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BACKGROUND: The effect of computer- or human-delivered personalized feedback on the effectivess of web-based behavior change platforms for weight loss is unclear. OBJECTIVE: We aimed to compare the effectiveness of a web-based behavior change intervention personalized through either computerized or human-delivered feedback with a nonpersonalized intervention in promoting weight loss in community-based adults with overweight or obesity. METHODS: This pragmatic, 3-group, parallel-arm, randomized trial recruited students and staff in a Brazilian public university who were aged 18 to 60 years, had a BMI of ≥25 kg/m2, and were not pregnant. Participants were allocated to one of 3 groups: platform only (24-week behavior change program delivered using a web platform with personalized computer-delivered feedback), platform plus coaching (same 24-week web-based behavior change program plus 12 weeks of personalized feedback delivered online by a dietitian), or waiting list (nonpersonalized dietary and physical activity recommendations delivered through an e-booklet and videos). Self-reported weight at 24 weeks was the primary outcome. Changes in dietary and physical activity habits within 24 weeks were secondary outcomes. RESULTS: Among the 1298 participants, 375 (28.89%) were lost to follow-up. In the intention-to-treat analysis, the platform-only and platform plus coaching groups had greater mean weight loss than the waiting-list group at 24 weeks (-1.08 kg, 95% CI -1.41 to -0.75 vs -1.57 kg, 95% CI -1.92 to -1.22 vs -0.66 kg, 95% CI -0.98 to -0.34, respectively). The platform-only and platform plus coaching groups, compared with the waiting list group, had a greater increase in the consumption of vegetables (3%, 95% CI 1% to 6% vs 5%, 95% CI 2% to 8% vs -3%, 95% CI -5% to 0%) and fruits (9%, 95% CI 6% to 12% vs 6%, 95% CI 2% to 9% vs 2%, 95% CI 0% to 6%) and a larger reduction in ultraprocessed food intake (-18%, 95% CI -23% to -13% vs -25%, 95% CI -30% to -20% vs -12%, 95% CI -16% to -8%). Changes in physical activity did not differ across the groups. Engagement was higher in the platform plus coaching group than in the platform-only group (7.6 vs 5.2 completed sessions; P=.007). Longer usage of the platform was associated with clinically meaningful (≥5%) weight loss (odds ratio 1.02, 95% CI 1.01 to 1.04). CONCLUSIONS: The web-based behavior change programs with computer- and human-delivered personalized feedback led to greater, albeit small-magnitude, weight loss within 24 weeks. Improvement in multiple dietary habits, but not physical activity, were also greater in the personalized programs compared with the nonpersonalized one. The human-delivered personalized feedback by the online dietitian coach increased user engagement with the program and was associated with a significantly higher chance of clinically meaningful weight loss. TRIAL REGISTRATION: ClinicalTrials.gov NCT03435445; https://clinicaltrials.gov/ct2/show/NCT03435445. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/10.1186/s12889-018-5882-y.
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Dietoterapia/métodos , Dieta/métodos , Obesidad/terapia , Sobrepeso/terapia , Medicina de Precisión/métodos , Programas de Reducción de Peso/métodos , Adolescente , Adulto , Brasil , Femenino , Humanos , Internet , Masculino , Persona de Mediana Edad , Autoinforme , Adulto JovenRESUMEN
Self-reported anthropometric data in web-based weight loss interventions may be inaccurate. We studied the agreement between online self-reported and measured weight in the course of the POEmaS randomized controlled trial. Measured weight was not different from reported one (-0.4 kg; 95%CI -0.93 to 0.12). 95.6% of the cases were within the limits of agreement (Bland-Altman method). Self-reported weight collected online was accurate, which suggests that interventions and outcomes assessment can rely on these data.
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Estatura , Pérdida de Peso , Peso Corporal , Humanos , Internet , Ensayos Clínicos Controlados Aleatorios como Asunto , AutoinformeRESUMEN
BACKGROUND: Obesity 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. OBJECTIVE: We 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. METHODS: We 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. RESULTS: Among 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%). CONCLUSIONS: Web-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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Obesidad/terapia , Sobrepeso/terapia , Pérdida de Peso/fisiología , Programas de Reducción de Peso/métodos , Adulto , Teléfono Celular , Hábitos , Humanos , Internet , Estilo de Vida , TelemedicinaRESUMEN
INTRODUCTION: Behaviour change is a key point in weight management. Digital health interventions are attractive tools to deliver behaviour interventions for weight loss, due to the potential to reach a large number of people. We aimed to report how the Behaviour Change Wheel (BCW) was used to develop and implement a web platform to promote weight loss in Brazilian adults with overweight and obesity. Moreover, we aimed to describe the first 12 weeks of usage of the platform in a randomized controlled trial. METHODS: The BCW framework was used to define intake of fruit/vegetables, ultra-processed products and sweetened beverages, leisure physical activity and sitting time as target behaviours. The BCW components of behaviour-capability, opportunity and motivation were used to make a behaviour diagnosis of the population and BCW second layer oriented the selection of information, goal setting, self-monitoring, feedback, social support and incentives as behaviour techniques. Using these behaviour techniques, a 24-week behaviour intervention delivered by seven different platform functionalities was developed. The platform was tested in a three-arm parallel (basic platform versus enhanced platform versus minimal intervention control group) randomized controlled trial from September 2017 to April 2018. In the present analysis, we classified the platform functionalities according to the BCW behaviour component (capability, opportunity and behaviour) and used descriptive statistics and Spearman correlations to report functionalities usage according to the BCW behaviour component over the first 12 weeks of the trial. The study was approved by the Ethics Committee of the Federal University of Minas Gerais, Brazil and was registered under NCT 03435445. RESULTS: Over the first 12 weeks of the RCT, the 809 participants (619, 76.5% women; mean age 33.7 years, SD 10.3; mean BMI 29.9 kg/m2, SD 4.3) were enrolled for use of the basic and enhance versions of the platform. Capability-driven functionalities were accessed by 455 (56.2%) users with median access of 1 (IQR 1-6) times, whereas opportunity-driven platform functionalities were accessed by 592 participants with 8 (IQR 1-27) median access times and motivation-driven functionalities were accessed by 560 (69.2%) participants with 13 (IQR 1-30) median times of access. Spearman correlations between the use of capability and opportunity functionalities, capability and motivation functionalities and opportunity and motivation functionalities were 0.74 (95% CI 0.70-0.77), 0.74 (95% CI 0.70-0.78), 0.89 (95% CI 0.87-0.91), respectively. DISCUSSION: BCW provided a systematic approach to planning, designing and implementing a complex weight loss intervention based on behaviour change. Moreover, it promoted a clear understanding of the relation between platform functionalities and behaviour determinants. The low use of the capability-driven functionalities might have been related to lack of accuracy in the behaviour diagnosis, as well as to implementation issues. The high correlation between the functionalities use suggests that the BCW approach did not determine the platform usage profile. CONCLUSION: The BCW provided a framework for an evidence-based intervention on weight loss delivered by a web platform. Using the framework led to a clear understanding of the behaviour determinants and their relation to the platform features.
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Terapia Conductista , Obesidad , Pérdida de Peso , Adulto , Brasil , Femenino , Humanos , Masculino , Motivación , Obesidad/terapiaRESUMEN
World-wide availability of biobank samples is a great desideratum for biomedical researchers. We describe the use case of biobank information retrieval that requires the semantic descriptions of biobank samples and of clinical information. In addition we sketch the foundations of an ontology for biobanks, as a basis on which distributed biobank indexing and retrieval systems can be built. We advocate that a detailed and robust representation of this kind of information improves and allows complex queries that will certainly arise to explore the full potential of biobanks.