Kinesiology & Health Science
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Browsing Kinesiology & Health Science by Subject "Accelerometers"
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Item Open Access Accelerometer Measured Physical Activity and Obesity(2017-07-26) Raiber, Lilian; Kuk, JenniferThe use of accelerometers to objectively measure physical activity (PA) volume does not account for inter-individual differences in body mass or cardiorespiratory fitness among adults, which may contribute to the commonly observed discrepancies between objective and subjective measures of PA. Using a sample of 6149 adults from the National Health and Nutrition Survey, the first study demonstrated that for given accelerometer count, individuals with overweight and obesity had a greater rate of energy expenditure than normal weight, and that accounting for differences in energy expenditure due to body mass reduced discrepancies between objective and subjective measures of PA. The second study demonstrated that current accelerometer threshold values used to measure durations of PA may not correspond to the appropriate respective relative intensity of PA after accounting for maximal oxygen consumption by sex and body mass index categories in 828 adults. These results suggest that the established accelerometer thresholds may bias measures of objective PA for individuals with obesity and this may contribute to the discrepancies seen between objective and subjective measures of PA volume.Item Open Access Cross - Associations Between Physical Activity and Sedentary Time on Metabolic Health: A Comparative Assessment Using Self-Reported and Objectively Measured Activity(2015-08-28) Thakkar, Niels Ajit; Ardern, ChrisPhysical activity and sedentary time have distinct physiologic and metabolic effects, but little is known about their joint associations. Data from the Canadian Health Measures Survey (n=5950) was used to i) examine the independent and joint associations of physical activity and sedentary time on obesity and metabolic health, and ii) compare these relationships when using subjective or objective measures. Meeting or not meeting physical activity guidelines was cross-classified with being sedentary or non-sedentary, creating four groups. Analogous self-reported physical activity/sedentary time groups were made. Logistic regression analyses revealed although self-reported groups appeared to display a varied relationship with the outcomes analysed relative to objectively measured groups, the odds of several metabolic risk factors were higher in those who were inactive and sedentary compared to those who were active and non-sedentary. Results also revealed that being active while otherwise sedentary or non-sedentary while otherwise inactive were similarly protective.