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Kinesiotherapy Commons

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Physical activity intervention

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Full-Text Articles in Kinesiotherapy

Determining Intensity Levels Of Selected Wii Fit Activities In College Aged Individuals, Joshua D. Griese, Yong Gao, Lynda Ransdell, Shawn R. Simonson Apr 2012

Determining Intensity Levels Of Selected Wii Fit Activities In College Aged Individuals, Joshua D. Griese, Yong Gao, Lynda Ransdell, Shawn R. Simonson

Kinesiology Faculty Publications and Presentations

To determine intensity of Nintendo Wii Fit games using indirect calorimetry. Twenty-five college students completed Wii Fit activity sessions at two difficulty levels within aerobics, strength, and yoga categories. Resting metabolic rate and exercise VO2 were measured and metabolic equivalents (METs) were calculated. Measured METs and calculated METs ranged from 2.30 ± .42 and 2.44 ± .38 for Yoga to 5.73 ± 1.36 and 6.04 ± 1.09 for aerobics, respectively. All selected Wii Fit activity intensities were significantly higher than resting, p < .001; aerobic and strength activities met the moderate intensity threshold (3 METs, p < .001), yoga activities did not (p < .005); aerobic and yoga activities of medium difficulty were more intense than the corresponding easy-rated activities (p < .005). There were no statistical differences between measured and calculated METs. Wii Fit has potential as an effective tool for helping college-age individuals increase their PA.


Identifying Group-Sensitive Physical Activities: A Differential Item Functioning Analysis Of Nhanes Data, Yong Gao, Weimo Zhu May 2011

Identifying Group-Sensitive Physical Activities: A Differential Item Functioning Analysis Of Nhanes Data, Yong Gao, Weimo Zhu

Kinesiology Faculty Publications and Presentations

Purpose: To identify subgroup sensitive physical activities using differential item functioning (DIF) analysis.

Methods: A sub-unweighted sample of 1,857 (males = 923 and females = 934) from the 2003-2004 National Health and Nutrition Examination Survey Physical Activity (PA) questionnaire data was used for the analyses. Using Mantel-Haenszel, SIBTEST and ANOVA DIF methods, 33 specific leisure-time moderate and/or vigorous PA (MVPA) items were analyzed for DIF across race/ethnicity, gender, education, income and age groups.

Results: Many leisure-time MVPA items were identified as large DIF items. When participating in the same amount of leisure-time MVPAs, non-Hispanic Blacks (NHB) were …