Web‐based Weight Management Programs in an Integrated Health Care Setting: A Randomized, Controlled Trial

Rothert, Kendra; Strecher, Victor J.; Doyle, Laurie A.; Caplan, William; Joyce, Jodi S.; Jimison, Holly; Karm, Lya; Mims, Adrienne; Roth, Mark A.

doi:10.1038/oby.2006.34

Cited by 158 publications

(273 citation statements)

References 14 publications

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“…A second limitation is the 47% response rate which is consistent with survey response rates in general that do not provide advance notice or incentives 39 and is similar or higher than other recent obesity treatment follow-up surveys. 40,41 Nonresponders were out from treatment for a longer period of time than responders and can be expected to have regained more weight. To deal with this problem of missing data, we used a conservative approach supported in the literature to estimate weight regain among nonresponders at a higher rate than among responders (0.3 kg per month compared to the 0.2 kg per month among responders).…”

Section: Discussionmentioning

confidence: 99%

Weight maintenance, behaviors and barriers among previous participants of a university-based weight control program

et al. 2007

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Objective: To examine weight loss maintenance among previous participants of a university-based behavioral weight management program and to compare behavioral strategies and perceived barriers between successful and unsuccessful maintainers. Method: Previous program participants (n ¼ 179) completed mailed surveys assessing current weight, weight control behaviors and perceived barriers to weight loss maintenance. Results: At 14.1 ± 10.8 months following completion of treatment, survey respondents were on average 12.6 ± 12.6 kg, or 11.3±10.7%, below baseline weight; 76.5% of respondents had successfully maintained weight, defined as maintaining a weight loss of at least 5% below baseline. Compared to unsuccessful maintainers, successful maintainers reported practicing four dietary and three physical activity weight control strategies more often and experiencing five barriers to healthy eating and exercise less often. After accounting for time since treatment and maximum weight loss while in treatment, the strongest correlates of successful weight loss maintenance were frequent exercise and perceived difficulty of weight management. Conclusions: Clinically meaningful weight loss maintenance was achieved by the majority of participants. Findings support the literature indicating that physical activity is one of the strongest predictors of successful weight loss maintenance. Findings also suggest that strategies to reduce the level of perceived effort required for long-term weight control may improve maintenance outcomes.

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Section: Discussionmentioning

confidence: 99%

Weight maintenance, behaviors and barriers among previous participants of a university-based weight control program

et al. 2007

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“…Table 2 shows details of the obesity treatment programs in each included study. To summarize the study-specific Webbased programs in terms of the role of the Internet, 16 studies [18][19][20][23][24][26][27][28][30][31][33][34][35][36][38][39] used the Internet as an adjunct to the non-Web-based obesity care support provided in both control and experimental groups. One study 25 used it as a substitute for face-to-face counseling.…”

Section: Data Synthesismentioning

confidence: 99%

Effect of web-based lifestyle modification on weight control: a meta-analysis

et al. 2011

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Objective: Web-based treatment programs are attractive in primary care because of their ability to reach numerous individuals at low cost. Our aim of this meta-analysis is to systematically review the weight loss or maintenance effect of the Internet component in obesity treatment programs. Methods: MEDLINE and EMBASE literature searches were conducted to identify studies investigating the effect of Web-based individualized advice on lifestyle modification on weight loss. Randomized controlled trials that consisted of a Web-user experimental and non-Web user control group were included. Weight changes in the experimental group in comparison with the control group were pooled with a random-effects model. Results: A total of 23 studies comprising 8697 participants were included. Overall, using the Internet had a modest but significant additional weight-loss effect compared with non-Web user control groups (À0.68 kg, P ¼ 0.03). In comparison with the control group, stratified analysis indicated that using the Internet as an adjunct to obesity care was effective (À1.00 kg, Po0.001), but that using it as a substitute for face-to-face support was unfavorable ( þ 1.27 kg, P ¼ 0.01). An additional effect on weight control was observed when the aim of using the Internet was initial weight loss (À1.01 kg; P ¼ 0.03), but was not observed when the aim was weight maintenance ( þ 0.68 kg; P ¼ 0.26). The relative effect was diminished with longer educational periods (P-trend ¼ 0.04) and was insignificant (À0.20 kg; P ¼ 0.75) in studies with educational periods of 12 months or more. Conclusion: The current meta-analysis indicates that the Internet component in obesity treatment programs has a modest effect on weight control. However, the effect was inconsistent, largely depending on the type of usage of the Internet or the period of its use.

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“…It has been estimated that among those over 13 years of age in Korea, 82.8% of males and 63.5% of females drink alcohol [29]. Reductions in body weight (4.2%) and in BMI (3.5%) were not as great as in some other studies probably because the initial body weights and BMIs were closer to the normal range to begin with [31,32].…”

Section: Discussionmentioning

confidence: 76%