4.6 Article

Associations of Monitor-Assessed Activity with Performance-Based Physical Function

期刊

PLOS ONE
卷 11, 期 4, 页码 -

出版社

PUBLIC LIBRARY SCIENCE
DOI: 10.1371/journal.pone.0153398

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资金

  1. National Health and Medical Research Council of Australia (NHMRC Program) [APP566940]
  2. Centre of Research Excellence grant [APP1057608, APP1000986]
  3. Senior Principal Research Fellowship [1003960]
  4. Dementia Research Development Fellowship [1103311]
  5. Australian Research Council Research Fellowship [FT100100918]
  6. Heart Foundation Postdoctoral Fellowship [PH 12B 7054]
  7. Victorian Government's OIS Program
  8. Australian Federal Government (Australian Postgraduate Award Scholarship)
  9. Victorian Government's OIS Programme
  10. National Health and Medical Research Council (NHMRC) [233200]
  11. Australian Government Department of Health and Ageing
  12. Abbott Australasia Pty Ltd
  13. Alphapharm Pty Ltd
  14. AstraZeneca, Bristol-Myers Squibb
  15. City Health Centre-Diabetes Service-Canberra
  16. Department of Health and Community Services-Northern Territory
  17. Department of Health and Human ServicesTasmania
  18. Department of Health-New South Wales
  19. Department of Health-Western Australia
  20. Department of Health-South Australia
  21. Department of Human Services-Victoria
  22. Diabetes Australia
  23. Diabetes Australia Northern Territory
  24. Eli Lilly Australia
  25. Estate of the Late Edward Wilson
  26. GlaxoSmithKline
  27. Jack Brockhoff Foundation
  28. Janssen-Cilag
  29. Kidney Health Australia
  30. Marian FH Flack Trust
  31. Menzies Research Institute
  32. Merck Sharp Dohme
  33. Novartis Pharmaceuticals
  34. Novo Nordisk Pharmaceuticals
  35. Pfizer Pty Ltd
  36. Pratt Foundation
  37. Queensland Health
  38. Roche Diagnostics Australia
  39. Royal Prince Alfred Hospital, Sydney
  40. Sanofi Aventis
  41. Sanofi Synthelabo

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The purpose of this study was to investigate the cross-sectional associations of monitorderived measures of sedentary time and physical activity with performance-based physical function in healthy Australian adults. Data from 602 participants (mean age 58.1 +/- 10.0 years; 58% female) from the 2011/12 wave of the Australian Diabetes, Obesity and Lifestyle (AusDiab3) study were analyzed. The thigh-worn activPAL3 T monitor (7-days continuous wear) was used to derive time during waking hours spent: sitting/reclining; standing; and, stepping (overall, and separately as light [<3 METs] and moderate-to-vigorous physical activity [ MVPA; >= 3 METs]), and number of sit-stand transitions. Associations of these (in hours/day, or 15 transitions/ day) with physical function measures (8ft Timed Up and Go [ TUG-8; log-transformed seconds] and Knee Extensor Strength [ KES; kg]) were tested via linear regression, adjusting for confounders. Interactions by sex and age-category (< 45; 45-54; 55-64; >= 65 years) were tested. In all participants, KES was significantly (p<0.05) associated with stepping and MVPA stepping only; none of the activity measures were associated with TUG-8. However, subgroup analysis revealed that in older adults (>= 65 years), TUG-8 was associated with stepping and MVPA stepping (both p<0.05). All associations with sitting time, standing, sit-stand transition and sex interactions were not statistically significant. In summary, sitting time was not significantly associated with impaired muscle strength or gait/mobility in Australian adults aged 36-80 years, but light-to moderate activity (stepping) was positively associated with muscle strength, and gait/mobility in older adults aged >= 65 years. The direction of causation is not known and remains important to investigate considering the high prevalence of both poor function and limited activity in older age.

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