A Mobile Health Intervention for Weight Management in Occupational Groups With Overweight and Obesity (Preprint)

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Authors: Ru Zheng
Cited by: 0

Abstract

BACKGROUND Obesity and overweight are serious public health problems involving more than 1.9 billion and 650 million, respectively, of global population. Research indicates that internet-based weight management can more efficiently control calorie intake, alter dietary habits, facilitate regular weight monitoring, and improve emotional eating patterns, ultimately establishing healthy lifestyles to achieve weight loss. OBJECTIVE This study amied to evaluate the effectiveness of a mobile health technology–based lifestyle intervention for weight management among overweight or obese occupational groups. Explore factors that influence intervention outcomes. Provide scientific evidence for weight management in this population. METHODS From November 2024 to January 2025, 5859 overweight or obese working adults were recruited from 16 districts in Beijing, China. A three-month comprehensive lifestyle intervention was delivered via WeChat mini-programs and group chats. Generalized linear mixed models and generalized estimating equations were used to analyze the effects of the intervention on participants' weight, body fat percentage, waist circumference, hip circumference, and lifestyle behaviors. A multivariable logistic regression model was used to identify key factors that influence weight loss success. RESULTS After the intervention, 68.07% of the participants achieved weight reduction, 10.80% returned to a normal BMI (

Fields of Study & Subjects

Mobile Health and mHealth Applications Obesity Physical Activity Diet Nutrition Health and Food Behavior

Publication details

Publication date
12 January 2026
Document type
Preprint