title: Electronic health technology for the assessment of physical activity and eating habits in children and adolescents with overweight and obesity IDA.
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/m(2), 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 (β=-0.95, p<0.01), C-reactive protein (CRP, β=0.15, p=0.07), physical activity, time spent in activities measured with sensors (β=-0.18, p=0.04), stress management (β=0.16, p=0.06), body fat mass at onset of the trial (β=0.45, p<0.01) and body shape (β=-0.25, p=0.01).
  
  
  CONCLUSIONS
  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.
authors.affiliation: MEDIGREIF-Inselklinik Heringsdorf GmbH, Department of Diabetes and Metabolic Diseases, Setheweg 11, D-17424 Ostseebad Heringsdorf, Germany. tbrunner@ethz.ch
authors.forename: Ralf
authors.initials: R
authors.lastname: Schiel
authors.forename: Alexander
authors.initials: A
authors.lastname: Kaps
authors.forename: Gerald
authors.initials: G
authors.lastname: Bieber
mesh_terms: D000293:Adolescent; D020811:Biomedical Technology / Q000295:instrumentation / Q000379:methods*; D015992:Body Mass Index; D040421:Cell Phone; D002648:Child; D004032:Diet; D002149:Energy Intake; D015444:Exercise; D005247:Feeding Behavior; D005260:Female; D006801:Humans; D008297:Male; D015596:Nutrition Assessment; D009765:Obesity / Q000628:therapy*; D050177:Overweight / Q000628:therapy*; D010781:Photography / Q000295:instrumentation; D017216:Telemedicine; D015431:Weight Loss