The Counterweight programme: Prevalence of CVD risk factors by body mass index and the impact of 10% weight change
Summary Objectives To examine relationships between body mass index (BMI), prevalence of physician-recorded cardiovascular disease (CVD) risk factors in primary care, and changes in risk with 10% weight change. Methods The Counterweight Project conducted a baseline cross-sectional survey of medical...
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creator | McQuigg, M Brown, J.E Broom, J Laws, R.A Reckless, J.P.D Noble, P.A Kumar, S McCombie, E.L Lean, M.E.J Lyons, F.G Frost, G.S Quinn, M.F Barth, J.H Haynes, S.M Finer, N Haslam, D.W Ross, H.M Hole, D.J Radziwonik, S |
description | Summary Objectives To examine relationships between body mass index (BMI), prevalence of physician-recorded cardiovascular disease (CVD) risk factors in primary care, and changes in risk with 10% weight change. Methods The Counterweight Project conducted a baseline cross-sectional survey of medical records of 6150 obese (BMI ≥ 30 kg/m2 ), 1150 age- and sex-matched overweight (BMI 25 to |
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Methods The Counterweight Project conducted a baseline cross-sectional survey of medical records of 6150 obese (BMI ≥ 30 kg/m2 ), 1150 age- and sex-matched overweight (BMI 25 to <30 kg/m2 ), and 1150 age- and sex-matched normal weight (BMI 18.5 to <25 kg/m2 ) controls, in primary care. Data were collected for the previous 18 months to examine BMI and disease prevalence, and then modelled to show the potential effect of 10% weight loss or gain on risk. Results Obese patients develop more CVD risk factors than normal weight controls. BMI ≥ 40 kg/m2 exhibits increased prevalence of type 2 diabetes mellitus (DM), odds ratio (OR) men: 6.16 ( p < 0.001); women: 7.82 ( p < 0.001) and hypertension OR men: 5.51 ( p < 0.001); women: 4.16 ( p < 0.001). Dyslipidaemia peaked around BMI 35 to <37.5 kg/m2 , OR men: 3.26 ( p < 0.001); women 3.76 ( p < 0.001) and CVD at BMI 37.5 to <40 kg/m2 in men, OR 4.48 ( p < 0.001) and BMI ≥ 40 kg/m2 in women, OR 3.98 ( p < 0.001). A 10% weight loss from the sample mean of 32.5 kg/m2 reduced the OR for type 2 DM by 30% and CVD by 20%, while 10% weight gain increased type 2 DM risk by more than 35% and CVD by 20%. Conclusion Obesity plays a fundamental role in CVD risk, which is reduced with weight loss. Weight management intervention strategies should be a public health priority to reduce the burden of disease in the population.]]></description><identifier>ISSN: 1871-403X</identifier><identifier>DOI: 10.1016/j.orcp.2008.01.002</identifier><identifier>PMID: 24351674</identifier><language>eng</language><publisher>Netherlands</publisher><subject>Endocrinology & Metabolism ; Internal Medicine</subject><ispartof>Obesity research & clinical practice, 2008-03, Vol.2 (1), p.15-27</ispartof><rights>Asian Oceanian Association for the Study of Obesity</rights><rights>© 2008 Asian Oceanian Association for the Study of Obesity . Published by Elsevier Ltd. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c358t-bccad6bdc736a7c6aa190e725af5d1b452b842728aa7897bfcb127fd79a378753</citedby><cites>FETCH-LOGICAL-c358t-bccad6bdc736a7c6aa190e725af5d1b452b842728aa7897bfcb127fd79a378753</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27903,27904</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24351674$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>McQuigg, M</creatorcontrib><creatorcontrib>Brown, J.E</creatorcontrib><creatorcontrib>Broom, J</creatorcontrib><creatorcontrib>Laws, R.A</creatorcontrib><creatorcontrib>Reckless, J.P.D</creatorcontrib><creatorcontrib>Noble, P.A</creatorcontrib><creatorcontrib>Kumar, S</creatorcontrib><creatorcontrib>McCombie, E.L</creatorcontrib><creatorcontrib>Lean, M.E.J</creatorcontrib><creatorcontrib>Lyons, F.G</creatorcontrib><creatorcontrib>Frost, G.S</creatorcontrib><creatorcontrib>Quinn, M.F</creatorcontrib><creatorcontrib>Barth, J.H</creatorcontrib><creatorcontrib>Haynes, S.M</creatorcontrib><creatorcontrib>Finer, N</creatorcontrib><creatorcontrib>Haslam, D.W</creatorcontrib><creatorcontrib>Ross, H.M</creatorcontrib><creatorcontrib>Hole, D.J</creatorcontrib><creatorcontrib>Radziwonik, S</creatorcontrib><title>The Counterweight programme: Prevalence of CVD risk factors by body mass index and the impact of 10% weight change</title><title>Obesity research & clinical practice</title><addtitle>Obes Res Clin Pract</addtitle><description><![CDATA[Summary Objectives To examine relationships between body mass index (BMI), prevalence of physician-recorded cardiovascular disease (CVD) risk factors in primary care, and changes in risk with 10% weight change. Methods The Counterweight Project conducted a baseline cross-sectional survey of medical records of 6150 obese (BMI ≥ 30 kg/m2 ), 1150 age- and sex-matched overweight (BMI 25 to <30 kg/m2 ), and 1150 age- and sex-matched normal weight (BMI 18.5 to <25 kg/m2 ) controls, in primary care. Data were collected for the previous 18 months to examine BMI and disease prevalence, and then modelled to show the potential effect of 10% weight loss or gain on risk. Results Obese patients develop more CVD risk factors than normal weight controls. BMI ≥ 40 kg/m2 exhibits increased prevalence of type 2 diabetes mellitus (DM), odds ratio (OR) men: 6.16 ( p < 0.001); women: 7.82 ( p < 0.001) and hypertension OR men: 5.51 ( p < 0.001); women: 4.16 ( p < 0.001). Dyslipidaemia peaked around BMI 35 to <37.5 kg/m2 , OR men: 3.26 ( p < 0.001); women 3.76 ( p < 0.001) and CVD at BMI 37.5 to <40 kg/m2 in men, OR 4.48 ( p < 0.001) and BMI ≥ 40 kg/m2 in women, OR 3.98 ( p < 0.001). A 10% weight loss from the sample mean of 32.5 kg/m2 reduced the OR for type 2 DM by 30% and CVD by 20%, while 10% weight gain increased type 2 DM risk by more than 35% and CVD by 20%. Conclusion Obesity plays a fundamental role in CVD risk, which is reduced with weight loss. Weight management intervention strategies should be a public health priority to reduce the burden of disease in the population.]]></description><subject>Endocrinology & Metabolism</subject><subject>Internal Medicine</subject><issn>1871-403X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2008</creationdate><recordtype>article</recordtype><recordid>eNo9kU1v1DAQhn0AtaXlD3BAviBx2TC249jhgIQWCkiVQKIgbpbtTHa9zcdiJ6X773G0285lLs_7SvMMIa8YFAxY9W5XjNHvCw6gC2AFAH9GLphWbFWC-HNOXqS0A5CyLsUZOeelkKxS5QWJt1uk63EeJoz_MGy2E93HcRNt3-N7-iPive1w8EjHlq5_f6IxpDvaWj-NMVF3oG5sDrS3KdEwNPhA7dDQKVeGfp-hJcXgDT01-60dNnhFnre2S_jytC_Jr-vPt-uvq5vvX76tP96svJB6WjnvbVO5xitRWeUra1kNqLi0rWyYKyV3uuSKa2uVrpVrvWNctY2qrVBaSXFJ3h5780F_Z0yT6UPy2HV2wHFOhpU1KCGl0BnlR9THMaWIrdnH0Nt4MAzM4tfszOLXLH4NMJP95tDrU__semyeIo9yM_DhCGC-8j5gNL4LQ_C2u8MDpt04xyELMMwkbsD8XN61fAs05Cml-A9JYY7y</recordid><startdate>20080301</startdate><enddate>20080301</enddate><creator>McQuigg, M</creator><creator>Brown, J.E</creator><creator>Broom, J</creator><creator>Laws, R.A</creator><creator>Reckless, J.P.D</creator><creator>Noble, P.A</creator><creator>Kumar, S</creator><creator>McCombie, E.L</creator><creator>Lean, M.E.J</creator><creator>Lyons, F.G</creator><creator>Frost, G.S</creator><creator>Quinn, M.F</creator><creator>Barth, J.H</creator><creator>Haynes, S.M</creator><creator>Finer, N</creator><creator>Haslam, D.W</creator><creator>Ross, H.M</creator><creator>Hole, D.J</creator><creator>Radziwonik, S</creator><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20080301</creationdate><title>The Counterweight programme: Prevalence of CVD risk factors by body mass index and the impact of 10% weight change</title><author>McQuigg, M ; Brown, J.E ; Broom, J ; Laws, R.A ; Reckless, J.P.D ; Noble, P.A ; Kumar, S ; McCombie, E.L ; Lean, M.E.J ; Lyons, F.G ; Frost, G.S ; Quinn, M.F ; Barth, J.H ; Haynes, S.M ; Finer, N ; Haslam, D.W ; Ross, H.M ; Hole, D.J ; Radziwonik, S</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c358t-bccad6bdc736a7c6aa190e725af5d1b452b842728aa7897bfcb127fd79a378753</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Endocrinology & Metabolism</topic><topic>Internal Medicine</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>McQuigg, M</creatorcontrib><creatorcontrib>Brown, J.E</creatorcontrib><creatorcontrib>Broom, J</creatorcontrib><creatorcontrib>Laws, R.A</creatorcontrib><creatorcontrib>Reckless, J.P.D</creatorcontrib><creatorcontrib>Noble, P.A</creatorcontrib><creatorcontrib>Kumar, S</creatorcontrib><creatorcontrib>McCombie, E.L</creatorcontrib><creatorcontrib>Lean, M.E.J</creatorcontrib><creatorcontrib>Lyons, F.G</creatorcontrib><creatorcontrib>Frost, G.S</creatorcontrib><creatorcontrib>Quinn, M.F</creatorcontrib><creatorcontrib>Barth, J.H</creatorcontrib><creatorcontrib>Haynes, S.M</creatorcontrib><creatorcontrib>Finer, N</creatorcontrib><creatorcontrib>Haslam, D.W</creatorcontrib><creatorcontrib>Ross, H.M</creatorcontrib><creatorcontrib>Hole, D.J</creatorcontrib><creatorcontrib>Radziwonik, S</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Obesity research & clinical practice</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>McQuigg, M</au><au>Brown, J.E</au><au>Broom, J</au><au>Laws, R.A</au><au>Reckless, J.P.D</au><au>Noble, P.A</au><au>Kumar, S</au><au>McCombie, E.L</au><au>Lean, M.E.J</au><au>Lyons, F.G</au><au>Frost, G.S</au><au>Quinn, M.F</au><au>Barth, J.H</au><au>Haynes, S.M</au><au>Finer, N</au><au>Haslam, D.W</au><au>Ross, H.M</au><au>Hole, D.J</au><au>Radziwonik, S</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The Counterweight programme: Prevalence of CVD risk factors by body mass index and the impact of 10% weight change</atitle><jtitle>Obesity research & clinical practice</jtitle><addtitle>Obes Res Clin Pract</addtitle><date>2008-03-01</date><risdate>2008</risdate><volume>2</volume><issue>1</issue><spage>15</spage><epage>27</epage><pages>15-27</pages><issn>1871-403X</issn><abstract><![CDATA[Summary Objectives To examine relationships between body mass index (BMI), prevalence of physician-recorded cardiovascular disease (CVD) risk factors in primary care, and changes in risk with 10% weight change. Methods The Counterweight Project conducted a baseline cross-sectional survey of medical records of 6150 obese (BMI ≥ 30 kg/m2 ), 1150 age- and sex-matched overweight (BMI 25 to <30 kg/m2 ), and 1150 age- and sex-matched normal weight (BMI 18.5 to <25 kg/m2 ) controls, in primary care. Data were collected for the previous 18 months to examine BMI and disease prevalence, and then modelled to show the potential effect of 10% weight loss or gain on risk. Results Obese patients develop more CVD risk factors than normal weight controls. BMI ≥ 40 kg/m2 exhibits increased prevalence of type 2 diabetes mellitus (DM), odds ratio (OR) men: 6.16 ( p < 0.001); women: 7.82 ( p < 0.001) and hypertension OR men: 5.51 ( p < 0.001); women: 4.16 ( p < 0.001). Dyslipidaemia peaked around BMI 35 to <37.5 kg/m2 , OR men: 3.26 ( p < 0.001); women 3.76 ( p < 0.001) and CVD at BMI 37.5 to <40 kg/m2 in men, OR 4.48 ( p < 0.001) and BMI ≥ 40 kg/m2 in women, OR 3.98 ( p < 0.001). A 10% weight loss from the sample mean of 32.5 kg/m2 reduced the OR for type 2 DM by 30% and CVD by 20%, while 10% weight gain increased type 2 DM risk by more than 35% and CVD by 20%. Conclusion Obesity plays a fundamental role in CVD risk, which is reduced with weight loss. Weight management intervention strategies should be a public health priority to reduce the burden of disease in the population.]]></abstract><cop>Netherlands</cop><pmid>24351674</pmid><doi>10.1016/j.orcp.2008.01.002</doi><tpages>13</tpages></addata></record> |
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title | The Counterweight programme: Prevalence of CVD risk factors by body mass index and the impact of 10% weight change |
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