A population-based cross-sectional study that defined normative population data for the life-space mobility assessment-composite score

Phillips, J; Dal Grande, E; Ritchie, C; Abernethy, AP; Currow, DC

A population-based cross-sectional study that defined normative population data for the life-space mobility assessment-composite score

Phillips, J

Dal Grande, E Ritchie, C Abernethy, AP Currow, DC

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Publication Type:: Journal Article
Citation:: Journal of Pain and Symptom Management, 2015, 49 (5), pp. 885 - 893
Issue Date:: 2015-01-01

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Field	Value	Language
dc.contributor.author	Phillips, J https://orcid.org/0000-0002-3691-8230	en_US
dc.contributor.author	Dal Grande, E	en_US
dc.contributor.author	Ritchie, C	en_US
dc.contributor.author	Abernethy, AP	en_US
dc.contributor.author	Currow, DC https://orcid.org/0000-0003-1988-1250	en_US
dc.date.available	2014-09-22	en_US
dc.date.issued	2015-01-01	en_US
dc.identifier.citation	Journal of Pain and Symptom Management, 2015, 49 (5), pp. 885 - 893	en_US
dc.identifier.issn	0885-3924	en_US
dc.identifier.uri	http://hdl.handle.net/10453/42159
dc.description.abstract	© 2015 American Academy of Hospice and Palliative Medicine. 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 (R<sup>2</sup> = 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.	en_US
dc.relation.ispartof	Journal of Pain and Symptom Management	en_US
dc.relation.isbasedon	10.1016/j.jpainsymman.2014.09.010	en_US
dc.subject.classification	Anesthesiology	en_US
dc.subject.mesh	Humans	en_US
dc.subject.mesh	Disability Evaluation	en_US
dc.subject.mesh	Activities of Daily Living	en_US
dc.subject.mesh	Sensitivity and Specificity	en_US
dc.subject.mesh	Cross-Sectional Studies	en_US
dc.subject.mesh	Reproducibility of Results	en_US
dc.subject.mesh	Age Distribution	en_US
dc.subject.mesh	Sex Distribution	en_US
dc.subject.mesh	Reference Values	en_US
dc.subject.mesh	Quality of Life	en_US
dc.subject.mesh	Adolescent	en_US
dc.subject.mesh	Adult	en_US
dc.subject.mesh	Aged	en_US
dc.subject.mesh	Middle Aged	en_US
dc.subject.mesh	Australia	en_US
dc.subject.mesh	Female	en_US
dc.subject.mesh	Male	en_US
dc.subject.mesh	Mobility Limitation	en_US
dc.subject.mesh	Young Adult	en_US
dc.subject.mesh	Surveys and Questionnaires	en_US
dc.title	A population-based cross-sectional study that defined normative population data for the life-space mobility assessment-composite score	en_US
dc.type	Journal Article
utslib.citation.volume	5	en_US
utslib.citation.volume	49	en_US
utslib.for	1110 Nursing	en_US
utslib.for	11 Medical and Health Sciences	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Health
pubs.organisational-group	/University of Technology Sydney/Faculty of Health/IMPACCT
utslib.copyright.status	closed_access
pubs.issue	5	en_US
pubs.publication-status	Published	en_US
pubs.volume	49	en_US

Abstract:

© 2015 American Academy of Hospice and Palliative Medicine. 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.

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http://hdl.handle.net/10453/42159