability of benefits, rising to US $165,730 if benefits end 6 months post intervention. CONCLUSIONS Results suggest that the Shape intervention is cost-effective based on established benchmarks, indicating that it can be a part of a successful strategy to address the nation’s growing obesity epidemic in low-income at-risk communities.

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