scholarly journals Implementation of an Internet Weight Loss Program in a Worksite Setting

2016 ◽  
Vol 2016 ◽  
pp. 1-7 ◽  
Author(s):  
Kathryn M. Ross ◽  
Rena R. Wing

Background.Worksite wellness programs typically produce modest weight losses. We examined whether an efficacious Internet behavioral weight loss program could be successfully implemented in a worksite setting.Methods.Participants were 75 overweight or obese employees/dependents of a large healthcare system who were given access to a 12-week Internet-based, multicomponent behavioral weight loss program. Assessments occurred at baseline, Month 3 (end of intervention), and Month 6 (follow-up).Results.Retention was excellent (93% at Month 3 and 89% at Month 6). Intent-to-treat analyses demonstrated that participants lost an average (±SE) of-5.8±.60 kg from baseline to Month 3 and regained1.1±.31 kg from Month 3 to Month 6; overall, weight loss from baseline to Month 6 was-4.7±.71 kg,p<.001. Men lost more weight than women,p=.022, and individuals who had a college degree or higher lost more weight than those with less education,p=.005. Adherence to viewing lessons (8 of 12) and self-monitoring (83% of days) was excellent and significantly associated with weight loss,ps<.05.Conclusions.An Internet-based behavioral weight management intervention can be successfully implemented in a worksite setting and can lead to clinically significant weight losses. Given the low costs of offering this program, it could easily be widely disseminated.

2017 ◽  
Vol 24 (7) ◽  
pp. 870-887 ◽  
Author(s):  
Jessica Gokee LaRose ◽  
Deborah F Tate ◽  
Autumn Lanoye ◽  
Joseph L Fava ◽  
Elissa Jelalian ◽  
...  

Emerging adults are at high risk of obesity but behavioral weight loss programs do not meet their needs. Emerging adults ( N = 52, age = 22.3 ± 2 years, body mass index = 34.2 ± 5.5 kg/m2, 46.2% non-Hispanic White) were randomly assigned to one of three behavioral weight loss programs adapted based on formative work: face-to-face behavioral weight loss, web-based behavioral weight loss, or web plus optional community sessions (Hybrid). Assessments occurred at 0 and 3 months. Engagement and self-monitoring were highest in Hybrid. Intent-to-treat weight losses were −2.8 ± 2.9 percent in face-to-face behavioral weight loss, −2.2 ± 4.5 percent in web-based behavioral weight loss, and 4.8 ± 4.9 percent in Hybrid. Percent achieving ⩾5 percent weight loss was highest in Hybrid (63%). Findings suggest potential for adapted behavioral weight loss to promote engagement and weight loss in emerging adults.


2013 ◽  
Vol 11 (2) ◽  
pp. 86-92 ◽  
Author(s):  
Suzanne Phelan ◽  
Todd Hagobian ◽  
Anna Brannen ◽  
Ana Stewart ◽  
Brianna Schmid ◽  
...  

Pre-pregnancy obesity is a well-established risk factor for several adverse maternal and fetal outcomes, including gestational diabetes, hypertension, cesarean sections, and fetal macrosomia. Weight loss before pregnancy could help prevent such complications, but the feasibility of such an approach remains unknown. The current study examined the feasibility of a 3-month pre-pregnancy behavioral weight loss program in 12 overweight/obese women planning pregnancy. The 3 month program resulted in an average 5.4 ± 3.0 kg weight loss and significant improvements in self-monitoring, physical activity, eating and exercise self-efficacy, and healthy eating (p < 0.04). By the end of the 9 month follow-up, half of sample (n = 6) had conceived. Women reported significant increases in weekly or more frequent selfweighing (p < 0.0001), counting calories (p < 0.001), consuming fruit and vegetables (p = 0.007), and cutting out fat (p = 0.0001) and junk foods (p = 0.002). A lifestyle modification program to promote weight loss before pregnancy promoted clinically significant weight loss and appeared feasible.


2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
T. L. Carson ◽  
K. E. Eddings ◽  
R. A. Krukowski ◽  
S. J. Love ◽  
J. R. Harvey-Berino ◽  
...  

Research suggests that social networks, social support, and social influence are associated with weight trajectories among treatment- and non-treatment-seeking individuals. This study examined the impact of having a social contact who participated in the same group behavioral weight-control intervention in the absence of specific social support training on women engaged in a weight-loss program. Participants (n=92; 100% female; 54% black; mean age:46±10years; mean BMI:38±6) were grouped based upon whether or not they reported a social contact enrolled previously/concurrently in our behavioral weight-control studies. Primary outcomes were 6-month weight change and treatment adherence (session attendance and self-monitoring). Half of the participants (53%) indicated that they had a social contact; black women were more likely to report a social contact than white women (67.3% versus 39.5%;P<0.01). Among participants with a social contact, 67% reported at least one contact as instrumental in the decision to enroll in the program. Those with a contact lost more weight (5.9 versus 3.7 kg;P=0.04), attended more group sessions (74% versus 54%;P<0.01), and submitted more self-monitoring journals (69% versus 54%;P=0.01) than those without a contact. Participants' weight change was inversely associated with social contacts' weight change (P=0.04). There was no association between participant and contact’s group attendance or self-monitoring. Social networks may be a promising vehicle for recruiting and engaging women in a behavioral weight-loss program, particularly black women. The role of a natural social contact deserves further investigation.


2013 ◽  
Vol 32 (4) ◽  
pp. 439-446 ◽  
Author(s):  
Charles Swencionis ◽  
Judith Wylie-Rosett ◽  
Michelle R. Lent ◽  
Mindy Ginsberg ◽  
Christopher Cimino ◽  
...  

Author(s):  
Margaret Fahey ◽  
Robert C. Klesges ◽  
Mehmet Kocak ◽  
Leslie Gladney ◽  
Gerald W. Talcott ◽  
...  

BACKGROUND Feedback for participants’ self-monitoring is a crucial, and costly, component of technology-based weight loss interventions. Detailed examination of interventionist time when reviewing and providing feedback for online self-monitoring data is unknown. OBJECTIVE Study purpose was to longitudinally examine time counselors spent providing feedback on participant self-monitoring data (i.e., diet, physical activity, weight) in a 12-month technology-based weight loss intervention. We hypothesized that counselors would deliver feedback to participants more quickly over time. METHODS Time counselors (N=10) spent reviewing and providing feedback to participants via electronic mail (e-email) was longitudinally examined for all counselors across the three years of study implementation. Descriptives were observed for counselor feedback duration across counselors by 12 annual quarters (i.e., three-month periods). Differences in overall duration times by each consecutive annual quarter were analyzed using Wilcoxon-Mann-Whitney tests. RESULTS There was a decrease in counselor feedback duration from first to second quarter [Mean (M) = 53 to 46 minutes], and from second to third (M= 46 to 30). A trend suggested a decrease from third to fourth quarters (M = 30 to 26), but no changes were found in subsequent quarters. Consistent with hypothesis, counselors increased their efficiency in providing feedback. Across 12-months, mean time counselors needed to review participant self-monitoring and provide feedback decreased from 53 to 26 minutes. CONCLUSIONS Counselors needed increasingly less time to review online self-monitoring data and provide feedback after the initial nine months of study implementation. Results inform counselor costs for future technology-based behavioral weight loss interventions. For example, regardless of increasing counselor efficiency, 25-30 minutes per feedback message is a high cost for interventions. One possibility for reducing costs would be generating computer-automated feedback. CLINICALTRIAL NCT02063178


2018 ◽  
Author(s):  
Sherry Pagoto ◽  
Bengisu Tulu ◽  
Emmanuel Agu ◽  
Molly E Waring ◽  
Jessica L Oleski ◽  
...  

BACKGROUND Reviews of weight loss mobile apps have revealed they include very few evidence-based features, relying mostly on self-monitoring. Unfortunately, adherence to self-monitoring is often low, especially among patients with motivational challenges. One behavioral strategy that is leveraged in virtually every visit of behavioral weight loss interventions and is specifically used to deal with adherence and motivational issues is problem solving. Problem solving has been successfully implemented in depression mobile apps, but not yet in weight loss apps. OBJECTIVE This study describes the development and feasibility testing of the Habit app, which was designed to automate problem-solving therapy for weight loss. METHODS Two iterative single-arm pilot studies were conducted to evaluate the feasibility and acceptability of the Habit app. In each pilot study, adults who were overweight or obese were enrolled in an 8-week intervention that included the Habit app plus support via a private Facebook group. Feasibility outcomes included retention, app usage, usability, and acceptability. Changes in problem-solving skills and weight over 8 weeks are described, as well as app usage and weight change at 16 weeks. RESULTS Results from both pilots show acceptable use of the Habit app over 8 weeks with on average two to three uses per week, the recommended rate of use. Acceptability ratings were mixed such that 54% (13/24) and 73% (11/15) of participants found the diet solutions helpful and 71% (17/24) and 80% (12/15) found setting reminders for habits helpful in pilots 1 and 2, respectively. In both pilots, participants lost significant weight (P=.005 and P=.03, respectively). In neither pilot was an effect on problem-solving skills observed (P=.62 and P=.27, respectively). CONCLUSIONS Problem-solving therapy for weight loss is feasible to implement in a mobile app environment; however, automated delivery may not impact problem-solving skills as has been observed previously via human delivery. CLINICALTRIAL ClinicalTrials.gov NCT02192905; https://clinicaltrials.gov/ct2/show/NCT02192905 (Archived by WebCite at http://www.webcitation.org/6zPQmvOF2)


2012 ◽  
Vol 39 (3) ◽  
pp. 397-405 ◽  
Author(s):  
Lisa M. McAndrew ◽  
Melissa A. Napolitano ◽  
Leonard M. Pogach ◽  
Karen S. Quigley ◽  
Kerri Leh Shantz ◽  
...  

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