Community Ambulation in Older Adults: Which Internal Characteristics Are Important?

Community Ambulation in Older Adults: Which Internal Characteristics Are Important?
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DOI:
10.1016/j.apmr.2009.11.008
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发表时间:
2010-03-01
影响因子:
4.3
通讯作者:
Rochester, Lynn
Rochester, Lynn
中科院分区:
医学1区
文献类型:
--
作者:
Lord, Susan E.;Weatherall, Mark;Rochester, Lynn

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老年人的社区步行:哪些内在特征是重要的?Arch Phys Med Rehabil 2010;91:378-83.目的:考察独立于社区步行的老年人的内在特征,以进一步了解其成功实施所需的技能。设计:探索性因素分析。背景:一般社区。参与者:113名健康的社区老年人(N=113),他们认知完好,独立走在户外。干预措施:不适用。主要观察指标:通过户外步行超过6分钟的加速测量得出的时空步态参数以及一系列运动、认知、执行和行为特征的测量。结果:参与者的平均年龄+/-SD为75.8+/-7.3岁,其中近三分之一的样本年龄在80岁以上。由23个变量组成的因子分析得出四个因素:运动控制、自我效能、执行功能和认知-运动干扰,这四个因素加在一起可以解释61.4%的共同变量。8个变量加载到运动控制上,解释了34.5%的公共变量;7个项目加载到自我效能上,解释了12.4%的公共变量;5个变量加载到执行功能上,解释了8.4%的公共变量;3个变量加载到认知-运动干扰上,解释了6%的变量。结论:本研究结果表明,运动控制以外的因素有助于老年人独立的社区步行,反映了任务的多维性和复杂性。自我效能感被证明比执行功能与步态表现更相关,这表明需要更广泛的方法来评估和干预策略。
Lord SE, Weatherall M, Rochester L. Community ambulation in older adults: which internal characteristics are important? Arch Phys Med Rehabil 2010;91:378-83.Objective: To examine the internal characteristics of older adults independent in community ambulation to gain further understanding of the skills required for its successful execution.Design: Exploratory factor analysis.Setting: General community.Participants: Healthy, community dwelling older adults (N=113) who were cognitively intact and walked outdoors independently.Interventions: Not applicable.Main Outcome Measures: Spatiotemporal gait parameters derived from accelerometry over 6 minutes walking outdoors and a battery of measures for motor, cognitive, executive, and behavioral characteristics.Results: Mean participant age +/- SD was 75.8+/-7.3 years, with almost a third of the sample over 80 years. Four factors emerged from the Factor Analysis of 23 variables: motor control, self-efficacy, executive function, and cognitive-motor interference, which together explained 61.4% of common variance. Eight variables loaded onto motor control, accounting for 34.5% of common variance; 7 items loaded onto self-efficacy, which explained 12.4% of common variance; 5 variables loaded onto executive function, accounting for 8.4% of common variance; and 3 variables loaded onto cognitive-motor interference, explaining 6% of the variance.Conclusions: Results of this study indicate that factors beyond motor control contribute to independent community ambulation in older adults, reflecting the multidimensional, complex nature of the task. Self-efficacy was shown to be more relevant than executive function to gait performance, suggesting the need for a broader approach to assessment and intervention strategies.