{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,15]],"date-time":"2026-01-15T03:18:29Z","timestamp":1768447109719,"version":"3.49.0"},"reference-count":33,"publisher":"National Athletic Trainers' Association","issue":"8","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,8,1]]},"abstract":"<jats:sec>\n                  <jats:title>Context<\/jats:title>\n                  <jats:p>Sport-related concussion (SRC) is characterized by a pathologic neurometabolic cascade that results in an increased intracranial energy demand and a decreased energy supply. Little is known about the whole-body energy-related effects of SRC.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Objective<\/jats:title>\n                  <jats:p>To examine factors associated with whole-body resting metabolic rate (RMR), total energy expenditure (TEE), energy consumption (EC), and energy balance (EBal) in student-athletes acutely after SRC and healthy matched control individuals.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Design<\/jats:title>\n                  <jats:p>Case-control study.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Setting<\/jats:title>\n                  <jats:p>University research laboratory.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Patients or Other Participants<\/jats:title>\n                  <jats:p>Student-athletes diagnosed with SRC (n = 28, 50% female, age = 18.4 \u00b1 1.8 years, body mass index [BMI] = 24.1 \u00b1 4.1 kg\/m2) assessed \u226472 hours postinjury and a matched control group (n = 28, 50% female, age = 19.4 \u00b1 2.9 years, BMI = 24.7 \u00b1 4.78 kg\/m2).<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Main Outcome Measure(s)<\/jats:title>\n                  <jats:p>Resting metabolic rate was measured via indirect calorimetry. Participants reported their physical activity and dietary intake for 3 days, which we used to estimate TEE and EC, respectively, and to calculate EBal (EC:TEE ratio). Resting metabolic rate, TEE, and EC were normalized to body mass. Group and group-by-sex comparisons were conducted for RMR\u00b7kg\u22121, TEE\u00b7kg\u22121, EC\u00b7kg\u22121, and EBal using independent t tests with the a priori \u03b1 = .05. Associations of age, sex, concussion history, BMI, and symptom burden with RMR\u00b7kg\u22121 and EBal were explored with linear regression models.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>Total energy expenditure\u00b7kg\u22121 was lower (P &amp;lt; .01; mean difference \u00b1 SD = \u22125.31 \u00b1 1.41 kcal\u00b7kg\u22121) and EBal was higher (P &amp;lt; .01; 0.28 \u00b1 0.10) in SRC participants than in control participants. Both sexes with SRC had lower TEE\u00b7kg\u22121 than did the control participants (P values \u2264 .04); females with SRC had higher EBal than controls (P = .01), but male groups did not differ. Higher RMR\u00b7kg\u22121 was associated with history of concussion (adjusted R2 = .10, \u03b2 = 0.65). Younger age (\u03b2 = \u22120.35), fewer concussions (\u03b2 = \u22120.35), lower BMI (\u03b2 = \u22120.32), greater symptom duration (\u03b2 = 1.50), and lower symptom severity (\u03b2 = \u22121.59) were associated with higher EBal (adjusted R2 = .54).<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusions<\/jats:title>\n                  <jats:p>Total energy expenditure\u00b7kg\u22121 and EBal appeared to be affected by acute SRC, despite no differences in RMR\u00b7kg\u22121. Sex, concussion history, BMI, and symptom burden were associated with acute energy-related outcomes.<\/jats:p>\n               <\/jats:sec>","DOI":"10.4085\/359-20","type":"journal-article","created":{"date-parts":[[2020,11,5]],"date-time":"2020-11-05T03:21:59Z","timestamp":1604546519000},"page":"860-868","source":"Crossref","is-referenced-by-count":6,"title":["Factors Associated With Energy Expenditure and Energy Balance in Acute Sport-Related Concussion"],"prefix":"10.4085","volume":"56","author":[{"given":"Samuel Richard","family":"Walton","sequence":"first","affiliation":[{"name":"Department of Exercise and Sport Science, University of North Carolina at Chapel Hill"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sibylle","family":"Kranz","sequence":"additional","affiliation":[{"name":"Department of Kinesiology, University of Virginia, Charlottesville"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Steven Kenneth","family":"Malin","sequence":"additional","affiliation":[{"name":"Rutgers University, New Brunswick, NJ"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Donna K.","family":"Broshek","sequence":"additional","affiliation":[{"name":"Neurocognitive Assessment Lab, University of Virginia Medical School, Charlottesville"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jay","family":"Hertel","sequence":"additional","affiliation":[{"name":"Department of Kinesiology, University of Virginia, Charlottesville"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jacob Earl","family":"Resch","sequence":"additional","affiliation":[{"name":"Department of Kinesiology, University of Virginia, Charlottesville"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"2557","published-online":{"date-parts":[[2020,11,5]]},"reference":[{"key":"2022022515264055700_i1062-6050-56-8-860-b01","doi-asserted-by":"crossref","unstructured":"Giza\n            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