Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany.
Division of Preventive Oncology (G110), National Center for Tumor Diseases (NCT), German Cancer Research Center (DKFZ), Heidelberg, Germany.
PLoS One. 2014 Mar 18;9(3):e92005. doi: 10.1371/journal.pone.0092005. eCollection 2014.
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.
在欧洲癌症与营养调查研究(EPIC)中,体力活动(PA)被索引为工作时体力活动与娱乐性活动的交叉分类。随着非工作参与者比例的增加,需要其他分类策略。因此,我们的目的是为该人群开发一个有效的 PA 指数,该指数也将能够连续表达 PA。在德国 EPIC 中心波茨坦和海德堡,对 3766 名参与者的聚类样本进行了重新邀请到研究中心。1615 名参与者同意参与,最终有 1344 名参与者纳入本研究。PA 通过问卷调查定义的活动和 7 天综合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,开发了改良体力活动指数(IPAI)。在 911 名参与者的验证样本中评估了其性能,并与剑桥指数和总体力活动指数进行了比较。IPAI 由涵盖工作、运动、骑自行车、看电视和使用计算机等五个领域的项目组成。在培训和验证样本中,IPAI 与加速度计计数的相关性范围为 r=0.40-0.43,与体力活动能量消耗(PAEE)的相关性为 r=0.33-0.40,高于 EPIC 中先前应用的剑桥指数和总体力活动指数。在非工作参与者中,IPAI 与剑桥指数和总体力活动指数的相关性更高,加速度计计数的 r=0.34,PAEE 的 r=0.29。总之,我们开发了一个有效的体力活动指数,它能够连续表达 PA,并且能够根据参与者的 PA 水平对其进行分类。在非工作人群比例不断增加的人群中,IPAI 的性能优于 EPIC 中使用的既定指数。