Taylor Richard A, Bakitas Marie, Wells Rachel, Odom J Nicholas, Kennedy Richard, Williams Grant R, Frank Jennifer, Li Peng
School of Nursing, University of Alabama at Birmingham, 1701 University Boulevard, Birmingham, Al, USA.
, 585 School of Nursing Building, 1701 University Boulevard, Birmingham, Al, 35294, USA.
BMC Geriatr. 2025 Apr 30;25(1):297. doi: 10.1186/s12877-025-05940-7.
Life-space mobility (LSM) measures the size of the real-world geographic area an individual purposely transverses in their daily life. While older cancer survivors often have declines in LSM that negatively affects their quality of life, independence, and social engagement the factors that predispose to adverse outcomes are unknown. Understanding different patterns of LSM and its decline can help identify those needing support. The purpose of this study was to identify: (1) LSM trajectory patterns and (2) factors associated with those patterns in older cancer survivors.
This paper reports a secondary data analysis of 153 participants with cancer ≥ 65 years from the University of Alabama Study of Aging. LSM was assessed using the UAB Life-Space Assessment-Composite score (LSA-C) at study entry and every 6 months for 96 months (LSA-C < 60 = restricted LSM). LSM trajectory patterns based on the LSA-C were determined using group-based trajectory analysis. A classification tree analysis revealed factors that predicted the trajectory patterns.
Participants (n = 153) were a mean age of 76.1 (SD 6.33), mostly male (58%), White (58%), married (55%) or widowed (37%), and had a diagnosis of prostate (37.3%), breast (20.3%), or colon (11.8%) cancer. Three LSM trajectory patterns were identified: (1) high start and stable (37.3%) with unrestricted LSM (LSA-C = 81.2) at study entry, which remained stable over time, (2) high start progressive decline (27.5%) with unrestricted LSM (LSA-C = 78.0) at study entry that progressively declined, and (3) low start progressive decline (35.3%) with restricted LSM level (LSA-C = 42.0) at study entry, which progressively declined. Each pattern was associated with a unique set of demographic and clinical characteristics. Baseline physical performance score was the most important predictor of the LSM trajectory patterns.
Three distinct LSM trajectory patterns, each with unique demographic and clinical characteristics, were identified. Because older cancer survivors have distinct LSM patterns, interventions should be tailored to address specific characteristics and clinical needs. LSM measurement can contribute to assessment of older adults generally and should become part of standard assessment in older cancer survivors.
生活空间移动性（LSM）衡量的是个体在日常生活中有目的地穿越的现实世界地理区域的大小。虽然老年癌症幸存者的生活空间移动性往往会下降，这对他们的生活质量、独立性和社交参与产生负面影响，但导致不良后果的因素尚不清楚。了解生活空间移动性的不同模式及其下降情况有助于识别那些需要支持的人。本研究的目的是确定：（1）生活空间移动性轨迹模式；（2）老年癌症幸存者中与这些模式相关的因素。
本文报告了对阿拉巴马大学衰老研究中153名年龄≥65岁的癌症患者进行的二次数据分析。在研究开始时以及之后每6个月进行96个月，使用UAB生活空间评估综合评分（LSA-C）评估生活空间移动性（LSA-C<60 = 受限生活空间移动性）。基于LSA-C确定生活空间移动性轨迹模式，使用基于组的轨迹分析。分类树分析揭示了预测轨迹模式的因素。
参与者（n = 153）的平均年龄为76.1岁（标准差6.33），大多数为男性（58%），白人（58%），已婚（55%）或丧偶（37%），诊断为前列腺癌（37.3%）、乳腺癌（20.3%）或结肠癌（11.8%）。确定了三种生活空间移动性轨迹模式：（1）高起始且稳定（37.3%），研究开始时生活空间移动性不受限（LSA-C = 81.2），随时间保持稳定；（2）高起始逐渐下降（27.5%），研究开始时生活空间移动性不受限（LSA-C = 78.0），逐渐下降；（3）低起始逐渐下降（35.3%），研究开始时生活空间移动性水平受限（LSA-C = 42.0），逐渐下降。每种模式都与一组独特的人口统计学和临床特征相关。基线身体功能评分是生活空间移动性轨迹模式的最重要预测因素。
确定了三种不同的生活空间移动性轨迹模式，每种模式都有独特的人口统计学和临床特征。由于老年癌症幸存者有不同的生活空间移动性模式，干预措施应根据具体特征和临床需求进行调整。生活空间移动性测量总体上有助于对老年人的评估，应成为老年癌症幸存者标准评估的一部分。
