Phillips Jane, Dal Grande Eleonora, Ritchie Christine, Abernethy Amy P, Currow David C
Centre for Cardiovascular and Chronic Care, Faculty of Health, University of Technology Sydney, Sydney, New South Wales, Australia.
Population Research and Outcomes Studies Unit, Discipline of Medicine, Health Sciences Faculty, The University of Adelaide, South Australia, Australia.
J Pain Symptom Manage. 2015 May;49(5):885-93. doi: 10.1016/j.jpainsymman.2014.09.010. Epub 2014 Dec 27.
Mobility is linked to health status and quality of life. Life-Space Mobility Assessment (LSMA; range 0-120) measures the spatial extent of people's excursion and physical support needs over the preceding month.
The aim of this study was to generate normative population data for an LSMA-Composite (LSMA-C) score, irrespective of age or health service contact and explore the LSM of people with diabetes, current asthma, arthritis, and osteoporosis.
LSMA questions were included in the 2011 South Australian Health Omnibus Survey, a multistage, systematic, and clustered sample of household face-to-face interviews. Sociodemographic and clinical variables were explored in relation to LSMA scores using descriptive, univariable, and multivariable analyses and receiver operator curves.
For the 3032 respondents, the mean LSMA score was 98.3 (SD 20.3; median 100; interquartile range 34 [86-120]; range 6-120). Five percent of respondents scored <60, 11% scored between ≥ 60 and 79, 27% scored between ≥ 80 and 99, and the remainder scored between 100 and 120. After 55 years of age, LSMA-C scores declined, more so in females. In multivariable analysis, declining scores were associated with being female, being older, living in rural areas, lower educational attainment, not working, lower household income, and higher numbers of chronic conditions (R(2) = 0.35, P < 0.001). The receiver operator curve demonstrated a highly specific but relatively insensitive measure.
Having controlled for known confounders, the male/female difference cannot be easily explained. These data will help to contextualize studies in the future that use the LSMA-C score.
活动能力与健康状况和生活质量相关。生活空间活动能力评估（LSMA；范围为0 - 120）衡量人们在前一个月的出行空间范围和身体支持需求。
本研究的目的是生成LSMA综合（LSMA - C）评分的标准人群数据，不考虑年龄或是否有医疗服务接触，并探究糖尿病、当前哮喘、关节炎和骨质疏松症患者的生活空间活动能力。
LSMA问题包含在2011年南澳大利亚健康综合调查中，这是一项多阶段、系统的家庭面对面访谈聚类抽样调查。使用描述性、单变量和多变量分析以及受试者工作特征曲线，探究社会人口统计学和临床变量与LSMA评分的关系。
对于3032名受访者，LSMA平均评分为98.3（标准差20.3；中位数100；四分位间距34 [86 - 120]；范围6 - 120）。5%的受访者得分<60，11%的受访者得分在≥60至79之间，27%的受访者得分在≥80至99之间，其余受访者得分在100至120之间。55岁之后，LSMA - C评分下降，女性下降更为明显。在多变量分析中，评分下降与女性、年龄较大、居住在农村地区、教育程度较低、未工作、家庭收入较低以及慢性病数量较多有关（R² = 0.35，P < 0.001）。受试者工作特征曲线显示这是一个高度特异但相对不敏感的指标。
在控制了已知混杂因素后，男女差异难以轻易解释。这些数据将有助于为未来使用LSMA - C评分的研究提供背景信息。
