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Smartphones and Web 2.0. interventions for weight management.

Muhammad K Khan1, Ambreen Liaqat1, Ziyad A Altokhais1

  • 1Department of Community Medicine, College of Medicine, Shaqra University, Shaqra, Saudi Arabia.

Frontiers in Digital Health
|April 25, 2025
PubMed
Summary
This summary is machine-generated.

Digital health interventions using smartphones and Web 2.0 technologies significantly aid weight management. These tools, especially those with direct communication, promote weight loss and reduce waist circumference in adults.

Keywords:
BMIWeb 2.0interventionsmartphonewaist circumferenceweight management

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Area of Science:

  • Digital Health
  • Obesity Research
  • Behavioral Science

Background:

  • The increasing adoption of smartphones and Web 2.0 technologies presents a significant opportunity to transform healthcare and community-based interventions.
  • Traditional weight management approaches often face challenges in sustained engagement and accessibility.

Purpose of the Study:

  • To systematically review and meta-analyze the effectiveness of smartphone and Web 2.0 interventions for weight management compared to traditional control interventions.
  • To assess the impact of digital health tools on body weight, body mass index (BMI), waist circumference, and physical activity levels.

Main Methods:

  • A systematic review and meta-analysis of ten randomized control trials (RCTs) published between 2015 and 2024, sourced from PubMed and ScienceDirect.
  • Included studies focused on adult populations, utilized smartphone or app-based interventions versus control groups, and reported weight-related measures and physical activity changes.
  • Statistical analysis was performed using Review Manager software (version 5.4).

Main Results:

  • Digital interventions, particularly those employing direct communication (text messages, social media), significantly promoted weight loss (mean difference -2.12 kg) and reduced waist circumference (mean difference -2.81 cm).
  • Reductions in body mass index (BMI) were less pronounced (mean difference -0.53 kg/m²) but still favored intervention groups.
  • Subgroup analyses indicated more consistent effects in three-arm RCTs, larger sample sizes, and interventions of approximately six months duration. High heterogeneity was noted, suggesting a need for standardized protocols.

Conclusions:

  • Digital health interventions show considerable potential for effective weight management, contributing to the global effort against obesity.
  • Despite limitations like technological challenges and variable engagement, these findings highlight the value of digital tools in addressing non-communicable diseases.