Reliability and validity of CHAMPS self-reported sedentary-to-vigorous intensity physical activity in older adults

J Phys Act Health. 2012 Feb;9(2):225-36. doi: 10.1123/jpah.9.2.225.

Abstract

Background: Recent research highlights the potential value of differentiating between categories of physical activity intensities as predictors of health and well-being. This study sought to assess reliability and concurrent validity of sedentary (ie, 1 METs), low-light (ie, >1 and ≤2 METs; eg, playing cards), high-light (ie, >2 and <3 METs; eg, light walking), moderate-to-vigorous physical activity (MVPA, ≥3 METs), and "total activity" (≥2 METs) from the CHAMPS survey. Further, this study explored over-reporting and double-reporting.

Methods: CHAMPS data were gathered from the Seniors Neighborhood Quality of Life Study, an observational study of adults aged 65+ years conducted in 2 US regions.

Results: Participants (N = 870) were 75.3 ± 6.8 years old, with 56% women and 71% white. The CHAMPS sedentary, low-light, high-light, total activity, and MVPA variables had acceptable test-retest reliability (ICCs 0.56-0.70). The CHAMPS high-light (ρ = 0.27), total activity (ρ = 0.34), and MVPA (ρ = 0.37) duration scales were moderately associated with accelerometry minutes of corresponding intensity, and the sedentary scale (ρ = 0.12) had a lower, but significant correlation. Results suggested that several CHAMPS items may be susceptible to over-reporting (eg, walking, housework).

Conclusions: CHAMPS items effectively measured high-light, total activity, and MVPA in seniors, but further refinement is needed for sedentary and low-light activity.

Publication types

  • Research Support, N.I.H., Extramural
  • Validation Study

MeSH terms

  • Acceleration
  • Actigraphy
  • Age Factors
  • Aged
  • Exercise / physiology*
  • Exercise / psychology
  • Female
  • Humans
  • Male
  • Motor Activity / physiology*
  • Quality of Life / psychology*
  • Reproducibility of Results
  • Sedentary Behavior*
  • Self Report*
  • Statistics, Nonparametric
  • Surveys and Questionnaires