The use of body circumferences for the prediction of intra-abdominal fat in obese women with polycystic ovary syndrome
Computerizd tomography (CT) is the gold standard for the evaluation of intra- (IAF) and total (TAF) abdominal fat; however, the high cost of the procedure and exposure to radiation limit its routine use. To develop equations that utilize anthropometric measures for the estimate of IAF and TAF in obe...
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| Veröffentlicht in: | Nutrición hospitalaria : organo oficial de la Sociedad Española de Nutrición Parenteral y Enteral 2012-09, Vol.27 (5), p.1662-1666 |
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| container_title | Nutrición hospitalaria : organo oficial de la Sociedad Española de Nutrición Parenteral y Enteral |
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| creator | Rodrigues de Oliveira Penaforte, F Cremonezi Japur, C Díez-García, R W Salles Macedo, C García Chiarello, P |
| description | Computerizd tomography (CT) is the gold standard for the evaluation of intra- (IAF) and total (TAF) abdominal fat; however, the high cost of the procedure and exposure to radiation limit its routine use.
To develop equations that utilize anthropometric measures for the estimate of IAF and TAF in obese women with polycystic ovary syndrome (PCOS).
The weight, height, BMI, and abdominal (AC), waist (WC), chest (CC), and neck (NC) circumferences of thirty obese women with PCOS were measured, and their IAF and TAF were analyzed by CT.
The anthropometric variables AC, CC, and NC were chosen for the TAF linear regression model because they were better correlated with the fat deposited in this region. The model proposed for TAF (predicted) was: 4.63725 + 0.01483 x AC - 0.00117 x NC - 0.00177 x CC (R² = 0.78); and the model proposed for IAF was: IAF (predicted) = 1.88541 + 0.01878 x WC + 0.05687 x NC -0.01529 x CC (R²=0.51). AC was the only independent predictor of TAF (p < 0.01).
The equations proposed showed good correlation with the real value measured by CT, and can be used in clinical practice. |
| doi_str_mv | 10.3305/nh.2012.27.5.5933 |
| format | Article |
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To develop equations that utilize anthropometric measures for the estimate of IAF and TAF in obese women with polycystic ovary syndrome (PCOS).
The weight, height, BMI, and abdominal (AC), waist (WC), chest (CC), and neck (NC) circumferences of thirty obese women with PCOS were measured, and their IAF and TAF were analyzed by CT.
The anthropometric variables AC, CC, and NC were chosen for the TAF linear regression model because they were better correlated with the fat deposited in this region. The model proposed for TAF (predicted) was: 4.63725 + 0.01483 x AC - 0.00117 x NC - 0.00177 x CC (R² = 0.78); and the model proposed for IAF was: IAF (predicted) = 1.88541 + 0.01878 x WC + 0.05687 x NC -0.01529 x CC (R²=0.51). AC was the only independent predictor of TAF (p < 0.01).
The equations proposed showed good correlation with the real value measured by CT, and can be used in clinical practice.</description><identifier>ISSN: 1699-5198</identifier><identifier>EISSN: 1699-5198</identifier><identifier>DOI: 10.3305/nh.2012.27.5.5933</identifier><identifier>PMID: 23478722</identifier><language>eng</language><publisher>Spain: Grupo Arán</publisher><subject>Adult ; Anthropometry ; Body Mass Index ; Body Weight - physiology ; Female ; Humans ; Intra-Abdominal Fat - pathology ; Neck - anatomy & histology ; Nutrition & Dietetics ; Obesity - diagnosis ; Obesity - etiology ; Obesity - pathology ; Polycystic Ovary Syndrome - complications ; Polycystic Ovary Syndrome - diagnosis ; Polycystic Ovary Syndrome - psychology ; Predictive Value of Tests ; Regression Analysis ; Thorax - anatomy & histology ; Tomography, X-Ray Computed ; Waist Circumference - physiology ; Young Adult</subject><ispartof>Nutrición hospitalaria : organo oficial de la Sociedad Española de Nutrición Parenteral y Enteral, 2012-09, Vol.27 (5), p.1662-1666</ispartof><rights>This work is licensed under a Creative Commons Attribution-NonCommercial 3.0 International License.</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c228t-48e7a63c99b254425d6d813eb7e80d3658acfcc41ac439a2d5edf7b79040ff873</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,860,881,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23478722$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Rodrigues de Oliveira Penaforte, F</creatorcontrib><creatorcontrib>Cremonezi Japur, C</creatorcontrib><creatorcontrib>Díez-García, R W</creatorcontrib><creatorcontrib>Salles Macedo, C</creatorcontrib><creatorcontrib>García Chiarello, P</creatorcontrib><title>The use of body circumferences for the prediction of intra-abdominal fat in obese women with polycystic ovary syndrome</title><title>Nutrición hospitalaria : organo oficial de la Sociedad Española de Nutrición Parenteral y Enteral</title><addtitle>Nutr Hosp</addtitle><description>Computerizd tomography (CT) is the gold standard for the evaluation of intra- (IAF) and total (TAF) abdominal fat; however, the high cost of the procedure and exposure to radiation limit its routine use.
To develop equations that utilize anthropometric measures for the estimate of IAF and TAF in obese women with polycystic ovary syndrome (PCOS).
The weight, height, BMI, and abdominal (AC), waist (WC), chest (CC), and neck (NC) circumferences of thirty obese women with PCOS were measured, and their IAF and TAF were analyzed by CT.
The anthropometric variables AC, CC, and NC were chosen for the TAF linear regression model because they were better correlated with the fat deposited in this region. The model proposed for TAF (predicted) was: 4.63725 + 0.01483 x AC - 0.00117 x NC - 0.00177 x CC (R² = 0.78); and the model proposed for IAF was: IAF (predicted) = 1.88541 + 0.01878 x WC + 0.05687 x NC -0.01529 x CC (R²=0.51). AC was the only independent predictor of TAF (p < 0.01).
The equations proposed showed good correlation with the real value measured by CT, and can be used in clinical practice.</description><subject>Adult</subject><subject>Anthropometry</subject><subject>Body Mass Index</subject><subject>Body Weight - physiology</subject><subject>Female</subject><subject>Humans</subject><subject>Intra-Abdominal Fat - pathology</subject><subject>Neck - anatomy & histology</subject><subject>Nutrition & Dietetics</subject><subject>Obesity - diagnosis</subject><subject>Obesity - etiology</subject><subject>Obesity - pathology</subject><subject>Polycystic Ovary Syndrome - complications</subject><subject>Polycystic Ovary Syndrome - diagnosis</subject><subject>Polycystic Ovary Syndrome - psychology</subject><subject>Predictive Value of Tests</subject><subject>Regression Analysis</subject><subject>Thorax - anatomy & histology</subject><subject>Tomography, X-Ray Computed</subject><subject>Waist Circumference - physiology</subject><subject>Young Adult</subject><issn>1699-5198</issn><issn>1699-5198</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpNkMtKxTAQhoMo3h_AjWTppjXXNlmKeAPBhbouaTLhRNrmmLRK396ICi6GGWa--Zn5ETqjpOacyMtpUzNCWc3aWtZSc76DDmmjdSWpVrv_6gN0lPMbIUwT1eyjA8ZFq1rGDtHHywbwkgFHj_voVmxDssvoIcFkIWMfE54Lsk3ggp1DnL7JMM3JVKZ3cQyTGbA3c-nh2ENR-owjTPgzzBu8jcNq1zwHi-OHSSvO6-RSmZ-gPW-GDKe_-Ri93t68XN9Xj093D9dXj5VlTM2VUNCahluteyaFYNI1TlEOfQuKON5IZay3VlBjBdeGOQnOt32riSDeq5Yfo_pHN9sAQ-ze4pLKwbl7JoyyjjaUfjtICJElhCgLFz8L2xTfF8hzN4ZsYRjMBHHJHeW04ar4KAt6_osu_Qiu26Ywlh-7P3P5F4KBe34</recordid><startdate>20120901</startdate><enddate>20120901</enddate><creator>Rodrigues de Oliveira Penaforte, F</creator><creator>Cremonezi Japur, C</creator><creator>Díez-García, R W</creator><creator>Salles Macedo, C</creator><creator>García Chiarello, P</creator><general>Grupo Arán</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>7X8</scope><scope>GPN</scope></search><sort><creationdate>20120901</creationdate><title>The use of body circumferences for the prediction of intra-abdominal fat in obese women with polycystic ovary syndrome</title><author>Rodrigues de Oliveira Penaforte, F ; Cremonezi Japur, C ; Díez-García, R W ; Salles Macedo, C ; García Chiarello, P</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c228t-48e7a63c99b254425d6d813eb7e80d3658acfcc41ac439a2d5edf7b79040ff873</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Adult</topic><topic>Anthropometry</topic><topic>Body Mass Index</topic><topic>Body Weight - physiology</topic><topic>Female</topic><topic>Humans</topic><topic>Intra-Abdominal Fat - pathology</topic><topic>Neck - anatomy & histology</topic><topic>Nutrition & Dietetics</topic><topic>Obesity - diagnosis</topic><topic>Obesity - etiology</topic><topic>Obesity - pathology</topic><topic>Polycystic Ovary Syndrome - complications</topic><topic>Polycystic Ovary Syndrome - diagnosis</topic><topic>Polycystic Ovary Syndrome - psychology</topic><topic>Predictive Value of Tests</topic><topic>Regression Analysis</topic><topic>Thorax - anatomy & histology</topic><topic>Tomography, X-Ray Computed</topic><topic>Waist Circumference - physiology</topic><topic>Young Adult</topic><toplevel>online_resources</toplevel><creatorcontrib>Rodrigues de Oliveira Penaforte, F</creatorcontrib><creatorcontrib>Cremonezi Japur, C</creatorcontrib><creatorcontrib>Díez-García, R W</creatorcontrib><creatorcontrib>Salles Macedo, C</creatorcontrib><creatorcontrib>García Chiarello, P</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>MEDLINE - Academic</collection><collection>SciELO</collection><jtitle>Nutrición hospitalaria : organo oficial de la Sociedad Española de Nutrición Parenteral y Enteral</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Rodrigues de Oliveira Penaforte, F</au><au>Cremonezi Japur, C</au><au>Díez-García, R W</au><au>Salles Macedo, C</au><au>García Chiarello, P</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The use of body circumferences for the prediction of intra-abdominal fat in obese women with polycystic ovary syndrome</atitle><jtitle>Nutrición hospitalaria : organo oficial de la Sociedad Española de Nutrición Parenteral y Enteral</jtitle><addtitle>Nutr Hosp</addtitle><date>2012-09-01</date><risdate>2012</risdate><volume>27</volume><issue>5</issue><spage>1662</spage><epage>1666</epage><pages>1662-1666</pages><issn>1699-5198</issn><eissn>1699-5198</eissn><abstract>Computerizd tomography (CT) is the gold standard for the evaluation of intra- (IAF) and total (TAF) abdominal fat; however, the high cost of the procedure and exposure to radiation limit its routine use.
To develop equations that utilize anthropometric measures for the estimate of IAF and TAF in obese women with polycystic ovary syndrome (PCOS).
The weight, height, BMI, and abdominal (AC), waist (WC), chest (CC), and neck (NC) circumferences of thirty obese women with PCOS were measured, and their IAF and TAF were analyzed by CT.
The anthropometric variables AC, CC, and NC were chosen for the TAF linear regression model because they were better correlated with the fat deposited in this region. The model proposed for TAF (predicted) was: 4.63725 + 0.01483 x AC - 0.00117 x NC - 0.00177 x CC (R² = 0.78); and the model proposed for IAF was: IAF (predicted) = 1.88541 + 0.01878 x WC + 0.05687 x NC -0.01529 x CC (R²=0.51). AC was the only independent predictor of TAF (p < 0.01).
The equations proposed showed good correlation with the real value measured by CT, and can be used in clinical practice.</abstract><cop>Spain</cop><pub>Grupo Arán</pub><pmid>23478722</pmid><doi>10.3305/nh.2012.27.5.5933</doi><tpages>5</tpages><oa>free_for_read</oa></addata></record> |
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| source | MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Alma/SFX Local Collection |
| subjects | Adult Anthropometry Body Mass Index Body Weight - physiology Female Humans Intra-Abdominal Fat - pathology Neck - anatomy & histology Nutrition & Dietetics Obesity - diagnosis Obesity - etiology Obesity - pathology Polycystic Ovary Syndrome - complications Polycystic Ovary Syndrome - diagnosis Polycystic Ovary Syndrome - psychology Predictive Value of Tests Regression Analysis Thorax - anatomy & histology Tomography, X-Ray Computed Waist Circumference - physiology Young Adult |
| title | The use of body circumferences for the prediction of intra-abdominal fat in obese women with polycystic ovary syndrome |
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