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Austin Graybeal

Dr. Austin Graybeal

Assistant Professor


Dr. Graybeal is an Assistant Professor in the School of Kinesiology & Nutrition at the University of Southern Mississippi. Raised in North Texas, Dr. Graybeal earned a BS in Kinesiology with a concentration in Exercise and Sports Science in 2016 and an MS in Kinesiology with an emphasis in Human Performance in 2018, both from Texas Tech University. Returning home, Dr. Graybeal completed his Ph.D. in Kinesiology and Health Sciences with a concentration in Nutrition, at Texas Christian University in 2021. Dr. Graybeal's research focuses on the accuracy of body composition assessment techniques with a focus on artificial intelligence and the utility of popular dietary interventions in achieving optimal body composition and cardiometabolic health.

  • PHD - Texas Christian University (2021)
  • MS - Texas Tech University (2018)

KIN 733: Nutrition and Human Performance
KIN 304: Nutrition and Performance
NFS 410: Macronutrient Metabolism
NFS 411: Micronutrient Metabolism

  • Smartwatch-based bioimpedance analysis for body composition estimation: Precision and agreement with a 4-compartment model, Applied Physiology, Nutrition, and Metabolism, 2023,
  • Evaluation of automated anthropometrics produced by smartphone-based machine learning: a comparison with traditional anthropometric assessments, British Journal of Nutrition, 2023,
  • Raw bioelectrical impedance measurements are not different between White and Black adults when matched for sex, age, BMI, and other physical characteristics  , Nutrition Research, 2023,
  • Body Composition Assessment in Male and Female Bodybuilders: A 4-Compartment Model Comparison of Dual-Energy X-Ray Absorptiometry and Impedance-Based Devices, JOURNAL OF STRENGTH AND CONDITIONING RESEARCH, 2020, 10.1519/JSC.0000000000002831
  • Age drives the differences in dietary supplement use in endurance athletes: A cross-sectional analysis of cyclists, runners, and triathletes, Journal of Dietary Supplements, 2022,
  • Improved physiological markers of omega-3 status and compliance with omega-3 supplementation in Division I Track & Field and Cross-country athletes: a randomized controlled crossover trial, International Journal of Sport Nutrition and Exercise Metabolism, 2022,
  • Manipulation of fatty acid composition in a high-fat meal does not result in differential alterations in appetite or food intake in normal weight females: A single-blind randomized crossover study, APPETITE, 2021, 10.1016/j.appet.2020.105085
  • Body composition, not dietary fatty acid composition, explains metabolic responses following a high-fat meal in premenopausal normal-weight women: a single-blind, randomised, crossover study, BRITISH JOURNAL OF NUTRITION, 2020, 10.1017/S0007114520004419
  • Perceptions of appetite do not match hormonal measures of appetite in trained competitive cyclists and triathletes following a ketogenic diet compared to a high-carbohydrate or habitual diet: A randomized crossover trial x2729;, NUTRITION RESEARCH, 2021, 10.1016/j.nutres.2021.07.008
  • Visual body composition assessment methods: a 4-compartment model comparison of smartphone-based artificial intelligence for body composition estimation, Clinical Nutrition, 2022,
  • American College of Sports Medicine
  • National Strength and Conditioning Association
  • The Obesity Society
  • English (Native or Bilingual)

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Joseph Greene Hall (JGH) 348



Areas of Expertise

Body Composition, Eating Behaviors, Obesity, Metabolic Syndrome