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Participants were classified into balanced somatotype groups and randomly selected somatotype groups. Mean age, height, and weight were reported for each group, and body composition was assessed using the Heath-Carter method. Data were analyzed with SPSS 2.0 and somatotype calculations were conducted using the SOMATOTURK program.",{"@graph":69,"@context":116},[70,84,99],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/the-determination-of-the-relationship-between-somatotypes-and-speed-of-subelite-athletes-read-online-free/592579/",{"url":83,"name":65,"@type":85,"author":86,"headline":65,"publisher":89,"fileFormat":92,"inLanguage":63,"description":67,"dateModified":93,"datePublished":93,"encodingFormat":92,"isAccessibleForFree":94,"interactionStatistic":95},"DigitalDocument",{"name":87,"@type":88},"Mimi","Person",{"url":74,"name":90,"@type":91},"DocShare","Organization","application/pdf","2026-10-15",true,{"@type":96,"interactionType":97,"userInteractionCount":4},"InteractionCounter",{"@type":98},"ViewAction",{"@type":100,"mainEntity":101},"FAQPage",[102,108,112],{"name":103,"@type":104,"acceptedAnswer":105},"How were the athletes grouped for this study?","Question",{"text":106,"@type":107},"Athletes were divided into balanced somatotype groups and randomly selected groups based on their somatotype structures.","Answer",{"name":109,"@type":104,"acceptedAnswer":110},"Which tools were used to calculate somatotypes and analyze data?",{"text":111,"@type":107},"Somatotype calculations were performed with the SOMATOTURK Calculation Program, and statistical analysis used the SPSS 2.0 package for Windows.",{"name":113,"@type":104,"acceptedAnswer":114},"What method was used to determine somatotypes?",{"text":115,"@type":107},"Somatotype values were determined using the Heath Carter method of somatotyping, based on multiple anthropometric measurements and formulas.","https://schema.org",{"og:url":83,"og:type":118,"og:title":65,"og:site_name":90,"og:description":67},"article",{"robots":120,"canonical":83},"index,follow",{"doc_id":122,"site_id":62},592579,1792074869,{"code":4,"msg":5,"data":125},{"doc_id":122,"user_id":126,"nickname":87,"user_avatar":127,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":128,"file_id":129,"file_url":130,"file_type":131,"file_size":132,"view_count":4,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":19,"language":133,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":134,"faqs":135,"seo_title":136,"seo_description":67,"update_tm":123,"read_time":52},2336477974920,"https://ap-avatar.wpscdn.com/davatar_155a257f0dc6eb9ab79c44ca47cae57d","Asian Journal of Education and Training  \nVol. 4, No. 3, 220-223, 2018 ISSN(E) 2519-5387  \nDOI: 10.20448/journal.522.2018.43.220.223  \nThe Determination of the Relationship between Somatotypes and Speed of SubElite Athletes  \nİrfan MARANGOZ 1   \n1Ahi Evran University, School of Physical Education and Sports, Kırşehir, Turkey  \nAbstract  \nThis study aims to analyze the relationship between somatotypes and speed of 180 male sub-elite athletes aged between 18 and 25. Athletes were divided into two categories as balanced group (balanced somatotype groups) and randomly selected groups (groups outside balanced somatotypes groups) based on their somatotype structures. The arithmetic means and standard deviations of groups are (n=30) 21.95±2.80 years of age, height 168.40±2.62 cm, weight  \n69.20±5.26 kg in balanced endomorph group, (n=30) 21.60±3.15 years of age, height 170.25±6.39 cm, weight 67.25±6.09 kg in balanced mesomorph group, and (n=30) 20.40±1.46 years of age, height 175.10±5.02 cm, and weight 60.05±5.09 kg in balanced ectomorph group. On the other hand, the same values are (n=30) 21.35±2.30 years of age, height 160.10±2.20 cm, and weight  \n69.30±5.70 kg in random endomorph group, (n=30) 21.36±2.40 years of age, height 169.24±2.21 cm and weight 65.40±3.25 kg in random mesomorph groups, and (n=30) 20.50±1.85 years of age, height 176.15±3.30 cm and weight 70.10±4.45 kg in random ectomorph group. The measurement data were analyzed using SPSS 2.0 package program for Windows. Somatotype calculations were done in SOMATOTURK Calculation Program. The statistical analysis demonstrated that a highly positive significant correlation (p˂0.001) was found between balanced somatotype groups (balanced endomorph, mesomorph and ectomorph) and randomly selected somatotype groups (random endomorph, mesomorph and ectomorph) .  \nKeywords: Sub-elite athletes, Somatotypes, Speed.  \nFunding: This study received no specific financial support.  \nCompeting Interests: The author declares that there are no conflicts of interests regarding the publication of this paper.  \nTransparency: The author confirms that the manuscript is an honest, accurate, and transparent account of the study was reported; that no vital features of the study have been omitted; and that any discrepancies from the study as planned have been explained.  \nEthical: This study follows all ethical practices during writing.  \nContents  \n1. Introduction .................................................................................................................................................................................... 221  \n2. Materials and Method ................................................................................................................................................................... 221  \n3. Findings ........................................................................................................................................................................................... 222  \n4. Discussion........................................................................................................................................................................................ 222  \nReferences ............................................................................................................................................................................................ 223  \n1. Introduction  \nIt is not possible to reach a certain level of performance without physical properties suitable to the sports that an individual performs (Marangoz and Polat, 2017) . Body structure is one of the factors influencing performance. Physical properties or body structures affect an individual’s physiological capacity (Hazır and Açıkada, 2002) . Strength and condition training are key elements in terms of reaching a high speed. Athletes need to effectively reach a maximum speed running speed for a successful performance (Murphy et al., 2003) . Succes","cbCaicunMEZz2vBQ","https://ap.wps.com/l/cbCaicunMEZz2vBQ","pdf",468894,"English","# Introduction\n# Materials and Method\n## Determination of Somatotypes\n## Determination of Endomorph\n# Findings\n# Discussion\n# References","[{\"question\":\"How were the athletes grouped for this study?\",\"answer\":\"Athletes were divided into balanced somatotype groups and randomly selected groups based on their somatotype structures.\"},{\"question\":\"Which tools were used to calculate somatotypes and analyze data?\",\"answer\":\"Somatotype calculations were performed with the SOMATOTURK Calculation Program, and statistical analysis used the SPSS 2.0 package for Windows.\"},{\"question\":\"What method was used to determine somatotypes?\",\"answer\":\"Somatotype values were determined using the Heath Carter method of somatotyping, based on multiple anthropometric measurements and formulas.\"}]","The Determination of the Relationship between Somatotypes and Speed of SubElite Athletes - read online free | PDF"]