-
1
-
-
33745988648
-
Physical activity and clustered cardiovascular risk in children: A cross-sectional study (The European Youth Heart Study)
-
Andersen LB, Harro M, Sardinha LB, et al. Physical activity and clustered cardiovascular risk in children: a cross-sectional study (The European Youth Heart Study). Lancet. 2006;368(9532): 299-304.
-
(2006)
Lancet
, vol.368
, Issue.9532
, pp. 299-304
-
-
Andersen, L.B.1
Harro, M.2
Sardinha, L.B.3
-
2
-
-
79960984111
-
Sensor positioning for activity recognition using wearable accelerometers
-
Atallah L, Lo B, King R, Yang GZ. Sensor positioning for activity recognition using wearable accelerometers. IEEE Trans Biomed Circ Syst. 2011;5(4):320-9.
-
(2011)
IEEE Trans Biomed Circ Syst
, vol.5
, Issue.4
, pp. 320-329
-
-
Atallah, L.1
Lo, B.2
King, R.3
Yang, G.Z.4
-
3
-
-
78649670282
-
Delay-distribution-dependent state estimation for discrete-time stochastic neural networks with random delay
-
Bao H, Cao J. Delay-distribution-dependent state estimation for discrete-time stochastic neural networks with random delay. Neural Netw. 2011;24(1):19-28.
-
(2011)
Neural Netw
, vol.24
, Issue.1
, pp. 19-28
-
-
Bao, H.1
Cao, J.2
-
4
-
-
35048842427
-
Activity recognition from user-annotated acceleration data
-
Bao L, Intille SS. Activity recognition from user-annotated acceleration data. Proc Pervasive. 2004;3001:1-17.
-
(2004)
Proc Pervasive
, vol.3001
, pp. 1-17
-
-
Bao, L.1
Intille, S.S.2
-
5
-
-
0347506752
-
Predicting energy expenditure of physical activity using hip-and wrist-worn accelerometers
-
Chen KY, Acra SA, Majchrzak K, et al. Predicting energy expenditure of physical activity using hip-and wrist-worn accelerometers. Diabetes Technol Ther. 2003;5(6):1023-33.
-
(2003)
Diabetes Technol Ther
, vol.5
, Issue.6
, pp. 1023-1033
-
-
Chen, K.Y.1
Acra, S.A.2
Majchrzak, K.3
-
6
-
-
33646370992
-
A novel method for using accelerometer data to predict energy expenditure
-
Crouter SE, Clowers KG, Bassett DR Jr. A novel method for using accelerometer data to predict energy expenditure. J Appl Physiol. 2006;100(4):1324-31.
-
(2006)
J Appl Physiol
, vol.100
, Issue.4
, pp. 1324-1331
-
-
Crouter, S.E.1
Clowers, K.G.2
Bassett Jr., D.R.3
-
7
-
-
77951465020
-
Refined two-regression model for the ActiGraph accelerometer
-
Crouter SE, Kuffel E, Haas JD, Frongillo EA, Bassett DR Jr. Refined two-regression model for the ActiGraph accelerometer. Med Sci Sports Exerc. 2010;42(5):1029-37.
-
(2010)
Med Sci Sports Exerc
, vol.42
, Issue.5
, pp. 1029-1037
-
-
Crouter, S.E.1
Kuffel, E.2
Haas, J.D.3
Frongillo, E.A.4
Bassett Jr., D.R.5
-
8
-
-
0023710206
-
Comparing the areas under two or more correlated receiver operating characteristic curves: A nonparametric approach
-
DeLong ER, DeLong DM, Clarke-Pearson DL. Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics. 1988;44:837-45.
-
(1988)
Biometrics
, vol.44
, pp. 837-845
-
-
Delong, E.R.1
Delong, D.M.2
Clarke-Pearson, D.L.3
-
9
-
-
29244470484
-
Physical activity assessment methods in the Jackson Heart Study
-
Dubbert PM, Carithers T, Ainsworth BE, Taylor HA Jr, Wilson G, Wyatt SB. Physical activity assessment methods in the Jackson Heart Study. Ethn Dis. 2005;15(4 Suppl 6):S6-56-61.
-
(2005)
Ethn Dis
, vol.15
, Issue.4 SUPPL. 6
-
-
Dubbert, P.M.1
Carithers, T.2
Ainsworth, B.E.3
Taylor Jr., H.A.4
Wilson, G.5
Wyatt, S.B.6
-
10
-
-
84859503892
-
Validity and comparability of a wrist-worn accelerometer in children
-
Ekblom O, Nyberg G, Bak EE, Ekelund U, Marcus C. Validity and comparability of a wrist-worn accelerometer in children. J Phys Act Health. 2012;9(3):389-93.
-
(2012)
J Phys Act Health
, vol.9
, Issue.3
, pp. 389-393
-
-
Ekblom, O.1
Nyberg, G.2
Bak, E.E.3
Ekelund, U.4
Marcus, C.5
-
11
-
-
84857082492
-
Moderate to vigorous physical activity and sedentary time and cardiometabolic risk factors in children and adolescents
-
Ekelund U, Luan J, Sherar LB, Esliger DW, Griew P, Cooper A. Moderate to vigorous physical activity and sedentary time and cardiometabolic risk factors in children and adolescents. JAMA. 2012;307(7):704-12.
-
(2012)
JAMA
, vol.307
, Issue.7
, pp. 704-712
-
-
Ekelund, U.1
Luan, J.2
Sherar, L.B.3
Esliger, D.W.4
Griew, P.5
Cooper, A.6
-
12
-
-
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
-
13
-
-
33845362645
-
Technical reliability assessment of three accelerometer models in a mechanical setup
-
Esliger DW, Tremblay MS. Technical reliability assessment of three accelerometer models in a mechanical setup. Med Sci Sports Exerc. 2006;38(12):2173-81.
-
(2006)
Med Sci Sports Exerc
, vol.38
, Issue.12
, pp. 2173-2181
-
-
Esliger, D.W.1
Tremblay, M.S.2
-
14
-
-
25844441684
-
Precision and accuracy of an ankle-worn accelerometer-based pedometer in step counting and energy expenditure
-
Foster RC, Lanningham-Foster LM, Manohar C, et al. Precision and accuracy of an ankle-worn accelerometer-based pedometer in step counting and energy expenditure. Prev Med. 2005;41(3-4):778-83.
-
(2005)
Prev Med
, vol.41
, Issue.3-4
, pp. 778-783
-
-
Foster, R.C.1
Lanningham-Foster, L.M.2
Manohar, C.3
-
15
-
-
0031894133
-
Calibration of the Computer Science and Applications, Inc. accelerometer
-
Freedson PS, Melanson E, Sirard J. Calibration of the Computer Science and Applications, Inc. accelerometer. Med Sci Sports Exerc. 1998;30(5):777-81.
-
(1998)
Med Sci Sports Exerc
, vol.30
, Issue.5
, pp. 777-781
-
-
Freedson, P.S.1
Melanson, E.2
Sirard, J.3
-
16
-
-
79952104880
-
Objective and subjective measures of sedentary behavior and physical activity
-
Hart TL, Ainsworth BE, Tudor-Locke C. Objective and subjective measures of sedentary behavior and physical activity. Med Sci Sports Exerc. 2011;43(3):449-56.
-
(2011)
Med Sci Sports Exerc
, vol.43
, Issue.3
, pp. 449-456
-
-
Hart, T.L.1
Ainsworth, B.E.2
Tudor-Locke, C.3
-
17
-
-
79959972962
-
How many days of monitoring predict physical activity and sedentary behaviour in older adults?
-
Hart TL, Swartz AM, Cashin SE, Strath SJ. How many days of monitoring predict physical activity and sedentary behaviour in older adults? Int J Behav Nutr Phys Act. 2011;8:62.
-
(2011)
Int J Behav Nutr Phys Act
, vol.8
, pp. 62
-
-
Hart, T.L.1
Swartz, A.M.2
Cashin, S.E.3
Strath, S.J.4
-
18
-
-
67649859498
-
Objectively measured physical activity of USA adults by sex, age, and racial/ ethnic groups: A cross-sectional study
-
Hawkins MS, Storti KL, Richardson CR, et al. Objectively measured physical activity of USA adults by sex, age, and racial/ ethnic groups: a cross-sectional study. Int J Behav Nutr Phys Act. 2009;6:31.
-
(2009)
Int J Behav Nutr Phys Act
, vol.6
, pp. 31
-
-
Hawkins, M.S.1
Storti, K.L.2
Richardson, C.R.3
-
19
-
-
48649099089
-
Breaks in sedentary time: Beneficial associations with metabolic risk
-
Healy GN, Dunstan DW, Salmon J, et al. Breaks in sedentary time: beneficial associations with metabolic risk. Diabetes Care. 2008; 31(4):661-6.
-
(2008)
Diabetes Care
, vol.31
, Issue.4
, pp. 661-666
-
-
Healy, G.N.1
Dunstan, D.W.2
Salmon, J.3
-
20
-
-
79952355838
-
Sedentary time and cardio-metabolic biomarkers in US adults: NHANES 2003-06
-
Healy GN, Matthews CE, Dunstan DW, Winkler EAH, Owen N. Sedentary time and cardio-metabolic biomarkers in US adults: NHANES 2003-06. Eur Heart J. 2011;32(5):590-7.
-
(2011)
Eur Heart J
, vol.32
, Issue.5
, pp. 590-597
-
-
Healy, G.N.1
Matthews, C.E.2
Dunstan, D.W.3
Winkler, E.A.H.4
Owen, N.5
-
21
-
-
38949185747
-
Objectively measured sedentary time, physical activity, and metabolic risk: The Australian Diabetes, Obesity and Lifestyle Study (AusDiab)
-
Healy GN, Wijndaele K, Dunstan DW, et al. Objectively measured sedentary time, physical activity, and metabolic risk: the Australian Diabetes, Obesity and Lifestyle Study (AusDiab). Diabetes Care. 2008;31(2):369-71.
-
(2008)
Diabetes Care
, vol.31
, Issue.2
, pp. 369-371
-
-
Healy, G.N.1
Wijndaele, K.2
Dunstan, D.W.3
-
22
-
-
0033817363
-
Validity of accelerometry for the assessment of moderate intensity physical activity in the field
-
Hendelman D, Miller K, Baggett C, Debold E, Freedson P. Validity of accelerometry for the assessment of moderate intensity physical activity in the field. Med Sci Sports Exerc. 2000;32(9 Suppl):S442-9.
-
(2000)
Med Sci Sports Exerc
, vol.32
, Issue.9 SUPPL.
-
-
Hendelman, D.1
Miller, K.2
Baggett, C.3
Debold, E.4
Freedson, P.5
-
23
-
-
81255214969
-
Physical activity, sedentary behavior, and the metabolic syndrome in minority youth
-
Hsu YW, Belcher BR, Ventura EE, et al. Physical activity, sedentary behavior, and the metabolic syndrome in minority youth. Med Sci Sports Exerc. 2011;43(12):2307-13.
-
(2011)
Med Sci Sports Exerc
, vol.43
, Issue.12
, pp. 2307-2313
-
-
Hsu, Y.W.1
Belcher, B.R.2
Ventura, E.E.3
-
24
-
-
84862632111
-
Design of a wearable physical activity monitoring system using mobile phones and accelerometers. Conf Proc
-
Intille S, Albinali F, Mota S, Kuris B, Botana P, and Haskell W. Design of a wearable physical activity monitoring system using mobile phones and accelerometers. Conf Proc IEEE Eng Med Bio/ Soc. 2011;3636-9.
-
(2011)
IEEE Eng Med Bio/ Soc
, pp. 3636-3639
-
-
Intille, S.1
Albinali, F.2
Mota, S.3
Kuris, B.4
Botana, P.5
Haskell, W.6
-
25
-
-
67650033386
-
Sitting time and mortality from all causes, cardiovascular disease, and cancer
-
Katzmarzyk PT, Church TS, Craig CL, Bouchard C. Sitting time and mortality from all causes, cardiovascular disease, and cancer. Med Sci Sports Exerc. 2009;41(5):998-1005.
-
(2009)
Med Sci Sports Exerc
, vol.41
, Issue.5
, pp. 998-1005
-
-
Katzmarzyk, P.T.1
Church, T.S.2
Craig, C.L.3
Bouchard, C.4
-
26
-
-
79961030937
-
Validation of wearable monitors for assessing sedentary behavior
-
Kozey-Keadle S, Libertine A, Lyden K, Staudenmayer J, Freedson PS. Validation of wearable monitors for assessing sedentary behavior. Med Sci Sports Exerc. 2011;43(8): 1561-7.
-
(2011)
Med Sci Sports Exerc
, vol.43
, Issue.8
, pp. 1561-1567
-
-
Kozey-Keadle, S.1
Libertine, A.2
Lyden, K.3
Staudenmayer, J.4
Freedson, P.S.5
-
27
-
-
84868304556
-
Computational methods for estimating energy expenditure in human physical activities
-
Liu S, Gao R, Freedson P. Computational methods for estimating energy expenditure in human physical activities. Med Sci Sports Exerc. 2012;44(11):2138-46.
-
(2012)
Med Sci Sports Exerc
, vol.44
, Issue.11
, pp. 2138-2146
-
-
Liu, S.1
Gao, R.2
Freedson, P.3
-
28
-
-
82455188105
-
Associations of objectively assessed physical activity and sedentary time with biomarkers of breast cancer risk in postmenopausal women: Findings from NHANES (2003-2006)
-
Lynch BM, Friedenreich CM, Winkler EA, et al. Associations of objectively assessed physical activity and sedentary time with biomarkers of breast cancer risk in postmenopausal women: findings from NHANES (2003-2006). Breast Cancer Res Treat. 2011; 130(1):183-94
-
(2011)
Breast Cancer Res Treat
, vol.130
, Issue.1
, pp. 183-194
-
-
Lynch, B.M.1
Friedenreich, C.M.2
Winkler, E.A.3
-
29
-
-
20544465741
-
Calibration of accelerometer output for adults
-
Matthews CE. Calibration of accelerometer output for adults. Med Sci Sports Exerc. 2005;37(11 Suppl):S512-22.
-
(2005)
Med Sci Sports Exerc
, vol.37
, Issue.11 SUPPL.
-
-
Matthews, C.E.1
-
30
-
-
0029047145
-
Validity of the Computer Science and Applications, Inc. (CSA) activity monitor
-
Melanson EL Jr, Freedson PS. Validity of the Computer Science and Applications, Inc. (CSA) activity monitor. Med Sci Sports Exerc. 1995;27(6):934-40.
-
(1995)
Med Sci Sports Exerc
, vol.27
, Issue.6
, pp. 934-940
-
-
Melanson Jr., E.L.1
Freedson, P.S.2
-
31
-
-
77954231188
-
Too much sitting: The population health science of sedentary behavior
-
Owen N, Healy GN, Matthews CE, Dunstan DW. Too much sitting: the population health science of sedentary behavior. Exerc Sport Sci Rev. 2010;38(3):105-13.
-
(2010)
Exerc Sport Sci Rev
, vol.38
, Issue.3
, pp. 105-113
-
-
Owen, N.1
Healy, G.N.2
Matthews, C.E.3
Dunstan, D.W.4
-
32
-
-
84873569639
-
Calibration of the GENEA accelerometer for assessment of physical activity intensity in children
-
Phillips LR, Parfitt G, Rowlands AV. Calibration of the GENEA accelerometer for assessment of physical activity intensity in children. J Sci Med Sport. 2013;16(2):124-8.
-
(2013)
J Sci Med Sport
, vol.16
, Issue.2
, pp. 124-128
-
-
Phillips, L.R.1
Parfitt, G.2
Rowlands, A.V.3
-
33
-
-
33748577353
-
Development of novel techniques to classify physical activity mode using accelerometers
-
Pober D, Staudenmayer J, Raphael C, Freedson P. Development of novel techniques to classify physical activity mode using accelerometers. Med Sci Sports Exerc. 2006;38(9):1626.
-
(2006)
Med Sci Sports Exerc
, vol.38
, Issue.9
, pp. 1626
-
-
Pober, D.1
Staudenmayer, J.2
Raphael, C.3
Freedson, P.4
-
34
-
-
77249127052
-
Estimation of resistance exercise energy expenditure using accelerometry
-
Rawson ES, Walsh TM. Estimation of resistance exercise energy expenditure using accelerometry. Med Sci Sports Exerc. 2010; 42(3):622-8.
-
(2010)
Med Sci Sports Exerc
, vol.42
, Issue.3
, pp. 622-628
-
-
Rawson, E.S.1
Walsh, T.M.2
-
35
-
-
84876730737
-
Objective measurement of sedentary behavior with accelerometers
-
American Heart Association; Atlanta (GA)
-
Rosenberger M, Haskell W, Quatromoni P, Albini F, Intille S. Objective measurement of sedentary behavior with accelerometers. In: Proceedings of the NPAM/EPI Scientific Sessions. American Heart Association; Atlanta (GA): 2011. p. 101.
-
(2011)
Proceedings of the NPAM/EPI Scientific Sessions
, pp. 101
-
-
Rosenberger, M.1
Haskell, W.2
Quatromoni, P.3
Albini, F.4
Intille, S.5
-
36
-
-
35348971908
-
An artificial neural network model of energy expenditure using nonintegrated acceleration signals
-
Rothney MP, Neumann M, Beziat A, Chen KY. An artificial neural network model of energy expenditure using nonintegrated acceleration signals. J Appl Physiol. 2007;103(4): 1419-27.
-
(2007)
J Appl Physiol
, vol.103
, Issue.4
, pp. 1419-1427
-
-
Rothney, M.P.1
Neumann, M.2
Beziat, A.3
Chen, K.Y.4
-
37
-
-
80053916320
-
Recognition of activities in children by two uniaxial accelerometers in free-living conditions
-
Ruch N, Rumo M, Mader U. Recognition of activities in children by two uniaxial accelerometers in free-living conditions. Eur J Appl Physiol. 2011;111(8):1917-27.
-
(2011)
Eur J Appl Physiol
, vol.111
, Issue.8
, pp. 1917-1927
-
-
Ruch, N.1
Rumo, M.2
Mader, U.3
-
38
-
-
0023847996
-
PAR-Q, Canadian Home Fitness Test and exercise screening alternatives
-
Shephard RJ. PAR-Q, Canadian Home Fitness Test and exercise screening alternatives. Sports Med. 1988;5(3):185-95.
-
(1988)
Sports Med
, vol.5
, Issue.3
, pp. 185-195
-
-
Shephard, R.J.1
-
39
-
-
77952388096
-
Accelerometer-determined steps/day and metabolic syndrome
-
Sisson SB, Camhi SM, Church TS, Tudor-Locke C, Johnson WD, Katzmarzyk PT. Accelerometer-determined steps/day and metabolic syndrome. Am J Prev Med. 2010;38(6):575-82.
-
(2010)
Am J Prev Med
, vol.38
, Issue.6
, pp. 575-582
-
-
Sisson, S.B.1
Camhi, S.M.2
Church, T.S.3
Tudor-Locke, C.4
Johnson, W.D.5
Katzmarzyk, P.T.6
-
40
-
-
70350115240
-
An artificial neural network to estimate physical activity energy expenditure and identify physical activity type from an accelerometer
-
Staudenmayer J, Pober D, Crouter S, Bassett D, Freedson P. An artificial neural network to estimate physical activity energy expenditure and identify physical activity type from an accelerometer. J Appl Physiol. 2009;107(4):1300.
-
(2009)
J Appl Physiol
, vol.107
, Issue.4
, pp. 1300
-
-
Staudenmayer, J.1
Pober, D.2
Crouter, S.3
Bassett, D.4
Freedson, P.5
-
41
-
-
0033822635
-
Estimation of energy expenditure using CSA accelerometers at hip and wrist sites
-
Swartz AM, Strath SJ, Bassett DR Jr, O'Brien WL, King GA, Ainsworth BE. Estimation of energy expenditure using CSA accelerometers at hip and wrist sites. Med Sci Sports Exerc. 2000;32(9 Suppl):S450-6.
-
(2000)
Med Sci Sports Exerc
, vol.32
, Issue.9 SUPPL.
-
-
Swartz, A.M.1
Strath, S.J.2
Bassett Jr., D.R.3
O'Brien, W.L.4
King, G.A.5
Ainsworth, B.E.6
-
42
-
-
34547700417
-
Clinical utility of the Stanford brief activity survey in men and women with earlyonset coronary artery disease
-
Taylor-Piliae RE, Haskell WL, Iribarren C, et al. Clinical utility of the Stanford brief activity survey in men and women with earlyonset coronary artery disease. J Cardiopulm Rehabil Prev. 2007;27(4):227-32.
-
(2007)
J Cardiopulm Rehabil Prev
, vol.27
, Issue.4
, pp. 227-232
-
-
Taylor-Piliae, R.E.1
Haskell, W.L.2
Iribarren, C.3
-
43
-
-
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, K.W.3
Masse, L.C.4
Tilert, T.5
McDowell, M.6
-
44
-
-
79960919337
-
Estimation of daily energy expenditure in pregnant and non-pregnant women using a wrist-worn tri-axial accelerometer
-
van Hees VT, Renstrom F, Wright A, et al. Estimation of daily energy expenditure in pregnant and non-pregnant women using a wrist-worn tri-axial accelerometer. PLoS One. 2011;6(7): e22922.
-
(2011)
PLoS One
, vol.6
, Issue.7
-
-
Van Hees, V.T.1
Renstrom, F.2
Wright, A.3
-
45
-
-
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
|