Reliability of GENEActiv accelerometers to estimate sleep, physical activity, and sedentary time in children
Tóm tắt
Reliable estimates of habitual sleep, physical activity, and sedentary time are essential to investigate the associations between these behaviours and health outcomes. While the number of days needed and hours/day for estimates of physical activity and sedentary time are generally known, the criteria for sleep estimates are more uncertain. The objective of this study was to identify the number of nights needed to obtain reliable estimates of habitual sleep behaviour using the GENEActiv wrist worn accelerometer. The number of days to obtain reliable estimate of physical activity was also examined. Data was used from a two-year longitudinal study. Children wore an accelerometer for up to 8 days 24 h/day across three timepoints. The sample included 2,745 children (51 % girls) between the ages of 7-12-years-old (mean = 9.8 years, SD = 1.1 year) with valid accelerometer data from any timepoint. Reliability estimates were calculated for sleep duration, sleep efficiency, sleep onset, wake time, time in bed, light physical activity, moderate physical activity, moderate-to-vigorous physical activity, vigorous physical activity, and sedentary time. Intraclass correlations and the Spearman Brown prophecy formula were used to determine the nights and days needed for reliable estimates. We found that between 3 and 5 nights were needed to achieve acceptable reliability (ICC = 0.7) in sleep outcomes, while physical activity and sedentary time outcomes required between 3 and 4 days. To obtain reliable estimates, researchers should consider these minimum criteria when designing their studies and prepare strategies to ensure sufficient wear time compliance.
Tài liệu tham khảo
Van de Water AT, Holmes A, Hurley DA. Objective measurements of sleep for non-laboratory settings as alternatives to polysomnography–a systematic review. J Sleep Res. 2011;20(1 Pt 2):183–200.
Trost SG, McIver KL, Pate RR. Conducting accelerometer-based activity assessments in field-based research. Med Sci Sports Exerc. 2005;37(11 Suppl):531–43.
Wolfson AR, Carskadon MA, Acebo C, et al. Evidence for the validity of a sleep habits survey for adolescents. Sleep. 2003;26(2):213–6.
Sadeh A. The role and validity of actigraphy in sleep medicine: An update. Sleep Med Rev. 2011;15(4):259–67.
Van Cauwenberghe E, Gubbels J, De Bourdeaudhuij I, et al. Feasibility and validity of accelerometer measurements to assess physical activity intoddlers. Int J Behav Nutr Phys Act. 2011;8:67. https://doi.org/10.1186/1479-5868-8-67.
Weiss AR, Johnson NL, Berger NA, Redline S. Validity of activity-based devices to estimate sleep. J Clin Sleep Med. 2010;6(4):336–42.
Antczak D, Lonsdale C, Lee J, et al. Physical activity and sleep are inconsistently related in healthy children: A systematic review and meta-analysis. Sleep Med Rev. 2020;51:101278.
Gretebeck RJ, Montoye HJ. Variability of some objective measures of physical-activity. Med Sci Sports Exerc. 1992;24(10):1167–72.
Hart TL, Swartz AM, Cashin SE, Strath SJ. How many days of monitoring predict physical activity and sedentary behaviour in older adults? Int J Behav Nutr Phys Act. 2011;8:62.
Matthews CE, Ainsworth BE, Thompson RW, Bassett DR. Jr. Sources of variance in daily physical activity levels as measured by an accelerometer. Med Sci Sports Exerc. 2002;34(8):1376–81.
Dillon CB, Fitzgerald AP, Kearney PM, et al. Number of days required to estimate habitual activity using wrist-worn geneactiv accelerometer: A cross-sectional study. PLoS One. 2016;11(5):e0109913.
Scheers T, Philippaerts R, Lefevre J. Variability in physical activity patterns as measured by the sensewear armband: How many days are needed? Eur J Appl Physiol. 2012;112(5):1653–62.
Cain KL, Sallis JF, Conway TL, Van Dyck D, Calhoon L. Using accelerometers in youth physical activity studies: A review of methods. J Phys Act Health. 2013;10(3):437–50.
Acebo C, Sadeh A, Seifer R, et al. Estimating sleep patterns with activity monitoring in children and adolescents: How many nights are necessary for reliable measures? Sleep. 1999;22(1):95–103.
Ridgers ND, Hnatiuk JA, Vincent GE, Timperio A, Barnett LM, Salmon J. How many days of monitoring are needed to reliably assess sensewear armband outcomes in primary school-aged children? J Sci Med Sport. 2016;19(12):999–1003.
Taylor RW, Williams SM, Farmer VL, Taylor BJ. The stability of sleep patterns in children 3 to 7 years of age. J Pediatr. 2015;166(3):697–702. e691.
Okely AD, Ghersi D, Hesketh KD, et al. A collaborative approach to adopting/adapting guidelines - the australian 24-hour movement guidelines for the early years (birth to 5 years): An integration of physical activity, sedentary behavior, and sleep. BMC Public Health. 2017;17(Suppl 5):869.
Chong KH, Parrish AM, Cliff DP, Dumuid D, Okely AD. Changes in 24-hour movement behaviours during the transition from primary to secondary school among australian children. Eur J Sport Sci. 2021:1–11. online ahead of print.
Duncan MJ, Wilson S, Tallis J, Eyre E. Validation of the phillips et al. Geneactiv accelerometer wrist cut-points in children aged 5–8 years old. Eur J Pediatr. 2016;175(12):2019–2021.
Lonsdale C, Sanders T, Cohen KE, et al. Scaling-up an efficacious school-based physical activity intervention: Study protocol for the ‘internet-based professional learning to help teachers support activity in youth’ (iplay) cluster randomized controlled trial and scale-up implementation evaluation. BMC Public Health. 2016;16(1):873.
Migueles JH, Rowlands AV, Huber F, Sabia S, van Hees VT. Ggir. A research community–driven open source r package for generating physical activity and sleep outcomes from multi-day raw accelerometer data. Journal for the Measurement of Physical Behaviour. 2019;2(3):188–96.
R Core Team. R: A language and environment for statistical computing. Vienna: R Foundation for Statistical Computing; 2020. https://www.Rproject.org/.
Hildebrand M, Hansen BH, van Hees VT, Ekelund U. Evaluation of raw acceleration sedentary thresholds in children and adults. Scand J Med Sci Sports. 2017;27(12):1814–23.
Hildebrand M, VT VANH, Hansen BH, Ekelund U. Age group comparability of raw accelerometer output from wrist- and hip-worn monitors. Med Sci Sports Exerc. 2014;46(9):1816–24.
van Hees VT, Sabia S, Anderson KN, et al. A novel, open access method to assess sleep duration using a wrist-worn accelerometer. PLoS One. 2015;10(11):e0142533.
van Hees VT, Sabia S, Jones SE, et al. Estimating sleep parameters using an accelerometer without sleep diary. Sci Rep. 2018;8(1):12975.
Koo TK, Li MY. A guideline of selecting and reporting intraclass correlation coefficients for reliability research. J Chiropr Med. 2016;15(2):155–63.
Psych: Procedures for psychological, psychometric, and personality research [computer program]. Version R package version 1.9.12: Northwestern University, Evanston. 2019.
Liljequist D, Elfving B, Skavberg Roaldsen K. Intraclass correlation - a discussion and demonstration of basic features. PLoS One. 2019;14(7):e0219854.
Hnatiuk J, Ridgers ND, Salmon J, Campbell K, McCallum Z, Hesketh K. Physical activity levels and patterns of 19-month-old children. Med Sci Sports Exerc. 2012;44(9):1715–20.
Spearman C. The proof and measurement of association between two things. Int J Epidemiol. 2010;39(5):1137–50.
Hinkley T, O’Connell E, Okely AD, Crawford D, Hesketh K, Salmon J. Assessing volume of accelerometry data for reliability in preschool children. Med Sci Sports Exerc. 2012;44(12):2436–41.
Barreira TV, Schuna JM, Tudor-Locke C, et al. Reliability of accelerometer-determined physical activity and sedentary behavior in school-aged children: A 12-country study. Int J Obes Suppl. 2015;5(Suppl 2):29–35.
Mattocks C, Ness A, Leary S, et al. Use of accelerometers in a large field-based study of children: Protocols, design issues, and effects on precision. J Phys Act Health. 2008;5(Suppl 1):98–111.
Rich C, Geraci M, Griffiths L, Sera F, Dezateux C, Cortina-Borja M. Quality control methods in accelerometer data processing: Defining minimum wear time. PLoS One. 2013;8(6):e67206.
Ricardo LIC, Wendt A, Galliano LM, et al. Number of days required to estimate physical activity constructs objectively measured in different age groups: Findings from three brazilian (pelotas) population-based birth cohorts. PLoS One. 2020;15(1):e0216017.