scispace - formally typeset
S

Stephen M. Roth

Researcher at University of Maryland, College Park

Publications -  133
Citations -  7566

Stephen M. Roth is an academic researcher from University of Maryland, College Park. The author has contributed to research in topics: Skeletal muscle & Strength training. The author has an hindex of 45, co-authored 132 publications receiving 7114 citations. Previous affiliations of Stephen M. Roth include Baylor College of Medicine & Pennington Biomedical Research Center.

Papers
More filters
Journal ArticleDOI

The human gene map for performance and health-related fitness phenotypes: the 2005 update.

TL;DR: This review presents the 2002 update of the human gene map for physical performance and health-related phenotypes, based on peer-reviewed papers published by the end of 2002 and includes association studies with candidate genes, genome-wide scans with polymorphic markers, and single gene defects causing exercise intolerance to variable degrees.
Journal ArticleDOI

Strength training in the elderly: effects on risk factors for age-related diseases.

TL;DR: Contrary to popular belief, ST does not increase maximal oxygen uptake beyond normal variations, improve lipoprotein or lipid profiles, or improve flexibility in the elderly.
Journal ArticleDOI

Testosterone-induced muscle hypertrophy is associated with an increase in satellite cell number in healthy, young men

TL;DR: It is concluded that T-induced muscle fiber hypertrophy is associated with an increase in satellite cell number, a proportionate increase in myonuclear number, and changes inatellite cell ultrastructure.
Journal ArticleDOI

Effects of Age, Gender, and Myostatin Genotype on the Hypertrophic Response to Heavy Resistance Strength Training

TL;DR: Age does not affect the muscle mass response to either ST or detraining, whereas gender does, as men increased their muscle volume about twice as much in response to ST as did women and experienced larger losses in responseto detraining than women.
Journal ArticleDOI

Advances in exercise, fitness, and performance genomics.

TL;DR: It is concluded from this first installment that exercise scientists need to prioritize high-quality research designs and that replication studies with large sample sizes are urgently needed.