Sessford James D, Jung Mary, Brawley Lawrence R, Forbes Jennifer L
University of Saskatchewan, Saskatoon, Saskatoon, Canada.
J Aging Phys Act. 2015 Apr;23(2):272-8. doi: 10.1123/japa.2013-0235. Epub 2014 Jun 9.
Among older adults, preserving community mobility (CM) is important for maintaining independent living. We explored whether perceptions of the environment and self-efficacy for CM (SE-CM) would predict walking performance for tasks reflecting CM. We hypothesized that perceptions of the environment and SE-CM would be additive predictors of walking performance on tasks reflecting the complexity of CM. Independent living older adults (N = 60) aged 64-85 completed six complex walking tasks (CWTs), SE-CM, and the environmental analysis of mobility questionnaire (EAMQ). Multiple regression analyses indicated that for each CWT, the EAMQ scales predicted walking performance (range: model R2Adj. = .078 to .139, p < .04). However, when SE-CM was added to the models, it was the sole significant predictor (p < .05). Contrary to our hypotheses, SE-CM was the best predictor in the additive models. SE-CM may be more correspondent to walking tests and thus a more sensitive predictor of CM walking performance.
在老年人中,保持社区移动能力(CM)对于维持独立生活很重要。我们探讨了对环境的认知以及社区移动自我效能感(SE-CM)是否能预测反映社区移动能力的任务中的步行表现。我们假设,对环境的认知和SE-CM将是反映社区移动复杂性任务中步行表现的累加预测因素。64至85岁的独立生活老年人(N = 60)完成了六项复杂步行任务(CWTs)、SE-CM以及移动性环境分析问卷(EAMQ)。多元回归分析表明,对于每项CWT,EAMQ量表可预测步行表现(范围:模型调整后R² = 0.078至0.139,p < 0.04)。然而,当将SE-CM添加到模型中时,它是唯一显著的预测因素(p < 0.05)。与我们的假设相反,SE-CM是累加模型中的最佳预测因素。SE-CM可能与步行测试更相符,因此是社区移动步行表现更敏感的预测因素。