Web-based Weight Loss Research Articles

Baseline sociodemographic characteristics of participants and dropout in Web-based weight reduction program in Serbia

Baseline sociodemographic characteristics of participants and dropout in Web-based weight reduction program in Serbia

Do Modifiable Cardiovascular Risk Factors Differ By Rural Classification in Women Who Enroll in a Weight Loss Intervention?

If clinicians and researchers are aware of specific cardiovascular risks associated with women's rural status, whether it be large or small/isolated rural areas, it may help in developing more relevant rural resources. The purpose of this study was to examine whether there were differences in modifiable cardiovascular risk factors of overweight and obese rural women living in large or small/isolated rural areas. This secondary analysis examined baseline cross-sectional data from the "Web-based Weight Loss and Weight Maintenance Intervention for Older Rural Women" clinical trial. Analysis included data from 299 rural Midwestern women, ages 40-69 years with a baseline body mass index of 28-45 kg/m2, who provided rural classification data and were randomized into groups. Demographic and biomarker baseline data were used. Chi-square and independent t-tests were used for data analyses. There are no significant differences found in overweight and obese women with cardiovascular risk factors when compared to rural classification, with one exception. Total cholesterol was associated with rural classification (p=0.047), where women living in large rural areas were more likely to have elevated total cholesterol levels (≥240 mg/dL) compared to women living in small/isolated areas (18.5% vs. 10.0%, respectively). Demographic characteristics such as age and education demonstrated no significant differences by rural classification; however, the majority of women in this study were of high socioeconomic status. Although this secondary analysis found that rural women have similar cardiovascular risk factors and demographic characteristics, this study highlights the need for clinicians to carefully consider the rural community characteristics for primary prevention.

Monitoring health and dietary behaviour during participation in an online lifestyle program

study evaluated the implementation, acceptability and preliminary efficacy of an embedded video call (VC) platform and dietitian consultations to the ClickFit weight loss program. Methods: Initially participants were randomly allocated to one of two groups: (1) 6-week ClickFit program (CF only) or (2) 6-week ClickFit program+ two dietitian video consultations (CF + VC). Early technical issues with the VC platform resulted in inconsistent use. Therefore after the first 10 participants the remainder were allocated to the CF +VC group. Clinical and behavioural variables were assessed a baseline and following program completion. Process evaluation was also undertaken. Results: Eighteen participants (n = 5 CF only; n = 13 CF +VC) commenced the study (aged 21—60 years; 72% female, BMI 28.1± 2.2 kg/m2), with two withdrawals (CF + VC group). Within-group changes in weight and waist circumference were significant for CF + VC completers (−2.1± 1.9 kg and −4.1± 3.6 cm; p < 0.01) compared to CF only (−2.3± 2.4 kg and −1.5± 3.6 cm). Significant between-group improvements were found for the CF +VC group in overall diet quality and vegetable intake. For the CF +VC group, 70% of dietitian consultations occurred within the VC platform, with 1.8± 0.4 sessions/participant. Most (n = 10) agreed the consultations provided useful information on changing behaviours and improving confidence for weight loss. Conclusions: The addition of dietitian video consultations to a web-based weight loss program was acceptable and demonstrated preliminary efficacy over a 6 week period. The combination of an online program with tailored dietetic video support may address the logistical and systemic challenges associated with access to in-person obesity services. A large trial over a longer duration is required to determine the effectiveness of this treatment strategy for weight management. Funding: This project was funded by a TechVoucher from NSW Trade and Investment and a co-contribution from SP Health Co Pty Ltd.

Dietitian Connect: A feasibility study to evaluate the addition of video consultations with a dietitian to a web-based weight loss program

Dietitian Connect: A feasibility study to evaluate the addition of video consultations with a dietitian to a web-based weight loss program

A Web-Based Weight Loss Programme Including Breakfast Cereals Results in Greater Loss of Body Mass than a Standardised Web-Based Programme in a Randomised Controlled Trial

Objective: To test the hypothesis that promoting breakfast cereal consumption, as part of a web-based programme, results in loss of body mass. Methods: Single centre, single blind, randomised parallel study. Test group followed a fully interactive website (B) with ‘prescribed' breakfast cereals. Control group followed website (A) giving standard advice on weight loss. Study site visits at 0, 4, 12 and 24 weeks for measurements of height, weight, skinfolds, body fat, waist and hip circumference. 180 subjects were randomly allocated to two equal groups. Subjects were in good health and aged 19-50 years, with a BMI ranging from 25-40 kg/m². At baseline there was no difference in mean age or BMI between the two groups. Results: The percentage change in body mass loss was greater when following website B than website A (n = 90; ITT repeated measures p = 0.013). For completers (website A: n = 62, website B: n = 64), the percentage change in body mass loss was also greater for website B than website A (repeated measures p = 0.023). Conclusion: The advice and motivation offered by an interactive website, including provision and consumption of breakfast cereals, results in significantly greater loss of body mass compared to the use of a standard website. It is not possible to discern which of the three factors is responsible.

The change in eating behaviors in a Web-based weight loss program: a longitudinal analysis of study completers.

BackgroundEating behaviors are essential components in weight loss programs, but limited research has explored eating behaviors in Web-based weight loss programs.ObjectivesThe aim was to evaluate an interactive Web-based weight loss program on eating behaviors using the 18-item Three-Factor Eating Questionnaire Revised (TFEQ-R18) which measures uncontrolled eating, emotional eating, and cognitive restrained eating. Our Web-based weight loss program is comprised of information about healthy lifestyle choices, weekly chats with experts, social networking features, databases for recipe searches, and features allowing members to self-report and track their weight, physical activity, and dietary intake on the website.MethodsOn registering for the weight loss program, 23,333 members agreed to take part in the research study. The participants were then asked to complete the TFEQ-R18 questionnaire at baseline and after 3 and 6 months of participation. All data collection was conducted online, with no face-to-face contact. To study changes in TFEQ-R18 eating behaviors we restricted our study to those members who completed all 3 TFEQ-R18 questionnaires. These participants were defined as “completers” and the remaining as “noncompleters.” The relationships between sex, change in eating behaviors, and total weight loss were studied using repeated measures ANOVA and Pearson correlation coefficient.ResultsIn total, 22,800 individuals participated (females: 19,065/22,800, 83.62%; mean age 39.6, SD 11.4 years; BMI 29.0 kg/m2; males: 3735/22,800, 16.38%; mean age 43.2, SD 11.7 years; BMI 30.8 kg/m2). Noncompleters (n=22,180) were younger and reported a lower score of uncontrolled eating and a higher score of cognitive restrained eating. Over time, completers (n=620) decreased their uncontrolled eating score (from 56.3 to 32.0; P<.001) and increased their cognitive restrained eating (from 50.6 to 62.9; P<.001). Males decreased their emotional eating (from 57.2 to 35.9; P<.001), but no significant change was found among females. The baseline cognitive restrained eating score was significantly and positively associated with weight loss for completers in both men (P=.02) and women (P=.002).ConclusionsTo our knowledge, this is the largest TFEQ sample that has been documented. This Web-based weight loss intervention suggests that eating behaviors (cognitive restrained eating, uncontrolled eating, and emotional eating) measured by TFEQ-R18 were significantly changed during 6 months of participation. Our findings indicate differences in eating behaviors with respect to sex, but should be interpreted with caution because attrition was high.

The Evaluation of a Web-Based Weight Loss Program Among Military Personnel at CFB Halifax

Developing effective, scalable and low-cost interventions to support healthy lifestyle changes remains a challenge.

EVALUATING THE EFFECTIVENESS OF A WEB-BASED WEIGHT LOSS PROGRAM AMONG CANADIAN MILITARY PERSONNEL

Although the majority of Canadian adults are overweight and/or sedentary, developing effective interventions to support the adoption of healthier lifestyles remains a challenge. We evaluated the acceptability and effectiveness of a web-based weight loss program on Canadian Forces Base (CFB) Halifax. The program promoted increased physical activity, healthy eating, and low-Glycemic Index (low-GI) energy bars to replace a daily meal or snack.

Development and Implementation of an 8 Week Web-Based Weight Loss Program for Employees

Development and Implementation of an 8 Week Web-Based Weight Loss Program for Employees

Utility of a web-based weight loss program with auto-extraction of behavioural objectives and recording of daily weight and steps in pre-obese outpatients.

The epidemic of obesity is now a major public health concern in many parts of the world. Face-to-face tailored lifestyle modification therapy is one of the major approaches used for weight loss. However, the lack of time for multiple visits and the lack of resources for administering therapy hinder its implementation. We administered a web-based weight loss program for obese patients from July 2010 to January 2012 that required only 2 personal interviews over 6 months. The program used a system of auto-extraction of behavioural objectives and auto recording of daily weight and number of steps taken. The subjects included 3 obese men (mean age, 35.7 ± 2.3 years; mean body mass index (BMI), 30.4 ± 0.8 kg/m²) and 17 obese women (mean age, 39.3 ± 9.5 years; mean BMI, 28.1 ± 1.8 kg/m2) who volunteered to participate in this weight loss program. Weight loss achieved through this program was significant (mean, 2.7%, p=0.047). Abdominal visceral fat area (VFA) decreased significantly (mean, 12.6%, p=0.017), and the serum cholinesterase and alanine aminotransferase levels improved (mean, 33 U/L, p=0.003; mean, 7 IU/L, p=0.033 respectively). Metabolic syndrome criteria number had a tendency to decrease. Dietary and nutrient intake levels on the food frequency questionnaire improved. Weight loss ratio after 6 months and initial weight loss ratio were strongly significantly correlated. A web-based weight loss program with auto-extraction of behavioural objectives and recording of daily weight and steps can achieve weight loss, as determined by VFA reduction, on low manpower.

Design and implementation of a randomized controlled social and mobile weight loss trial for young adults (project SMART)

PurposeTo describe the theoretical rationale, intervention design, and clinical trial of a two-year weight control intervention for young adults deployed via social and mobile media. MethodsA total of 404 overweight or obese college students from three Southern California universities (Mage=22(±4) years; MBMI=29(±2.8); 70% female) were randomized to participate in the intervention or to receive an informational web-based weight loss program. The intervention is based on behavioral theory and integrates intervention elements across multiple touch points, including Facebook, text messaging, smartphone applications, blogs, and e-mail. Participants are encouraged to seek social support among their friends, self-monitor their weight weekly, post their health behaviors on Facebook, and e-mail their weight loss questions/concerns to a health coach. The intervention is adaptive because new theory-driven and iteratively tailored intervention elements are developed and released over the course of the two-year intervention in response to patterns of use and user feedback. Measures of body mass index, waist circumference, diet, physical activity, sedentary behavior, weight management practices, smoking, alcohol, sleep, body image, self-esteem, and depression occur at 6, 12, 18, and 24months. Currently, all participants have been recruited, and all are in the final year of the trial. ConclusionTheory-driven, evidence-based strategies for physical activity, sedentary behavior, and dietary intake can be embedded in an intervention using social and mobile technologies to promote healthy weight-related behaviors in young adults.

Changes to dietary intake during a 12-week commercial web-based weight loss program: a randomized controlled trial

The primary aim of this secondary analysis was to compare changes in dietary intake among participants randomized to two versions of a 12-week commercial web-based weight loss program (basic or enhanced) with a waiting-list control. An additional investigation compared changes in dietary intake of successful participants (weight loss ≥5%) with those not successful. Dietary intake was assessed at baseline and 12 weeks using a validated 120-item semiquantitative food frequency questionnaire. Adults (n=268, 60% female participants, body mass index 32.1 ± 3.9) classified as plausible reporters of energy intake were included in the analyses. Analysis of covariance with baseline observations carried forward for drop-outs (n=38) was used. The basic and enhanced groups significantly increased their percentage of energy contribution from fruits and reduced energy-dense, nutrient-poor foods compared with controls (P<0.001). Successful participants (n=49) reported superior improvements in dietary intake including greater reductions in the mean daily energy intake (P<0.001), the percentage of energy from energy-dense, nutrient-poor foods (-12.0% E vs -4.3% E, P<0.001) and greater increases in the energy contribution from fruits (P<0.001), vegetables (P=0.003) and breads/cereals (P=0.02). Use of a commercial web-based weight loss program facilitated some improvements in the dietary intake. The enhanced web-based tools appeared not to have generated greater improvements in reported dietary intake, compared with the basic or control groups. Those who achieved a weight loss of ≥5% improved their dietary intake in line with the program recommendations and dietary guidelines. Further research to determine web-based components that may improve success and the reasons why programs are successful for some participants is required.

Determinants of Successful Weight Loss After Using a Commercial Web-Based Weight Reduction Program for Six Months: Cohort Study

BackgroundThe Internet is widely available and commonly used for health information; therefore, Web-based weight loss programs could provide support to large parts of the population in self-guided weight loss. Previous studies showed that Web-based weight loss interventions can be effective, depending on the quality of the program. The most effective program tools are visual progress charts or tools for the self-monitoring of weight, diet, and exercises. KiloCoach, a commercial program currently available in German-speaking countries, incorporates these features. A previous investigation showed that the program effectively supports users in losing weight.ObjectiveWe investigated weight loss dynamics stratified by weight loss success after 6-month use of KiloCoach. Furthermore, we analyzed possible associations between intensity of program use and weight loss. The results are intended for tailoring user recommendations for weight-loss Internet platforms.MethodsDatasets of KiloCoach users (January 1, 2008 to December 31, 2011) who actively used the platform for 6 months or more were assigned to this retrospective analysis. Users (N=479) were 42.2% men, mean age of 44.0 years (SD 11.7), with a mean body mass index (BMI) of 31.7 kg/m2 (SD 3.2). Based on the weight loss achieved after 6 months, 3 success groups were generated. The unsuccessful group lost <5%, the moderate success group lost 5%-9.9%, and the high success group lost ≥10% of their baseline body weight. At baseline, the unsuccessful (n=261, 54.5%), moderate success (n=133, 27.8%), and high success (n=85, 17.8%) groups were similar in age, weight, BMI, and gender distribution.ResultsAfter 6 months, the unsuccessful group lost 1.2% (SD 2.4), the moderate success group lost 7.4% (SD 1.5), and the high success group lost 14.2% (SD 3.8) of their initial weight (P<.001). Multivariate regression showed that early weight loss (weeks 3-4), the total number of dietary protocols, and the total number of weight entries were independent predictors for 6-month weight reduction (all P<.001) explaining 52% of the variance in weight reduction. Sensitivity analysis by baseline carried forward method confirmed all independent predictors of 6-month weight loss and reduced the model fit by only 11%. The high success group lost weight faster and maintained weight loss more efficiently than the other groups (P<.001). Early weight loss was associated with weight maintenance after 1 year and 2 years (both P<.001). Weight dynamics did not differ between men and women over 6 months when adjusted for baseline and usage parameters (P=.91). The percentage of male long-term users was unusually high (42.2%).ConclusionsOur results suggest that early weight loss and close program adherence (ie, 5 dietary protocols per week and weekly entering of current weight), especially in the early phase of program usage, can improve weight loss outcome.

Exploring weight loss services in primary care and staff views on using a web-based programme

Demand is increasing for primary care to deliver effective weight management services to patients, but research suggests that staff feel inadequately resourced for such a role. Supporting service delivery with a free and effective web-based weight management programme could maximise primary care resource and provide cost-effective support for patients. However, integration of e-health into primary care may face challenges. To explore primary care staff experiences of delivering weight management services and their perceptions of a web-based weight management programme to aid service delivery. Focus groups were conducted with primary care physicians, nurses and healthcare assistants (n = 36) involved in delivering weight loss services. Data were analysed using inductive thematic analysis. Participants thought that primary care should be involved in delivering weight management, especially when weight was aggravating health problems. However, they felt under-resourced to deliver these services and unsure as to the effectiveness of their input, as routine services were not evaluated. Beliefs that current services were ineffective resulted in staff reluctance to allocate more resources. Participants were hopeful that supplementing practice with a web-based weight management programme would enhance patient services and promote service evaluation. Although primary care staff felt they should deliver weight loss services, low levels of faith in the efficacy of current treatments resulted in provision of under-resourced and 'ad hoc' services. Integration of a web-based weight loss programme that promotes service evaluation and provides a cost-effective option for supporting patients may encourage practices to invest more in weight management services.

An 8-Week Web-Based Weight Loss Challenge With Celebrity Endorsement and Enhanced Social Support: Observational Study

BackgroundInitial engagement and weight loss within Web-based weight loss programs may predict long-term success. The integration of persuasive Web-based features may boost engagement and therefore weight loss.ObjectiveTo determine whether an 8-week challenge within a commercial Web-based weight loss program influenced weight loss, website use, and attrition in the short term, when compared to the standard program.MethodsDe-identified data for participants (mean age 36.7±10.3 years; 86% female) who enrolled in the Biggest Loser Club (BLC) (n=952) and the BLC’s Shannan Ponton Fast Track Challenge (SC) for 8 weeks (n=381) were compared. The BLC program used standard evidence-based website features, with individualized calorie and exercise targets to facilitate a weight loss of 0.5-1 kg per week (–500kcal/day less than estimated energy expenditure). SC used the same website features but in addition promoted greater initial weight loss using a 1200 kcal/day energy intake target and physical activity energy expenditure of 600 kcal/day. SC used persuasive features to facilitate greater user engagement, including offering additional opportunities for social support (eg, webinar meetings with a celebrity personal trainer and social networking) endorsed by a celebrity personal trainer. Self-reported weekly weight records were used to determine weight change after 8 weeks. A primary analysis was undertaken using a generalized linear mixed model (GLMM) with all available weight records for all participants included. Dropout (participants who cancelled their subscription) and nonusage (participants who stopped using the Web-based features) attrition rates at 8 weeks were calculated. The number of participants who accessed each website feature and the total number of days each feature was used were calculated. The difference between attrition rates and website use for the two programs were tested using chi-square and Wilcoxon Rank Sum tests, respectively.ResultsUsing GLMM, including weight data for all participants, there was significantly greater (P=.03) 8-week weight loss in SC (–5.1 kg [–5.5 to –4.6 kg] or –6.0%) compared to BLC participants (–4.5 kg [–4.8, –4.2] or –5.0%). Dropout rates were low and consistent across groups (BLC: 17 (1.8%) vs SC: 2 (0.5%), P=.08) and 48.7% (456/936) of BLC and 51.2% (184/379) of SC participants accessed the website at 8 weeks, with no difference between programs (P=.48). SC participants accessed the discussion forums, menu plans, exercise plans, and educational materials significantly more than BLC participants (P<.05).ConclusionsUsing a short-term challenge with persuasive features, including online social support with endorsement by a celebrity personal trainer, as well as a greater energy balance deficit, within a commercial Web-based weight loss program may facilitate greater initial weight loss and engagement with some program components. The results support the need for a more rigorous and prospective evaluation of Web-based weight loss programs that incorporate additional strategies to enhance initial weight loss and engagement, such as a short-term challenge.

The efficacy of a daily self-weighing weight loss intervention using smart scales and e-mail.

ObjectiveTo examine the impact of a weight loss intervention that focused on daily self-weighing for self-monitoring as compared to a delayed control group among 91 overweight adults.Design and MethodsThe 6-month intervention included a cellular-connected “smart” scale for daily weighing, web-based weight loss graph, and weekly emails with tailored feedback and lessons. An objective measure of self-weighing frequency was obtained. Weight was measured in clinic at 3 and 6 months. Caloric intake and expenditure, and perceptions of daily self-weighing were also measured.ResultsUsing intent-to-treat analyses, the intervention group lost significantly more weight compared to the control group [Mean (95%CI); 3 months: −4.41%(−5.5, −3.3) vs. −0.37%(−1.5, .76); 6 months: −6.55%(−7.7, −5.4) vs. −0.35%(−1.5, .79); group×time interaction: p<.001] and a greater percentage achieved 5% (42.6% vs. 6.8%; p<.0001) and 10% (27.7% vs. 0%; p<.0001) weight loss. On average, the intervention group self-weighed more days/week (6.1±1.1 vs. 1.1±1.5; p<.0001) and consumed fewer calories/day compared to the control group [Mean (95% CI); 6 months: 1509 (1291,1728) vs. 1856 (1637,2074); group×time interaction: p=.006]. Among intervention participants, daily self-weighing was perceived positively.ConclusionsThese results indicate that an intervention focusing on daily self-weighing can produce clinically significant weight loss.

Features Predicting Weight Loss in Overweight or Obese Participants in a Web-Based Intervention: Randomized Trial

BackgroundObesity remains a serious issue in many countries. Web-based programs offer good potential for delivery of weight loss programs. Yet, many Internet-delivered weight loss studies include support from medical or nutritional experts, and relatively little is known about purely web-based weight loss programs.ObjectiveTo determine whether supportive features and personalization in a 12-week web-based lifestyle intervention with no in-person professional contact affect retention and weight loss.MethodsWe assessed the effect of different features of a web-based weight loss intervention using a 12-week repeated-measures randomized parallel design. We developed 7 sites representing 3 functional groups. A national mass media promotion was used to attract overweight/obese Australian adults (based on body mass index [BMI] calculated from self-reported heights and weights). Eligible respondents (n = 8112) were randomly allocated to one of 3 functional groups: information-based (n = 183), supportive (n = 3994), or personalized-supportive (n = 3935). Both supportive sites included tools, such as a weight tracker, meal planner, and social networking platform. The personalized-supportive site included a meal planner that offered recommendations that were personalized using an algorithm based on a user’s preferences for certain foods. Dietary and activity information were constant across sites, based on an existing and tested 12-week weight loss program (the Total Wellbeing Diet). Before and/or after the intervention, participants completed demographic (including self-reported weight), behavioral, and evaluation questionnaires online. Usage of the website and features was objectively recorded. All screening and data collection procedures were performed online with no face-to-face contact.ResultsAcross all 3 groups, attrition was high at around 40% in the first week and 20% of the remaining participants each week. Retention was higher for the supportive sites compared to the information-based site only at week 12 (P = .01). The average number of days that each site was used varied significantly (P = .02) and was higher for the supportive site at 5.96 (SD 11.36) and personalized-supportive site at 5.50 (SD 10.35), relative to the information-based site at 3.43 (SD 4.28). In total, 435 participants provided a valid final weight at the 12-week follow-up. Intention-to-treat analyses (using multiple imputations) revealed that there were no statistically significant differences in weight loss between sites (P = .42). On average, participants lost 2.76% (SE 0.32%) of their initial body weight, with 23.7% (SE 3.7%) losing 5% or more of their initial weight. Within supportive conditions, the level of use of the online weight tracker was predictive of weight loss (model estimate = 0.34, P < .001). Age (model estimate = 0.04, P < .001) and initial BMI (model estimate = -0.03, P < .002) were associated with frequency of use of the weight tracker.ConclusionsRelative to a static control, inclusion of social networking features and personalized meal planning recommendations in a web-based weight loss program did not demonstrate additive effects for user weight loss or retention. These features did, however, increase the average number of days that a user engaged with the system. For users of the supportive websites, greater use of the weight tracker tool was associated with greater weight loss.

Web‐based self‐monitoring for weight loss among overweight/obese women at increased risk for breast cancer: the HELP pilot study

Excess weight and physical inactivity are modifiable risk factors for breast cancer. Training women to use self-help resources over the internet has potential for reducing intervention costs and enhancing maintenance. A total of 50 overweight/obese women at increased breast cancer risk were randomized to a 12-week intervention or a comparison group. Telephone-based sessions trained participants to use web-based self-monitoring tools to set goals and track diet and exercise. The comparison group received dietary information but no training. At baseline and 12 weeks, participants were weighed and wore an accelerometer. Participants were aged 60.9 ± 0.8 years with a BMI of 33.1 ± 0.6 kg/m(2). The intervention group lost 3.3 ± 4.0 kg, whereas the comparison group gained 0.9 ± 3.4 kg (p < 0.0001). Intervention participants who found the website helpful lost 5.6 ± 0.7 kg; those who did not lost 0.8 ± 0.9 kg (p < 0.001). Change in physical activity was +70 ± 140 min/week among those who found the website helpful, -6 ± 75 min/week among those who did not, and -34 ± 207 min/week in the comparison group (p < 0.01). A program to train women to use web-based weight loss tools achieved a substantial short-term weight loss among the majority of participants. Further follow-up is needed to assess weight loss maintenance over time.

Evaluating weight loss, website use, and attrition in commercial web-based weight loss programs

Evaluating weight loss, website use, and attrition in commercial web-based weight loss programs

Innovation in Weight Loss Programs: A 3-Dimensional Virtual-World Approach

BackgroundThe rising trend in obesity calls for innovative weight loss programs. While behavioral-based face-to-face programs have proven to be the most effective, they are expensive and often inaccessible. Internet or Web-based weight loss programs have expanded reach but may lack qualities critical to weight loss and maintenance such as human interaction, social support, and engagement. In contrast to Web technologies, virtual reality technologies offer unique affordances as a behavioral intervention by directly supporting engagement and active learning.ObjectiveTo explore the effectiveness of a virtual-world weight loss program relative to weight loss and behavior change.MethodsWe collected data from overweight people (N = 54) participating in a face-to-face or a virtual-world weight loss program. Weight, body mass index (BMI), percentage weight change, and health behaviors (ie, weight loss self-efficacy, physical activity self-efficacy, self-reported physical activity, and fruit and vegetable consumption) were assessed before and after the 12-week program. Repeated measures analysis was used to detect differences between groups and across time.ResultsA total of 54 participants with a BMI of 32 (SD 6.05) kg/m2 enrolled in the study, with a 13% dropout rate for each group (virtual world group: 5/38; face-to-face group: 3/24). Both groups lost a significant amount of weight (virtual world: 3.9 kg, P < .001; face-to-face: 2.8 kg, P = .002); however, no significant differences between groups were detected (P = .29). Compared with baseline, the virtual-world group lost an average of 4.2%, with 33% (11/33) of the participants losing a clinically significant (≥5%) amount of baseline weight. The face-to-face group lost an average of 3.0% of their baseline weight, with 29% (6/21) losing a clinically significant amount. We detected a significant group × time interaction for moderate (P = .006) and vigorous physical activity (P = .008), physical activity self-efficacy (P = .04), fruit and vegetable consumption (P = .007), and weight loss self-efficacy (P < .001). Post hoc paired t tests indicated significant improvements across all of the variables for the virtual-world group.ConclusionsOverall, these results offer positive early evidence that a virtual-world-based weight loss program can be as effective as a face-to-face one relative to biometric changes. In addition, our results suggest that a virtual world may be a more effective platform to influence meaningful behavioral changes and improve self-efficacy.