Components of the “Metabolic Syndrome” and Incidence of Type 2 Diabetes
Components of the “Metabolic Syndrome” and Incidence of Type 2 Diabetes Robert L. Hanson , Giuseppina Imperatore , Peter H. Bennett and William C. Knowler From the Diabetes and Arthritis Epidemiology Section, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, Arizona Abstract...
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description | Components of the “Metabolic Syndrome” and Incidence of Type 2 Diabetes
Robert L. Hanson ,
Giuseppina Imperatore ,
Peter H. Bennett and
William C. Knowler
From the Diabetes and Arthritis Epidemiology Section, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix,
Arizona
Abstract
The combination of insulin resistance, dyslipidemia, hypertension, and obesity has been described as a “metabolic syndrome”
that is a strong determinant of type 2 diabetes. Factor analysis was used to identify components of this syndrome in 1,918
Pima Indians. Prospective analyses were conducted to evaluate associations of identified factors with incidence of diabetes.
Factor analysis identified 4 factors that accounted for 79% of the variance in the original 10 variables. Each of these factors
reflected a proposed component of the metabolic syndrome: insulinemia, body size, blood pressure, and lipid metabolism. Among
890 originally nondiabetic participants with follow-up data, 144 developed diabetes in a median follow-up of 4.1 years. The
insulinemia factor was strongly associated with diabetes incidence (incidence rate ratio [IRR] for a 1-SD difference in factor
scores = 1.81, P < 0.01). The body size and lipids factors also significantly predicted diabetes (IRR 1.52 and 1.37, respectively, P < 0.01 for both), whereas the blood pressure factor did not (IRR 1.11, P = 0.20). Identification of four unique factors with different associations with incidence of diabetes suggests that the correlations
among these variables reflect distinct metabolic processes, about which substantial information may be lost in the attempt
to combine them into a single entity.
Footnotes
Address correspondence to Robert L. Hanson, Diabetes and Arthritis Epidemiology Section, National Institute of Diabetes and
Digestive and Kidney Diseases, 1550 E. Indian School Rd., Phoenix, AZ 85014. E-mail: rhanson{at}phx.niddk.nih.gov .
Received for publication 9 May 2002 and accepted in revised form 17 July 2002.
G.I. is currently affiliated with the Division of Diabetes Translation, National Center for Chronic Disease Prevention and
Health Promotion, Centers for Disease Control, Atlanta, Georgia.
G 0 , fasting glucose concentration; G 2 , 2-h plasma glucose concentration; I 0 , fasting insulin concentration; I 2 , 2-h serum insulin concentration; IRR, incidence rate ratio; NCEP, National Cholesterol Education Program; ROC, receiver
operating characteristic; WHO, World Health Organization.
DIABETE |
doi_str_mv | 10.2337/diabetes.51.10.3120 |
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Robert L. Hanson ,
Giuseppina Imperatore ,
Peter H. Bennett and
William C. Knowler
From the Diabetes and Arthritis Epidemiology Section, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix,
Arizona
Abstract
The combination of insulin resistance, dyslipidemia, hypertension, and obesity has been described as a “metabolic syndrome”
that is a strong determinant of type 2 diabetes. Factor analysis was used to identify components of this syndrome in 1,918
Pima Indians. Prospective analyses were conducted to evaluate associations of identified factors with incidence of diabetes.
Factor analysis identified 4 factors that accounted for 79% of the variance in the original 10 variables. Each of these factors
reflected a proposed component of the metabolic syndrome: insulinemia, body size, blood pressure, and lipid metabolism. Among
890 originally nondiabetic participants with follow-up data, 144 developed diabetes in a median follow-up of 4.1 years. The
insulinemia factor was strongly associated with diabetes incidence (incidence rate ratio [IRR] for a 1-SD difference in factor
scores = 1.81, P < 0.01). The body size and lipids factors also significantly predicted diabetes (IRR 1.52 and 1.37, respectively, P < 0.01 for both), whereas the blood pressure factor did not (IRR 1.11, P = 0.20). Identification of four unique factors with different associations with incidence of diabetes suggests that the correlations
among these variables reflect distinct metabolic processes, about which substantial information may be lost in the attempt
to combine them into a single entity.
Footnotes
Address correspondence to Robert L. Hanson, Diabetes and Arthritis Epidemiology Section, National Institute of Diabetes and
Digestive and Kidney Diseases, 1550 E. Indian School Rd., Phoenix, AZ 85014. E-mail: rhanson{at}phx.niddk.nih.gov .
Received for publication 9 May 2002 and accepted in revised form 17 July 2002.
G.I. is currently affiliated with the Division of Diabetes Translation, National Center for Chronic Disease Prevention and
Health Promotion, Centers for Disease Control, Atlanta, Georgia.
G 0 , fasting glucose concentration; G 2 , 2-h plasma glucose concentration; I 0 , fasting insulin concentration; I 2 , 2-h serum insulin concentration; IRR, incidence rate ratio; NCEP, National Cholesterol Education Program; ROC, receiver
operating characteristic; WHO, World Health Organization.
DIABETES</description><identifier>ISSN: 0012-1797</identifier><identifier>EISSN: 1939-327X</identifier><identifier>DOI: 10.2337/diabetes.51.10.3120</identifier><identifier>PMID: 12351457</identifier><identifier>CODEN: DIAEAZ</identifier><language>eng</language><publisher>Alexandria, VA: American Diabetes Association</publisher><subject>Adult ; Associated diseases and complications ; Biological and medical sciences ; Blood Pressure ; Body Constitution ; Cardiovascular disease ; Diabetes ; Diabetes Mellitus, Type 2 - epidemiology ; Diabetes research ; Diabetes. Impaired glucose tolerance ; Endocrine pancreas. Apud cells (diseases) ; Endocrinopathies ; Epidemiology ; Female ; Follow-Up Studies ; Humans ; Hyperglycemia - epidemiology ; Hyperinsulinism - epidemiology ; Hypertension ; Incidence ; Indians, North American ; Insulin Resistance ; Lipid Metabolism ; Male ; Medical sciences ; Metabolic diseases ; Metabolic disorders ; Metabolic syndrome ; Metabolic Syndrome - epidemiology ; Obesity ; Physiological aspects ; Risk Factors ; Type 2 diabetes</subject><ispartof>Diabetes (New York, N.Y.), 2002-10, Vol.51 (10), p.3120-3127</ispartof><rights>2003 INIST-CNRS</rights><rights>COPYRIGHT 2002 American Diabetes Association</rights><rights>Copyright American Diabetes Association Oct 2002</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c678t-a6f24d8ff8f0170af5d8a5e9f8ef62058f2dee08b35291ca08d4de00f10c4feb3</citedby><cites>FETCH-LOGICAL-c678t-a6f24d8ff8f0170af5d8a5e9f8ef62058f2dee08b35291ca08d4de00f10c4feb3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27923,27924</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=13956889$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/12351457$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>HANSON, Robert L</creatorcontrib><creatorcontrib>IMPERATORE, Giuseppina</creatorcontrib><creatorcontrib>BENNETT, Peter H</creatorcontrib><creatorcontrib>KNOWLER, William C</creatorcontrib><title>Components of the “Metabolic Syndrome” and Incidence of Type 2 Diabetes</title><title>Diabetes (New York, N.Y.)</title><addtitle>Diabetes</addtitle><description>Components of the “Metabolic Syndrome” and Incidence of Type 2 Diabetes
Robert L. Hanson ,
Giuseppina Imperatore ,
Peter H. Bennett and
William C. Knowler
From the Diabetes and Arthritis Epidemiology Section, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix,
Arizona
Abstract
The combination of insulin resistance, dyslipidemia, hypertension, and obesity has been described as a “metabolic syndrome”
that is a strong determinant of type 2 diabetes. Factor analysis was used to identify components of this syndrome in 1,918
Pima Indians. Prospective analyses were conducted to evaluate associations of identified factors with incidence of diabetes.
Factor analysis identified 4 factors that accounted for 79% of the variance in the original 10 variables. Each of these factors
reflected a proposed component of the metabolic syndrome: insulinemia, body size, blood pressure, and lipid metabolism. Among
890 originally nondiabetic participants with follow-up data, 144 developed diabetes in a median follow-up of 4.1 years. The
insulinemia factor was strongly associated with diabetes incidence (incidence rate ratio [IRR] for a 1-SD difference in factor
scores = 1.81, P < 0.01). The body size and lipids factors also significantly predicted diabetes (IRR 1.52 and 1.37, respectively, P < 0.01 for both), whereas the blood pressure factor did not (IRR 1.11, P = 0.20). Identification of four unique factors with different associations with incidence of diabetes suggests that the correlations
among these variables reflect distinct metabolic processes, about which substantial information may be lost in the attempt
to combine them into a single entity.
Footnotes
Address correspondence to Robert L. Hanson, Diabetes and Arthritis Epidemiology Section, National Institute of Diabetes and
Digestive and Kidney Diseases, 1550 E. Indian School Rd., Phoenix, AZ 85014. E-mail: rhanson{at}phx.niddk.nih.gov .
Received for publication 9 May 2002 and accepted in revised form 17 July 2002.
G.I. is currently affiliated with the Division of Diabetes Translation, National Center for Chronic Disease Prevention and
Health Promotion, Centers for Disease Control, Atlanta, Georgia.
G 0 , fasting glucose concentration; G 2 , 2-h plasma glucose concentration; I 0 , fasting insulin concentration; I 2 , 2-h serum insulin concentration; IRR, incidence rate ratio; NCEP, National Cholesterol Education Program; ROC, receiver
operating characteristic; WHO, World Health Organization.
DIABETES</description><subject>Adult</subject><subject>Associated diseases and complications</subject><subject>Biological and medical sciences</subject><subject>Blood Pressure</subject><subject>Body Constitution</subject><subject>Cardiovascular disease</subject><subject>Diabetes</subject><subject>Diabetes Mellitus, Type 2 - epidemiology</subject><subject>Diabetes research</subject><subject>Diabetes. Impaired glucose tolerance</subject><subject>Endocrine pancreas. Apud cells (diseases)</subject><subject>Endocrinopathies</subject><subject>Epidemiology</subject><subject>Female</subject><subject>Follow-Up Studies</subject><subject>Humans</subject><subject>Hyperglycemia - epidemiology</subject><subject>Hyperinsulinism - epidemiology</subject><subject>Hypertension</subject><subject>Incidence</subject><subject>Indians, North American</subject><subject>Insulin Resistance</subject><subject>Lipid Metabolism</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Metabolic diseases</subject><subject>Metabolic disorders</subject><subject>Metabolic syndrome</subject><subject>Metabolic Syndrome - epidemiology</subject><subject>Obesity</subject><subject>Physiological aspects</subject><subject>Risk Factors</subject><subject>Type 2 diabetes</subject><issn>0012-1797</issn><issn>1939-327X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2002</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNp90t2K1DAUB_AiijuuPoEgRXDxwo75aNr0cpnVdXFkL1zBu5AmJzNZ2mZMWnTu9kH05fZJTNlKXRkkF4HD7ySHwz9JnmO0JJSWb7WVNfQQlgwvY41igh4kC1zRKqOk_PowWSCESYbLqjxKnoRwjRAq4nmcHGFCGc5ZuUg-rly7cx10fUidSfstpLc3Pz9BL2vXWJV-3nfauxZub36lstPpRaeshk7BqK_2O0hJejYN8jR5ZGQT4Nl0Hydf3r-7Wn3I1pfnF6vTdaaKkveZLAzJNTeGG4RLJA3TXDKoDAdTEMS4IRoA8ZoyUmElEde5BoQMRio3UNPj5OTu3Z133wYIvWhtUNA0sgM3BFESTCqGWIQv_4HXbvBdnE0QXOQlLTCd0UY2IGxnXO-lGl8UpxVhJC4NR_TmANpAB142cX3GxvLfPDvA49HQWnXIv77nI-nhR7-RQwiCn6__M8lElWsa2ICIi15d3uP0jivvQvBgxM7bVvq9wEiMMRJ_YiQYHmtjjGLXi2lxQ92Cnnum3ETwagIyKNkYL2MuwuxoxQrOq3nard1sv1sP83eH_v0NubfeyA</recordid><startdate>20021001</startdate><enddate>20021001</enddate><creator>HANSON, Robert L</creator><creator>IMPERATORE, Giuseppina</creator><creator>BENNETT, Peter H</creator><creator>KNOWLER, William C</creator><general>American Diabetes Association</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>8GL</scope><scope>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88I</scope><scope>8AF</scope><scope>8AO</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>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BEC</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>HCIFZ</scope><scope>K9-</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0R</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>M2P</scope><scope>M7P</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>S0X</scope><scope>7X8</scope></search><sort><creationdate>20021001</creationdate><title>Components of the “Metabolic Syndrome” and Incidence of Type 2 Diabetes</title><author>HANSON, Robert L ; IMPERATORE, Giuseppina ; BENNETT, Peter H ; KNOWLER, William C</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c678t-a6f24d8ff8f0170af5d8a5e9f8ef62058f2dee08b35291ca08d4de00f10c4feb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2002</creationdate><topic>Adult</topic><topic>Associated diseases and complications</topic><topic>Biological and medical sciences</topic><topic>Blood Pressure</topic><topic>Body Constitution</topic><topic>Cardiovascular disease</topic><topic>Diabetes</topic><topic>Diabetes Mellitus, Type 2 - epidemiology</topic><topic>Diabetes research</topic><topic>Diabetes. Impaired glucose tolerance</topic><topic>Endocrine pancreas. Apud cells (diseases)</topic><topic>Endocrinopathies</topic><topic>Epidemiology</topic><topic>Female</topic><topic>Follow-Up Studies</topic><topic>Humans</topic><topic>Hyperglycemia - epidemiology</topic><topic>Hyperinsulinism - epidemiology</topic><topic>Hypertension</topic><topic>Incidence</topic><topic>Indians, North American</topic><topic>Insulin Resistance</topic><topic>Lipid Metabolism</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Metabolic diseases</topic><topic>Metabolic disorders</topic><topic>Metabolic syndrome</topic><topic>Metabolic Syndrome - epidemiology</topic><topic>Obesity</topic><topic>Physiological aspects</topic><topic>Risk Factors</topic><topic>Type 2 diabetes</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>HANSON, Robert L</creatorcontrib><creatorcontrib>IMPERATORE, Giuseppina</creatorcontrib><creatorcontrib>BENNETT, Peter H</creatorcontrib><creatorcontrib>KNOWLER, William C</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>Gale In Context: High School</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Database</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>STEM Database</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>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>eLibrary</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</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>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>Consumer Health Database (Alumni Edition)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Consumer Health Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Science Database</collection><collection>Biological Science Database</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 China</collection><collection>ProQuest Central Basic</collection><collection>SIRS Editorial</collection><collection>MEDLINE - Academic</collection><jtitle>Diabetes (New York, N.Y.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>HANSON, Robert L</au><au>IMPERATORE, Giuseppina</au><au>BENNETT, Peter H</au><au>KNOWLER, William C</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Components of the “Metabolic Syndrome” and Incidence of Type 2 Diabetes</atitle><jtitle>Diabetes (New York, N.Y.)</jtitle><addtitle>Diabetes</addtitle><date>2002-10-01</date><risdate>2002</risdate><volume>51</volume><issue>10</issue><spage>3120</spage><epage>3127</epage><pages>3120-3127</pages><issn>0012-1797</issn><eissn>1939-327X</eissn><coden>DIAEAZ</coden><abstract>Components of the “Metabolic Syndrome” and Incidence of Type 2 Diabetes
Robert L. Hanson ,
Giuseppina Imperatore ,
Peter H. Bennett and
William C. Knowler
From the Diabetes and Arthritis Epidemiology Section, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix,
Arizona
Abstract
The combination of insulin resistance, dyslipidemia, hypertension, and obesity has been described as a “metabolic syndrome”
that is a strong determinant of type 2 diabetes. Factor analysis was used to identify components of this syndrome in 1,918
Pima Indians. Prospective analyses were conducted to evaluate associations of identified factors with incidence of diabetes.
Factor analysis identified 4 factors that accounted for 79% of the variance in the original 10 variables. Each of these factors
reflected a proposed component of the metabolic syndrome: insulinemia, body size, blood pressure, and lipid metabolism. Among
890 originally nondiabetic participants with follow-up data, 144 developed diabetes in a median follow-up of 4.1 years. The
insulinemia factor was strongly associated with diabetes incidence (incidence rate ratio [IRR] for a 1-SD difference in factor
scores = 1.81, P < 0.01). The body size and lipids factors also significantly predicted diabetes (IRR 1.52 and 1.37, respectively, P < 0.01 for both), whereas the blood pressure factor did not (IRR 1.11, P = 0.20). Identification of four unique factors with different associations with incidence of diabetes suggests that the correlations
among these variables reflect distinct metabolic processes, about which substantial information may be lost in the attempt
to combine them into a single entity.
Footnotes
Address correspondence to Robert L. Hanson, Diabetes and Arthritis Epidemiology Section, National Institute of Diabetes and
Digestive and Kidney Diseases, 1550 E. Indian School Rd., Phoenix, AZ 85014. E-mail: rhanson{at}phx.niddk.nih.gov .
Received for publication 9 May 2002 and accepted in revised form 17 July 2002.
G.I. is currently affiliated with the Division of Diabetes Translation, National Center for Chronic Disease Prevention and
Health Promotion, Centers for Disease Control, Atlanta, Georgia.
G 0 , fasting glucose concentration; G 2 , 2-h plasma glucose concentration; I 0 , fasting insulin concentration; I 2 , 2-h serum insulin concentration; IRR, incidence rate ratio; NCEP, National Cholesterol Education Program; ROC, receiver
operating characteristic; WHO, World Health Organization.
DIABETES</abstract><cop>Alexandria, VA</cop><pub>American Diabetes Association</pub><pmid>12351457</pmid><doi>10.2337/diabetes.51.10.3120</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adult Associated diseases and complications Biological and medical sciences Blood Pressure Body Constitution Cardiovascular disease Diabetes Diabetes Mellitus, Type 2 - epidemiology Diabetes research Diabetes. Impaired glucose tolerance Endocrine pancreas. Apud cells (diseases) Endocrinopathies Epidemiology Female Follow-Up Studies Humans Hyperglycemia - epidemiology Hyperinsulinism - epidemiology Hypertension Incidence Indians, North American Insulin Resistance Lipid Metabolism Male Medical sciences Metabolic diseases Metabolic disorders Metabolic syndrome Metabolic Syndrome - epidemiology Obesity Physiological aspects Risk Factors Type 2 diabetes |
title | Components of the “Metabolic Syndrome” and Incidence of Type 2 Diabetes |
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