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Association of Anthropometric Indices With Metabolic Phenotypes of Obesity in Children and Adolescents: The CASPIAN-V Study
Obesity, particularly in the upper part of the body, is a major health problem. Measuring the neck circumference (NC) and wrist circumference (WrC) is a relatively new method of differentiating between normal and abnormal fat distributions. This study aimed to evaluate the association of NC, hip cir...
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Published in: | Frontiers in endocrinology (Lausanne) 2019-12, Vol.10, p.786-786 |
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creator | Payab, Moloud Qorbani, Mostafa Shahbal, Nazila Motlagh, Mohammad Esmaeil Hasani-Ranjbar, Shirin Zahedi, Hoda Shafiee, Gita Ziaodini, Hasan Pourmirzaiee, Mohammad Ali Heshmat, Ramin Kelishadi, Roya |
description | Obesity, particularly in the upper part of the body, is a major health problem. Measuring the neck circumference (NC) and wrist circumference (WrC) is a relatively new method of differentiating between normal and abnormal fat distributions. This study aimed to evaluate the association of NC, hip circumference (HC), and WrC with different phenotypes of obesity and their metabolic status.
In this multi-centric cross-sectional study, 4,200 students aged 7-18 years were selected from 30 provinces in Iran in 2014 by using a multistage cluster random sampling method. Metabolic syndrome (MetS) was defined based on the ATP III criteria modified for the pediatric age group. The subjects were classified into four groups according to their weight and metabolic status: metabolically healthy obese (MHO), metabolically non-healthy non-obese (MNHNO), metabolically non-healthy obese (MNHO), and metabolically healthy non-obese (MHNO).
Significant but different associations of NC, HC, and WrC with obesity phenotypes were documented in the entire population. Significant but different associations of NC, HC, and WrC with metabolic phenotypes were also found in the entire population. In the multinomial logistic regression, the association of the different obesity phenotypes with the study anthropometric indices increased significantly with increasing NC, WrC, and HC. Also, per one unit increment in NC, HC, and WrC, the odds of MHO, MNHNO, and MNHO increased compared to that of the MHNO phenotype.
In children and adolescents, HC, NC, and WrC are significantly associated with obesity phenotypes and their metabolic status, and these metrics are suggested to be innovative, low-cost, and alternative tools for assessing them in different age and sex pediatric age groups. |
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In this multi-centric cross-sectional study, 4,200 students aged 7-18 years were selected from 30 provinces in Iran in 2014 by using a multistage cluster random sampling method. Metabolic syndrome (MetS) was defined based on the ATP III criteria modified for the pediatric age group. The subjects were classified into four groups according to their weight and metabolic status: metabolically healthy obese (MHO), metabolically non-healthy non-obese (MNHNO), metabolically non-healthy obese (MNHO), and metabolically healthy non-obese (MHNO).
Significant but different associations of NC, HC, and WrC with obesity phenotypes were documented in the entire population. Significant but different associations of NC, HC, and WrC with metabolic phenotypes were also found in the entire population. In the multinomial logistic regression, the association of the different obesity phenotypes with the study anthropometric indices increased significantly with increasing NC, WrC, and HC. Also, per one unit increment in NC, HC, and WrC, the odds of MHO, MNHNO, and MNHO increased compared to that of the MHNO phenotype.
In children and adolescents, HC, NC, and WrC are significantly associated with obesity phenotypes and their metabolic status, and these metrics are suggested to be innovative, low-cost, and alternative tools for assessing them in different age and sex pediatric age groups.</description><identifier>ISSN: 1664-2392</identifier><identifier>EISSN: 1664-2392</identifier><identifier>DOI: 10.3389/fendo.2019.00786</identifier><identifier>PMID: 31849834</identifier><language>eng</language><publisher>Switzerland: Frontiers Media S.A</publisher><subject>abdominal obesity ; anthropometric indices ; Endocrinology ; general obesity ; metabolic syndrome ; obesity</subject><ispartof>Frontiers in endocrinology (Lausanne), 2019-12, Vol.10, p.786-786</ispartof><rights>Copyright © 2019 Payab, Qorbani, Shahbal, Motlagh, Hasani-Ranjbar, Zahedi, Shafiee, Ziaodini, Pourmirzaiee, Heshmat and Kelishadi.</rights><rights>Copyright © 2019 Payab, Qorbani, Shahbal, Motlagh, Hasani-Ranjbar, Zahedi, Shafiee, Ziaodini, Pourmirzaiee, Heshmat and Kelishadi. 2019 Payab, Qorbani, Shahbal, Motlagh, Hasani-Ranjbar, Zahedi, Shafiee, Ziaodini, Pourmirzaiee, Heshmat and Kelishadi</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c462t-31e288b41e99cdd8a3f08ea548bfd04d1dd7f77834a3b1bccf76f604ddcb8f453</citedby><cites>FETCH-LOGICAL-c462t-31e288b41e99cdd8a3f08ea548bfd04d1dd7f77834a3b1bccf76f604ddcb8f453</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/PMC6902658/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6902658/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31849834$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Payab, Moloud</creatorcontrib><creatorcontrib>Qorbani, Mostafa</creatorcontrib><creatorcontrib>Shahbal, Nazila</creatorcontrib><creatorcontrib>Motlagh, Mohammad Esmaeil</creatorcontrib><creatorcontrib>Hasani-Ranjbar, Shirin</creatorcontrib><creatorcontrib>Zahedi, Hoda</creatorcontrib><creatorcontrib>Shafiee, Gita</creatorcontrib><creatorcontrib>Ziaodini, Hasan</creatorcontrib><creatorcontrib>Pourmirzaiee, Mohammad Ali</creatorcontrib><creatorcontrib>Heshmat, Ramin</creatorcontrib><creatorcontrib>Kelishadi, Roya</creatorcontrib><title>Association of Anthropometric Indices With Metabolic Phenotypes of Obesity in Children and Adolescents: The CASPIAN-V Study</title><title>Frontiers in endocrinology (Lausanne)</title><addtitle>Front Endocrinol (Lausanne)</addtitle><description>Obesity, particularly in the upper part of the body, is a major health problem. Measuring the neck circumference (NC) and wrist circumference (WrC) is a relatively new method of differentiating between normal and abnormal fat distributions. This study aimed to evaluate the association of NC, hip circumference (HC), and WrC with different phenotypes of obesity and their metabolic status.
In this multi-centric cross-sectional study, 4,200 students aged 7-18 years were selected from 30 provinces in Iran in 2014 by using a multistage cluster random sampling method. Metabolic syndrome (MetS) was defined based on the ATP III criteria modified for the pediatric age group. The subjects were classified into four groups according to their weight and metabolic status: metabolically healthy obese (MHO), metabolically non-healthy non-obese (MNHNO), metabolically non-healthy obese (MNHO), and metabolically healthy non-obese (MHNO).
Significant but different associations of NC, HC, and WrC with obesity phenotypes were documented in the entire population. Significant but different associations of NC, HC, and WrC with metabolic phenotypes were also found in the entire population. In the multinomial logistic regression, the association of the different obesity phenotypes with the study anthropometric indices increased significantly with increasing NC, WrC, and HC. Also, per one unit increment in NC, HC, and WrC, the odds of MHO, MNHNO, and MNHO increased compared to that of the MHNO phenotype.
In children and adolescents, HC, NC, and WrC are significantly associated with obesity phenotypes and their metabolic status, and these metrics are suggested to be innovative, low-cost, and alternative tools for assessing them in different age and sex pediatric age groups.</description><subject>abdominal obesity</subject><subject>anthropometric indices</subject><subject>Endocrinology</subject><subject>general obesity</subject><subject>metabolic syndrome</subject><subject>obesity</subject><issn>1664-2392</issn><issn>1664-2392</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>DOA</sourceid><recordid>eNpVUk1vEzEQXSEQrUrvnJCPXBL8lV0vB6RVVCBSoZVa4Gj5Y9x1tbGD7SBF_HmcpFStffBo5s2z3_g1zVuC54yJ_oODYOOcYtLPMe5E-6I5JW3LZ5T19OWT-KQ5z_ke18UrthevmxNGBO8F46fN3yHnaLwqPgYUHRpCGVPcxDWU5A1aBesNZPTLlxF9g6J0nGr6eoQQy25TK7XnSkP2ZYd8QMvRTzZBQCpYNNg4QTYQSv6IbkdAy-HmejV8n_1EN2Vrd2-aV05NGc4fzrPmx-eL2-XX2eXVl9VyuJwZ3tIyYwSoEJoT6HtjrVDMYQFqwYV2FnNLrO1c11U5immijXFd69pasEYLxxfsrFkdeW1U93KT_FqlnYzKy0MipjupUvFmAtnpRd1cs65X3FEQqquzpgbAkh7ztnJ9OnJttnoNdi8uqekZ6fNK8KO8i39k22PaLkQleP9AkOLvLeQi177OaJpUgLjNkjJalQgiugrFR6hJMecE7vEaguXeAvJgAbm3gDxYoLa8e_q8x4b_H87-AVMtr8Y</recordid><startdate>20191203</startdate><enddate>20191203</enddate><creator>Payab, Moloud</creator><creator>Qorbani, Mostafa</creator><creator>Shahbal, Nazila</creator><creator>Motlagh, Mohammad Esmaeil</creator><creator>Hasani-Ranjbar, Shirin</creator><creator>Zahedi, Hoda</creator><creator>Shafiee, Gita</creator><creator>Ziaodini, Hasan</creator><creator>Pourmirzaiee, Mohammad Ali</creator><creator>Heshmat, Ramin</creator><creator>Kelishadi, Roya</creator><general>Frontiers Media S.A</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20191203</creationdate><title>Association of Anthropometric Indices With Metabolic Phenotypes of Obesity in Children and Adolescents: The CASPIAN-V Study</title><author>Payab, Moloud ; Qorbani, Mostafa ; Shahbal, Nazila ; Motlagh, Mohammad Esmaeil ; Hasani-Ranjbar, Shirin ; Zahedi, Hoda ; Shafiee, Gita ; Ziaodini, Hasan ; Pourmirzaiee, Mohammad Ali ; Heshmat, Ramin ; Kelishadi, Roya</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c462t-31e288b41e99cdd8a3f08ea548bfd04d1dd7f77834a3b1bccf76f604ddcb8f453</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>abdominal obesity</topic><topic>anthropometric indices</topic><topic>Endocrinology</topic><topic>general obesity</topic><topic>metabolic syndrome</topic><topic>obesity</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Payab, Moloud</creatorcontrib><creatorcontrib>Qorbani, Mostafa</creatorcontrib><creatorcontrib>Shahbal, Nazila</creatorcontrib><creatorcontrib>Motlagh, Mohammad Esmaeil</creatorcontrib><creatorcontrib>Hasani-Ranjbar, Shirin</creatorcontrib><creatorcontrib>Zahedi, Hoda</creatorcontrib><creatorcontrib>Shafiee, Gita</creatorcontrib><creatorcontrib>Ziaodini, Hasan</creatorcontrib><creatorcontrib>Pourmirzaiee, Mohammad Ali</creatorcontrib><creatorcontrib>Heshmat, Ramin</creatorcontrib><creatorcontrib>Kelishadi, Roya</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ: Directory of Open Access Journals</collection><jtitle>Frontiers in endocrinology (Lausanne)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Payab, Moloud</au><au>Qorbani, Mostafa</au><au>Shahbal, Nazila</au><au>Motlagh, Mohammad Esmaeil</au><au>Hasani-Ranjbar, Shirin</au><au>Zahedi, Hoda</au><au>Shafiee, Gita</au><au>Ziaodini, Hasan</au><au>Pourmirzaiee, Mohammad Ali</au><au>Heshmat, Ramin</au><au>Kelishadi, Roya</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Association of Anthropometric Indices With Metabolic Phenotypes of Obesity in Children and Adolescents: The CASPIAN-V Study</atitle><jtitle>Frontiers in endocrinology (Lausanne)</jtitle><addtitle>Front Endocrinol (Lausanne)</addtitle><date>2019-12-03</date><risdate>2019</risdate><volume>10</volume><spage>786</spage><epage>786</epage><pages>786-786</pages><issn>1664-2392</issn><eissn>1664-2392</eissn><abstract>Obesity, particularly in the upper part of the body, is a major health problem. Measuring the neck circumference (NC) and wrist circumference (WrC) is a relatively new method of differentiating between normal and abnormal fat distributions. This study aimed to evaluate the association of NC, hip circumference (HC), and WrC with different phenotypes of obesity and their metabolic status.
In this multi-centric cross-sectional study, 4,200 students aged 7-18 years were selected from 30 provinces in Iran in 2014 by using a multistage cluster random sampling method. Metabolic syndrome (MetS) was defined based on the ATP III criteria modified for the pediatric age group. The subjects were classified into four groups according to their weight and metabolic status: metabolically healthy obese (MHO), metabolically non-healthy non-obese (MNHNO), metabolically non-healthy obese (MNHO), and metabolically healthy non-obese (MHNO).
Significant but different associations of NC, HC, and WrC with obesity phenotypes were documented in the entire population. Significant but different associations of NC, HC, and WrC with metabolic phenotypes were also found in the entire population. In the multinomial logistic regression, the association of the different obesity phenotypes with the study anthropometric indices increased significantly with increasing NC, WrC, and HC. Also, per one unit increment in NC, HC, and WrC, the odds of MHO, MNHNO, and MNHO increased compared to that of the MHNO phenotype.
In children and adolescents, HC, NC, and WrC are significantly associated with obesity phenotypes and their metabolic status, and these metrics are suggested to be innovative, low-cost, and alternative tools for assessing them in different age and sex pediatric age groups.</abstract><cop>Switzerland</cop><pub>Frontiers Media S.A</pub><pmid>31849834</pmid><doi>10.3389/fendo.2019.00786</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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title | Association of Anthropometric Indices With Metabolic Phenotypes of Obesity in Children and Adolescents: The CASPIAN-V Study |
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