Journal Of Medical Internet Research Weight Loss

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Journal of Medical Internet Research - Weight Loss …

https://www.jmir.org/2022/4/e29380

Journal of Medical Internet Research - Weight Loss Trajectories and Related Factors in a 16-Week Mobile Obesity Intervention Program: Retrospective …

Journal of Medical Internet Research - Leveraging …

https://www.jmir.org/2021/5/e25401

Conclusions: Including genomic information when modeling outcomes of a digital precision weight loss program greatly enhanced the model accuracy. Interpretable …

Journal of Medical Internet Research - Understanding …

https://www.jmir.org/2020/6/e13745/

Objective: This study aimed to investigate the extent to which the content posted by users in the r/loseit subreddit, an online community for discussing weight …

Journal of Medical Internet Research - mHealth …

https://www.jmir.org/2022/6/e35747

Journal of Medical Internet Research - mHealth Research for Weight Loss, Physical Activity, and Sedentary Behavior: Bibliometric Analysis Published on …

Web-Based Digital Health Interventions for Weight Loss …

https://pubmed.ncbi.nlm.nih.gov/30622090/

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; …

Journal of Medical Internet Research - Web-Based …

https://www.jmir.org/2017/6/e229/

Background: Weight loss is challenging and maintenance of weight loss is problematic. Web-based programs offer good potential for delivery of interventions for …

Comparing Self-Monitoring Strategies for Weight Loss in …

https://mhealth.jmir.org/2019/2/e12209/

Participants were adults with overweight or obesity (n=105; aged 21-65 years; body mass index, BMI, 25-45 kg/m2) and were randomized to a 12-week stand …

Features predicting weight loss in overweight or obese

https://pubmed.ncbi.nlm.nih.gov/23234759/

Intention-to-treat analyses (using multiple imputations) revealed that there were no statistically significant differences in weight loss between sites (P = .42). On …

An Online Intervention Comparing a Very Low …

https://pubmed.ncbi.nlm.nih.gov/28193599/

Conclusions: Individuals with type 2 diabetes improved their glycemic control and lost more weight after being randomized to a very low-carbohydrate ketogenic diet …

Mining Health App Data to Find More and Less …

https://pubmed.ncbi.nlm.nih.gov/27301853/

Classification and regression tree analysis identified 3 distinct subgroups: "the occasional users" had the lowest proportion (4.87%) of individuals who successfully lost …

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Journal Of Medical Internet Research Weight Loss