Bryan Riemann
Professor Georgia Southern University
- Savannah GA
Bryan Riemann is an expert in functional joint stability, postural control, and the biomechanics of exercise and therapeutic exercise.
Media
Social
Biography
Dr. Riemann has conducted research in various areas surrounding functional joint stability, postural control, and the biomechanics of exercise and therapeutic exercise. Additional research interests include providing scientific evidence to support exercise prescription, the efficacy of clinical orthopedic rehabilitation procedures and the role of proprioception in functional joint stability. His work has won several manuscript awards and has appeared in numerous international and national sports medicine journals and textbooks. In April 2010, he was awarded the Kristina C Brockmeier Faculty Award for Teaching and in June 2011 he was named a Fellow of the National Athletic Trainers’ Association.
Areas of Expertise
Education
West Chester University
B.S.
University of North Carolina, Chapel Hill
M.A.
University of Pittsburgh
Ph.D.
Media Appearances
Local weightlifter takes world’s center stage
Savannah Now online
2016-07-23
Dr. Bryan Riemann, director of the Biodynamics and Human Performance Center (BHPC) at Armstrong State University, has been trying to provide answers for those wanting to identify the mechanics of Cummings’ lifts.
Raising The Bar
ESPN
2017-11-29
"And then he thought it was funny, because every time he dropped it, splinters were flying," says Bryan Riemann, the Armstrong State University sports medicine professor who oversaw the session three years ago. "So we had to come back and CJ-proof it, basically." Riemann patched the platform and packed 2-by-6 supports beneath it, with no space in between. He knew CJ Cummings would come back even stronger.
Articles
Statistical primer for athletic trainers: the essentials of understanding measures of reliability and minimal important change
Journal of Athletic TrainingBryan L Riemann, Monica R Lininger
2018
To describe the concepts of measurement reliability and minimal important change.
Age related changes in balance performance during self-selected and narrow stance testing
Archives of Gerontology and GeriatricsBryan L Riemann, Monica Lininger, Mary K Kirkland, John Petrizzo
2018
Two hundred and thirty adults aged 60 yrs or older completed one 45 s trial under two stances (self-selected, narrow) and two visual conditions (eyes opened, eyes closed). Average medial-lateral CP velocity was computed from the CP data, with preliminary analysis demonstrating positive skewness and association with body height. A sway velocity index (SVI) was created by a natural logarithm transformation and dividing by body height. Multiple linear regression was used to determine the association between age, visual condition, stance, and sex with SVI.
Bone Density Measurements in an Elite Population of Older Weightlifters: 3081 Board# 6 June 2 9
Medicine & Science in Sports & ExerciseKevin Rm Coyle, Bryan L Riemann, Robert Lefavi, Kailey Goins, Kayleigh Erickson, Mara Mercado, Jody Stone, Jeremy Ford, David R Hooper
2018
Kinetic and kinematic patterns during high intensity clean movement: searching for optimal load
Journal of Sports SciencesAchraf Ammar, Bryan L Riemann, Liwa Masmoudi, Marcel Blaumann, Osama Abdelkarim, Anita Hökelmann
2018
The aim of the present study was to investigate loading effects on kinematic and kinetic variables among elite-weightlifters in order to identify an optimal training load to maximize power production for clean-movement. Nine elite-weightlifter (age: 24 ± 4years, body-mass: 77 ± 6.5kg, height: 176 ± 6.1cm and 1RM clean: 170 ± 5kg) performed 2 separate repetitions of the clean using 85, 90, 95% and 100%, in a randomized order, while standing on a force platform and being recorded using 3D-capture-system. Differences in kinematics (barbell displacement, velocity and acceleration) and kinetics (power, vertical ground reaction force (vGRF), rate of force development (RFD), and work) across the loads were statistically assessed. Results revealed significant load effects for the majority of the studied parameters (p < 0.01) and showed that typical bar-displacement, greatest bar-velocity and peak-power were achieved at 85 and 90% 1RM (p < 0.001). Additionally greater average power was shown for 90 and 95% (p < 0.01) and greater work and vGRF were shown for 90, 95 and 100% than 85% 1RM (p < 0.05). Load had no significant effect on peak-vGRF and peak-RFD (p > 0.05). The results of this study, suggest 90% 1RM to be the most advantageous load to train explosive-force and to enhance power-outputs while maintaining technical efficiency in elite-weightlifters.
Principles of Statistics: What the Sports Medicine Professional Needs to Know
Clinics in Sports MedicineBryan L Riemann, Monica R Lininger
2018
Understanding the results and statistics reported in original research remains a large challenge for many sports medicine practitioners and, in turn, may be among one of the biggest barriers to integrating research into sports medicine practice. The purpose of this article is to provide minimal essentials a sports medicine practitioner needs to know about interpreting statistics and research results to facilitate the incorporation of the latest evidence into practice. Topics covered include the difference between statistical significance and clinical meaningfulness; effect sizes and confidence intervals; reliability statistics, including the minimal detectable difference and minimal important difference; and statistical power.
