2018, Vol. 5, Issue 5, Part B
Multivariate multiple regression analysis of fitness and sociodemographic variables in adultsAuthor(s):
Peter D HartAbstract:
Background: Little evidence exists regarding the multivariate relationship between a set of fitness variables and a set of sociodemographic predictor variables. The purpose of this study was to examine the independent relationship that sociodemographic predictors have on the linear combination of fitness variables in adults.
Methods: Data for this research came from adults 20+ years of age participating in the 2013-2014 National Health and Nutrition Examination Survey (NHANES). Grip strength (GS, kg), waist circumference (WC, cm), Moderate-to-vigorous physical activity (MVPA, min/wk), and sedentary time (ST, min/day) were the set of dependent variables. Sociodemographic predictor variables consisted of age, sex, race, income, education, and marital/partner status. Multivariate multiple linear regression analysis was employed to examine the independent relationship between predictors and the linear combination of fitness variables.
Results: The set of sociodemographic variables significantly (ps<.0001) predicted each of the fitness variables in separate univariate models. The multivariate multiple regression analysis indicated that each sociodemographic predictor significantly (ps<.001) predicts the linear combination of fitness variables.
Conclusion: Results from this study indicate that sociodemographic characteristics are related to a fitness construct consisting of muscular strength, body composition, physical activity, and sedentary behavior.Pages: 84-86 | 839 Views 38 DownloadsDownload Full Article:
How to cite this article:
Peter D Hart. Multivariate multiple regression analysis of fitness and sociodemographic variables in adults. Int J Phys Educ Sports Health 2018;5(5):84-86.