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Measuring Physical Activity with Hip Accelerometry among U.S. Older Adults: How Many Days Are Enough?

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  • Masha Kocherginsky
  • Megan Huisingh-Scheetz
  • William Dale
  • Diane S Lauderdale
  • Linda Waite

Abstract

Introduction: Accelerometers are increasingly used in research. Four to 7 days of monitoring is preferred to estimate average activity but may be burdensome for older adults. We aimed to investigate: 1) 7-day accelerometry protocol adherence, 2) demographic predictors of adherence, 3) day of the week effect, and 4) average activity calculated from 7 versus fewer days among older adults. Methods: We used the 2003–2006 older adult hip accelerometry data from the National Health and Nutrition Examination Survey (NHANES) sample. We determined proportions with 1–7 valid (10–20 hours) wear days and identified wear day correlates using ordinal logistic regression. We determined the day of week effect on 5 accelerometry measures (counts per minute, CPM; % sedentary behavior; % light-lifestyle activity; % moderate-vigorous activity, MVPA; total activity counts) using multivariate linear regression and compared averages estimated over 2 or 3 versus 7 days using correlations, linear regression, and Bland-Altman plots. Results: Among 2,208 participants aged 65+, 85% of participants had ≥2 and 44% had 7 valid wear days. Increasing age (p = 0.01) and non-white race (p

Suggested Citation

  • Masha Kocherginsky & Megan Huisingh-Scheetz & William Dale & Diane S Lauderdale & Linda Waite, 2017. "Measuring Physical Activity with Hip Accelerometry among U.S. Older Adults: How Many Days Are Enough?," PLOS ONE, Public Library of Science, vol. 12(1), pages 1-13, January.
  • Handle: RePEc:plo:pone00:0170082
    DOI: 10.1371/journal.pone.0170082
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    References listed on IDEAS

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    1. Lumley, Thomas, 2004. "Analysis of Complex Survey Samples," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 9(i08).
    2. Lin L. & Hedayat A. S. & Sinha B. & Yang M., 2002. "Statistical Methods in Assessing Agreement: Models, Issues, and Tools," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 257-270, March.
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