Validation of Web-based physical activity measurement systems using doubly labeled water.
Validation of Web-based physical activity measurement systems using doubly labeled water.
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DOI：
10.2196/jmir.2253
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发表时间：
2012-09-25
影响因子：
7.4
通讯作者：
Tanaka H
中科院分区：
文献类型：
--
作者：
Namba H;Yamaguchi Y;Yamada Y;Tokushima S;Hatamoto Y;Sagayama H;Kimura M;Higaki Y;Tanaka H
在线或基于网络的测量系统已被提出作为收集身体活动数据的方便方法。我们开发了两个基于Web的身体活动系统——24小时身体活动记录Web （24hPAR Web）和7天回忆Web （7daysRecall Web）。采用双标签水（DLW）方法检验两种基于网络的体力活动测量系统的有效性。我们对20名年龄在25至61岁的个体进行了24hPAR和7天回忆的效度评估。电子邮件分发的顺序和随后两个基于web的测量系统的完成是随机的。每种测量工具使用一周。每周使用DLW方法评估参与者的活动能量消耗（AEE）和总能量消耗（TEE），并与使用基于web的系统估计的各自的能量消耗进行比较。使用24hPAR WEB估计的平均AEE为3.90 (SD 1.43) MJ，使用DLW方法测量的平均AEE为3.67 (SD 1.48) MJ。两种方法的AEE Pearson相关性为r = 0.679 （P < 0.001）。两种方法的Bland-Altman 95%一致性限为-2.10 ~ 2.57 MJ。两种方法TEE的Pearson相关性为r = 0.874 （P < 0.001）。7daysRecall法平均AEE为4.29 (SD 1.94) MJ， DLW法平均AEE为3.80 (SD 1.36) MJ。两种方法AEE的Pearson相关性为r = 0.144 （P = 0.54）。两种方法的Bland-Altman 95%一致性限为-3.83 ~ 4.81 MJ。两种方法TEE的Pearson相关性为r = 0.590 （P = 0.006）。24hPAR组的平均输入时间为8分10秒，7days组的平均输入时间为6分38秒。发现这两种基于网络的系统都是收集身体活动数据的有效方法，适合用于流行病学研究。由于24hPAR WEB的测量精度为中高，既适合于评估干预措施对个体的影响，也适合于检查身体活动行为。
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.
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影响因子：
120.7
作者：
PATE, RR;PRATT, M;WILMORE, JH
通讯作者：
WILMORE, JH
影响因子：
120.7
作者：
Lakka, HM;Laaksonen, DE;Salonen, JT
通讯作者：
Salonen, JT
影响因子：
5
作者：
SALLIS, JF;HASKELL, WL;PAFFENBARGER, RS
通讯作者：
PAFFENBARGER, RS
影响因子：
7.1
作者：
BOUCHARD, C;TREMBLAY, A;THERIAULT, G
通讯作者：
THERIAULT, G
影响因子：
7.4
作者：
Bexelius, Christin;Lof, Marie;Litton, Jan-Eric
通讯作者：
Litton, Jan-Eric