
ISBN: 978-80-244-5597-6 | ISBN online: 978-80-244-5598-3 | DOI: 10.5507/ftk.19.24455976
Výzkum orientovaný na pohybovou aktivitu: metodologické ukotvení
- Roman Cuberek
The book characterises the main pillars of methodological paradigm of research focused on the area of human movement-related behaviour. Currently used methodological approaches are described in detail. Simultaneously, their limits are introduced, from which the key methodological challenges are critically derived. The aim of the author was to put partial aspects of methodological paradigm in a broader context and to allow the reader to obtain the comprehensive view of the problems associated with the investigation of human movement-related behaviour. The reader should understand more the essence of research in the field as a whole and thus improve his competence to interpret the conclusions of relevant studies.
1. edition, Published: 2019, online: 2019, publisher: Univerzita Palackého v Olomouci, Křížkovského 8, 771 47 Olomouc
References
- Acharya, U. R., Joseph, K. P., Kannathal, N., Lim, C. M., & Suri, J. S. (2006). Heart rate variability: A review. Medical and Biological Engineering and Computing, 44(12), 1031-1051. https://doi.org/10.1007/s11517-006-0119-0
Go to original source...
- ActiGraph. (2016). What are counts? Retrieved September 24, 2017, from https://actigraph.desk.com/customer/en/portal/articles/2515580-what-are-counts
- Adamo, K. B., Prince, S. A., Tricco, A. C., Connor-Gorber, S., & Tremblay, M. S. (2009). A comparison of indirect versus direct measures for assessing physical activity in the pediatric population: A systematic review. International Journal of Pediatric Obesity, 4(1), 2-27. https://doi.org/10.1080/17477160802315010
Go to original source...
- Adams, M. A., Caparosa, S., Thompson, S., & Norman, G. J. (2009). Translating physical activity recommendations for overweight adolescents to steps per day. American Journal of Preventive Medicine, 37(2), 137-140. https://doi.org/doi:10.1016/j.amepre.2009.03.016
Go to original source...
- Ainsworth, B. E., Cahalin, L., Buman, M., & Ross, R. (2015). The current state of physical activity assessment tools. Progress in Cardiovascular Diseases, 57(4), 387-395. https://doi.org/10.1016/j.pcad.2014.10.005
Go to original source...
- Ainsworth, B. E., Haskell, W. L., Herrmann, S. D., Meckes, N., Bassett, D. R., Tudor-Locke, C. E., … Leon, A. S. (2011). 2011 Compendium of physical activities: A second update of codes and MET values. Medicine and Science in Sports and Exercise, 43(8), 1575-1581. https://doi.org/10.1249/MSS.0b013e31821ece12
Go to original source...
- Aittasalo, M., Vähä-Ypyä, H., Vasankari, T., Husu, P., Jussila, A. M., & Sievänen, H. (2015). Mean amplitude deviation calculated from raw acceleration data: A novel method for classifying the intensity of adolescents' physical activity irrespective of accelerometer brand. BMC Sports Science, Medicine and Rehabilitation, 7(1), 18. https://doi.org/10.1186/s13102-015-0010-0
Go to original source...
- American College of Cardiology. (2017). Wrist-worn heart rate monitors less accurate than standard chest strap: Accuracy varies by device, activity type, exercise activity. ScienceDaily. Retrieved September 8, 2017, from http://www.sciencedaily.com/releases/2017/03/170308145327.htm
- Aughey, R. J. (2011). Applications of GPS technologies to field sports. International Journal of Sports Physiology and Performance, 6(3), 295-310. https://doi.org/10.1123/ijspp.6.3.295
Go to original source...
- Bai, J., Di, C., Xiao, L., Evenson, K. R., LaCroix, A. Z., Crainiceanu, C. M., & Buchner, D. M. (2016). An activity index for raw accelerometry data and its comparison with other activity metrics. PLOS ONE, 11(8), e0160644. https://doi.org/10.1371/journal.pone.0160644
Go to original source...
- Bai, J., He, B., Shou, H., Zipunnikov, V., Glass, T. A., & Crainiceanu, C. M. (2014). Normalization and extraction of interpretable metrics from raw accelerometry data. Biostatistics, 15(1), 102-116. https://doi.org/10.1093/biostatistics/kxt029
Go to original source...
- Bai, Y., Welk, G. J., Nam, Y. H., Lee, J. A., Lee, J. M., Kim, Y., … Dixon, P. M. (2016). Comparison of consumer and research monitors under semistructured settings. Medicine & Science in Sports & Exercise, 48(1), 151-158. https://doi.org/10.1249/MSS.0000000000000727
Go to original source...
- Bakrania, K., Yates, T., Rowlands, A. V, Esliger, D. W., Bunnewell, S., Sanders, J., … Edwardson, C. L. (2016). Intensity thresholds on raw acceleration data: Euclidean Norm Minus One (ENMO) and Mean Amplitude Deviation (MAD) approaches. PLOS ONE, 11(10), e0164045. https://doi.org/10.1371/journal.pone.0164045
Go to original source...
- Barreira, T. V, Brouillette, R. M., Foil, H. C., Keller, J. N., & Tudor-Locke, C. E. (2013). Comparison of older adults' steps per day using an NL-1000 pedometer and two GT3X+ accelerometer filters. Journal of Aging and Physical Activity, 21(4), 402-416. https://doi.org/10.1016/j.jsams.2012.11.713
Go to original source...
- Barreira, T. V, Tudor-Locke, C. E., Champagne, C. M., Broyles, S. T., Johnson, W. D., & Katzmarzyk, P. T. (2013). Comparison of GT3X accelerometer and YAMAX pedometer steps/day in a free-living sample of overweight and obese adults. Journal of Physical Activity and Health, 10(2), 263-270. https://doi.org/10.1123/jpah.10.2.263
Go to original source...
- Beckers, F., Ramaekers, D., & Aubert, A. E. (2002). Gender-related differences in nonlinear indices of heart rate variability. Ingenieria Electronica, Automatica y Comunicaciones, 23(1), 45-49.
- Bonomi, A. G., Goris, A. H. C., Yin, B., & Westerterp, K. R. (2009). Detection of type, duration, and intensity of physical activity using an accelerometer. Medicine & Science in Sports & Exercise, 41(9), 1770-1777. https://doi.org/10.1249/MSS.0b013e3181a24536
Go to original source...
- Bouchard, C., & Shephard, R. J. (1994). Physical activity, fitness and health: The model and key concepts. In C. Bouchard, R. J. Shephard, & T. Stephens (Eds.), Physical Activity, Fitness and Health: International Proceeding and Consensus Statement (pp. 77-88). Champaign, IL: Human Kinetics.
- Brage, S., Brage, N., Franks, P. W., Ekelund, U., Wong, M. Y., Andersen, L. B., … Wareham, N. J. (2004). Branched equation modeling of simultaneous accelerometry and heart rate monitoring improves estimate of directly measured physical activity energy expenditure. Journal of Applied Physiology, 96(1), 343-351. https://doi.org/10.1152/japplphysiol.00703.2003
Go to original source...
- Brønd, J. C., & Arvidsson, D. (2016). Sampling frequency affects the processing of Actigraph raw acceleration data to activity counts. Journal of Applied Physiology, 120(3), 362-369. https://doi.org/10.1152/japplphysiol.00628.2015
Go to original source...
- Buchowski, M. S. (2014). Doubly labeled water is a validated and verified reference standard in nutrition research. The Journal of Nutrition, 144(5), 573-574. https://doi.org/10.3945/jn.114.191361
Go to original source...
- Bussmann, J. B. J., & van den Berg-Emons, R. J. G. (2013). To total amount of activity….. and beyond: Perspectives on measuring physical behavior. Frontiers in Psychology, 4(6), 1-6. https://doi.org/10.3389/fpsyg.2013.00463
Go to original source...
- Butte, N. F., Ekelund, U., & Westerterp, K. R. (2012). Assessing physical activity using wearable monitors: Measures of physical activity. Medicine & Science in Sports & Exercise, 44(Suppl 1), S5-S12. https://doi.org/10.1249/MSS.0b013e3182399c0e
Go to original source...
- Butte, N. F., Watson, K. B., Ridley, K., Zakeri, I. F., McMurray, R. G., Pfeiffer, K. A., … Fulton, J. E. (2017). A youth compendium of physical activities: Activity codes and metabolic intensities. Medicine & Science in Sports & Exercise, 1. https://doi.org/10.1249/MSS.0000000000001430
Go to original source...
- 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
Go to original source...
- Carson, V., Tremblay, M. S., Chaput, J. P., & Chastin, S. F. M. (2016). Associations between sleep duration, sedentary time, physical activity, and health indicators among Canadian children and youth using compositional analyses. Applied Physiology, Nutrition, and Metabolism, 41(6 Suppl. 3), S294-S302. https://doi.org/10.1139/apnm-2016-0026
Go to original source...
- Caspersen, C. J., Powell, K. E., & Christenson, G. M. (1985). Physical activity, exercise, and physical fitness: Definitions and distinctions for health-related research. Public Health Reports, 100(2), 126-131.
- Chastin, S. F. M., Dall, P. M., Tigbe, W. W., Grant, M. P., Ryan, C. G., Rafferty, D., & Granat, M. H. (2009). Compliance with physical activity guidelines in a group of UK-based postal workers using an objective monitoring technique. European Journal of Applied Physiology, 106(6), 893-899. https://doi.org/10.1007/s00421-009-1090-x
Go to original source...
- Chastin, S. F. M., Palarea-Albaladejo, J., Dontje, M. L., & Skelton, D. A. (2015). Combined effects of time spent in physical activity, sedentary behaviors and sleep on obesity and cardio-metabolic health markers: A novel compositional data analysis approach. PLOS ONE, 10(10), e0139984. https://doi.org/10.1371/journal.pone.0139984
Go to original source...
- Chen, K. Y., & Bassett, D. R. (2005). The technology of accelerometry-based activity monitors: Current and future. Medicine & Science in Sports & Exercise, 37(11), S490-S500. https://doi.org/10.1249/01.mss.0000185571.49104.82
Go to original source...
- Clemes, S. A., & Parker, R. A. A. (2009). Increasing our understanding of reactivity to pedometers in adults. Medicine & Science in Sports & Exercise, 41(3), 674-680. https://doi.org/10.1249/MSS.0b013e31818cae32
Go to original source...
- Commissaris, D. A., Huysmans, M. A., Mathiassen, S. E., Srinivasan, D., Koppes, L. L., & Hendriksen, I. J. (2016). Interventions to reduce sedentary behavior and increase physical activity during productive work: A systematic review. Scandinavian Journal of Work, Environment & Health, 42(3), 181-191. https://doi.org/10.5271/sjweh.3544
Go to original source...
- Corder, K., van Sluijs, E. M. F., Wright, A., Whincup, P., Wareham, N. J., & Ekelund, U. (2009). Is it possible to assess free-living physical activity and energy expenditure in young people by self-report? The American Journal of Clinical Nutrition, 89(3), 862-870. https://doi.org/10.3945/ajcn.2008.26739
Go to original source...
- Coutts, A. J., & Duffield, R. (2010). Validity and reliability of GPS devices for measuring movement demands of team sports. Journal of Science and Medicine in Sport, 13(1), 133-135. https://doi.org/10.1016/j.jsams.2008.09.015
Go to original source...
- Craig, C. L., Cameron, C., & Tudor-Locke, C. E. (2013). Relationship between parent and child pedometer-determined physical activity: A sub-study of the CANPLAY surveillance study. International Journal of Behavioral Nutrition and Physical Activity, 10(1), 8. https://doi.org/10.1186/1479-5868-10-8
Go to original source...
- Crouter, S. E., Clowers, K. G., & Bassett, D. R. (2006). A novel method for using accelerometer data to predict energy expenditure. Journal of Applied Physiology, 100(4), 1324-1331. https://doi.org/10.1152/japplphysiol.00818.2005
Go to original source...
- Crouter, S. E., Schneider, P. L., Karabulut, M., & Bassett, D. R. (2003). Validity of 10 electronic pedometers for measuring steps, distance, and energy cost. Medicine & Science in Sports & Exercise, 35(8), 1455-1460. https://doi.org/10.1249/01.MSS.0000078932.61440.A2
Go to original source...
- Cuberek, R., El Ansari, W., Frömel, K., Skalik, K., Sigmund, E., El Ansari, W., … Sigmund, E. (2010). A comparison of two motion sensors for the assessment of free-living physical activity of adolescents. International Journal of Environmental Research and Public Health, 7(4), 1558-1576. https://doi.org/10.3390/ijerph7041558
Go to original source...
- Cuberek, R., Frömel, K., Groffik, D., & Jakubec, L. (2017). Differences between an accelerometer and a heart rate monitor in monitoring non-training-related load in adolescents: An opportunity to distinguish between the physical and mental load. Journal of Physical Education and Sport, 17(175), 1139-1146. https://doi.org/10.7752/jpes.2017.03175
Go to original source...
- Cuberek, R., Gába, A., Frömel, K., Svoboda, Z., Chmelík, F., Lehnert, M., … Pelclová, J. (2014). Walking into work in a prevention of the risk of falling in older sedentary female employees: Study rationale and design. In 5th International Congress on Physical Activity and Public Health (p. 362). Rio de Janeiro, Brazil.
- Cuberek, R., Gába, A., Svoboda, Z., Pelclová, J., Chmelík, F., Lehnert, M., … Frömel, K. (2014). Walking in the lifestyle of elderly women with a sedentary occupation. Olomouc: Univerzita Palackého v Olomouci. https://doi.org/10.5507/ftk.14.24443775
Go to original source...
- Cuberek, R., Skalik, K., & Frömel, K. (2009). Komparace individuální kategorizace úrovně pohybové aktivity monitorované akcelerometrem a krokoměrem. Česká Kinantropologie, 13(4), 9-15.
- De Bruin, E. D., Hartmann, A., Uebelhart, D., Murer, K., & Zijlstra, W. (2008). Wearable systems for monitoring mobility-related activities in older people: A systematic review. Clinical Rehabilitation, 22(10-11), 878-895. https://doi.org/10.1177/0269215508090675
Go to original source...
- De Craemer, M., De Decker, E., Santos-Lozano, A., Verloigne, M., De Bourdeaudhuij, I., Deforche, B., & Cardon, G. (2015). Validity of the Omron pedometer and the actigraph step count function in preschoolers. Journal of Science and Medicine in Sport, 18(3), 289-293. https://doi.org/10.1016/j.jsams.2014.06.001
Go to original source...
- del Pozo-Cruz, B., Gant, N., del Pozo-Cruz, J., & Maddison, R. (2017). Relationships between sleep duration, physical activity and body mass index in young New Zealanders: An isotemporal substitution analysis. PLOS ONE, 12(9), e0184472. https://doi.org/10.1371/journal.pone.0184472
Go to original source...
- Duffield, R., Reid, M., Baker, J., & Spratford, W. A. (2010). Accuracy and reliability of GPS devices for measurement of movement patterns in confined spaces for court-based sports. Journal of Science and Medicine in Sport, 13(5), 523-525. https://doi.org/10.1016/j.jsams.2009.07.003
Go to original source...
- Dugas, L. R., Noakes, T. D., Lambert, E. V, Van Der Merwe, L., & Odendaal, H. (2005). A novel energy expenditure prediction equation for intermittent physical activity. Medicine & Science in Sports & Exercise, 37(12), 2154-2161. https://doi.org/10.1249/01.mss.0000177742.12931.50
Go to original source...
- Dumuid, D., Stanford, T. E., Martin-Fernández, J. A., Pedišić, Ž., Maher, C. A., Lewis, L. K., … Olds, T. (2017). Compositional data analysis for physical activity, sedentary time and sleep research. Statistical Methods in Medical Research, 27(12), 3726-3738. https://doi.org/10.1177/0962280217710835
Go to original source...
- Duncan, S., White, K., Sa'ulilo, L., & Schofield, G. (2011). Convergent validity of a piezoelectric pedometer and an omnidirectional accelerometer for measuring children's physical activity. Pediatric Exercise Science, 23(3), 399-410. https://doi.org/10.1123/pes.23.3.399
Go to original source...
- Ellery, C. V. L., Weiler, H. A., & Hazell, T. J. (2014). Physical activity assessment tools for use in overweight and obese children. International Journal of Obesity, 38(1), 1-10. https://doi.org/10.1038/ijo.2013.125
Go to original source...
- Evenson, K. R., Goto, M. M., & Furberg, R. D. (2015). Systematic review of the validity and reliability of consumer-wearable activity trackers. International Journal of Behavioral Nutrition and Physical Activity, 12(1), 159. https://doi.org/10.1186/s12966-015-0314-1
Go to original source...
- Food and Agriculture Organization of the United Nations, World Health Organization, & United Nations University. (2001). Human energy requirements: Report of a Joint FAO/WHO/UNU Expert Consultation. Rome.
- Freedson, P. S., & Miller, K. (2000). Objective monitoring of physical activity using motion sensors and heart rate. Research Quarterly for Exercise and Sport, 71(2), S21-S29. https://doi.org/10.1080/02701367.2000.11082782
Go to original source...
- Gába, A., Cuberek, R., Svoboda, Z., Chmelík, F., Pelclová, J., Lehnert, M., & Frömel, K. (2016). The effect of brisk walking on postural stability, bone mineral density, body weight and composition in women over 50 years with a sedentary occupation: A randomized controlled trial. BMC Women's Health, 16(1), 63. https://doi.org/10.1186/s12905-016-0343-1
Go to original source...
- Gába, A., Dygrýn, J., Mitáš, J., Jakubec, L., & Frömel, K. (2016). Effect of accelerometer cut-off points on the recommended level of physical activity for obesity prevention in children. PLOS ONE, 11(10), e0164282. https://doi.org/10.1371/journal.pone.0164282
Go to original source...
- Gabriel, K. K. P., Morrow, J. R., & Woolsey, A. T. (2012). Framework for physical activity as a complex and multidimensional behavior. Journal of Physical Activity and Health, 9(Suppl 1), S11-S18. https://doi.org/10.1123/jpah.9.s1.s11
Go to original source...
- Garatachea, N., Torres Luque, G., & González Gallego, J. (2010). Physical activity and energy expenditure measurements using accelerometers in older adults. Nutricion Hospitalaria, 25(2), 224-230. https://doi.org/10.3305/nh.2010.25.2.4439
Go to original source...
- Haugen, H. A., Chan, L. N., & Li, F. (2007). Indirect calorimetry: A practical guide for clinicians. Nutrition in Clinical Practice, 22(4), 377-388. https://doi.org/10.1177/0115426507022004377
Go to original source...
- Helmerhorst, H. J. F., Brage, S., Warren, J., Besson, H., & Ekelund, U. (2012). A systematic review of reliability and objective criterion-related validity of physical activity questionnaires. International Journal of Behavioral Nutrition and Physical Activity, 9(1), 103. https://doi.org/10.1186/1479-5868-9-103
Go to original source...
- Hills, A. P., Mokhtar, N., & Byrne, N. M. (2014). Assessment of physical activity and energy expenditure: An overview of objective measures. Frontiers in Nutrition, 1(5), 1-5. https://doi.org/10.3389/fnut.2014.00005
Go to original source...
- Ho, V., Simmons, R. K., Ridgway, C. L., van Sluijs, E. M. F., Bamber, D. J., Goodyer, I. M., … Corder, K. (2013). Is wearing a pedometer associated with higher physical activity among adolescents? Preventive Medicine, 56(5), 273-277. https://doi.org/10.1016/j.ypmed.2013.01.015
Go to original source...
- Howe, C. C. F., Moir, H. J., & Easton, C. (2017). Classification of physical activity cut-points and the estimation of energy expenditure during walking using the GT3X+ accelerometer in overweight and obese adults. Measurement in Physical Education and Exercise Science, 21(3), 127-133. https://doi.org/10.1080/1091367X.2016.1271801
Go to original source...
- Hůlka, K., Cuberek, R., & Svoboda, Z. (2014). Time-motion analysis of basketball players: A reliability assessment of Video Manual Motion Tracker 1.0 software. Journal of Sports Sciences, 32(1), 53-59. https://doi.org/10.1080/02640414.2013.805237
Go to original source...
- James, D. V. B., Munson, S. C., Maldonado-Martin, S., & De Ste Croix, M. B. A. (2012). Heart rate variability: Effect of exercise intensity on postexercise response. Research Quarterly for Exercise and Sport, 83(4), 533-539. https://doi.org/10.5641/027013612804582560
Go to original source...
- Jeran, S., Steinbrecher, A., & Pischon, T. (2016). Prediction of activity related energy expenditure using accelerometer derived physical activity under free-living conditions: A systematic review. International Journal of Obesity, 4(8), 1187-1197. https://doi.org/10.1038/ijo.2016.14
Go to original source...
- Johnson, M. (2015). Activity monitors step count accuracy in community-dwelling older adults. Gerontology and Geriatric Medicine, 1, 233372141560130. https://doi.org/10.1177/2333721415601303
Go to original source...
- Kang, M., Bassett, D. R., Barreira, T. V, Tudor-Locke, C. E., Ainsworth, B. E., Reis, J. P., … 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
Go to original source...
- Kelly, P., Krenn, P., Titze, S., Stopher, P., & Foster, C. E. (2013). Quantifying the difference between self-reported and global positioning systems-measured journey durations: A systematic review. Transport Reviews, 33(4), 443-459. https://doi.org/10.1080/01441647.2013.815288
Go to original source...
- Kerr, J., Marinac, C. R., Ellis, K., Godbole, S., Hipp, A., Glanz, K., … Berrigan, D. (2017). Comparison of accelerometry methods for estimating physical activity. Medicine and Science in Sports and Exercise, 49(3), 617-624. https://doi.org/10.1249/MSS.0000000000001124
Go to original source...
- Kim, M. J. (2015). Isotemporal substitution analysis of accelerometer-derived sedentary behavior, physical activity time, and physical function in older women: A preliminary study. Exercise Science, 24(4), 373-381. https://doi.org/10.15857/ksep.2015.24.4.373
Go to original source...
- Kim, Y., Crouter, S. E., Lee, J. M., Dixon, P. M., Gesser, G. A., & Welk, G. J. (2016). Comparison of prediction equations for estimating energy expenditure in youth. Journal of Science and Medicine in Sport, 19(1), 35-40. https://doi.org/10.1016/j.jsams.2014.10.002
Go to original source...
- Kozey, S. L., Lyden, K., Howe, C. A., Staudenmayer, J. W., & Freedson, P. S. (2010). Accelerometer output and MET values of common physical activities. Medicine & Science in Sports & Exercise, 42(9), 1776-1784. https://doi.org/10.1249/MSS.0b013e3181d479f2
Go to original source...
- Krenn, P. J., Titze, S., Oja, P., Jones, D. A., & Ogilvie, D. (2011). Use of global positioning systems to study physical activity and the environment: A systematic review. American Journal of Preventive Medicine, 41(5), 508-515. https://doi.org/10.1016/j.amepre.2011.06.046
Go to original source...
- Kuhn, T. S. (2008). Struktura vědeckých revolucí. Praha: OIKOYMENH.
- Lamonte, M. J., & Ainsworth, B. E. (2001). Quantifying energy expenditure and physical activity in the context of dose response. Medicine & Science in Sports & Exercise, 33(Supplement), S370-S378. https://doi.org/10.1097/00005768-200106001-00006
Go to original source...
- Law, J. (1976). The development of specialties in science: The case of X-ray protein crystallography. In G. Lemaine, R. Macleod, M. Mulkay, & P. Weingart (Eds.), The structure of scientific revolutions (pp. 123-152). Chicago: University of Chicago Press.
Go to original source...
- Lee, J. M., Kim, Y., & Welk, G. J. (2014). Validity of consumer-based physical activity monitors. Medicine & Science in Sports & Exercise, 46(9), 1840-1848. https://doi.org/10.1249/MSS.0000000000000287
Go to original source...
- Leech, R. M., McNaughton, S. A., & Timperio, A. (2014). The clustering of diet, physical activity and sedentary behavior in children and adolescents: A review. International Journal of Behavioral Nutrition and Physical Activity, 11(1), 4. https://doi.org/10.1186/1479-5868-11-4
Go to original source...
- Lubans, D. R., Morgan, P. J., & Tudor-Locke, C. E. (2009). A systematic review of studies using pedometers to promote physical activity among youth. Preventive Medicine, 48(4), 307-315. https://doi.org/10.1016/j.ypmed.2009.02.014
Go to original source...
- Lyden, K., Kozey, S. L., Staudenmeyer, J. W., & Freedson, P. S. (2011). A comprehensive evaluation of commonly used accelerometer energy expenditure and MET prediction equations. European Journal of Applied Physiology, 111(2), 187-201. https://doi.org/10.1007/s00421-010-1639-8
Go to original source...
- Marshall, S. J., Levy, S. S., Tudor-Locke, C. E., Kolkhorst, F. W., Wooten, K. M., Ji, M., … Ainsworth, B. E. (2009). Translating physical activity recommendations into a pedometer-based step goal: 3000 steps in 30 minutes. American Journal of Preventive Medicine, 36(5), 410-415. https://doi.org/10.1016/j.amepre.2009.01.021
Go to original source...
- Martin, J. B., Krč, K. M., Mitchell, E. A., Eng, J. J., & Noble, J. W. (2012). Pedometer accuracy in slow-walking older adults. International Journal of Therapy and Rehabilitation, 19(7), 387-393. https://doi.org/10.12968/ijtr.2012.19.7.387
Go to original source...
- McClain, J. J., Sisson, S. B., & Tudor-Locke, C. E. (2007). Actigraph accelerometer interinstrument reliability during free-living in adults. Medicine and Science in Sports and Exercise, 39(9), 1509-1514. https://doi.org/10.1249/mss.0b013e3180dc9954
Go to original source...
- McKenzie, T. L., Sallis, J. F., Nader, P. R., Patterson, T. L., Elder, J. P., Berry, C. C., … Nelson, J. A. (1991). BEACHES: An observational system for assessing children's eating and physical activity behaviors and associated events. Journal of Applied Behavior Analysis, 24(1), 141-151. https://doi.org/10.1901/jaba.1991.24-141
Go to original source...
- Mekary, R. A., Willett, W. C., Hu, F. B., & Ding, E. L. (2009). Isotemporal substitution paradigm for physical activity epidemiology and weight change. American Journal of Epidemiology, 170(4), 519-527. https://doi.org/10.1093/aje/kwp163
Go to original source...
- Migueles, J. H., Cadenas-Sanchez, C., Ekelund, U., Delisle Nyström, C., Gonzalez, J., Löf, M., … Ortega, F. B. (2017). Accelerometer data collection and processing criteria to assess physical activity and other outcomes: A systematic review and practical considerations. Sports Medicine, 47(9), 1821-1845. https://doi.org/10.1007/s40279-017-0716-0
Go to original source...
- Montoye, A. H. K., Begum, M., Henning, Z., & Pfeiffer, K. A. (2017). Comparison of linear and non-linear models for predicting energy expenditure from row accelerometer data. Physiological Measurement, 38(2), 343-357. https://doi.org/10.1088/1361-6579/38/2/343
Go to original source...
- Moore, A. D., Lee, S. M. C., Greenisen, M. C., & Bishop, P. (1997). Validity of a heart rate monitor during work in the laboratory and on the space shuttle. American Industrial Hygiene Association Journal, 58(4), 299-301. https://doi.org/10.1080/15428119791012829
Go to original source...
- Morris, J. N., Heady, J. A., Raffle, P. A. B., Roberts, C. G., & Parks, J. W. (1953). Coronaly heart-disease and physical activity of work. Lancet, 262(6795), 1053-1057. https://doi.org/10.1016/S0140-6736(53)91495-0
Go to original source...
- National Institute of Health. (1995). NIH consensus statement: Physical activity and cardiovascular health.
- Nielson, R., Vehrs, P. R., Fellingham, G. W., Hager, R., & Prusak, K. A. (2011). Step counts and energy expenditure as estimated by pedometry during treadmill walking at different stride frequencies. Journal of Physical Activity and Health, 8(7), 1004-1013. https://doi.org/10.1123/jpah.8.7.1004
Go to original source...
- Ottevaere, C., Huybrechts, I., Benser, J., De Bourdeaudhuij, I., Cuenca-Garcia, M., Dallongeville, J., … De Henauw, S. (2011). Clustering patterns of physical activity, sedentary and dietary behavior among European adolescents: The HELENA study. BMC Public Health, 11(1), 328. https://doi.org/10.1186/1471-2458-11-328
Go to original source...
- Pate, R. R., Almeida, M. J., McIver, K. L., Pfeiffer, K. A., & Dowda, M. (2006). Validation and calibration of an accelerometer in preschool children. Obesity, 14(11), 2000-2006. https://doi.org/10.1038/oby.2006.234
Go to original source...
- Pate, R. R., O'Neill, J. R., & Mitchell, J. (2010). Measurement of physical activity in preschool children. Medicine & Science in Sports & Exercise, 42(3), 508-512. https://doi.org/10.1249/MSS.0b013e3181cea116
Go to original source...
- Pearson, N., Braithwaite, R. E., Biddle, S. J. H., van Sluijs, E. M. F., & Atkin, A. J. (2014). Associations between sedentary behaviour and physical activity in children and adolescents: A meta-analysis. Obesity Reviews, 15(8), 666-675. https://doi.org/10.1111/obr.12188
Go to original source...
- Pedišić, Ž., Dumuid, D., & Olds, T. S. (2017). Integrating sleep, sedentary behaviour, and physical activity research in the emerging field of time-use epidemiology: Definitions, concepts, statistical methods, theoretical framework, and future directions. Kinesiology, 49(2), 135-145.
Go to original source...
- Perri 6, & Bellamy, C. (2012). Principles of methodology: Reserch design in social science. London, UK: SAGE Publications Ltd.
- Philippaerts, R., Westerterp, K. R., & Lefevre, J. (1999). Doubly labeled water validation of three physical activity questionnaires. International Journal of Sports Medicine, 20(5), 284-289. https://doi.org/10.1055/s-2007-971132
Go to original source...
- Plasqui, G. (2017). Smart approaches for assessing free-living energy expenditure following identification of types of physical activity. Obesity Reviews, 18(S1), 50-55. https://doi.org/10.1111/obr.12506
Go to original source...
- Popper, K. R. (2011). Otevřená společnost a její nepřátelé I. Praha: OIKOYMENH.
- Puhl, J., Greave, K., Hoyt, M., & Baranowski, T. (1990). Children's Activity Rating Scale (CARS): Description and calibration. Research Quarterly for Exercise and Sport, 61(1), 26-36. https://doi.org/10.1080/02701367.1990.10607475
Go to original source...
- Ramírez-Marrero, F. A., Smith, B. A., Sherman, W. M., & Kirby, T. E. (2005). Comparison of methods to estimate physical activity and energy expenditure in African American children. International Journal of Sports Medicine, 26(5), 363-371. https://doi.org/10.1055/s-2004-821011
Go to original source...
- Renson, R. (1989). From physical education to Kinanthropology: A quest for academic and professional identity. Quest, 41(3), 235-256. https://doi.org/10.1080/00336297.1989.10483973
Go to original source...
- Riebe, D., Frankcklin, B. A., Thompson, P. D., Garber, C. E., Whitfield, G. P., Magal, M., & Pescatello, L. S. (2015). Updating ACSM's recommendations for exercise preparticipation health screening. Medicine & Science in Sports & Exercise, 47(11), 2473-2479. https://doi.org/10.1249/MSS.0000000000000664
Go to original source...
- Romero-Ugalde, H. M., Garnotel, M., Doron, M., Jallon, P., Charpentier, G., Franc, S., … Bonnet, S. (2017). An original piecewise model for computing energy expenditure from accelerometer and heart rate signals. Physiological Measurement, 38(8), 1599-1615. https://doi.org/10.1088/1361-6579/aa7cdf
Go to original source...
- Ross, W. D., Hebbelinck, M., Van Gheluwe, B., & Lemmens, M. L. (1972). Kinanthropométrie et l'appréciation de l'erreur de mesure. Kinanthropologie, 4, 23-24.
- Routen, A. C., Upton, D., Edwards, M. G., & Peters, D. M. (2012). Discrepancies in accelerometer-measured physical activity in children due to cut-point non-equivalence and placement site. Journal of Sports Sciences, 30(12), 1303-1310. https://doi.org/10.1080/02640414.2012.709266
Go to original source...
- Rowe, D. A., Kemble, C. D., Robinson, T. S., & Mahar, M. T. (2007). Daily walking in older adults: Day-to-day variability and criterion-referenced validity of total daily step counts. Journal of Physical Activity and Health, 4(4), 434-446.
Go to original source...
- Rowlands, A. V, & Eston, R. G. (2005). Comparison of accelerometer and pedometer measures of physical activity in boys and girls, ages 8-10 years. Research Quarterly for Exercise and Sport, 76(3), 251-257.
Go to original source...
- Rowlands, A. V, Mirkes, E. M., Yates, T., Clemes, S. A., Davies, M., Khunti, K., & Edwardson, C. L. (2017). Accelerometer-assessed physical activity in epidemiology: Are monitors equivalent? Medicine & Science in Sports & Exercise. https://doi.org/10.1249/MSS.0000000000001435
Go to original source...
- Sasaki, J. E., Hickey, A. M., Staudenmayer, J. W., John, D., Kent, J. A., & Freedson, P. S. (2016). Performance of activity classification algorithms in free-living older adults. Medicine & Science in Sports & Exercise, 48(5), 941-950. https://doi.org/10.1249/MSS.0000000000000844
Go to original source...
- Schneider, P. L., Crouter, S. E., & Bassett, D. R. (2004). Pedometer measures of free-living physical activity: Comparison of 13 models. Medicine & Science in Sports & Exercise, 36(2), 331-335. https://doi.org/10.1249/01.MSS.0000113486.60548.E9
Go to original source...
- Schneider, P. L., Crouter, S. E., Lukajic, O., & Bassett, D. R. (2003). Accuracy and reliability of 10 pedometers for measuring steps over a 400-m walk. Medicine & Science in Sports & Exercise, 35(10), 1779-1784. https://doi.org/10.1249/01.MSS.0000089342.96098.C4
Go to original source...
- Schuit, A. J., van Loon, A. J. M., Tijhuis, M., & Ocké, M. C. (2002). Clustering of lifestyle risk factors in a general adult population. Preventive Medicine, 35(3), 219-224. https://doi.org/10.1006/pmed.2002.1064
Go to original source...
- Schuna Jr., J. M., & Tudor-Locke, C. E. (2012). Step by step: Accumulated knowledge and future directions of step-defined ambulatory activity. Research Exercise of Epidemiology, 14(2), 107-116.
- Shephard, R. J. (2003). Limits to the measurement of habitual physical activity by questionnaires. British Journal of Sports Medicine, 37(3), 197-206. https://doi.org/10.1136/bjsm.37.3.197
Go to original source...
- Shephard, R. J., & Tudor-Locke, C. (Eds.). (2016). The objective monitoring of physical activity: Contributions of accelerometry to epidemiology, exercise ccience and rehabilitation. Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-29577-0
Go to original source...
- Sievänen, H., & Kujala, U. M. (2017). Accelerometry: Simple, but challenging. Scandinavian Journal of Medicine & Science in Sports, 27(6), 574-578. https://doi.org/10.1111/sms.12887
Go to original source...
- Silva, K. S., Garcia, L. M. T., Rabacow, F. M., de Rezende, L. F. M., & de Sá, T. H. (2017). Physical activity as part of daily living: Moving beyond quantitative recommendations. Preventive Medicine, 96, 160-162. https://doi.org/10.1016/j.ypmed.2016.11.004
Go to original source...
- Sparling, P. B., Howard, B. J., Dunstan, D. W., & Owen, N. (2015). Recommendations for physical activity in older adults. BMJ, 350(6), h100. https://doi.org/10.1136/bmj.h100
Go to original source...
- Staudenmayer, J. W., Pober, D., Crouter, S. E., Bassett, D. R., & Freedson, P. S. (2009). An artificial neural network to estimate physical activity energy expenditure and identify physical activity type from an accelerometer. Journal of Applied Physiology, 107(4), 1300-1307. https://doi.org/10.1152/japplphysiol.00465.2009
Go to original source...
- Stewart, A. (2007). Kinanthropometry - the interdisciplinary discipline. Journal of Sports Sciences, 25(4), 373. https://doi.org/10.1080/02640410701249107
Go to original source...
- Strycker, L. A., Duncan, S. C., Chaumeton, N. R., Duncan, T. E., & Toobert, D. J. (2007). Reliability of pedometer data in samples of youth and older women. International Journal of Behavioral Nutrition and Physical Activity, 4(4), 1-8. https://doi.org/10.1186/1479-5868-4-4
Go to original source...
- Sylvia, L. G., Bernstein, E. E., Hubbard, J. L., Keating, L., & Anderson, E. J. (2014). Practical guide to measuring physical activity. Journal of the Academy of Nutrition and Dietetics, 114(2), 199-208. https://doi.org/10.1016/j.jand.2013.09.018
Go to original source...
- Terbizan, D. J., Dolezal, B. A., & Albano, C. (2002). Validity of seven commercially available heart rate monitors. Measurement in Physical Education and Exercise Science, 6(4), 243-247. https://doi.org/10.1207/S15327841MPEE0604_3
Go to original source...
- Terrier, P., & Schutz, Y. (2005). How useful is satellite positioning system (GPS) to track gait parameters? A review. Journal of NeuroEngineering and Rehabilitation, 2(28), 1-11. https://doi.org/10.1186/1743-0003-2-28
Go to original source...
- Thompson, D., Peacock, O., Western, M., & Batterham, A. M. (2015). Multidimensional physical activity: An opportunity, not a problem. Exercise and Sport Sciences Reviews, 43(2), 67-74. https://doi.org/10.1249/JES.0000000000000039
Go to original source...
- Tremblay, M. S., Aubert, S., Barnes, J. D., Saunders, T. J., Carson, V., Latimer-Cheung, A. E., … Chinapaw, M. J. M. (2017). Sedentary Behavior Research Network (SBRN) - Terminology consensus project process and outcome. International Journal of Behavioral Nutrition and Physical Activity, 14(1), 75. https://doi.org/10.1186/s12966-017-0525-8
Go to original source...
- Tremblay, M. S., Carson, V., Chaput, J. P., Connor Gorber, S., Dinh, T., Duggan, M., … Zehr, L. (2016). Canadian 24-Hour Movement Guidelines for Children and Youth: An Integration of physical activity, sedentary behaviour, and sleep. Applied Physiology, Nutrition, and Metabolism, 41(6 (Suppl. 3)), S311-S327. https://doi.org/10.1139/apnm-2016-0151
Go to original source...
- Troiano, R. P., McClain, J. J., Brychta, R. J., & Chen, K. Y. (2014). Evolution of accelerometer methods for physical activity research. British Journal of Sports Medicine, 48(13), 1019-1023. https://doi.org/10.1136/bjsports-2014-093546
Go to original source...
- Trost, S. G. (2001). Objective measurement of physical activity in youth: Current issues, future directions. Exercise and Sport Sciences Reviews, 29(1), 32-36. https://doi.org/10.1097/00003677-200101000-00007
Go to original source...
- 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
Go to original source...
- Tudor-Locke, C. E., & Bassett, D. R. (2004). How many steps/day are enough? Sports Medicine, 34(1), 1-8. https://doi.org/10.2165/00007256-200434010-00001
Go to original source...
- Tudor-Locke, C. E., Burkett, L., Reis, J. P., Ainsworth, B. E., Macera, C. A., & Wilson, D. K. (2005). How many days of pedometer monitoring predict weekly physical activity in adults? Preventive Medicine, 40(3), 293-298. https://doi.org/10.1016/j.ypmed.2004.06.003
Go to original source...
- Tudor-Locke, C. E., Craig, C. L., Aoyagi, Y., Bell, R. C., Croteau, K. A., De Bourdeaudhuij, I., … Lutes, L. D. (2011). How many steps/day are enough? For older adults and special populations. International Journal of Behavioral Nutrition and Physical Activity, 8(1), 79. https://doi.org/10.1186/1479-5868-8-80
Go to original source...
- Tudor-Locke, C. E., Hatano, Y., Pangrazi, R. P., & Kang, M. (2008). Revisiting "how many steps are enough?" Medicine & Science in Sports & Exercise, 40(7 Suppl), S537-43. https://doi.org/10.1249/MSS.0b013e31817c7133
Go to original source...
- Tudor-Locke, C. E., McClain, J., Hart, T., Sisson, S., & Washington, T. L. (2009). Pedometry methods for assessing free-living youth. Research Quarterly for Exercise and Sport, 80(2), 175-184. https://doi.org/10.1080/02701367.2009.10599551
Go to original source...
- Tudor-Locke, C. E., & Myers, A. M. (2001). Methodological considerations for researchers and practitioners using pedometers to measure physical (ambulatory) activity. Research Quarterly for Exercise and Sport, 72(1), 1-12. https://doi.org/10.1080/02701367.2001.10608926
Go to original source...
- Tudor-Locke, C. E., & Rowe, D. A. (2012). Using cadence to study free-living ambulatory behaviour. Sports Medicine, 42(5), 381-398. https://doi.org/10.2165/11599170-000000000-00000
Go to original source...
- Tudor-Locke, C. E., Sisson, S. B., Collova, T., Lee, S. M., & Swan, P. D. (2005). Pedometer-determined step count guidelines for classifying walking intensity in a young ostensibly healthy population. Canadian Journal of Applied Physiology, 30(6), 666-676. https://doi.org/10.1139/h05-147
Go to original source...
- Tudor-Locke, C. E., Williams, J. E., Reis, J. P., & Pluto, D. (2002). Utility of pedometers for assessing physical activity: Convergent validity. Sports Medicine, 32(12), 795-808. https://doi.org/10.2165/00007256-200232120-00004
Go to original source...
- Tudor-Locke, C. E., Williams, J. E., Reis, J. P., & Pluto, D. (2004). Utility of pedometers for assessing physical activity: Construct validity. Sports Medicine, 34(5), 281-291. https://doi.org/10.2165/00007256-200434050-00001
Go to original source...
- Vähä-Ypyä, H., Vasankari, T., Husu, P., Mänttäri, A., Vuorimaa, T., Suni, J., & Sievänen, H. (2015). Validation of cut-points for evaluating the intensity of physical activity with accelerometry-based mean amplitude deviation (MAD). PLOS ONE, 10(8), e0134813. https://doi.org/10.1371/journal.pone.0134813
Go to original source...
- Vähä-Ypyä, H., Vasankari, T., Husu, P., Suni, J., & Sievänen, H. (2015). A universal, accurate intensity-based classification of different physical activities using raw data of accelerometer. Clinical Physiology and Functional Imaging, 35(1), 64-70. https://doi.org/10.1111/cpf.12127
Go to original source...
- van Hees, V. T., Fang, Z., Langford, J., Assah, F., Mohammad, A., da Silva, I. C. M., … Brage, S. (2014). Autocalibration of accelerometer data for free-living physical activity assessment using local gravity and temperature: An evaluation on four continents. Journal of Applied Physiology, 117(7), 738-744. https://doi.org/10.1152/japplphysiol.00421.2014
Go to original source...
- van Hees, V. T., Gorzelniak, L., Dean León, E. C., Eder, M., Pias, M., Taherian, S., … Brage, S. (2013). Separating movement and gravity components in an acceleration signal and implications for the assessment of human daily physical activity. PLOS ONE, 8(4), e61691. https://doi.org/10.1371/journal.pone.0061691
Go to original source...
- van Hees, V. T., Sabia, S., Anderson, K. N., Denton, S. J., Oliver, J., Catt, M., … Singh-Manoux, A. (2015). A novel, open access method to assess sleep duration using a wrist-worn accelerometer. PLOS ONE, 10(11), e0142533. https://doi.org/10.1371/journal.pone.0142533
Go to original source...
- Vangrunderbeek, H., Claessens, A. L., & Delheye, P. (2013). Internal social processes of discipline formation: The case of kinanthropometry. European Journal of Sport Science, 13(3), 312-320. https://doi.org/10.1080/17461391.2011.651489
Go to original source...
- Vickery, W. M., Dascombe, B. J., Baker, J. D., Higham, D. G., Spratford, W. A., & Duffield, R. (2014). Accuracy and reliability of GPS devices for measurement of sports-specific movement patterns related to cricket, tennis, and field-based team sports. Journal of Strength and Conditioning Research, 28(6), 1697-1705. https://doi.org/10.1519/JSC.0000000000000285
Go to original source...
- Vincent, S. D., & Pangrazi, R. P. (2002). Does reactivity exist in children when measuring activity levels with pedometers? Pediatric Exercise Science, 14(1), 56-63. https://doi.org/10.1123/pes.14.1.56
Go to original source...
- Welk, G. J., Schaben, J. A., & Morrow, J. R. (2004). Reliability of accelerometry-based activity monitors: A generalizability study. Medicine & Science in Sports & Exercise, 36(9), 1637-1645.
- Westerterp, K. R. (2017). Doubly labelled water assessment of energy expenditure: Principle, practice, and promise. European Journal of Applied Physiology, 117(7), 1277-1285. https://doi.org/10.1007/s00421-017-3641-x
Go to original source...
- Whybrow, S., Ritz, P., Horgan, G. W., & Stubbs, R. J. (2013). An evaluation of the IDEEATM activity monitor for estimating energy expenditure. The British Journal of Nutrition, 109(1), 173-183. https://doi.org/10.1017/S0007114512000645
Go to original source...
- World Health Organization. Preamble to the Constitution of the World Health Organization, 2 Official Records of the World Health Organization, Proceeding and Final Acts of the International Health Conference held in New York, 19-22 June, 1946 § (1946). Geneva.
- Zakeri, I., Adolph, A. L., Puyau, M. R., Vohra, F. A., & Butte, N. F. (2008). Application of cross-sectional time series modeling for the prediction of energy expenditure from heart rate and accelerometry. Journal of Applied Physiology, 104(6), 1665-1673. https://doi.org/10.1152/japplphysiol.01163.2007
Go to original source...
- Zwolinsky, S., McKenna, J., Pringle, A., Widdop, P., Griffiths, C., Mellis, M., … Collins, P. (2016). Physical activity and sedentary behavior clustering: Segmentation to optimize active lifestyles. Journal of Physical Activity and Health, 13(9), 921-928. https://doi.org/10.1123/jpah.2015-0307
Go to original source...