Body composition and fat repartition in relation to structure and function of large arteries in middle-aged adults (the SU.VI.MAX study)
OBJECTIVE: To investigate associations of body composition assessed by bioimpedance analysis and anthropometric indicators of fat repartition with carotid structure and function. DESIGN: Cross-sectional epidemiological study. SUBJECTS: A total of 1014 middle-aged apparently healthy adults participat...
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Veröffentlicht in: | International Journal of Obesity 2005-07, Vol.29 (7), p.826-832 |
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creator | Czernichow, S Bertrais, S Oppert, J-M Galan, P Blacher, J Ducimetière, P Hercberg, S Zureik, M |
description | OBJECTIVE:
To investigate associations of body composition assessed by bioimpedance analysis and anthropometric indicators of fat repartition with carotid structure and function.
DESIGN:
Cross-sectional epidemiological study.
SUBJECTS:
A total of 1014 middle-aged apparently healthy adults participating in the SU.VI.MAX study.
MEASUREMENTS:
Body composition (fat mass, fat-free mass) was assessed by bioimpedance analysis and anthropometric indicators of fat repartition (waist circumference (WC); waist-hip-ratio (WHR)) were simultaneously collected. Carotid ultrasound examination included measurements of intima-media thickness (IMT) at the common carotid arteries (CCA) and assessment of atherosclerotic plaques in extracranial carotid arteries. Carotid-femoral pulse-wave velocity (PWV) was used as a marker of aortic stiffness.
RESULTS:
In multivariate analyses adjusted for major known cardiovascular risk factors in addition to age, gender and height, fat-free mass, fat mass (FM), and WC were positively associated with CCA-IMT and lumen diameter. No significant association was found with occurrence of carotid plaques. PWV was only associated with WC. Associations of CCA-IMT and PWV with WC were not significant anymore after further adjustment on body mass index (BMI) or FM.
CONCLUSION:
WC was the only measurement positively associated with both early atherosclerosis markers such as CCA-IMT and arterial stiffness. Although this association depends on overall adiposity, as assessed by the BMI, it emphasizes the importance of WC in clinical practice and prevention programs as a screening tool for individuals at risk for cardiovascular disease. |
doi_str_mv | 10.1038/sj.ijo.0802986 |
format | Article |
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To investigate associations of body composition assessed by bioimpedance analysis and anthropometric indicators of fat repartition with carotid structure and function.
DESIGN:
Cross-sectional epidemiological study.
SUBJECTS:
A total of 1014 middle-aged apparently healthy adults participating in the SU.VI.MAX study.
MEASUREMENTS:
Body composition (fat mass, fat-free mass) was assessed by bioimpedance analysis and anthropometric indicators of fat repartition (waist circumference (WC); waist-hip-ratio (WHR)) were simultaneously collected. Carotid ultrasound examination included measurements of intima-media thickness (IMT) at the common carotid arteries (CCA) and assessment of atherosclerotic plaques in extracranial carotid arteries. Carotid-femoral pulse-wave velocity (PWV) was used as a marker of aortic stiffness.
RESULTS:
In multivariate analyses adjusted for major known cardiovascular risk factors in addition to age, gender and height, fat-free mass, fat mass (FM), and WC were positively associated with CCA-IMT and lumen diameter. No significant association was found with occurrence of carotid plaques. PWV was only associated with WC. Associations of CCA-IMT and PWV with WC were not significant anymore after further adjustment on body mass index (BMI) or FM.
CONCLUSION:
WC was the only measurement positively associated with both early atherosclerosis markers such as CCA-IMT and arterial stiffness. Although this association depends on overall adiposity, as assessed by the BMI, it emphasizes the importance of WC in clinical practice and prevention programs as a screening tool for individuals at risk for cardiovascular disease.</description><identifier>ISSN: 0307-0565</identifier><identifier>EISSN: 1476-5497</identifier><identifier>DOI: 10.1038/sj.ijo.0802986</identifier><identifier>PMID: 15917850</identifier><identifier>CODEN: IJOBDP</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>Abdomen ; Adipose Tissue - pathology ; Anthropometry ; Arteriosclerosis - diagnostic imaging ; Arteriosclerosis - pathology ; Arteriosclerosis - physiopathology ; Atherosclerosis ; Atherosclerosis (general aspects, experimental research) ; Biological and medical sciences ; Blood and lymphatic vessels ; Body Composition ; Body fat ; Body mass index ; Cardiology. Vascular system ; Cardiovascular disease ; Cardiovascular diseases ; Carotid arteries ; Carotid Artery, Common - diagnostic imaging ; Carotid Artery, Common - pathology ; Electric Impedance ; Epidemiology ; Female ; Health Promotion and Disease Prevention ; Health risks ; Humans ; Internal Medicine ; Logistic Models ; Male ; Medical sciences ; Medicine ; Medicine & Public Health ; Metabolic Diseases ; Middle age ; Middle Aged ; Multivariate Analysis ; Obesity ; Obesity - diagnostic imaging ; Obesity - pathology ; Obesity - physiopathology ; Prevention ; Public Health ; Risk Factors ; Ultrasonography ; Veins & arteries ; Wave velocity</subject><ispartof>International Journal of Obesity, 2005-07, Vol.29 (7), p.826-832</ispartof><rights>Springer Nature Limited 2005</rights><rights>2005 INIST-CNRS</rights><rights>COPYRIGHT 2005 Nature Publishing Group</rights><rights>Copyright Nature Publishing Group Jul 2005</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c616t-fa3ab19240d61af4954e3293d63e45ecbb93d63b2bfa047547aa7ce7cd993dc63</citedby><cites>FETCH-LOGICAL-c616t-fa3ab19240d61af4954e3293d63e45ecbb93d63b2bfa047547aa7ce7cd993dc63</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1038/sj.ijo.0802986$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1038/sj.ijo.0802986$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27915,27916,41479,42548,51310</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=16875840$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/15917850$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Czernichow, S</creatorcontrib><creatorcontrib>Bertrais, S</creatorcontrib><creatorcontrib>Oppert, J-M</creatorcontrib><creatorcontrib>Galan, P</creatorcontrib><creatorcontrib>Blacher, J</creatorcontrib><creatorcontrib>Ducimetière, P</creatorcontrib><creatorcontrib>Hercberg, S</creatorcontrib><creatorcontrib>Zureik, M</creatorcontrib><title>Body composition and fat repartition in relation to structure and function of large arteries in middle-aged adults (the SU.VI.MAX study)</title><title>International Journal of Obesity</title><addtitle>Int J Obes</addtitle><addtitle>Int J Obes (Lond)</addtitle><description>OBJECTIVE:
To investigate associations of body composition assessed by bioimpedance analysis and anthropometric indicators of fat repartition with carotid structure and function.
DESIGN:
Cross-sectional epidemiological study.
SUBJECTS:
A total of 1014 middle-aged apparently healthy adults participating in the SU.VI.MAX study.
MEASUREMENTS:
Body composition (fat mass, fat-free mass) was assessed by bioimpedance analysis and anthropometric indicators of fat repartition (waist circumference (WC); waist-hip-ratio (WHR)) were simultaneously collected. Carotid ultrasound examination included measurements of intima-media thickness (IMT) at the common carotid arteries (CCA) and assessment of atherosclerotic plaques in extracranial carotid arteries. Carotid-femoral pulse-wave velocity (PWV) was used as a marker of aortic stiffness.
RESULTS:
In multivariate analyses adjusted for major known cardiovascular risk factors in addition to age, gender and height, fat-free mass, fat mass (FM), and WC were positively associated with CCA-IMT and lumen diameter. No significant association was found with occurrence of carotid plaques. PWV was only associated with WC. Associations of CCA-IMT and PWV with WC were not significant anymore after further adjustment on body mass index (BMI) or FM.
CONCLUSION:
WC was the only measurement positively associated with both early atherosclerosis markers such as CCA-IMT and arterial stiffness. Although this association depends on overall adiposity, as assessed by the BMI, it emphasizes the importance of WC in clinical practice and prevention programs as a screening tool for individuals at risk for cardiovascular disease.</description><subject>Abdomen</subject><subject>Adipose Tissue - pathology</subject><subject>Anthropometry</subject><subject>Arteriosclerosis - diagnostic imaging</subject><subject>Arteriosclerosis - pathology</subject><subject>Arteriosclerosis - physiopathology</subject><subject>Atherosclerosis</subject><subject>Atherosclerosis (general aspects, experimental research)</subject><subject>Biological and medical sciences</subject><subject>Blood and lymphatic vessels</subject><subject>Body Composition</subject><subject>Body fat</subject><subject>Body mass index</subject><subject>Cardiology. Vascular system</subject><subject>Cardiovascular disease</subject><subject>Cardiovascular diseases</subject><subject>Carotid arteries</subject><subject>Carotid Artery, Common - diagnostic imaging</subject><subject>Carotid Artery, Common - pathology</subject><subject>Electric Impedance</subject><subject>Epidemiology</subject><subject>Female</subject><subject>Health Promotion and Disease Prevention</subject><subject>Health risks</subject><subject>Humans</subject><subject>Internal Medicine</subject><subject>Logistic Models</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Metabolic Diseases</subject><subject>Middle age</subject><subject>Middle Aged</subject><subject>Multivariate Analysis</subject><subject>Obesity</subject><subject>Obesity - diagnostic imaging</subject><subject>Obesity - pathology</subject><subject>Obesity - physiopathology</subject><subject>Prevention</subject><subject>Public Health</subject><subject>Risk Factors</subject><subject>Ultrasonography</subject><subject>Veins & arteries</subject><subject>Wave velocity</subject><issn>0307-0565</issn><issn>1476-5497</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2005</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp1kktv1DAUhSMEokNhyw4UgahgkdROYjtZTiselYpYQBE768Z2ZjxK7KntLOYf8LPrTAYGUJEXtu_9zvFDJ0meY5RjVNbnfpPrjc1RjYqmpg-SBa4YzUjVsIfJApWIZYhQcpI88X6DECIEFY-TE0wazGqCFsnPCyt3qbDD1nodtDUpGJl2EFKntuDCXNMmbnvYr4NNfXCjCKNTMzwase_YLu3BrWLVBeW08pNu0FL2KoOVkinIsQ8-fRvWKv16k3-_yj8vf0S3Ue7ePU0eddB79ewwnyY3H95_u_yUXX_5eHW5vM4ExTRkHZTQ4qaokKQYuqohlSqLppS0VBVRom3367ZoO0AVIxUDYEIxIZvYELQ8Tc5m362zt6PygQ_aC9X3YJQdPaeswZSWZQRf_QNu7OhMvBsvcFNiQpoiQq9naAW94tp0NjgQkyNf4rquqrosWKTye6g4pBq0sEZ1Otb_Epz9IVgr6MPa236cvtnf6yyc9d6pjm-dHsDtOEZ8Cgj3Gx4Dwg8BiYKXh1eN7aDkET8kIgJvDgB4AX3nwAjtjxytGamriTufOR9bZqXc8Xv-e_SLWWFgys5vy1_9O-zr3Hw</recordid><startdate>20050701</startdate><enddate>20050701</enddate><creator>Czernichow, S</creator><creator>Bertrais, S</creator><creator>Oppert, J-M</creator><creator>Galan, P</creator><creator>Blacher, J</creator><creator>Ducimetière, P</creator><creator>Hercberg, S</creator><creator>Zureik, M</creator><general>Nature Publishing Group UK</general><general>Nature Publishing</general><general>Nature Publishing Group</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>3V.</scope><scope>7T2</scope><scope>7TK</scope><scope>7TS</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>8AO</scope><scope>8C1</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>M7P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope></search><sort><creationdate>20050701</creationdate><title>Body composition and fat repartition in relation to structure and function of large arteries in middle-aged adults (the SU.VI.MAX study)</title><author>Czernichow, S ; Bertrais, S ; Oppert, J-M ; Galan, P ; Blacher, J ; Ducimetière, P ; Hercberg, S ; Zureik, M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c616t-fa3ab19240d61af4954e3293d63e45ecbb93d63b2bfa047547aa7ce7cd993dc63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Abdomen</topic><topic>Adipose Tissue - pathology</topic><topic>Anthropometry</topic><topic>Arteriosclerosis - diagnostic imaging</topic><topic>Arteriosclerosis - pathology</topic><topic>Arteriosclerosis - physiopathology</topic><topic>Atherosclerosis</topic><topic>Atherosclerosis (general aspects, experimental research)</topic><topic>Biological and medical sciences</topic><topic>Blood and lymphatic vessels</topic><topic>Body Composition</topic><topic>Body fat</topic><topic>Body mass index</topic><topic>Cardiology. Vascular system</topic><topic>Cardiovascular disease</topic><topic>Cardiovascular diseases</topic><topic>Carotid arteries</topic><topic>Carotid Artery, Common - diagnostic imaging</topic><topic>Carotid Artery, Common - pathology</topic><topic>Electric Impedance</topic><topic>Epidemiology</topic><topic>Female</topic><topic>Health Promotion and Disease Prevention</topic><topic>Health risks</topic><topic>Humans</topic><topic>Internal Medicine</topic><topic>Logistic Models</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Metabolic Diseases</topic><topic>Middle age</topic><topic>Middle Aged</topic><topic>Multivariate Analysis</topic><topic>Obesity</topic><topic>Obesity - diagnostic imaging</topic><topic>Obesity - pathology</topic><topic>Obesity - physiopathology</topic><topic>Prevention</topic><topic>Public Health</topic><topic>Risk Factors</topic><topic>Ultrasonography</topic><topic>Veins & arteries</topic><topic>Wave velocity</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Czernichow, S</creatorcontrib><creatorcontrib>Bertrais, S</creatorcontrib><creatorcontrib>Oppert, J-M</creatorcontrib><creatorcontrib>Galan, P</creatorcontrib><creatorcontrib>Blacher, J</creatorcontrib><creatorcontrib>Ducimetière, P</creatorcontrib><creatorcontrib>Hercberg, S</creatorcontrib><creatorcontrib>Zureik, M</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>ProQuest Central (Corporate)</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Neurosciences Abstracts</collection><collection>Physical Education Index</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>Psychology Database (Alumni)</collection><collection>ProQuest Pharma Collection</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>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Psychology Database</collection><collection>Biological Science Database</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 One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>International Journal of Obesity</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Czernichow, S</au><au>Bertrais, S</au><au>Oppert, J-M</au><au>Galan, P</au><au>Blacher, J</au><au>Ducimetière, P</au><au>Hercberg, S</au><au>Zureik, M</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Body composition and fat repartition in relation to structure and function of large arteries in middle-aged adults (the SU.VI.MAX study)</atitle><jtitle>International Journal of Obesity</jtitle><stitle>Int J Obes</stitle><addtitle>Int J Obes (Lond)</addtitle><date>2005-07-01</date><risdate>2005</risdate><volume>29</volume><issue>7</issue><spage>826</spage><epage>832</epage><pages>826-832</pages><issn>0307-0565</issn><eissn>1476-5497</eissn><coden>IJOBDP</coden><abstract>OBJECTIVE:
To investigate associations of body composition assessed by bioimpedance analysis and anthropometric indicators of fat repartition with carotid structure and function.
DESIGN:
Cross-sectional epidemiological study.
SUBJECTS:
A total of 1014 middle-aged apparently healthy adults participating in the SU.VI.MAX study.
MEASUREMENTS:
Body composition (fat mass, fat-free mass) was assessed by bioimpedance analysis and anthropometric indicators of fat repartition (waist circumference (WC); waist-hip-ratio (WHR)) were simultaneously collected. Carotid ultrasound examination included measurements of intima-media thickness (IMT) at the common carotid arteries (CCA) and assessment of atherosclerotic plaques in extracranial carotid arteries. Carotid-femoral pulse-wave velocity (PWV) was used as a marker of aortic stiffness.
RESULTS:
In multivariate analyses adjusted for major known cardiovascular risk factors in addition to age, gender and height, fat-free mass, fat mass (FM), and WC were positively associated with CCA-IMT and lumen diameter. No significant association was found with occurrence of carotid plaques. PWV was only associated with WC. Associations of CCA-IMT and PWV with WC were not significant anymore after further adjustment on body mass index (BMI) or FM.
CONCLUSION:
WC was the only measurement positively associated with both early atherosclerosis markers such as CCA-IMT and arterial stiffness. Although this association depends on overall adiposity, as assessed by the BMI, it emphasizes the importance of WC in clinical practice and prevention programs as a screening tool for individuals at risk for cardiovascular disease.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>15917850</pmid><doi>10.1038/sj.ijo.0802986</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
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source | MEDLINE; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Springer Nature - Complete Springer Journals; Nature Journals Online |
subjects | Abdomen Adipose Tissue - pathology Anthropometry Arteriosclerosis - diagnostic imaging Arteriosclerosis - pathology Arteriosclerosis - physiopathology Atherosclerosis Atherosclerosis (general aspects, experimental research) Biological and medical sciences Blood and lymphatic vessels Body Composition Body fat Body mass index Cardiology. Vascular system Cardiovascular disease Cardiovascular diseases Carotid arteries Carotid Artery, Common - diagnostic imaging Carotid Artery, Common - pathology Electric Impedance Epidemiology Female Health Promotion and Disease Prevention Health risks Humans Internal Medicine Logistic Models Male Medical sciences Medicine Medicine & Public Health Metabolic Diseases Middle age Middle Aged Multivariate Analysis Obesity Obesity - diagnostic imaging Obesity - pathology Obesity - physiopathology Prevention Public Health Risk Factors Ultrasonography Veins & arteries Wave velocity |
title | Body composition and fat repartition in relation to structure and function of large arteries in middle-aged adults (the SU.VI.MAX study) |
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