Department of Movement and Sport Sciences, Ghent University, Ghent, Belgium.
J Adolesc Health. 2010 May;46(5):458-66. doi: 10.1016/j.jadohealth.2009.10.006. Epub 2010 Jan 13.
The present study investigates the effect of the Activ-O-Meter, an internet-based computer-tailored physical activity intervention in adolescents in six European centers involved in the HELENA study.
Adolescents (12-17 years old) from Vienna, Ghent, Heraklion, Dortmund, Athens, and Stockholm were randomized into intervention and control schools. Participants in the intervention condition received the computer-tailored advice at baseline and after 1 month. Participants in the control condition received a generic standard advice. Effects were evaluated after 1 (n = 675) and 3 months (n = 494) using multi-level modeling. Physical activity levels were measured using the International Physical Activity Questionnaire for adolescents (IPAQ-A).
After 1 month, the intervention group reported higher levels of moderate (beta = -32.8, 95% CI (confidence interval): -64.2 to -1.4) and vigorous (beta = -28.0, 95% CI: -50.7 to -5.3) physical activity in leisure time, as well as higher levels of cycling for transport (beta = -19.1, 95% CI: -34.4 to -7.6) compared to the control group. After 3 months, when the intervention group had received the tailored feedback twice, intervention effects were even stronger. Favorable changes in physical activity levels of all intensities and in different contexts were found in the tailored group compared to the control group. Among adolescents not reaching the physical activity recommendations at baseline similar effects as in the total sample were found.
The data indicated that the computer-tailored physical activity intervention had positive effects on physical activity levels among the adolescents. However, the implementation of the computer-tailored intervention in the schools was not feasible in all countries.
本研究调查了基于互联网的计算机个性化身体活动干预措施——Activ-O-Meter 在参与 HELENA 研究的六个欧洲中心的青少年中的效果。
来自维也纳、根特、赫拉克利翁、多特蒙德、雅典和斯德哥尔摩的青少年（12-17 岁）被随机分配到干预组和对照组的学校。干预组的参与者在基线和 1 个月后收到计算机个性化建议。对照组的参与者收到了一般性标准建议。使用多层次模型评估 1 个月（n=675）和 3 个月（n=494）后的效果。使用青少年国际体力活动问卷（IPAQ-A）测量体力活动水平。
1 个月后，干预组报告称，在休闲时间中，中高强度体力活动（beta=-32.8，95%置信区间（CI）：-64.2 至-1.4）和剧烈体力活动（beta=-28.0，95%CI：-50.7 至-5.3）水平更高，以及用于交通的自行车活动（beta=-19.1，95%CI：-34.4 至-7.6）水平更高，与对照组相比。3 个月后，当干预组两次收到个性化反馈时，干预效果甚至更强。在个性化组中，与对照组相比，所有强度和不同背景下的体力活动水平都发生了有利的变化。在基线时未达到体力活动建议的青少年中，也发现了与总样本相似的效果。
数据表明，计算机个性化身体活动干预对青少年的体力活动水平有积极影响。然而，在所有国家实施学校的计算机个性化干预都是不可行的。
