Hostility Dimensions and Metabolic Syndrome in a Healthy, Midlife Sample
Objective Evidence links trait hostility with components of the metabolic syndrome (MetS), a clustering of cardiometabolic risk factors, but which hostility dimensions (e.g., expressive or cognitive hostility) relate to MetS are not well known. Further, there may be age and sex differences in the ex...
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Veröffentlicht in: | International journal of behavioral medicine 2020-08, Vol.27 (4), p.475-480 |
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creator | Thomas, Mark C. Kamarck, Thomas W. Wright, Aidan G. C. Matthews, Karen A. Muldoon, Matthew F. Manuck, Stephen B. |
description | Objective
Evidence links trait hostility with components of the metabolic syndrome (MetS), a clustering of cardiometabolic risk factors, but which hostility dimensions (e.g., expressive or cognitive hostility) relate to MetS are not well known. Further, there may be age and sex differences in the extent to which hostility dimensions relate to MetS. The present study evaluated associations between dimensions of hostility and the metabolic syndrome and its individual components as well as the moderating effects of sex and age.
Methods
In a cross-sectional sample of 478 employed adults, a principal component analysis from common trait hostility questionnaires yielded a two-factor solution: expressive hostility (anger and aggression) and cognitive hostility (cynicism). Each of these two components of hostility was examined as predictors of each of two aggregated MetS outcomes: a dichotomous measure of MetS, based upon the NCEP-ATP III definition, and a continuous measure based upon the average of standardized scores for each component; and they were examined as predictors of individual MetS components as well.
Results
Expressive hostility was associated with MetS severity (
b
= 0.110,
p
= 0.04) and waist circumference (
b
= 2.75,
p
= 0.01). Moderation analyses revealed that elevated expressive hostility was associated with elevated waist circumference in women but not men. Cognitive hostility was not related to any metabolic syndrome component or aggregated outcome, and no moderation was observed.
Conclusions
Among multiple individual components and two aggregated scores, only trait dispositions to expressed hostile affect and behavior were associated with MetS severity and waist circumference. The effects were small but statistically significant. The association between cognitive hostility and metabolic syndrome measures may not be robust in a large sample of healthy, midlife adults. |
doi_str_mv | 10.1007/s12529-020-09855-y |
format | Article |
fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7701982</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2352632299</sourcerecordid><originalsourceid>FETCH-LOGICAL-c474t-13ef44f4fa5a37f0c6cb7410aac05437d1271d14b8508d9e2c28e9529f3735363</originalsourceid><addsrcrecordid>eNp9kctuFDEQRS0EIiHhB7JAltiwoEP5Ne7eIKEAmUiJWCSsLY-7OnHktge7B6n_Pk4mTxasqqS6dauuDiEHDA4ZgP5SGFe8a4BDA12rVDO_IrtMCd5opdrXtQcNjVIgdsi7Uq4BQGkNb8mO4CBAde0uWS5TmXzw00y_-xFj8SkWamNPz3CyqxS8o-dz7HMakfpILV2iDdPV_Jme-T74Aem5HdcB98mbwYaC7-_rHvn988fF0bI5_XV8cvTttHFSy6lhAgcpBzlYZYUewC3cSksG1jpQUuiecc16JletgrbvkDveYldjDkILJRZij3zd-q43qxF7h3HKNph19qPNs0nWm5eT6K_MZfpranLWtbwafLo3yOnPBstkRl8chmAjpk0xXCi-EJx3XZV-_Ed6nTY51niGSy5EfejOkG9VLqdSMg6PzzAwt6DMFpSpoMwdKDPXpQ_PYzyuPJCpArEVlDqKl5ifbv_H9gZuDZ4c</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2423335382</pqid></control><display><type>article</type><title>Hostility Dimensions and Metabolic Syndrome in a Healthy, Midlife Sample</title><source>SpringerLink Journals - AutoHoldings</source><creator>Thomas, Mark C. ; Kamarck, Thomas W. ; Wright, Aidan G. C. ; Matthews, Karen A. ; Muldoon, Matthew F. ; Manuck, Stephen B.</creator><creatorcontrib>Thomas, Mark C. ; Kamarck, Thomas W. ; Wright, Aidan G. C. ; Matthews, Karen A. ; Muldoon, Matthew F. ; Manuck, Stephen B.</creatorcontrib><description>Objective
Evidence links trait hostility with components of the metabolic syndrome (MetS), a clustering of cardiometabolic risk factors, but which hostility dimensions (e.g., expressive or cognitive hostility) relate to MetS are not well known. Further, there may be age and sex differences in the extent to which hostility dimensions relate to MetS. The present study evaluated associations between dimensions of hostility and the metabolic syndrome and its individual components as well as the moderating effects of sex and age.
Methods
In a cross-sectional sample of 478 employed adults, a principal component analysis from common trait hostility questionnaires yielded a two-factor solution: expressive hostility (anger and aggression) and cognitive hostility (cynicism). Each of these two components of hostility was examined as predictors of each of two aggregated MetS outcomes: a dichotomous measure of MetS, based upon the NCEP-ATP III definition, and a continuous measure based upon the average of standardized scores for each component; and they were examined as predictors of individual MetS components as well.
Results
Expressive hostility was associated with MetS severity (
b
= 0.110,
p
= 0.04) and waist circumference (
b
= 2.75,
p
= 0.01). Moderation analyses revealed that elevated expressive hostility was associated with elevated waist circumference in women but not men. Cognitive hostility was not related to any metabolic syndrome component or aggregated outcome, and no moderation was observed.
Conclusions
Among multiple individual components and two aggregated scores, only trait dispositions to expressed hostile affect and behavior were associated with MetS severity and waist circumference. The effects were small but statistically significant. The association between cognitive hostility and metabolic syndrome measures may not be robust in a large sample of healthy, midlife adults.</description><identifier>ISSN: 1070-5503</identifier><identifier>EISSN: 1532-7558</identifier><identifier>DOI: 10.1007/s12529-020-09855-y</identifier><identifier>PMID: 32030598</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Brief Report ; Cognitive ability ; Cynicism ; Family Medicine ; General Practice ; Health Psychology ; Hostility ; Medicine ; Medicine & Public Health ; Metabolic syndrome ; Principal components analysis ; Risk factors ; Sex differences ; Statistical analysis</subject><ispartof>International journal of behavioral medicine, 2020-08, Vol.27 (4), p.475-480</ispartof><rights>International Society of Behavioral Medicine 2020</rights><rights>International Society of Behavioral Medicine 2020.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c474t-13ef44f4fa5a37f0c6cb7410aac05437d1271d14b8508d9e2c28e9529f3735363</citedby><cites>FETCH-LOGICAL-c474t-13ef44f4fa5a37f0c6cb7410aac05437d1271d14b8508d9e2c28e9529f3735363</cites><orcidid>0000-0002-6141-726X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s12529-020-09855-y$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s12529-020-09855-y$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>230,314,780,784,885,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32030598$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Thomas, Mark C.</creatorcontrib><creatorcontrib>Kamarck, Thomas W.</creatorcontrib><creatorcontrib>Wright, Aidan G. C.</creatorcontrib><creatorcontrib>Matthews, Karen A.</creatorcontrib><creatorcontrib>Muldoon, Matthew F.</creatorcontrib><creatorcontrib>Manuck, Stephen B.</creatorcontrib><title>Hostility Dimensions and Metabolic Syndrome in a Healthy, Midlife Sample</title><title>International journal of behavioral medicine</title><addtitle>Int.J. Behav. Med</addtitle><addtitle>Int J Behav Med</addtitle><description>Objective
Evidence links trait hostility with components of the metabolic syndrome (MetS), a clustering of cardiometabolic risk factors, but which hostility dimensions (e.g., expressive or cognitive hostility) relate to MetS are not well known. Further, there may be age and sex differences in the extent to which hostility dimensions relate to MetS. The present study evaluated associations between dimensions of hostility and the metabolic syndrome and its individual components as well as the moderating effects of sex and age.
Methods
In a cross-sectional sample of 478 employed adults, a principal component analysis from common trait hostility questionnaires yielded a two-factor solution: expressive hostility (anger and aggression) and cognitive hostility (cynicism). Each of these two components of hostility was examined as predictors of each of two aggregated MetS outcomes: a dichotomous measure of MetS, based upon the NCEP-ATP III definition, and a continuous measure based upon the average of standardized scores for each component; and they were examined as predictors of individual MetS components as well.
Results
Expressive hostility was associated with MetS severity (
b
= 0.110,
p
= 0.04) and waist circumference (
b
= 2.75,
p
= 0.01). Moderation analyses revealed that elevated expressive hostility was associated with elevated waist circumference in women but not men. Cognitive hostility was not related to any metabolic syndrome component or aggregated outcome, and no moderation was observed.
Conclusions
Among multiple individual components and two aggregated scores, only trait dispositions to expressed hostile affect and behavior were associated with MetS severity and waist circumference. The effects were small but statistically significant. The association between cognitive hostility and metabolic syndrome measures may not be robust in a large sample of healthy, midlife adults.</description><subject>Brief Report</subject><subject>Cognitive ability</subject><subject>Cynicism</subject><subject>Family Medicine</subject><subject>General Practice</subject><subject>Health Psychology</subject><subject>Hostility</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Metabolic syndrome</subject><subject>Principal components analysis</subject><subject>Risk factors</subject><subject>Sex differences</subject><subject>Statistical analysis</subject><issn>1070-5503</issn><issn>1532-7558</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNp9kctuFDEQRS0EIiHhB7JAltiwoEP5Ne7eIKEAmUiJWCSsLY-7OnHktge7B6n_Pk4mTxasqqS6dauuDiEHDA4ZgP5SGFe8a4BDA12rVDO_IrtMCd5opdrXtQcNjVIgdsi7Uq4BQGkNb8mO4CBAde0uWS5TmXzw00y_-xFj8SkWamNPz3CyqxS8o-dz7HMakfpILV2iDdPV_Jme-T74Aem5HdcB98mbwYaC7-_rHvn988fF0bI5_XV8cvTttHFSy6lhAgcpBzlYZYUewC3cSksG1jpQUuiecc16JletgrbvkDveYldjDkILJRZij3zd-q43qxF7h3HKNph19qPNs0nWm5eT6K_MZfpranLWtbwafLo3yOnPBstkRl8chmAjpk0xXCi-EJx3XZV-_Ed6nTY51niGSy5EfejOkG9VLqdSMg6PzzAwt6DMFpSpoMwdKDPXpQ_PYzyuPJCpArEVlDqKl5ifbv_H9gZuDZ4c</recordid><startdate>20200801</startdate><enddate>20200801</enddate><creator>Thomas, Mark C.</creator><creator>Kamarck, Thomas W.</creator><creator>Wright, Aidan G. C.</creator><creator>Matthews, Karen A.</creator><creator>Muldoon, Matthew F.</creator><creator>Manuck, Stephen B.</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>M2O</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-6141-726X</orcidid></search><sort><creationdate>20200801</creationdate><title>Hostility Dimensions and Metabolic Syndrome in a Healthy, Midlife Sample</title><author>Thomas, Mark C. ; Kamarck, Thomas W. ; Wright, Aidan G. C. ; Matthews, Karen A. ; Muldoon, Matthew F. ; Manuck, Stephen B.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c474t-13ef44f4fa5a37f0c6cb7410aac05437d1271d14b8508d9e2c28e9529f3735363</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Brief Report</topic><topic>Cognitive ability</topic><topic>Cynicism</topic><topic>Family Medicine</topic><topic>General Practice</topic><topic>Health Psychology</topic><topic>Hostility</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Metabolic syndrome</topic><topic>Principal components analysis</topic><topic>Risk factors</topic><topic>Sex differences</topic><topic>Statistical analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Thomas, Mark C.</creatorcontrib><creatorcontrib>Kamarck, Thomas W.</creatorcontrib><creatorcontrib>Wright, Aidan G. C.</creatorcontrib><creatorcontrib>Matthews, Karen A.</creatorcontrib><creatorcontrib>Muldoon, Matthew F.</creatorcontrib><creatorcontrib>Manuck, Stephen B.</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Database</collection><collection>Neurosciences Abstracts</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>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>ProQuest Central</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>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Psychology Database</collection><collection>Research Library</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 One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>International journal of behavioral medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Thomas, Mark C.</au><au>Kamarck, Thomas W.</au><au>Wright, Aidan G. C.</au><au>Matthews, Karen A.</au><au>Muldoon, Matthew F.</au><au>Manuck, Stephen B.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Hostility Dimensions and Metabolic Syndrome in a Healthy, Midlife Sample</atitle><jtitle>International journal of behavioral medicine</jtitle><stitle>Int.J. Behav. Med</stitle><addtitle>Int J Behav Med</addtitle><date>2020-08-01</date><risdate>2020</risdate><volume>27</volume><issue>4</issue><spage>475</spage><epage>480</epage><pages>475-480</pages><issn>1070-5503</issn><eissn>1532-7558</eissn><abstract>Objective
Evidence links trait hostility with components of the metabolic syndrome (MetS), a clustering of cardiometabolic risk factors, but which hostility dimensions (e.g., expressive or cognitive hostility) relate to MetS are not well known. Further, there may be age and sex differences in the extent to which hostility dimensions relate to MetS. The present study evaluated associations between dimensions of hostility and the metabolic syndrome and its individual components as well as the moderating effects of sex and age.
Methods
In a cross-sectional sample of 478 employed adults, a principal component analysis from common trait hostility questionnaires yielded a two-factor solution: expressive hostility (anger and aggression) and cognitive hostility (cynicism). Each of these two components of hostility was examined as predictors of each of two aggregated MetS outcomes: a dichotomous measure of MetS, based upon the NCEP-ATP III definition, and a continuous measure based upon the average of standardized scores for each component; and they were examined as predictors of individual MetS components as well.
Results
Expressive hostility was associated with MetS severity (
b
= 0.110,
p
= 0.04) and waist circumference (
b
= 2.75,
p
= 0.01). Moderation analyses revealed that elevated expressive hostility was associated with elevated waist circumference in women but not men. Cognitive hostility was not related to any metabolic syndrome component or aggregated outcome, and no moderation was observed.
Conclusions
Among multiple individual components and two aggregated scores, only trait dispositions to expressed hostile affect and behavior were associated with MetS severity and waist circumference. The effects were small but statistically significant. The association between cognitive hostility and metabolic syndrome measures may not be robust in a large sample of healthy, midlife adults.</abstract><cop>New York</cop><pub>Springer US</pub><pmid>32030598</pmid><doi>10.1007/s12529-020-09855-y</doi><tpages>6</tpages><orcidid>https://orcid.org/0000-0002-6141-726X</orcidid><oa>free_for_read</oa></addata></record> |
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source | SpringerLink Journals - AutoHoldings |
subjects | Brief Report Cognitive ability Cynicism Family Medicine General Practice Health Psychology Hostility Medicine Medicine & Public Health Metabolic syndrome Principal components analysis Risk factors Sex differences Statistical analysis |
title | Hostility Dimensions and Metabolic Syndrome in a Healthy, Midlife Sample |
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