24 h Accelerometry: impact of sleep-screening methods on estimates of sedentary behaviour and physical activity while awake

Journal of Sports Sciences

Volumn 34, Issue 7, 2016, Pages 679-685

  Meredith Jones, Kim ^a   Williams, Sheila ^a   Galland, Barbara ^a   Kennedy, Gavin ^a   Taylor, Rachael ^a  

^a UNIVERSITY OF OTAGO   (New Zealand)

Author keywords

24 h accelerometry; Physical activity; sedentary sleep

Indexed keywords

ACCELEROMETRY; BODY FAT DISTRIBUTION; BODY MASS; CHILD; CONTROLLED STUDY; FEMALE; HUMAN; MALE; MOTOR ACTIVITY; PHYSIOLOGY; PROCEDURES; RANDOMIZED CONTROLLED TRIAL; SEDENTARY LIFESTYLE; SLEEP; TIME FACTOR; WAIST TO HEIGHT RATIO;

ACCELEROMETRY; BODY FAT DISTRIBUTION; BODY MASS INDEX; CHILD; FEMALE; HUMANS; MALE; MOTOR ACTIVITY; SEDENTARY LIFESTYLE; SLEEP; TIME FACTORS; WAIST-HEIGHT RATIO;

EID: 84955738703     PISSN: 02640414     EISSN: 1466447X     Source Type: Journal    
DOI: 10.1080/02640414.2015.1068438     Document Type: Article

References (30)

1. C.Acebo,, A.Sadeh,, R.Seifer,, O.Tzischinsky,, A.R.Wolfson,, A.Hafer,, & M.A.Carskadon, (1999). Estimating sleep patterns with activity monitoring in children and adolescents: How many nights are necessary for reliable measures? Sleep, 22(1), 95–103.
2. Active Healthy Kids Canada. (2014). Is Canada in the running? the 2014 active healthy kids Canada report card on physical activity for children and youth. Toronto: Author.
3. N.F.Butte,, M.R.Puyau,, A.L.Adolph,, F.A.Vohra,, & I.Zakeri, (2007). Physical activity in nonoverweight and overweight hispanic children and adolescents. Medicine & Science in Sports & Exercise, 39(8), 1257–1266.
4. K.L.Cain,, J.F.Sallis,, T.L.Conway,, D.Van Dyck,, & L.Calhoon, (2013). Using accelerometers in youth physical activity studies: A review of methods. Journal of Physical Activity & Health, 10(3), 437–450.
5. M.J.M.Chinapaw,, M.De Niet,, M.Verloigne,, I.De Bourdeaudhuij,, J.Brug,, & T.M.Altenburg, (2014). From sedentary time to sedentary patterns: Accelerometer data reduction decisions in youth. PLoS ONE, 9, 11.
6. R.Colley,, C.Gorber, S,, & M.S.Tremblay, (2010). Quality control and data reduction procedures for accelerometry-derived measures of physical activity. Health Reports, 21(1), 63–69.
7. E.A.Dayyat,, K.Spruyt,, D.L.Molfese,, & D.Gozal, (2011). Sleep estimates in children: Parental versus actigraphic assessments. Nature and Science of Sleep, Oct, 28(3), 115–123.
8. J.Eisenkölbl,, M.Kartasurya,, & K.Widhalm, (2001). Underestimation of percentage fat mass measured by bioelectrical impedance analysis compared to dual energy X-ray absorptiometry method in obese children. European Journal of Clinical Nutrition, 55(6), 423–429.
9. B.C.Galland,, G.J.Kennedy,, E.A.Mitchell,, & B.J.Taylor, (2012). Algorithms for using an activity-based accelerometer for identification of infant sleep-wake states during nap studies. Sleep Medicine, 13(6), 743–751.
10. B.C.Galland,, B.J.Taylor,, D.E.Elder,, & P.Herbison, (2012). Normal sleep patterns in infants and children: A systematic review of observational studies. Sleep Medicine Reviews, 16(3), 213–222.
11. S.D.Herrmann,, T.V.Barreira,, M.Kang,, & B.E.Ainsworth, (2014). Impact of accelerometer wear time on physical activity data: A NHANES semisimulation data approach. British Journal of Sports Medicine, 48, 278–282.
12. M.F.Hjorth,, J.-P.Chaput,, C.Ritz,, S.-M.Dalskov,, R.Andersen,, A.Astrup,, & A.Sjodin, (2014). Fatness predicts decreased physical activity and increased sedentary time, but not vice versa: Support from a longitudinal study in 8- to 11-year-old children. International Journal of Obesity, 38, 959–965.
13. I.Iglowstein,, O.G.Jenni,, L.Molinari,, & R.H.Largo, (2003). Sleep duration from infancy to adolescence: Reference values and generational trends. Pediatrics, 111(2), 302–307.
14. J.R.Kinder,, K.A.Lee,, H.Thompson,, K.Hicks,, K.Topp,, & K.A.Madsen, (2012). Validation of a hip-worn accelerometer in measuring sleep time in children. Journal of Pediatric Nursing, 27(2), 127–133.
15. S.Kotagal,, & A.Chopra, (2012). Pediatric sleep-wake disorders. Neurologic Clinics, 30(4), 1193–1212.
16. S.Kwon,, & K.F.Janz, (2012). Tracking of accelerometry-measured physical activity during childhood: ICAD pooled analysis. International Journal of Behavioral Nutrition and Physical Activity, 9(1), 68.
17. C.Mattocks,, A.Ness,, S.Leary,, K.Tilling,, S.N.Blair,, J.Shield,, & G.D.Smith, (2008). Use of accelerometers in a large field-based study of children: Protocols, design issues, and effects on precision. Journal of Physical Activity and Health, 5, S98–S111.
18. A.Nilsson,, U.Ekelund,, A.Yngve,, & M.Sjostrom, (2002). Assessing physical activity among children with accelerometers using different time sampling intervals and placements. Pediatr Exerc Sci, 14(1), 87–96.
19. M.R.Puyau,, A.L.Adolph,, F.A.Vohra,, & N.F.Butte, (2002). Validation and calibration of physical activity monitors in children. Obesity Research, 10(3), 150–157.
20. C.Rich,, M.Geraci,, L.Griffiths,, F.Sera,, C.Dezateux,, & M.Cortina-Borja, (2013). Quality control methods in accelerometer data processing: Defining minimum wear time. PLoS ONE, 8(6), e67206.
21. A.Sadeh,, K.M.Sharkey,, & M.A.Carskadon, (1994). Activity-based sleep-wake identification: An empirical test of methodological issues. Sleep, 17(3), 201–207.
22. R.W.Taylor,, D.Brown,, A.M.Dawson,, J.Haszard,, A.Cox,, E.A.Rose,, & J.Ross, (2010). Motivational interviewing for screening and feedback and encouraging lifestyle changes to reduce relative weight in 4-8 year old children: Design of the MInT study. BMC Public Health, 10(1), 271.
23. M.Toftager,, P.Kristensen,, M.Oliver,, S.Duncan,, L.Christiansen,, E.Boyle,, & J.Troelsen, (2013). Accelerometer data reduction in adolescents: Effects on sample retention and bias. International Journal of Behavioral Nutrition and Physical Activity, 10(1), 140.
24. M.S.Treuth,, N.E.Sherwood,, N.F.Butte,, B.McClanahan,, E.Obarzanek,, A.Zhou,, & C.Rochon, (2003). Validity and reliability of activity measures in African-American girls for GEMS. Medicine & Science in Sports & Exercise, 35(3), 532–539.
25. R.P.Troiano, (2007). Large-scale applications of accelerometers: New frontiers and new questions. Medicine and Science in Sports and Exercise, 39(9), 1501.
26. R.P.Troiano, (2012). Physical activity among children and adolescents: Data from national health and nutrition examination survey (NHANES) 2003-2006 (pp. 27–29). Hyattsville, MD: Centers for Disease Control.
27. R.P.Troiano,, D.Berrigan,, K.W.Dodd,, L.C.Mâsse,, T.Tilert,, & M.McDowell, (2008). Physical activity in the United States measured by accelerometer. Medicine & Science in Sports & Exercise, 40(1), 181–188.
28. S.G.Trost,, P.D.Loprinzi,, R.Moore,, & K.A.Pfeiffer, (2011). Comparison of accelerometer cut points for predicting activity intensity in youth. Medicine & Science in Sports & Exercise, 43(7), 1360–1368.
29. S.G.Trost,, K.L.McIver,, & R.R.Pate, (2005). Conducting accelerometer-based activity assessments in field-based research. Medicine & Science in Sports & Exercise, 37(11 Suppl), S531–S543.
30. C.Tudor-Locke,, T.V.Barreira,, J.M.Schuna,, E.F.Mire,, & P.T.Katzmarzyk, (2013). 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, 39(1), 53–57.