Patty Freedson to Young Adult
This is a "connection" page, showing publications Patty Freedson has written about Young Adult.
Connection Strength
0.927
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Lyden K, Keadle SK, Staudenmayer J, Freedson PS. The activPALTM Accurately Classifies Activity Intensity Categories in Healthy Adults. Med Sci Sports Exerc. 2017 05; 49(5):1022-1028.
Score: 0.066
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Staudenmayer J, He S, Hickey A, Sasaki J, Freedson P. Methods to estimate aspects of physical activity and sedentary behavior from high-frequency wrist accelerometer measurements. J Appl Physiol (1985). 2015 Aug 15; 119(4):396-403.
Score: 0.058
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Lyden K, Keadle SK, Staudenmayer J, Braun B, Freedson PS. Discrete features of sedentary behavior impact cardiometabolic risk factors. Med Sci Sports Exerc. 2015 May; 47(5):1079-86.
Score: 0.057
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Sasaki JE, Hickey A, Mavilia M, Tedesco J, John D, Kozey Keadle S, Freedson PS. Validation of the Fitbit wireless activity tracker for prediction of energy expenditure. J Phys Act Health. 2015 Feb; 12(2):149-54.
Score: 0.053
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John D, Sasaki J, Hickey A, Mavilia M, Freedson PS. ActiGraph? activity monitors: "the firmware effect". Med Sci Sports Exerc. 2014 Apr; 46(4):834-9.
Score: 0.053
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Lyden K, Keadle SK, Staudenmayer J, Freedson PS. A method to estimate free-living active and sedentary behavior from an accelerometer. Med Sci Sports Exerc. 2014 Feb; 46(2):386-97.
Score: 0.053
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John D, Sasaki J, Staudenmayer J, Mavilia M, Freedson PS. Comparison of raw acceleration from the GENEA and ActiGraph? GT3X+ activity monitors. Sensors (Basel). 2013 Oct 30; 13(11):14754-63.
Score: 0.052
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Lyden K, Kozey Keadle SL, Staudenmayer JW, Freedson PS. Validity of two wearable monitors to estimate breaks from sedentary time. Med Sci Sports Exerc. 2012 Nov; 44(11):2243-52.
Score: 0.048
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Liu S, Gao R, He Q, Staudenmayer J, Freedson P. Improved regression models for ventilation estimation based on chest and abdomen movements. Physiol Meas. 2012 Jan; 33(1):79-93.
Score: 0.046
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Sasaki JE, John D, Freedson PS. Validation and comparison of ActiGraph activity monitors. J Sci Med Sport. 2011 Sep; 14(5):411-6.
Score: 0.044
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Hasson RE, Howe CA, Jones BL, Freedson PS. Accuracy of four resting metabolic rate prediction equations: effects of sex, body mass index, age, and race/ethnicity. J Sci Med Sport. 2011 Jul; 14(4):344-51.
Score: 0.043
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Lyden K, Kozey SL, Staudenmeyer JW, Freedson PS. A comprehensive evaluation of commonly used accelerometer energy expenditure and MET prediction equations. Eur J Appl Physiol. 2011 Feb; 111(2):187-201.
Score: 0.042
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Kozey S, Lyden K, Staudenmayer J, Freedson P. Errors in MET estimates of physical activities using 3.5 ml x kg(-1) x min(-1) as the baseline oxygen consumption. J Phys Act Health. 2010 Jul; 7(4):508-16.
Score: 0.041
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Kozey SL, Staudenmayer JW, Troiano RP, Freedson PS. Comparison of the ActiGraph 7164 and the ActiGraph GT1M during self-paced locomotion. Med Sci Sports Exerc. 2010 May; 42(5):971-6.
Score: 0.041
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Howe CA, Staudenmayer JW, Freedson PS. Accelerometer prediction of energy expenditure: vector magnitude versus vertical axis. Med Sci Sports Exerc. 2009 Dec; 41(12):2199-206.
Score: 0.039
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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 (1985). 2009 Oct; 107(4):1300-7.
Score: 0.038
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Hasson RE, Haller J, Pober DM, Staudenmayer J, Freedson PS. Validity of the Omron HJ-112 pedometer during treadmill walking. Med Sci Sports Exerc. 2009 Apr; 41(4):805-9.
Score: 0.038
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Marcotte RT, Petrucci GJ, Cox MF, Freedson PS, Staudenmayer JW, Sirard JR. Estimating Sedentary Time from a Hip- and Wrist-Worn Accelerometer. Med Sci Sports Exerc. 2020 01; 52(1):225-232.
Score: 0.020
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Arguello D, Andersen K, Morton A, Freedson PS, Intille SS, John D. Validity of proximity sensor-based wear-time detection using the ActiGraph GT9X. J Sports Sci. 2018 Jul; 36(13):1502-1507.
Score: 0.017
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Kozey Keadle S, Lyden K, Hickey A, Ray EL, Fowke JH, Freedson PS, Matthews CE. Validation of a previous day recall for measuring the location and purpose of active and sedentary behaviors compared to direct observation. Int J Behav Nutr Phys Act. 2014 Feb 03; 11:12.
Score: 0.013
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Welch WA, Bassett DR, Thompson DL, Freedson PS, Staudenmayer JW, John D, Steeves JA, Conger SA, Ceaser T, Howe CA, Sasaki JE, Fitzhugh EC. Classification accuracy of the wrist-worn gravity estimator of normal everyday activity accelerometer. Med Sci Sports Exerc. 2013 Oct; 45(10):2012-9.
Score: 0.013
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Matthews CE, Keadle SK, Sampson J, Lyden K, Bowles HR, Moore SC, Libertine A, Freedson PS, Fowke JH. Validation of a previous-day recall measure of active and sedentary behaviors. Med Sci Sports Exerc. 2013 Aug; 45(8):1629-38.
Score: 0.013
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Gollenberg AL, Pekow P, Bertone-Johnson ER, Freedson PS, Markenson G, Chasan-Taber L. Physical activity and risk of small-for-gestational-age birth among predominantly Puerto Rican women. Matern Child Health J. 2011 Jan; 15(1):49-59.
Score: 0.011
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Hasson RE, Granados K, Chipkin S, Freedson PS, Braun B. Effects of a single exercise bout on insulin sensitivity in black and white individuals. J Clin Endocrinol Metab. 2010 Oct; 95(10):E219-23.
Score: 0.010
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Gollenberg AL, Pekow P, Bertone-Johnson ER, Freedson PS, Markenson G, Chasan-Taber L. Sedentary behaviors and abnormal glucose tolerance among pregnant Latina women. Med Sci Sports Exerc. 2010 Jun; 42(6):1079-85.
Score: 0.010
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Hasson RE, Freedson PS, Braun B. Use of continuous glucose monitoring in normoglycemic, insulin-resistant women. Eur J Appl Physiol. 2010 Apr; 108(6):1181-7.
Score: 0.010