scispace - formally typeset
I

Izumi Tabata

Researcher at Ritsumeikan University

Publications -  134
Citations -  7200

Izumi Tabata is an academic researcher from Ritsumeikan University. The author has contributed to research in topics: Aerobic exercise & Skeletal muscle. The author has an hindex of 40, co-authored 131 publications receiving 6415 citations. Previous affiliations of Izumi Tabata include National Institutes of Health & National Institute of Fitness and Sports in Kanoya.

Papers
More filters
Journal ArticleDOI

Effects of moderate-intensity endurance and high-intensity intermittent training on anaerobic capacity and VO2max

TL;DR: It is shown that moderate-intensity aerobic training that improves the maximal aerobic power does not change anaerobic capacity and that adequate high-intensity intermittent training may improve both an aerobic and aerobic energy supplying systems significantly, probably through imposing intensive stimuli on both systems.
Journal ArticleDOI

Unfavorable Effects of Resistance Training on Central Arterial Compliance A Randomized Intervention Study

TL;DR: In marked contrast to the beneficial effect of regular aerobic exercise, several months of resistance training “reduces” central arterial compliance in healthy men.
Journal ArticleDOI

Calf circumference as a surrogate marker of muscle mass for diagnosing sarcopenia in Japanese men and women

TL;DR: The relationship between calf circumference and muscle mass is examined and the suitability of calf circumference as a surrogate marker of muscle mass for the diagnosis of sarcopenia among middle‐aged and older Japanese men and women is evaluated.
Journal ArticleDOI

Effects of low-intensity prolonged exercise on PGC-1 mRNA expression in rat epitrochlearis muscle.

TL;DR: The results may suggest that an acute bout of low-intensity prolonged swimming exercise directly enhances the PGC-1 mRNA expression in the activated muscle during exercise, possibly through, at least in part, an AMPK-related mechanism.
Journal ArticleDOI

Real-time estimation of daily physical activity intensity by a triaxial accelerometer and a gravity-removal classification algorithm.

TL;DR: The use of a triaxial accelerometer in combination with a GRPACA permits more accurate and immediate estimation of daily physical activity intensities, compared with previously reported cut-off classification models.