A Population-Based Cross-Sectional Study That Defined Normative Population Data for the Life-Space Mobility Assessment-Composite Score

Jane Phillips, Eleonora Dal Grande, Christine Ritchie, Amy Abernethy, David Currow

    Research output: Contribution to journalArticle

    8 Citations (Scopus)

    Abstract

    Context 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. Objectives 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. Methods 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. Results 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 (R2 = 0.35, P < 0.001). The receiver operator curve demonstrated a highly specific but relatively insensitive measure. Conclusion 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.

    Original languageEnglish
    Pages (from-to)885-893
    Number of pages9
    JournalJournal of Pain and Symptom Management
    Volume49
    Issue number5
    Early online date2015
    DOIs
    Publication statusPublished - 1 May 2015

    Keywords

    • functional status
    • Life-Space Mobility Assessment
    • normative data
    • population survey

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