Tour de Borobudur Troponin Study on Predictors and Synergistic Role of MDA and Hs-CRP Levels
NCT ID: NCT03310450
Last Updated: 2019-10-10
Study Results
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View full resultsBasic Information
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COMPLETED
94 participants
OBSERVATIONAL
2017-10-28
2018-05-05
Brief Summary
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Detailed Description
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1. minimum sample size of 80 men, non-athlete, participants of TdB
2. Classified into two groups: 160kms cycling and 100kms cycling participation
3. 25-55 years old
4. voluntary participate in the research
5. eligible in pre participatory physical examination and ECG test by the doctor
6. have no history of the previous acute coronary syndrome (ACS)
Measurements:
Interview for determining predictors of sports participation history, medical history, family medical history and Rate of Perceived Exertion Measurement and examination to determine: anthropometry parameters, clinical conditions (Systolic BP, Diastolic BP, hemoglobin levels, T-cholesterol and HDL-C levels, the intensity in cycling activities (mileage, velocity, duration, and time for resting), hemodynamic responses (average and maximum heart rate, Karvonen Index), and Hydration status
Other outcome measurements; pre and post-TdB 2017 measurements of cTnI, MDA, and hs-CRP
Conditions
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Study Design
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COHORT
PROSPECTIVE
Study Groups
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Group 140kms cycling
Participants of Tour de Borobudur 2017 140 km cycling touring and willing to participate in the study.
Investigator did not give any intervention, just observed the cycling touring event that the subjects participated
140kms cycling
Main exposure is long distance cycling touring (TdB/NC) consists of three groups; 140kms, 100kms, and 240kms (investigator did not give any treatment/intervention, just observed the cycling touring event)
Group 100kms cycling
Participants of Tour de Borobudur 2017 100 km cycling touring and willing to participate in the study.
Investigator did not give any intervention, just observed the cycling touring event that the subjects participated
140kms cycling
Main exposure is long distance cycling touring (TdB/NC) consists of three groups; 140kms, 100kms, and 240kms (investigator did not give any treatment/intervention, just observed the cycling touring event)
Group 240kms cycling
Participants of North Coast 2017 240 km cycling touring and willing to participate in the study.
Investigator did not give any intervention, just observed the cycling touring event that the subjects participated
140kms cycling
Main exposure is long distance cycling touring (TdB/NC) consists of three groups; 140kms, 100kms, and 240kms (investigator did not give any treatment/intervention, just observed the cycling touring event)
Interventions
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140kms cycling
Main exposure is long distance cycling touring (TdB/NC) consists of three groups; 140kms, 100kms, and 240kms (investigator did not give any treatment/intervention, just observed the cycling touring event)
Other Intervention Names
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Eligibility Criteria
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Inclusion Criteria
* Classified into two groups: 160kms cycling and 100kms cycling participation
* 25-55 years old
* voluntary participate in the research
* eligible in pre participatory physical examination and ECG test by doctor have no history of previous acute coronary syndrome (ACS)
Exclusion Criteria
* (subjects who stop cycling due to any physical symptoms and health related problem included in analysis)
25 Years
55 Years
MALE
Yes
Sponsors
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Ministry of Research, Technology and Higher Education, Republic of Indonesia
UNKNOWN
Universitas Diponegoro
OTHER
Universitas Negeri Semarang
OTHER
Responsible Party
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Principal Investigators
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Mahalul Azam, Dr
Role: PRINCIPAL_INVESTIGATOR
Universitas Negeri Semarang
Locations
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Universitas Negeri Semarang
Semarang, Central Java, Indonesia
Countries
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References
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Serrano-Ostariz E, Terreros-Blanco JL, Legaz-Arrese A, George K, Shave R, Bocos-Terraz P, Izquierdo-Alvarez S, Bancalero JL, Echavarri JM, Quilez J, Aragones MT, Carranza-Garcia LE. The impact of exercise duration and intensity on the release of cardiac biomarkers. Scand J Med Sci Sports. 2011 Apr;21(2):244-9. doi: 10.1111/j.1600-0838.2009.01042.x.
Grande G, Romppel M, Glaesmer H, Petrowski K, Herrmann-Lingen C. The type-D scale (DS14) - Norms and prevalence of type-D personality in a population-based representative sample in Germany. Pers Individ Dif [Internet]. 2010;48(8):935-9. Available from: http://dx.doi.org/10.1016/j.paid.2010.02.026
Lee PH, Macfarlane DJ, Lam TH, Stewart SM. Validity of the International Physical Activity Questionnaire Short Form (IPAQ-SF): a systematic review. Int J Behav Nutr Phys Act. 2011 Oct 21;8:115. doi: 10.1186/1479-5868-8-115.
Kleinbaum DG, Kupper LL, Morgenstern H. Epidemiologic research; Principles and quantitative methods. New York: John Wiley and Son Inc; 1982. 1-527 p.
Bahrudin U, Morikawa K, Takeuchi A, Kurata Y, Miake J, Mizuta E, Adachi K, Higaki K, Yamamoto Y, Shirayoshi Y, Yoshida A, Kato M, Yamamoto K, Nanba E, Morisaki H, Morisaki T, Matsuoka S, Ninomiya H, Hisatome I. Impairment of ubiquitin-proteasome system by E334K cMyBPC modifies channel proteins, leading to electrophysiological dysfunction. J Mol Biol. 2011 Nov 4;413(4):857-78. doi: 10.1016/j.jmb.2011.09.006. Epub 2011 Sep 12.
Bahrudin U, Morisaki H, Morisaki T, Ninomiya H, Higaki K, Nanba E, Igawa O, Takashima S, Mizuta E, Miake J, Yamamoto Y, Shirayoshi Y, Kitakaze M, Carrier L, Hisatome I. Ubiquitin-proteasome system impairment caused by a missense cardiac myosin-binding protein C mutation and associated with cardiac dysfunction in hypertrophic cardiomyopathy. J Mol Biol. 2008 Dec 26;384(4):896-907. doi: 10.1016/j.jmb.2008.09.070. Epub 2008 Oct 7.
Purwowiyoto SL, Aryadi A, Suryaatmadja B, Ruray D, Purwowiyoto BS, Siswanto BB. Positive correlation between ECG dispersion mapping (heartvueTM) with T2DM patients. Glob Heart [Internet]. 2014;9(1):e243. Available from: http://linkinghub.elsevier.com/retrieve/pii/S221181601402119X
de Koning L, Merchant AT, Pogue J, Anand SS. Waist circumference and waist-to-hip ratio as predictors of cardiovascular events: meta-regression analysis of prospective studies. Eur Heart J. 2007 Apr;28(7):850-6. doi: 10.1093/eurheartj/ehm026. Epub 2007 Apr 2.
Shave R, George KP, Atkinson G, Hart E, Middleton N, Whyte G, Gaze D, Collinson PO. Exercise-induced cardiac troponin T release: a meta-analysis. Med Sci Sports Exerc. 2007 Dec;39(12):2099-106. doi: 10.1249/mss.0b013e318153ff78.
Morrow DA. Troponins in patients with acute coronary syndromes: biologic, diagnostic, and therapeutic implications. Cardiovasc Toxicol. 2001;1(2):105-10. doi: 10.1385/ct:1:2:105.
Jassal DS, Moffat D, Krahn J, Ahmadie R, Fang T, Eschun G, Sharma S. Cardiac injury markers in non-elite marathon runners. Int J Sports Med. 2009 Feb;30(2):75-9. doi: 10.1055/s-0028-1104572. Epub 2009 Jan 28.
Rodondi N, Marques-Vidal P, Butler J, Sutton-Tyrrell K, Cornuz J, Satterfield S, Harris T, Bauer DC, Ferrucci L, Vittinghoff E, Newman AB; Health, Aging, and Body Composition Study. Markers of atherosclerosis and inflammation for prediction of coronary heart disease in older adults. Am J Epidemiol. 2010 Mar 1;171(5):540-9. doi: 10.1093/aje/kwp428. Epub 2010 Jan 28.
Eijsvogels TM, Hoogerwerf MD, Maessen MF, Seeger JP, George KP, Hopman MT, Thijssen DH. Predictors of cardiac troponin release after a marathon. J Sci Med Sport. 2015 Jan;18(1):88-92. doi: 10.1016/j.jsams.2013.12.002. Epub 2014 Jan 2.
Serrano-Ostariz E, Legaz-Arrese A, Terreros-Blanco JL, Lopez-Ramon M, Cremades-Arroyos D, Carranza-Garcia LE, Izquierdo-Alvarez S, Bocos-Terraz P. Cardiac biomarkers and exercise duration and intensity during a cycle-touring event. Clin J Sport Med. 2009 Jul;19(4):293-9. doi: 10.1097/JSM.0b013e3181ab3c9d.
Eijsvogels T, George K, Shave R, Gaze D, Levine BD, Hopman MT, Thijssen DH. Effect of prolonged walking on cardiac troponin levels. Am J Cardiol. 2010 Jan 15;105(2):267-72. doi: 10.1016/j.amjcard.2009.08.679.
Neumayr G, Pfister R, Mitterbauer G, Maurer A, Gaenzer H, Sturm W, Hoertnagl H. Effect of the "Race Across The Alps" in elite cyclists on plasma cardiac troponins I and T. Am J Cardiol. 2002 Feb 15;89(4):484-6. doi: 10.1016/s0002-9149(01)02280-9. No abstract available.
Provided Documents
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Document Type: Study Protocol
Document Type: Statistical Analysis Plan
Other Identifiers
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0017
Identifier Type: -
Identifier Source: org_study_id
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