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Electronic health technology for the assessment of physical activity and eating habits in children and adolescents with overweight and obesity IDA

 
: Schiel, Ralf; Kaps, Alexander; Bieber, Gerald

:

Appetite 58 (2012), No.2, pp.432-437
ISSN: 0195-6663
English
Journal Article
Fraunhofer IGD ()
telemedicine; E-health; physical activity monitoring; nutrition monitoring

Abstract
Objective: It was the goal of the trial to study the impact of electronic healthcare technology into treatment.
Methods: One hundred and twenty-four children/adolescents (females 56%, age 13.5 ± 2.8 years, height 1.64 ± 0.13 m, weight 85.4 ± 23.0 kg, body-mass index (BMI) 31.3 ± 5.2 kg/m2, BMI-standard deviation score (SDS) 2.50 ± 0.5) were included. To assess physical activity and eating habits, a mobile motion sensor integrated into a mobile phone with digital camera was used.
Results: The children/adolescents had a significant weight reduction of 7.1 ± 3.0 kg. BMI/BMI-SDS decreased (p < 0.01). Intensity (14.1 ± 6.4 activity units) and duration of physical activity (290.4 ± 92.6 min/day) were assessed with sensors. Time walking: median 45.5 (range, 2.5-206.5), running 8.0 (range, 0-39.5), cycling 27.7 (range, 0-72.5), car driving 23.7 (range, 0-83.0) min/day. Comparing self-reported physical activity (walking 292.9 (range, 9.6-496.1), running 84.8 (range, 8.4-130.2) min/day) with assessment with sensors there were significant differences (p < 0.01). Duration of physical activity documented by children/adolescents was higher than the assessment with motion sensors (walking 292.9 vs 45.5 min, p < 0.01, running 84.8 vs 8.0 min, p < 0.01). Sensor derived energy intake was higher than recommended (469.14 ± 88.75 kcal vs 489.03 ± 108.25 kcal, p = 0.09). Performing multivariate analysis the following parameters showed associations with weight reduction (R-square = 0.75): body weight (ß = 0.95, p < 0.01), C-reactive protein (CRP, ß = 0.15, p = 0.07), physical activity, time spent in activities measured with sensors (ß = 0.18, p = 0.04), stress management (ß = 0.16, p = 0.06), body fat mass at onset of the trial (ß = 0.45, p < 0.01) and body shape (ß = 0.25, p = 0.01).
Conclusion: The innovative mobile movement detection system is highly accepted by children and adolescents. The system is able to augment existing weight reduction and stabilization strategies.

: http://publica.fraunhofer.de/documents/N-206717.html