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The Improved Physical Activity Index for Measuring Physical Activity in EPIC Germany

机译:EPIC德国中用于测量体育活动的改进体育活动指数

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摘要

In the European Investigation into Cancer and Nutrition study (EPIC), physical activity (PA) has been indexed as a cross-tabulation between PA at work and recreational activity. As the proportion of non-working participants increases, other categorization strategies are needed. Therefore, our aim was to develop a valid PA index for this population, which will also be able to express PA continuously. In the German EPIC centers Potsdam and Heidelberg, a clustered sample of 3,766 participants was re-invited to the study center. 1,615 participants agreed to participate and 1,344 participants were finally included in this study. PA was measured by questionnaires on defined activities and a 7-day combined heart rate and acceleration sensor. In a training sample of 433 participants, the Improved Physical Activity Index (IPAI) was developed. Its performance was evaluated in a validation sample of 911 participants and compared with the Cambridge Index and the Total PA Index. The IPAI consists of items covering five areas including PA at work, sport, cycling, television viewing, and computer use. The correlations of the IPAI with accelerometer counts in the training and validation sample ranged r = 0.40–0.43 and with physical activity energy expenditure (PAEE) r = 0.33–0.40 and were higher than for the Cambridge Index and the Total PA Index previously applied in EPIC. In non-working participants the IPAI showed higher correlations than the Cambridge Index and the Total PA Index, with r = 0.34 for accelerometer counts and r = 0.29 for PAEE. In conclusion, we developed a valid physical activity index which is able to express PA continuously as well as to categorize participants according to their PA level. In populations with increasing rates of non-working people the performance of the IPAI is better than the established indices used in EPIC.
机译:在欧洲癌症与营养调查(EPIC)研究中,身体活动(PA)已被索引为工作中的PA与娱乐活动之间的交叉表。随着非工作参与者比例的增加,还需要其他分类策略。因此,我们的目标是为该人群开发有效的PA指数,这也将能够连续表达PA。在德国EPIC中心波茨坦和海德堡,将一组3,766名参与者的聚集样本重新邀请到研究中心。 1,615名参与者同意参加,最终1,344名参与者被纳入了这项研究。 PA通过问卷调查确定的活动并结合7天心率和加速度传感器进行测量。在433名参与者的培训样本中,开发了改善的体育活动指数(IPAI)。在911名参与者的验证样本中评估了其性能,并与Cambridge Index和Total PA Index进行了比较。 IPAI包括五个领域的项目,包括工作,运动,骑自行车,电视观看和计算机使用中的PA。 IPAI与训练和验证样本中的加速度计计数之间的相关性在r = 0.40–0.43和体育活动能量消耗(PAEE)之间的相关性r = 0.33–0.40,并且高于先前在剑桥指数和总PA指数中应用的史诗。在非工作参与者中,IPAI的相关性高于剑桥指数和总PA指数,加速度计计数的r = 0.34和PAEE的r = 0.29。总之,我们开发了一个有效的体育活动指数,该指数能够连续表达PA并根据参与者的PA水平对其进行分类。在非劳动人口比率不断增加的人群中,IPAI的绩效优于EPIC中使用的既定指标。

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