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Measuring physical activity with hip accelerometry among U.S. older adults: How many days are enough?

PLoS ONE, ISSN: 1932-6203, Vol: 12, Issue: 1, Page: e0170082
2017
  • 42
    Citations
  • 0
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  • 131
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  • 0
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  • 3
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Metric Options:   Counts1 Year3 Year

Metrics Details

  • Citations
    42
  • Captures
    131
  • Social Media
    3
    • Shares, Likes & Comments
      3
      • Facebook
        3

Article Description

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 < 0.001) were associated with fewer days. Daily CPM, % MVPA, and total daily activity counts were similar Monday through Saturday, but significantly lower on Sundays (p < 0.001). Daily % sedentary behavior and % light-lifestyle activity were significantly different on Saturdays (p = 0.04-0.045) and Sundays (p < 0.001) compared to weekdays. Among participants with 7 valid days, 2 or 3 day averages were highly correlated with 7 day averages for all 5 accelerometry measures (2 versus 7 days: r = 0.90-0.93, 3 versus 7 days: r = 0.94-0.96). Conclusions Protocols of 2-3 days, adjusting for Sundays (average CPM, % moderate-vigorous activity, and average total daily activity counts) or weekends (% sedentary behavior and % light-lifestyle activity), give reliable estimates of older adult activity.

Bibliographic Details

http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85009517345&origin=inward; http://dx.doi.org/10.1371/journal.pone.0170082; http://www.ncbi.nlm.nih.gov/pubmed/28081249; https://dx.plos.org/10.1371/journal.pone.0170082.g003; http://dx.doi.org/10.1371/journal.pone.0170082.g003; http://dx.plos.org/10.1371/journal.pone.0170082; https://dx.plos.org/10.1371/journal.pone.0170082.g004; http://dx.doi.org/10.1371/journal.pone.0170082.g004; https://dx.plos.org/10.1371/journal.pone.0170082.g005; http://dx.doi.org/10.1371/journal.pone.0170082.g005; https://dx.plos.org/10.1371/journal.pone.0170082.g002; http://dx.doi.org/10.1371/journal.pone.0170082.g002; https://dx.plos.org/10.1371/journal.pone.0170082.g001; http://dx.doi.org/10.1371/journal.pone.0170082.g001; https://dx.plos.org/10.1371/journal.pone.0170082.t001; http://dx.doi.org/10.1371/journal.pone.0170082.t001; https://dx.plos.org/10.1371/journal.pone.0170082.t002; http://dx.doi.org/10.1371/journal.pone.0170082.t002; https://dx.doi.org/10.1371/journal.pone.0170082.g003; https://journals.plos.org/plosone/article/figure?id=10.1371/journal.pone.0170082.g003; https://dx.doi.org/10.1371/journal.pone.0170082.g004; https://journals.plos.org/plosone/article/figure?id=10.1371/journal.pone.0170082.g004; https://dx.doi.org/10.1371/journal.pone.0170082.g002; https://journals.plos.org/plosone/article/figure?id=10.1371/journal.pone.0170082.g002; https://dx.doi.org/10.1371/journal.pone.0170082; https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0170082; https://dx.doi.org/10.1371/journal.pone.0170082.t001; https://journals.plos.org/plosone/article/figure?id=10.1371/journal.pone.0170082.t001; https://dx.doi.org/10.1371/journal.pone.0170082.t002; https://journals.plos.org/plosone/article/figure?id=10.1371/journal.pone.0170082.t002; https://dx.doi.org/10.1371/journal.pone.0170082.g001; https://journals.plos.org/plosone/article/figure?id=10.1371/journal.pone.0170082.g001; https://dx.doi.org/10.1371/journal.pone.0170082.g005; https://journals.plos.org/plosone/article/figure?id=10.1371/journal.pone.0170082.g005; http://dx.plos.org/10.1371/journal.pone.0170082.g002; http://www.plosone.org/article/metrics/info:doi/10.1371/journal.pone.0170082; http://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0170082&type=printable; http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0170082; https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0170082&type=printable; http://dx.plos.org/10.1371/journal.pone.0170082.g004; http://dx.plos.org/10.1371/journal.pone.0170082.t002; http://dx.plos.org/10.1371/journal.pone.0170082.g001; http://dx.plos.org/10.1371/journal.pone.0170082.g003; http://dx.plos.org/10.1371/journal.pone.0170082.t001; http://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0170082; http://dx.plos.org/10.1371/journal.pone.0170082.g005

Masha Kocherginsky; Megan Huisingh-Scheetz; William Dale; Diane S. Lauderdale; Linda Waite; Dominique Heymann

Public Library of Science (PLoS)

Biochemistry, Genetics and Molecular Biology; Agricultural and Biological Sciences; Multidisciplinary

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