000121120 001__ 121120
000121120 005__ 20240319081005.0
000121120 0247_ $$2doi$$a10.3390/healthcare10050798
000121120 0248_ $$2sideral$$a129158
000121120 037__ $$aART-2022-129158
000121120 041__ $$aeng
000121120 100__ $$0(orcid)0000-0003-1121-6408$$aCastellar Otín, Carlos$$uUniversidad de Zaragoza
000121120 245__ $$aBone turnover alterations after completing a multistage ultra-trail: a case study
000121120 260__ $$c2022
000121120 5060_ $$aAccess copy available to the general public$$fUnrestricted
000121120 5203_ $$aA series of case studies aimed to assess bone and stress fractures in a 768-km ultra-trail race for 11 days. Four nonprofessional male athletes completed the event without diagnosing any stress fracture. Bone turnover markers (osteocalcin (OC), serum C-terminal cross-linking telopeptide of type I collagen (CTX), bone-specific alkaline phosphatase (BALP), and serum turnover calcium (Ca2+)) were assessed before (pre) and after the race (post) and on days two and nine during the recovery period (rec2 and rec9), respectively. Results showed: post-pre-OC = -45.78%, BALP = -61.74%, CTX = +37.28% and Ca2+ = -3.60%. At rec2 and rec9, the four parameters did not return to their pre-run levels: OC, -48.31%; BALP, -61.66%; CTX, +11.93% and Ca2+, -3.38%; and OC = -25.12%, BALP = -54.65%, CTX = +93.41% and Ca2+ = +3.15%), respectively. Our results indicated that the ultra-trail race induced several changes in bone turnover markers, uncoupling of bone metabolism, increased bone resorption: OC and BALP and suppressed bone formation: CTX and Ca2+. Bone turnover markers can help determine the response of bone to extreme effort and might also help predict the risk of stress fractures. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.
000121120 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000121120 590__ $$a2.8$$b2022
000121120 592__ $$a0.55$$b2022
000121120 591__ $$aHEALTH POLICY & SERVICES$$b43 / 87 = 0.494$$c2022$$dQ2$$eT2
000121120 593__ $$aHealth Policy$$c2022$$dQ2
000121120 591__ $$aHEALTH CARE SCIENCES & SERVICES$$b57 / 106 = 0.538$$c2022$$dQ3$$eT2
000121120 593__ $$aLeadership and Management$$c2022$$dQ2
000121120 593__ $$aHealth Informatics$$c2022$$dQ3
000121120 593__ $$aHealth Information Management$$c2022$$dQ3
000121120 594__ $$a2.7$$b2022
000121120 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000121120 700__ $$aLecina, Miguel
000121120 700__ $$0(orcid)0000-0002-6829-0775$$aPradas, Francisco$$uUniversidad de Zaragoza
000121120 7102_ $$13001$$2187$$aUniversidad de Zaragoza$$bDpto. Expres.Music.Plást.Corp.$$cÁrea Didáctica Expres.Corporal
000121120 773__ $$g10, 5 (2022), 798 [10 pp.]$$pHealthcare (Basel)$$tHealthcare (Switzerland)$$x2227-9032
000121120 8564_ $$s662616$$uhttps://zaguan.unizar.es/record/121120/files/texto_completo.pdf$$yVersión publicada
000121120 8564_ $$s2683148$$uhttps://zaguan.unizar.es/record/121120/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000121120 909CO $$ooai:zaguan.unizar.es:121120$$particulos$$pdriver
000121120 951__ $$a2024-03-18-14:36:07
000121120 980__ $$aARTICLE