Issues Related to Measuring and Interpreting Objectively Measured Sedentary Behavior Data

Measurement in Physical Education and Exercise Science

Volumn 19, Issue 3, 2015, Pages 116-124

  Janssen, Xanne ^a   Cliff, Dylan P ^b  

^a UNIVERSITY OF STRATHCLYDE   (United Kingdom)

^b UNIVERSITY OF WOLLONGONG   (Australia)

Author keywords

Accelerometry; methodology; sitting

Indexed keywords

ACCELEROMETRY; ACTIMETRY; ARTICLE; BODY POSTURE; HUMAN; MOTION; PHYSICAL ACTIVITY; SEDENTARY LIFESTYLE; SITTING; STANDING; TIME; VALIDITY; WAKEFULNESS;

EID: 84939787792     PISSN: 1091367X     EISSN: 15327841     Source Type: Journal    
DOI: 10.1080/1091367X.2015.1045908     Document Type: Article

References (75)

1. Ainsworth, B. E., Haskell, W. L., Herrmann, S. D., Meckes, N., Bassett Jr, D. R., Tudor-Locke, C.,., Leon, A. S. (2011). 2011 Compendium of physical activities: A second update of codes and MET values. Medicine & Science in Sports & Exercise, 43, 1575-1581. doi: 10.1249/MSS.0b013e31821ece12
2. Altenburg, T. M., De Niet, M., Verloigne, M., De Bourdeaudhuij, I., Androutsos, O., Manios, Y.,., Chinapaw, M. J. M. (2015). Occurrence and duration of various operational definitions of sedentary bouts and cross-sectional associations with cardiometabolic health indicators: The ENERGY-project. Preventive Medicine, 71, 101-106. doi: 10.1016/j.ypmed.2014.12.015
3. Aminian, S., Hinckson, E. A. (2012). Examining the validity of the activPAL monitor in measuring posture and ambulatory movement in children. International Journal of Behavioral Nutrition and Physical Activity, 9, 2-9.
4. Atkin, A. J., Corder, K., Ekelund, U., Wijndaele, K., Griffin, S. J., Van Sluijs, E. M. (2013a). Determinants of change in childrens sedentary time. Plos One, 8, e67627.
5. Atkin, A. J., Ekelund, U., Møller, N. C., Froberg, K., Sardinha, L. B., Andersen, L. B., Brage, S. (2013b). Sedentary time in children: Influence of accelerometer processing on health relations. Medicine & Science in Sports & Exercise, 45, 1097-1104. doi: 10.1249/MSS.0b013e318282190e
6. Basterfield, L., Adamson, A. J., Frary, J. K., Parkinson, K. N., Pearce, M. S., Reilly, J. J. (2011). Longitudinal study of physical activity and sedentary behavior in children. Pediatrics, 127, e24-e30. doi: 10.1542/peds.2010-1935
7. Berendsen, B. A. J., Hendriks, M. R. C., Willems, P., Meijer, K., Schaper, N. C., Savelberg, H. H. C. M. (2014). A 20 min window is optimal in a non-wear algorithm for tri-axial thigh-worn accelerometry in overweight people. Physiological Measurement, 35, 2205-2212. doi: 10.1088/0967-3334/35/11/2205
8. Cain, K. L., Sallis, J. F., Conway, T. L., Van Dyck, D., Calhoon, L. (2013). Using accelerometers in youth physical activity studies: A review of methods. Journal of Physical Activity and Health, 10, 437-450.
9. Carr, L. J., Mahar, M. T. (2012). Accuracy of intensity and inclinometer output of three activity monitors for identification of sedentary behavior and light-intensity activity. Journal of Obesity, 2012, 1-9. doi: 10.1155/2012/460271.
10. Carson, V., Cliff, D. P., Janssen, X., Okely, A. D. (2013). Longitudinal levels and bouts of sedentary time among adolescent girls. BMC Pediatrics, 13, 173.
11. Carson, V., Janssen, I. (2011). Volume, patterns, and types of sedentary behavior and cardio-metabolic health in children and adolescents: A cross-sectional study. BMC Public Health, 11, 274.
12. Carson, V., Stone, M., Faulkner, G. (2014). Patterns of sedentary behavior and weight status among children. Pediatric Exercise Science, 26, 95-102. doi: 10.1123/pes.2013-0061
13. Chastin, S., Granat, M. (2010). Methods for objective measure, quantification and analysis of sedentary behaviour and inactivity. Gait & Posture, 31, 82-86. doi: 10.1016/j.gaitpost.2009.09.002
14. Chastin, S. F. M., Ferriolli, E., Stephens, N. A., Fearon, K. C., Greig, C. (2012). Relationship between sedentary behaviour, physical activity, muscle quality, and body composition in healthy older adults. Age and Ageing, 41, 111-114. doi: 10.1093/ageing/afr075
15. Chinapaw, M., Altenburg, T., Brug, J. (2015). Sedentary behaviour and health in children-Evaluating the evidence. Preventive Medicine, 70, 1-2. doi: 10.1016/j.ypmed.2014.10.029
16. Chinapaw, M., De Niet, M., Verloigne, M., De Bourdeaudhuij, I., Brug, J., Altenburg, T. (2014). From sedentary time to sedentary patterns: Accelerometer data reduction decisions in youth. Plos One, 9, e111205.
17. Choi, L., Liu, Z., Matthews, C. E., Buchowski, M. S. (2011). Validation of accelerometer wear and non-wear time classification algorithm. Medicine & Science in Sports & Exercise, 43, 357-364. doi: 10.1249/MSS.0b013e3181ed61a3
18. Choi, L., Ward, S. C., Schnelle, J. F., Buchowski, M. S. (2012). Assessment of wear/non-wear time classification algorithms for triaxial accelerometer. Medicine & Science in Sports & Exercise, 44, 2009-2016. doi: 10.1249/MSS.0b013e318258cb36
19. Cliff, D. P., Jones, R. A., Burrows, T. L., Morgan, P. J., Collins, C. E., Baur, L. A., Okely, A. D. (2014). Volumes and bouts of sedentary behavior and physical activity: Associations with cardiometabolic health in obese children. Obesity, 22, e112-e118. doi: 10.1002/oby.20698
20. Cliff, D. P., Okely, A. D., Burrows, T. L., Jones, R. A., Morgan, P. J., Collins, C. E., Baur, L. A. (2013). Objectively measured sedentary behavior, physical activity, and plasma lipids in overweight and obese children. Obesity, 21, 382-385. doi: 10.1002/oby.20005
21. Cliff, D. P., Reilly, J. J., Okely, A. D. (2009). Methodological considerations in using accelerometers to assess habitual physical activity in children aged 0-5 years. Journal of Science and Medicine in Sport, 12, 557-567. doi: 10.1016/j.jsams.2008.10.008
22. Colley, R. C., Garriguet, D., Janssen, I., Wong, S. L., Saunders, T. J., Carson, V., Tremblay, M. S. (2013). The association between accelerometer-measured patterns of sedentary time and health risk in children and youth: Results from the Canadian health measures survey. BMC Public Health, 13, 200.
23. Colley, R. C., Harvey, A., Grattan, K. P., Adamo, K. B. (2014). Impact of accelerometer epoch length on physical activity and sedentary behaviour outcomes for preschool-aged children. Health Reports, 25, 3-9.
24. Crouter, S. E., DellaValle, D. M., Haas, J. D., Frongillo, E. A., Bassett, D. R. (2013). Validity of actigraph 2-regression model and Matthews and NHANES and cut-points for assessing free-living physical activity. Journal of Physical Activity and Health, 10, 504-514.
25. Davies, G., Reilly, J., McGowan, A., Dall, P., Granat, M., Paton, J. (2012a). Validity, practical utility, and reliability of the activPAL™ in preschool children. Medicine & Science in Sports & Exercise, 44, 761-768. doi: 10.1249/MSS.0b013e31823b1dc7
26. Davies, G., Reilly, J. J., Paton, J. Y. (2012b). Objective measurement of posture and posture transitions in the pre-school child. Physiological Measurement, 33, 1913-1921. doi: 10.1088/0967-3334/33/11/1913
27. De Decker, E., De Craemer, M., Santos-Lozano, A., Van Cauwenberghe, E., De Bourdeaudhuij, I., Cardon, G. (2013). Validity of the activPAL™ and the ActiGraph monitors in preschoolers. Medicine & Science in Sports & Exercise, 45, 2002-2011. doi: 10.1249/MSS.0b013e318292c575
28. Denton, S. J., Trenell, M. I., Plötz, T., Savory, L. A., Bailey, D. P., Kerr, C. J. (2013). Cardiorespiratory fitness is associated with hard and light intensity physical activity but not time spent sedentary in 10-14 year old schoolchildren: The HAPPY study. Plos One, 8, e61073.
29. Dowd, K. P., Harrington, D. M., Donnelly, A. E. (2012). Criterion and concurrent validity of the activPAL™ professional physical activity monitor in adolescent females. Plos One, 7, e47633.
30. Dunstan, D. W., Kingwell, B. A., Larsen, R., Healy, G. N., Cerin, E., Hamilton, M. T.,., Owen, N. (2012). Breaking up prolonged sitting reduces postprandial glucose and insulin responses. Diabetes Care, 35, 976-983. doi: 10.2337/dc11-1931
31. Edwardson, C. L., Gorely, T. (2010). Epoch length and its effect on physical activity intensity. Medicine & Science in Sports & Exercise, 42, 928-934. doi: 10.1249/MSS.0b013e3181c301f5
32. Esliger, D. W., Rowlands, A. V., Hurst, T. L., Catt, M., Murray, P., Eston, R. G. (2011). Validation of the GENEA accelerometer. Medicine & Science in Sports & Exercise, 43, 1085-1093. doi: 10.1249/MSS.0b013e31820513be
33. Fröberg, A., Raustorp, A. (2014). Objectively measured sedentary behaviour and cardio-metabolic risk in youth: A review of evidence. European Journal of Pediatrics, 173, 845-860. doi: 10.1007/s00431-014-2333-3
34. Hagenbuchner, M., Cliff, D. P., Trost, S. G., Van Tuc, N., Peoples, G. E. (2014). Prediction of activity type in preschool children using machine learning techniques. Journal of Science and Medicine in Sport,. (ahead of print). doi: 10.1016/j.jsams.2014.06.003
35. Healy, G. N., Dunstan, D. W., Salmon, J., Cerin, E., Shaw, J. E., Zimmet, P. Z., Owen, N. (2008). Breaks in sedentary time: Beneficial associations with metabolic risk. Diabetes Care, 31, 661-666. doi: 10.2337/dc07-2046
36. Healy, G. N., Matthews, C. E., Dunstan, D. W., Winkler, E. A., Owen, N. (2011). Sedentary time and cardio-metabolic biomarkers in US adults: NHANES 2003-06. European Heart Journal, 32, 590-597. doi: 10.1093/eurheartj/ehq451.
37. Janssen, X., Cliff, D., Okely, A. D., Hinkley, T., Reilly, J., Jones, R., Brage, S. (2012). Comparison of ActiGraph cut-points for predicting physical activity intensity in preschool children. Journal of Science and Medicine in Sport, 15, S66.
38. Janssen, X., Cliff, D., Okely, A. D., Jones, R. A., Batterham, M., Ekelund, U.,., Reilly, J. J. (2013a). Practical utility and reliability of whole-room calorimetry in young children. British Journal of Nutrition, 109, 1917-1922. doi: 10.1017/S0007114512003820
39. Janssen, X., Cliff, D., Reilly, J., Hinkley, T., Jones, R., Batterham, M.,., Okely, T. (2015). Evaluation of actical equations and thresholds to predict physical activity intensity in young children. Journal of Sports Sciences, 33 (5), 498-506. doi: 10.1080/02640414.2014.949826
40. Janssen, X., Cliff, D. P., Reilly, J. J., Hinkley, T., Jones, R., Batterham, M.,., Okely, A. D. (2014a). Validation of activPAL defined sedentary time and breaks in sedentary time in 4-to 6-year-olds. Pediatric Exercise Science, 26, 110-117. doi: 10.1123/pes.2013-0106
41. Janssen, X., Cliff, D. P., Reilly, J. J., Hinkley, T., Jones, R. A., Batterham, M.,., Okely, A. D. (2014b). Validation and calibration of the activPAL™ for estimating METs and physical activity in 4-6 year olds. Journal of Science and Medicine in Sport, 17, 602-606. doi: 10.1016/j.jsams.2013.10.252
42. Janssen, X., Cliff, D. P., Reilly, J. J., Hinkley, T., Jones, R. A., Batterham, M., Okely, A. D. (2013b). Predictive validity and classification accuracy of ActiGraph energy expenditure equations and cut-points in young children. Plos One, 8, e79124.
43. Kim, Y., Welk, G. J., Braun, S. I., Kang, M. (2015). Extracting objective estimates of sedentary behavior from accelerometer data: Measurement considerations for surveillance and research applications. Plos One, 10, e0118078.
44. Kozey-Keadle, S., Libertine, A., Lyden, K., Staudenmayer, J., Freedson, P. S. (2011). Validation of wearable monitors for assessing sedentary behavior. Medicine & Science in Sports & Exercise, 43, 1561-1567. doi: 10.1249/MSS.0b013e31820ce174
45. Kwon, S., Burns, T. L., Levy, S. M., Janz, K. F. (2012). Breaks in sedentary time during childhood and adolescence: Iowa Bone Development Study. Medicine & Science in Sports & Exercise, 44, 1075-1080. doi: 10.1249/MSS.0b013e318245ca20
46. Kwon, S., Burns, T. L., Levy, S. M., Janz, K. F. (2013). Which contributes more to childhood adiposity-high levels of sedentarism or low levels of moderate-through-vigorous physical activity? The Iowa Bone Development Study. The Journal of Pediatrics, 162, 1169-1174. doi: 10.1016/j.jpeds.2012.11.071
47. Lyden, K., Keadle, S. K., Staudenmayer, J., Freedson, P. S. (2014). A method to estimate free-living active and sedentary behavior from an accelerometer. Medicine & Science in Sports & Exercise, 46, 386-397. doi: 10.1249/MSS.0b013e3182a42a2d
48. Lyden, K., Kozey Keadle, S. L., Staudenmayer, J. W., Freedson, P. S. (2012). Validity of two wearable monitors to estimate breaks from sedentary time. Medicine & Science in Sports & Exercise, 44, 2243-2252. doi: 10.1249/MSS.0b013e318260c477
49. Martin, A., McNeill, M., Penpraze, V., Dall, P., Granat, M., Paton, J., Reilly, J. (2011). Objective measurement of habitual sedentary behavior in pre-school children: Comparison of activPAL with Actigraph monitors. Pediatric Exercise Science, 23, 468-476.
50. Matthews, C. E., Chen, K. Y., Freedson, P. S., Buchowski, M. S., Beech, B. M., Pate, R. R., Troiano, R. P. (2008). Amount of time spent in sedentary behaviors in the United States, 2003-2004. American Journal of Epidemiology, 167, 875-881. doi: 10.1093/aje/kwm390
51. Mitchell, J. A., Pate, R. R., Beets, M., Nader, P. (2012a). Time spent in sedentary behavior and changes in childhood BMI: A longitudinal study from ages 9 to 15 years. International Journal of Obesity, 37, 54-60. doi: 10.1038/ijo.2012.41
52. Mitchell, J. A., Pate, R. R., Dowda, M., Mattocks, C., Riddoch, C., Ness, A. R., Blair, S. N. (2012b). A prospective study of sedentary behavior in a large cohort of youth. Medicine & Science in Sports & Exercise, 44, 1081-1087. doi: 10.1249/MSS.0b013e3182446c65
53. Oliver, M., Badland, H. M., Schofield, G. M., Shepherd, J. (2011). Identification of accelerometer non-wear time and sedentary behavior. Research Quarterly for Exercise and Sport, 82, 779-783. doi: 10.1080/02701367.2011.10599814
54. Oliver, M., Schluter, P. J., Healy, G. N., Tautolo, E.-S., Schofield, G., Rush, E. (2013). Associations between breaks in sedentary time and body size in pacific mothers and their children: Findings from the pacific islands families study. Journal of Physical Activity and Health, 10, 1166-1174.
55. Oliver, M., Schofield, G. M., Badland, H. M., Shepherd, J. (2010). Utility of accelerometer thresholds for classifying sitting in office workers. Preventive Medicine, 51, 357-360. doi: 10.1016/j.ypmed.2010.08.010
56. Ortega, F. B., Konstabel, K., Pasquali, E., Ruiz, J. R., Hurtig-Wennlöf, A., Maëstu, J., Labayen, I. (2013). Objectively measured physical activity and sedentary time during childhood, adolescence, and young adulthood: A cohort study. Plos One, 8, e60871.
57. Parkinson, K. N., Pearce, M. S., Dale, A., Reilly, J. J., Drewett, R. F., Wright, C. M.,., Adamson, A. J. (2011). Cohort profile: The gateshead millennium study. International Journal of Epidemiology, 40, 308-317. doi: 10.1093/ije/dyq015
58. Phillips, L. R. S., Parfitt, G., Rowlands, A. V. (2013). Calibration of the GENEA accelerometer for assessment of physical activity intensity in children. Journal of Science and Medicine in Sport, 16, 124-128. doi: 10.1016/j.jsams.2012.05.013
59. Ridgers, N. D., Fairclough, S. (2011). Assessing free-living physical activity using accelerometry: Practical issues for researchers and practitioners. European Journal of Sport Science, 11, 205-213. doi: 10.1080/17461391.2010.501116
60. Ridgers, N. D., Salmon, J., Ridley, K., OConnell, E., Arundell, L., Timperio, A. (2012). Agreement between activPAL and ActiGraph for assessing childrens sedentary time. International Journal of Behavioral Nutrition and Physical Activity, 9, 15. doi: 10.1186/1479-5868-9-15.
61. Rowlands, A. V., Olds, T. S., Hillsdon, M., Pulsford, R., Hurst, T. L., Eston, R. G.,., Langford, J. (2014). Assessing sedentary behavior with the GENEActiv: Introducing the sedentary sphere. Medicine & Science in Sports & Exercise, 46, 1235-1247. doi: 10.1249/MSS.0000000000000224
62. Salmon, J., Arundell, L., Hume, C., Brown, H., Hesketh, K., Dunstan, D. W., Moodie, M. (2011). A cluster-randomized controlled trial to reduce sedentary behavior and promote physical activity and health of 8-9 year olds: The Transform-Us! Study. BMC Public Health, 11, 759.
63. Saunders, T. J., Tremblay, M. S., Mathieu, M.-È., Henderson, M., OLoughlin, J., Tremblay, A., Group, Q. C. R. (2013). Associations of sedentary behavior, sedentary bouts, and breaks in sedentary time with cardiometabolic risk in children with a family history of obesity. Plos One, 8, e79143.
64. Schaefer, C. A., Nigg, C. R., Hill, J. O., Brink, L. A., Browning, R. C. (2014). Establishing and evaluating wrist cutpoints for the GENEActiv accelerometer in youth. Medicine & Science in Sports & Exercise, 46, 826-833. doi: 10.1249/MSS.0000000000000150
65. Sedentary Behaviour Research Network. (2012). Letter to the editor: Standardized use of the terms "sedentary" and "sedentary behaviours". Applied Physiology, Nutrition, and Metabolism, 37, 540-542. doi: 10.1139/h2012-024
66. Steeves, J. A., Bowles, H. R., McClain, J. J., Dodd, K. W., Brychta, R. J., Wang, J., Chen, K. Y. (2015). Ability of thigh-worn Actigraph and activPAL monitors to classify posture and motion. Medicine & Science in Sports & Exercise, 47, 952-959. doi: 10.1249/MSS.0000000000000497
67. Trang, N. H., Hong, T. K., Van Der Ploeg, H. P., Hardy, L. L., Kelly, P. J., Dibley, M. J. (2013). Longitudinal sedentary behavior changes in adolescents in Ho Chi Minh City. American Journal of Preventive Medicine, 44, 223-230. doi: 10.1016/j.amepre.2012.10.021
68. Trost, S. G., Fees, B. S., Haar, S. J., Murray, A. D., Crowe, L. K. (2012). Identification and validity of accelerometer cut-points for toddlers. Obesity, 20, 2317-2319. doi: 10.1038/oby.2011.364
69. Trost, S. G., Loprinzi, P. D., Moore, R., Pfeiffer, K. A. (2011). Comparison of accelerometer cut points for predicting activity intensity in youth. Medicine & Science in Sports & Exercise, 43, 1360-1368. doi: 10.1249/MSS.0b013e318206476e
70. Trost, S. G., Zheng, Y., Wong, W.-K. (2014). Machine learning for activity recognition: Hip versus wrist data. Physiological Measurement, 35, 2183-2189. doi: 10.1088/0967-3334/35/11/2183
71. Van Cauwenberghe, E., Wooller, L., Mackay, L., Cardon, G., Oliver, M. (2012). Comparison of Actical and activPAL measures of sedentary behaviour in preschool children. Journal of Science and Medicine in Sport, 15, 526-531. doi: 10.1016/j.jsams.2012.03.014
72. Welch, W. A., Bassett, D. R., Freedson, P. S., John, D., Steeves, J. A., Conger, S. A.,., Sasaki, J. E. (2014). Cross-validation of waist-worn GENEA accelerometer cut-points. Medicine & Science in Sports & Exercise, 46, 1825-1830. doi: 10.1249/MSS.0000000000000283
73. Welch, W. A., Bassett, D. R., Thompson, D. L., Freedson, P. S., Staudenmayer, J. W., John, D.,., Fitzhugh, E. C. (2013). Classification accuracy of the wrist-worn gravity estimator of normal everyday activity accelerometer. Medicine & Science in Sports & Exercise, 45, 2012-2019. doi: 10.1249/MSS.0b013e3182965249
74. Winkler, E. A., Gardiner, P. A., Clark, B. K., Matthews, C. E., Owen, N., Healy, G. N. (2012). Identifying sedentary time using automated estimates of accelerometer wear time. British Journal of Sports Medicine, 46, 436-442. doi: 10.1136/bjsm.2010.079699
75. Zhang, S., Rowlands, A. V., Murray, P., Hurst, T. L. (2012). Physical activity classification using the GENEA wrist-worn accelerometer. Medicine & Science in Sports & Exercise, 44, 742-748. doi: 10.1249/MSS.0b013e31823bf95c