Web-based weight management programs in an integrated health care setting: a randomized, controlled trial.

Area of Science:

• Digital Health
• Behavioral Science
• Obesity Research

Background:

• Obesity is a significant public health concern requiring effective management strategies.
• Web-based interventions offer scalable solutions for weight management.
• Tailored behavioral programs may enhance engagement and efficacy.

Purpose of the Study:

• To compare the efficacy of a Web-based tailored behavioral weight management program against Web-based information-only materials.
• To evaluate participant satisfaction with different Web-based weight management approaches.

Main Methods:

• A large randomized controlled trial involving 2862 overweight and obese participants (BMI 27-40 kg/m2).
• Participants were randomized to receive either a tailored expert system or information-only Web-based materials.
• Weight change and program satisfaction were self-reported via online surveys at 3- and 6-month follow-ups.

Main Results:

• The tailored expert system group achieved significantly greater weight loss (3% of baseline weight) compared to the information-only group (1.2% of baseline weight).
• Participants reported higher satisfaction with the tailored expert system, finding it more relevant, helpful, and understandable.
• African-American enrollment was notable (36%), exceeding regional proportions.

Conclusions:

• Web-based tailored expert systems demonstrate significant potential for effective weight management.
• This approach offers a scalable and engaging alternative to standard information-only Web-based programs.
• The study highlights the benefit of personalized digital health interventions for obesity.