Anthropometric measures of adiposity as correlates of atherogenic index of plasma in non-obese sedentary Nigerian males
The increase in cardiovascular events has necessitated the identification of possible predictors that can help in predicting atherogenicity. The study sought to identify the anthropometric measures of adiposity that are associated with atherogenic risk in sedentary, non-obese, young male adults. A c...
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Veröffentlicht in: | Libyan journal of medicine 2014-01, Vol.9 (1), p.23798-5 |
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description | The increase in cardiovascular events has necessitated the identification of possible predictors that can help in predicting atherogenicity.
The study sought to identify the anthropometric measures of adiposity that are associated with atherogenic risk in sedentary, non-obese, young male adults.
A cross-sectional design was used to recruit a purposive sample of 414 sedentary males in a university campus. Anthropometric measures of adiposity, lipid parameters, and atherogenic index of plasma (AIP) were assessed. Pearson correlation and stepwise multiple regression were used to analyze the data collected. Alpha level was set at p |
doi_str_mv | 10.3402/ljm.v9.23798 |
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The study sought to identify the anthropometric measures of adiposity that are associated with atherogenic risk in sedentary, non-obese, young male adults.
A cross-sectional design was used to recruit a purposive sample of 414 sedentary males in a university campus. Anthropometric measures of adiposity, lipid parameters, and atherogenic index of plasma (AIP) were assessed. Pearson correlation and stepwise multiple regression were used to analyze the data collected. Alpha level was set at p<0.05.
There was a high risk of cardiovascular events (AIP=0.36±0.04 SD) among the participants. A significant correlation (p=0.000) was obtained between each of the anthropometric measures (except conicity index) and AIP. Body mass index, body adiposity index, and percent body fat were significant predictors accounting for 38.9, 3.1, and 2.2% of the variance due to AIP.
Sedentary status among young males is associated with high atherogenic risk in the presence of normal lipid and anthropometric parameters. Both central and general measures of adiposity predict less than half of the atherogenic risk in sedentary young males.</description><identifier>ISSN: 1993-2820</identifier><identifier>ISSN: 1819-6357</identifier><identifier>EISSN: 1819-6357</identifier><identifier>DOI: 10.3402/ljm.v9.23798</identifier><identifier>PMID: 24702831</identifier><language>eng</language><publisher>United States: Taylor & Francis</publisher><subject>Abdomen ; Adipose Tissue ; adiposity ; Adiposity - ethnology ; Adolescent ; Adult ; anthropometric ; atherogenicity ; Atherosclerosis - epidemiology ; Atherosclerosis - ethnology ; Atherosclerosis - prevention & control ; Body Composition ; Body Mass Index ; Cardiovascular disease ; Clinical medicine ; College campuses ; Cross-Sectional Studies ; Diabetes ; Disease prevention ; Exercise ; Health sciences ; Humans ; Lipids ; Male ; Males ; Metabolic disorders ; Nigeria - epidemiology ; Obesity ; Original ; Plasma ; Population ; Predictive Value of Tests ; predictors ; Risk Assessment ; Risk Factors ; Sampling Studies ; sedentary ; Sedentary Behavior ; Sports medicine ; Studies ; University students</subject><ispartof>Libyan journal of medicine, 2014-01, Vol.9 (1), p.23798-5</ispartof><rights>2014 Antoninus O. Ezeukwu and Elias O. Agwubike 2014</rights><rights>Copyright Co-Action Publishing 2014</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c526t-823ed685cd88b54ef19011a26d68b07b076f10158cbf2dd0017b2d2ffa0eb3493</citedby><cites>FETCH-LOGICAL-c526t-823ed685cd88b54ef19011a26d68b07b076f10158cbf2dd0017b2d2ffa0eb3493</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3976532/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3976532/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,724,777,781,861,882,2096,4125,27483,27905,27906,53772,53774,59122,59123</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24702831$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ezeukwu, Antoninus O.</creatorcontrib><creatorcontrib>Agwubike, Elias O.</creatorcontrib><title>Anthropometric measures of adiposity as correlates of atherogenic index of plasma in non-obese sedentary Nigerian males</title><title>Libyan journal of medicine</title><addtitle>Libyan J Med</addtitle><description>The increase in cardiovascular events has necessitated the identification of possible predictors that can help in predicting atherogenicity.
The study sought to identify the anthropometric measures of adiposity that are associated with atherogenic risk in sedentary, non-obese, young male adults.
A cross-sectional design was used to recruit a purposive sample of 414 sedentary males in a university campus. Anthropometric measures of adiposity, lipid parameters, and atherogenic index of plasma (AIP) were assessed. Pearson correlation and stepwise multiple regression were used to analyze the data collected. Alpha level was set at p<0.05.
There was a high risk of cardiovascular events (AIP=0.36±0.04 SD) among the participants. A significant correlation (p=0.000) was obtained between each of the anthropometric measures (except conicity index) and AIP. Body mass index, body adiposity index, and percent body fat were significant predictors accounting for 38.9, 3.1, and 2.2% of the variance due to AIP.
Sedentary status among young males is associated with high atherogenic risk in the presence of normal lipid and anthropometric parameters. Both central and general measures of adiposity predict less than half of the atherogenic risk in sedentary young males.</description><subject>Abdomen</subject><subject>Adipose Tissue</subject><subject>adiposity</subject><subject>Adiposity - ethnology</subject><subject>Adolescent</subject><subject>Adult</subject><subject>anthropometric</subject><subject>atherogenicity</subject><subject>Atherosclerosis - epidemiology</subject><subject>Atherosclerosis - ethnology</subject><subject>Atherosclerosis - prevention & control</subject><subject>Body Composition</subject><subject>Body Mass Index</subject><subject>Cardiovascular disease</subject><subject>Clinical medicine</subject><subject>College campuses</subject><subject>Cross-Sectional Studies</subject><subject>Diabetes</subject><subject>Disease prevention</subject><subject>Exercise</subject><subject>Health sciences</subject><subject>Humans</subject><subject>Lipids</subject><subject>Male</subject><subject>Males</subject><subject>Metabolic disorders</subject><subject>Nigeria - epidemiology</subject><subject>Obesity</subject><subject>Original</subject><subject>Plasma</subject><subject>Population</subject><subject>Predictive Value of Tests</subject><subject>predictors</subject><subject>Risk Assessment</subject><subject>Risk Factors</subject><subject>Sampling Studies</subject><subject>sedentary</subject><subject>Sedentary Behavior</subject><subject>Sports medicine</subject><subject>Studies</subject><subject>University students</subject><issn>1993-2820</issn><issn>1819-6357</issn><issn>1819-6357</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>0YH</sourceid><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>DOA</sourceid><recordid>eNptkU2LFDEQhhtR3A-9eZYGr_aYz-7kIiyLrguLXvQcqjuVmQzdyZj0zO78ezM74-KCEEhS9dZTVbxV9Y6SBReEfRrX02KnF4x3Wr2ozqmiumm57F6Wt9a8YYqRs-oi5zUhUhEtXldnTHSEKU7Pq_urMK9S3MQJ5-SHekLI24S5jq4G6zcx-3lfQ66HmBKOMJ9S8wpTXGIoJT5YfDgENyPkCcq_DjE0sceMdUaLYYa0r7_7JSYPoZ5gxPymeuVgzPj2dF9Wv75--Xn9rbn7cXN7fXXXDJK1c6MYR9sqOVileinQUU0oBdaWYE-6clpHCZVq6B2zlhDa9cwy54Bgz4Xml9XtkWsjrM0m-anMYiJ48xiIaWkgzX4Y0fDeciU7EJw6waTUSKgSUgurpeioKqzPR9Zm209oh7JYgvEZ9Hkm-JVZxp3humslZwXw4QRI8fcW82zWcZtC2d_QlmkhlFaHNh-PqiHFnBO6pw6UmIPlplhudto8Wl7k7_-d6kn81-Mi6I4CH1xME9zHNFozw36MySUIg8-G_xf9B2crvN0</recordid><startdate>20140101</startdate><enddate>20140101</enddate><creator>Ezeukwu, Antoninus O.</creator><creator>Agwubike, Elias O.</creator><general>Taylor & Francis</general><general>Taylor & Francis Ltd</general><general>Co-Action Publishing</general><general>Taylor & Francis Group</general><scope>0YH</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>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</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>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20140101</creationdate><title>Anthropometric measures of adiposity as correlates of atherogenic index of plasma in non-obese sedentary Nigerian males</title><author>Ezeukwu, Antoninus O. ; Agwubike, Elias O.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c526t-823ed685cd88b54ef19011a26d68b07b076f10158cbf2dd0017b2d2ffa0eb3493</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Abdomen</topic><topic>Adipose Tissue</topic><topic>adiposity</topic><topic>Adiposity - ethnology</topic><topic>Adolescent</topic><topic>Adult</topic><topic>anthropometric</topic><topic>atherogenicity</topic><topic>Atherosclerosis - epidemiology</topic><topic>Atherosclerosis - ethnology</topic><topic>Atherosclerosis - prevention & control</topic><topic>Body Composition</topic><topic>Body Mass Index</topic><topic>Cardiovascular disease</topic><topic>Clinical medicine</topic><topic>College campuses</topic><topic>Cross-Sectional Studies</topic><topic>Diabetes</topic><topic>Disease prevention</topic><topic>Exercise</topic><topic>Health sciences</topic><topic>Humans</topic><topic>Lipids</topic><topic>Male</topic><topic>Males</topic><topic>Metabolic disorders</topic><topic>Nigeria - epidemiology</topic><topic>Obesity</topic><topic>Original</topic><topic>Plasma</topic><topic>Population</topic><topic>Predictive Value of Tests</topic><topic>predictors</topic><topic>Risk Assessment</topic><topic>Risk Factors</topic><topic>Sampling Studies</topic><topic>sedentary</topic><topic>Sedentary Behavior</topic><topic>Sports medicine</topic><topic>Studies</topic><topic>University students</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ezeukwu, Antoninus O.</creatorcontrib><creatorcontrib>Agwubike, Elias O.</creatorcontrib><collection>Taylor & Francis Open Access</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 & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</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 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 Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Publicly Available Content 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 Central China</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Libyan journal of medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ezeukwu, Antoninus O.</au><au>Agwubike, Elias O.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Anthropometric measures of adiposity as correlates of atherogenic index of plasma in non-obese sedentary Nigerian males</atitle><jtitle>Libyan journal of medicine</jtitle><addtitle>Libyan J Med</addtitle><date>2014-01-01</date><risdate>2014</risdate><volume>9</volume><issue>1</issue><spage>23798</spage><epage>5</epage><pages>23798-5</pages><issn>1993-2820</issn><issn>1819-6357</issn><eissn>1819-6357</eissn><abstract>The increase in cardiovascular events has necessitated the identification of possible predictors that can help in predicting atherogenicity.
The study sought to identify the anthropometric measures of adiposity that are associated with atherogenic risk in sedentary, non-obese, young male adults.
A cross-sectional design was used to recruit a purposive sample of 414 sedentary males in a university campus. Anthropometric measures of adiposity, lipid parameters, and atherogenic index of plasma (AIP) were assessed. Pearson correlation and stepwise multiple regression were used to analyze the data collected. Alpha level was set at p<0.05.
There was a high risk of cardiovascular events (AIP=0.36±0.04 SD) among the participants. A significant correlation (p=0.000) was obtained between each of the anthropometric measures (except conicity index) and AIP. Body mass index, body adiposity index, and percent body fat were significant predictors accounting for 38.9, 3.1, and 2.2% of the variance due to AIP.
Sedentary status among young males is associated with high atherogenic risk in the presence of normal lipid and anthropometric parameters. Both central and general measures of adiposity predict less than half of the atherogenic risk in sedentary young males.</abstract><cop>United States</cop><pub>Taylor & Francis</pub><pmid>24702831</pmid><doi>10.3402/ljm.v9.23798</doi><tpages>5</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Abdomen Adipose Tissue adiposity Adiposity - ethnology Adolescent Adult anthropometric atherogenicity Atherosclerosis - epidemiology Atherosclerosis - ethnology Atherosclerosis - prevention & control Body Composition Body Mass Index Cardiovascular disease Clinical medicine College campuses Cross-Sectional Studies Diabetes Disease prevention Exercise Health sciences Humans Lipids Male Males Metabolic disorders Nigeria - epidemiology Obesity Original Plasma Population Predictive Value of Tests predictors Risk Assessment Risk Factors Sampling Studies sedentary Sedentary Behavior Sports medicine Studies University students |
title | Anthropometric measures of adiposity as correlates of atherogenic index of plasma in non-obese sedentary Nigerian males |
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