References
- Aadland, E., Andersen, L. B., Skrede, T., Ekelund, U., Anderssen, S. A., & Resaland, G. K. (2017). Reproducibility of objectively measured physical activity and sedentary time over two seasons in children; Comparing a day-by-day and a week-by-week approach. PloS One, 12(12), e0189304. https://doi.org/10.1371/journal.pone.0189304
- Aadland, E., & Johannessen, K. (2015). Agreement of objectively measured physical activity and sedentary time in preschool children. Preventive Medicine Reports, 2, 635–639. https://doi.org/10.1016/j.pmedr.2015.07.009
- Aadland, E., & Ylvisåker, E. (2015). Reliability of objectively measured sedentary time and physical activity in adults. PloS One, 10(7), 1–13. https://doi.org/10.1371/journal.pone.0133296
- Addy, C. L., Trilk, J. L., Dowda, M., Byun, W., & Pate, R. R. (2014). Assessing preschool children’s physical activity: How many days of accelerometry measurement. Pediatric Exercise Science, 26(1), 103–109. https://doi.org/10.1123/pes.2013-0021
- Atkin, A. J., Sharp, S. J., Harrison, F., Brage, S., & Van Sluijs, E. M. F. (2016). Seasonal variation in children’s physical activity and sedentary time. Medicine & Science in Sports & Exercise, 48(3), 449–456. https://doi.org/10.1249/mss.0000000000000786
- Baranowski, T., Masse, L. C., Ragan, B., & Welk, G. (2008). How many days was that? We’re still not sure, but we’re asking the question better! Medicine & Science in Sports & Exercise, 40(7), S544–S9. https://doi.org/10.1249/MSS.0b013e31817c6651
- Basterfield, L., Adamson, A. J., Pearce, M. S., & Reilly, J. J. (2011). Stability of habitual physical activity and sedentary behavior monitoring by accelerometry in 6-to 8-year-olds. Journal of Physical Activity and Health, 8(4), 543–547. https://doi.org/10.1123/jpah.8.4.543
- Bisson, M., Tremblay, F., Pronovost, E., Julien, A., & Marc, I. (2019). Accelerometry to measure physical activity in toddlers: Determination of wear time requirements for a reliable estimate of physical activity. Journal of Sports Sciences, 37(3), 298–305. https://doi.org/10.1080/02640414.2018.1499391
- Bland, J. M., & Altman, D. G. (1986). Statistical methods for assessing agreement between two methods of clinical measurement. Lancet, 1(8476), 307–310. https://doi.org/10.1016/S0140-6736(86)90837-8
- 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(3), 437–450. https://doi.org/10.1123/jpah.10.3.437
- Chinapaw, M. J. M., de Niet, M., Verloigne, M., De Bourdeaudhuij, I., Brug, J., & Altenburg, T. M. (2014). From sedentary time to sedentary patterns: Accelerometer data reduction decisions in youth. PloS One, 9(11), e111205. https://doi.org/10.1371/journal.pone.0111205
- Coleman, K. J., & Epstein, L. H. (1998). Application of generalizability theory to measurement of activity in males who are not regularly active: A preliminary report. Research Quarterly for Exercise and Sport, 69(1), 58–63. https://doi.org/10.1080/02701367.1998.10607667
- Esliger, D. W., Copeland, J. L., Barnes, J. D., & Tremblay, M. S. (2005). Standardizing and optimizing the use of accelerometer data for free-living physical activity monitoring. Journal of Physical Activity and Health, 2(3), 366–383. https://doi.org/10.1123/jpah.2.3.366
- Evenson, K. R., Catellier, D. J., Gill, K., Ondrak, K. S., & McMurray, R. G. (2008). Calibration of two objective measures of physical activity for children. Journal of Sports Sciences, 26(14), 1557–1565. https://doi.org/10.1080/02640410802334196
- Gracia-Marco, L., Ortega, F. B., Ruiz, J. R., Williams, C. A., HagstrÖmer, M., Manios, Y., Kafatos, A., Béghin, L., Polito, A., De Henauw, S., Valtueña, J., Widhalm, K., Molnar, D., Alexy, U., Moreno, L. A., Sjöström, M., & Helena Study, G. (2013). Seasonal variation in physical activity and sedentary time in different European regions. The HELENA study. Journal of Sports Sciences, 31(16), 1831–1840. https://doi.org/10.1080/02640414.2013.803595
- Hart, T. L., Swartz, A. M., Cashin, S. E., & Strath, S. J. (2011). How many days of monitoring predict physical activity and sedentary behaviour in older adults? The International Journal of Behavioral Nutrition and Physical Activity, 8(1), 62. https://doi.org/10.1186/1479-5868-8-62
- Hinkley, T., O’Connell, E., Okely, A. D., Crawford, D., Hesketh, K., & Salmon, J. (2012). Assessing volume of accelerometry data for reliability in preschool children. Medicine & Science in Sports & Exercise, 44(12), 2436–2441. https://doi.org/10.1249/MSS.0b013e3182661478
- Hislop, J., Law, J., Rush, R., Grainger, A., Bulley, C., Reilly, J. J., & Mercer, T. (2014). An investigation into the minimum accelerometry wear time for reliable estimates of habitual physical activity and definition of a standard measurement day in pre-school children. Physiological Measurement, 35(11), 2213–2228. https://doi.org/10.1088/0967-3334/35/11/2213
- Hutcheon, J. A., Chiolero, A., & Hanley, J. A. (2010). Random measurement error and regression dilution bias. BMJ, 340, c2289. https://doi.org/10.1136/bmj.c2289
- Janz, K. F., Witt, J., & Mahoney, L. T. (1995). The stability of childrens physical-activity as measured by accelerometry and self-report. Medicine & Science in Sports & Exercise, 27(9), 1326–1332. https://doi.org/10.1249/00005768-199509000-00014
- Jerome, G. J., Young, D. R., Laferriere, D., Chen, C. H., & Vollmer, W. M. (2009). Reliability of RT3 accelerometers among overweight and obese adults. Medicine & Science in Sports & Exercise, 41(1), 110–114. https://doi.org/10.1249/MSS.0b013e3181846cd8
- John, D., & Freedson, P. (2012). ActiGraph and Actical physical activity monitors: A peek under the hood. Medicine & Science in Sports & Exercise, 44(1 Suppl 1), S86–S9. https://doi.org/10.1249/MSS.0b013e3182399f5e
- Kang, M., Bassett, D. R., Barreira, T. V., Tudor-Locke, C., Ainsworth, B., Reis, J. P., Strath, S., & Swartz, A. (2009). How many days are enough? A study of 365 days of pedometer monitoring. Research Quarterly for Exercise and Sport, 80(3), 445–453. https://doi.org/10.1080/02701367.2009.10599582
- Levin, S., Jacobs, D. R., Ainsworth, B. E., Richardson, M. T., & Leon, A. S. (1999). Intra-individual variation and estimates of usual physical activity. Annals of Epidemiology, 9(8), 481–488. https://doi.org/10.1016/S1047-2797(99)00022-8
- Matthews, C. E., Ainsworth, B. E., Thompson, R. W., & Bassett, D. R. (2002). Sources of variance in daily physical activity levels as measured by an accelerometer. Medicine & Science in Sports & Exercise, 34(8), 1376–1381. https://doi.org/10.1097/00005768-200208000-00021
- Matthews, C. E., Hagstromer, M., Pober, D. M., & Bowles, H. R. (2012). Best practices for using physical activity monitors in population-based research. Medicine & Science in Sports & Exercise, 44(1S), S68–S76. https://doi.org/10.1249/MSS.0b013e3182399e5b
- Mattocks, C., Leary, S., Ness, A., Deere, K., Saunders, J., Kirkby, J., Blair, S. N., Tilling, K., & Riddoch, C. (2007). Intraindividual variation of objectively measured physical activity in children. Medicine & Science in Sports & Exercise, 39(4), 622–629. https://doi.org/10.1249/mss.0b013e318030631b
- McGraw, K. O., & Wong, S. P. (1996). Forming inferences about some intraclass correlation coefficients. Psychological Methods, 1(1), 30–46. https://doi.org/10.1037/1082-989x.1.4.390
- Murray, D. M., Catellier, D. J., Hannan, P. J., Treuth, M. S., Stevens, J., Schmitz, K. H., Rice, J. C., & Conway, T. L. (2004). School-level intraclass correlation for physical activity in adolescent girls. Medicine & Science in Sports & Exercise, 36(5), 876–882. https://doi.org/10.1249/01.mss.0000126806.72453.1c
- Nilsen, A. K. O., Anderssen, S. A., Ylvisåker, E., Johannessen, K., & Aadland, E. (2019). Physical activity among Norwegian preschoolers varies by sex, age, and season. Scandinavian Journal of Medicine & Science in Sports, 29(6), 862–873. https://doi.org/10.1111/sms.13405
- Ojiambo, R., Cuthill, R., Budd, H., Konstabel, K., Casajús, J. A., González-Agüero, A., Anjila, E., Reilly, J. J., Easton, C., & Pitsiladis, Y. P. (2011). Impact of methodological decisions on accelerometer outcome variables in young children. International Journal of Obesity, 35(S1), S98–S103. https://doi.org/10.1038/ijo.2011.40
- Penpraze, V., Reilly, J. J., MacLean, C. M., Montgomery, C., Kelly, L. A., Paton, J. Y., Aitchison, T., & Grant, S. (2006). Monitoring of physical activity in young children: How much is enough? Pediatric Exercise Science, 18(4), 483–491. https://doi.org/10.1123/pes.18.4.483
- Rich, C., Geraci, M., Griffiths, L., Sera, F., Dezateux, C., & Cortina-Borja, M. (2013). Quality control methods in accelerometer data processing: defining minimum wear time. PloS One, 8(6), e67206. https://doi.org/10.1371/journal.pone.0067206
- Ridgers, N. D., Salmon, J., & Timperio, A. (2015). Too hot to move? Objectively assessed seasonal changes in Australian children’s physical activity. The International Journal of Behavioral Nutrition and Physical Activity, 12(77). https://doi.org/10.1186/s12966-015-0245-x
- Thompson, P. D., Crouse, S. F., Goodpaster, B., Kelley, D., Moyna, N., & Pescatello, L. (2001). The acute versus the chronic response to exercise. Medicine and Science in Sports and Exercise, 33(6 Suppl), S438. https://doi.org/10.1097/00005768-200106001-00012
- Treuth, M. S., Sherwood, N. E., Butte, N. F., Mcclanahan, B., Obarzanek, E., Zhou, A., Ayers, C., Adolph, A., Jordan, J., Jacobs, D. R., & Rochon, J. (2003). Validity and reliability of activity measures in African-American girls for GEMS. Medicine & Science in Sports & Exercise, 35(3), 532–539. https://doi.org/10.1249/01.mss.0000053702.03884.3f
- 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(7), 1360–1368. https://doi.org/10.1249/MSS.0b013e318206476e
- Trost, S. G., McIver, K. L., & Pate, R. R. (2005). Conducting accelerometer-based activity assessments in field-based research. Medicine & Science in Sports & Exercise, 37(11), S531–S43. https://doi.org/10.1249/01.mss.0000185657.86065.98
- Trost, S. G., Pate, R. R., Freedson, P. S., Sallis, J. F., & Taylor, W. C. (2000). Using objective physical activity measures with youth: How many days of monitoring are needed? Medicine & Science in Sports & Exercise, 32(2), 426–431. https://doi.org/10.1097/00005768-200002000-00025
- Weir, J. P. (2005). Quantifying test-retest reliability using the intraclass correlation coefficient and the SEM. Journal of Strength and Conditioning Research, 19(1), 231–240. https://doi.org/10.1519/15184.1
- Wickel, E. E., & Welk, G. J. (2010). Applying generalizability theory to estimate habitual activity levels. Medicine & Science in Sports & Exercise, 42(8), 1528–1534. https://doi.org/10.1249/MSS.0b013e3181d107c4