| Autor: |
Greenwalt CE; Florida State University, Institute of Sports Science and Medicine, Nutrition and Integrative Physiology Department, Tallahassee, FL, USA., Angeles E; Florida State University, Institute of Sports Science and Medicine, Nutrition and Integrative Physiology Department, Tallahassee, FL, USA., Vukovich MD; College of Education and Human Sciences, South Dakota State University, Brookings, SD, USA., Smith-Ryan AE; University of North Carolina at Chapel Hill, Applied Physiology Laboratory, Department of Exercise and Sport Science, Chapel Hill, NC, USA., Bach CW; Department of Athletics, University of Nebraska-Lincoln, Lincoln, NE, USA., Sims ST; Auckland University of Technology, Auckland., Zeleny T; Department of Athletics, University of Nebraska-Lincoln, Lincoln, NE, USA., Holmes KE; WHOOP, Inc, Department of Performance Science, Boston, MA, USA., Presby DM; WHOOP, Inc, Department of Data Science and Research, Boston, MA, USA., Schiltz KJ; Florida State University, Institute of Sports Science and Medicine, Nutrition and Integrative Physiology Department, Tallahassee, FL, USA., Dupuit M; Florida State University, Institute of Sports Science and Medicine, Nutrition and Integrative Physiology Department, Tallahassee, FL, USA.; Clermont Auvergne University, Laboratory of the Metabolic Adaptations to Exercise Under Physiological and Pathological Conditions (AME2P), Clermont-Ferrand, France., Renteria LI; Florida State University, Institute of Sports Science and Medicine, Nutrition and Integrative Physiology Department, Tallahassee, FL, USA., Ormsbee MJ; Florida State University, Institute of Sports Science and Medicine, Nutrition and Integrative Physiology Department, Tallahassee, FL, USA.; University of KwaZulu-Natal, School of Health Sciences, Discipline of Biokinetics, Exercise and Leisure Sciences, Durban, South Africa. |
| Abstrakt: |
Pre-sleep nutrition habits in elite female athletes have yet to be evaluated. A retrospective analysis was performed with 14 NCAA Division I female soccer players who wore a WHOOP, Inc. band - a wearable device that quantifies recovery by measuring sleep, activity, and heart rate metrics through actigraphy and photoplethysmography, respectively - 24 h a day for an entire competitive season to measure sleep and recovery. Pre-sleep food consumption data were collected via surveys every 3 days. Average pre-sleep nutritional intake (mean ± sd: kcals 330 ± 284; cho 46.2 ± 40.5 g; pro 7.6 ± 7.3 g; fat 12 ± 10.5 g) was recorded. Macronutrients and kcals were grouped into high and low categories based upon the 50 th percentile of the mean to compare the impact of a high versus low pre-sleep intake on sleep and recovery variables. Sleep duration ( p = 0.10, 0.69, 0.16, 0.17) and sleep disturbances ( p = 0.42, 0.65, 0.81, 0.81) were not affected by high versus low kcal, PRO, fat, CHO intake, respectively. Recovery ( p = 0.81, 0.06, 0.81, 0.92), RHR ( p = 0.84, 0.64, 0.26, 0.66), or HRV ( p = 0.84, 0.70, 0.76, 0.93) were also not affected by high versus low kcal, PRO, fat, or CHO consumption, respectively. Consuming a small meal before bed may have no impact on sleep or recovery. |
