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other·pediatrics, endocrinology, public health, clinical trial, preclinical research·PMC10057317

The ENDORSE Feasibility Study: Exploring the Use of M-Health, Artificial Intelligence and Serious Games for the Management of Childhood Obesity

Nutrients · 15 authors, 5 centres

AI SUMMARY

FIDELITY 100%

POPULATION50 overweight and obese children (mean age 10.5 years)

INTERVENTIONThe ENDORSE platform, an integrated m-health/AI system with activity trackers, a mobile serious game for children, and apps for parents and healthcare professionals for coordinated obesity management.

COMPARISONAn active control group receiving personalized messages from the clinical team.

This summary was generated by AI from a single paper. It has not been reviewed by a clinician and is not clinical advice. Verify against the source before acting on it.

AGENT 01 · STRUCTURED SUMMARY

TRACE TO SOURCE

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TL;DR

This 3-month feasibility pilot trial evaluated an integrated m-health/AI platform for managing childhood obesity in 50 overweight/obese children, finding a statistically significant reduction in BMI z-score and a correlation between activity tracker usage and weight improvement.

Full summary

995 CHARS

This study assessed the feasibility of the ENDORSE platform, which uses m-health technologies, artificial intelligence, and serious games to deliver coordinated services for childhood obesity management. In a 3-month intervention with 50 overweight/obese children, the platform achieved a clinically and statistically significant mean BMI z-score reduction of -0.21 ± 0.26 (p < 0.001). A significant correlation was found between activity tracker usage and BMI z-score improvement (r = -0.355, p = 0.017). Adherence was measured via platform usage metrics, showing a low 10% attrition rate. The study also reported significant positive changes in health behaviors, including increased fruit and vegetable intake and physical activity. Limitations included the impact of the COVID-19 pandemic on the control group and sample size, and the use of BMI as a proxy for body fat levels. The results suggest the platform's potential, but large-scale clinical trials are needed to confirm effectiveness.

PICO

PPOPULATION

50 overweight and obese children (mean age 10.5 years)

IINTERVENTION

The ENDORSE platform, an integrated m-health/AI system with activity trackers, a mobile serious game for children, and apps for parents and healthcare professionals for coordinated obesity management.

OOUTCOME

Change in BMI z-score over 3 months.

STUDY TYPE

other

SPECIALTY

pediatrics

SUMMARISED BY

AI pipeline

FIDELITY CHECK

100% · A

ORIGINAL PAPER

PMC10057317

The ENDORSE Feasibility Study: Exploring the Use of M-Health, Artificial Intelligence and Serious Games for the Management of Childhood Obesity

Nutrients

READ THE FULL PAPER

ABSTRACT

Childhood obesity constitutes a major risk factor for future adverse health conditions. Multicomponent parent–child interventions are considered effective in controlling weight. Τhe ENDORSE platform utilizes m-health technologies, Artificial Intelligence (AI), and serious games (SG) toward the creation of an innovative software ecosystem connecting healthcare professionals, children, and their parents in order to deliver coordinated services to combat childhood obesity. It consists of activity trackers, a mobile SG for children, and mobile apps for parents and healthcare professionals. The heterogeneous dataset gathered through the interaction of the end-users with the platform composes the unique user profile. Part of it feeds an AI-based model that enables personalized messages. A feasibility pilot trial was conducted involving 50 overweight and obese children (mean age 10.5 years, 52% girls, 58% pubertal, median baseline BMI z-score 2.85) in a 3-month intervention. Adherence was measured by means of frequency of usage based on the data records. Overall, a clinically and statistically significant BMI z-score reduction was achieved (mean BMI z-score reduction −0.21 ± 0.26, p -value < 0.001). A statistically significant correlation was revealed between the level of activity tracker usage and the improvement of BMI z-score (−0.355, p = 0.017), highlighting the potential of the ENDORSE platform.

CITATION EXPORT

Konstantia Zarkogianni, Evi Chatzidaki, Nektaria Polychronaki et al.. The ENDORSE Feasibility Study: Exploring the Use of M-Health, Artificial Intelligence and Serious Games for the Management of Childhood Obesity. Nutrients. (2023). https://doi.org/10.3390/nu15061451

AUTHORS

15 · 5 CENTRES

Konstantia Zarkogianni, Evi Chatzidaki, Nektaria Polychronaki, Eleftherios Kalafatis, Nicolas C. Nicolaides, Antonis Voutetakis, Vassiliki Chioti, Rosa-Anna Kitani, Kostas Mitsis, Κonstantinos Perakis, Maria Athanasiou, Danae Antonopoulou, Panagiota Pervanidou, Christina Kanaka-Gantenbein, Konstantina Nikita

1School of Electrical and Computer Engineering, National Technical University of Athens, 15780 Athens, [email protected] (K.N.)
2First Department of Pediatrics, Medical School, National and Kapodistrian University of Athens, Aghia Sophia Children’s Hospital, 11527 Athens, Greece; [email protected] (E.C.); [email protected] (P.P.); [email protected] (C.K.-G.)
3Department of Pediatrics, School of Medicine, Democritus University of Thrace, 68100 Alexandroupolis, Greece
4UBITECH, Big Data Science & Analytics Unit, 15231 Athens, Greece
5Inspiring Earth, Pegneon, 11521 Athens, Greece

EDITOR / REVIEWER

Zumin Shi