Minimum accelerometer wear-time for reliable estimates of physical activity and sedentary behaviour of people receiving haemodialysis

Abstract

Background: Low levels of physical activity are implicated in low life expectancies of people receiving maintenance haemodialysis. Accelerometers are increasingly being used to quantify activity behaviours of this population but guidance to quality-assure such data is lacking. The objective of this study was to provide data processing and reduction recommendations to ensure accelerometer-derived outcomes are sufficiently reliable for interpretative analysis. Methods: Seventy people receiving maintenance haemodialysis (age 55.9 ± 15.7 years, 34% women, 23% diabetic) from a single outpatient renal unit volunteered for the study. Participants wore Actigraph GT3x and ActivPAL monitors during waking hours over seven days. Reliability of accelerometer output (normalised to wear-time) was assessed via intraclass correlation coefficient (ICC). The Spearman-Brown prophecy formula was subsequently applied to the ICCs to derive the minimum required accelerometer wear-time for each behavioural outcome. Results: Monitor wear compliance was greater on dialysis compared to non-dialysis days (90% v 77%). Participants were significantly more active on non-dialysis days compared to dialysis days but there were no significant differences in estimated behaviours between days within the same condition. Average measure ICCs for all accelerometer outcomes were high (range 0.76-0.96). Computations indicated that habitual physical activity and sedentary behaviour could be estimated with a minimum reliability level of 0.80 from one dialysis day and two non-dialysis days, and at least eight hours monitor wear per day. Applying this rubric allowed 90% of participant data to be retained for further analysis. Conclusions: Regardless of accelerometer, one dialysis and two non-dialysis days data with a minimum of eight hours wear each day should enable habitual activity of people receiving maintenance haemodialysis to be characterised with acceptable reliability. These recommendations reconcile the tension between wear-time criteria stringency and retention of an adequately representative sample.

Feasibility and acceptability of a technology-based, rural weight management intervention in older adults with obesity

“…We based these values on slightly more conservative estimates than our previous pilot study and other efficacy-based trials or reviews [7,19,[40][41][42][43]. Adherence of Fitbit consisted of obtaining > 75% of available data [44] with at least 8 h of use [45]. Participant satisfaction surveys were conducted at home using RedCAP, a secure, web-based application that supports data capture for research (Additional file 1: Appendix 1).…”

Validation of the Chinese version of the low physical activity questionnaire (LoPAQ) with ActiGraph accelerometer in hemodialysis patients

“…Wear time was validated using a filter of 150 consecutive zero-count minutes, with allowance for < 1 min of activity counts < 100 counts per minute [ 24 ]. At least one dialysis day and two non-dialysis days with a minimum of 8 h of wear time were adopted as the criteria for valid ActiGraph data [ 25 ]. The triaxial vector magnitude counts per minute cut-off for different physical activity intensities were determined as follows: sedentary behavior, < 99; light, 100–1951; moderate, 1952–5724; and vigorous, > 5725.…”

Collaborative, dyadic, and individual planning and physical activity: A dyadic randomized controlled trial.

“…3 days and for . 8 hr per day (i.e., valid wear day; e.g., Prescott et al, 2020). Sasaki et al's (2011) algorithm was used to count MVPA category in minutes per day.…”

“…At T0, T1, and T4, participants were instructed to wear the accelerometer on their right hip during waking hours (at least 14 hr) for 6 consecutive days. Valid wear times were assessment periods in which the accelerometer was worn for > 3 days and for > 8 hr per day (i.e., valid wear day; e.g., Prescott et al, 2020). Sasaki et al’s (2011) algorithm was used to count MVPA category in minutes per day.…”