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Agreement of Step-Based Metrics From ActiGraph and ActivPAL Accelerometers Worn Concurrently Among Older Adults.
Hyde, Eric T; Nguyen, Steve; Tuz-Zahra, Fatima; Moore, Christopher C; Greenwood-Hickman, Mikael Anne; Walker, Rod L; Natarajan, Loki; Rosenberg, Dori; Bellettiere, John.
Afiliación
  • Hyde ET; Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA.
  • Nguyen S; Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA.
  • Tuz-Zahra F; Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA.
  • Moore CC; Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Greenwood-Hickman MA; Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA.
  • Walker RL; Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA.
  • Natarajan L; Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA.
  • Rosenberg D; Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA.
  • Bellettiere J; Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA.
J Meas Phys Behav ; 5(4): 242-251, 2022 Dec.
Article en En | MEDLINE | ID: mdl-36816711
ABSTRACT

Purpose:

Our study evaluated the agreement of mean daily step counts, peak 1-min cadence, and peak 30-min cadence between the hip-worn ActiGraph GT3X+ accelerometer, using the normal filter (AGN) and the low frequency extension (AGLFE), and the thigh-worn activPAL3 micro (AP) accelerometer among older adults.

Methods:

Nine-hundred and fifty-three older adults (≥65 years) were recruited to wear the ActiGraph device concurrently with the AP for 4-7 days beginning in 2016. Using the AP as the reference measure, device agreement for each step-based metric was assessed using mean differences (AGN - AP and AGLFE - AP), mean absolute percentage error (MAPE), and Pearson and concordance correlation coefficients.

Results:

For AGN - AP, the mean differences and MAPE were daily steps -1,851 steps/day and 27.2%, peak 1-min cadence -16.2 steps/min and 16.3%, and peak 30-min cadence -17.7 steps/min and 24.0%. Pearson coefficients were .94, .85, and .91 and concordance coefficients were .81, .65, and .73, respectively. For AGLFE - AP, the mean differences and MAPE were daily steps 4,968 steps/day and 72.7%, peak 1-min cadence -1.4 steps/min and 4.7%, and peak 30-min cadence 1.4 steps/min and 7.0%. Pearson coefficients were .91, .91, and .95 and concordance coefficients were .49, .91, and .94, respectively.

Conclusions:

Compared with estimates from the AP, the AGN underestimated daily step counts by approximately 1,800 steps/day, while the AGLFE overestimated by approximately 5,000 steps/day. However, peak step cadence estimates generated from the AGLFE and AP had high agreement (MAPE ≤ 7.0%). Additional convergent validation studies of step-based metrics from concurrently worn accelerometers are needed for improved understanding of between-device agreement.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: J Meas Phys Behav Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: J Meas Phys Behav Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos