Defining obesity cut points in a multiethnic population
Body mass index (BMI) is widely used to assess risk for cardiovascular disease and type 2 diabetes. Cut points for the classification of obesity (BMI >30 kg/m2) have been developed and validated among people of European descent. It is unknown whether these cut points are appropriate for non-Europ...
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Veröffentlicht in: | Circulation (New York, N.Y.) N.Y.), 2007-04, Vol.115 (16), p.2111-2118 |
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description | Body mass index (BMI) is widely used to assess risk for cardiovascular disease and type 2 diabetes. Cut points for the classification of obesity (BMI >30 kg/m2) have been developed and validated among people of European descent. It is unknown whether these cut points are appropriate for non-European populations. We assessed the metabolic risk associated with BMI among South Asians, Chinese, Aboriginals, and Europeans.
We randomly sampled 1078 subjects from 4 ethnic groups (289 South Asians, 281 Chinese, 207 Aboriginals, and 301 Europeans) from 4 regions in Canada. Principal components factor analysis was used to derive underlying latent or "hidden" factors associated with 14 clinical and biochemical cardiometabolic markers. Ethnic-specific BMI cut points were derived for 3 cardiometabolic factors. Three primary latent factors emerged that accounted for 56% of the variation in markers of glucose metabolism, lipid metabolism, and blood pressure. For a given BMI, elevated levels of glucose- and lipid-related factors were more likely to be present in South Asians, Chinese, and Aboriginals compared with Europeans, and elevated levels of the blood pressure-related factor were more likely to be present among Chinese compared with Europeans. The cut point to define obesity, as defined by distribution of glucose and lipid factors, is lower by approximately 6 kg/m2 among non-European groups compared with Europeans.
Revisions may be warranted for BMI cut points to define obesity among South Asians, Chinese, and Aboriginals. Using these revised cut points would greatly increase the estimated burden of obesity-related metabolic disorders among non-European populations. |
doi_str_mv | 10.1161/circulationaha.106.635011 |
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We randomly sampled 1078 subjects from 4 ethnic groups (289 South Asians, 281 Chinese, 207 Aboriginals, and 301 Europeans) from 4 regions in Canada. Principal components factor analysis was used to derive underlying latent or "hidden" factors associated with 14 clinical and biochemical cardiometabolic markers. Ethnic-specific BMI cut points were derived for 3 cardiometabolic factors. Three primary latent factors emerged that accounted for 56% of the variation in markers of glucose metabolism, lipid metabolism, and blood pressure. For a given BMI, elevated levels of glucose- and lipid-related factors were more likely to be present in South Asians, Chinese, and Aboriginals compared with Europeans, and elevated levels of the blood pressure-related factor were more likely to be present among Chinese compared with Europeans. The cut point to define obesity, as defined by distribution of glucose and lipid factors, is lower by approximately 6 kg/m2 among non-European groups compared with Europeans.
Revisions may be warranted for BMI cut points to define obesity among South Asians, Chinese, and Aboriginals. Using these revised cut points would greatly increase the estimated burden of obesity-related metabolic disorders among non-European populations.</description><identifier>ISSN: 0009-7322</identifier><identifier>EISSN: 1524-4539</identifier><identifier>DOI: 10.1161/circulationaha.106.635011</identifier><identifier>PMID: 17420343</identifier><identifier>CODEN: CIRCAZ</identifier><language>eng</language><publisher>Hagerstown, MD: Lippincott Williams & Wilkins</publisher><subject>Adult ; Aged ; American Native Continental Ancestry Group - statistics & numerical data ; Asian Continental Ancestry Group - statistics & numerical data ; Bangladesh - ethnology ; Biological and medical sciences ; Blood and lymphatic vessels ; Body Mass Index ; Canada - epidemiology ; Cardiology. Vascular system ; China - ethnology ; Diabetes Mellitus, Type 2 - epidemiology ; Diseases of the peripheral vessels. Diseases of the vena cava. Miscellaneous ; Dyslipidemias - ethnology ; Ethnic Groups - statistics & numerical data ; Europe - ethnology ; Female ; Glucose - metabolism ; Glucose Tolerance Test ; Humans ; India - ethnology ; Insulin - blood ; Insulin Resistance ; Lipids - blood ; Male ; Medical sciences ; Middle Aged ; Obesity - diagnosis ; Obesity - ethnology ; Overweight - ethnology ; Pakistan - ethnology ; Prevalence ; Reference Values ; Risk Factors ; Sri Lanka - ethnology</subject><ispartof>Circulation (New York, N.Y.), 2007-04, Vol.115 (16), p.2111-2118</ispartof><rights>2007 INIST-CNRS</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c592t-96b32c42a7fbefe980c7a05ea5bee678007dc7db04dcf42bfca0166929e8ea333</citedby><cites>FETCH-LOGICAL-c592t-96b32c42a7fbefe980c7a05ea5bee678007dc7db04dcf42bfca0166929e8ea333</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,3685,27922,27923</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=18716400$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/17420343$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>RAZAK, Fahad</creatorcontrib><creatorcontrib>ANAND, Sonia S</creatorcontrib><creatorcontrib>SHANNON, Harry</creatorcontrib><creatorcontrib>VUKSAN, Vladimir</creatorcontrib><creatorcontrib>DAVIS, Bonnie</creatorcontrib><creatorcontrib>JACOBS, Ruby</creatorcontrib><creatorcontrib>TEO, Koon K</creatorcontrib><creatorcontrib>MCQUEEN, Matthew</creatorcontrib><creatorcontrib>YUSUF, Salim</creatorcontrib><title>Defining obesity cut points in a multiethnic population</title><title>Circulation (New York, N.Y.)</title><addtitle>Circulation</addtitle><description>Body mass index (BMI) is widely used to assess risk for cardiovascular disease and type 2 diabetes. Cut points for the classification of obesity (BMI >30 kg/m2) have been developed and validated among people of European descent. It is unknown whether these cut points are appropriate for non-European populations. We assessed the metabolic risk associated with BMI among South Asians, Chinese, Aboriginals, and Europeans.
We randomly sampled 1078 subjects from 4 ethnic groups (289 South Asians, 281 Chinese, 207 Aboriginals, and 301 Europeans) from 4 regions in Canada. Principal components factor analysis was used to derive underlying latent or "hidden" factors associated with 14 clinical and biochemical cardiometabolic markers. Ethnic-specific BMI cut points were derived for 3 cardiometabolic factors. Three primary latent factors emerged that accounted for 56% of the variation in markers of glucose metabolism, lipid metabolism, and blood pressure. For a given BMI, elevated levels of glucose- and lipid-related factors were more likely to be present in South Asians, Chinese, and Aboriginals compared with Europeans, and elevated levels of the blood pressure-related factor were more likely to be present among Chinese compared with Europeans. The cut point to define obesity, as defined by distribution of glucose and lipid factors, is lower by approximately 6 kg/m2 among non-European groups compared with Europeans.
Revisions may be warranted for BMI cut points to define obesity among South Asians, Chinese, and Aboriginals. Using these revised cut points would greatly increase the estimated burden of obesity-related metabolic disorders among non-European populations.</description><subject>Adult</subject><subject>Aged</subject><subject>American Native Continental Ancestry Group - statistics & numerical data</subject><subject>Asian Continental Ancestry Group - statistics & numerical data</subject><subject>Bangladesh - ethnology</subject><subject>Biological and medical sciences</subject><subject>Blood and lymphatic vessels</subject><subject>Body Mass Index</subject><subject>Canada - epidemiology</subject><subject>Cardiology. Vascular system</subject><subject>China - ethnology</subject><subject>Diabetes Mellitus, Type 2 - epidemiology</subject><subject>Diseases of the peripheral vessels. Diseases of the vena cava. Miscellaneous</subject><subject>Dyslipidemias - ethnology</subject><subject>Ethnic Groups - statistics & numerical data</subject><subject>Europe - ethnology</subject><subject>Female</subject><subject>Glucose - metabolism</subject><subject>Glucose Tolerance Test</subject><subject>Humans</subject><subject>India - ethnology</subject><subject>Insulin - blood</subject><subject>Insulin Resistance</subject><subject>Lipids - blood</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Middle Aged</subject><subject>Obesity - diagnosis</subject><subject>Obesity - ethnology</subject><subject>Overweight - ethnology</subject><subject>Pakistan - ethnology</subject><subject>Prevalence</subject><subject>Reference Values</subject><subject>Risk Factors</subject><subject>Sri Lanka - ethnology</subject><issn>0009-7322</issn><issn>1524-4539</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2007</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkEtLw0AUhQdRtFb_gsSF7lLvvDPLEB8tFAvSrsNkMrEjeZlJFv33pjTQpavLOXznHjgIPWJYYCzwi3GdGUrdu6bWe73AIBaCcsD4As0wJyxknKpLNAMAFUpKyA269f5nlIJKfo1usGQEKKMzJF9t4WpXfwdNZr3rD4EZ-qBtXN37wNWBDqqh7J3t97Uzo99OvXfoqtClt_fTnaPd-9s2WYbrzccqideh4Yr0oRIZJYYRLYvMFlZFYKQGbjXPrBUyApC5kXkGLDcFI1lhNGAhFFE2sppSOkfPp79t1_wO1vdp5byxZalr2ww-lcAIV4r8C2IlOOfiCKoTaLrG-84Wadu5SneHFEN6nDdNVl_Jbh1vV5vPeBmPtkhP847Zh6lkyCqbn5PTniPwNAHaG10Wna6N82cuklgwAPoHfy-Gdg</recordid><startdate>20070424</startdate><enddate>20070424</enddate><creator>RAZAK, Fahad</creator><creator>ANAND, Sonia S</creator><creator>SHANNON, Harry</creator><creator>VUKSAN, Vladimir</creator><creator>DAVIS, Bonnie</creator><creator>JACOBS, Ruby</creator><creator>TEO, Koon K</creator><creator>MCQUEEN, Matthew</creator><creator>YUSUF, Salim</creator><general>Lippincott Williams & Wilkins</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TS</scope><scope>7X8</scope></search><sort><creationdate>20070424</creationdate><title>Defining obesity cut points in a multiethnic population</title><author>RAZAK, Fahad ; ANAND, Sonia S ; SHANNON, Harry ; VUKSAN, Vladimir ; DAVIS, Bonnie ; JACOBS, Ruby ; TEO, Koon K ; MCQUEEN, Matthew ; YUSUF, Salim</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c592t-96b32c42a7fbefe980c7a05ea5bee678007dc7db04dcf42bfca0166929e8ea333</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2007</creationdate><topic>Adult</topic><topic>Aged</topic><topic>American Native Continental Ancestry Group - statistics & numerical data</topic><topic>Asian Continental Ancestry Group - statistics & numerical data</topic><topic>Bangladesh - ethnology</topic><topic>Biological and medical sciences</topic><topic>Blood and lymphatic vessels</topic><topic>Body Mass Index</topic><topic>Canada - epidemiology</topic><topic>Cardiology. Vascular system</topic><topic>China - ethnology</topic><topic>Diabetes Mellitus, Type 2 - epidemiology</topic><topic>Diseases of the peripheral vessels. Diseases of the vena cava. Miscellaneous</topic><topic>Dyslipidemias - ethnology</topic><topic>Ethnic Groups - statistics & numerical data</topic><topic>Europe - ethnology</topic><topic>Female</topic><topic>Glucose - metabolism</topic><topic>Glucose Tolerance Test</topic><topic>Humans</topic><topic>India - ethnology</topic><topic>Insulin - blood</topic><topic>Insulin Resistance</topic><topic>Lipids - blood</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Middle Aged</topic><topic>Obesity - diagnosis</topic><topic>Obesity - ethnology</topic><topic>Overweight - ethnology</topic><topic>Pakistan - ethnology</topic><topic>Prevalence</topic><topic>Reference Values</topic><topic>Risk Factors</topic><topic>Sri Lanka - ethnology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>RAZAK, Fahad</creatorcontrib><creatorcontrib>ANAND, Sonia S</creatorcontrib><creatorcontrib>SHANNON, Harry</creatorcontrib><creatorcontrib>VUKSAN, Vladimir</creatorcontrib><creatorcontrib>DAVIS, Bonnie</creatorcontrib><creatorcontrib>JACOBS, Ruby</creatorcontrib><creatorcontrib>TEO, Koon K</creatorcontrib><creatorcontrib>MCQUEEN, Matthew</creatorcontrib><creatorcontrib>YUSUF, Salim</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Physical Education Index</collection><collection>MEDLINE - Academic</collection><jtitle>Circulation (New York, N.Y.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>RAZAK, Fahad</au><au>ANAND, Sonia S</au><au>SHANNON, Harry</au><au>VUKSAN, Vladimir</au><au>DAVIS, Bonnie</au><au>JACOBS, Ruby</au><au>TEO, Koon K</au><au>MCQUEEN, Matthew</au><au>YUSUF, Salim</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Defining obesity cut points in a multiethnic population</atitle><jtitle>Circulation (New York, N.Y.)</jtitle><addtitle>Circulation</addtitle><date>2007-04-24</date><risdate>2007</risdate><volume>115</volume><issue>16</issue><spage>2111</spage><epage>2118</epage><pages>2111-2118</pages><issn>0009-7322</issn><eissn>1524-4539</eissn><coden>CIRCAZ</coden><abstract>Body mass index (BMI) is widely used to assess risk for cardiovascular disease and type 2 diabetes. Cut points for the classification of obesity (BMI >30 kg/m2) have been developed and validated among people of European descent. It is unknown whether these cut points are appropriate for non-European populations. We assessed the metabolic risk associated with BMI among South Asians, Chinese, Aboriginals, and Europeans.
We randomly sampled 1078 subjects from 4 ethnic groups (289 South Asians, 281 Chinese, 207 Aboriginals, and 301 Europeans) from 4 regions in Canada. Principal components factor analysis was used to derive underlying latent or "hidden" factors associated with 14 clinical and biochemical cardiometabolic markers. Ethnic-specific BMI cut points were derived for 3 cardiometabolic factors. Three primary latent factors emerged that accounted for 56% of the variation in markers of glucose metabolism, lipid metabolism, and blood pressure. For a given BMI, elevated levels of glucose- and lipid-related factors were more likely to be present in South Asians, Chinese, and Aboriginals compared with Europeans, and elevated levels of the blood pressure-related factor were more likely to be present among Chinese compared with Europeans. The cut point to define obesity, as defined by distribution of glucose and lipid factors, is lower by approximately 6 kg/m2 among non-European groups compared with Europeans.
Revisions may be warranted for BMI cut points to define obesity among South Asians, Chinese, and Aboriginals. Using these revised cut points would greatly increase the estimated burden of obesity-related metabolic disorders among non-European populations.</abstract><cop>Hagerstown, MD</cop><pub>Lippincott Williams & Wilkins</pub><pmid>17420343</pmid><doi>10.1161/circulationaha.106.635011</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adult Aged American Native Continental Ancestry Group - statistics & numerical data Asian Continental Ancestry Group - statistics & numerical data Bangladesh - ethnology Biological and medical sciences Blood and lymphatic vessels Body Mass Index Canada - epidemiology Cardiology. Vascular system China - ethnology Diabetes Mellitus, Type 2 - epidemiology Diseases of the peripheral vessels. Diseases of the vena cava. Miscellaneous Dyslipidemias - ethnology Ethnic Groups - statistics & numerical data Europe - ethnology Female Glucose - metabolism Glucose Tolerance Test Humans India - ethnology Insulin - blood Insulin Resistance Lipids - blood Male Medical sciences Middle Aged Obesity - diagnosis Obesity - ethnology Overweight - ethnology Pakistan - ethnology Prevalence Reference Values Risk Factors Sri Lanka - ethnology |
title | Defining obesity cut points in a multiethnic population |
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