Using synchronous distance education to deliver a weight loss intervention: A randomized trial

Dunn, Carolyn; Olabode-Dada, Olusola; Whetstone, Lauren; Thomas, Cathy; Aggarwal, Surabhi; Nordby, Kelly; Thompson, Sharon E; Johnson, Madison; Allison, Christine L.

doi:10.1002/oby.21315

Cited by 14 publications

(11 citation statements)

References 31 publications

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“…Allocation was not concealed in 3 studies [12,18,20]. As expected in this type of intervention, blinding of participants and personnel was not feasible, whereas blinding of the assessor was not reported in 5 [15,17,19-22]. Moreover, high follow-up attrition rates were a common finding.…”

Section: Resultsmentioning

confidence: 99%

“…Absolute weight and BMI changes were reported in 10 [12-15,17-22] and 9 [12-20] studies, respectively. Overall, changes in weight (MD −0.77 kg; 95% CI −2.16 to 0.62; Figure 2) and MDs in BMI (MD −0.12 kg/m 2 ; 95% CI −0.64 to 0.41; Figure 3) were not significantly different between the digital interventions and the offline interventions.…”

Section: Resultsmentioning

confidence: 99%

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Web-Based Digital Health Interventions for Weight Loss and Lifestyle Habit Changes in Overweight and Obese Adults: Systematic Review and Meta-Analysis

et al. 2019

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BackgroundObesity is a highly prevalent condition with important health implications. Face-to-face interventions to treat obesity demand a large number of human resources and time, generating a great burden to individuals and health system. In this context, the internet is an attractive tool for delivering weight loss programs due to anonymity, 24-hour-accessibility, scalability, and reachability associated with Web-based programs.ObjectiveWe aimed to investigate the effectiveness of Web-based digital health interventions, excluding hybrid interventions and non-Web-based technologies such as text messaging, short message service, in comparison to nontechnology active or inactive (wait list) interventions on weight loss and lifestyle habit changes in individuals with overweight and obesity.MethodsWe searched PubMed or Medline, SciELO, Lilacs, PsychNet, and Web of Science up to July 2018, as well as references of previous reviews for randomized trials that compared Web-based digital health interventions to offline interventions. Anthropometric changes such as weight, body mass index (BMI), waist, and body fat and lifestyle habit changes in adults with overweight and obesity were the outcomes of interest. Random effects meta-analysis and meta-regression were performed for mean differences (MDs) in weight. We rated the risk of bias for each study and the quality of evidence across studies using the Grades of Recommendation, Assessment, Development, and Evaluation approach.ResultsAmong the 4071 articles retrieved, 11 were included. Weight (MD −0.77 kg, 95% CI −2.16 to 0.62; 1497 participants; moderate certainty evidence) and BMI (MD −0.12 kg/m2; 95% CI −0.64 to 0.41; 1244 participants; moderate certainty evidence) changes were not different between Web-based and offline interventions. Compared to offline interventions, digital interventions led to a greater short-term (<6 months follow-up) weight loss (MD −2.13 kg, 95% CI −2.71 to −1.55; 393 participants; high certainty evidence), but not in the long-term (MD −0.17 kg, 95% CI −2.10 to 1.76; 1104 participants; moderate certainty evidence). Meta-analysis was not possible for lifestyle habit changes. High risk of attrition bias was identified in 5 studies. For weight and BMI outcomes, the certainty of evidence was moderate mainly due to high heterogeneity, which was mainly attributable to control group differences across studies (R2=79%).ConclusionsWeb-based digital interventions led to greater short-term but not long-term weight loss than offline interventions in overweight and obese adults. Heterogeneity was high across studies, and high attrition rates suggested that engagement is a major issue in Web-based interventions.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Web-Based Digital Health Interventions for Weight Loss and Lifestyle Habit Changes in Overweight and Obese Adults: Systematic Review and Meta-Analysis

et al. 2019

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“…There has thus been substantial interest in the potential of videoconference programs , but to date there have been very little data for evaluating their effectiveness. Three small pilot studies tested videoconference delivery in adults but did not compare videoconference to in‐person delivery . Another pilot study in children compared videoconference program delivery with in‐person counseling, but neither group achieved significant WL .…”

Section: Discussionmentioning

confidence: 99%

Weight loss in videoconference and in‐person iDiet weight loss programs in worksites and community groups

Das

Brown

Urban

et al. 2017

Obesity

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“…same data set), only one record was retained. After teams of coders excluded studies that failed to meet inclusion criteria, a total of 71 studies were retained for analyses .…”

Section: Methodsmentioning

confidence: 99%

Racial and ethnic minority enrollment in randomized clinical trials of behavioural weight loss utilizing technology: a systematic review

et al. 2017

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Many racial and ethnic minority groups (minorities) are disproportionately affected by overweight and obesity; however, minorities are often under-represented in clinical trials of behavioural weight loss (BWL) treatment, potentially limiting the generalizability of these trials' conclusions. Interventions involving technology may be particularly well suited to overcoming the barriers to minority enrollment in BWL trials, such as demanding or unpredictable work schedules, caregiving responsibilities and travel burdens. Thus, this systematic review aimed to describe minority enrollment in trials utilizing technology in interventions, as well as to identify which form(s) of technology yield the highest minority enrollment. Results indicated relatively low enrollment of minorities. Trials integrating smartphone use exhibited significantly greater racial minority enrollment than trials that did not; trials with both smartphone and in-person components exhibited the highest racial minority enrollment. This review is the first to explore how the inclusion of technology in BWL trials relates to minority enrollment and can help address the need to improve minority enrollment in weight loss research.

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Using synchronous distance education to deliver a weight loss intervention: A randomized trial

Cited by 14 publications

References 31 publications

Web-Based Digital Health Interventions for Weight Loss and Lifestyle Habit Changes in Overweight and Obese Adults: Systematic Review and Meta-Analysis

Web-Based Digital Health Interventions for Weight Loss and Lifestyle Habit Changes in Overweight and Obese Adults: Systematic Review and Meta-Analysis

Weight loss in videoconference and in‐person iDiet weight loss programs in worksites and community groups

Racial and ethnic minority enrollment in randomized clinical trials of behavioural weight loss utilizing technology: a systematic review

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