{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T08:28:43Z","timestamp":1790843323066,"version":"4.1.0"},"reference-count":50,"publisher":"Human Kinetics","issue":"1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,1,1]]},"abstract":"Context<\/jats:bold>:<\/jats:italic> The relationship between pretraining subjective wellness and external and internal training load in American college football is unclear. Purpose<\/jats:italic><\/jats:bold>:<\/jats:italic> To examine the relationship of pretraining subjective wellness (sleep quality, muscle soreness, energy, wellness Z score) with player load and session rating of perceived exertion (s-RPE-TL) in American college football players. Methods<\/jats:bold>:<\/jats:italic> Subjective wellness (measured using 5-point, Likert-scale questionnaires), external load (derived from GPS and accelerometry), and s-RPE-TL were collected during 3 typical training sessions per week for the second half of an American college football season (8\u00a0wk). The relationship of pretraining subjective wellness with player load and s-RPE training load was analyzed using linear mixed models with a random intercept for athlete and a random slope for training session. Standardized mean differences (SMDs) denote the effect magnitude. Results<\/jats:bold>:<\/jats:italic> A 1-unit increase in wellness Z<\/jats:italic> score and energy was associated with trivial 2.3% (90% confidence interval [CI] 0.5, 4.2; SMD 0.12) and 2.6% (90% CI 0.1, 5.2; SMD 0.13) increases in player load, respectively. A 1-unit increase in muscle soreness (players felt less sore) corresponded to a trivial 4.4% (90% CI \u22128.4, \u22120.3; SMD \u22120.05) decrease in s-RPE training load. Conclusion<\/jats:bold>:<\/jats:italic> Measuring pretraining subjective wellness may provide information about players\u2019 capacity to perform in a training session and could be a key determinant of their response to the imposed training demands American college football. Hence, monitoring subjective wellness may aid in the individualization of training prescription in American college football players.<\/jats:p>","DOI":"10.1123\/ijspp.2016-0714","type":"journal-article","created":{"date-parts":[[2017,5,10]],"date-time":"2017-05-10T14:50:35Z","timestamp":1494427835000},"page":"95-101","source":"Crossref","is-referenced-by-count":62,"title":["Relationship Between Pretraining Subjective Wellness Measures, Player Load, and Rating-of-Perceived-Exertion Training Load in American College Football"],"prefix":"10.1123","volume":"13","author":[{"given":"Andrew 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