Background It is important to understand the factors associated with life-space mobility so that mobility disability can be prevented/treated. The purpose of this study was to identify the association between mobility determinants and life space among older adults. Methods This study was a cross-sectional analysis of 249 community-dwelling older adults (mean age = 77.4 years, 65.5% female, 88% White), who were recruited for a randomized, controlled, clinical intervention trial. Associations between cognitive, physical, psychosocial, financial, and environmental mobility determinants and the life-space assessment (LSA) at baseline were determined using Spearman’s correlation coefficients and one-way analysis of variance. Multivariate analysis was performed using multivariable linear regression models. Results The mean LSA score for the sample was 75.3 (SD = 17.8). Personal factors (age, gender, education, comorbidities), cognitive (Trail Making Test A and B), physical (gait speed, lower extremity power, 6-Minute Walk Test, Figure of 8 Walk Test, tandem stance, energy cost of walking, and Late-Life Function and Disability Function Scale), psychosocial (Modified Gait Efficacy Scale), and financial (neighborhood socioeconomic status) domains of mobility were significantly associated with LSA score. In the final regression model, age (β = −0.43), lower extremity power (β = 0.03), gait efficacy (β = 0.19), and energy cost of walking (β = −57.41) were associated with life space (R2 = 0.238). Conclusions Younger age, greater lower extremity power, more confidence in walking, and lower energy cost of walking were associated with greater life space. Clinicians treating individuals with mobility disability should consider personal, physical, and psychosocial factors when assessing barriers to life-space mobility.

中文翻译：

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老年人流动性决定因素与生活空间的关联

背景 了解与生活空间流动性相关的因素非常重要，这样才能预防/治疗行动障碍。本研究的目的是确定老年人流动性决定因素与生活空间之间的关联。方法 本研究是对 249 名居住在社区的老年人（平均年龄 = 77.4 岁，65.5% 为女性，88% 为白人）的横断面分析，他们被招募参加一项随机、对照、临床干预试验。使用 Spearman 相关系数和单向方差分析确定基线时认知、身体、社会心理、财务和环境流动性决定因素与生活空间评估 (LSA) 之间的关联。使用多变量线性回归模型进行多变量分析。结果样本的平均 LSA 分数为 75.3 (SD = 17.8)。个人因素（年龄、性别、教育、合并症）、认知（步道制作测试 A 和 B）、身体（步速、下肢力量、6 分钟步行测试、8 字形步行测试、双人站立、步行的能量消耗和晚年功能和残疾功能量表）、社会心理（改良步态效能量表）和财务（社区社会经济地位）领域的流动性与 LSA 评分显着相关。在最终的回归模型中，年龄 (β = −0.43)、下肢力量 (β = 0.03)、步态效能 (β = 0.19) 和步行能量消耗 (β = −57.41) 与生活空间相关 (R2 = 0.238）。结论 年龄越小、下肢力量越大、行走越自信、行走能量消耗越低，与生活空间越大相关。