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Volumn 45, Issue 5, 2013, Pages 964-975

Estimating activity and sedentary behavior from an accelerometer on the hip or wrist

Author keywords

[No Author keywords available]

Indexed keywords

ACCELEROMETRY; ADOLESCENT; ADULT; AGED; COMPARATIVE STUDY; ENERGY METABOLISM; EQUIPMENT; EQUIPMENT DESIGN; FEMALE; HIP; HUMAN; MALE; METHODOLOGY; MIDDLE AGED; MOTOR ACTIVITY; RECEIVER OPERATING CHARACTERISTIC; REVIEW; SEDENTARY LIFESTYLE; WRIST; YOUNG ADULT;

EID: 84876731081     PISSN: 01959131     EISSN: 15300315     Source Type: Journal    
DOI: 10.1249/MSS.0b013e31827f0d9c     Document Type: Review
Times cited : (190)

References (45)
  • 1
    • 33745988648 scopus 로고    scopus 로고
    • 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 scopus 로고    scopus 로고
    • 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 scopus 로고    scopus 로고
    • 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 scopus 로고    scopus 로고
    • 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 scopus 로고    scopus 로고
    • 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 scopus 로고    scopus 로고
    • 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
  • 8
    • 0023710206 scopus 로고
    • 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
  • 10
    • 84859503892 scopus 로고    scopus 로고
    • 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 scopus 로고    scopus 로고
    • 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
  • 13
    • 33845362645 scopus 로고    scopus 로고
    • 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 scopus 로고    scopus 로고
    • 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 scopus 로고    scopus 로고
    • 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 scopus 로고    scopus 로고
    • 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 scopus 로고    scopus 로고
    • 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 scopus 로고    scopus 로고
    • 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 scopus 로고    scopus 로고
    • 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 scopus 로고    scopus 로고
    • 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 scopus 로고    scopus 로고
    • 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 scopus 로고    scopus 로고
    • 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 scopus 로고    scopus 로고
    • 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 scopus 로고    scopus 로고
    • 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 scopus 로고    scopus 로고
    • 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
  • 27
    • 84868304556 scopus 로고    scopus 로고
    • 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 scopus 로고    scopus 로고
    • 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 scopus 로고    scopus 로고
    • 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 scopus 로고
    • 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 scopus 로고    scopus 로고
    • 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 scopus 로고    scopus 로고
    • 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 scopus 로고    scopus 로고
    • 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 scopus 로고    scopus 로고
    • 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
  • 36
    • 35348971908 scopus 로고    scopus 로고
    • 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 scopus 로고    scopus 로고
    • 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 scopus 로고
    • 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
  • 40
    • 70350115240 scopus 로고    scopus 로고
    • 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
  • 42
    • 34547700417 scopus 로고    scopus 로고
    • 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
  • 44
    • 79960919337 scopus 로고    scopus 로고
    • 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 scopus 로고    scopus 로고
    • 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


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