BACKGROUND: The purpose of this study was to examine the relationship between 2005-2006 National Health and Nutrition Examination Survey (NHANES) accelerometer-determined steps/day and activity counts/day, and between steps/day and estimates of nonwear time (as an indicator of the unmonitored day) and time spent in sedentary behaviors as well as a range of physical activity intensities. METHODS: Linear regression models were used to characterize the relationship between steps/day, activity counts/day, estimates of wear time, and intensity categories. RESULTS: 1781 males (mean age = 46.5 years) and 1963 females (mean age = 47.7 years) wore accelerometers 14.0 ± SEM0.06 hours/day. The relationship between steps/day and activity counts/day was positive and strong (R2 = .87). The relationship between steps/day and time spent in sedentary behaviors was inverse and moderate (R2 = .25). Stronger and positive relationships were apparent between steps/day and time in light (R2 = .69) and moderate (R2 = .63) intensity activities. There was no discernable relationship between steps/day and time spent in low or vigorous intensity activities or with wear time. CONCLUSIONS: Assessed by accelerometer, steps/day explains 87% of the variation in activity counts/day, 25% of the variation in time in sedentary behaviors, 69% of time in light intensity, and 63% of time in moderate intensity.
BACKGROUND: The purpose of this study was to examine the relationship between 2005-2006 National Health and Nutrition Examination Survey (NHANES) accelerometer-determined steps/day and activity counts/day, and between steps/day and estimates of nonwear time (as an indicator of the unmonitored day) and time spent in sedentary behaviors as well as a range of physical activity intensities. METHODS: Linear regression models were used to characterize the relationship between steps/day, activity counts/day, estimates of wear time, and intensity categories. RESULTS: 1781 males (mean age = 46.5 years) and 1963 females (mean age = 47.7 years) wore accelerometers 14.0 ± SEM0.06 hours/day. The relationship between steps/day and activity counts/day was positive and strong (R2 = .87). The relationship between steps/day and time spent in sedentary behaviors was inverse and moderate (R2 = .25). Stronger and positive relationships were apparent between steps/day and time in light (R2 = .69) and moderate (R2 = .63) intensity activities. There was no discernable relationship between steps/day and time spent in low or vigorous intensity activities or with wear time. CONCLUSIONS: Assessed by accelerometer, steps/day explains 87% of the variation in activity counts/day, 25% of the variation in time in sedentary behaviors, 69% of time in light intensity, and 63% of time in moderate intensity.
Authors: M P Corcoran; K K H Chui; D K White; K F Reid; D Kirn; M E Nelson; J M Sacheck; S C Folta; R A Fielding Journal: J Nutr Health Aging Date: 2016 Impact factor: 4.075
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Authors: Catrine Tudor-Locke; Cora L Craig; Yukitoshi Aoyagi; Rhonda C Bell; Karen A Croteau; Ilse De Bourdeaudhuij; Ben Ewald; Andrew W Gardner; Yoshiro Hatano; Lesley D Lutes; Sandra M Matsudo; Farah A Ramirez-Marrero; Laura Q Rogers; David A Rowe; Michael D Schmidt; Mark A Tully; Steven N Blair Journal: Int J Behav Nutr Phys Act Date: 2011-07-28 Impact factor: 6.457
Authors: Catrine Tudor-Locke; Cora L Craig; Wendy J Brown; Stacy A Clemes; Katrien De Cocker; Billie Giles-Corti; Yoshiro Hatano; Shigeru Inoue; Sandra M Matsudo; Nanette Mutrie; Jean-Michel Oppert; David A Rowe; Michael D Schmidt; Grant M Schofield; John C Spence; Pedro J Teixeira; Mark A Tully; Steven N Blair Journal: Int J Behav Nutr Phys Act Date: 2011-07-28 Impact factor: 6.457
Authors: Serene S Paul; Anne Tiedemann; Leanne M Hassett; Elisabeth Ramsay; Catherine Kirkham; Sakina Chagpar; Catherine Sherrington Journal: BMJ Open Sport Exerc Med Date: 2015-07-08