Examination of different accelerometer cut-points for assessing sedentary behaviors in children

PLoS ONE

Volumn 9, Issue 4, 2014, Pages

  Kim, Youngwon ^a   Lee, Jung Min ^b   Peters, Bradley P ^a   Gaesser, Glenn A ^c   Welk, Gregory J ^a  

^a IOWA STATE UNIVERSITY   (United States)

^b UNIVERSITY OF NEBRASKA AT OMAHA   (United States)

^c ARIZONA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACCELEROMETER; ACCURACY; ACTIMETRY; ADOLESCENT; AGE DISTRIBUTION; AREA UNDER THE CURVE; ARTICLE; CHILD; CHILD BEHAVIOR; CLASSIFICATION ALGORITHM; CLINICAL CLASSIFICATION; CONTROLLED STUDY; DATA ANALYSIS; FEMALE; HIP WORN ACCELEROMETER; HUMAN; HUMAN EXPERIMENT; INTERMETHOD COMPARISON; MALE; PHYSICAL ACTIVITY; RECEIVER OPERATING CHARACTERISTIC; REFERENCE VALUE; SCHOOL CHILD; SEDENTARY LIFESTYLE; SENSITIVITY AND SPECIFICITY; TASK PERFORMANCE; VALIDATION PROCESS; WRIST WORN ACCELEROMETER; ACCELEROMETRY; AMBULATORY MONITORING; BODY MASS; DEVICES; EXERCISE; HIP; MOTOR ACTIVITY; PHYSIOLOGY; PROCEDURES; RANDOMIZED CONTROLLED TRIAL; SPORT; WRIST;

ACCELEROMETRY; ADOLESCENT; BODY MASS INDEX; CHILD; EXERCISE; FEMALE; HIP; HUMANS; MALE; MONITORING, AMBULATORY; MOTOR ACTIVITY; SEDENTARY LIFESTYLE; SPORTS; WRIST;

EID: 84899057792     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0090630     Document Type: Article

References (43)

1. Dasgupta K, O'Loughlin J, Chen S, Karp I, Paradis G, et al. (2006) Emergence of sex differences in prevalence of high systolic blood pressure: analysis of a longitudinal adolescent cohort. Circulation 114: 2663-2670. (Pubitemid 44967350)
2. Santos R, Mota J, Okely AD, Pratt M, Moreira C, et al. (2013) The independent associations of sedentary behaviour and physical activity on cardiorespiratory fitness. Br J Sports Med.
3. van Grieken A, Ezendam NP, Paulis WD, van der Wouden JC, Raat H (2012) Primary prevention of overweight in children and adolescents: a meta-analysis of the effectiveness of interventions aiming to decrease sedentary behaviour. Int J Behav Nutr Phys Act 9: 61.
4. Robinson TN, Killen JD, Kraemer HC, Wilson DM, Matheson DM, et al. (2003) Dance and reducing television viewing to prevent weight gain in African-American girls: the Stanford GEMS pilot study. Ethn Dis 13: S65-77.
5. Pate RR, Mitchell JA, Byun W, Dowda M (2011) Sedentary behaviour in youth. Br J Sports Med 45: 906-913.
6. Brodersen NH, Steptoe A, Boniface DR, Wardle J (2007) Trends in physical activity and sedentary behaviour in adolescence: ethnic and socioeconomic differences. Br J Sports Med 41: 140-144. (Pubitemid 46579896)
7. Evenson KR, Catellier DJ, Gill K, Ondrak KS, McMurray RG (2008) Calibration of two objective measures of physical activity for children. J Sports Sci 26: 1557-1565.
8. Pulsford RM, Cortina-Borja M, Rich C, Kinnafick FE, Dezateux C, et al. (2011) Actigraph accelerometer-defined boundaries for sedentary behaviour and physical activity intensities in 7 year old children. PLoS One 6: e21822.
9. Treuth MS, Schmitz K, Catellier DJ, McMurray RG, Murray DM, et al. (2004) Defining accelerometer thresholds for activity intensities in adolescent girls. Med Sci Sports Exerc 36: 1259-1266. (Pubitemid 38879005)
10. Matthews CE, Chen KY, Freedson PS, Buchowski MS, Beech BM, et al. (2008) Amount of time spent in sedentary behaviors in the United States, 2003-2004. Am J Epidemiol 167: 875-881. (Pubitemid 351451752)
11. Troiano RP, Berrigan D, Dodd KW, Masse LC, Tilert T, et al. (2008) Physical activity in the United States measured by accelerometer. Med Sci Sports Exerc 40: 181-188.
12. Ortega FB, Konstabel K, Pasquali E, Ruiz JR, Hurtig-Wennlof A, et al. (2013) Objectively Measured Physical Activity and Sedentary Time during Childhood, Adolescence and Young Adulthood: A Cohort Study. PLoS One 8: e60871.
13. Ruiz JR, Ortega FB, Martinez-Gomez D, Labayen I, Moreno LA, et al. (2011) Objectively measured physical activity and sedentary time in European adolescents: the HELENA study. Am J Epidemiol 174: 173-184.
14. Steele RM, van Sluijs EM, Sharp SJ, Landsbaugh JR, Ekelund U, et al. (2010) An investigation of patterns of children's sedentary and vigorous physical activity throughout the week. Int J Behav Nutr Phys Act 7: 88.
15. Celis-Morales CA, Perez-Bravo F, Ibanez L, Salas C, Bailey ME, et al. (2012) Objective vs. self-reported physical activity and sedentary time: effects of measurement method on relationships with risk biomarkers. PLoS One 7: e36345.
16. Chinapaw MJ, Yildirim M, Altenburg TM, Singh AS, Kovacs E, et al. (2012) Objective and self-rated sedentary time and indicators of metabolic health in Dutch and Hungarian 10-12 year olds: the ENERGY-Project. PLoS One 7: e36657.
17. van Sluijs EM, Page A, Ommundsen Y, Griffin SJ (2010) Behavioural and social correlates of sedentary time in young people. Br J Sports Med 44: 747-755.
18. King AC, Parkinson KN, Adamson AJ, Murray L, Besson H, et al. (2011) Correlates of objectively measured physical activity and sedentary behaviour in English children. Eur J Public Health 21: 424-431.
19. Janz KF, Burns TL, Levy SM (2005) Tracking of activity and sedentary behaviors in childhood: the Iowa Bone Development Study. Am J Prev Med 29: 171-178. (Pubitemid 41317205)
20. Cliff DP, Okely AD, Burrows TL, Jones RA, Morgan PJ, et al. (2013) Objectively measured sedentary behavior, physical activity, and plasma lipids in overweight and obese children. Obesity (Silver Spring) 21: 382-385.
21. Eaton DK, Kann L, Kinchen S, Shanklin S, Flint KH, et al. (2012) Youth risk behavior surveillance - United States, 2011. MMWR Surveill Summ 61: 1-162.
22. Sardinha LB, Andersen LB, Anderssen SA, Quiterio AL, Ornelas R, et al. (2008) Objectively measured time spent sedentary is associated with insulin resistance independent of overall and central body fat in 9- to 10-year-old Portuguese children. Diabetes Care 31: 569-575.
23. Vanhelst J, Beghin L, Rasoamanana P, Theunynck D, Meskini T, et al. (2010) Calibration of the RT3 accelerometer for various patterns of physical activity in children and adolescents. J Sports Sci 28: 381-387.
24. Rowlands AV, Thomas PW, Eston RG, Topping R (2004) Validation of the RT3 triaxial accelerometer for the assessment of physical activity. Med Sci Sports Exerc 36: 518-524. (Pubitemid 38298706)
25. Mackintosh KA, Fairclough SJ, Stratton G, Ridgers ND (2012) A calibration protocol for population-specific accelerometer cut-points in children. PLoS One 7: e36919.
26. Chu EY, McManus AM, Yu CC (2007) Calibration of the RT3 accelerometer for ambulation and nonambulation in children. Med Sci Sports Exerc 39: 2085-2091. (Pubitemid 350073375)
27. Atkin AJ, Ekelund U, Moller NC, Froberg K, Sardinha LB, et al. (2013) Sedentary time in children: influence of accelerometer processing on health relations. Med Sci Sports Exerc 45: 1097-1104.
28. Bailey DP, Boddy LM, Savory LA, Denton SJ, Kerr CJ (2013) Choice of activity-intensity classification thresholds impacts upon accelerometer-assessed physical activity-health relationships in children. PLoS One 8: e57101.
29. Ainsworth BE, Haskell WL, Herrmann SD, Meckes N, Bassett DR Jr, et al. (2011) 2011 Compendium of Physical Activities: a second update of codes and MET values. Med Sci Sports Exerc 43: 1575-1581.
30. Landis JR, Koch GG (1977) The measurement of observer agreement for categorical data. Biometrics 33: 159-174. (Pubitemid 8054849)
31. Trost SG, Loprinzi PD, Moore R, Pfeiffer KA (2011) Comparison of accelerometer cut points for predicting activity intensity in youth. Med Sci Sports Exerc 43: 1360-1368.
32. Ridgers ND, Salmon J, Ridley K, O'Connell E, Arundell L, et al. (2012) Agreement between activPAL and ActiGraph for assessing children's sedentary time. Int J Behav Nutr Phys Act 9: 15.
33. Fischer C, Yildirim M, Salmon J, Chinapaw MJ (2012) Comparing different accelerometer cut-points for sedentary time in children. Pediatr Exerc Sci 24: 220-228.
34. Hart TL, Ainsworth BE, Tudor-Locke C (2011) Objective and Subjective Measures of Sedentary Behavior and Physical Activity. Med Sci Sport Exer 43: 449-456.
35. Trost SG, McIver KL, Pate RR (2005) Conducting accelerometer-based activity assessments in field-based research. Med Sci Sports Exerc 37: S531-543. (Pubitemid 41691816)
36. Hanggi JM, Phillips LR, Rowlands AV (2013) Validation of the GT3X ActiGraph in children and comparison with the GT1M ActiGraph. J Sci Med Sport 16: 40-44.
37. Crouter SE, Horton M, Bassett DR Jr (2013) Validity of ActiGraph child-specific equations during various physical activities. Med Sci Sports Exerc 45: 1403-1409.
38. Pate RR, O'Neill JR, Lobelo F (2008) The evolving definition of "sedentary". Exerc Sport Sci Rev 36: 173-178.
39. Bassett DR, Rowlands A, Trost SG (2012) Calibration and Validation of Wearable Monitors. Med Sci Sport Exer 44: S32-S38.
40. Freedson P, Bowles HR, Troiano R, Haskell W (2012) Assessment of Physical Activity Using Wearable Monitors: Recommendations for Monitor Calibration and Use in the Field. Med Sci Sport Exer 44: S1-S4.
41. Freedson PS, Lyden K, Kozey-Keadle S, Staudenmayer J (2011) Evaluation of artificial neural network algorithms for predicting METs and activity type from accelerometer data: validation on an independent sample. J Appl Physiol (1985) 111: 1804-1812.
42. Freedson P, Pober D, Janz KF (2005) Calibration of accelerometer output for children. Med Sci Sports Exerc 37: S523-530. (Pubitemid 41691815)
43. Kim Y, Beets MW, Pate RR, Blair SN (2013) The effect of reintegrating Actigraph accelerometer counts in preschool children: Comparison using different epoch lengths. J Sci Med Sport 16: 129-134.