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Dietary protein ingestion to support skeletal muscle recovery, acute reconditioning and longer-term adaptations to exercise training represents a cornerstone within modern sports nutrition. However, most of our recommendations tacitly assume protein needs can be met by the (increased) consumption of animal-derived protein sources. There is interest for an evidence base for increasing alternative dietary protein choices within sports nutrition. While protein ‘source’ has traditionally been less studied within sports nutrition, data are now accumulating such that we can begin to incorporate this issue within modern sports nutrition recommendations. A clear practical challenge for the athlete wishing to become less reliant on animal-derived foods is obtaining sufficient dietary protein. However, it is clear the accelerating availability of alternative protein rich foods is making this achievable. It has traditionally been assumed that animal-derived proteins are the most anabolic (i.e. the most robust at stimulating muscle protein synthesis rates), attributable to a high bioavailability and leucine content. Our evolving understanding and expanded dataset now suggests anabolic parity between animal and carefully selected alternative proteins can be achieved. Promising alternative dietary protein sources that have been investigated include a variety of plant- (including blends), fungal-, algal- and insect-derived proteins. All these proteins provide differing challenges and opportunities, with each existing at various stages of maturity concerning the data supporting their application, and broader applied and commercial viability. Acute studies of muscle protein synthesis and translational studies of muscle adaptive responses to training now show equivalent magnitude responses can be achieved using traditional omnivorous diets and/or animal-derived protein supplementation compared with (more) alternative protein-based approaches, assuming sufficient protein is consumed. However, many limitations in our knowledge base still exist; including how alternative diets interact with different training regimens, populations and various adaptive responses.
Course Objectives
Course
Credits
Course Expiration
ACSM
1
02/21/2028
BOC
1
02/21/2028
Commission on Dietetic Registration
1.25
02/19/2028
CSCCa
1
02/21/2028
Focus on wearable measurements under most circumstances, as they are directly captured by the wearable's sensors, while estimates are attempts to derive something that cannot be measured with the sensors available on the wearable device. Recognize that both measurements and estimates can have larger errors in certain contexts, as when there is movement. Focus on wearable physiological responses as opposed to made-up scores combining physiology and behavior. The emphasis should be on the body's physiological response rather than penalizing scores for changes in behavior or external factors. Behavior and external factors remain key as context. There is no objective quantification or reference system for many made-up scores. There's no objective way to quantify metrics like sleep quality, readiness, recovery or stress, and wearables may oversimplify physiological responses, lacking necessary context. Dr. Altini reviews how to establish a plan including interpreting wearable data and using measurements (e.g., resting physiology) to capture responses to the plan, while making adjustments and not relying solely on made-up scores.
Course Objectives
Course
Credits
Course Expiration
ACSM
1
01/21/2028
BOC
1
01/21/2028
CSCCa
1
01/21/2028
Athlete monitoring can be used to gauge and elevate players’ responses to training to help the maintenance of maximal performance and minimize injury and/or illness risk. There are many tools for both internal and external load monitoring, however little research has been performed within the context of American football. Given that American football is a team sport made up of different positions requiring unique skillsets and game demands, the individualization of monitoring tools and/or techniques is critical. Data analysis and interpretation needs context, both in terms of training phase (e.g., preseason vs. in-season) and in determining meaningful changes in selected monitoring tools. The authors review different parameters associated with external and internal load assessments in football and tools on how to monitor the player’s recovery with the aim of optimizing both their health and performance.
Course Objectives
Course
Credits
Course Expiration
ACSM
1
11/27/2027
BOC
1
11/27/2027
Commission on Dietetic Registration
1.25
12/03/2027
CSCCa
1
11/27/2027
