Patty Freedson to Energy Metabolism
This is a "connection" page, showing publications Patty Freedson has written about Energy Metabolism.
Connection Strength
4.380
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Sasaki JE, Howe C, John D, Hickey A, Steeves J, Conger S, Lyden K, Kozey-Keadle S, Burkart S, Alhassan S, Bassett D, Freedson PS. Energy Expenditure for 70 Activities in Children and Adolescents. J Phys Act Health. 2016 06; 13(6 Suppl 1):S24-8.
Score: 0.414
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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: 0.357
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Liu S, Gao RX, Freedson PS. Computational methods for estimating energy expenditure in human physical activities. Med Sci Sports Exerc. 2012 Nov; 44(11):2138-46.
Score: 0.323
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Alhassan S, Lyden K, Howe C, Kozey Keadle S, Nwaokelemeh O, Freedson PS. Accuracy of accelerometer regression models in predicting energy expenditure and METs in children and youth. Pediatr Exerc Sci. 2012 Nov; 24(4):519-36.
Score: 0.323
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Liu S, Gao RX, John D, Staudenmayer JW, Freedson PS. Multisensor data fusion for physical activity assessment. IEEE Trans Biomed Eng. 2012 Mar; 59(3):687-96.
Score: 0.303
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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: 0.279
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Kozey SL, Lyden K, Howe CA, Staudenmayer JW, Freedson PS. Accelerometer output and MET values of common physical activities. Med Sci Sports Exerc. 2010 Sep; 42(9):1776-84.
Score: 0.278
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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: 0.264
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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: 0.258
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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 Sep; 32(9 Suppl):S442-9.
Score: 0.139
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Sirard JR, Melanson EL, Li L, Freedson PS. Field evaluation of the Computer Science and Applications, Inc. physical activity monitor. Med Sci Sports Exerc. 2000 Mar; 32(3):695-700.
Score: 0.134
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Freedson PS, Melanson E, Sirard J. Calibration of the Computer Science and Applications, Inc. accelerometer. Med Sci Sports Exerc. 1998 May; 30(5):777-81.
Score: 0.118
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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: 0.110
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Melanson EL, Freedson PS. Physical activity assessment: a review of methods. Crit Rev Food Sci Nutr. 1996 May; 36(5):385-96.
Score: 0.103
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Matthews CE, Freedson PS. Field trial of a three-dimensional activity monitor: comparison with self report. Med Sci Sports Exerc. 1995 Jul; 27(7):1071-8.
Score: 0.097
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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: 0.097
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Melanson EL, Freedson PS. Validity of the Computer Science and Applications, Inc. (CSA) activity monitor. Med Sci Sports Exerc. 1995 Jun; 27(6):934-40.
Score: 0.097
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Lyden K, Keadle SK, Staudenmayer J, Freedson P, Alhassan S. Energy cost of common activities in children and adolescents. J Phys Act Health. 2013 Jan; 10(1):62-9.
Score: 0.077
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Sallis JF, Buono MJ, Freedson PS. Bias in estimating caloric expenditure from physical activity in children. Implications for epidemiological studies. Sports Med. 1991 Apr; 11(4):203-9.
Score: 0.072
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Howe CA, Freedson PS, Feldman HA, Osganian SK. Energy expenditure and enjoyment of common children's games in a simulated free-play environment. J Pediatr. 2010 Dec; 157(6):936-942.e1-2.
Score: 0.069
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Freedson PS, Brendley K, Ainsworth BE, Kohl HW, Leslie E, Owen N. New techniques and issues in assessing walking behavior and its contexts. Med Sci Sports Exerc. 2008 Jul; 40(7 Suppl):S574-83.
Score: 0.060
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Chasan-Taber L, Freedson PS, Roberts DE, Schmidt MD, Fragala MS. Energy expenditure of selected household activities during pregnancy. Res Q Exerc Sport. 2007 Mar; 78(2):133-7.
Score: 0.054
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Black SE, Mitchell E, Freedson PS, Chipkin SR, Braun B. Improved insulin action following short-term exercise training: role of energy and carbohydrate balance. J Appl Physiol (1985). 2005 Dec; 99(6):2285-93.
Score: 0.049
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Chasan-Taber L, Schmidt MD, Roberts DE, Hosmer D, Markenson G, Freedson PS. Development and validation of a Pregnancy Physical Activity Questionnaire. Med Sci Sports Exerc. 2004 Oct; 36(10):1750-60.
Score: 0.046
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Freedson PS, Katch VL, Gilliam TB, MacConnie S. Energy expenditure in prepubescent children: influence of sex and age. Am J Clin Nutr. 1981 Sep; 34(9):1827-30.
Score: 0.037
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Sirard JR, Masteller B, Freedson PS, Mendoza A, Hickey A. Youth Oriented Activity Trackers: Comprehensive Laboratory- and Field-Based Validation. J Med Internet Res. 2017 07 19; 19(7):e250.
Score: 0.028
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Pereira MA, Freedson PS. Intraindividual variation of running economy in highly trained and moderately trained males. Int J Sports Med. 1997 Feb; 18(2):118-24.
Score: 0.027
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Melanson EL, Freedson PS, Hendelman D, Debold E. Reliability and validity of a portable metabolic measurement system. Can J Appl Physiol. 1996 Apr; 21(2):109-19.
Score: 0.026
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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: 0.022
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Freedson PS. Physical activity among children and youth. Can J Sport Sci. 1992 Dec; 17(4):280-3.
Score: 0.020
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Widrick JJ, Freedson PS, Hamill J. Effect of internal work on the calculation of optimal pedaling rates. Med Sci Sports Exerc. 1992 Mar; 24(3):376-82.
Score: 0.019
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Freedson PS, Evenson S. Familial aggregation in physical activity. Res Q Exerc Sport. 1991 Dec; 62(4):384-9.
Score: 0.019
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Matthews CE, Chen KY, Freedson PS, Buchowski MS, Beech BM, Pate RR, Troiano RP. Amount of time spent in sedentary behaviors in the United States, 2003-2004. Am J Epidemiol. 2008 Apr 01; 167(7):875-81.
Score: 0.015
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Dowda M, Pate RR, Sallis JF, Freedson PS, Taylor WC, Sirard JR, Trost SG. Agreement between student-reported and proxy-reported physical activity questionnaires. Pediatr Exerc Sci. 2007 Aug; 19(3):310-8.
Score: 0.014
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Hasson RE, Freedson PS, Braun B. Postexercise insulin action in African-American women. J Natl Med Assoc. 2006 Nov; 98(11):1832-9.
Score: 0.013
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Matthews CE, Freedson PS, Hebert JR, Stanek EJ, Merriam PA, Rosal MC, Ebbeling CB, Ockene IS. Seasonal variation in household, occupational, and leisure time physical activity: longitudinal analyses from the seasonal variation of blood cholesterol study. Am J Epidemiol. 2001 Jan 15; 153(2):172-83.
Score: 0.009
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Jensen RL, Freedson PS, Hamill J. The prediction of power and efficiency during near-maximal rowing. Eur J Appl Physiol Occup Physiol. 1996; 73(1-2):98-104.
Score: 0.006
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Katch FI, Freedson PS, Jones CA. Evaluation of acute cardiorespiratory responses to hydraulic resistance exercise. Med Sci Sports Exerc. 1985 Feb; 17(1):168-73.
Score: 0.003