Fully automated waist-worn accelerometer algorithm for detecting children's sleep-period time separate from 24-h physical activity or sedentary behaviors

Applied Physiology, Nutrition and Metabolism

Volumn 39, Issue 1, 2014, Pages 53-57

  Tudor Locke, Catrine ^a   Barreira, Tiago V ^a   Schuna Jr , John M ^a   Mire, Emily F ^a   Katzmarzyk, Peter T ^a  

^a PENNINGTON BIOMEDICAL RESEARCH CENTER   (United States)

Author keywords

Measurement; Physical activity; Sedentary behavior; Youth

Indexed keywords

ACCELEROMETRY; ALGORITHM; AUTOMATION; CHILD; DEVICES; FEMALE; HUMAN; MALE; MOTOR ACTIVITY; SEDENTARY LIFESTYLE; SLEEP; TIME FACTOR;

ACCELEROMETRY; ALGORITHMS; AUTOMATION; CHILD; FEMALE; HUMANS; MALE; MOTOR ACTIVITY; SEDENTARY LIFESTYLE; SLEEP; TIME FACTORS;

EID: 84891609496     PISSN: 17155312     EISSN: 17155320     Source Type: Journal    
DOI: 10.1139/apnm-2013-0173     Document Type: Article

References (22)

1. Butte, N. F., Puyau, M. R., Adolph, A. L., Vohra, F. A., and Zakeri, I. 2007. Physical activity in nonoverweight and overweight Hispanic children and adolescents. Med. Sci. Sports Exerc. 39(8): 1257-1266. doi: 10. 1249/mss. 0b013e3180621fb6. PMID: 17762358.
2. Cain, K. L., Sallis, J. F., Conway, T. L., Van Dyck, D., and Calhoon, L. 2013. Using Accelerometers in Youth Physical Activity Studies: A Review of Methods. J. Phys. Act. Health. 10(3): 437-450. PMID: 23620392.
3. Cohen, J. 1988. Statistical Power Analysis for the Behavioral Sciences. Hillsdale, NJ: Lawrence Erlbaum Associates.
4. Cole, R. J., Kripke, D. F., Gruen, W., Mullaney, D. J., and Gillin, J. C. 1992. Automatic sleep/wake identification from wrist activity. Sleep, 15(5): 461-469. PMID: 1455130.
5. Crouter, S. E., Schneider, P. L., Karabulut, M., and Bassett, D. R., Jr. 2003. Validity of 10 electronic pedometers for measuring steps, distance, and energy cost. Med. Sci. Sports Exerc. 35(8): 1455-1460. doi: 10. 1249/01. MSS. 0000078932. 61440. A2. PMID: 12900704.
6. Freedson, P., Pober, D., and Janz, K. F. 2005. Calibration of accelerometer output for children. Med. Sci. Sports Exerc. 37(11 Suppl.): S523-S530. doi: 10. 1249/01. mss. 0000185658. 28284. ba. PMID: 16294115.
7. Guidolin, M., and Gradisar, M. 2012. Is shortened sleep duration a risk factor for overweight and obesity during adolescence? A review of the empirical literature. Sleep Med. 13(7): 779-786. doi: 10. 1016/j. sleep. 2012. 03. 016. PMID: 22633283.
8. Hatano, Y. 1997. Prevalence and use of the pedometer. Res. J. Walking, 1: 45-54.
9. Hjorth, M. F., Chaput, J. P., Damsgaard, C. T., Dalskov, S., Michaelsen, K. F., Tetens, I., et al. 2012. Measure of sleep and physical activity by a single accelerometer: Can a waist-worn Actigraph adequately measure sleep in children. Sleep Biol. Rhythms, 10: 328-335. doi: 10. 1111/j. 1479-8425. 2012. 00578. x.
10. Jean-Louis, G., Kripke, D. F., Cole, R. J., Assmus, J. D., and Langer, R. D. 2001. Sleep detection with an accelerometer actigraph: comparisons with polysomnography. Physiol. Behav. 72(1-2): 21-28. doi: 10. 1016/S0031-9384(00)00355-3. PMID: 11239977.
11. Kang, M., Bassett, D. R., Barreira, T. V., Tudor-Locke, C., Ainsworth, B., Reis, J. P., et al. 2009. How many days are enough? A study of 365 days of pedometer monitoring. Res. Q. Exerc. Sport, 80(3): 445-453. doi: 10. 1080/02701367. 2009. 10599582. PMID: 19791630.
12. Kinder, J. R., Lee, K. A., Thompson, H., Hicks, K., Topp, K., and Madsen, K. A. 2012. Validation of a hip-worn accelerometer in measuring sleep time in children. J. Pediatr. Nurs. 27(2): 127-133. doi: 10. 1016/j. pedn. 2010. 11. 004. PMID: 22341191.
13. Lazaratou, H., Soldatou, A., and Dikeos, D. 2012. Medical comorbidity of sleep disorders in children and adolescents. Curr. Opin. Psychiatry, 25(5): 391-397. doi: 10. 1097/YCO. 0b013e3283556c7a. PMID: 22801357.
14. Masse, L. C., Fuemmeler, B. F., Anderson, C. B., Matthews, C. E., Trost, S. G., Catellier, D. J., et al. 2005. Accelerometer data reduction: a comparison of four reduction algorithms on select outcome variables. Med. Sci. Sports Exerc. 37(11 Suppl.): S544-S554. PMID: 16294117.
15. McClain, J. J., and Tudor-Locke, C. 2008. Objective monitoring of physical activity in children: considerations for instrument selection. J. Sci. Med. Sport, 12(5): 526-533. doi: 10. 1016/j. jsams. 2008. 09. 012. PMID: 19054715.
16. Meltzer, L. J., Montgomery-Downs, H. E., Insana, S. P., and Walsh, C. M. 2012. Use of actigraphy for assessment in pediatric sleep research. Sleep Med. Rev. 16(5): 463-475. doi: 10. 1016/j. smrv. 2011. 10. 002. PMID: 22424706.
17. National Sleep Foundation [Internet]. National Sleep Foundation, Arlington, Va., USA. Available from http://www. sleepfoundation. org/article/how-sleepworks/ how-much-sleep-do-we-really-need. [Accessed 25 January 2012.]
18. Sadeh, A., Sharkey, K. M., and Carskadon, M. A. 1994. Activity-based sleep-wake identification: an empirical test of methodological issues. Sleep, 17(3): 201-207. PMID: 7939118.
19. Scholle, S., Beyer, U., Bernhard, M., Eichholz, S., Erler, T., Graness, P., et al. 2011. Normative values of polysomnographic parameters in childhood and adolescence: quantitative sleep parameters. Sleep Med. 12(6): 542-549. doi: 10. 1016/ j. sleep. 2010. 11. 011. PMID: 21601520.
20. Shrout, P. E., and Fleiss, J. L. 1979. Intraclass correlations: uses in assessing rater reliability. Psychol. Bull. 86(2): 420-428. doi: 10. 1037/0033-2909. 86. 2. 420. PMID: 18839484.
21. Treuth, M. S., Sherwood, N. E., Butte, N. F., McClanahan, B., Obarzanek, E., Zhou, A., et al. 2003. Validity and reliability of activity measures in African-American girls for GEMS. Med. Sci. Sports Exerc. 35(3): 532-539. doi: 10. 1249/ 01. MSS. 0000053702. 03884. 3F. PMID: 12618587.
22. Troiano, R. P., Berrigan, D., Dodd, K. W., Masse, L. C., Tilert, T., and McDowell, M. 2008. Physical activity in the United States measured by accelerometer. Med. Sci. Sports Exerc. 40(1): 181-188. doi: 10. 1249/mss. 0b013e31815a51b3. PMID: 18091006.