-
1
-
-
84899641071
-
ActiGraph GT3X+ cutpoints for identifying sedentary behaviour in older adults in freeliving environments
-
Aguilar-Faŕas N, Brown WJ, Peeters GM. ActiGraph GT3X+ cutpoints for identifying sedentary behaviour in older adults in freeliving environments. J SciMed Sport. 2013, http://dx.doi.org/10.1016/j.jsams.2013.07.002.
-
(2013)
J SciMed Sport
-
-
Aguilar-Faŕas, N.1
Brown, W.J.2
Peeters, G.M.3
-
2
-
-
0033822207
-
Compendium of physical activities: An update of activity codes and MET intensities
-
Ainsworth BE, Haskell WL, Whitt MC, et al. Compendium of physical activities: an update of activity codes and MET intensities. Med Sci Sports Exerc. 2000;32(9 Suppl):S498-516.
-
(2000)
Med Sci Sports Exerc
, vol.32
, Issue.9 SUPPL.
-
-
Ainsworth, B.E.1
Haskell, W.L.2
Whitt, M.C.3
-
3
-
-
79961091187
-
Compendium of physical activities: A second update of codes and MET values
-
Ainsworth BE, Haskell WL, Herrmann SD, et al. Compendium of physical activities: A second update of codes and MET values. Med Sci Sports Exerc. 2011;43(8):1575-81.
-
(2011)
Med Sci Sports Exerc
, vol.43
, Issue.8
, pp. 1575-1581
-
-
Ainsworth, B.E.1
Haskell, W.L.2
Herrmann, S.D.3
-
5
-
-
69349091456
-
Detection of type duration and intensity of physical activity using an accelerometer
-
Bonomi AG, Goris AH, Yin B, Westerterp KR. Detection of type duration and intensity of physical activity using an accelerometer. Med Sci Sports Exerc. 2009;41(9):1770-7.
-
(2009)
Med Sci Sports Exerc
, vol.41
, Issue.9
, pp. 1770-1777
-
-
Bonomi, A.G.1
Goris, A.H.2
Yin, B.3
Westerterp, K.R.4
-
6
-
-
84866914724
-
Evidence that women meeting physical activity guidelines do not sit less: An observational inclinometry study
-
Craft LL, Zderic TW, Gapstur SM, et al. Evidence that women meeting physical activity guidelines do not sit less: an observational inclinometry study. Int J Behav Nutr Phys Act. 2012;9:122.
-
(2012)
Int J Behav Nutr Phys Act
, vol.9
, pp. 122
-
-
Craft, L.L.1
Zderic, T.W.2
Gapstur, S.M.3
-
7
-
-
84885020364
-
Validity of the ActivPALTM and the ActiGraph monitors in preschoolers
-
DeDecker E, De Craemer M, Santos-Lozano A, Van Cauwenberghe E, De Bourdeaudhuij I, Cardon G. Validity of the ActivPALTM and the ActiGraph monitors in preschoolers. Med Sci Sports Exerc. 2013;45(10):2002-11.
-
(2013)
Med Sci Sports Exerc
, vol.45
, pp. 102002-102011
-
-
Dedecker, E.1
De Craemer, M.2
Santos-Lozano, A.3
Van Cauwenberghe, E.4
De Bourdeaudhuij, I.5
Cardon, G.6
-
8
-
-
78650900690
-
Evaluation of neural networks to identify types of activity using accelerometers
-
De Vries SI, Garre FG, Engbers LH. Evaluation of neural networks to identify types of activity using accelerometers. Med Sci Sports Exerc. 2011;43(1):101-7.
-
(2011)
Med Sci Sports Exerc
, vol.43
, Issue.1
, pp. 101-107
-
-
De Vries, S.I.1
Garre, F.G.2
Engbers, L.H.3
-
10
-
-
79957985818
-
Validation of the GENEA accelerometer
-
Esliger DW, Rowlands AV, Hurst TL, Catt M, Murray P, Eston RG. Validation of the GENEA accelerometer. Med Sci Sports Exerc. 2011;43(6):1085-93.
-
(2011)
Med Sci Sports Exerc
, vol.43
, Issue.6
, pp. 1085-1093
-
-
Esliger, D.W.1
Rowlands, A.V.2
Hurst, T.L.3
Catt, M.4
Murray, P.5
Eston, R.G.6
-
11
-
-
84870894838
-
Doubly labeled water validation of a computerized use of time recall in active young people
-
Foley L, Maddison R, Rush E, Olds T, Ridley K, Jiang Y. Doubly labeled water validation of a computerized use of time recall in active young people. Metabolism. 2013;62:163-9.
-
(2013)
Metabolism
, vol.62
, pp. 163-169
-
-
Foley, L.1
Maddison, R.2
Rush, E.3
Olds, T.4
Ridley, K.5
Jiang, Y.6
-
12
-
-
84876720016
-
Comment on estimating activity and sedentary behavior from an accelerometer on the hip and wrist
-
Freedson PS, John D. Comment on "estimating activity and sedentary behavior from an accelerometer on the hip and wrist." Med Sci Sports Exerc. 2013;45(5):962-3.
-
(2013)
Med Sci Sports Exerc
, vol.45
, Issue.5
, pp. 962-963
-
-
Freedson, P.S.1
John, D.2
-
13
-
-
79952314542
-
Development and evaluation of an adult use-of-time instrument with an energy expenditure focus
-
Gomersall SR, Olds TS, Ridley K. Development and evaluation of an adult use-of-time instrument with an energy expenditure focus. J Sci Med Sport. 2011;14:143-8.
-
(2011)
J Sci Med Sport
, vol.14
, pp. 143-148
-
-
Gomersall, S.R.1
Olds, T.S.2
Ridley, K.3
-
14
-
-
77950943477
-
Analyzing freeliving physical activity of older adults in different environments using body-worn activity monitors
-
Grant M, Granat MH, Thow MK, Maclaren WM. Analyzing freeliving physical activity of older adults in different environments using body-worn activity monitors. J Aging Phys Act. 2010;18: 171-84.
-
(2010)
J Aging Phys Act
, vol.18
, pp. 171-184
-
-
Grant, M.1
Granat, M.H.2
Thow, M.K.3
Maclaren, W.M.4
-
15
-
-
33845456203
-
The validation of a novel activity monitor in the measurement of posture and motion during everyday activities
-
Grant PM, Ryan CG, Tigbe WW, Granat MH. The validation of a novel activity monitor in the measurement of posture and motion during everyday activities. Brit J Sports Med. 2006;40:992-7.
-
(2006)
Brit J Sports Med
, vol.40
, pp. 992-997
-
-
Grant, P.M.1
Ryan, C.G.2
Tigbe, W.W.3
Granat, M.H.4
-
16
-
-
80052076109
-
Identifying types of physical activity with a single accelerometer: Evaluating laboratory trained algorithms in daily life
-
Gyllensten IC, Bonomi AG. Identifying types of physical activity with a single accelerometer: evaluating laboratory trained algorithms in daily life. IEEE Trans Biomed Eng. 2011;58:2656-63.
-
(2011)
IEEE Trans Biomed Eng
, vol.58
, pp. 2656-2663
-
-
Gyllensten, I.C.1
Bonomi, A.G.2
-
17
-
-
84903874716
-
Real-time daily activity classification with wireless sensor networks using Hidden Markov Model. Conf Proc
-
He J, Li H, Tan J. Real-time daily activity classification with wireless sensor networks using Hidden Markov Model. Conf Proc IEEE Eng Med Biol Soc. 2007;3192-5.
-
(2007)
IEEE Eng Med Biol Soc
, pp. 3192-3195
-
-
He, J.1
Li, H.2
Tan, J.3
-
18
-
-
84867554022
-
Can we use digital life-log images to investigate active and sedentary travel behaviour Results from a pilot study
-
Kelly P, Doherty AR, Hamilton A, et al. Can we use digital life-log images to investigate active and sedentary travel behaviour Results from a pilot study. AmJ Prev Med. 2012;43:546-50.
-
(2012)
AmJ Prev Med
, vol.43
, pp. 546-550
-
-
Kelly, P.1
Doherty, A.R.2
Hamilton, A.3
-
19
-
-
84865692769
-
The feasibility of reducing and measuring sedentary time among overweight, non-exercising office workers
-
doi: 10.1155/2012/282303. Epub 2011 Nov 16
-
Kozey-Keadle S, Libertine A, Staudenmayer J, Freedson P. The feasibility of reducing and measuring sedentary time among overweight, non-exercising office workers.J Obes. 2012, http://www.hindawi.com/journals/jobes/2012/282303/, doi: 10.1155/2012/282303. Epub 2011 Nov 16
-
(2012)
J Obes
-
-
Kozey-Keadle, S.1
Libertine, A.2
Staudenmayer, J.3
Freedson, P.4
-
20
-
-
0033534524
-
Role of nonexercise activity thermogenesis in resistance to fat gain in humans
-
Levine JA, Eberhardt NL, Jensen MD. Role of nonexercise activity thermogenesis in resistance to fat gain in humans. Science. 199;283:212.
-
Science
, vol.199
, Issue.283
, pp. 212
-
-
Levine, J.A.1
Eberhardt, N.L.2
Jensen, M.D.3
-
21
-
-
84868304437
-
Validity of two wearable monitors to estimate breaks from sedentary time
-
Lyden K, Kozey Keadle SL, Staudenmayer JW, Freedson PS. Validity of two wearable monitors to estimate breaks from sedentary time. Med Sci Sports Exerc. 2012;44(11):2243-52.
-
(2012)
Med Sci Sports Exerc
, vol.44
, Issue.11
, pp. 2243-2252
-
-
Lyden, K.1
Kozey Keadle, S.L.2
Staudenmayer, J.W.3
Freedson, P.S.4
-
22
-
-
41349118958
-
Amount of time spent in sedentary behaviors in the United States 2003-2004
-
Matthews CM, Chen KY, Freedson PS, et al. Amount of time spent in sedentary behaviors in the United States, 2003-2004. Am J Epidemiol. 2008;167:875-81.
-
(2008)
Am J Epidemiol
, vol.167
, pp. 875-881
-
-
Matthews, C.M.1
Chen, K.Y.2
Freedson, P.S.3
-
23
-
-
83455238072
-
Best practices for using physical activity monitors in population-based research
-
Matthews, CE, Hagströmer M, Pober DM, Bowles HR. Best practices for using physical activity monitors in population-based research. Med Sci Sports Exerc. 2012;44(1 Suppl):S68-76.
-
(2012)
Med Sci Sports Exerc
, vol.44
, Issue.1 SUPPL.
-
-
Matthews, C.E.1
Hagströmer, M.2
Pober, D.M.3
Bowles, H.R.4
-
25
-
-
84873569639
-
Calibration of the GENEA accelerometer for assessment of physical activity intensity in children
-
Phillips LRS, Parfitt CG, Rowlands AV. Calibration of the GENEA accelerometer for assessment of physical activity intensity in children. J Sci Med Sport. 2013;16:124-8.
-
(2013)
J Sci Med Sport
, vol.16
, pp. 124-128
-
-
Lrs, P.1
Parfitt, C.G.2
Rowlands, A.V.3
-
27
-
-
33748577353
-
Development of novel techniques to classify physical activity mode using accelerometers
-
Pober DM, Staudenmayer J, Raphael C, Freedson PS. Development of novel techniques to classify physical activity mode using accelerometers. Med Sci Sports Exerc. 2006;37(9):1626-34.
-
(2006)
Med Sci Sports Exerc
, vol.37
, Issue.9
, pp. 1626-1634
-
-
Pober, D.M.1
Staudenmayer, J.2
Raphael, C.3
Freedson, P.S.4
-
28
-
-
33746618787
-
The multimedia activity recall for children and adolescents (MARCA): Development and evaluation
-
Ridley K, Old TS, Hill A. The multimedia activity recall for children and adolescents (MARCA): development and evaluation. Int J Behav Nutr Phys Act. 2006;3:10
-
(2006)
Int J Behav Nutr Phys Act
, vol.3
, pp. 10
-
-
Ridley, K.1
Old, T.S.2
Hill, A.3
-
29
-
-
38049032926
-
Physical activity in the United States measured by accelerometer
-
Troiano RP, Berrigan D, Dodd KW,Masse LC, Tilert T, McDowell M. Physical activity in the United States measured by accelerometer. Med Sci Sports Exerc. 2008;40(1):181-8.
-
(2008)
Med Sci Sports Exerc
, vol.40
, Issue.1
, pp. 181-188
-
-
Troiano, R.P.1
Berrigan, D.2
Dodd Kwmasse, L.C.3
Tilert, T.4
McDowell, M.5
-
30
-
-
84878568785
-
Impact of study design on development and evaluation of an activity-type classifier
-
Van Hees VT, Golubic R, Ekelund U, Brage S. Impact of study design on development and evaluation of an activity-type classifier. J Appl Physiol. 2013;114:1042-51.
-
(2013)
J Appl Physiol
, vol.114
, pp. 1042-1051
-
-
Van Hees, V.T.1
Golubic, R.2
Ekelund, U.3
Brage, S.4
-
31
-
-
18544372466
-
Understanding interobserver agreement: The kappa statistic
-
Viera AJ, Garrett JM. Understanding interobserver agreement: the kappa statistic. Fam Med. 2005;37:360-3.
-
(2005)
Fam Med
, vol.37
, pp. 360-363
-
-
Viera, A.J.1
Garrett, J.M.2
-
32
-
-
84868300227
-
Activity classification using the GENEA: Optimum sampling frequency and number of axes
-
Zhang S, Murray P, Zilmer R, Eston RG, Catt, M, Rowlands AV. Activity classification using the GENEA: optimum sampling frequency and number of axes. Med Sci Sports Exerc. 2012;44(11): 2228-34.
-
(2012)
Med Sci Sports Exerc
, vol.44
, Issue.11
, pp. 2228-2234
-
-
Zhang, S.1
Murray, P.2
Zilmer, R.3
Eston, R.G.4
Catt, M.5
Rowlands, A.V.6
-
33
-
-
84858704145
-
Physical activity classification using the GENEA wrist-worn accelerometer
-
Zhang S, Rowlands AV, Murray P, Hurst TL. Physical activity classification using the GENEA wrist-worn accelerometer. Med Sci Sports Exerc. 2012;44(4):742-8.
-
(2012)
Med Sci Sports Exerc
, vol.44
, Issue.4
, pp. 742-748
-
-
Zhang, S.1
Rowlands, A.V.2
Murray, P.3
Hurst, T.L.4
|