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We examined the commonality in the classification of physical activity status between various ostensibly similar physical activity recommendations for general health [1], [3] [6], [8].
We examined the commonality in the classification of physical activity status between twelve variations of physical activity recommendations for general health in ninety men aged 45 64 years.
One possible explanation may be that our classification of physical activity levels into high and low, might not fully capture the true effect of physical activity.
However, this instrument will be used for controlling the amount of physical activity along the study, and not for any classification of physical activity level.
The baseline physical activity questionnaire asked about usual frequency and duration of several types of recreational and household activities using a standardized classification of physical activity intensity (10).
With the aim of validating the described approach, a dataset for the analysis and classification of physical activity was obtained from PAMAP2, as mentioned above.
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Physical activity was estimated using a classification system of physical activity.
The accelerometer provides a measure of the frequency, intensity and duration of physical activity and allows classification of activity levels as sedentary, light, moderate and vigorous.
The accelerometer provides a measure of the frequency, intensity and duration of physical activity and allows classification of activity levels as sedentary, light, moderate-to-vigorous physical activity (MVPA).
This study aimed to address validity, reproducibility and user friendliness of three activity monitors available for measurement of physical activity and posture classification.
Previous studies examining types of physical activity have often used different classifications (26) or evaluated more specific outcomes (27), making direct comparison difficult.
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