Dept of Human Movement Sciences, University of Wisconsin-Milwaukee, WI, USA.
J Phys Act Health. 2011 Aug;8(6):848-57. doi: 10.1123/jpah.8.6.848.
Emerging interest in the health impacts of sedentary behaviors has driven the exploration of objective instrumentation capable of capturing these behaviors. The purpose was to compare (under laboratory conditions) outputs from ActiGraph (AG), Intelligent Device for Energy Expenditure and Physical Activity (IDEEA), and activPAL Professional (AP) against direct observation (DO) in sedentary, standing, and active behaviors; and assess convergent validity of instrument outputs under free-living conditions.
Participants (13 males/16 females; 28.9 ± 6.2 years) wore instruments concurrently during laboratory and free-living studies. AG cutpoints of ≤50, <100, and ≤259 counts/minute were used to determine time in sedentary behaviors. Laboratory data were evaluated using mean percent error. Free-living data were analyzed using dependent t tests and RM ANOVA.
AP precisely measured all identified DO behaviors under laboratory conditions; IDEEA precisely identified sitting and standing. For the free-living study, there was no difference in sedentary time detected by AP and IDEEA but a significant difference was observed in standing time. No difference was apparent between AP and AG259 in sit/lie/stand or ambulatory activity time.
In a laboratory setting, the utility of all instruments to classify activities into behavioral categories was confirmed. This may enhance research on sedentary behaviors and health-related outcomes.
人们对久坐行为对健康影响的兴趣日益浓厚，推动了对能够捕捉这些行为的客观仪器的探索。目的是在实验室条件下比较 ActiGraph（AG）、智能能量消耗和身体活动设备（IDEEA）和 activPAL 专业版（AP）与直接观察（DO）在久坐、站立和活动行为中的输出；并评估仪器在自由生活条件下的输出的收敛效度。
参与者（男性 13 名/女性 16 名；28.9 ± 6.2 岁）在实验室和自由生活研究期间同时佩戴仪器。AG 采用≤50、<100 和≤259 计数/分钟的切点来确定久坐行为时间。使用平均百分比误差评估实验室数据。使用依赖 t 检验和 RM ANOVA 分析自由生活数据。
AP 在实验室条件下精确测量了所有确定的 DO 行为；IDEEA 精确识别了坐姿和站立。对于自由生活研究，AP 和 IDEEA 检测到的久坐时间没有差异，但站立时间有显著差异。AP 和 AG259 在坐/躺/站或活动时间方面没有差异。
在实验室环境中，所有仪器将活动分类为行为类别的效用得到了确认。这可能会促进对久坐行为和与健康相关结果的研究。
