Anthony Sucec - Academia.edu (original) (raw)
Papers by Anthony Sucec
Medicine & Science in Sports & Exercise, 1996
Medicine & Science in Sports & Exercise, 2006
Medicine & Science in Sports & Exercise, 2015
Step cadence has been proposed as a method to estimate activity intensity using pedometers, howev... more Step cadence has been proposed as a method to estimate activity intensity using pedometers, however, previous studies have only investigated step cadence during walking and running. Thus, ambulatory step cadence may not reflect the intensity of other commonly performed intermittent physical activities (PA). PURPOSE: The purpose of this study was to compare step. min-1 cut-points (S-CP) for estimating light (LPA), moderate (MPA), and vigorous (VPA) PA to indirect calorimetry during 18 structured PA and 6-hrs of free-living measurement. METHODS: Sixty-eight participants (mean age, 39.5±13.0 yr) completed six structured activities (from a list of 18) for 10 min each. A separate group of 32 participants (age, 36.8±11.4 yr) were monitored for 6-hrs of free-living activity. Step data were collected with a StepWatch, positioned on the right ankle, and measured METs were obtained using a Cosmed K4b 2. StepWatch step. min-1 values were used to predict activity intensity using the Tudor-Locke gender specific cut-points (males, LPA <96; MPA 96-124; VPA >125 step. min-1 ; females, LPA <107; MPA 107-135; VPA >136 step. min-1). Kappa statistics were used to assess agreement between measured and estimated intensity classification of the structured PA. Paired t-tests were used to compare measured and predicted time spent in LPA, MPA, and VPA during the 6-hr measurement. RESULTS: The S-CP had poor to fair agreement with measured intensity during the structured activities (Kappa=0.209, P<0.001); classification accuracy of 98.2% (LPA), 32.0% (MPA), and 1.3% (VPA). For walking and running, the S-CP classified LPA and MVPA intensity correctly 93% of the time, but non-walking activities were only classified 55.8% of the time. For the 6-hr measurement participants spent, on average, 277.7±53.3 min in LPA, 44.3±49.9 min in MPA, and 4.5±11.8 min in VPA. The S-CP overestimated time spent in LPA by 39.1±52.9 min and underestimated time spent in MPA by 34.6±47.1 min (P<0.05); however, it was not different from time spent in VPA (P>0.05). CONCLUSION: S-CP based on walking activity work well for classifying the intensity of walking activity, but do not work well predicting non-walking activity intensity. Caution should be used when applying S-CP to predict activity intensity in free-living settings.
Research Quarterly. American Association for Health, Physical Education and Recreation, 1967
Medicine & Science in Sports & Exercise, 2015
Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 1995
The Comprehensive Handbook of Behavioral Medicine, 1980
The great German poet and biologist, Goethe, wrote “What you can do or dream you can, begin it, f... more The great German poet and biologist, Goethe, wrote “What you can do or dream you can, begin it, for boldness has genius, magic and power in it.” In actual performance, human capacities probably far exceed what an individual imagines or dreams his physical and/or mental powers to be. And, while absolute limits to human potential are obvious (for example, those imposed by morphology of the species), cumulative evidence in the relatively new field of exercise physiology suggests that the limits of performance are more psychological in nature than physiological.
Research Quarterly for Exercise and Sport, 1990
Military Psychology, 1997
Medicine & Science in Sports & Exercise, 2009
Medicine & Science in Sports & Exercise, 2007
Medicine & Science in Sports & Exercise, 1996
Medicine & Science in Sports & Exercise, 2006
Medicine & Science in Sports & Exercise, 2015
Step cadence has been proposed as a method to estimate activity intensity using pedometers, howev... more Step cadence has been proposed as a method to estimate activity intensity using pedometers, however, previous studies have only investigated step cadence during walking and running. Thus, ambulatory step cadence may not reflect the intensity of other commonly performed intermittent physical activities (PA). PURPOSE: The purpose of this study was to compare step. min-1 cut-points (S-CP) for estimating light (LPA), moderate (MPA), and vigorous (VPA) PA to indirect calorimetry during 18 structured PA and 6-hrs of free-living measurement. METHODS: Sixty-eight participants (mean age, 39.5±13.0 yr) completed six structured activities (from a list of 18) for 10 min each. A separate group of 32 participants (age, 36.8±11.4 yr) were monitored for 6-hrs of free-living activity. Step data were collected with a StepWatch, positioned on the right ankle, and measured METs were obtained using a Cosmed K4b 2. StepWatch step. min-1 values were used to predict activity intensity using the Tudor-Locke gender specific cut-points (males, LPA <96; MPA 96-124; VPA >125 step. min-1 ; females, LPA <107; MPA 107-135; VPA >136 step. min-1). Kappa statistics were used to assess agreement between measured and estimated intensity classification of the structured PA. Paired t-tests were used to compare measured and predicted time spent in LPA, MPA, and VPA during the 6-hr measurement. RESULTS: The S-CP had poor to fair agreement with measured intensity during the structured activities (Kappa=0.209, P<0.001); classification accuracy of 98.2% (LPA), 32.0% (MPA), and 1.3% (VPA). For walking and running, the S-CP classified LPA and MVPA intensity correctly 93% of the time, but non-walking activities were only classified 55.8% of the time. For the 6-hr measurement participants spent, on average, 277.7±53.3 min in LPA, 44.3±49.9 min in MPA, and 4.5±11.8 min in VPA. The S-CP overestimated time spent in LPA by 39.1±52.9 min and underestimated time spent in MPA by 34.6±47.1 min (P<0.05); however, it was not different from time spent in VPA (P>0.05). CONCLUSION: S-CP based on walking activity work well for classifying the intensity of walking activity, but do not work well predicting non-walking activity intensity. Caution should be used when applying S-CP to predict activity intensity in free-living settings.
Research Quarterly. American Association for Health, Physical Education and Recreation, 1967
Medicine & Science in Sports & Exercise, 2015
Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 1995
The Comprehensive Handbook of Behavioral Medicine, 1980
The great German poet and biologist, Goethe, wrote “What you can do or dream you can, begin it, f... more The great German poet and biologist, Goethe, wrote “What you can do or dream you can, begin it, for boldness has genius, magic and power in it.” In actual performance, human capacities probably far exceed what an individual imagines or dreams his physical and/or mental powers to be. And, while absolute limits to human potential are obvious (for example, those imposed by morphology of the species), cumulative evidence in the relatively new field of exercise physiology suggests that the limits of performance are more psychological in nature than physiological.
Research Quarterly for Exercise and Sport, 1990
Military Psychology, 1997
Medicine & Science in Sports & Exercise, 2009
Medicine & Science in Sports & Exercise, 2007