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首页> 外文期刊>Gait & posture >Methods for objective measure, quantification and analysis of sedentary behaviour and inactivity.
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Methods for objective measure, quantification and analysis of sedentary behaviour and inactivity.

机译:久坐行为和不活动的客观测量,量化和分析方法。

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摘要

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.
机译:这项研究的目的是开发和测试一种通用技术,以从客观记录中可靠地量化久坐行为的模式。该技术被应用于四组受试者:健康组,活跃职业(N = 54),健康组,久坐职业(N = 53),一组慢性下腰痛(N = 5)一组患有慢性疲劳综合症的受试者(N = 14)。这项研究提出了久坐活动发作是幂律分布的第一个证据。结果表明,两组之间的总久坐时间没有显着差异,但各组的久坐时间积累模式却存在显着差异。久坐不动的人群从少数久坐不动的比赛中累积了久坐时间。活跃的群体倾向于将久坐的时间分成许多较短的回合。这表明,用来描述久坐时间积累模式的幂律指数alpha和GINI指数G可​​用于评估和量化久坐行为。

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