Usefulness of measuring both body mass index and waist circumference for the estimation of visceral adiposity and related cardiometabolic risk profile (from the INSPIRE ME IAA study).
Identifieur interne : 003066 ( PubMed/Corpus ); précédent : 003065; suivant : 003067Usefulness of measuring both body mass index and waist circumference for the estimation of visceral adiposity and related cardiometabolic risk profile (from the INSPIRE ME IAA study).
Auteurs : Julie-Anne Nazare ; Jessica Smith ; Anne-Laure Borel ; Pablo Aschner ; Phil Barter ; Luc Van Gaal ; Chee Eng Tan ; Hans-Ulrich Wittchen ; Yuji Matsuzawa ; Takashi Kadowaki ; Robert Ross ; Claire Brulle-Wohlhueter ; Natalie Alméras ; Steven M. Haffner ; Beverley Balkau ; Jean-Pierre DesprésSource :
- The American journal of cardiology [ 1879-1913 ] ; 2015.
English descriptors
- KwdEn :
- Aged, Body Mass Index, Female, Humans, Intra-Abdominal Fat (diagnostic imaging), Liver (diagnostic imaging), Male, Metabolic Syndrome X (diagnosis), Middle Aged, Obesity (diagnosis), Obesity (diagnostic imaging), Obesity, Abdominal (diagnosis), Obesity, Abdominal (diagnostic imaging), Overweight (diagnosis), Overweight (diagnostic imaging), Risk Assessment (methods), Tomography, X-Ray Computed, Waist Circumference.
- MESH :
- diagnosis : Metabolic Syndrome X, Obesity, Obesity, Abdominal, Overweight.
- diagnostic imaging : Intra-Abdominal Fat, Liver, Obesity, Obesity, Abdominal, Overweight.
- methods : Risk Assessment.
- Aged, Body Mass Index, Female, Humans, Male, Middle Aged, Tomography, X-Ray Computed, Waist Circumference.
Abstract
Despite its well-documented relation with visceral adiposity (VAT) and cardiometabolic risk (CMR), whether waist circumference (WC) should be measured in addition to body mass index (BMI) remains debated. This study tested the relevance of adding WC to BMI for the estimation of VAT and CMR. In the International Study of Prediction of Intra-abdominal Adiposity and Its Relationship with Cardiometabolic Risk/Intra-abdominal Adiposity, 297 physicians recruited 4,504 patients (29 countries). Both BMI and WC were measured, whereas VAT and liver fat were assessed by computed tomography. A composite CMR score was calculated. From the 4,109 patients included in the present analyses (20 ≤ BMI < 40 kg/m(2), 47% women), about 30% displayed discordant values for WC and BMI quintiles, despite a strong correlation between the 2 anthropometric variables (r = 0.87 and r = 0.84 for men and women, respectively, p <0.001). Within each single BMI unit, VAT and WC showed substantial variability between subjects (mean difference between 90th and 10th percentiles: 175 cm(2)/16 cm and 137 cm(2)/18 cm for VAT/WC in men and women, respectively). Within each BMI category, increasing gender-specific WC tertiles were associated with significantly higher VAT, liver fat, and with a more adverse CMR profile. In conclusion, this large international cardiometabolic study highlights the frequent discordance between BMI and WC, driven by the substantial variability in VAT for a given BMI. Within each BMI category, WC was cross-sectionally associated with VAT, liver fat, and CMR factors. Thus, WC allows a further refinement of the CMR related to any given BMI.
DOI: 10.1016/j.amjcard.2014.10.039
PubMed: 25499404
Links to Exploration step
pubmed:25499404Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Usefulness of measuring both body mass index and waist circumference for the estimation of visceral adiposity and related cardiometabolic risk profile (from the INSPIRE ME IAA study).</title><author><name sortKey="Nazare, Julie Anne" sort="Nazare, Julie Anne" uniqKey="Nazare J" first="Julie-Anne" last="Nazare">Julie-Anne Nazare</name><affiliation><nlm:affiliation>Centre de recherche de l'Institut universitaire de cardiologie et de pneumologie de Québec, Québec, Québec, Canada; CENS, CARMEN Laboratory INSERM U1060-INRA 1235, Pierre-Bénite, France.</nlm:affiliation></affiliation></author><author><name sortKey="Smith, Jessica" sort="Smith, Jessica" uniqKey="Smith J" first="Jessica" last="Smith">Jessica Smith</name><affiliation><nlm:affiliation>Centre de recherche de l'Institut universitaire de cardiologie et de pneumologie de Québec, Québec, Québec, Canada; Harvard School of Public Health, Department of Nutrition, Boston, Massachusetts.</nlm:affiliation></affiliation></author><author><name sortKey="Borel, Anne Laure" sort="Borel, Anne Laure" uniqKey="Borel A" first="Anne-Laure" last="Borel">Anne-Laure Borel</name><affiliation><nlm:affiliation>HP2 laboratory INSERM U1042, Hôpital Universitaire de Grenoble, Pôle DIGI-DUNE, Département d'endocrinologie, Diabétologie, Maladie de la Nutrition, Grenoble, France.</nlm:affiliation></affiliation></author><author><name sortKey="Aschner, Pablo" sort="Aschner, Pablo" uniqKey="Aschner P" first="Pablo" last="Aschner">Pablo Aschner</name><affiliation><nlm:affiliation>Javeriana University School of Medicine, Ignacio University Hospital, Bogotá, Colombia.</nlm:affiliation></affiliation></author><author><name sortKey="Barter, Phil" sort="Barter, Phil" uniqKey="Barter P" first="Phil" last="Barter">Phil Barter</name><affiliation><nlm:affiliation>Centre for Vascular Research, Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia.</nlm:affiliation></affiliation></author><author><name sortKey="Van Gaal, Luc" sort="Van Gaal, Luc" uniqKey="Van Gaal L" first="Luc" last="Van Gaal">Luc Van Gaal</name><affiliation><nlm:affiliation>Department of Endocrinology, Diabetology, Metabolism and Clinical Nutrition, Antwerp University Hospital, Edegem, Belgium.</nlm:affiliation></affiliation></author><author><name sortKey="Tan, Chee Eng" sort="Tan, Chee Eng" uniqKey="Tan C" first="Chee Eng" last="Tan">Chee Eng Tan</name><affiliation><nlm:affiliation>Gleneagles Medical Centre, Singapore.</nlm:affiliation></affiliation></author><author><name sortKey="Wittchen, Hans Ulrich" sort="Wittchen, Hans Ulrich" uniqKey="Wittchen H" first="Hans-Ulrich" last="Wittchen">Hans-Ulrich Wittchen</name><affiliation><nlm:affiliation>Institute of Clinical Psychology and Psychotherapy and Center of Clinical Epidemiology and Longitudinal Studies (CELOS), Technische Universitaet Dresden, Dresden, Germany.</nlm:affiliation></affiliation></author><author><name sortKey="Matsuzawa, Yuji" sort="Matsuzawa, Yuji" uniqKey="Matsuzawa Y" first="Yuji" last="Matsuzawa">Yuji Matsuzawa</name><affiliation><nlm:affiliation>Department of Endocrinology and Metabolism, Sumitomo Hospital, Osaka, Japan.</nlm:affiliation></affiliation></author><author><name sortKey="Kadowaki, Takashi" sort="Kadowaki, Takashi" uniqKey="Kadowaki T" first="Takashi" last="Kadowaki">Takashi Kadowaki</name><affiliation><nlm:affiliation>Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.</nlm:affiliation></affiliation></author><author><name sortKey="Ross, Robert" sort="Ross, Robert" uniqKey="Ross R" first="Robert" last="Ross">Robert Ross</name><affiliation><nlm:affiliation>School of Kinesiology and Health Studies, Queen's University, Kingston, Ontario, Canada.</nlm:affiliation></affiliation></author><author><name sortKey="Brulle Wohlhueter, Claire" sort="Brulle Wohlhueter, Claire" uniqKey="Brulle Wohlhueter C" first="Claire" last="Brulle-Wohlhueter">Claire Brulle-Wohlhueter</name><affiliation><nlm:affiliation>Sanofi, Paris, France.</nlm:affiliation></affiliation></author><author><name sortKey="Almeras, Natalie" sort="Almeras, Natalie" uniqKey="Almeras N" first="Natalie" last="Alméras">Natalie Alméras</name><affiliation><nlm:affiliation>Centre de recherche de l'Institut universitaire de cardiologie et de pneumologie de Québec, Québec, Québec, Canada.</nlm:affiliation></affiliation></author><author><name sortKey="Haffner, Steven M" sort="Haffner, Steven M" uniqKey="Haffner S" first="Steven M" last="Haffner">Steven M. Haffner</name><affiliation><nlm:affiliation>Department of Medicine, Baylor College of Medicine, Houston, Texas.</nlm:affiliation></affiliation></author><author><name sortKey="Balkau, Beverley" sort="Balkau, Beverley" uniqKey="Balkau B" first="Beverley" last="Balkau">Beverley Balkau</name><affiliation><nlm:affiliation>INSERM, CESP Centre for Research in Epidemiology and Population Health, UMRS 1018, Epidemiology of Diabetes, Obesity and Chronic Kidney Disease over the Lifecourse and Determinants of Early Nutrition, Villejuif, University Paris Sud 11, Paris, France.</nlm:affiliation></affiliation></author><author><name sortKey="Despres, Jean Pierre" sort="Despres, Jean Pierre" uniqKey="Despres J" first="Jean-Pierre" last="Després">Jean-Pierre Després</name><affiliation><nlm:affiliation>Centre de recherche de l'Institut universitaire de cardiologie et de pneumologie de Québec, Québec, Québec, Canada. Electronic address: jean-pierre.despres@criucpq.ulaval.ca.</nlm:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2015">2015</date><idno type="RBID">pubmed:25499404</idno><idno type="pmid">25499404</idno><idno type="doi">10.1016/j.amjcard.2014.10.039</idno><idno type="wicri:Area/PubMed/Corpus">003066</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">003066</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Usefulness of measuring both body mass index and waist circumference for the estimation of visceral adiposity and related cardiometabolic risk profile (from the INSPIRE ME IAA study).</title><author><name sortKey="Nazare, Julie Anne" sort="Nazare, Julie Anne" uniqKey="Nazare J" first="Julie-Anne" last="Nazare">Julie-Anne Nazare</name><affiliation><nlm:affiliation>Centre de recherche de l'Institut universitaire de cardiologie et de pneumologie de Québec, Québec, Québec, Canada; CENS, CARMEN Laboratory INSERM U1060-INRA 1235, Pierre-Bénite, France.</nlm:affiliation></affiliation></author><author><name sortKey="Smith, Jessica" sort="Smith, Jessica" uniqKey="Smith J" first="Jessica" last="Smith">Jessica Smith</name><affiliation><nlm:affiliation>Centre de recherche de l'Institut universitaire de cardiologie et de pneumologie de Québec, Québec, Québec, Canada; Harvard School of Public Health, Department of Nutrition, Boston, Massachusetts.</nlm:affiliation></affiliation></author><author><name sortKey="Borel, Anne Laure" sort="Borel, Anne Laure" uniqKey="Borel A" first="Anne-Laure" last="Borel">Anne-Laure Borel</name><affiliation><nlm:affiliation>HP2 laboratory INSERM U1042, Hôpital Universitaire de Grenoble, Pôle DIGI-DUNE, Département d'endocrinologie, Diabétologie, Maladie de la Nutrition, Grenoble, France.</nlm:affiliation></affiliation></author><author><name sortKey="Aschner, Pablo" sort="Aschner, Pablo" uniqKey="Aschner P" first="Pablo" last="Aschner">Pablo Aschner</name><affiliation><nlm:affiliation>Javeriana University School of Medicine, Ignacio University Hospital, Bogotá, Colombia.</nlm:affiliation></affiliation></author><author><name sortKey="Barter, Phil" sort="Barter, Phil" uniqKey="Barter P" first="Phil" last="Barter">Phil Barter</name><affiliation><nlm:affiliation>Centre for Vascular Research, Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia.</nlm:affiliation></affiliation></author><author><name sortKey="Van Gaal, Luc" sort="Van Gaal, Luc" uniqKey="Van Gaal L" first="Luc" last="Van Gaal">Luc Van Gaal</name><affiliation><nlm:affiliation>Department of Endocrinology, Diabetology, Metabolism and Clinical Nutrition, Antwerp University Hospital, Edegem, Belgium.</nlm:affiliation></affiliation></author><author><name sortKey="Tan, Chee Eng" sort="Tan, Chee Eng" uniqKey="Tan C" first="Chee Eng" last="Tan">Chee Eng Tan</name><affiliation><nlm:affiliation>Gleneagles Medical Centre, Singapore.</nlm:affiliation></affiliation></author><author><name sortKey="Wittchen, Hans Ulrich" sort="Wittchen, Hans Ulrich" uniqKey="Wittchen H" first="Hans-Ulrich" last="Wittchen">Hans-Ulrich Wittchen</name><affiliation><nlm:affiliation>Institute of Clinical Psychology and Psychotherapy and Center of Clinical Epidemiology and Longitudinal Studies (CELOS), Technische Universitaet Dresden, Dresden, Germany.</nlm:affiliation></affiliation></author><author><name sortKey="Matsuzawa, Yuji" sort="Matsuzawa, Yuji" uniqKey="Matsuzawa Y" first="Yuji" last="Matsuzawa">Yuji Matsuzawa</name><affiliation><nlm:affiliation>Department of Endocrinology and Metabolism, Sumitomo Hospital, Osaka, Japan.</nlm:affiliation></affiliation></author><author><name sortKey="Kadowaki, Takashi" sort="Kadowaki, Takashi" uniqKey="Kadowaki T" first="Takashi" last="Kadowaki">Takashi Kadowaki</name><affiliation><nlm:affiliation>Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.</nlm:affiliation></affiliation></author><author><name sortKey="Ross, Robert" sort="Ross, Robert" uniqKey="Ross R" first="Robert" last="Ross">Robert Ross</name><affiliation><nlm:affiliation>School of Kinesiology and Health Studies, Queen's University, Kingston, Ontario, Canada.</nlm:affiliation></affiliation></author><author><name sortKey="Brulle Wohlhueter, Claire" sort="Brulle Wohlhueter, Claire" uniqKey="Brulle Wohlhueter C" first="Claire" last="Brulle-Wohlhueter">Claire Brulle-Wohlhueter</name><affiliation><nlm:affiliation>Sanofi, Paris, France.</nlm:affiliation></affiliation></author><author><name sortKey="Almeras, Natalie" sort="Almeras, Natalie" uniqKey="Almeras N" first="Natalie" last="Alméras">Natalie Alméras</name><affiliation><nlm:affiliation>Centre de recherche de l'Institut universitaire de cardiologie et de pneumologie de Québec, Québec, Québec, Canada.</nlm:affiliation></affiliation></author><author><name sortKey="Haffner, Steven M" sort="Haffner, Steven M" uniqKey="Haffner S" first="Steven M" last="Haffner">Steven M. Haffner</name><affiliation><nlm:affiliation>Department of Medicine, Baylor College of Medicine, Houston, Texas.</nlm:affiliation></affiliation></author><author><name sortKey="Balkau, Beverley" sort="Balkau, Beverley" uniqKey="Balkau B" first="Beverley" last="Balkau">Beverley Balkau</name><affiliation><nlm:affiliation>INSERM, CESP Centre for Research in Epidemiology and Population Health, UMRS 1018, Epidemiology of Diabetes, Obesity and Chronic Kidney Disease over the Lifecourse and Determinants of Early Nutrition, Villejuif, University Paris Sud 11, Paris, France.</nlm:affiliation></affiliation></author><author><name sortKey="Despres, Jean Pierre" sort="Despres, Jean Pierre" uniqKey="Despres J" first="Jean-Pierre" last="Després">Jean-Pierre Després</name><affiliation><nlm:affiliation>Centre de recherche de l'Institut universitaire de cardiologie et de pneumologie de Québec, Québec, Québec, Canada. Electronic address: jean-pierre.despres@criucpq.ulaval.ca.</nlm:affiliation></affiliation></author></analytic><series><title level="j">The American journal of cardiology</title><idno type="eISSN">1879-1913</idno><imprint><date when="2015" type="published">2015</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Aged</term><term>Body Mass Index</term><term>Female</term><term>Humans</term><term>Intra-Abdominal Fat (diagnostic imaging)</term><term>Liver (diagnostic imaging)</term><term>Male</term><term>Metabolic Syndrome X (diagnosis)</term><term>Middle Aged</term><term>Obesity (diagnosis)</term><term>Obesity (diagnostic imaging)</term><term>Obesity, Abdominal (diagnosis)</term><term>Obesity, Abdominal (diagnostic imaging)</term><term>Overweight (diagnosis)</term><term>Overweight (diagnostic imaging)</term><term>Risk Assessment (methods)</term><term>Tomography, X-Ray Computed</term><term>Waist Circumference</term></keywords><keywords scheme="MESH" qualifier="diagnosis" xml:lang="en"><term>Metabolic Syndrome X</term><term>Obesity</term><term>Obesity, Abdominal</term><term>Overweight</term></keywords><keywords scheme="MESH" qualifier="diagnostic imaging" xml:lang="en"><term>Intra-Abdominal Fat</term><term>Liver</term><term>Obesity</term><term>Obesity, Abdominal</term><term>Overweight</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Risk Assessment</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Aged</term><term>Body Mass Index</term><term>Female</term><term>Humans</term><term>Male</term><term>Middle Aged</term><term>Tomography, X-Ray Computed</term><term>Waist Circumference</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Despite its well-documented relation with visceral adiposity (VAT) and cardiometabolic risk (CMR), whether waist circumference (WC) should be measured in addition to body mass index (BMI) remains debated. This study tested the relevance of adding WC to BMI for the estimation of VAT and CMR. In the International Study of Prediction of Intra-abdominal Adiposity and Its Relationship with Cardiometabolic Risk/Intra-abdominal Adiposity, 297 physicians recruited 4,504 patients (29 countries). Both BMI and WC were measured, whereas VAT and liver fat were assessed by computed tomography. A composite CMR score was calculated. From the 4,109 patients included in the present analyses (20 ≤ BMI < 40 kg/m(2), 47% women), about 30% displayed discordant values for WC and BMI quintiles, despite a strong correlation between the 2 anthropometric variables (r = 0.87 and r = 0.84 for men and women, respectively, p <0.001). Within each single BMI unit, VAT and WC showed substantial variability between subjects (mean difference between 90th and 10th percentiles: 175 cm(2)/16 cm and 137 cm(2)/18 cm for VAT/WC in men and women, respectively). Within each BMI category, increasing gender-specific WC tertiles were associated with significantly higher VAT, liver fat, and with a more adverse CMR profile. In conclusion, this large international cardiometabolic study highlights the frequent discordance between BMI and WC, driven by the substantial variability in VAT for a given BMI. Within each BMI category, WC was cross-sectionally associated with VAT, liver fat, and CMR factors. Thus, WC allows a further refinement of the CMR related to any given BMI.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">25499404</PMID><DateCreated><Year>2015</Year><Month>01</Month><Day>12</Day></DateCreated><DateCompleted><Year>2015</Year><Month>03</Month><Day>12</Day></DateCompleted><DateRevised><Year>2017</Year><Month>11</Month><Day>16</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1879-1913</ISSN><JournalIssue CitedMedium="Internet"><Volume>115</Volume><Issue>3</Issue><PubDate><Year>2015</Year><Month>Feb</Month><Day>01</Day></PubDate></JournalIssue><Title>The American journal of cardiology</Title><ISOAbbreviation>Am. J. Cardiol.</ISOAbbreviation></Journal><ArticleTitle>Usefulness of measuring both body mass index and waist circumference for the estimation of visceral adiposity and related cardiometabolic risk profile (from the INSPIRE ME IAA study).</ArticleTitle><Pagination><MedlinePgn>307-15</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1016/j.amjcard.2014.10.039</ELocationID><ELocationID EIdType="pii" ValidYN="Y">S0002-9149(14)02074-8</ELocationID><Abstract><AbstractText>Despite its well-documented relation with visceral adiposity (VAT) and cardiometabolic risk (CMR), whether waist circumference (WC) should be measured in addition to body mass index (BMI) remains debated. This study tested the relevance of adding WC to BMI for the estimation of VAT and CMR. In the International Study of Prediction of Intra-abdominal Adiposity and Its Relationship with Cardiometabolic Risk/Intra-abdominal Adiposity, 297 physicians recruited 4,504 patients (29 countries). Both BMI and WC were measured, whereas VAT and liver fat were assessed by computed tomography. A composite CMR score was calculated. From the 4,109 patients included in the present analyses (20 ≤ BMI < 40 kg/m(2), 47% women), about 30% displayed discordant values for WC and BMI quintiles, despite a strong correlation between the 2 anthropometric variables (r = 0.87 and r = 0.84 for men and women, respectively, p <0.001). Within each single BMI unit, VAT and WC showed substantial variability between subjects (mean difference between 90th and 10th percentiles: 175 cm(2)/16 cm and 137 cm(2)/18 cm for VAT/WC in men and women, respectively). Within each BMI category, increasing gender-specific WC tertiles were associated with significantly higher VAT, liver fat, and with a more adverse CMR profile. In conclusion, this large international cardiometabolic study highlights the frequent discordance between BMI and WC, driven by the substantial variability in VAT for a given BMI. Within each BMI category, WC was cross-sectionally associated with VAT, liver fat, and CMR factors. Thus, WC allows a further refinement of the CMR related to any given BMI.</AbstractText><CopyrightInformation>Copyright © 2015 Elsevier Inc. All rights reserved.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Nazare</LastName><ForeName>Julie-Anne</ForeName><Initials>JA</Initials><AffiliationInfo><Affiliation>Centre de recherche de l'Institut universitaire de cardiologie et de pneumologie de Québec, Québec, Québec, Canada; CENS, CARMEN Laboratory INSERM U1060-INRA 1235, Pierre-Bénite, France.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Smith</LastName><ForeName>Jessica</ForeName><Initials>J</Initials><AffiliationInfo><Affiliation>Centre de recherche de l'Institut universitaire de cardiologie et de pneumologie de Québec, Québec, Québec, Canada; Harvard School of Public Health, Department of Nutrition, Boston, Massachusetts.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Borel</LastName><ForeName>Anne-Laure</ForeName><Initials>AL</Initials><AffiliationInfo><Affiliation>HP2 laboratory INSERM U1042, Hôpital Universitaire de Grenoble, Pôle DIGI-DUNE, Département d'endocrinologie, Diabétologie, Maladie de la Nutrition, Grenoble, France.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Aschner</LastName><ForeName>Pablo</ForeName><Initials>P</Initials><AffiliationInfo><Affiliation>Javeriana University School of Medicine, Ignacio University Hospital, Bogotá, Colombia.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Barter</LastName><ForeName>Phil</ForeName><Initials>P</Initials><AffiliationInfo><Affiliation>Centre for Vascular Research, Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Van Gaal</LastName><ForeName>Luc</ForeName><Initials>L</Initials><AffiliationInfo><Affiliation>Department of Endocrinology, Diabetology, Metabolism and Clinical Nutrition, Antwerp University Hospital, Edegem, Belgium.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Tan</LastName><ForeName>Chee Eng</ForeName><Initials>CE</Initials><AffiliationInfo><Affiliation>Gleneagles Medical Centre, Singapore.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Wittchen</LastName><ForeName>Hans-Ulrich</ForeName><Initials>HU</Initials><AffiliationInfo><Affiliation>Institute of Clinical Psychology and Psychotherapy and Center of Clinical Epidemiology and Longitudinal Studies (CELOS), Technische Universitaet Dresden, Dresden, Germany.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Matsuzawa</LastName><ForeName>Yuji</ForeName><Initials>Y</Initials><AffiliationInfo><Affiliation>Department of Endocrinology and Metabolism, Sumitomo Hospital, Osaka, Japan.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Kadowaki</LastName><ForeName>Takashi</ForeName><Initials>T</Initials><AffiliationInfo><Affiliation>Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Ross</LastName><ForeName>Robert</ForeName><Initials>R</Initials><AffiliationInfo><Affiliation>School of Kinesiology and Health Studies, Queen's University, Kingston, Ontario, Canada.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Brulle-Wohlhueter</LastName><ForeName>Claire</ForeName><Initials>C</Initials><AffiliationInfo><Affiliation>Sanofi, Paris, France.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Alméras</LastName><ForeName>Natalie</ForeName><Initials>N</Initials><AffiliationInfo><Affiliation>Centre de recherche de l'Institut universitaire de cardiologie et de pneumologie de Québec, Québec, Québec, Canada.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Haffner</LastName><ForeName>Steven M</ForeName><Initials>SM</Initials><AffiliationInfo><Affiliation>Department of Medicine, Baylor College of Medicine, Houston, Texas.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Balkau</LastName><ForeName>Beverley</ForeName><Initials>B</Initials><AffiliationInfo><Affiliation>INSERM, CESP Centre for Research in Epidemiology and Population Health, UMRS 1018, Epidemiology of Diabetes, Obesity and Chronic Kidney Disease over the Lifecourse and Determinants of Early Nutrition, Villejuif, University Paris Sud 11, Paris, France.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Després</LastName><ForeName>Jean-Pierre</ForeName><Initials>JP</Initials><AffiliationInfo><Affiliation>Centre de recherche de l'Institut universitaire de cardiologie et de pneumologie de Québec, Québec, Québec, Canada. Electronic address: jean-pierre.despres@criucpq.ulaval.ca.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><CollectiveName>INSPIRE ME IAA Investigators</CollectiveName></Author></AuthorList><Language>eng</Language><GrantList CompleteYN="Y"><Grant><GrantID>MFE-112982</GrantID><Agency>Canadian Institutes of Health Research</Agency><Country>Canada</Country></Grant></GrantList><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2014</Year><Month>11</Month><Day>13</Day></ArticleDate></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>Am J Cardiol</MedlineTA><NlmUniqueID>0207277</NlmUniqueID><ISSNLinking>0002-9149</ISSNLinking></MedlineJournalInfo><CitationSubset>AIM</CitationSubset><CitationSubset>IM</CitationSubset><CommentsCorrectionsList><CommentsCorrections RefType="CommentIn"><RefSource>Am J Cardiol. 2015 Jul 15;116(2):336-7</RefSource><PMID Version="1">25983124</PMID></CommentsCorrections><CommentsCorrections RefType="CommentIn"><RefSource>Am J Cardiol. 2015 Jul 15;116(2):336</RefSource><PMID Version="1">25983279</PMID></CommentsCorrections><CommentsCorrections RefType="ErratumIn"><RefSource>Am J Cardiol. 2015 May 1;115(9):1323</RefSource></CommentsCorrections></CommentsCorrectionsList><MeshHeadingList><MeshHeading><DescriptorName UI="D000368" MajorTopicYN="N">Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D015992" MajorTopicYN="Y">Body Mass Index</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D050152" MajorTopicYN="N">Intra-Abdominal Fat</DescriptorName><QualifierName UI="Q000000981" MajorTopicYN="Y">diagnostic imaging</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D008099" MajorTopicYN="N">Liver</DescriptorName><QualifierName UI="Q000000981" MajorTopicYN="Y">diagnostic imaging</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D024821" MajorTopicYN="N">Metabolic Syndrome X</DescriptorName><QualifierName UI="Q000175" MajorTopicYN="Y">diagnosis</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D009765" MajorTopicYN="N">Obesity</DescriptorName><QualifierName UI="Q000175" MajorTopicYN="N">diagnosis</QualifierName><QualifierName UI="Q000000981" MajorTopicYN="N">diagnostic imaging</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D056128" MajorTopicYN="N">Obesity, Abdominal</DescriptorName><QualifierName UI="Q000175" MajorTopicYN="Y">diagnosis</QualifierName><QualifierName UI="Q000000981" MajorTopicYN="N">diagnostic imaging</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D050177" MajorTopicYN="N">Overweight</DescriptorName><QualifierName UI="Q000175" MajorTopicYN="N">diagnosis</QualifierName><QualifierName UI="Q000000981" MajorTopicYN="N">diagnostic imaging</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D018570" MajorTopicYN="N">Risk Assessment</DescriptorName><QualifierName UI="Q000379" MajorTopicYN="Y">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D014057" MajorTopicYN="N">Tomography, X-Ray Computed</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D055105" MajorTopicYN="Y">Waist Circumference</DescriptorName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2014</Year><Month>07</Month><Day>01</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2014</Year><Month>10</Month><Day>28</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2014</Year><Month>10</Month><Day>28</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2014</Year><Month>12</Month><Day>16</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2014</Year><Month>12</Month><Day>17</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2015</Year><Month>3</Month><Day>13</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">25499404</ArticleId><ArticleId IdType="pii">S0002-9149(14)02074-8</ArticleId><ArticleId IdType="doi">10.1016/j.amjcard.2014.10.039</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Wicri/Asie/explor/AustralieFrV1/Data/PubMed/Corpus
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 003066 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/PubMed/Corpus/biblio.hfd -nk 003066 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Wicri/Asie
|area= AustralieFrV1
|flux= PubMed
|étape= Corpus
|type= RBID
|clé= pubmed:25499404
|texte= Usefulness of measuring both body mass index and waist circumference for the estimation of visceral adiposity and related cardiometabolic risk profile (from the INSPIRE ME IAA study).
}}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/PubMed/Corpus/RBID.i -Sk "pubmed:25499404" \
| HfdSelect -Kh $EXPLOR_AREA/Data/PubMed/Corpus/biblio.hfd \
| NlmPubMed2Wicri -a AustralieFrV1
| This area was generated with Dilib version V0.6.33. |  |