Relative validity of 3 accelerometer models for estimating energy expenditure during light activity.
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Linda Tapsell | L. Tapsell | Sze-Yen Tan | M. Batterham | Marijka Batterham | A. Wetten | Sze Yen Tan | Alexander Allan Wetten
[1] Stephen J. Ganocy,et al. Bayesian Statistical Modelling , 2002, Technometrics.
[2] Philip J Schluter,et al. A multivariate hierarchical Bayesian approach to measuring agreement in repeated measurement method comparison studies , 2009, BMC medical research methodology.
[3] B. Ainsworth,et al. Patterns of accelerometer-derived estimates of inactivity in middle-age women. , 2012, Medicine and science in sports and exercise.
[4] Mark G Abel,et al. Validation of the Kenz Lifecorder EX and ActiGraph GT1M accelerometers for walking and running in adults. , 2008, Applied physiology, nutrition, and metabolism = Physiologie appliquee, nutrition et metabolisme.
[5] S. Anderssen,et al. Accelerometer-determined physical activity in adults and older people. , 2012, Medicine and science in sports and exercise.
[6] K R Westerterp,et al. A dual-respiration chamber system with automated calibration. , 1997, Journal of applied physiology.
[7] Kate Lyden,et al. Accelerometer output and MET values of common physical activities. , 2010, Medicine and science in sports and exercise.
[8] Validity of resting energy expenditure estimated by an activity monitor compared to indirect calorimetry , 2009, British Journal of Nutrition.
[9] C. Caspersen,et al. Physical activity, exercise, and physical fitness: definitions and distinctions for health-related research. , 1985, Public health reports.
[10] P S Freedson,et al. Calibration of the Computer Science and Applications, Inc. accelerometer. , 1998, Medicine and science in sports and exercise.
[11] J. B. Weir. New methods for calculating metabolic rate with special reference to protein metabolism , 1949, The Journal of physiology.
[12] Paige C. Morgan,et al. A systematic review of the validity and reliability of sedentary behaviour measures used with children and adolescents , 2011, Obesity reviews : an official journal of the International Association for the Study of Obesity.
[13] Kong Y Chen,et al. Comparing the performance of three generations of ActiGraph accelerometers. , 2008, Journal of applied physiology.
[14] S. Blair,et al. A comparative evaluation of three accelerometry-based physical activity monitors. , 2000, Medicine and science in sports and exercise.
[15] W. Mechelen,et al. Concurrent validity of the PAM accelerometer relative to the MTI Actigraph using oxygen consumption as a reference , 2008, Scandinavian journal of medicine & science in sports.
[16] Daniel S. Laferriere,et al. Reliability of RT3 accelerometers among overweight and obese adults. , 2009, Medicine and science in sports and exercise.
[17] K. Westerterp,et al. Physical Activity Assessment With Accelerometers: An Evaluation Against Doubly Labeled Water , 2007, Obesity.
[18] Leena Choi,et al. Validity of Physical Activity Intensity Predictions by ActiGraph, Actical, and RT3 Accelerometers , 2008, Obesity.
[19] J M Jakicic,et al. The accuracy of the TriTrac-R3D accelerometer to estimate energy expenditure. , 1999, Medicine and science in sports and exercise.
[20] J. Shaw,et al. Objectively Measured Sedentary Time, Physical Activity, and Metabolic Risk , 2007, Diabetes Care.
[21] J E Frijters,et al. A short questionnaire for the measurement of habitual physical activity in epidemiological studies. , 1982, The American journal of clinical nutrition.
[22] Margaret L Fruin,et al. Validity of a multi-sensor armband in estimating rest and exercise energy expenditure. , 2004, Medicine and science in sports and exercise.
[23] John W Staudenmayer,et al. Accelerometer prediction of energy expenditure: vector magnitude versus vertical axis. , 2009, Medicine and science in sports and exercise.
[24] Scott E Crouter,et al. Refined two-regression model for the ActiGraph accelerometer. , 2010, Medicine and science in sports and exercise.
[25] D L Smith,et al. Comparison of accelerometers with oxygen consumption in older adults during exercise. , 1999, Medicine and science in sports and exercise.
[26] M. Sun,et al. Improving energy expenditure estimation by using a triaxial accelerometer. , 1997, Journal of applied physiology.
[27] A. Astrup,et al. Obesity : Preventing and managing the global epidemic , 2000 .
[28] Schofield Wn,et al. Predicting basal metabolic rate, new standards and review of previous work , 1985 .
[29] Yves Schutz,et al. The use of uniaxial accelerometry for the assessment of physical-activity-related energy expenditure: a validation study against whole-body indirect calorimetry. , 2004, The British journal of nutrition.
[30] Andrew Thomas,et al. The BUGS project: Evolution, critique and future directions , 2009, Statistics in medicine.
[31] L. Tapsell,et al. Relative validity of a diet history interview in an intervention trial manipulating dietary fat in the management of Type II diabetes mellitus. , 2003, Preventive medicine.
[32] Scott E Crouter,et al. A novel method for using accelerometer data to predict energy expenditure. , 2006, Journal of applied physiology.
[33] Scott E Crouter,et al. Validity of ActiGraph 2-regression model, Matthews cut-points, and NHANES cut-points for assessing free-living physical activity. , 2013, Journal of physical activity & health.
[34] D. Bassett,et al. The technology of accelerometry-based activity monitors: current and future. , 2005, Medicine and science in sports and exercise.
[35] D. Bassett. Validity and reliability issues in objective monitoring of physical activity. , 2000, Research quarterly for exercise and sport.
[36] John Staudenmayer,et al. Statistical considerations in the analysis of accelerometry-based activity monitor data. , 2012, Medicine and science in sports and exercise.
[37] Gregory J Welk,et al. Validation of the SenseWear Pro Armband algorithms in children. , 2009, Medicine and science in sports and exercise.
[38] J. D. Janssen,et al. A triaxial accelerometer and portable data processing unit for the assessment of daily physical activity , 1997, IEEE Transactions on Biomedical Engineering.
[39] Shigeho Tanaka,et al. Evaluation of Low‐Intensity Physical Activity by Triaxial Accelerometry , 2007, Obesity.
[40] D. Altman,et al. STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT , 1986, The Lancet.
[41] A. Goris,et al. Detection of type, duration, and intensity of physical activity using an accelerometer. , 2009, Medicine and science in sports and exercise.
[42] Stewart G Trost,et al. Conducting accelerometer-based activity assessments in field-based research. , 2005, Medicine and science in sports and exercise.
[43] Kelly R Evenson,et al. Accelerometer use in physical activity: best practices and research recommendations. , 2005, Medicine and science in sports and exercise.
[44] Jenny Ziviani,et al. Walking to school: incidental physical activity in the daily occupations of Australian children. , 2004, Occupational therapy international.
[45] P. Clifton,et al. High‐protein meals may benefit fat oxidation and energy expenditure in individuals with higher body fat , 2008 .
[46] D. Altman,et al. Measuring agreement in method comparison studies , 1999, Statistical methods in medical research.
[47] K. Campbell,et al. Field evaluation of energy expenditure in women using Tritrac accelerometers. , 2002, Medicine and science in sports and exercise.
[48] D G Altman,et al. Bayesians and frequentists , 1998, BMJ.