The Metabolic syndrome is associated with subclinical atherosclerosis independent of insulin resistance: the Guangzhou Biobank Cohort Study-CVD
Summary Objective We examined whether the association of the metabolic syndrome (MetS) and subclinical atherosclerosis is independent of insulin resistance in a Chinese community sample with no history of type 2 diabetes. Methods Five hundred and ninety‐six men and 526 women from a substudy of the...
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| Veröffentlicht in: | Clinical endocrinology (Oxford) 2010-08, Vol.73 (2), p.181-188 |
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| creator | Xu, Lin Jiang, Chao Qiang Lam, Tai Hing Lin, Jie Ming Yue, Xiao Jun Cheng, Kar Keung Liu, Bin Jin, Ya Li Zhang, Wei Sen Thomas, G Neil |
| description | Summary
Objective We examined whether the association of the metabolic syndrome (MetS) and subclinical atherosclerosis is independent of insulin resistance in a Chinese community sample with no history of type 2 diabetes.
Methods Five hundred and ninety‐six men and 526 women from a substudy of the Guangzhou Biobank Cohort Study (GBCS‐CVD) had carotid intimal‐medial thickness (IMT) measured by B‐mode ultrasonography, and brachial‐ankle pulse wave velocity (PWV) and ankle‐brachial systolic blood pressure index (ABI) measured simultaneously by a noninvasive automatic waveform analyser.
Results Fourteen percentage had MetS as defined by the International Diabetes Federation. Obesity indices, systolic and diastolic blood pressure and pulse pressure, lipids, fasting and postload glucose and insulin, homeostatic model assessment of insulin resistance, glycosylated haemoglobin A1c, leptin, high‐sensitivity C‐reactive protein, IMT and PWV increased and high‐density lipoprotein‐cholesterol, adiponectin and ABI decreased significantly with increasing number of MetS components after adjusting for age and sex (P for trend from 0·004 to |
| doi_str_mv | 10.1111/j.1365-2265.2009.03760.x |
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| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_734032039</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3377098151</sourcerecordid><originalsourceid>FETCH-LOGICAL-c4640-37b7d44e91e1f83c2249ec5817290734d90701fef6cb738ec6dde25483a06d0a3</originalsourceid><addsrcrecordid>eNqNkd2O0zAQhSMEYrsLr4AsIcRVyjjOLxIXS9gWpKVcUH7EjeU4E-puGhc70bb7ErwyE1qKxBW-GNvyd8ajc4KAcZhyWi_WUy7SJIyiNJlGAMUURJbCdHcvmJwe7gcTEAAhpGl8Fpx7vwaAJIfsYXBGGlHkhZgEP5crZO-xV5VtjWZ-39XObpAZz5T3VhvVY81uTb9ifqh0azqjVctUv0JnvW7HSqzpatwila5ntqGrHwhlDumxV53Gl4wUbD6o7vvdyg7stbGV6m5YaVfW9exjP9T7sPz85lHwoFGtx8fH_SL4NLtalm_D6w_zd-XldajjNIZQZFVWxzEWHHmTCx1FcYE6yXkWFZCJuKYKvMEm1VUmctRpXWOUxLlQkNagxEXw_NB36-yPAX0vN8ZrbFvVoR28pB4gInKJyKf_kGs7uI6GkzyJkzzPgQNR-YHSZIh32MitMxvl9pKDHDOTazlGI8do5JiZ_J2Z3JH0yfGDodpgfRL-CYmAZ0dAeTK_cWSo8X85AUJwHhH36sDdmhb3_z2ALK8W44n04UFPmeHupFfuRqaZyBL5ZTGXX2ezRbyMuPwmfgEY0MJ4</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1545888010</pqid></control><display><type>article</type><title>The Metabolic syndrome is associated with subclinical atherosclerosis independent of insulin resistance: the Guangzhou Biobank Cohort Study-CVD</title><source>MEDLINE</source><source>Wiley Online Library Journals Frontfile Complete</source><creator>Xu, Lin ; Jiang, Chao Qiang ; Lam, Tai Hing ; Lin, Jie Ming ; Yue, Xiao Jun ; Cheng, Kar Keung ; Liu, Bin ; Jin, Ya Li ; Zhang, Wei Sen ; Thomas, G Neil</creator><creatorcontrib>Xu, Lin ; Jiang, Chao Qiang ; Lam, Tai Hing ; Lin, Jie Ming ; Yue, Xiao Jun ; Cheng, Kar Keung ; Liu, Bin ; Jin, Ya Li ; Zhang, Wei Sen ; Thomas, G Neil ; Guangzhou Biobank Cohort Study-CVD</creatorcontrib><description>Summary
Objective We examined whether the association of the metabolic syndrome (MetS) and subclinical atherosclerosis is independent of insulin resistance in a Chinese community sample with no history of type 2 diabetes.
Methods Five hundred and ninety‐six men and 526 women from a substudy of the Guangzhou Biobank Cohort Study (GBCS‐CVD) had carotid intimal‐medial thickness (IMT) measured by B‐mode ultrasonography, and brachial‐ankle pulse wave velocity (PWV) and ankle‐brachial systolic blood pressure index (ABI) measured simultaneously by a noninvasive automatic waveform analyser.
Results Fourteen percentage had MetS as defined by the International Diabetes Federation. Obesity indices, systolic and diastolic blood pressure and pulse pressure, lipids, fasting and postload glucose and insulin, homeostatic model assessment of insulin resistance, glycosylated haemoglobin A1c, leptin, high‐sensitivity C‐reactive protein, IMT and PWV increased and high‐density lipoprotein‐cholesterol, adiponectin and ABI decreased significantly with increasing number of MetS components after adjusting for age and sex (P for trend from 0·004 to <0·001). After adjusting for traditional cardiovascular risk factors and insulin resistance, the odds ratios [OR (95% CI)] of thicker IMT (≥1·0 mm), higher PWV (≥14·0 m/s) and low ABI (≤1·0) for MetS were significantly increased [2.28 (1.19−4.38), 2.17 (1.36−3.46) and 1.72 (1.14−2.59), respectively, all P < 0.01] but were lower than the adjusted OR for those with three or more MetS components.
Conclusion MetS was associated with subclinical atherosclerosis independent of insulin resistance. The presence of increasing number of MetS risk factors appeared to be more important than the diagnosis of MetS in predicting subclinical atherosclerosis. Early screening for MetS risk factors might identify those at greater cardiovascular risk.</description><identifier>ISSN: 0300-0664</identifier><identifier>EISSN: 1365-2265</identifier><identifier>DOI: 10.1111/j.1365-2265.2009.03760.x</identifier><identifier>PMID: 20039893</identifier><identifier>CODEN: CLECAP</identifier><language>eng</language><publisher>Oxford, UK: Blackwell Publishing Ltd</publisher><subject>Aged ; Aged, 80 and over ; Atherosclerosis ; Atherosclerosis - complications ; Atherosclerosis - epidemiology ; Atherosclerosis - etiology ; Atherosclerosis - metabolism ; Biological and medical sciences ; Cardiovascular Diseases - epidemiology ; Cardiovascular Diseases - etiology ; Cohort Studies ; Databases, Factual ; Diabetes ; Endocrinopathies ; Female ; Fundamental and applied biological sciences. Psychology ; Health risk assessment ; Humans ; Insulin resistance ; Insulin Resistance - physiology ; Male ; Medical sciences ; Metabolic diseases ; Metabolic syndrome ; Metabolic Syndrome - complications ; Metabolic Syndrome - epidemiology ; Metabolic Syndrome - metabolism ; Middle Aged ; Miscellaneous ; Obesity - complications ; Obesity - epidemiology ; Obesity - metabolism ; Other metabolic disorders ; Prevalence ; Risk Factors ; Vertebrates: endocrinology</subject><ispartof>Clinical endocrinology (Oxford), 2010-08, Vol.73 (2), p.181-188</ispartof><rights>2010 Blackwell Publishing Ltd</rights><rights>2015 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4640-37b7d44e91e1f83c2249ec5817290734d90701fef6cb738ec6dde25483a06d0a3</citedby><cites>FETCH-LOGICAL-c4640-37b7d44e91e1f83c2249ec5817290734d90701fef6cb738ec6dde25483a06d0a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fj.1365-2265.2009.03760.x$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fj.1365-2265.2009.03760.x$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27901,27902,45550,45551</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=23033112$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/20039893$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Xu, Lin</creatorcontrib><creatorcontrib>Jiang, Chao Qiang</creatorcontrib><creatorcontrib>Lam, Tai Hing</creatorcontrib><creatorcontrib>Lin, Jie Ming</creatorcontrib><creatorcontrib>Yue, Xiao Jun</creatorcontrib><creatorcontrib>Cheng, Kar Keung</creatorcontrib><creatorcontrib>Liu, Bin</creatorcontrib><creatorcontrib>Jin, Ya Li</creatorcontrib><creatorcontrib>Zhang, Wei Sen</creatorcontrib><creatorcontrib>Thomas, G Neil</creatorcontrib><creatorcontrib>Guangzhou Biobank Cohort Study-CVD</creatorcontrib><title>The Metabolic syndrome is associated with subclinical atherosclerosis independent of insulin resistance: the Guangzhou Biobank Cohort Study-CVD</title><title>Clinical endocrinology (Oxford)</title><addtitle>Clin Endocrinol (Oxf)</addtitle><description>Summary
Objective We examined whether the association of the metabolic syndrome (MetS) and subclinical atherosclerosis is independent of insulin resistance in a Chinese community sample with no history of type 2 diabetes.
Methods Five hundred and ninety‐six men and 526 women from a substudy of the Guangzhou Biobank Cohort Study (GBCS‐CVD) had carotid intimal‐medial thickness (IMT) measured by B‐mode ultrasonography, and brachial‐ankle pulse wave velocity (PWV) and ankle‐brachial systolic blood pressure index (ABI) measured simultaneously by a noninvasive automatic waveform analyser.
Results Fourteen percentage had MetS as defined by the International Diabetes Federation. Obesity indices, systolic and diastolic blood pressure and pulse pressure, lipids, fasting and postload glucose and insulin, homeostatic model assessment of insulin resistance, glycosylated haemoglobin A1c, leptin, high‐sensitivity C‐reactive protein, IMT and PWV increased and high‐density lipoprotein‐cholesterol, adiponectin and ABI decreased significantly with increasing number of MetS components after adjusting for age and sex (P for trend from 0·004 to <0·001). After adjusting for traditional cardiovascular risk factors and insulin resistance, the odds ratios [OR (95% CI)] of thicker IMT (≥1·0 mm), higher PWV (≥14·0 m/s) and low ABI (≤1·0) for MetS were significantly increased [2.28 (1.19−4.38), 2.17 (1.36−3.46) and 1.72 (1.14−2.59), respectively, all P < 0.01] but were lower than the adjusted OR for those with three or more MetS components.
Conclusion MetS was associated with subclinical atherosclerosis independent of insulin resistance. The presence of increasing number of MetS risk factors appeared to be more important than the diagnosis of MetS in predicting subclinical atherosclerosis. Early screening for MetS risk factors might identify those at greater cardiovascular risk.</description><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Atherosclerosis</subject><subject>Atherosclerosis - complications</subject><subject>Atherosclerosis - epidemiology</subject><subject>Atherosclerosis - etiology</subject><subject>Atherosclerosis - metabolism</subject><subject>Biological and medical sciences</subject><subject>Cardiovascular Diseases - epidemiology</subject><subject>Cardiovascular Diseases - etiology</subject><subject>Cohort Studies</subject><subject>Databases, Factual</subject><subject>Diabetes</subject><subject>Endocrinopathies</subject><subject>Female</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Health risk assessment</subject><subject>Humans</subject><subject>Insulin resistance</subject><subject>Insulin Resistance - physiology</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Metabolic diseases</subject><subject>Metabolic syndrome</subject><subject>Metabolic Syndrome - complications</subject><subject>Metabolic Syndrome - epidemiology</subject><subject>Metabolic Syndrome - metabolism</subject><subject>Middle Aged</subject><subject>Miscellaneous</subject><subject>Obesity - complications</subject><subject>Obesity - epidemiology</subject><subject>Obesity - metabolism</subject><subject>Other metabolic disorders</subject><subject>Prevalence</subject><subject>Risk Factors</subject><subject>Vertebrates: endocrinology</subject><issn>0300-0664</issn><issn>1365-2265</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkd2O0zAQhSMEYrsLr4AsIcRVyjjOLxIXS9gWpKVcUH7EjeU4E-puGhc70bb7ErwyE1qKxBW-GNvyd8ajc4KAcZhyWi_WUy7SJIyiNJlGAMUURJbCdHcvmJwe7gcTEAAhpGl8Fpx7vwaAJIfsYXBGGlHkhZgEP5crZO-xV5VtjWZ-39XObpAZz5T3VhvVY81uTb9ifqh0azqjVctUv0JnvW7HSqzpatwila5ntqGrHwhlDumxV53Gl4wUbD6o7vvdyg7stbGV6m5YaVfW9exjP9T7sPz85lHwoFGtx8fH_SL4NLtalm_D6w_zd-XldajjNIZQZFVWxzEWHHmTCx1FcYE6yXkWFZCJuKYKvMEm1VUmctRpXWOUxLlQkNagxEXw_NB36-yPAX0vN8ZrbFvVoR28pB4gInKJyKf_kGs7uI6GkzyJkzzPgQNR-YHSZIh32MitMxvl9pKDHDOTazlGI8do5JiZ_J2Z3JH0yfGDodpgfRL-CYmAZ0dAeTK_cWSo8X85AUJwHhH36sDdmhb3_z2ALK8W44n04UFPmeHupFfuRqaZyBL5ZTGXX2ezRbyMuPwmfgEY0MJ4</recordid><startdate>201008</startdate><enddate>201008</enddate><creator>Xu, Lin</creator><creator>Jiang, Chao Qiang</creator><creator>Lam, Tai Hing</creator><creator>Lin, Jie Ming</creator><creator>Yue, Xiao Jun</creator><creator>Cheng, Kar Keung</creator><creator>Liu, Bin</creator><creator>Jin, Ya Li</creator><creator>Zhang, Wei Sen</creator><creator>Thomas, G Neil</creator><general>Blackwell Publishing Ltd</general><general>Blackwell</general><general>Wiley Subscription Services, Inc</general><scope>BSCLL</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>7QP</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope></search><sort><creationdate>201008</creationdate><title>The Metabolic syndrome is associated with subclinical atherosclerosis independent of insulin resistance: the Guangzhou Biobank Cohort Study-CVD</title><author>Xu, Lin ; Jiang, Chao Qiang ; Lam, Tai Hing ; Lin, Jie Ming ; Yue, Xiao Jun ; Cheng, Kar Keung ; Liu, Bin ; Jin, Ya Li ; Zhang, Wei Sen ; Thomas, G Neil</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4640-37b7d44e91e1f83c2249ec5817290734d90701fef6cb738ec6dde25483a06d0a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Atherosclerosis</topic><topic>Atherosclerosis - complications</topic><topic>Atherosclerosis - epidemiology</topic><topic>Atherosclerosis - etiology</topic><topic>Atherosclerosis - metabolism</topic><topic>Biological and medical sciences</topic><topic>Cardiovascular Diseases - epidemiology</topic><topic>Cardiovascular Diseases - etiology</topic><topic>Cohort Studies</topic><topic>Databases, Factual</topic><topic>Diabetes</topic><topic>Endocrinopathies</topic><topic>Female</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Health risk assessment</topic><topic>Humans</topic><topic>Insulin resistance</topic><topic>Insulin Resistance - physiology</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Metabolic diseases</topic><topic>Metabolic syndrome</topic><topic>Metabolic Syndrome - complications</topic><topic>Metabolic Syndrome - epidemiology</topic><topic>Metabolic Syndrome - metabolism</topic><topic>Middle Aged</topic><topic>Miscellaneous</topic><topic>Obesity - complications</topic><topic>Obesity - epidemiology</topic><topic>Obesity - metabolism</topic><topic>Other metabolic disorders</topic><topic>Prevalence</topic><topic>Risk Factors</topic><topic>Vertebrates: endocrinology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Xu, Lin</creatorcontrib><creatorcontrib>Jiang, Chao Qiang</creatorcontrib><creatorcontrib>Lam, Tai Hing</creatorcontrib><creatorcontrib>Lin, Jie Ming</creatorcontrib><creatorcontrib>Yue, Xiao Jun</creatorcontrib><creatorcontrib>Cheng, Kar Keung</creatorcontrib><creatorcontrib>Liu, Bin</creatorcontrib><creatorcontrib>Jin, Ya Li</creatorcontrib><creatorcontrib>Zhang, Wei Sen</creatorcontrib><creatorcontrib>Thomas, G Neil</creatorcontrib><creatorcontrib>Guangzhou Biobank Cohort Study-CVD</creatorcontrib><collection>Istex</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>Calcium & Calcified Tissue Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>MEDLINE - Academic</collection><jtitle>Clinical endocrinology (Oxford)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Xu, Lin</au><au>Jiang, Chao Qiang</au><au>Lam, Tai Hing</au><au>Lin, Jie Ming</au><au>Yue, Xiao Jun</au><au>Cheng, Kar Keung</au><au>Liu, Bin</au><au>Jin, Ya Li</au><au>Zhang, Wei Sen</au><au>Thomas, G Neil</au><aucorp>Guangzhou Biobank Cohort Study-CVD</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The Metabolic syndrome is associated with subclinical atherosclerosis independent of insulin resistance: the Guangzhou Biobank Cohort Study-CVD</atitle><jtitle>Clinical endocrinology (Oxford)</jtitle><addtitle>Clin Endocrinol (Oxf)</addtitle><date>2010-08</date><risdate>2010</risdate><volume>73</volume><issue>2</issue><spage>181</spage><epage>188</epage><pages>181-188</pages><issn>0300-0664</issn><eissn>1365-2265</eissn><coden>CLECAP</coden><abstract>Summary
Objective We examined whether the association of the metabolic syndrome (MetS) and subclinical atherosclerosis is independent of insulin resistance in a Chinese community sample with no history of type 2 diabetes.
Methods Five hundred and ninety‐six men and 526 women from a substudy of the Guangzhou Biobank Cohort Study (GBCS‐CVD) had carotid intimal‐medial thickness (IMT) measured by B‐mode ultrasonography, and brachial‐ankle pulse wave velocity (PWV) and ankle‐brachial systolic blood pressure index (ABI) measured simultaneously by a noninvasive automatic waveform analyser.
Results Fourteen percentage had MetS as defined by the International Diabetes Federation. Obesity indices, systolic and diastolic blood pressure and pulse pressure, lipids, fasting and postload glucose and insulin, homeostatic model assessment of insulin resistance, glycosylated haemoglobin A1c, leptin, high‐sensitivity C‐reactive protein, IMT and PWV increased and high‐density lipoprotein‐cholesterol, adiponectin and ABI decreased significantly with increasing number of MetS components after adjusting for age and sex (P for trend from 0·004 to <0·001). After adjusting for traditional cardiovascular risk factors and insulin resistance, the odds ratios [OR (95% CI)] of thicker IMT (≥1·0 mm), higher PWV (≥14·0 m/s) and low ABI (≤1·0) for MetS were significantly increased [2.28 (1.19−4.38), 2.17 (1.36−3.46) and 1.72 (1.14−2.59), respectively, all P < 0.01] but were lower than the adjusted OR for those with three or more MetS components.
Conclusion MetS was associated with subclinical atherosclerosis independent of insulin resistance. The presence of increasing number of MetS risk factors appeared to be more important than the diagnosis of MetS in predicting subclinical atherosclerosis. Early screening for MetS risk factors might identify those at greater cardiovascular risk.</abstract><cop>Oxford, UK</cop><pub>Blackwell Publishing Ltd</pub><pmid>20039893</pmid><doi>10.1111/j.1365-2265.2009.03760.x</doi><tpages>8</tpages></addata></record> |
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| subjects | Aged Aged, 80 and over Atherosclerosis Atherosclerosis - complications Atherosclerosis - epidemiology Atherosclerosis - etiology Atherosclerosis - metabolism Biological and medical sciences Cardiovascular Diseases - epidemiology Cardiovascular Diseases - etiology Cohort Studies Databases, Factual Diabetes Endocrinopathies Female Fundamental and applied biological sciences. Psychology Health risk assessment Humans Insulin resistance Insulin Resistance - physiology Male Medical sciences Metabolic diseases Metabolic syndrome Metabolic Syndrome - complications Metabolic Syndrome - epidemiology Metabolic Syndrome - metabolism Middle Aged Miscellaneous Obesity - complications Obesity - epidemiology Obesity - metabolism Other metabolic disorders Prevalence Risk Factors Vertebrates: endocrinology |
| title | The Metabolic syndrome is associated with subclinical atherosclerosis independent of insulin resistance: the Guangzhou Biobank Cohort Study-CVD |
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