Reliability and validity of the Mywellness Key physical activity monitor

John C Sieverdes1 Medical University of South Carolina, College of Nursing, Charleston, SCCorrespondence[email protected]

Eric E Wickel2 University of Tulsa, Exercise and Sport Science, Tulsa, OK

Gregory A Hand3 University of South Carolina, Department of Exercise Science, Division of Health Aspects of Physical Activity, Arnold School of Public Health, Columbia, SC, USA

Marco Bergamin4 University of Padova, Department of Medicine, Sports Medicine Division, Padova, Italy

Robert R Moran5 University of South Carolina, Department of Epidemiology and Biostatistics, Arnold School of Public Health, Columbia, SC, USA

Steven N Blair3 University of South Carolina, Department of Exercise Science, Division of Health Aspects of Physical Activity, Arnold School of Public Health, Columbia, SC, USA;5 University of South Carolina, Department of Epidemiology and Biostatistics, Arnold School of Public Health, Columbia, SC, USA

Pages 13-20 | Published online: 25 Jan 2013

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References

TroianoRPFreedsonPSPromises and pitfalls of emerging measures of physical activity and the environmentAm J Prev Med201038668268320494248
PubMed Web of Science ®Google Scholar
MatthewsCEWilcoxSHanbyCLEvaluation of a 12-week home-based walking intervention for breast cancer survivorsSupport Care Cancer200715220321117001492
PubMed Web of Science ®Google Scholar
PintoBMPapandonatosGDGoldsteinMGMarcusBHFarrellNHome-based physical activity intervention for colorectal cancer survivorsPsychooncology992011 [Epub ahead of print.]
Google Scholar
MarquezDXHoyemRFoggLBustamanteEEStaffilenoBWilburJPhysical activity of urban community-dwelling older Latino adultsJ Phys Act Health20118 Suppl 2S161S17021918229
PubMed Web of Science ®Google Scholar
Tudor-LockeCBrashearMMJohnsonWDKatzmarzykPTAccelerometer profiles of physical activity and inactivity in normal weight, overweight, and obese US men and womenInt J Behav Nutr Phys Act201076020682057
PubMed Web of Science ®Google Scholar
AbelMGHannonJCSellKLillieTConlinGAndersonDValidation of the Kenz Lifecorder EX and ActiGraph GT1M accelerometers for walking and running in adultsAppl Physiol Nutr Metab20083361155116419088773
PubMed Web of Science ®Google Scholar
BrageSWedderkoppNFranksPWAndersenLBFrobergKReexamination of validity and reliability of the CSA monitor in walking and runningMed Sci Sports Exerc20033581447145412900703
PubMed Web of Science ®Google Scholar
BrooksAGGunnSMWithersRTGoreCJPlummerJLPredicting walking METs and energy expenditure from speed or accelerometryMed Sci Sports Exerc20053771216122316015141
PubMed Web of Science ®Google Scholar
NicholsJFMorganCGChabotLESallisJFCalfasKJAssessment of physical activity with the Computer Science and Applications Inc, accelerometer: laboratory versus field validationRes Q Exerc Sport2000711364310763519
PubMed Web of Science ®Google Scholar
PambiancoGWingRRRobertsonRAccuracy and reliability of the Caltrac accelerometer for estimating energy expenditureMed Sci Sports Exerc19902268588622287266
PubMed Web of Science ®Google Scholar
WelkGJSchabenJAMorrowJRJrReliability of accelerometry-based activity monitors: a generalizability studyMed Sci Sports Exerc20043691637164515354049
PubMed Web of Science ®Google Scholar
NicholsJFMorganCGSarkinJASallisJFCalfasKJValidity, reliability, and calibration of the Tritrac accelerometer as a measure of physical activityMed Sci Sports Exerc199931690891210378921
PubMed Web of Science ®Google Scholar
HerrmannSDHartTLLeeCDAinsworthBEEvaluation of the MyWellness Key accelerometerBr J Sports Med201145210911319736173
PubMed Web of Science ®Google Scholar
BergaminMErmolaoASieverdesJCZaccariaMZanusoSValidation of the MyWellness Key in walking and running speedsJ Sports Sci Med2012115763
Web of Science ®Google Scholar
TayyariFSmithJOccupational Ergonomics: Principles and Applications1st edNew York, NYChapman & Hall1997
Google Scholar
American College of Sports MedicineACSM’s Guidelines for Exercise Testing and Prescription8th edPhiladelphia, PALippincott Williams & Wilkins2010
Google Scholar
GleserGCCronbachLJRajaratnamNGeneralizability of scores infuenced by multiple sources of variancePsychometrika19653043954185217607
PubMed Web of Science ®Google Scholar
BrennanRLGeneralizability TheoryNew York, NYSpringer2001
Google Scholar
AtkinsonGNevillAMStatistical methods for assessing measurement error (reliability) in variables relevant to sports medicineSports Med19982642172389820922
PubMed Web of Science ®Google Scholar
DowdaMPateRRSallisJFAgreement between student-reported and proxy-reported physical activity questionnairesPediatr Exerc Sci200719331031818019589
PubMed Web of Science ®Google Scholar
ChatburnRLEvaluation of instrument error and method agreementAANA J19966432612689095698
PubMedGoogle Scholar
BlandJMAltmanDGStatistical methods for assessing agreement between two methods of clinical measurementLancet1986184763073102868172
PubMed Web of Science ®Google Scholar
US Department of Health and Human Services2008 Physical Activity Guidelines for Americans2008 Available from: http://www.health.gov/paguidelines/guidelines/default.aspxAccessed October 1, 2012
Google Scholar
US Department of Health and Human ServicesDepartment of Health and Human Services. Physical Activity Guidelines Advisory Committee Report2008 Available from: http://www.health.gov/PAGuidelines/Report/Accessed October 1, 2012
Google Scholar
AinsworthBEHaskellWLLeonASCompendium of physical activities: classification of energy costs of human physical activitiesMed Sci Sports Exerc199325171808292105
PubMed Web of Science ®Google Scholar
GretebeckRJMontoyeHJVariability of some objective measures of physical activityMed Sci Sports Exerc19922410116711721435166
PubMed Web of Science ®Google Scholar
US Bureau of Labor StatisticsBLS Spotlight on Statistics: Sports and ExerciseMay2008 Available from: http://www.bls.gov/spotlight/2008/sports/pdf/sports_bls_spotlight.pdfAccessed February 15, 2012
Google Scholar
WickelEEWelkGJApplying generalizability theory to estimate habitual activity levelsMed Sci Sports Exerc20104281528153420139788
PubMed Web of Science ®Google Scholar

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