{"id":11862,"date":"2022-05-13T14:33:23","date_gmt":"2022-05-13T18:33:23","guid":{"rendered":"https:\/\/med.virginia.edu\/radiology\/?page_id=11862"},"modified":"2022-06-30T13:50:35","modified_gmt":"2022-06-30T17:50:35","slug":"marathon-training-program-study","status":"publish","type":"page","link":"https:\/\/med.virginia.edu\/radiology\/marathon-training-program-study\/","title":{"rendered":"Half and Full Marathon Training Program Body Fat Composition Study"},"content":{"rendered":"<h2><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-12085 size-large\" src=\"https:\/\/med.virginia.edu\/radiology\/wp-content\/uploads\/sites\/191\/2022\/05\/AdobeStock_78343092-scaled-e1652468278131-1024x550.jpeg\" alt=\"marathon runner legs running on city street\" width=\"1024\" height=\"550\" srcset=\"https:\/\/med.virginia.edu\/radiology\/wp-content\/uploads\/sites\/191\/2022\/05\/AdobeStock_78343092-scaled-e1652468278131-1024x550.jpeg 1024w, https:\/\/med.virginia.edu\/radiology\/wp-content\/uploads\/sites\/191\/2022\/05\/AdobeStock_78343092-scaled-e1652468278131-300x161.jpeg 300w, https:\/\/med.virginia.edu\/radiology\/wp-content\/uploads\/sites\/191\/2022\/05\/AdobeStock_78343092-scaled-e1652468278131-768x413.jpeg 768w, https:\/\/med.virginia.edu\/radiology\/wp-content\/uploads\/sites\/191\/2022\/05\/AdobeStock_78343092-scaled-e1652468278131-1536x826.jpeg 1536w, https:\/\/med.virginia.edu\/radiology\/wp-content\/uploads\/sites\/191\/2022\/05\/AdobeStock_78343092-scaled-e1652468278131-2048x1101.jpeg 2048w, https:\/\/med.virginia.edu\/radiology\/wp-content\/uploads\/sites\/191\/2022\/05\/AdobeStock_78343092-scaled-e1652468278131-372x200.jpeg 372w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/h2>\n<h2>HSR210504: Machine Learning to Quantify Fat on Low-Dose CT<\/h2>\n<h4>What problem is this study trying to solve?<\/h4>\n<p>This study is trying to find an alternate way in which we monitor obesity and fat composition, particularly in respect to healthy individuals. By agreeing to participate in this study as a health volunteer, you will be asked to have two CT scans, approximately 16 weeks apart following your participation in the Charlottesville half and full marathon exercise training program. \u00a0You will receive two low-dose CTs (one before beginning the exercise training program and one after running the race at the end). These low-dose CTs will be used to measure your abdominal fat (both the visible fat outside of your muscles (subcutaneous fat) and the invisible fat inside of your muscles mixed in with your organs (visceral fat)). Changes in both of these fat types will be assessed after the exercise regimen is complete to determine how effective the exercise was in reducing your abdominal fat.<\/p>\n<h4>Why would you want to take part in this study?<\/h4>\n<p>You might like to take part in this study to contribute to research on exercise and health. There is no direct benefit from your participation.<\/p>\n<h4>How long will this study take?<\/h4>\n<p>Your participation in this study will require <strong>2<\/strong> study visits over<strong> 16 weeks<\/strong>.\u00a0 Each visit will last about <strong>10 minutes. <\/strong>Beyond the study visits that will take place, you will also participate in the half and full marathon training program.<\/p>\n<p><strong>NOTE: <\/strong>You will be required to enroll in and complete both the Charlottesville Track Club\u2019s annual Marathon\/Half Marathon Training Program coached by Mark Lorenzoni as well as the subsequent half or full marathon of your choice at the end of the training regimen. <strong>You will be required to pay for the training program and race fees as part of your individual commitment to the training program<\/strong>.<\/p>\n<h4>Inclusion Criteria<\/h4>\n<ul>\n<li>Age 18-70<\/li>\n<li>Commitment to participate in at least 80% of the weekly training sessions for the men\u2019s and women\u2019s four miler training program run by the Ragged Mountain Running Shop<\/li>\n<\/ul>\n<p><strong>Pregnant women will not be eligible to participate.<\/strong><\/p>\n<h4><strong>Financial Compensation<\/strong><\/h4>\n<p>You will be paid <strong>$50 <\/strong>for each study visit, both the initial pre-intervention and post-intervention visits. (<strong>$100.00 total<\/strong>).\u00a0 You should get your payment at the conclusion of the study visit to Fontaine Research Park.<\/p>\n<h4><strong>If Interested, Contact<\/strong><\/h4>\n<p><strong>Jeison De Guzman<\/strong><br \/>\n<strong>Email: <a href=\"mailto:jcd8yb@virginia.edu\">jcd8yb@virginia.edu<\/a><\/strong><\/p>\n<h4>Consent Form<\/h4>\n<p><a href=\"https:\/\/med.virginia.edu\/radiology\/wp-content\/uploads\/sites\/191\/2022\/06\/HSR210504-Adult-Consent_06-30-22_Marathon.pdf\" target=\"_blank\" rel=\"noopener\"><strong>Click here to view\/download the Consent Form<\/strong><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>HSR210504: Machine Learning to Quantify Fat on Low-Dose CT What problem is this study trying to solve? This study is trying to find an alternate way in which we monitor obesity and fat composition, particularly in respect to healthy individuals. By agreeing to participate in this study as a health volunteer, you will be asked [&hellip;]<\/p>\n","protected":false},"author":1923,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":"","_links_to":"","_links_to_target":""},"tags":[],"class_list":["post-11862","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.1.1 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Half and Full Marathon Training Program Body Fat Composition Study - Radiology and Medical Imaging<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/med.virginia.edu\/radiology\/marathon-training-program-study\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Half and Full Marathon Training Program Body Fat Composition Study - Radiology and Medical Imaging\" \/>\n<meta property=\"og:description\" content=\"HSR210504: Machine Learning to Quantify Fat on Low-Dose CT What problem is this study trying to solve? 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