Dataset for 'Exercise snacking to improve muscle function in healthy older adults: A pilot study'

Dataset

Description

This dataset contains baseline participant characteristics (age, sex, height, weight, Short Physical Performance Battery score, 60 second sit-to-stand score, habitual physical activity level (provided as daily energy expenditure/basal metabolic rate and time spent in age determined physical activity thresholds), and dietary intake of carbohydrate, protein, and fat, ant total energy intake). Pre- and post-intervention (28-days of exercise snacking or control) data is provided for the following variables: physical function characteristic (60 second sit-to-stand score and associated rating of perceived exertion for the test, and velocity, force, and power variables of leg pressing performance), anthropometric characteristics (calf and thigh muscle cross-sectional areas, and total lean mass, leg lean mass, and percentage body fat), and physical activity level and daily energy intake with total carbohydrate, fat, and protein intake relative to body mass. This dataset is to accompany the manuscript 'Exercise snacking to improve muscle function in healthy older adults: A pilot study' submitted for publication to the Journal of Aging Research.
Date made available3 Oct 2019
PublisherUniversity of Bath

Cite this

Perkin, O. (Creator), McGuigan, P. (Creator), Stokes, K. (Creator) (3 Oct 2019). Dataset for 'Exercise snacking to improve muscle function in healthy older adults: A pilot study'. University of Bath. 10.15125/BATH-00701