ArticleJMIR mHealth and uHealth2020
Effect of mHealth With Offline Antiobesity Treatment in a Community-Based Weight Management Program: Cross-Sectional Study.
Article in JMIR mHealth and uHealth, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 30 citations in OpenAlex.
- Effects of Smartphone-Based Remote Interventions on Dietary Intake, Physical Activity, Weight Control, and Related Health Benefits Among the Older Population With Overweight and Obesity in China: Randomized Controlled Trial.Journal of medical Internet research · 2023Trial
- The Aim2Be mHealth Intervention for Children With Overweight or Obesity and Their Parents: Person-Centered Analyses to Uncover Digital Phenotypes.Journal of medical Internet research · 2022Trial
- Effect of Mobile-Based Lifestyle Intervention on Weight Loss among the Overweight and Obese Elderly Population in China: A Randomized Controlled Trial.International journal of environmental research and public health · 2021Trial
- Effectiveness of an mHealth Intervention Combining a Smartphone App and Smart Band on Body Composition in an Overweight and Obese Population: Randomized Controlled Trial (EVIDENT 3 Study).JMIR mHealth and uHealth · 2020Trial
- Impact of a 24-Week Mobile App-Based Human Coaching Program on Body Composition and Lipid Metabolism in Breast Cancer Survivors With Overweight or Obesity: Single-Arm Prospective Cohort Study.JMIR mHealth and uHealth · 2025Article
- Eliciting Preferences for the Uptake of Smoking Cessation Apps: Discrete Choice Experiment.Journal of medical Internet research · 2025Article
- Evaluation of a mobile behavior change program for weight loss in breast cancer survivors.NPJ breast cancer · 2024Article
- Article
- The Association Between Goal Setting and Weight Loss: Prospective Analysis of a Community Weight Loss Program.Journal of medical Internet research · 2023Article
- Effectiveness of Information and Communications Technology-Based Interventions for Obesity and Metabolic Syndrome.Journal of obesity & metabolic syndrome · 2022Article
- The Effectiveness of a Mobile Health Care App and Human Coaching Program in Primary Care Clinics: Pilot Multicenter Real-World Study.JMIR mHealth and uHealth · 2022Article
- Weight Loss Trajectories and Related Factors in a 16-Week Mobile Obesity Intervention Program: Retrospective Observational Study.Journal of medical Internet research · 2022Observational
- Perceptions of Factors Influencing Engagement With Health and Well-being Apps in the United Kingdom: Qualitative Interview Study.JMIR mHealth and uHealth · 2021Article
- Interpretable Conditional Recurrent Neural Network for Weight Change Prediction: Algorithm Development and Validation Study.JMIR mHealth and uHealth · 2021Article
- Lifelog Data-Based Prediction Model of Digital Health Care App Customer Churn: Retrospective Observational Study.Journal of medical Internet research · 2021Observational
- Understanding Time Series Patterns of Weight and Meal History Reports in Mobile Weight Loss Intervention Programs: Data-Driven Analysis.Journal of medical Internet research · 2020Article
Corrections and comments
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Authors and funding
3 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWeight loss interventions using mobile phone apps have recently shown promising results.
objectiveThis study aimed to analyze the short-term weight loss effect of a mobile coaching intervention when it is integrated with a local public health care center and a regional hospital's antiobesity clinic as a multidisciplinary model.
methodsA total of 150 overweight or obese adults signed up to complete an 8-week antiobesity intervention program with human coaching through a mobile platform. Paired t tests and multiple linear regression analysis were used to identify the intervention factors related to weight change.
resultsAmong the 150 participants enrolled in this study, 112 completed the 8-week weight loss intervention. Weight (baseline: mean 77.5 kg, SD 12.9; after intervention: mean 74.8 kg, SD 12.6; mean difference -2.73 kg), body mass index, waist circumference, fat mass (baseline: mean 28.3 kg, SD 6.6; after intervention: mean 25.7 kg, SD 6.3; mean difference -2.65 kg), and fat percentage all showed a statistically significant decrease, and metabolic equivalent of task (MET) showed a statistically significant increase after intervention. In multiple linear regression analysis, age (beta=.07; P=.06), △MET (beta=-.0009; P=.10), number of articles read (beta=-.01; P=.04), and frequency of weight records (beta=-.05; P=.10; R
conclusionsThe multidisciplinary approach, combining a mobile health (mHealth) care app by health care providers, was effective for short-term weight loss. Additional studies are needed to evaluate the efficacy of mHealth care apps in obesity treatment.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.