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Volumn 46, Issue 6, 2012, Pages 436-442

Identifying sedentary time using automated estimates of accelerometer wear time

Author keywords

[No Author keywords available]

Indexed keywords

ACCELERATION; ADULT; AGED; ALGORITHM; AMBULATORY MONITORING; ARTICLE; EQUIPMENT; EVALUATION; FEMALE; HUMAN; INSTRUMENTATION; MALE; MIDDLE AGED; SEDENTARY LIFESTYLE; TIME;

EID: 84860163438     PISSN: 03063674     EISSN: 14730480     Source Type: Journal    
DOI: 10.1136/bjsm.2010.079699     Document Type: Article
Times cited : (70)

References (18)
  • 2
    • 20544465741 scopus 로고    scopus 로고
    • Calibration of accelerometer output for adults
    • DOI 10.1249/01.mss.0000185659.11982.3d
    • Matthews CE. Calibration of accelerometer output for adults. Med Sci Sports Exerc 2005;37:S512-22. (Pubitemid 41691814)
    • (2005) Medicine and Science in Sports and Exercise , vol.37 , Issue.11 SUPPL.
    • Matthews, C.E.1
  • 4
    • 84860128612 scopus 로고    scopus 로고
    • National Centre for Health Statistics, Centres for Disease Control and Prevention Hyattsville, MD: US Department of Health and Human Services (accessed 10 July 2010)
    • National Centre for Health Statistics, Centres for Disease Control and Prevention. NHANES 2003-2004 Data Documentation Exam Component: Physical Activity Monitor (PAXRAW-C). Hyattsville, MD: US Department of Health and Human Services, 2006. http://www.cdc.gov/nchs/data/nhanes/nhanes-03-04/paxraw-c.pdf (accessed 10 July 2010).
    • (2006) NHANES 2003-2004 Data Documentation Exam Component: Physical Activity Monitor (PAXRAW-C)
  • 5
    • 38049032926 scopus 로고    scopus 로고
    • Physical activity in the United States measured by accelerometer
    • Troiano RP, Berrigan D, Dodd KW, et al. Physical activity in the United States measured by accelerometer. Med Sci Sports Exerc 2008;40:181-8.
    • (2008) Med Sci Sports Exerc , vol.40 , pp. 181-188
    • Troiano, R.P.1    Berrigan, D.2    Dodd, K.W.3
  • 6
    • 28044438365 scopus 로고    scopus 로고
    • Principles of design and analyses for the calibration of accelerometry-based activity monitors
    • DOI 10.1249/01.mss.0000185660.38335.de
    • Welk GJ. Principles of design and analyses for the calibration of accelerometry-based activity monitors. Med Sci Sports Exerc 2005;37:S501-11. (Pubitemid 41691813)
    • (2005) Medicine and Science in Sports and Exercise , vol.37 , Issue.11 SUPPL.
    • Welk, G.J.1
  • 8
    • 68149116184 scopus 로고    scopus 로고
    • Assessment of differing definitions of accelerom eter nonwear time
    • Evenson KR, Terry JW Jr. Assessment of differing definitions of accelerom eter nonwear time. Res Q Exerc Sport 2009;80:355-62.
    • (2009) Res Q Exerc Sport , vol.80 , pp. 355-362
    • Evenson, K.R.1    Terry Jr., J.W.2
  • 9
    • 34249884215 scopus 로고    scopus 로고
    • Objectively measured light-intensity physical activity is independently associated with 2-h plasma glucose
    • DOI 10.2337/dc07-0114
    • Healy GN, Dunstan DW, Salmon J, et al. Objectively measured light-intensity physical activity is independently associated with 2-h plasma glucose. Diabetes Care 2007;30:1384-9. (Pubitemid 46871142)
    • (2007) Diabetes Care , vol.30 , Issue.6 , pp. 1384-1389
    • Healy, G.N.1    Dunstan, D.W.2    Salmon, J.3    Cerin, E.4    Shaw, J.E.5    Zimmet, P.Z.6    Owen, N.7
  • 10
    • 62549092446 scopus 로고    scopus 로고
    • Hyattsville, MD: US Department of Health and Human Services, Centers for Disease Control and Prevention 2005-2006 (updated 2003-2004, 2005-2006) (accessed 30 May 2009)
    • Centers for Disease Control and Prevention (CDC), National Center for Health Statistics (NCHS). National Health and Nutrition Examination Survey Data. Hyattsville, MD: US Department of Health and Human Services, Centers for Disease Control and Prevention, 2003-2004, 2005-2006 (updated 2003-2004, 2005-2006). http://www.cdc.gov/nchs/nhanes.htm (accessed 30 May 2009).
    • (2003) National Center for Health Statistics (NCHS). National Health and Nutrition Examination Survey Data
  • 11
    • 84908219488 scopus 로고
    • Statistical methods for assessing agreement between two methods of clinical measurement
    • PII S0140673686908378
    • Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 1986;1:307-10. (Pubitemid 16134762)
    • (1986) Lancet , vol.1 , Issue.8476 , pp. 307-310
    • Bland, J.M.1    Altman, D.G.2
  • 12
    • 0031894133 scopus 로고    scopus 로고
    • Calibration of the Computer Science and Applications, Inc. accelerometer
    • DOI 10.1097/00005768-199805000-00021
    • Freedson PS, Melanson E, Sirard J. Calibration of the Computer Science and Applications, Inc. accelerometer. Med Sci Sports Exerc 1998;30:777-81. (Pubitemid 28211005)
    • (1998) Medicine and Science in Sports and Exercise , vol.30 , Issue.5 , pp. 777-781
    • Freedson, P.S.1    Melanson, E.2    Sirard, J.3
  • 13
    • 34447268821 scopus 로고    scopus 로고
    • National Centre for Health Statistics, Centres for Disease Control and Prevention Hyattsville, MD: US Department of Health and Human Services (accessed 9 July 2010)
    • National Centre for Health Statistics, Centres for Disease Control and Prevention. Analytic and Reporting Guidelines: The National Health and Nutrition Examination Survey (NHANES). Hyattsville, MD: US Department of Health and Human Services, 2005. http://www.cdc.gov/nchs/data/nhanes/nhanes-03-04/nhanes- analytic-guidelines-dec-2005.pdf (accessed 9 July 2010).
    • (2005) Analytic and Reporting Guidelines: The National Health and Nutrition Examination Survey (NHANES)
  • 15
    • 28044434144 scopus 로고    scopus 로고
    • Conducting accelerometer-based activity assessments in field-based research
    • DOI 10.1249/01.mss.0000185657.86065.98
    • Trost SG, McIver KL, Pate RR. Conducting accelerom eter-based activity assessments in field-based research. Med Sci Sports Exerc 2005;37:S531-43. (Pubitemid 41691816)
    • (2005) Medicine and Science in Sports and Exercise , vol.37 , Issue.11 SUPPL.
    • Trost, S.G.1    Mciver, K.L.2    Pate, R.R.3
  • 16
    • 34547875078 scopus 로고    scopus 로고
    • Accelerometers and pedometers: Methodology and clinical application
    • DOI 10.1097/MCO.0b013e328285d883, PII 0007519720070900000006
    • Corder K, Brage S, Ekelund U. Accelerometers and pedometers: methodology and clinical application. Curr Opin Clin Nutr Metab Care 2007;10:597-603. (Pubitemid 47254721)
    • (2007) Current Opinion in Clinical Nutrition and Metabolic Care , vol.10 , Issue.5 , pp. 597-603
    • Corder, K.1    Brage, S.2    Ekelund, U.3
  • 17
    • 79952355838 scopus 로고    scopus 로고
    • Sedentary time and cardio-metabolic biomarkers in US adults: NHANES 2003-06
    • Healy GN, Matthews CE, Dunstan D, et al. Sedentary time and cardio-metabolic biomarkers in US adults: NHANES 2003-06. Eur Heart J 2011;32:590-7.
    • (2011) Eur Heart J , vol.32 , pp. 590-597
    • Healy, G.N.1    Matthews, C.E.2    Dunstan, D.3
  • 18
    • 78751648656 scopus 로고    scopus 로고
    • Validation of accelerometer wear and nonwear time classification algorithm
    • Choi L, Liu Z, Matthews CE, et al. Validation of accelerometer wear and nonwear time classification algorithm. Med Sci Sports Exerc 2011;43:357-64.
    • (2011) Med Sci Sports Exerc , vol.43 , pp. 357-364
    • Choi, L.1    Liu, Z.2    Matthews, C.E.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.