电子健康技术在评估超重和肥胖青少年的身体活动和饮食习惯中的应用 IDA。

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

机构信息

MEDIGREIF-Inselklinik Heringsdorf GmbH, Department of Diabetes and Metabolic Diseases, Setheweg 11, D-17424 Ostseebad Heringsdorf, Germany.

出版信息

Appetite. 2012 Apr;58(2):432-7. doi: 10.1016/j.appet.2011.11.021. Epub 2011 Dec 1.

DOI:10.1016/j.appet.2011.11.021

PMID:22155072

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).

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.

摘要

目的

研究电子医疗技术对治疗的影响。

方法

共纳入 124 名儿童/青少年（女性 56%，年龄 13.5±2.8 岁，身高 1.64±0.13m，体重 85.4±23.0kg，体重指数（BMI）31.3±5.2kg/m²，BMI-标准差分数（BMI-SDS）2.50±0.5）。为评估体力活动和饮食习惯，使用集成在具有数码相机的移动电话中的移动运动传感器。

结果

儿童/青少年体重显著减轻 7.1±3.0kg。BMI/BMI-SDS 降低（p<0.01）。传感器评估体力活动强度（14.1±6.4 活动单位）和持续时间（290.4±92.6 分钟/天）。行走时间：中位数 45.5（范围，2.5-206.5），跑步 8.0（范围，0-39.5），骑车 27.7（范围，0-72.5），开车 23.7（范围，0-83.0）分钟/天。与自我报告的体力活动（行走 292.9（范围，9.6-496.1），跑步 84.8（范围，8.4-130.2）分钟/天）相比，传感器评估存在显著差异（p<0.01）。儿童/青少年记录的体力活动持续时间高于运动传感器评估（行走 292.9 与 45.5 分钟，p<0.01，跑步 84.8 与 8.0 分钟，p<0.01）。传感器得出的能量摄入高于推荐值（469.14±88.75kcal 与 489.03±108.25kcal，p=0.09）。进行多元分析后，以下参数与体重减轻相关（R²=0.75）：体重（β=-0.95，p<0.01），C 反应蛋白（CRP，β=0.15，p=0.07），体力活动，用传感器测量的活动时间（β=-0.18，p=0.04），压力管理（β=0.16，p=0.06），试验开始时的体脂肪量（β=0.45，p<0.01）和体型（β=-0.25，p=0.01）。