Obesity and body fat classification in the metabolic syndrome: Impact on cardiometabolic risk metabotype
Objective: Obesity is a key factor in the development of the metabolic syndrome (MetS), which is associated with increased cardiometabolic risk. We investigated whether obesity classification by BMI and body fat percentage (BF%) influences cardiometabolic profile and dietary responsiveness in 486 Me...
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Veröffentlicht in: | Obesity (Silver Spring, Md.) Md.), 2013-01, Vol.21 (1), p.E154-E161 |
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creator | Phillips, Catherine M. Tierney, Audrey C. Perez‐Martinez, Pablo Defoort, Catherine Blaak, Ellen E. Gjelstad, Ingrid M. F. Lopez‐Miranda, Jose Kiec‐Klimczak, Malgorzata Malczewska‐Malec, Malgorzata Drevon, Christian A. Hall, Wendy Lovegrove, Julie A. Karlstrom, Brita Risérus, Ulf Roche, Helen M. |
description | Objective:
Obesity is a key factor in the development of the metabolic syndrome (MetS), which is associated with increased cardiometabolic risk. We investigated whether obesity classification by BMI and body fat percentage (BF%) influences cardiometabolic profile and dietary responsiveness in 486 MetS subjects (LIPGENE dietary intervention study).
Design and Methods:
Anthropometric measures, markers of inflammation and glucose metabolism, lipid profiles, adhesion molecules, and hemostatic factors were determined at baseline and after 12 weeks of four dietary interventions (high saturated fat (SFA), high monounsaturated fat (MUFA), and two low fat high complex carbohydrate (LFHCC) diets, one supplemented with long chain n‐3 polyunsaturated fatty acids (LC n‐3 PUFAs)).
Results:
About 39 and 87% of subjects classified as normal and overweight by BMI were obese according to their BF%. Individuals classified as obese by BMI (≥30 kg/m2) and BF% (≥25% (men) and ≥35% (women)) (OO, n = 284) had larger waist and hip measurements, higher BMI and were heavier (P < 0.001) than those classified as nonobese by BMI but obese by BF% (NOO, n = 92). OO individuals displayed a more proinflammatory (higher C reactive protein (CRP) and leptin), prothrombotic (higher plasminogen activator inhibitor‐1 (PAI‐1)), proatherogenic (higher leptin/adiponectin ratio) and more insulin resistant (higher HOMA‐IR) metabolic profile relative to the NOO group (P < 0.001). Interestingly, tumor necrosis factor‐α (TNF‐α) concentrations were lower post‐intervention in NOO individuals compared with OO subjects (P < 0.001).
Conclusions:
In conclusion, assessing BF% and BMI as part of a metabotype may help to identify individuals at greater cardiometabolic risk than BMI alone. |
doi_str_mv | 10.1002/oby.20263 |
format | Article |
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Obesity is a key factor in the development of the metabolic syndrome (MetS), which is associated with increased cardiometabolic risk. We investigated whether obesity classification by BMI and body fat percentage (BF%) influences cardiometabolic profile and dietary responsiveness in 486 MetS subjects (LIPGENE dietary intervention study).
Design and Methods:
Anthropometric measures, markers of inflammation and glucose metabolism, lipid profiles, adhesion molecules, and hemostatic factors were determined at baseline and after 12 weeks of four dietary interventions (high saturated fat (SFA), high monounsaturated fat (MUFA), and two low fat high complex carbohydrate (LFHCC) diets, one supplemented with long chain n‐3 polyunsaturated fatty acids (LC n‐3 PUFAs)).
Results:
About 39 and 87% of subjects classified as normal and overweight by BMI were obese according to their BF%. Individuals classified as obese by BMI (≥30 kg/m2) and BF% (≥25% (men) and ≥35% (women)) (OO, n = 284) had larger waist and hip measurements, higher BMI and were heavier (P < 0.001) than those classified as nonobese by BMI but obese by BF% (NOO, n = 92). OO individuals displayed a more proinflammatory (higher C reactive protein (CRP) and leptin), prothrombotic (higher plasminogen activator inhibitor‐1 (PAI‐1)), proatherogenic (higher leptin/adiponectin ratio) and more insulin resistant (higher HOMA‐IR) metabolic profile relative to the NOO group (P < 0.001). Interestingly, tumor necrosis factor‐α (TNF‐α) concentrations were lower post‐intervention in NOO individuals compared with OO subjects (P < 0.001).
Conclusions:
In conclusion, assessing BF% and BMI as part of a metabotype may help to identify individuals at greater cardiometabolic risk than BMI alone.</description><identifier>ISSN: 1930-7381</identifier><identifier>EISSN: 1930-739X</identifier><identifier>DOI: 10.1002/oby.20263</identifier><identifier>PMID: 22739585</identifier><language>eng</language><publisher>Hoboken, USA: John Wiley & Sons, Inc</publisher><subject>Food and Nutrition ; Human health and pathology ; Life Sciences ; Santé publique et épidémiologie</subject><ispartof>Obesity (Silver Spring, Md.), 2013-01, Vol.21 (1), p.E154-E161</ispartof><rights>Copyright © 2012 The Obesity Society</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c2823-cc541bef8e31f2b410ff9de03fced006f5f9f4c41e81fb2539a5895f20fd18bf3</citedby><cites>FETCH-LOGICAL-c2823-cc541bef8e31f2b410ff9de03fced006f5f9f4c41e81fb2539a5895f20fd18bf3</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.20263$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Foby.20263$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>230,314,780,784,885,1417,1433,4024,27923,27924,27925,45574,45575,46409,46833</link.rule.ids><backlink>$$Uhttps://hal.inrae.fr/hal-02648080$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Phillips, Catherine M.</creatorcontrib><creatorcontrib>Tierney, Audrey C.</creatorcontrib><creatorcontrib>Perez‐Martinez, Pablo</creatorcontrib><creatorcontrib>Defoort, Catherine</creatorcontrib><creatorcontrib>Blaak, Ellen E.</creatorcontrib><creatorcontrib>Gjelstad, Ingrid M. F.</creatorcontrib><creatorcontrib>Lopez‐Miranda, Jose</creatorcontrib><creatorcontrib>Kiec‐Klimczak, Malgorzata</creatorcontrib><creatorcontrib>Malczewska‐Malec, Malgorzata</creatorcontrib><creatorcontrib>Drevon, Christian A.</creatorcontrib><creatorcontrib>Hall, Wendy</creatorcontrib><creatorcontrib>Lovegrove, Julie A.</creatorcontrib><creatorcontrib>Karlstrom, Brita</creatorcontrib><creatorcontrib>Risérus, Ulf</creatorcontrib><creatorcontrib>Roche, Helen M.</creatorcontrib><title>Obesity and body fat classification in the metabolic syndrome: Impact on cardiometabolic risk metabotype</title><title>Obesity (Silver Spring, Md.)</title><description>Objective:
Obesity is a key factor in the development of the metabolic syndrome (MetS), which is associated with increased cardiometabolic risk. We investigated whether obesity classification by BMI and body fat percentage (BF%) influences cardiometabolic profile and dietary responsiveness in 486 MetS subjects (LIPGENE dietary intervention study).
Design and Methods:
Anthropometric measures, markers of inflammation and glucose metabolism, lipid profiles, adhesion molecules, and hemostatic factors were determined at baseline and after 12 weeks of four dietary interventions (high saturated fat (SFA), high monounsaturated fat (MUFA), and two low fat high complex carbohydrate (LFHCC) diets, one supplemented with long chain n‐3 polyunsaturated fatty acids (LC n‐3 PUFAs)).
Results:
About 39 and 87% of subjects classified as normal and overweight by BMI were obese according to their BF%. Individuals classified as obese by BMI (≥30 kg/m2) and BF% (≥25% (men) and ≥35% (women)) (OO, n = 284) had larger waist and hip measurements, higher BMI and were heavier (P < 0.001) than those classified as nonobese by BMI but obese by BF% (NOO, n = 92). OO individuals displayed a more proinflammatory (higher C reactive protein (CRP) and leptin), prothrombotic (higher plasminogen activator inhibitor‐1 (PAI‐1)), proatherogenic (higher leptin/adiponectin ratio) and more insulin resistant (higher HOMA‐IR) metabolic profile relative to the NOO group (P < 0.001). Interestingly, tumor necrosis factor‐α (TNF‐α) concentrations were lower post‐intervention in NOO individuals compared with OO subjects (P < 0.001).
Conclusions:
In conclusion, assessing BF% and BMI as part of a metabotype may help to identify individuals at greater cardiometabolic risk than BMI alone.</description><subject>Food and Nutrition</subject><subject>Human health and pathology</subject><subject>Life Sciences</subject><subject>Santé publique et épidémiologie</subject><issn>1930-7381</issn><issn>1930-739X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><recordid>eNp10b1OwzAUBWALgSgUBt7AIwxp_RO3DlupgFaq1AUkmCzbsVVDEgc7BeXtSUnVTky-sr57hnsAuMFohBEiY6_aEUFkQk_ABc4oSqY0ezs9zBwPwGWMHwilE8TwORgQ0gnG2QXYrJWJrmmhrHKofN5CKxuoCxmjs07LxvkKugo2GwNL00jlC6dhbKs8-NLcw2VZS93ADmkZcuePJrj4uV9p2tpcgTMri2iu9-8QvD49vswXyWr9vJzPVokmnNBEa5ZiZSw3FFuiUoyszXKDqNUmR2himc1sqlNsOLaKMJpJxjNmCbI55srSIbjrczeyEHVwpQyt8NKJxWwldn_dnVKOOPrGnb3tbR3819bERpQualMUsjJ-GwWmeMrZlDJ6jNXBxxiMPWRjJHYliK4E8VdCZ8e9_XGFaf-HYv3w3m_8AqfHiB0</recordid><startdate>201301</startdate><enddate>201301</enddate><creator>Phillips, Catherine M.</creator><creator>Tierney, Audrey C.</creator><creator>Perez‐Martinez, Pablo</creator><creator>Defoort, Catherine</creator><creator>Blaak, Ellen E.</creator><creator>Gjelstad, Ingrid M. F.</creator><creator>Lopez‐Miranda, Jose</creator><creator>Kiec‐Klimczak, Malgorzata</creator><creator>Malczewska‐Malec, Malgorzata</creator><creator>Drevon, Christian A.</creator><creator>Hall, Wendy</creator><creator>Lovegrove, Julie A.</creator><creator>Karlstrom, Brita</creator><creator>Risérus, Ulf</creator><creator>Roche, Helen M.</creator><general>John Wiley & Sons, Inc</general><general>Wiley</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>1XC</scope></search><sort><creationdate>201301</creationdate><title>Obesity and body fat classification in the metabolic syndrome: Impact on cardiometabolic risk metabotype</title><author>Phillips, Catherine M. ; Tierney, Audrey C. ; Perez‐Martinez, Pablo ; Defoort, Catherine ; Blaak, Ellen E. ; Gjelstad, Ingrid M. F. ; Lopez‐Miranda, Jose ; Kiec‐Klimczak, Malgorzata ; Malczewska‐Malec, Malgorzata ; Drevon, Christian A. ; Hall, Wendy ; Lovegrove, Julie A. ; Karlstrom, Brita ; Risérus, Ulf ; Roche, Helen M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2823-cc541bef8e31f2b410ff9de03fced006f5f9f4c41e81fb2539a5895f20fd18bf3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Food and Nutrition</topic><topic>Human health and pathology</topic><topic>Life Sciences</topic><topic>Santé publique et épidémiologie</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Phillips, Catherine M.</creatorcontrib><creatorcontrib>Tierney, Audrey C.</creatorcontrib><creatorcontrib>Perez‐Martinez, Pablo</creatorcontrib><creatorcontrib>Defoort, Catherine</creatorcontrib><creatorcontrib>Blaak, Ellen E.</creatorcontrib><creatorcontrib>Gjelstad, Ingrid M. F.</creatorcontrib><creatorcontrib>Lopez‐Miranda, Jose</creatorcontrib><creatorcontrib>Kiec‐Klimczak, Malgorzata</creatorcontrib><creatorcontrib>Malczewska‐Malec, Malgorzata</creatorcontrib><creatorcontrib>Drevon, Christian A.</creatorcontrib><creatorcontrib>Hall, Wendy</creatorcontrib><creatorcontrib>Lovegrove, Julie A.</creatorcontrib><creatorcontrib>Karlstrom, Brita</creatorcontrib><creatorcontrib>Risérus, Ulf</creatorcontrib><creatorcontrib>Roche, Helen M.</creatorcontrib><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><jtitle>Obesity (Silver Spring, Md.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Phillips, Catherine M.</au><au>Tierney, Audrey C.</au><au>Perez‐Martinez, Pablo</au><au>Defoort, Catherine</au><au>Blaak, Ellen E.</au><au>Gjelstad, Ingrid M. F.</au><au>Lopez‐Miranda, Jose</au><au>Kiec‐Klimczak, Malgorzata</au><au>Malczewska‐Malec, Malgorzata</au><au>Drevon, Christian A.</au><au>Hall, Wendy</au><au>Lovegrove, Julie A.</au><au>Karlstrom, Brita</au><au>Risérus, Ulf</au><au>Roche, Helen M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Obesity and body fat classification in the metabolic syndrome: Impact on cardiometabolic risk metabotype</atitle><jtitle>Obesity (Silver Spring, Md.)</jtitle><date>2013-01</date><risdate>2013</risdate><volume>21</volume><issue>1</issue><spage>E154</spage><epage>E161</epage><pages>E154-E161</pages><issn>1930-7381</issn><eissn>1930-739X</eissn><abstract>Objective:
Obesity is a key factor in the development of the metabolic syndrome (MetS), which is associated with increased cardiometabolic risk. We investigated whether obesity classification by BMI and body fat percentage (BF%) influences cardiometabolic profile and dietary responsiveness in 486 MetS subjects (LIPGENE dietary intervention study).
Design and Methods:
Anthropometric measures, markers of inflammation and glucose metabolism, lipid profiles, adhesion molecules, and hemostatic factors were determined at baseline and after 12 weeks of four dietary interventions (high saturated fat (SFA), high monounsaturated fat (MUFA), and two low fat high complex carbohydrate (LFHCC) diets, one supplemented with long chain n‐3 polyunsaturated fatty acids (LC n‐3 PUFAs)).
Results:
About 39 and 87% of subjects classified as normal and overweight by BMI were obese according to their BF%. Individuals classified as obese by BMI (≥30 kg/m2) and BF% (≥25% (men) and ≥35% (women)) (OO, n = 284) had larger waist and hip measurements, higher BMI and were heavier (P < 0.001) than those classified as nonobese by BMI but obese by BF% (NOO, n = 92). OO individuals displayed a more proinflammatory (higher C reactive protein (CRP) and leptin), prothrombotic (higher plasminogen activator inhibitor‐1 (PAI‐1)), proatherogenic (higher leptin/adiponectin ratio) and more insulin resistant (higher HOMA‐IR) metabolic profile relative to the NOO group (P < 0.001). Interestingly, tumor necrosis factor‐α (TNF‐α) concentrations were lower post‐intervention in NOO individuals compared with OO subjects (P < 0.001).
Conclusions:
In conclusion, assessing BF% and BMI as part of a metabotype may help to identify individuals at greater cardiometabolic risk than BMI alone.</abstract><cop>Hoboken, USA</cop><pub>John Wiley & Sons, Inc</pub><pmid>22739585</pmid><doi>10.1002/oby.20263</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Food and Nutrition Human health and pathology Life Sciences Santé publique et épidémiologie |
title | Obesity and body fat classification in the metabolic syndrome: Impact on cardiometabolic risk metabotype |
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