Identifying children's nocturnal sleep using 24-h waist accelerometry

Medicine and Science in Sports and Exercise

Volumn 47, Issue 5, 2015, Pages 937-943

  Barreira, Tiago V ^a   Schuna, John M ^a   Mire, Emily F ^a   Katzmarzyk, Peter T ^a   Chaput, Jean Philippe ^b   Leduc, Genevieve ^b   Tudor Locke, Catrine ^a  

^a PENNINGTON BIOMEDICAL RESEARCH CENTER   (United States)

^b CHILDREN S HOSPITAL OF EASTERN ONTARIO   (Canada)

Author keywords

Methodology; Objective Monitoring; Physical Activity; Youth

Indexed keywords

ACCELEROMETRY; ALGORITHM; CHILD; DEVICES; FEMALE; HUMAN; MALE; PERIODICITY; PHYSIOLOGY; PROCEDURES; SLEEP;

ACCELEROMETRY; ACTIVITY CYCLES; ALGORITHMS; CHILD; FEMALE; HUMANS; MALE; SLEEP;

EID: 84928153344     PISSN: 01959131     EISSN: 15300315     Source Type: Journal    
DOI: 10.1249/MSS.0000000000000486     Document Type: Article

References (17)

1. 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.
2. Cohen J. Statistical power analysis for the behavioral sciences. 2nd ed. Hillsdale, N.J.: L. Erlbaum Associates; 1988.
3. Ekblom O, Nyberg G, Bak EE, Ekelund U, Marcus C. Validity and comparability of a wrist-worn accelerometer in children. J Phys Act Health. 2012;9(3):389-93.
4. Hjorth MF, Chaput J-P, Damsgaard CT, et al. Measure of sleep and physical activity by a single accelerometer: Can a waist-worn 2012;10(4):328-35.
5. Katzmarzyk PT, Barreira TV, Broyles ST, et al. The International Study of Childhood Obesity, Lifestyle and the Environment (ISCOLE): design and methods. BMC Public Health. 2013;13(1):900.
6. Kim Y, Beets MW, Welk GJ. Everything you wanted to know about selecting the "right" ActiGraph accelerometer cut-points for youth, but I: a systematic review. J Sci Med Sport. 2012; 15(4):311-21.
7. Kinder JR, Lee KA, Thompson H, Hicks K, Topp K, Madsen KA. Validation of a hip-worn accelerometer in measuring sleep time in children. J Pediatr Nurs. 2012;27(2):127-33.
8. Masse LC, Fuemmeler BF, Anderson CB, et al. Accelerometer data reduction: a comparison of four reduction algorithms on select outcome variables. Med Sci Sports Exerc. 2005;37(Suppl 11):S544-54.
9. Meltzer LJ, Montgomery-Downs HE, Insana SP, Walsh CM. Use of actigraphy for assessment in pediatric sleep research. Sleep Med Rev. 2012;16(5):463-75.
10. Phillips LR, Parfitt G, Rowlands AV. Calibration of the GENEA accelerometer for assessment of physical activity intensity in children. J Sci Med Sport. 2013;16(2):124-8.
11. Rosenberger ME, Haskell WL, Albinali F, Mota S, Nawyn J, Intille S. Estimating activity and sedentary behavior from an accelerometer on the hip or wrist. Med Sci Sports Exerc. 2013;45(5): 964-75.
12. Rowlands AV. Accelerometer assessment of physical activity in children: an update. Pediatr Exerc Sci. 2007;19(3):252-66.
13. Sadeh A, Sharkey KM, Carskadon MA. Activity-based sleep-wake identification: an empirical test of methodological issues. Sleep. 1994;17(3):201-7.
14. Safrit MJ, Wood TM. Introduction to Measurement in Physical Education and Exercise Science. 3rd ed. St. Louis: Mosby; 1995. p. 71.
15. Scholle S, Beyer U, Bernhard M, et al. Normative values of polysomnographic parameters in childhood and adolescence: quantitative sleep parameters. Sleep Med. 2011;12(6):542-9.
16. Tudor-Locke C, Barreira TV, Schuna, Jr., JM, Mire EF, Katzmarzyk PT. Fully automated waist-worn accelerometer algorithm for detecting children's sleep-period time separate from 24-h physical activity or sedentary behaviors. Appl Physiol Nutr Metab. 2014;39(1):53-7.
17. Winkler EA, Gardiner PA, Clark BK, Matthews CE, Owen N, Healy GN. Identifying sedentary time using automated estimates of accelerometer wear time. Br J Sports Med. 2012;46:436-42.