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The de Morton Mobility Index: Normative Data for a Clinically Useful Mobility Instrument
Author(s) -
Erin M. Macri,
Jessica Anne Lewis,
Karim M. Khan,
Maureen C. Ashe,
Natalie A. de Morton
Publication year - 2012
Publication title -
journal of aging research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.564
H-Index - 43
eISSN - 2090-2212
pISSN - 2090-2204
DOI - 10.1155/2012/353252
Subject(s) - normative , population , algorithm , gerontology , machine learning , medicine , artificial intelligence , computer science , demography , sociology , philosophy , epistemology
Determining mobility status is an important component of any health assessment for older adults. In order for a mobility measure to be relevant and meaningful, normative data are required for comparison to a healthy reference population. The DEMMI is the first mobility instrument to measure mobility across the spectrum from bed bound to functional levels of independent mobility. In this cross-sectional observational study, normative data were obtained for the DEMMI from a population of 183 healthy, community-dwelling adults age 60+ who resided in Vancouver, Canada and Melbourne, Australia. Older age categories had significantly lower DEMMI mobility mean scores ( P < 0.05), as did individuals who walked with a mobility aid or lived in semi-independent living (assisted living or retirement village), whereas DEMMI scores did not differ by sex ( P = 0.49) or reported falls history ( P = 0.21). Normative data for the DEMMI mobility instrument provides vital reference scores to facilitate its use across the mobility spectrum in clinical, research, and policymaking settings.

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