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The association between observed mobility and quality of life in the near elderly

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  • Jason Shafrin
  • Jeff Sullivan
  • Dana P Goldman
  • Thomas M Gill

Abstract

Introduction: Chronic diseases associated with aging, such as arthritis, frequently cause reduced mobility, pain and diminished quality of life. To date, research on the association between mobility and quality of life has primarily focused in the elderly; hence, much less is known about this association in the near elderly. This cross-sectional study aimed to assess the association between mobility and quality of life measures in the near elderly. Methods: A prospective observational study of persons aged 50–69 years was conducted. The primary endpoint was quality of life measured by EQ-5D-5L, and the primary explanatory variable was observed mobility assessed using the 6-minute walk distance (6MWD). We applied regression models controlling for demographic, health status and other factors to evaluate the association between 6MWD and EQ-5D-5L. Results: Of the 183 participants analyzed in the study, 37% were male and the average age was 59.8 years. After adjusting for differences in demographic characteristics and health status, EQ-5D-5L-based utility values were 0.046 points (p

Suggested Citation

  • Jason Shafrin & Jeff Sullivan & Dana P Goldman & Thomas M Gill, 2017. "The association between observed mobility and quality of life in the near elderly," PLOS ONE, Public Library of Science, vol. 12(8), pages 1-13, August.
  • Handle: RePEc:plo:pone00:0182920
    DOI: 10.1371/journal.pone.0182920
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    References listed on IDEAS

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    1. Patrick W. Sullivan & Vahram Ghushchyan, 2006. "Preference-Based EQ-5D Index Scores for Chronic Conditions in the United States," Medical Decision Making, , vol. 26(4), pages 410-420, July.
    2. Branch, L.G. & Jette, A.M., 1982. "A prospective study of long-term care institutionalization among the aged," American Journal of Public Health, American Public Health Association, vol. 72(12), pages 1373-1379.
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    1. Elke Warmerdam & Clint Hansen & Robbin Romijnders & Markus A. Hobert & Julius Welzel & Walter Maetzler, 2022. "Full-Body Mobility Data to Validate Inertial Measurement Unit Algorithms in Healthy and Neurological Cohorts," Data, MDPI, vol. 7(10), pages 1-8, September.

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