Gender‐ and race‐specific metabolic score and cardiovascular disease mortality in adults: A structural equation modeling approach—United States, 1988‐2006
Objective Consider all metabolic syndrome (MetS) components [systolic (SBP) and diastolic (DBP) blood pressures, waist circumference, HDL cholesterol, triglycerides (TG), and fasting glucose] and gender/race differential risk when assessing cardiovascular disease (CVD) risk. Methods We estimated a g...
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| Veröffentlicht in: | Obesity (Silver Spring, Md.) Md.), 2015-09, Vol.23 (9), p.1911-1919 |
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| container_title | Obesity (Silver Spring, Md.) |
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| creator | Mercado, Carla I. Yang, Quanhe Ford, Earl S. Gregg, Edward Valderrama, Amy L. |
| description | Objective
Consider all metabolic syndrome (MetS) components [systolic (SBP) and diastolic (DBP) blood pressures, waist circumference, HDL cholesterol, triglycerides (TG), and fasting glucose] and gender/race differential risk when assessing cardiovascular disease (CVD) risk.
Methods
We estimated a gender‐ and race‐specific continuous MetS score using structural equation modeling and tested its association with CVD mortality using data from National Health and Nutrition Examination Survey III linked with the National Death Index. Cox proportional hazard regression tested the association adjusted for sociodemographic and behavior characteristics.
Results
For men, continuous MetS components associated with CVD mortality were SBP (hazard ratio = 1.50, 95% confidence interval = 1.14‐1.96), DBP (1.48, 1.16‐1.90), and TG (1.15, 1.12‐1.16). In women, SBP (1.44, 1.27‐1.63) and DBP (1.24, 1.02‐1.51) were associated with CVD mortality. MetS score was not significantly associated with CVD mortality in men; but significant associations were found for all women (1.34, 1.06‐1.68), non‐Hispanic white women (1.29, 1.01‐1.64), non‐Hispanic black women (2.03, 1.12‐3.69), and Mexican‐American women (3.57, 2.21‐5.76). Goodness‐of‐fit and concordance were overall better for models with the MetS score than MetS (yes/no).
Conclusions
When assessing CVD mortality risk, MetS score provided additional information than MetS (yes/no). |
| doi_str_mv | 10.1002/oby.21171 |
| format | Article |
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Consider all metabolic syndrome (MetS) components [systolic (SBP) and diastolic (DBP) blood pressures, waist circumference, HDL cholesterol, triglycerides (TG), and fasting glucose] and gender/race differential risk when assessing cardiovascular disease (CVD) risk.
Methods
We estimated a gender‐ and race‐specific continuous MetS score using structural equation modeling and tested its association with CVD mortality using data from National Health and Nutrition Examination Survey III linked with the National Death Index. Cox proportional hazard regression tested the association adjusted for sociodemographic and behavior characteristics.
Results
For men, continuous MetS components associated with CVD mortality were SBP (hazard ratio = 1.50, 95% confidence interval = 1.14‐1.96), DBP (1.48, 1.16‐1.90), and TG (1.15, 1.12‐1.16). In women, SBP (1.44, 1.27‐1.63) and DBP (1.24, 1.02‐1.51) were associated with CVD mortality. MetS score was not significantly associated with CVD mortality in men; but significant associations were found for all women (1.34, 1.06‐1.68), non‐Hispanic white women (1.29, 1.01‐1.64), non‐Hispanic black women (2.03, 1.12‐3.69), and Mexican‐American women (3.57, 2.21‐5.76). Goodness‐of‐fit and concordance were overall better for models with the MetS score than MetS (yes/no).
Conclusions
When assessing CVD mortality risk, MetS score provided additional information than MetS (yes/no).</description><identifier>ISSN: 1930-7381</identifier><identifier>EISSN: 1930-739X</identifier><identifier>DOI: 10.1002/oby.21171</identifier><identifier>PMID: 26308480</identifier><language>eng</language><publisher>United States: Blackwell Publishing Ltd</publisher><subject>Adolescent ; Adult ; Aged ; Cardiovascular Diseases - mortality ; Cholesterol ; Continental Population Groups ; Female ; Gender Identity ; Health risk assessment ; Heart attacks ; History, 20th Century ; History, 21st Century ; Humans ; Male ; Metabolic Syndrome - mortality ; Middle Aged ; Mortality ; Nutrition Surveys ; Risk Factors ; Studies ; United States ; Young Adult</subject><ispartof>Obesity (Silver Spring, Md.), 2015-09, Vol.23 (9), p.1911-1919</ispartof><rights>2015 The Obesity Society</rights><rights>2015 The Obesity Society.</rights><rights>Copyright Blackwell Publishing Ltd. Sep 2015</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3581-ff07b727106a5ea719684e7d08fdecc80ffae534b798c62db26e470d335481c83</citedby><cites>FETCH-LOGICAL-c3581-ff07b727106a5ea719684e7d08fdecc80ffae534b798c62db26e470d335481c83</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Foby.21171$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Foby.21171$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>230,314,776,780,881,1411,1427,27901,27902,45550,45551,46384,46808</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26308480$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Mercado, Carla I.</creatorcontrib><creatorcontrib>Yang, Quanhe</creatorcontrib><creatorcontrib>Ford, Earl S.</creatorcontrib><creatorcontrib>Gregg, Edward</creatorcontrib><creatorcontrib>Valderrama, Amy L.</creatorcontrib><title>Gender‐ and race‐specific metabolic score and cardiovascular disease mortality in adults: A structural equation modeling approach—United States, 1988‐2006</title><title>Obesity (Silver Spring, Md.)</title><addtitle>Obesity (Silver Spring)</addtitle><description>Objective
Consider all metabolic syndrome (MetS) components [systolic (SBP) and diastolic (DBP) blood pressures, waist circumference, HDL cholesterol, triglycerides (TG), and fasting glucose] and gender/race differential risk when assessing cardiovascular disease (CVD) risk.
Methods
We estimated a gender‐ and race‐specific continuous MetS score using structural equation modeling and tested its association with CVD mortality using data from National Health and Nutrition Examination Survey III linked with the National Death Index. Cox proportional hazard regression tested the association adjusted for sociodemographic and behavior characteristics.
Results
For men, continuous MetS components associated with CVD mortality were SBP (hazard ratio = 1.50, 95% confidence interval = 1.14‐1.96), DBP (1.48, 1.16‐1.90), and TG (1.15, 1.12‐1.16). In women, SBP (1.44, 1.27‐1.63) and DBP (1.24, 1.02‐1.51) were associated with CVD mortality. MetS score was not significantly associated with CVD mortality in men; but significant associations were found for all women (1.34, 1.06‐1.68), non‐Hispanic white women (1.29, 1.01‐1.64), non‐Hispanic black women (2.03, 1.12‐3.69), and Mexican‐American women (3.57, 2.21‐5.76). Goodness‐of‐fit and concordance were overall better for models with the MetS score than MetS (yes/no).
Conclusions
When assessing CVD mortality risk, MetS score provided additional information than MetS (yes/no).</description><subject>Adolescent</subject><subject>Adult</subject><subject>Aged</subject><subject>Cardiovascular Diseases - mortality</subject><subject>Cholesterol</subject><subject>Continental Population Groups</subject><subject>Female</subject><subject>Gender Identity</subject><subject>Health risk assessment</subject><subject>Heart attacks</subject><subject>History, 20th Century</subject><subject>History, 21st Century</subject><subject>Humans</subject><subject>Male</subject><subject>Metabolic Syndrome - mortality</subject><subject>Middle Aged</subject><subject>Mortality</subject><subject>Nutrition Surveys</subject><subject>Risk Factors</subject><subject>Studies</subject><subject>United States</subject><subject>Young Adult</subject><issn>1930-7381</issn><issn>1930-739X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp1kc1qFTEYhgdRbK0uvAEJuFHwtMn8JBkXQi1ahUIXWtBV-Cb5pk3JSaZJpnJ2vQQXXoGX1isx7akHFVzlhTy8PB9vVT1ldJdRWu-FYbVbMybYvWqb9Q1diKb_cn-TJduqHqV0TmnLacceVls1b6hsJd2ufh6iNxivr74T8IZE0FhymlDb0WqyxAxDcCUlHSLeMhqiseESkp4dRGJsQkhIliFmcDaviPUEzOxyek32Scpx1nmO4AhezJBt8AU16Kw_JTBNMYA-u776ceJtRkM-ZciYXhHWS1lEakr54-rBCC7hk7t3pzp5_-7zwYfF0fHhx4P9o4VuOskW40jFIGrBKIcOQbCeyxaFoXI0qLWk4wjYNe0geql5bYaaYyuoaZqulUzLZqd6s-6d5mGJRqPPxVpN0S4hrlQAq_7-8fZMnYZL1dV9x3hTCl7cFcRwMWPKammTRufAY5iTYoLKwrW8Lujzf9DzMEdfzisUL1pCNjdGL9eUjiGliONGhlF1s7wqy6vb5Qv77E_7Dfl76gLsrYFv1uHq_03q-O3XdeUva_e-TQ</recordid><startdate>201509</startdate><enddate>201509</enddate><creator>Mercado, Carla I.</creator><creator>Yang, Quanhe</creator><creator>Ford, Earl S.</creator><creator>Gregg, Edward</creator><creator>Valderrama, Amy L.</creator><general>Blackwell Publishing Ltd</general><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>K9.</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>201509</creationdate><title>Gender‐ and race‐specific metabolic score and cardiovascular disease mortality in adults: A structural equation modeling approach—United States, 1988‐2006</title><author>Mercado, Carla I. ; Yang, Quanhe ; Ford, Earl S. ; Gregg, Edward ; Valderrama, Amy L.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3581-ff07b727106a5ea719684e7d08fdecc80ffae534b798c62db26e470d335481c83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Aged</topic><topic>Cardiovascular Diseases - mortality</topic><topic>Cholesterol</topic><topic>Continental Population Groups</topic><topic>Female</topic><topic>Gender Identity</topic><topic>Health risk assessment</topic><topic>Heart attacks</topic><topic>History, 20th Century</topic><topic>History, 21st Century</topic><topic>Humans</topic><topic>Male</topic><topic>Metabolic Syndrome - mortality</topic><topic>Middle Aged</topic><topic>Mortality</topic><topic>Nutrition Surveys</topic><topic>Risk Factors</topic><topic>Studies</topic><topic>United States</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mercado, Carla I.</creatorcontrib><creatorcontrib>Yang, Quanhe</creatorcontrib><creatorcontrib>Ford, Earl S.</creatorcontrib><creatorcontrib>Gregg, Edward</creatorcontrib><creatorcontrib>Valderrama, Amy L.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Obesity (Silver Spring, Md.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mercado, Carla I.</au><au>Yang, Quanhe</au><au>Ford, Earl S.</au><au>Gregg, Edward</au><au>Valderrama, Amy L.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Gender‐ and race‐specific metabolic score and cardiovascular disease mortality in adults: A structural equation modeling approach—United States, 1988‐2006</atitle><jtitle>Obesity (Silver Spring, Md.)</jtitle><addtitle>Obesity (Silver Spring)</addtitle><date>2015-09</date><risdate>2015</risdate><volume>23</volume><issue>9</issue><spage>1911</spage><epage>1919</epage><pages>1911-1919</pages><issn>1930-7381</issn><eissn>1930-739X</eissn><abstract>Objective
Consider all metabolic syndrome (MetS) components [systolic (SBP) and diastolic (DBP) blood pressures, waist circumference, HDL cholesterol, triglycerides (TG), and fasting glucose] and gender/race differential risk when assessing cardiovascular disease (CVD) risk.
Methods
We estimated a gender‐ and race‐specific continuous MetS score using structural equation modeling and tested its association with CVD mortality using data from National Health and Nutrition Examination Survey III linked with the National Death Index. Cox proportional hazard regression tested the association adjusted for sociodemographic and behavior characteristics.
Results
For men, continuous MetS components associated with CVD mortality were SBP (hazard ratio = 1.50, 95% confidence interval = 1.14‐1.96), DBP (1.48, 1.16‐1.90), and TG (1.15, 1.12‐1.16). In women, SBP (1.44, 1.27‐1.63) and DBP (1.24, 1.02‐1.51) were associated with CVD mortality. MetS score was not significantly associated with CVD mortality in men; but significant associations were found for all women (1.34, 1.06‐1.68), non‐Hispanic white women (1.29, 1.01‐1.64), non‐Hispanic black women (2.03, 1.12‐3.69), and Mexican‐American women (3.57, 2.21‐5.76). Goodness‐of‐fit and concordance were overall better for models with the MetS score than MetS (yes/no).
Conclusions
When assessing CVD mortality risk, MetS score provided additional information than MetS (yes/no).</abstract><cop>United States</cop><pub>Blackwell Publishing Ltd</pub><pmid>26308480</pmid><doi>10.1002/oby.21171</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record> |
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| identifier | ISSN: 1930-7381 |
| ispartof | Obesity (Silver Spring, Md.), 2015-09, Vol.23 (9), p.1911-1919 |
| issn | 1930-7381 1930-739X |
| language | eng |
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| source | Wiley Free Content; MEDLINE; Wiley Online Library Journals Frontfile Complete |
| subjects | Adolescent Adult Aged Cardiovascular Diseases - mortality Cholesterol Continental Population Groups Female Gender Identity Health risk assessment Heart attacks History, 20th Century History, 21st Century Humans Male Metabolic Syndrome - mortality Middle Aged Mortality Nutrition Surveys Risk Factors Studies United States Young Adult |
| title | Gender‐ and race‐specific metabolic score and cardiovascular disease mortality in adults: A structural equation modeling approach—United States, 1988‐2006 |
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