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中风后社区居民对结构化运动计划的依从性及身体活动参与情况的预测因素

Predictors of adherence to a structured exercise program and physical activity participation in community dwellers after stroke.

作者信息

Tiedemann Anne, Sherrington Catherine, Dean Catherine M, Rissel Chris, Lord Stephen R, Kirkham Catherine, O'Rourke Sandra D

机构信息

The George Institute for Global Health, The University of Sydney, Sydney, NSW 2006, Australia.

出版信息

Stroke Res Treat. 2012;2012:136525. doi: 10.1155/2012/136525. Epub 2011 Oct 11.

Abstract

Aim. To investigate predictors of adherence to group-based exercise and physical activity participation among stroke survivors. Methods. 76 stroke survivors participated (mean age 66.7 years). Adherence was the percentage of classes attended over one year. Physical activity was the average pedometer steps/day measured over seven days at the end of the trial. Possible predictors included baseline measures of demographics, health, quality of life, falls, fear of falling, cognition, and physical functioning. Results. Mean class attendance was 60% (SD 29%). Only one variable (slow choice stepping reaction time) was an independent predictor of higher class attendance, explaining 5% of the variance. Participants completed an average of 4,365 steps/day (SD 3350). Those with better physical functioning (choice stepping reaction time, postural sway, maximal balance range, 10-m walk, or 6-min walk) or better quality of life (SF-12 score) took more steps. A model including SF-12, maximal balance range, and 6-min walk accounted for 33% of the variance in average steps/day. Conclusions. The results suggest that better physical functioning and health status are predictors of average steps taken per day in stroke survivors and that predicting adherence to group exercise in this group is difficult.

摘要

目的。探讨中风幸存者坚持参加集体锻炼和体育活动的预测因素。方法。76名中风幸存者参与研究(平均年龄66.7岁)。坚持率是指一年中参加课程的百分比。身体活动量是在试验结束时通过七天测量的平均每日计步器步数。可能的预测因素包括人口统计学、健康状况、生活质量、跌倒、害怕跌倒、认知能力和身体功能的基线测量值。结果。平均课程出席率为60%(标准差29%)。只有一个变量(缓慢的选择步幅反应时间)是较高课程出席率的独立预测因素,解释了5%的方差。参与者平均每天完成4365步(标准差3350)。身体功能较好(选择步幅反应时间、姿势摆动、最大平衡范围、10米步行或6分钟步行)或生活质量较好(SF-12评分)的人步数更多。一个包括SF-12、最大平衡范围和6分钟步行的模型解释了平均每日步数33%的方差。结论。结果表明,较好的身体功能和健康状况是中风幸存者每日平均步数的预测因素,并且预测该群体对集体锻炼的坚持情况较为困难。

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