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Resumen de Device-Measured Physical Activity As a Predictor of Disability in Mobility-Limited Older Adults

Robert T. Mankowski, Stephen D. Anton, Robert Axtell, Shyh Huei Chen, Roger A. Fielding, Nancy W. Glynn, Fang Chi Hsu, Abby C. King, Andrew S. Layne, Christiaan Leeuwenburgh, Todd M. Manini, Anthony P. Marsh, Marco Pahor, Catrine Tudor-Locke, David E. Conroy, Thomas W. Buford

  • Objectives To examine associations between objectively measured physical activity (PA) and incidence of major mobility disability (MMD) and persistent MMD (PMMD) in older adults in the Lifestyle Interventions and Independence for Elders (LIFE) Study.

    Design Prospective cohort of individuals aged 65 and older undergoing structured PA intervention or health education.

    Setting The LIFE Study was a multicenter (eight sites) randomized controlled trial designed to compare the efficacy of a long-term structured PA intervention with that of a health education (HE) program in reducing the incidence of MMD in mobility-limited older adults.

    Participants LIFE Study participants (n = 1,590) had a mean age±standard deviation of 78.9 ± 5.2, low levels of PA, and measured mobility-relevant functional impairment at baseline.

    Measurements Activity data were collected using hip-worn 7-day accelerometers at baseline and 6, 12, and 24 months after randomization to test for associations with incident MMD and PMMD (≥2 consecutive instances of MMD).

    Results At baseline, every 30 minutes spent being sedentary (<100 accelerometry counts per minute) was associated with higher rate of subsequent MMD (10%) and PMMD (11%) events. Every 500 steps taken was associated with lower rate of MMD (15%) and PMMD (18%). Similar associations were observed when fitting accelerometry-based PA as a time-dependent variable.

    Conclusion Accelerometry-based PA levels were strongly associated with MMD and PMMD events in older adults with limited mobility. These results support the importance of daily PA and lower amounts of sedentary time levels in this population and suggest that accelerometry may be a useful tool for assessing risk of mobility disability.


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