Metabolic and phenotypic characteristics of human skeletal muscle fibers as predictors of glycogen utilization during electrical stimulation.

Characteristics of skeletal muscle such as fiber type composition and activities of key metabolic enzymes have been purported to affect glycogen utilization. However, the relative importance individual factors may have in predicting glycogen utilization of individual muscle fibers has not been addressed. Thus, we sought to determine the relative importance that metabolic characteristics and phenotypic expression of individual fibers have in predicting fiber specific glycogen utilization during neuromuscular electrical stimulation (NMES) exercise.

A Note on the Correlation of Gains and Initial Status.

By writing the familiar equation for the correlation of gains and initial status in a form which reveals that the correlation does not depend on the standard deviations of pretest and posttest scores separately, but only on their ratio, it is possible to exhibit a one-parameter family of functions which throws new light on this relationship. The same family of functions provides information about the correlation between the true components of gains and initial status, as well as information about the correlation between the error components of gains and initial status.