Glasgow Caledonian University, School of Health and Social Care, Cowcaddens Road, Glasgow G4 0BA, Scotland, UK.
Gait Posture. 2010 Jan;31(1):82-6. doi: 10.1016/j.gaitpost.2009.09.002. Epub 2009 Oct 24.
The purpose of this study was to develop and test a generic technique to robustly quantify the pattern of sedentary behaviour from objective records. The technique was applied to four groups of subjects: a healthy group with an active occupation (N=54), a healthy group with a sedentary occupation (N=53), a group of subjects with chronic low back pain (N=5) and a group of subjects with chronic fatigue syndrome (N=14). This study presents the first evidence that bouts of sedentary activity are power law distributed. Results showed that there was no significant difference in total sedentary time between the groups, however, the patterns of accumulation of sedentary time were significantly different for the groups. Sedentary groups accumulated their total sedentary time from a small number of longer sedentary bouts. Active groups tended to break their sedentary time into a greater number of shorter bouts. This suggests that the power law exponent alpha and the GINI index G, used to describe the pattern of accumulation of sedentary time, could be used to evaluate and quantify sedentary behaviour.
本研究旨在开发并验证一种通用技术,以从客观记录中稳健地量化久坐行为模式。该技术应用于四组受试者:一组从事活跃职业的健康受试者(N=54),一组从事久坐职业的健康受试者(N=53),一组慢性下背痛受试者(N=5)和一组慢性疲劳综合征受试者(N=14)。本研究首次提供证据表明,久坐活动的发作呈幂律分布。结果表明,各组之间的总久坐时间无显著差异,但久坐时间的累积模式存在显著差异。久坐组通过少数较长的久坐发作来累积其总久坐时间。而活跃组倾向于将其久坐时间分解为更多较短的发作。这表明,用于描述久坐时间累积模式的幂律指数 α 和基尼系数 G 可用于评估和量化久坐行为。