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Nicholas A. Jamnick
Researcher at Victoria University, Australia
Publications - 25
Citations - 667
Nicholas A. Jamnick is an academic researcher from Victoria University, Australia. The author has contributed to research in topics: Internal medicine & Skeletal muscle. The author has an hindex of 9, co-authored 22 publications receiving 443 citations. Previous affiliations of Nicholas A. Jamnick include Minnesota State University, Mankato & Deakin University.
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An Examination and Critique of Current Methods to Determine Exercise Intensity
TL;DR: This review has evaluated the construct validity of different methods for prescribing exercise intensity based on their ability to provoke homeostatic disturbances consistent with the moderate, heavy, and severe domains of exercise.
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Training-Induced Changes in Mitochondrial Content and Respiratory Function in Human Skeletal Muscle
TL;DR: It is reported that training volume may be a critical factor affectingChanges in mitochondrial content, whereas relative exercise intensity is an important determinant of changes in mitochondrial respiratory function.
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Manipulating graded exercise test variables affects the validity of the lactate threshold and V̇O2peak.
TL;DR: It is apparent that V˙O2max and LT cannot be determined in a single GXT, even with the inclusion of a VEB, and a newly developed Modified Dmax method derived from GXT4 provided the most valid estimate of the MLSS.
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Principles of Exercise Prescription, and How They Influence Exercise-Induced Changes of Transcription Factors and Other Regulators of Mitochondrial Biogenesis
TL;DR: A definition of mitochondrial biogenesis is proposed and the techniques available to assess it are proposed, and the importance of standardizing biopsy timing and the determination of relative exercise intensity when comparing different studies is emphasized.
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3-min all-out exercise test for running.
TL;DR: A 3-min all-out exercise test that estimates critical power and the curvature constant for cycle ergometry validly and predicted times for the other distances yielded strong intraclass correlations and low coefficients of variation (%) values is examined.