# How Emerging Digital Health Technologies Based on Dietary and Physical Activity Regulation Improve Metabolic Syndrome-Related Outcomes in Adolescents: A Systematic Review

## TL;DR

Digital health tools that track diet and activity can help improve metabolic syndrome in teens.

## Contribution

This study systematically evaluates the effectiveness of digital health technologies in improving metabolic syndrome outcomes in adolescents.

## Key findings

- Digital health interventions combining diet and physical activity improve metabolic syndrome-related outcomes in adolescents.
- Most effective programs lasted 3–6 months and included moderate to high-intensity physical activity.
- Digital tools help monitor and support lifestyle changes linked to better metabolic health.

## Abstract

Background: Metabolic syndrome (MetS) is a pathological condition characterized by the co-occurrence of multiple metabolic abnormalities. The affected population is increasingly shifting toward younger age groups. Emerging digital health technologies, arising from advances in digital society, offer novel methodological tools for lifestyle-based interventions targeting metabolic risk. This systematic review aims to evaluate the effectiveness of emerging digital health technologies based on dietary and physical activity regulation in improving MetS-related outcomes among adolescents, including school-aged children. Methods: This review followed the PRISMA guidelines, systematically searched PubMed, Web of Science, Embase, MEDLINE, and Scopus, and screened eligible studies based on the PICO framework. Results: A total of 12 randomized controlled trials published between 2012 and 2025 were included in the analysis. Single device interventions (5/12) and dual device combinations (5/12) were the predominant approaches used in current digital health technology applications. Intervention content primarily focused on either physical activity alone (5/12) or combined exercise and nutrition interventions (7/12), with most programs lasting 3–6 months (7/12). Across the included digital health interventions, 13 MetS-related measures were assessed, including anthropometric/body composition measures (BMI, BMI z-score, WC, WHR, WHtR, and VFA), blood pressure measures (SBP/DBP), and biochemical markers (BG, HOMA-IR, TG, TC, HDL-C, and LDL-C). Conclusions: The available evidence supports the potential of digital health technologies to improve MetS-related outcomes. Although the selection of biochemical markers varied across studies, the findings highlight the importance of combined exercise and nutrition interventions or physical activity of moderate to high intensity in improving MetS. These results underscore the value of digital health technologies in elucidating the complex interactions among diet, physical activity, and metabolic responses. Overall, these findings support integrating digital health technologies into adolescent lifestyle interventions to facilitate more personalized monitoring and behavior support, and to potentially improve MetS-related outcomes. By promoting timely improvements in these outcome measures, such digital health interventions may have potential longer term implications for chronic disease prevention.