Relationship between vitamin D and body fat distribution evaluated by DXA in postmenopausal women
Abstract Objective The aim of this study was to explore the relationship between 25-hydroxyvitamin D (25[OH]D) serum concentrations and body fat distribution in a sample of postmenopausal women. Methods We enrolled sixty-two postmenopausal women; 25(OH)D serum concentrations, serum intact parathyroi...
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Veröffentlicht in: | Nutrition (Burbank, Los Angeles County, Calif.) Los Angeles County, Calif.), 2016-06, Vol.32 (6), p.687-692 |
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description | Abstract Objective The aim of this study was to explore the relationship between 25-hydroxyvitamin D (25[OH]D) serum concentrations and body fat distribution in a sample of postmenopausal women. Methods We enrolled sixty-two postmenopausal women; 25(OH)D serum concentrations, serum intact parathyroid hormone, blood analyses, and anthropometric measurements were carried out. Body fat composition was evaluated by dual-energy X-ray absorptiometry. Insulin resistance was estimated by homeostatic model assessment of insulin resistance (HOMA-IR) calculation. Results Low levels of vitamin D ( |
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Methods We enrolled sixty-two postmenopausal women; 25(OH)D serum concentrations, serum intact parathyroid hormone, blood analyses, and anthropometric measurements were carried out. Body fat composition was evaluated by dual-energy X-ray absorptiometry. Insulin resistance was estimated by homeostatic model assessment of insulin resistance (HOMA-IR) calculation. Results Low levels of vitamin D (<30 ng/mL) were found in 77.4% of the population studied. There was a correlation ( P < 0.0001) between 25(OH)D and waist circumference (r = −0.543), android fat to gynoid fat (A/G) ratio (r = −0.554), high-density lipoprotein cholesterol (r = 0.498), and HOMA-IR (r = −0.520). A/G fat ratio (B = −34.90; 95% confidence interval [−55.30, −14.1]; P = 0.019), HOMA-IR (B = −3.17; 95% confidence interval [−5.99, −0.351]; P = 0.028), and high-density lipoprotein cholesterol (B = 0.361; 95% confidence interval [0.033, 0.698]; P = 0.032), were found to be independent predictors of lower 25(OH)D by multilogistic regression analysis. Except for waist circumference, both these results were maintained when correlations were adjusted for age, onset of menopause, serum intact parathyroid hormone, and medications, and when body mass index was added as covariate. Conclusions Vitamin D deficiency and insufficiency are common conditions. A/G ratio appeared to be associated with 25(OH)D concentrations and it is well-known that the android disposition of body fat is more closely associated with the onset of metabolic syndrome. Longitudinal studies are needed to better characterize the direction and the causal links of this association.</description><identifier>ISSN: 0899-9007</identifier><identifier>EISSN: 1873-1244</identifier><identifier>DOI: 10.1016/j.nut.2015.12.029</identifier><identifier>PMID: 26856648</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Absorptiometry, Photon - statistics & numerical data ; Body fat ; Body fat distribution ; Body Fat Distribution - statistics & numerical data ; Body mass index ; Cholesterol ; Female ; Gastroenterology and Hepatology ; Humans ; Insulin Resistance ; Lipoproteins, HDL - biosynthesis ; Longitudinal studies ; Metabolic disorders ; Metabolic syndrome ; Middle Aged ; Postmenopausal women ; Postmenopause - blood ; Regression analysis ; Vitamin D ; Vitamin D - analogs & derivatives ; Vitamin D - blood ; Vitamin D Deficiency - blood ; Vitamin deficiency</subject><ispartof>Nutrition (Burbank, Los Angeles County, Calif.), 2016-06, Vol.32 (6), p.687-692</ispartof><rights>Elsevier Inc.</rights><rights>2016 Elsevier Inc.</rights><rights>Copyright © 2016 Elsevier Inc. All rights reserved.</rights><rights>Copyright Elsevier Limited Jun 2016</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c469t-117aa3937f0e2dd7f61bb84a55f668086b172d85ddd72e9e8dcbb55d86a662583</citedby><cites>FETCH-LOGICAL-c469t-117aa3937f0e2dd7f61bb84a55f668086b172d85ddd72e9e8dcbb55d86a662583</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/1786694954?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,777,781,3537,27905,27906,45976,64364,64366,64368,72218</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26856648$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Andreozzi, Paola, MD</creatorcontrib><creatorcontrib>Verrusio, Walter, MD, PhD</creatorcontrib><creatorcontrib>Viscogliosi, Giovanni, MD</creatorcontrib><creatorcontrib>Summa, Maria Luna, MD</creatorcontrib><creatorcontrib>Gueli, Nicolò</creatorcontrib><creatorcontrib>Cacciafesta, Mauro</creatorcontrib><creatorcontrib>Albanese, Carlina V</creatorcontrib><title>Relationship between vitamin D and body fat distribution evaluated by DXA in postmenopausal women</title><title>Nutrition (Burbank, Los Angeles County, Calif.)</title><addtitle>Nutrition</addtitle><description>Abstract Objective The aim of this study was to explore the relationship between 25-hydroxyvitamin D (25[OH]D) serum concentrations and body fat distribution in a sample of postmenopausal women. Methods We enrolled sixty-two postmenopausal women; 25(OH)D serum concentrations, serum intact parathyroid hormone, blood analyses, and anthropometric measurements were carried out. Body fat composition was evaluated by dual-energy X-ray absorptiometry. Insulin resistance was estimated by homeostatic model assessment of insulin resistance (HOMA-IR) calculation. Results Low levels of vitamin D (<30 ng/mL) were found in 77.4% of the population studied. There was a correlation ( P < 0.0001) between 25(OH)D and waist circumference (r = −0.543), android fat to gynoid fat (A/G) ratio (r = −0.554), high-density lipoprotein cholesterol (r = 0.498), and HOMA-IR (r = −0.520). A/G fat ratio (B = −34.90; 95% confidence interval [−55.30, −14.1]; P = 0.019), HOMA-IR (B = −3.17; 95% confidence interval [−5.99, −0.351]; P = 0.028), and high-density lipoprotein cholesterol (B = 0.361; 95% confidence interval [0.033, 0.698]; P = 0.032), were found to be independent predictors of lower 25(OH)D by multilogistic regression analysis. Except for waist circumference, both these results were maintained when correlations were adjusted for age, onset of menopause, serum intact parathyroid hormone, and medications, and when body mass index was added as covariate. Conclusions Vitamin D deficiency and insufficiency are common conditions. A/G ratio appeared to be associated with 25(OH)D concentrations and it is well-known that the android disposition of body fat is more closely associated with the onset of metabolic syndrome. Longitudinal studies are needed to better characterize the direction and the causal links of this association.</description><subject>Absorptiometry, Photon - statistics & numerical data</subject><subject>Body fat</subject><subject>Body fat distribution</subject><subject>Body Fat Distribution - statistics & numerical data</subject><subject>Body mass index</subject><subject>Cholesterol</subject><subject>Female</subject><subject>Gastroenterology and Hepatology</subject><subject>Humans</subject><subject>Insulin Resistance</subject><subject>Lipoproteins, HDL - biosynthesis</subject><subject>Longitudinal studies</subject><subject>Metabolic disorders</subject><subject>Metabolic syndrome</subject><subject>Middle Aged</subject><subject>Postmenopausal women</subject><subject>Postmenopause - blood</subject><subject>Regression analysis</subject><subject>Vitamin D</subject><subject>Vitamin D - analogs & derivatives</subject><subject>Vitamin D - blood</subject><subject>Vitamin D Deficiency - blood</subject><subject>Vitamin deficiency</subject><issn>0899-9007</issn><issn>1873-1244</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqFkl2L1TAQhoMo7nH1B3gjAW-8ac2kTZogCMuuX7Ag-AHehbSZYo5tU5v0LOffm3JWhb3Qq2GY531h5h1CngIrgYF8uS-nNZWcgSiBl4zre2QHqqkK4HV9n-yY0rrQjDVn5FGMe8YYaKkfkjMulZCyVjtiP-Fgkw9T_O5n2mK6QZzowSc7-oleUTs52gZ3pL1N1PmYFt-uG0_xYIfVJszzI736dkEzP4eYRpzCbNdoB3oTcvOYPOjtEPHJbT0nX9---XL5vrj--O7D5cV10dVSpwKgsbbSVdMz5M41vYS2VbUVopdSMSVbaLhTwuUZR43KdW0rhFPSSsmFqs7Ji5PvvISfK8ZkRh87HAY7YVijAQWgtJKN_j_aKNEIYKzK6PM76D6sy5QX2Sgpda1FnSk4Ud0SYlywN_PiR7scDTCzRWX2JkdltqgMcJOjyppnt85rO6L7o_idTQZenQDMVzt4XEzsPE4dOr9gl4wL_p_2r--ou8FPvrPDDzxi_LuFiVlgPm-_sr0KCMYEl7z6BWEWuK8</recordid><startdate>20160601</startdate><enddate>20160601</enddate><creator>Andreozzi, Paola, MD</creator><creator>Verrusio, Walter, MD, PhD</creator><creator>Viscogliosi, Giovanni, MD</creator><creator>Summa, Maria Luna, MD</creator><creator>Gueli, Nicolò</creator><creator>Cacciafesta, Mauro</creator><creator>Albanese, Carlina V</creator><general>Elsevier Inc</general><general>Elsevier Limited</general><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>7RQ</scope><scope>7RV</scope><scope>7TS</scope><scope>7U7</scope><scope>7X7</scope><scope>7XB</scope><scope>88C</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AN0</scope><scope>ASE</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FPQ</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>K6X</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M0T</scope><scope>M1P</scope><scope>M2O</scope><scope>M7P</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope></search><sort><creationdate>20160601</creationdate><title>Relationship between vitamin D and body fat distribution evaluated by DXA in postmenopausal women</title><author>Andreozzi, Paola, MD ; Verrusio, Walter, MD, PhD ; Viscogliosi, Giovanni, MD ; Summa, Maria Luna, MD ; Gueli, Nicolò ; Cacciafesta, Mauro ; Albanese, Carlina V</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c469t-117aa3937f0e2dd7f61bb84a55f668086b172d85ddd72e9e8dcbb55d86a662583</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Absorptiometry, Photon - statistics & numerical data</topic><topic>Body fat</topic><topic>Body fat distribution</topic><topic>Body Fat Distribution - statistics & numerical data</topic><topic>Body mass index</topic><topic>Cholesterol</topic><topic>Female</topic><topic>Gastroenterology and Hepatology</topic><topic>Humans</topic><topic>Insulin Resistance</topic><topic>Lipoproteins, HDL - biosynthesis</topic><topic>Longitudinal studies</topic><topic>Metabolic disorders</topic><topic>Metabolic syndrome</topic><topic>Middle Aged</topic><topic>Postmenopausal women</topic><topic>Postmenopause - blood</topic><topic>Regression analysis</topic><topic>Vitamin D</topic><topic>Vitamin D - analogs & derivatives</topic><topic>Vitamin D - blood</topic><topic>Vitamin D Deficiency - blood</topic><topic>Vitamin deficiency</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Andreozzi, Paola, MD</creatorcontrib><creatorcontrib>Verrusio, Walter, MD, PhD</creatorcontrib><creatorcontrib>Viscogliosi, Giovanni, MD</creatorcontrib><creatorcontrib>Summa, Maria Luna, MD</creatorcontrib><creatorcontrib>Gueli, Nicolò</creatorcontrib><creatorcontrib>Cacciafesta, Mauro</creatorcontrib><creatorcontrib>Albanese, Carlina V</creatorcontrib><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>Career & Technical Education Database</collection><collection>Nursing & Allied Health Database</collection><collection>Physical Education Index</collection><collection>Toxicology Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Healthcare Administration Database (Alumni)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>ProQuest SciTech 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>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>British Nursing Database</collection><collection>British Nursing Index</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>British Nursing Index (BNI) (1985 to Present)</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>British Nursing Index</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Healthcare Administration Database</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Biological Science Database</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</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 Basic</collection><collection>MEDLINE - Academic</collection><jtitle>Nutrition (Burbank, Los Angeles County, Calif.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Andreozzi, Paola, MD</au><au>Verrusio, Walter, MD, PhD</au><au>Viscogliosi, Giovanni, MD</au><au>Summa, Maria Luna, MD</au><au>Gueli, Nicolò</au><au>Cacciafesta, Mauro</au><au>Albanese, Carlina V</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Relationship between vitamin D and body fat distribution evaluated by DXA in postmenopausal women</atitle><jtitle>Nutrition (Burbank, Los Angeles County, Calif.)</jtitle><addtitle>Nutrition</addtitle><date>2016-06-01</date><risdate>2016</risdate><volume>32</volume><issue>6</issue><spage>687</spage><epage>692</epage><pages>687-692</pages><issn>0899-9007</issn><eissn>1873-1244</eissn><abstract>Abstract Objective The aim of this study was to explore the relationship between 25-hydroxyvitamin D (25[OH]D) serum concentrations and body fat distribution in a sample of postmenopausal women. Methods We enrolled sixty-two postmenopausal women; 25(OH)D serum concentrations, serum intact parathyroid hormone, blood analyses, and anthropometric measurements were carried out. Body fat composition was evaluated by dual-energy X-ray absorptiometry. Insulin resistance was estimated by homeostatic model assessment of insulin resistance (HOMA-IR) calculation. Results Low levels of vitamin D (<30 ng/mL) were found in 77.4% of the population studied. There was a correlation ( P < 0.0001) between 25(OH)D and waist circumference (r = −0.543), android fat to gynoid fat (A/G) ratio (r = −0.554), high-density lipoprotein cholesterol (r = 0.498), and HOMA-IR (r = −0.520). A/G fat ratio (B = −34.90; 95% confidence interval [−55.30, −14.1]; P = 0.019), HOMA-IR (B = −3.17; 95% confidence interval [−5.99, −0.351]; P = 0.028), and high-density lipoprotein cholesterol (B = 0.361; 95% confidence interval [0.033, 0.698]; P = 0.032), were found to be independent predictors of lower 25(OH)D by multilogistic regression analysis. Except for waist circumference, both these results were maintained when correlations were adjusted for age, onset of menopause, serum intact parathyroid hormone, and medications, and when body mass index was added as covariate. Conclusions Vitamin D deficiency and insufficiency are common conditions. A/G ratio appeared to be associated with 25(OH)D concentrations and it is well-known that the android disposition of body fat is more closely associated with the onset of metabolic syndrome. Longitudinal studies are needed to better characterize the direction and the causal links of this association.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>26856648</pmid><doi>10.1016/j.nut.2015.12.029</doi><tpages>6</tpages></addata></record> |
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subjects | Absorptiometry, Photon - statistics & numerical data Body fat Body fat distribution Body Fat Distribution - statistics & numerical data Body mass index Cholesterol Female Gastroenterology and Hepatology Humans Insulin Resistance Lipoproteins, HDL - biosynthesis Longitudinal studies Metabolic disorders Metabolic syndrome Middle Aged Postmenopausal women Postmenopause - blood Regression analysis Vitamin D Vitamin D - analogs & derivatives Vitamin D - blood Vitamin D Deficiency - blood Vitamin deficiency |
title | Relationship between vitamin D and body fat distribution evaluated by DXA in postmenopausal women |
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