Objective： Sit-stand desks have been designed to address high daily sitting in work and school environments. The purpose was to determine the daily pattern of use and overall likeability of sit-stand desk over the co...Objective： Sit-stand desks have been designed to address high daily sitting in work and school environments. The purpose was to determine the daily pattern of use and overall likeability of sit-stand desk over the course of a semester. Participants： A total of 18 subjects （12 standing） completed the 11-week study （week 5-15 of the semester） from January-April, 2016. Methods： Each student in the standing group was given a sit-stand desk to use as they desired. Results： Individual daily standing time ranged from 0-100% of daily attendance time and the daily group average ranged from 2.1-38.4%. Two-thirds of the standing bouts were ≤ 2 min. Perception questionnaire answers were positive for using the desk and their effect on students’ ability to work in class. Conclusions： The results indicate the sit-stand desks were utilized at low levels and for short durations for most participants, but perceptions of desk use remained positive.展开更多
目的探究有踝关节扭伤史人群在坐站转移(sit-to-stand,STS)过程中的姿势控制模式及其肌肉协同特征,为优化康复干预策略提供理论依据。方法招募12名有踝关节扭伤史的受试者(踝扭组),并匹配12名正常受试者(对照组)。使用红外动作捕捉系统...目的探究有踝关节扭伤史人群在坐站转移(sit-to-stand,STS)过程中的姿势控制模式及其肌肉协同特征,为优化康复干预策略提供理论依据。方法招募12名有踝关节扭伤史的受试者(踝扭组),并匹配12名正常受试者(对照组)。使用红外动作捕捉系统、测力台和表面肌电测试仪采集STS动作数据。在Visual 3D中构建刚体模型,并借助Matlab软件计算人体压力中心(center of pressure,COP)和质心(center of mass,COM)相关指标。在Rv 4.4.2中采用高斯非负矩阵算法计算肌肉协同模式。结果在离座前阶段,踝扭组COP前后方向的样本熵以及左右方向的频率、样本熵均低于对照组(P<0.05);COM前后方向的样本熵和左右方向的频率也低于对照组(P<0.05);在离座后阶段,踝扭组COM前后方向的样本熵高于对照组,COM左右方向的动量低于对照组(P<0.05)。肌肉协同分析显示,两组均存在4个协同元,其中,踝扭组协同元3的半波宽显著高于对照组(P<0.001)。结论有踝关节扭伤史的人群与正常人相比在STS过程中姿势控制策略与肌肉协同模式不同,具体表现为有踝关节扭伤史人群通过增强下肢近侧端肌肉协同模式代偿踝关节协同功能不足策略,从而表现出更为固化的侧向姿势控制策略。展开更多
目的:比较三种功能性移动能力测试工具在预测老年人跌倒危险方面的有效性。方法:116名老年人受试者参与本研究并分为跌倒组和非跌倒组。对受试者进行5次坐到站测试(five times sit to stand test,FTSST)、3m计时起立行走测试(timed up a...目的:比较三种功能性移动能力测试工具在预测老年人跌倒危险方面的有效性。方法:116名老年人受试者参与本研究并分为跌倒组和非跌倒组。对受试者进行5次坐到站测试(five times sit to stand test,FTSST)、3m计时起立行走测试(timed up and go test,TUGT)和计时10m步行测试(timed 10-meter walk test,TWT)。结果:跌倒组和非跌倒组的受试者在FTSST、TUGT和TWT之间的比较有显著差异(P<0.001)。Spearman相关分析结果均显示FTSST、TUGT和TWT与跌倒史之间显著相关(P<0.001)。Logistic回归分析显示FTSST、TUGT和TWT的时间与跌倒危险显著关联(OR:1.1643—1.2503)。接受者操作特征(ROC)曲线下的面积比较FTSST、TUGT和TWT之间无显著性差异(P>0.05),并且三种测试工具可以显著预测跌倒危险(AUC:0.68—0.73,P<0.001)。结论:FTSST、TUGT和TWT作为简便、快捷的功能性测试工具可以有效预测老年人跌倒危险。展开更多
文摘Objective： Sit-stand desks have been designed to address high daily sitting in work and school environments. The purpose was to determine the daily pattern of use and overall likeability of sit-stand desk over the course of a semester. Participants： A total of 18 subjects （12 standing） completed the 11-week study （week 5-15 of the semester） from January-April, 2016. Methods： Each student in the standing group was given a sit-stand desk to use as they desired. Results： Individual daily standing time ranged from 0-100% of daily attendance time and the daily group average ranged from 2.1-38.4%. Two-thirds of the standing bouts were ≤ 2 min. Perception questionnaire answers were positive for using the desk and their effect on students’ ability to work in class. Conclusions： The results indicate the sit-stand desks were utilized at low levels and for short durations for most participants, but perceptions of desk use remained positive.
文摘目的探究有踝关节扭伤史人群在坐站转移(sit-to-stand,STS)过程中的姿势控制模式及其肌肉协同特征,为优化康复干预策略提供理论依据。方法招募12名有踝关节扭伤史的受试者(踝扭组),并匹配12名正常受试者(对照组)。使用红外动作捕捉系统、测力台和表面肌电测试仪采集STS动作数据。在Visual 3D中构建刚体模型,并借助Matlab软件计算人体压力中心(center of pressure,COP)和质心(center of mass,COM)相关指标。在Rv 4.4.2中采用高斯非负矩阵算法计算肌肉协同模式。结果在离座前阶段,踝扭组COP前后方向的样本熵以及左右方向的频率、样本熵均低于对照组(P<0.05);COM前后方向的样本熵和左右方向的频率也低于对照组(P<0.05);在离座后阶段,踝扭组COM前后方向的样本熵高于对照组,COM左右方向的动量低于对照组(P<0.05)。肌肉协同分析显示,两组均存在4个协同元,其中,踝扭组协同元3的半波宽显著高于对照组(P<0.001)。结论有踝关节扭伤史的人群与正常人相比在STS过程中姿势控制策略与肌肉协同模式不同,具体表现为有踝关节扭伤史人群通过增强下肢近侧端肌肉协同模式代偿踝关节协同功能不足策略,从而表现出更为固化的侧向姿势控制策略。
文摘目的:比较三种功能性移动能力测试工具在预测老年人跌倒危险方面的有效性。方法:116名老年人受试者参与本研究并分为跌倒组和非跌倒组。对受试者进行5次坐到站测试(five times sit to stand test,FTSST)、3m计时起立行走测试(timed up and go test,TUGT)和计时10m步行测试(timed 10-meter walk test,TWT)。结果:跌倒组和非跌倒组的受试者在FTSST、TUGT和TWT之间的比较有显著差异(P<0.001)。Spearman相关分析结果均显示FTSST、TUGT和TWT与跌倒史之间显著相关(P<0.001)。Logistic回归分析显示FTSST、TUGT和TWT的时间与跌倒危险显著关联(OR:1.1643—1.2503)。接受者操作特征(ROC)曲线下的面积比较FTSST、TUGT和TWT之间无显著性差异(P>0.05),并且三种测试工具可以显著预测跌倒危险(AUC:0.68—0.73,P<0.001)。结论:FTSST、TUGT和TWT作为简便、快捷的功能性测试工具可以有效预测老年人跌倒危险。
