The association between a body shape index and cardiovascular risk in overweight and obese children and adolescents
A Body Shape Index (ABSI) and normalized hip circumference (Hip Index, HI) have been recently shown to be strong risk factors for mortality and for cardiovascular disease in adults. We conducted an observational cross-sectional study to evaluate the relationship between ABSI, HI and cardiometabolic...
Gespeichert in:
Veröffentlicht in: | PloS one 2018-01, Vol.13 (1), p.e0190426-e0190426 |
---|---|
Hauptverfasser: | , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | e0190426 |
---|---|
container_issue | 1 |
container_start_page | e0190426 |
container_title | PloS one |
container_volume | 13 |
creator | Mameli, Chiara Krakauer, Nir Y Krakauer, Jesse C Bosetti, Alessandra Ferrari, Chiara Matilde Moiana, Norma Schneider, Laura Borsani, Barbara Genoni, Teresa Zuccotti, Gianvincenzo |
description | A Body Shape Index (ABSI) and normalized hip circumference (Hip Index, HI) have been recently shown to be strong risk factors for mortality and for cardiovascular disease in adults. We conducted an observational cross-sectional study to evaluate the relationship between ABSI, HI and cardiometabolic risk factors and obesity-related comorbidities in overweight and obese children and adolescents aged 2-18 years. We performed multivariate linear and logistic regression analyses with BMI, ABSI, and HI age and sex normalized z scores as predictors to examine the association with cardiometabolic risk markers (systolic and diastolic blood pressure, fasting glucose and insulin, total cholesterol and its components, transaminases, fat mass % detected by bioelectrical impedance analysis) and obesity-related conditions (including hepatic steatosis and metabolic syndrome). We recruited 217 patients (114 males), mean age 11.3 years. Multivariate linear regression showed a significant association of ABSI z score with 10 out of 15 risk markers expressed as continuous variables, while BMI z score showed a significant correlation with 9 and HI only with 1. In multivariate logistic regression to predict occurrence of obesity-related conditions and above-threshold values of risk factors, BMI z score was significantly correlated to 7 out of 12, ABSI to 5, and HI to 1. Overall, ABSI is an independent anthropometric index that was significantly associated with cardiometabolic risk markers in a pediatric population affected by overweight and obesity. |
doi_str_mv | 10.1371/journal.pone.0190426 |
format | Article |
fullrecord | <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_2390621678</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A521235055</galeid><doaj_id>oai_doaj_org_article_33de38e1e4a84ac7825ab53be5ae359b</doaj_id><sourcerecordid>A521235055</sourcerecordid><originalsourceid>FETCH-LOGICAL-c692t-c3e5421d8099ff0a577f3fecdb7f6b2a854b5cf72a912c39aedf342b2c13a9273</originalsourceid><addsrcrecordid>eNqNk01v1DAQhiMEoqXwDxBEQkJw2MUfcRJfkKqKj5UqVYLC1ZrYk42XbLy1k23773G6abWLekA-2Jp55h3P2JMkrymZU17QTys3-A7a-cZ1OCdUkozlT5JjKjmb5Yzwp3vno-RFCCtCBC_z_HlyxCSTJc_IcRIuG0whBKct9NZ1aYX9NWKXQlo5c5uGBjaY2s7gTQqdSTV4Y90Wgh5a8Km34U_0pm6L_hrtsunvKFdhwFQ3tjV-1IomMK7FoLHrw8vkWQ1twFfTfpL8-vrl8uz77Pzi2-Ls9Hymc8n6meYoMkZNSaSsawKiKGpeozZVUecVg1JkldB1wUBSprkENDXPWMU05SBZwU-StzvdTeuCmvoVFOOS5IzmRRmJxY4wDlZq4-0a_K1yYNWdwfmlAt9b3aLi3CAvkWIGZQa6KJmASvAKBSAXsopan6dsQ7VGM1bqoT0QPfR0tlFLt1WiEIyw8TIfJgHvrgYMvVrb2LC2hQ7dEBSVZRZRwVlE3_2DPl7dRC0hFmC72sW8ehRVp4JRxgURIlLzR6i4DK6tjp-rttF-EPDxICAyPd70SxhCUIufP_6fvfh9yL7fYxuEtm-Ca4fxW4ZDMNuB2rsQPNYPTaZEjbNx3w01zoaaZiOGvdl_oIeg-2HgfwHKpQru</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2390621678</pqid></control><display><type>article</type><title>The association between a body shape index and cardiovascular risk in overweight and obese children and adolescents</title><source>DOAJ Directory of Open Access Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><source>Public Library of Science (PLoS)</source><creator>Mameli, Chiara ; Krakauer, Nir Y ; Krakauer, Jesse C ; Bosetti, Alessandra ; Ferrari, Chiara Matilde ; Moiana, Norma ; Schneider, Laura ; Borsani, Barbara ; Genoni, Teresa ; Zuccotti, Gianvincenzo</creator><creatorcontrib>Mameli, Chiara ; Krakauer, Nir Y ; Krakauer, Jesse C ; Bosetti, Alessandra ; Ferrari, Chiara Matilde ; Moiana, Norma ; Schneider, Laura ; Borsani, Barbara ; Genoni, Teresa ; Zuccotti, Gianvincenzo</creatorcontrib><description>A Body Shape Index (ABSI) and normalized hip circumference (Hip Index, HI) have been recently shown to be strong risk factors for mortality and for cardiovascular disease in adults. We conducted an observational cross-sectional study to evaluate the relationship between ABSI, HI and cardiometabolic risk factors and obesity-related comorbidities in overweight and obese children and adolescents aged 2-18 years. We performed multivariate linear and logistic regression analyses with BMI, ABSI, and HI age and sex normalized z scores as predictors to examine the association with cardiometabolic risk markers (systolic and diastolic blood pressure, fasting glucose and insulin, total cholesterol and its components, transaminases, fat mass % detected by bioelectrical impedance analysis) and obesity-related conditions (including hepatic steatosis and metabolic syndrome). We recruited 217 patients (114 males), mean age 11.3 years. Multivariate linear regression showed a significant association of ABSI z score with 10 out of 15 risk markers expressed as continuous variables, while BMI z score showed a significant correlation with 9 and HI only with 1. In multivariate logistic regression to predict occurrence of obesity-related conditions and above-threshold values of risk factors, BMI z score was significantly correlated to 7 out of 12, ABSI to 5, and HI to 1. Overall, ABSI is an independent anthropometric index that was significantly associated with cardiometabolic risk markers in a pediatric population affected by overweight and obesity.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0190426</identifier><identifier>PMID: 29298340</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adolescents ; Adults ; Age ; Anthropometry ; Bioelectricity ; Biology and Life Sciences ; Blood pressure ; Blood tests ; Body fat ; Body mass index ; Body measurements ; Body weight ; Cardiovascular diseases ; Children ; Children & youth ; Cholesterol ; Comorbidity ; Continuity (mathematics) ; Correlation analysis ; Diabetes ; Expected values ; Fasting ; Fatty liver ; Health aspects ; Health risks ; Hip ; Hospitals ; Hypertension ; Insulin ; Insulin resistance ; Laboratories ; Markers ; Medicine and Health Sciences ; Metabolic disorders ; Metabolic syndrome ; Metabolism ; Methods ; Mortality ; Multivariate analysis ; Obesity ; Overweight ; Overweight persons ; Patients ; Pediatrics ; People and Places ; Population ; Regression analysis ; Risk analysis ; Risk factors ; Steatosis ; Teenagers ; Transaminases ; Triglycerides ; Ultrasonic imaging</subject><ispartof>PloS one, 2018-01, Vol.13 (1), p.e0190426-e0190426</ispartof><rights>COPYRIGHT 2018 Public Library of Science</rights><rights>2018 Mameli et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2018 Mameli et al 2018 Mameli et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-c3e5421d8099ff0a577f3fecdb7f6b2a854b5cf72a912c39aedf342b2c13a9273</citedby><cites>FETCH-LOGICAL-c692t-c3e5421d8099ff0a577f3fecdb7f6b2a854b5cf72a912c39aedf342b2c13a9273</cites><orcidid>0000-0002-6768-3411</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5752028/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5752028/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79342,79343</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29298340$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Mameli, Chiara</creatorcontrib><creatorcontrib>Krakauer, Nir Y</creatorcontrib><creatorcontrib>Krakauer, Jesse C</creatorcontrib><creatorcontrib>Bosetti, Alessandra</creatorcontrib><creatorcontrib>Ferrari, Chiara Matilde</creatorcontrib><creatorcontrib>Moiana, Norma</creatorcontrib><creatorcontrib>Schneider, Laura</creatorcontrib><creatorcontrib>Borsani, Barbara</creatorcontrib><creatorcontrib>Genoni, Teresa</creatorcontrib><creatorcontrib>Zuccotti, Gianvincenzo</creatorcontrib><title>The association between a body shape index and cardiovascular risk in overweight and obese children and adolescents</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>A Body Shape Index (ABSI) and normalized hip circumference (Hip Index, HI) have been recently shown to be strong risk factors for mortality and for cardiovascular disease in adults. We conducted an observational cross-sectional study to evaluate the relationship between ABSI, HI and cardiometabolic risk factors and obesity-related comorbidities in overweight and obese children and adolescents aged 2-18 years. We performed multivariate linear and logistic regression analyses with BMI, ABSI, and HI age and sex normalized z scores as predictors to examine the association with cardiometabolic risk markers (systolic and diastolic blood pressure, fasting glucose and insulin, total cholesterol and its components, transaminases, fat mass % detected by bioelectrical impedance analysis) and obesity-related conditions (including hepatic steatosis and metabolic syndrome). We recruited 217 patients (114 males), mean age 11.3 years. Multivariate linear regression showed a significant association of ABSI z score with 10 out of 15 risk markers expressed as continuous variables, while BMI z score showed a significant correlation with 9 and HI only with 1. In multivariate logistic regression to predict occurrence of obesity-related conditions and above-threshold values of risk factors, BMI z score was significantly correlated to 7 out of 12, ABSI to 5, and HI to 1. Overall, ABSI is an independent anthropometric index that was significantly associated with cardiometabolic risk markers in a pediatric population affected by overweight and obesity.</description><subject>Adolescents</subject><subject>Adults</subject><subject>Age</subject><subject>Anthropometry</subject><subject>Bioelectricity</subject><subject>Biology and Life Sciences</subject><subject>Blood pressure</subject><subject>Blood tests</subject><subject>Body fat</subject><subject>Body mass index</subject><subject>Body measurements</subject><subject>Body weight</subject><subject>Cardiovascular diseases</subject><subject>Children</subject><subject>Children & youth</subject><subject>Cholesterol</subject><subject>Comorbidity</subject><subject>Continuity (mathematics)</subject><subject>Correlation analysis</subject><subject>Diabetes</subject><subject>Expected values</subject><subject>Fasting</subject><subject>Fatty liver</subject><subject>Health aspects</subject><subject>Health risks</subject><subject>Hip</subject><subject>Hospitals</subject><subject>Hypertension</subject><subject>Insulin</subject><subject>Insulin resistance</subject><subject>Laboratories</subject><subject>Markers</subject><subject>Medicine and Health Sciences</subject><subject>Metabolic disorders</subject><subject>Metabolic syndrome</subject><subject>Metabolism</subject><subject>Methods</subject><subject>Mortality</subject><subject>Multivariate analysis</subject><subject>Obesity</subject><subject>Overweight</subject><subject>Overweight persons</subject><subject>Patients</subject><subject>Pediatrics</subject><subject>People and Places</subject><subject>Population</subject><subject>Regression analysis</subject><subject>Risk analysis</subject><subject>Risk factors</subject><subject>Steatosis</subject><subject>Teenagers</subject><subject>Transaminases</subject><subject>Triglycerides</subject><subject>Ultrasonic imaging</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNqNk01v1DAQhiMEoqXwDxBEQkJw2MUfcRJfkKqKj5UqVYLC1ZrYk42XbLy1k23773G6abWLekA-2Jp55h3P2JMkrymZU17QTys3-A7a-cZ1OCdUkozlT5JjKjmb5Yzwp3vno-RFCCtCBC_z_HlyxCSTJc_IcRIuG0whBKct9NZ1aYX9NWKXQlo5c5uGBjaY2s7gTQqdSTV4Y90Wgh5a8Km34U_0pm6L_hrtsunvKFdhwFQ3tjV-1IomMK7FoLHrw8vkWQ1twFfTfpL8-vrl8uz77Pzi2-Ls9Hymc8n6meYoMkZNSaSsawKiKGpeozZVUecVg1JkldB1wUBSprkENDXPWMU05SBZwU-StzvdTeuCmvoVFOOS5IzmRRmJxY4wDlZq4-0a_K1yYNWdwfmlAt9b3aLi3CAvkWIGZQa6KJmASvAKBSAXsopan6dsQ7VGM1bqoT0QPfR0tlFLt1WiEIyw8TIfJgHvrgYMvVrb2LC2hQ7dEBSVZRZRwVlE3_2DPl7dRC0hFmC72sW8ehRVp4JRxgURIlLzR6i4DK6tjp-rttF-EPDxICAyPd70SxhCUIufP_6fvfh9yL7fYxuEtm-Ca4fxW4ZDMNuB2rsQPNYPTaZEjbNx3w01zoaaZiOGvdl_oIeg-2HgfwHKpQru</recordid><startdate>20180103</startdate><enddate>20180103</enddate><creator>Mameli, Chiara</creator><creator>Krakauer, Nir Y</creator><creator>Krakauer, Jesse C</creator><creator>Bosetti, Alessandra</creator><creator>Ferrari, Chiara Matilde</creator><creator>Moiana, Norma</creator><creator>Schneider, Laura</creator><creator>Borsani, Barbara</creator><creator>Genoni, Teresa</creator><creator>Zuccotti, Gianvincenzo</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-6768-3411</orcidid></search><sort><creationdate>20180103</creationdate><title>The association between a body shape index and cardiovascular risk in overweight and obese children and adolescents</title><author>Mameli, Chiara ; Krakauer, Nir Y ; Krakauer, Jesse C ; Bosetti, Alessandra ; Ferrari, Chiara Matilde ; Moiana, Norma ; Schneider, Laura ; Borsani, Barbara ; Genoni, Teresa ; Zuccotti, Gianvincenzo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-c3e5421d8099ff0a577f3fecdb7f6b2a854b5cf72a912c39aedf342b2c13a9273</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Adolescents</topic><topic>Adults</topic><topic>Age</topic><topic>Anthropometry</topic><topic>Bioelectricity</topic><topic>Biology and Life Sciences</topic><topic>Blood pressure</topic><topic>Blood tests</topic><topic>Body fat</topic><topic>Body mass index</topic><topic>Body measurements</topic><topic>Body weight</topic><topic>Cardiovascular diseases</topic><topic>Children</topic><topic>Children & youth</topic><topic>Cholesterol</topic><topic>Comorbidity</topic><topic>Continuity (mathematics)</topic><topic>Correlation analysis</topic><topic>Diabetes</topic><topic>Expected values</topic><topic>Fasting</topic><topic>Fatty liver</topic><topic>Health aspects</topic><topic>Health risks</topic><topic>Hip</topic><topic>Hospitals</topic><topic>Hypertension</topic><topic>Insulin</topic><topic>Insulin resistance</topic><topic>Laboratories</topic><topic>Markers</topic><topic>Medicine and Health Sciences</topic><topic>Metabolic disorders</topic><topic>Metabolic syndrome</topic><topic>Metabolism</topic><topic>Methods</topic><topic>Mortality</topic><topic>Multivariate analysis</topic><topic>Obesity</topic><topic>Overweight</topic><topic>Overweight persons</topic><topic>Patients</topic><topic>Pediatrics</topic><topic>People and Places</topic><topic>Population</topic><topic>Regression analysis</topic><topic>Risk analysis</topic><topic>Risk factors</topic><topic>Steatosis</topic><topic>Teenagers</topic><topic>Transaminases</topic><topic>Triglycerides</topic><topic>Ultrasonic imaging</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mameli, Chiara</creatorcontrib><creatorcontrib>Krakauer, Nir Y</creatorcontrib><creatorcontrib>Krakauer, Jesse C</creatorcontrib><creatorcontrib>Bosetti, Alessandra</creatorcontrib><creatorcontrib>Ferrari, Chiara Matilde</creatorcontrib><creatorcontrib>Moiana, Norma</creatorcontrib><creatorcontrib>Schneider, Laura</creatorcontrib><creatorcontrib>Borsani, Barbara</creatorcontrib><creatorcontrib>Genoni, Teresa</creatorcontrib><creatorcontrib>Zuccotti, Gianvincenzo</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology 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>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</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>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mameli, Chiara</au><au>Krakauer, Nir Y</au><au>Krakauer, Jesse C</au><au>Bosetti, Alessandra</au><au>Ferrari, Chiara Matilde</au><au>Moiana, Norma</au><au>Schneider, Laura</au><au>Borsani, Barbara</au><au>Genoni, Teresa</au><au>Zuccotti, Gianvincenzo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The association between a body shape index and cardiovascular risk in overweight and obese children and adolescents</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2018-01-03</date><risdate>2018</risdate><volume>13</volume><issue>1</issue><spage>e0190426</spage><epage>e0190426</epage><pages>e0190426-e0190426</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>A Body Shape Index (ABSI) and normalized hip circumference (Hip Index, HI) have been recently shown to be strong risk factors for mortality and for cardiovascular disease in adults. We conducted an observational cross-sectional study to evaluate the relationship between ABSI, HI and cardiometabolic risk factors and obesity-related comorbidities in overweight and obese children and adolescents aged 2-18 years. We performed multivariate linear and logistic regression analyses with BMI, ABSI, and HI age and sex normalized z scores as predictors to examine the association with cardiometabolic risk markers (systolic and diastolic blood pressure, fasting glucose and insulin, total cholesterol and its components, transaminases, fat mass % detected by bioelectrical impedance analysis) and obesity-related conditions (including hepatic steatosis and metabolic syndrome). We recruited 217 patients (114 males), mean age 11.3 years. Multivariate linear regression showed a significant association of ABSI z score with 10 out of 15 risk markers expressed as continuous variables, while BMI z score showed a significant correlation with 9 and HI only with 1. In multivariate logistic regression to predict occurrence of obesity-related conditions and above-threshold values of risk factors, BMI z score was significantly correlated to 7 out of 12, ABSI to 5, and HI to 1. Overall, ABSI is an independent anthropometric index that was significantly associated with cardiometabolic risk markers in a pediatric population affected by overweight and obesity.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>29298340</pmid><doi>10.1371/journal.pone.0190426</doi><tpages>e0190426</tpages><orcidid>https://orcid.org/0000-0002-6768-3411</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1932-6203 |
ispartof | PloS one, 2018-01, Vol.13 (1), p.e0190426-e0190426 |
issn | 1932-6203 1932-6203 |
language | eng |
recordid | cdi_plos_journals_2390621678 |
source | DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; Free Full-Text Journals in Chemistry; Public Library of Science (PLoS) |
subjects | Adolescents Adults Age Anthropometry Bioelectricity Biology and Life Sciences Blood pressure Blood tests Body fat Body mass index Body measurements Body weight Cardiovascular diseases Children Children & youth Cholesterol Comorbidity Continuity (mathematics) Correlation analysis Diabetes Expected values Fasting Fatty liver Health aspects Health risks Hip Hospitals Hypertension Insulin Insulin resistance Laboratories Markers Medicine and Health Sciences Metabolic disorders Metabolic syndrome Metabolism Methods Mortality Multivariate analysis Obesity Overweight Overweight persons Patients Pediatrics People and Places Population Regression analysis Risk analysis Risk factors Steatosis Teenagers Transaminases Triglycerides Ultrasonic imaging |
title | The association between a body shape index and cardiovascular risk in overweight and obese children and adolescents |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-12T16%3A31%3A20IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=The%20association%20between%20a%20body%20shape%20index%20and%20cardiovascular%20risk%20in%20overweight%20and%20obese%20children%20and%20adolescents&rft.jtitle=PloS%20one&rft.au=Mameli,%20Chiara&rft.date=2018-01-03&rft.volume=13&rft.issue=1&rft.spage=e0190426&rft.epage=e0190426&rft.pages=e0190426-e0190426&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0190426&rft_dat=%3Cgale_plos_%3EA521235055%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2390621678&rft_id=info:pmid/29298340&rft_galeid=A521235055&rft_doaj_id=oai_doaj_org_article_33de38e1e4a84ac7825ab53be5ae359b&rfr_iscdi=true |