{"markup":"\u003C?xml version=\u00221.0\u0022 encoding=\u0022UTF-8\u0022 ?\u003E\n    \u003Chtml version=\u0022HTML+RDFa+MathML 1.1\u0022\n    xmlns:content=\u0022http:\/\/purl.org\/rss\/1.0\/modules\/content\/\u0022\n    xmlns:dc=\u0022http:\/\/purl.org\/dc\/terms\/\u0022\n    xmlns:foaf=\u0022http:\/\/xmlns.com\/foaf\/0.1\/\u0022\n    xmlns:og=\u0022http:\/\/ogp.me\/ns#\u0022\n    xmlns:rdfs=\u0022http:\/\/www.w3.org\/2000\/01\/rdf-schema#\u0022\n    xmlns:sioc=\u0022http:\/\/rdfs.org\/sioc\/ns#\u0022\n    xmlns:sioct=\u0022http:\/\/rdfs.org\/sioc\/types#\u0022\n    xmlns:skos=\u0022http:\/\/www.w3.org\/2004\/02\/skos\/core#\u0022\n    xmlns:xsd=\u0022http:\/\/www.w3.org\/2001\/XMLSchema#\u0022\n    xmlns:mml=\u0022http:\/\/www.w3.org\/1998\/Math\/MathML\u0022\u003E\n  \u003Chead\u003E\u003Cscript type=\u0022text\/javascript\u0022 src=\u0022http:\/\/d282kpwvnogo5m.cloudfront.net\/sites\/default\/files\/js\/js_itu2PgFdrjV-docKmLK8Jn5oXe_05RgvQh73eOhI_mE.js\u0022\u003E\u003C\/script\u003E\n\u003Cscript type=\u0022text\/javascript\u0022 src=\u0022http:\/\/mdc.sagepub.com\/sites\/all\/modules\/highwire\/highwire\/plugins\/highwire_markup_process\/js\/highwire_at_symbol.js?nzn3v1\u0022\u003E\u003C\/script\u003E\n\u003Cscript type=\u0022text\/javascript\u0022 src=\u0022http:\/\/mdc.sagepub.com\/sites\/all\/modules\/highwire\/highwire\/plugins\/highwire_markup_process\/js\/highwire_article_reference_popup.js?nzn3v1\u0022\u003E\u003C\/script\u003E\n\u003Cscript type=\u0022text\/javascript\u0022 src=\u0022http:\/\/d282kpwvnogo5m.cloudfront.net\/sites\/default\/files\/js\/js_I8yX6RYPZb7AtMcDUA3QKDZqVkvEn35ED11_1i7vVpc.js\u0022\u003E\u003C\/script\u003E\n\u003Cscript type=\u0022text\/javascript\u0022\u003E\n\u003C!--\/\/--\u003E\u003C![CDATA[\/\/\u003E\u003C!--\n(function(i,s,o,g,r,a,m){i[\u0022GoogleAnalyticsObject\u0022]=r;i[r]=i[r]||function(){(i[r].q=i[r].q||[]).push(arguments)},i[r].l=1*new Date();a=s.createElement(o),m=s.getElementsByTagName(o)[0];a.async=1;a.src=g;m.parentNode.insertBefore(a,m)})(window,document,\u0022script\u0022,\u0022\/\/www.google-analytics.com\/analytics.js\u0022,\u0022ga\u0022);ga(\u0022create\u0022, \u0022UA-15605596-27\u0022, {\u0022cookieDomain\u0022:\u0022auto\u0022});ga(\u0022set\u0022, \u0022page\u0022, location.pathname + location.search + location.hash);ga(\u0022send\u0022, \u0022pageview\u0022);ga(\u0027create\u0027, \u0027UA-189672-26\u0027, \u0027auto\u0027, {\u0027name\u0027: \u0027hwTracker\u0027});\r\nga(\u0027hwTracker.send\u0027, \u0027pageview\u0027);\n\/\/--\u003E\u003C!]]\u003E\n\u003C\/script\u003E\n\u003Cscript type=\u0022text\/javascript\u0022\u003E\n\u003C!--\/\/--\u003E\u003C![CDATA[\/\/\u003E\u003C!--\njQuery.extend(Drupal.settings, {\u0022basePath\u0022:\u0022\\\/\u0022,\u0022pathPrefix\u0022:\u0022\u0022,\u0022highwire\u0022:{\u0022markup\u0022:[{\u0022requested\u0022:\u0022full-text\u0022,\u0022variant\u0022:\u0022full-text\u0022,\u0022view\u0022:\u0022full\u0022,\u0022pisa\u0022:\u0022spmdc;11\\\/2\\\/11\u0022},{\u0022requested\u0022:\u0022long\u0022,\u0022variant\u0022:\u0022full-text\u0022,\u0022view\u0022:\u0022full\u0022,\u0022pisa\u0022:\u0022spmdc;11\\\/2\\\/11\u0022}],\u0022ac\u0022:{\u0022spmdc;11\\\/2\\\/11\u0022:{\u0022access\u0022:{\u0022reprint\u0022:true,\u0022full\u0022:true},\u0022pisa_id\u0022:\u0022spmdc;11\\\/2\\\/11\u0022,\u0022atom_uri\u0022:\u0022\u0022,\u0022jcode\u0022:\u0022spmdc\u0022}}},\u0022googleanalytics\u0022:{\u0022trackOutbound\u0022:1,\u0022trackMailto\u0022:1,\u0022trackDownload\u0022:1,\u0022trackDownloadExtensions\u0022:\u00227z|aac|arc|arj|asf|asx|avi|bin|csv|doc(x|m)?|dot(x|m)?|exe|flv|gif|gz|gzip|hqx|jar|jpe?g|js|mp(2|3|4|e?g)|mov(ie)?|msi|msp|pdf|phps|png|ppt(x|m)?|pot(x|m)?|pps(x|m)?|ppam|sld(x|m)?|thmx|qtm?|ra(m|r)?|sea|sit|tar|tgz|torrent|txt|wav|wma|wmv|wpd|xls(x|m|b)?|xlt(x|m)|xlam|xml|z|zip\u0022,\u0022trackUrlFragments\u0022:1},\u0022ajaxPageState\u0022:{\u0022js\u0022:{\u0022sites\\\/all\\\/libraries\\\/cluetip\\\/jquery.cluetip.js\u0022:1,\u0022sites\\\/all\\\/libraries\\\/cluetip\\\/lib\\\/jquery.hoverIntent.js\u0022:1,\u0022sites\\\/all\\\/libraries\\\/cluetip\\\/lib\\\/jquery.bgiframe.min.js\u0022:1,\u0022sites\\\/all\\\/modules\\\/highwire\\\/highwire\\\/plugins\\\/highwire_markup_process\\\/js\\\/highwire_at_symbol.js\u0022:1,\u0022sites\\\/all\\\/modules\\\/highwire\\\/highwire\\\/plugins\\\/highwire_markup_process\\\/js\\\/highwire_article_reference_popup.js\u0022:1,\u0022sites\\\/all\\\/modules\\\/contrib\\\/google_analytics\\\/googleanalytics.js\u0022:1,\u00220\u0022:1}}});\n\/\/--\u003E\u003C!]]\u003E\n\u003C\/script\u003E\n\u003Clink type=\u0022text\/css\u0022 rel=\u0022stylesheet\u0022 href=\u0022\/\/d282kpwvnogo5m.cloudfront.net\/sites\/default\/files\/advagg_css\/css__ce2QY63WIanKyr8eSq7eavr1XQRRmFD6ZSmwpyJi8lM__zXwFqpqmxrZOXXcd_TpBQpjuELbmIP9wBR5UuTDWAO4__YJWWMMdfCJuAFm5cUEp88OsodhO3ZA-2lzRfoBsSlk4.css\u0022 media=\u0022all\u0022 \/\u003E\n\u003Clink rel=\u0027stylesheet\u0027 type=\u0027text\/css\u0027 href=\u0027\/sites\/all\/modules\/contrib\/panels\/plugins\/layouts\/onecol\/onecol.css\u0027 \/\u003E\u003C\/head\u003E\u003Cbody\u003E\u003Cdiv class=\u0022panels-ajax-tab-panel panels-ajax-tab-panel-sageoa-tab-art\u0022\u003E\u003Cdiv class=\u0022panel-display panel-1col clearfix\u0022 \u003E\n  \u003Cdiv class=\u0022panel-panel panel-col\u0022\u003E\n    \u003Cdiv\u003E\u003Cdiv class=\u0022panel-pane pane-highwire-markup\u0022 \u003E\n  \n      \n  \n  \u003Cdiv class=\u0022pane-content\u0022\u003E\n    \u003Cdiv class=\u0022highwire-markup\u0022\u003E\u003Cdiv xmlns=\u0022http:\/\/www.w3.org\/1999\/xhtml\u0022 id=\u0022content-block-markup\u0022 xmlns:xhtml=\u0022http:\/\/www.w3.org\/1999\/xhtml\u0022\u003E\u003Cdiv class=\u0022article fulltext-view \u0022\u003E\u003Cspan class=\u0022highwire-journal-article-marker-start\u0022\u003E\u003C\/span\u003E\u003Cdiv class=\u0022section abstract\u0022 id=\u0022abstract-1\u0022\u003E\u003Ch2\u003ESummary\u003C\/h2\u003E\n            \u003Cp id=\u0022p-1\u0022\u003EStudying abdominal obesity provides important clues on the pathophysiology and natural history of diabetes and cardiovascular disease. This article provides recent insights on abdominal obesity and cardiometabolic risk from the European Prospective Investigation into Cancer [EPIC] study.\u003C\/p\u003E\n         \u003C\/div\u003E\u003Cul class=\u0022kwd-group\u0022\u003E\u003Cli class=\u0022kwd\u0022\u003EObesity\u003C\/li\u003E\u003Cli class=\u0022kwd\u0022\u003ECardiometabolic Disorder\u003C\/li\u003E\u003Cli class=\u0022kwd\u0022\u003EDiabetes \u0026amp; Endocrinology Clinical Trials\u003C\/li\u003E\u003C\/ul\u003E\u003Cp id=\u0022p-2\u0022\u003EStudying abdominal obesity provides important clues on the pathophysiology and natural history of diabetes and cardiovascular disease. Nick Wareham, MD, University of Cambridge, Cambridge, UK, described recent insights on abdominal obesity and cardiometabolic risk from the European Prospective Investigation into Cancer (EPIC).\u003C\/p\u003E\u003Cp id=\u0022p-3\u0022\u003EEPIC is a multinational cohort study that was designed to evaluate the relationships between dietary intake and health outcomes, including cancer, diabetes, and CVD, among more than 500,000 participants. As part of the EPIC study, the EPIC-Norfolk cohort included 25,633 men and women aged 40 to 74 years. According to Prof. Wareham, data from the EPIC-Europe and EPIC-Norfolk cohorts have demonstrated three main benefits in studying central obesity.\u003C\/p\u003E\u003Cdiv class=\u0022section\u0022 id=\u0022sec-1\u0022\u003E\n         \u003Ch2 class=\u0022\u0022\u003EUnderstanding Disease Etiology\u003C\/h2\u003E\n         \u003Cp id=\u0022p-4\u0022\u003ECompared with BMI as an index of obesity alone, measures of central obesity are a better indicator of cardiovascular risk. In one EPIC-Norfolk study, waist-to-hip ratio and waist circumference quintiles were stronger predictors of future coronary heart disease than BMI quintiles, even after adjusting for classical CV risk factors.\u003C\/p\u003E\n         \u003Cp id=\u0022p-5\u0022\u003EGenetic studies have identified collections of single-nucleotide polymorphisms that increase the risk of obesity when considered in aggregate. In one EPIC-Norfolk analysis, individuals who carried up to 4 risk alleles had a mean BMI of 25.5 kg\/m\u003Csup\u003E2\u003C\/sup\u003E, whereas those with 12 or more risk alleles had a BMI of approximately 27 kg\/m\u003Csup\u003E2\u003C\/sup\u003E. However, persons with abundant risk alleles are not necessarily destined for obesity. Indeed, individuals who are genetically predisposed to obesity appear to benefit even more from having an active lifestyle than those with few genetic markers for obesity.\u003C\/p\u003E\n      \u003C\/div\u003E\u003Cdiv class=\u0022section\u0022 id=\u0022sec-2\u0022\u003E\n         \u003Ch2 class=\u0022\u0022\u003ECardiometabolic Risk Prediction\u003C\/h2\u003E\n         \u003Cp id=\u0022p-6\u0022\u003EOne reason for developing risk prediction tools is to be able to rank individual risk profiles and target therapy to those who are at greatest risk. For instance, the Framingham Risk Score is used to identify patients who are most likely to benefit from statin therapy because they are at the highest absolute risk. Incorporating measures of abdominal obesity may improve current tools that are used to predict the development of diabetes and CVD. In an EPIC-Europe analysis, waist-to-hip ratio was a better predictor of future diabetes risk than BMI quintile. A tool that includes both BMI and waist-to-hip ratio may be able to identify a subgroup of high-risk patients who are most likely to benefit from treatment to prevent progression to diabetes, Prof. Wareham said.\u003C\/p\u003E\n         \u003Cp id=\u0022p-7\u0022\u003ERisk prediction tools can also be used to motivate patients to change their behavior. For example, one simple tool allows patients to calculate their \u201cheart age,\u201d which may differ from their chronological age, based on risk factors, such as cholesterol level, blood pressure, BMI, and smoking history. After learning that their \u201cheart age\u201d may be higher than expected, patients may be more motivated to adhere to therapeutic lifestyle changes. We not only need to investigate what risk information is presented, but also how different ways of presenting risk in a numerical format can influence patient behavior. Going beyond the presentation of numbers, it is possible that visual imaging of the harm that an individual is doing to themselves by adverse lifestyles may also play a role. Patients shown images of their own smoking-related harm, such as an arterial scan showing an atheroma, are more likely to cease smoking. It is possible that a similar tool that highlights a patient\u0027s degree of regional adiposity may motivate them to improve adherence to lifestyle interventions.\u003C\/p\u003E\n      \u003C\/div\u003E\u003Cdiv class=\u0022section\u0022 id=\u0022sec-3\u0022\u003E\n         \u003Ch2 class=\u0022\u0022\u003EDemonstrating Response to Interventions\u003C\/h2\u003E\n         \u003Cp id=\u0022p-8\u0022\u003EWaist circumference and waist-to-hip ratio may overtake BMI as the preferred tools for demonstrating response to diet, physical activity, and other lifestyle and therapeutic interventions. Another analysis from the EPIC-Europe cohort showed a prospective association between physical activity levels and change in abdominal adiposity (waist circumference) independently of changes in BMI. In several lifestyle intervention trials, including the Hertfordshire Study, decreased waist circumference was an early indicator of success and improved cardiometabolic risk profile among older adults who were involved in an endurance exercise program.\u003C\/p\u003E\n         \u003Cp id=\u0022p-9\u0022\u003EIn summary, Prof. Wareham said that clinicians should select the best tools for measuring cardiometabolic risk that fit a specific purpose. That purpose may be to understand the etiology of disease, to predict disease in order to target therapy, to motivate individuals to change, or to be able to demonstrate response to lifestyle changes. Compared with BMI, measures of central obesity provide additional prognostic information and serve as more sensitive indicators of treatment response.\u003C\/p\u003E\n      \u003C\/div\u003E\u003Cul class=\u0022copyright-statement\u0022\u003E\u003Cli class=\u0022fn\u0022 id=\u0022copyright-statement-1\u0022\u003E\u00a9 2011 MD Conference Express\u003C\/li\u003E\u003C\/ul\u003E\u003Cspan class=\u0022highwire-journal-article-marker-end\u0022\u003E\u003C\/span\u003E\u003C\/div\u003E\u003Cspan id=\u0022related-urls\u0022\u003E\u003C\/span\u003E\u003C\/div\u003E\u003Ca href=\u0022http:\/\/mdc.sagepub.com\/content\/11\/2\/11.abstract\u0022 class=\u0022hw-link hw-link-article-abstract\u0022 data-icon-position=\u0022\u0022 data-hide-link-title=\u00220\u0022\u003EView Summary\u003C\/a\u003E\u003C\/div\u003E  \u003C\/div\u003E\n\n  \n  \u003C\/div\u003E\n\u003C\/div\u003E\n  \u003C\/div\u003E\n\u003C\/div\u003E\n\u003C\/div\u003E\u003Cscript type=\u0022text\/javascript\u0022 src=\u0022http:\/\/mdc.sagepub.com\/sites\/all\/modules\/highwire\/highwire\/plugins\/highwire_markup_process\/js\/highwire_openurl.js?nzn3v1\u0022\u003E\u003C\/script\u003E\n\u003C\/body\u003E\u003C\/html\u003E"}