The Relative Contribution of Flexibility of the Back and Hamstring Muscles in the Performance of the Sit and Reach Component of the AAHPERD Health Related Fitness Test in Girls Thirteen to Fifteen Years of Age (open access)

The Relative Contribution of Flexibility of the Back and Hamstring Muscles in the Performance of the Sit and Reach Component of the AAHPERD Health Related Fitness Test in Girls Thirteen to Fifteen Years of Age

The purpose of the study was to quantify the relative contribution of low back flexibility and hamstring flexibility in the sit and reach test item of the AAHPERD Health Related Fitness Test in order to examine the validity of the sit and reach test. Subjects were 100 female students, 13 to 15 years of age in physical education classes. Hamstring flexibility was measured using the Leighton flexometer. Spinal mobility was measured using a tape measure. The sit and reach test was performed according to instructions given in the AAHPERD Test Manual. Data were analyzed using correlation, linear regression, and multiple regression. Conclusions of the investigation were (1) hamstring flexibility is moderately related to the sit and reach test, (2) low back flexibility has a very small relationship to the sit and reach test, and (3) the sit and reach test is an inadequate measure of low back and hamstring flexibility.
Date: August 1985
Creator: Baker, Alice Ann
System: The UNT Digital Library
A Study of Lean Body Mass in Estimating Basal Metabolic Rate (open access)

A Study of Lean Body Mass in Estimating Basal Metabolic Rate

The primary purpose of the study was to determine if measured LBM could be used as a more powerful predictor of BMR than could surface area (SA) as calculated by the formula of DuBois and DuBois (1916). It was also of interest to develop a prediction equation for BMR using multiple regression analysis. Data from 82 women and 76 men were included in the study. Pearson product-moment correlations indicated that LBM was a better predictor for BMR than SA on either of the principal SA prediction equations, those of Aub and DuBois (1917) and Harris and Benedict (1919). Age, sex, and fat weight were not found to contribute significantly to prediction when included by multiple regression analyses. Linear equations for BMR as a function of LBM were developed for each sex. Tables based on these equations were also generated as a quick reference for clinicians.
Date: May 1985
Creator: Lachenbruch, Charles
System: The UNT Digital Library