BACKGROUND: The purpose of this study was to compare the 2006 and 2010 Crouter algorithms for the ActiGraph accelerometer and the NHANES and Matthews cut-points, to indirect calorimetry during a 6-hr free-living measurement period. METHODS: Twenty-nine participants (mean ± SD; age, 38 ± 11.7 yrs; BMI, 25.0 ± 4.6 kg·m-2) were monitored for 6 hours while at work or during their leisure time. Physical activity (PA) data were collected using an ActiGraph GT1M and energy expenditure (METs) was measured using a Cosmed K4b2. ActiGraph prediction equations were compared with the Cosmed for METs and time spent in sedentary behaviors, light PA (LPA), moderate PA (MPA), and vigorous PA (VPA). RESULTS: The 2010 Crouter algorithm overestimated time spent in LPA, MPA, and VPA by 9.0%-44.5% and underestimated sedentary time by 20.8%. The NHANES cut-points overestimated sedentary time and LPA by 8.3%-9.9% and underestimated MPA and VPA by 50.4%-56.7%. The Matthews cut-points overestimated sedentary time (9.9%) and MPA (33.4%) and underestimated LPA (25.7%) and VPA (50.1%). The 2006 Crouter algorithm was within 1.8% of measured sedentary time; however, mean errors ranged from 34.4%-163.1% for LPA, MPA, and VPA. CONCLUSION: Of the ActiGraph prediction methods examined, none of them was clearly superior for estimating free-living PA compared with indirect calorimetry.
BACKGROUND: The purpose of this study was to compare the 2006 and 2010 Crouter algorithms for the ActiGraph accelerometer and the NHANES and Matthews cut-points, to indirect calorimetry during a 6-hr free-living measurement period. METHODS: Twenty-nine participants (mean ± SD; age, 38 ± 11.7 yrs; BMI, 25.0 ± 4.6 kg·m-2) were monitored for 6 hours while at work or during their leisure time. Physical activity (PA) data were collected using an ActiGraph GT1M and energy expenditure (METs) was measured using a Cosmed K4b2. ActiGraph prediction equations were compared with the Cosmed for METs and time spent in sedentary behaviors, light PA (LPA), moderate PA (MPA), and vigorous PA (VPA). RESULTS: The 2010 Crouter algorithm overestimated time spent in LPA, MPA, and VPA by 9.0%-44.5% and underestimated sedentary time by 20.8%. The NHANES cut-points overestimated sedentary time and LPA by 8.3%-9.9% and underestimated MPA and VPA by 50.4%-56.7%. The Matthews cut-points overestimated sedentary time (9.9%) and MPA (33.4%) and underestimated LPA (25.7%) and VPA (50.1%). The 2006 Crouter algorithm was within 1.8% of measured sedentary time; however, mean errors ranged from 34.4%-163.1% for LPA, MPA, and VPA. CONCLUSION: Of the ActiGraph prediction methods examined, none of them was clearly superior for estimating free-living PA compared with indirect calorimetry.
Authors: Charles E Matthews; Kong Y Chen; Patty S Freedson; Maciej S Buchowski; Bettina M Beech; Russell R Pate; Richard P Troiano Journal: Am J Epidemiol Date: 2008-02-25 Impact factor: 4.897
Authors: Megan P Rothney; Robert J Brychta; Natalie N Meade; Kong Y Chen; Maciej S Buchowski Journal: Med Sci Sports Exerc Date: 2010-09 Impact factor: 5.411
Authors: Richard P Troiano; David Berrigan; Kevin W Dodd; Louise C Mâsse; Timothy Tilert; Margaret McDowell Journal: Med Sci Sports Exerc Date: 2008-01 Impact factor: 5.411
Authors: Genevieve N Healy; David W Dunstan; Jo Salmon; Jonathan E Shaw; Paul Z Zimmet; Neville Owen Journal: Med Sci Sports Exerc Date: 2008-04 Impact factor: 5.411
Authors: Shao-Hsien Liu; Charles B Eaton; Jeffrey B Driban; Timothy E McAlindon; Kate L Lapane Journal: Rheumatol Int Date: 2016-07-19 Impact factor: 2.631
Authors: Steven P Hooker; Brent Hutto; Wenfei Zhu; Steven N Blair; Natalie Colabianchi; John E Vena; David Rhodes; Virginia J Howard Journal: J Sci Med Sport Date: 2015-04-17 Impact factor: 4.319
Authors: Charles E Matthews; Sarah Kozey Keadle; Richard P Troiano; Lisa Kahle; Annemarie Koster; Robert Brychta; Dane Van Domelen; Paolo Caserotti; Kong Y Chen; Tamara B Harris; David Berrigan Journal: Am J Clin Nutr Date: 2016-10-05 Impact factor: 7.045
Authors: Katelyn M Holliday; Annie Green Howard; Michael Emch; Daniel A Rodríguez; Wayne D Rosamond; Kelly R Evenson Journal: Med Sci Sports Exerc Date: 2017-05 Impact factor: 5.411
Authors: Kosuke Tamura; Jeffrey S Wilson; Keith Goldfeld; Robin C Puett; David B Klenosky; William A Harper; Philip J Troped Journal: Res Q Exerc Sport Date: 2019-06-14 Impact factor: 2.500
Authors: Jessica Gorzelitz; Paul E Peppard; Kristen Malecki; Keith Gennuso; F Javier Nieto; Lisa Cadmus-Bertram Journal: Ann Epidemiol Date: 2018-03-30 Impact factor: 3.797