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Derivation of anthropometric cut-off levels to define CVD risk in Sri Lankan adults
Obesity is associated with increased cardiovascular risk. Anthropometric cut-off values derived for Caucasians may not be applicable to other populations. The main objective of the present study was to derive population-specific anthropometric cut-off values to define high CVD risk for Sri Lankan ad...
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Published in: | British journal of nutrition 2011-04, Vol.105 (7), p.1084-1090 |
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description | Obesity is associated with increased cardiovascular risk. Anthropometric cut-off values derived for Caucasians may not be applicable to other populations. The main objective of the present study was to derive population-specific anthropometric cut-off values to define high CVD risk for Sri Lankan adults. A nationally representative sample of 4474 non-institutionalised adults aged ≥ 18 years was analysed. Cut-off values to provide optimum sensitivity and specificity were derived using receiver-operating characteristic curve analysis. BMI, waist circumference (WC), waist-to-hip ratio (WHR), blood pressure and overnight fasting venous blood samples were collected to measure glucose, HDL-cholesterol and TAG. An oral glucose tolerance test was also performed. The results suggested that the age-adjusted BMI, WC and WHR were significantly associated with all cardiovascular risk factors (P < 0·001). Cut-off values for BMI, WC and WHR for males were 20·7 kg/m2, 76·5 cm and 0·89, respectively. The respective values for females were 22·0 kg/m2, 76·3 cm and 0·85. The common cut-off value for BMI for males and females was 21·5 kg/m2. Similarly, WC and WHR cut-off values for both males and females were 76·3 cm and 0·87, respectively. The Asian and Caucasian anthropometric cut-off levels showed lower sensitivity and higher false negative percentage compared with newly derived cut-off levels. In conclusion, BMI, WC and WHR were all associated with increased CVD risk. We propose the following anthropometric cut-off points to determine high CVD risk level for Sri Lankan adults: BMI ≥ 21·5 kg/m2, WC ≥ 76 cm and WHR ≥ 0·85 (women) and 0·90 (men). |
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Anthropometric cut-off values derived for Caucasians may not be applicable to other populations. The main objective of the present study was to derive population-specific anthropometric cut-off values to define high CVD risk for Sri Lankan adults. A nationally representative sample of 4474 non-institutionalised adults aged ≥ 18 years was analysed. Cut-off values to provide optimum sensitivity and specificity were derived using receiver-operating characteristic curve analysis. BMI, waist circumference (WC), waist-to-hip ratio (WHR), blood pressure and overnight fasting venous blood samples were collected to measure glucose, HDL-cholesterol and TAG. An oral glucose tolerance test was also performed. The results suggested that the age-adjusted BMI, WC and WHR were significantly associated with all cardiovascular risk factors (P < 0·001). Cut-off values for BMI, WC and WHR for males were 20·7 kg/m2, 76·5 cm and 0·89, respectively. The respective values for females were 22·0 kg/m2, 76·3 cm and 0·85. The common cut-off value for BMI for males and females was 21·5 kg/m2. Similarly, WC and WHR cut-off values for both males and females were 76·3 cm and 0·87, respectively. The Asian and Caucasian anthropometric cut-off levels showed lower sensitivity and higher false negative percentage compared with newly derived cut-off levels. In conclusion, BMI, WC and WHR were all associated with increased CVD risk. We propose the following anthropometric cut-off points to determine high CVD risk level for Sri Lankan adults: BMI ≥ 21·5 kg/m2, WC ≥ 76 cm and WHR ≥ 0·85 (women) and 0·90 (men).</description><identifier>ISSN: 0007-1145</identifier><identifier>EISSN: 1475-2662</identifier><identifier>DOI: 10.1017/S0007114510004563</identifier><identifier>PMID: 21205381</identifier><identifier>CODEN: BJNUAV</identifier><language>eng</language><publisher>Cambridge: CABI Pub</publisher><subject>Adult ; adults ; Anthropometry ; Asian Continental Ancestry Group ; Biological and medical sciences ; blood ; Blood pressure ; Body Mass Index ; Cardiovascular disease ; Cardiovascular Diseases - ethnology ; Cardiovascular Diseases - etiology ; Epidemiology ; European Continental Ancestry Group ; fasting ; Feeding. Feeding behavior ; Female ; Females ; Fundamental and applied biological sciences. Psychology ; glucose ; glucose tolerance ; Health risks ; high density lipoprotein cholesterol ; Humans ; Male ; Males ; men ; Middle Aged ; Minority & ethnic groups ; Nutrition research ; Obesity ; Obesity - complications ; Obesity - ethnology ; Reference Values ; risk ; Risk Factors ; ROC Curve ; Sex Factors ; Sri Lanka ; Vertebrates: anatomy and physiology, studies on body, several organs or systems ; waist circumference ; Waist Circumference - ethnology ; Waist-Hip Ratio ; waist-to-hip ratio ; Whites ; women</subject><ispartof>British journal of nutrition, 2011-04, Vol.105 (7), p.1084-1090</ispartof><rights>2015 INIST-CNRS</rights><rights>Copyright © The Authors 2010</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c457t-36a49215d3381895ea5a8d96e44b4e820057bf12d2cf38b56665c834b964e8253</citedby><cites>FETCH-LOGICAL-c457t-36a49215d3381895ea5a8d96e44b4e820057bf12d2cf38b56665c834b964e8253</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,778,782,27911,27912</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=23978017$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/21205381$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Katulanda, P</creatorcontrib><creatorcontrib>Jayawardena, M.A.R</creatorcontrib><creatorcontrib>Sheriff, M.H.R</creatorcontrib><creatorcontrib>Matthews, D.R</creatorcontrib><title>Derivation of anthropometric cut-off levels to define CVD risk in Sri Lankan adults</title><title>British journal of nutrition</title><addtitle>Br J Nutr</addtitle><description>Obesity is associated with increased cardiovascular risk. Anthropometric cut-off values derived for Caucasians may not be applicable to other populations. The main objective of the present study was to derive population-specific anthropometric cut-off values to define high CVD risk for Sri Lankan adults. A nationally representative sample of 4474 non-institutionalised adults aged ≥ 18 years was analysed. Cut-off values to provide optimum sensitivity and specificity were derived using receiver-operating characteristic curve analysis. BMI, waist circumference (WC), waist-to-hip ratio (WHR), blood pressure and overnight fasting venous blood samples were collected to measure glucose, HDL-cholesterol and TAG. An oral glucose tolerance test was also performed. The results suggested that the age-adjusted BMI, WC and WHR were significantly associated with all cardiovascular risk factors (P < 0·001). Cut-off values for BMI, WC and WHR for males were 20·7 kg/m2, 76·5 cm and 0·89, respectively. The respective values for females were 22·0 kg/m2, 76·3 cm and 0·85. The common cut-off value for BMI for males and females was 21·5 kg/m2. Similarly, WC and WHR cut-off values for both males and females were 76·3 cm and 0·87, respectively. The Asian and Caucasian anthropometric cut-off levels showed lower sensitivity and higher false negative percentage compared with newly derived cut-off levels. In conclusion, BMI, WC and WHR were all associated with increased CVD risk. We propose the following anthropometric cut-off points to determine high CVD risk level for Sri Lankan adults: BMI ≥ 21·5 kg/m2, WC ≥ 76 cm and WHR ≥ 0·85 (women) and 0·90 (men).</description><subject>Adult</subject><subject>adults</subject><subject>Anthropometry</subject><subject>Asian Continental Ancestry Group</subject><subject>Biological and medical sciences</subject><subject>blood</subject><subject>Blood pressure</subject><subject>Body Mass Index</subject><subject>Cardiovascular disease</subject><subject>Cardiovascular Diseases - ethnology</subject><subject>Cardiovascular Diseases - etiology</subject><subject>Epidemiology</subject><subject>European Continental Ancestry Group</subject><subject>fasting</subject><subject>Feeding. Feeding behavior</subject><subject>Female</subject><subject>Females</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>glucose</subject><subject>glucose tolerance</subject><subject>Health risks</subject><subject>high density lipoprotein cholesterol</subject><subject>Humans</subject><subject>Male</subject><subject>Males</subject><subject>men</subject><subject>Middle Aged</subject><subject>Minority & ethnic groups</subject><subject>Nutrition research</subject><subject>Obesity</subject><subject>Obesity - complications</subject><subject>Obesity - ethnology</subject><subject>Reference Values</subject><subject>risk</subject><subject>Risk Factors</subject><subject>ROC Curve</subject><subject>Sex Factors</subject><subject>Sri Lanka</subject><subject>Vertebrates: anatomy and physiology, studies on body, several organs or systems</subject><subject>waist circumference</subject><subject>Waist Circumference - ethnology</subject><subject>Waist-Hip Ratio</subject><subject>waist-to-hip ratio</subject><subject>Whites</subject><subject>women</subject><issn>0007-1145</issn><issn>1475-2662</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><recordid>eNp9kU9rFDEYh4NY7Fr9AF40CKKX0bz5N8lRtq0WFnpY63XIZBJNO5usyUzBb2-GXRUUeghJ-D3vQ8IPoRdA3gOB9sOWENICcAH1wIVkj9AKeCsaKiV9jFZL3Cz5KXpaym29KiD6CTqlQIlgClZoe-5yuDdTSBEnj02cvue0Tzs35WCxnacmeY9Hd-_GgqeEB-dDdHj99RznUO5wiHibA96YeGciNsM8TuUZOvFmLO75cT9DN5cXX9afm831p6v1x01juWinhknDNQUxsPoSpYUzwqhBS8d5z52ihIi290AHaj1TvZBSCqsY77VcYsHO0NuDd5_Tj9mVqduFYt04mujSXDolZKsUk7qS7x4kgTAllG4Frejrf9DbNOdY_7H4hAbQqkJwgGxOpWTnu30OO5N_VlO3VNP9V02deXkUz_3ODX8mfndRgTdHwBRrRp9NtKH85ZhuVVVX7tWB8yZ15lutobvZUgKc1EW1YOwXa26bkA</recordid><startdate>20110414</startdate><enddate>20110414</enddate><creator>Katulanda, P</creator><creator>Jayawardena, M.A.R</creator><creator>Sheriff, M.H.R</creator><creator>Matthews, D.R</creator><general>CABI Pub</general><general>Cambridge University Press</general><scope>FBQ</scope><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>3V.</scope><scope>7QP</scope><scope>7RV</scope><scope>7T5</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8C1</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AN0</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>ASE</scope><scope>FPQ</scope><scope>K6X</scope><scope>7X8</scope></search><sort><creationdate>20110414</creationdate><title>Derivation of anthropometric cut-off levels to define CVD risk in Sri Lankan adults</title><author>Katulanda, P ; Jayawardena, M.A.R ; Sheriff, M.H.R ; Matthews, D.R</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c457t-36a49215d3381895ea5a8d96e44b4e820057bf12d2cf38b56665c834b964e8253</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Adult</topic><topic>adults</topic><topic>Anthropometry</topic><topic>Asian Continental Ancestry Group</topic><topic>Biological and medical sciences</topic><topic>blood</topic><topic>Blood pressure</topic><topic>Body Mass Index</topic><topic>Cardiovascular disease</topic><topic>Cardiovascular Diseases - ethnology</topic><topic>Cardiovascular Diseases - etiology</topic><topic>Epidemiology</topic><topic>European Continental Ancestry Group</topic><topic>fasting</topic><topic>Feeding. 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Psychology</topic><topic>glucose</topic><topic>glucose tolerance</topic><topic>Health risks</topic><topic>high density lipoprotein cholesterol</topic><topic>Humans</topic><topic>Male</topic><topic>Males</topic><topic>men</topic><topic>Middle Aged</topic><topic>Minority & ethnic groups</topic><topic>Nutrition research</topic><topic>Obesity</topic><topic>Obesity - complications</topic><topic>Obesity - ethnology</topic><topic>Reference Values</topic><topic>risk</topic><topic>Risk Factors</topic><topic>ROC Curve</topic><topic>Sex Factors</topic><topic>Sri Lanka</topic><topic>Vertebrates: anatomy and physiology, studies on body, several organs or systems</topic><topic>waist circumference</topic><topic>Waist Circumference - ethnology</topic><topic>Waist-Hip Ratio</topic><topic>waist-to-hip ratio</topic><topic>Whites</topic><topic>women</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Katulanda, P</creatorcontrib><creatorcontrib>Jayawardena, M.A.R</creatorcontrib><creatorcontrib>Sheriff, M.H.R</creatorcontrib><creatorcontrib>Matthews, D.R</creatorcontrib><collection>AGRIS</collection><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>ProQuest Central (Corporate)</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Immunology Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Public Health Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>British Nursing Database</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Agriculture Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>Research Library</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>British Nursing Index</collection><collection>British Nursing Index (BNI) (1985 to Present)</collection><collection>British Nursing Index</collection><collection>MEDLINE - Academic</collection><jtitle>British journal of nutrition</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Katulanda, P</au><au>Jayawardena, M.A.R</au><au>Sheriff, M.H.R</au><au>Matthews, D.R</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Derivation of anthropometric cut-off levels to define CVD risk in Sri Lankan adults</atitle><jtitle>British journal of nutrition</jtitle><addtitle>Br J Nutr</addtitle><date>2011-04-14</date><risdate>2011</risdate><volume>105</volume><issue>7</issue><spage>1084</spage><epage>1090</epage><pages>1084-1090</pages><issn>0007-1145</issn><eissn>1475-2662</eissn><coden>BJNUAV</coden><abstract>Obesity is associated with increased cardiovascular risk. Anthropometric cut-off values derived for Caucasians may not be applicable to other populations. The main objective of the present study was to derive population-specific anthropometric cut-off values to define high CVD risk for Sri Lankan adults. A nationally representative sample of 4474 non-institutionalised adults aged ≥ 18 years was analysed. Cut-off values to provide optimum sensitivity and specificity were derived using receiver-operating characteristic curve analysis. BMI, waist circumference (WC), waist-to-hip ratio (WHR), blood pressure and overnight fasting venous blood samples were collected to measure glucose, HDL-cholesterol and TAG. An oral glucose tolerance test was also performed. The results suggested that the age-adjusted BMI, WC and WHR were significantly associated with all cardiovascular risk factors (P < 0·001). Cut-off values for BMI, WC and WHR for males were 20·7 kg/m2, 76·5 cm and 0·89, respectively. The respective values for females were 22·0 kg/m2, 76·3 cm and 0·85. The common cut-off value for BMI for males and females was 21·5 kg/m2. Similarly, WC and WHR cut-off values for both males and females were 76·3 cm and 0·87, respectively. The Asian and Caucasian anthropometric cut-off levels showed lower sensitivity and higher false negative percentage compared with newly derived cut-off levels. In conclusion, BMI, WC and WHR were all associated with increased CVD risk. We propose the following anthropometric cut-off points to determine high CVD risk level for Sri Lankan adults: BMI ≥ 21·5 kg/m2, WC ≥ 76 cm and WHR ≥ 0·85 (women) and 0·90 (men).</abstract><cop>Cambridge</cop><pub>CABI Pub</pub><pmid>21205381</pmid><doi>10.1017/S0007114510004563</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adult adults Anthropometry Asian Continental Ancestry Group Biological and medical sciences blood Blood pressure Body Mass Index Cardiovascular disease Cardiovascular Diseases - ethnology Cardiovascular Diseases - etiology Epidemiology European Continental Ancestry Group fasting Feeding. Feeding behavior Female Females Fundamental and applied biological sciences. Psychology glucose glucose tolerance Health risks high density lipoprotein cholesterol Humans Male Males men Middle Aged Minority & ethnic groups Nutrition research Obesity Obesity - complications Obesity - ethnology Reference Values risk Risk Factors ROC Curve Sex Factors Sri Lanka Vertebrates: anatomy and physiology, studies on body, several organs or systems waist circumference Waist Circumference - ethnology Waist-Hip Ratio waist-to-hip ratio Whites women |
title | Derivation of anthropometric cut-off levels to define CVD risk in Sri Lankan adults |
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