Namba Hideyuki, Yamaguchi Yukio, Yamada Yosuke, Tokushima Satoru, Hatamoto Yoichi, Sagayama Hiroyuki, Kimura Misaka, Higaki Yasuki, Tanaka Hiroaki
Faculty of Sports and Health Science, Fukuoka University, Fukuoka, Japan.
J Med Internet Res. 2012 Sep 25;14(5):e123. doi: 10.2196/jmir.2253.
Online or Web-based measurement systems have been proposed as convenient methods for collecting physical activity data. We developed two Web-based physical activity systems-the 24-hour Physical Activity Record Web (24hPAR WEB) and 7 days Recall Web (7daysRecall WEB).
To examine the validity of two Web-based physical activity measurement systems using the doubly labeled water (DLW) method.
We assessed the validity of the 24hPAR WEB and 7daysRecall WEB in 20 individuals, aged 25 to 61 years. The order of email distribution and subsequent completion of the two Web-based measurements systems was randomized. Each measurement tool was used for a week. The participants' activity energy expenditure (AEE) and total energy expenditure (TEE) were assessed over each week using the DLW method and compared with the respective energy expenditures estimated using the Web-based systems.
The mean AEE was 3.90 (SD 1.43) MJ estimated using the 24hPAR WEB and 3.67 (SD 1.48) MJ measured by the DLW method. The Pearson correlation for AEE between the two methods was r = .679 (P < .001). The Bland-Altman 95% limits of agreement ranged from -2.10 to 2.57 MJ between the two methods. The Pearson correlation for TEE between the two methods was r = .874 (P < .001). The mean AEE was 4.29 (SD 1.94) MJ using the 7daysRecall WEB and 3.80 (SD 1.36) MJ by the DLW method. The Pearson correlation for AEE between the two methods was r = .144 (P = .54). The Bland-Altman 95% limits of agreement ranged from -3.83 to 4.81 MJ between the two methods. The Pearson correlation for TEE between the two methods was r = .590 (P = .006). The average input times using terminal devices were 8 minutes and 10 seconds for the 24hPAR WEB and 6 minutes and 38 seconds for the 7daysRecall WEB.
Both Web-based systems were found to be effective methods for collecting physical activity data and are appropriate for use in epidemiological studies. Because the measurement accuracy of the 24hPAR WEB was moderate to high, it could be suitable for evaluating the effect of interventions on individuals as well as for examining physical activity behavior.
基于网络的测量系统已被提议作为收集身体活动数据的便捷方法。我们开发了两个基于网络的身体活动系统——24小时身体活动记录网络（24hPAR WEB）和7天回忆网络（7daysRecall WEB）。
使用双标水（DLW）法检验两个基于网络的身体活动测量系统的有效性。
我们评估了24hPAR WEB和7daysRecall WEB在20名年龄在25至61岁之间个体中的有效性。电子邮件分发顺序以及随后完成这两个基于网络的测量系统的顺序是随机的。每个测量工具使用一周。使用DLW法评估参与者每周的活动能量消耗（AEE）和总能量消耗（TEE），并与使用基于网络的系统估计的相应能量消耗进行比较。
使用24hPAR WEB估计的平均AEE为3.90（标准差1.43）兆焦耳，通过DLW法测量的为3.67（标准差1.48）兆焦耳。两种方法之间AEE的Pearson相关系数为r = 0.679（P < 0.001）。两种方法之间Bland - Altman 95%一致性界限为 - 2.10至2.57兆焦耳。两种方法之间TEE的Pearson相关系数为r = 0.874（P < 0.001）。使用7daysRecall WEB的平均AEE为4.29（标准差1.94）兆焦耳，通过DLW法的为3.80（标准差1.36）兆焦耳。两种方法之间AEE的Pearson相关系数为r = 0.144（P = 0.54）。两种方法之间Bland - Altman 95%一致性界限为 - 3.83至4.81兆焦耳。两种方法之间TEE的Pearson相关系数为r = 0.590（P = 0.006）。使用终端设备的平均输入时间，24hPAR WEB为8分10秒，7daysRecall WEB为6分38秒。
发现这两个基于网络的系统都是收集身体活动数据的有效方法，适用于流行病学研究。由于24hPAR WEB的测量准确性为中到高，它可能适用于评估干预对个体的影响以及检查身体活动行为。
