Effect of Internet Support on the Long‐Term Maintenance of Weight Loss

Harvey-Berino, Jean; Pintauro, Stephen J.; Buzzell, Paul; Gold, Elizabeth Casey

doi:10.1038/oby.2004.40

Cited by 248 publications

(256 citation statements)

References 34 publications

Supporting

Mentioning

247

Contrasting

Unclassified

Order By: Relevance

“…The way the subjects received the guidelines (by mail or internet) nor the kind of guidelines they received were related to WM. In this respect, Harvey-Berino et al 45,46 reported similar results. Comparing dietary disciplined subjects and activity-related disciplined subjects, dietary disciplined subjects showed significantly better WM after weight loss compared to activity-related disciplined subjects.…”

Section: Discussionsupporting

confidence: 72%

Categorical strategies based on subject characteristics of dietary restraint and physical activity, for weight maintenance

Vogels

Westerterp-Plantenga

2005

Int J Obes

View full text Add to dashboard Cite

OBJECTIVE:The aim of this study was to investigate the effect of categorical strategies based on subject-specific characteristics of dietary restraint and physical activity, on weight maintenance (WM) in overweight and obese subjects, after a very low calorie diet (VLCD). Furthermore, find predictors of WM that can be important in the context of obesity treatment. METHODS: In all, 120 subjects (age: 49.079.8 y, BMI 31.073.8 kg/m 2 ) followed a VLCD (2.1 MJ/day) for 6 weeks in a freeliving situation, followed by a period of 1 y WM. Body weight (BW), body composition, leptin concentration, dietary restraint and physical activity were determined right before (t0) and after (t1) the VLCD, after 3 months (t2) and after 1 y (t3). During WM, subjects were divided into four categories of WM guidelines (dietary, activity, diet þ activity, placebo), taking their capability measured during weight loss and their preference for particular guidelines into account. RESULTS: BW loss during VLCD was 7.073.1 kg. After 1 y follow-up, BW regain was 56.3755.0%, without significant differences between the four groups. With respect to measured capability during weight loss, subjects with an increased dietary restraint (F1 of the Three Factor Eating Questionnaire) had less BW regain than subjects with an increased physical activity (Baecke questionnaire) (35.5753.2 vs 68.5746.4%, Po0.05). Moreover, activity guidelines promoted WM in dietary disciplined subjects compared to activity-related disciplined subjects (%regain: 25.2 vs 74.3%, Po0.05). Subjects receiving guidelines that were opposite to their preference showed a better WM than subjects receiving preferred guidelines. After 1 y WM, 21 subjects were successful (o10% BW regain) and 99 unsuccessful (Z10% BW regain). At baseline, these groups were significantly different in BMI (resp. 32.774.9 vs 30.773.5 kg/m 2 , Po0.05), waist circumference (106.5714.0 vs 100.6711.2 cm, Po0.05) and fat mass (FM) (35.2710.6 vs 32.176.6%, P ¼ 0.06). Finally, successful subjects appeared to spare fat-free mass (FFM) to a greater extent than unsuccessful subjects. CONCLUSION: After weight loss, type of guidelines (dietary, activity, placebo) is not related to the magnitude of WM, whereas guidelines opposite to the subject's capability and preference are related. These only reach successful WM (490%) in originally dietary disciplined subjects who are supported by characteristics such as a relatively high baseline BMI, waist circumference and FM, together with the ability to spare FFM.

show abstract

Section: Discussionsupporting

confidence: 72%

Categorical strategies based on subject characteristics of dietary restraint and physical activity, for weight maintenance

Vogels

Westerterp-Plantenga

2005

Int J Obes

View full text Add to dashboard Cite

show abstract

“…While government-led telehealth initiatives tend to focus on video conferencing, a number of small studies and pilot projects delivering health services via the Internet have been reported in patients with breast cancer (21,22), asthma (23), chronic obstructive pulmonary disease (24,25), diabetes (26)(27)(28)(29)(30)(31)(32), lung transplantation (33), overweight (34)(35)(36)(37)(38)(39)(40), smokers (41), chronic heart failure (25,(42)(43)(44) and CVD (45)(46)(47)(48). These studies demonstrated that patients were willing to enter self-measured data online and communicate with health care providers via e-mail and/or chat/video conferencing.…”

Section: Discussionmentioning

confidence: 99%

Prevalence and characteristics of home Internet access in patients with cardiovascular disease from diverse geographical locations

Lear

Araki

Maric

et al. 2009

Canadian Journal of Cardiology

View full text Add to dashboard Cite

“…One study 25 used it as a substitute for face-to-face counseling. The remaining six studies 12,[21][22]29,32,37 investigated the effectiveness of the Internet as either an adjunct or substitute. In five studies, the aim of the lifestyle modification was weight maintenance, whereas it was initial weight loss in the remaining 18 studies.…”

Section: Data Synthesismentioning

confidence: 99%

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

et al. 2011

View full text Add to dashboard Cite

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.

show abstract

Effect of Internet Support on the Long‐Term Maintenance of Weight Loss

Cited by 248 publications

References 34 publications

Categorical strategies based on subject characteristics of dietary restraint and physical activity, for weight maintenance

Categorical strategies based on subject characteristics of dietary restraint and physical activity, for weight maintenance

Prevalence and characteristics of home Internet access in patients with cardiovascular disease from diverse geographical locations

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

Contact Info

Product

Resources

About