Association of Visceral Fat Area with Chronic Kidney Disease and Metabolic Syndrome Risk in the General Population: Analysis Using Multi-Frequency Bioimpedance
Background/Aims: Advances in bioimpedance analysis (BIA) technologies now enable visceral fat area (VFA) to be assessed using this method. The aim of this study was to evaluate the clinical relevance and usefulness of VFA as a predictor of chronic kidney disease (CKD) and metabolic syndrome (MS), us...
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| Veröffentlicht in: | Kidney & blood pressure research 2015-01, Vol.40 (3), p.223-230 |
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| creator | Kang, Seok Hui Cho, Kyu Hyang Park, Jong Won Yoon, Kyung Woo Do, Jun Young |
| description | Background/Aims: Advances in bioimpedance analysis (BIA) technologies now enable visceral fat area (VFA) to be assessed using this method. The aim of this study was to evaluate the clinical relevance and usefulness of VFA as a predictor of chronic kidney disease (CKD) and metabolic syndrome (MS), using BIA. Methods: We identified 24,791 adults who underwent voluntary routine health checkups at Yeungnam University Hospital. In total 22,480 patients were recruited into our study. Participants were divided into 3 tertiles based on their VFA: low, middle, and high tertiles. CKD was defined as an estimated glomerular filtration rate (eGFR) |
| doi_str_mv | 10.1159/000368498 |
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The aim of this study was to evaluate the clinical relevance and usefulness of VFA as a predictor of chronic kidney disease (CKD) and metabolic syndrome (MS), using BIA. Methods: We identified 24,791 adults who underwent voluntary routine health checkups at Yeungnam University Hospital. In total 22,480 patients were recruited into our study. Participants were divided into 3 tertiles based on their VFA: low, middle, and high tertiles. CKD was defined as an estimated glomerular filtration rate (eGFR) <60 mL/min/1.73m 2 . Results: The higher tertile of VFA was associated with a higher prevalence of diabetes mellitus, hypertension, and male sex. Waist-to-hip ratio, body mass index, blood pressure, lean mass, body fat %, and fasting glucose, total cholesterol, triglyceride, GGT, AST, ALT, and uric acid levels all increased as the VFA tertile increased (P < 0.001 for all variables). The prevalence of CKD was 6.9% in the low tertile, 13.9% in the middle tertile, and 25.2% in the high tertile (P < 0.001). The prevalence of MS was 2.2% in the low tertile, 12.8% in the middle tertile, and 36.7% in the high tertile (P < 0.001). The AUROC values for VFA were higher than those for BMI and WHR. For VFA, the sensitivity and specificity for predicting CKD were 62.66% (95% CI, 61.0-64.3) and 64.22% (95% CI, 63.5-64.9), respectively, and 77.65% (95% CI, 76.3-79.0), and 68.81% (95% CI, 68.1-69.5), respectively for predicting MS. Conclusion: Our results demonstrated that the VFA, measured by BIA, is a simple method for predicting the risk of CKD and MS.</description><identifier>ISSN: 1420-4096</identifier><identifier>EISSN: 1423-0143</identifier><identifier>DOI: 10.1159/000368498</identifier><identifier>PMID: 25966816</identifier><identifier>CODEN: RPBIEL</identifier><language>eng</language><publisher>Basel, Switzerland: S. Karger AG</publisher><subject>Adult ; Aged ; Bioimpedance analysis ; Blood Pressure ; Body Mass Index ; Chronic kidney disease ; Diabetes Mellitus, Type 2 - epidemiology ; Electric Impedance ; Female ; Glomerular Filtration Rate ; Humans ; Hypertension - epidemiology ; Hypertension - etiology ; Intra-Abdominal Fat - pathology ; Male ; Metabolic syndrome ; Metabolic Syndrome - pathology ; Middle Aged ; Original Paper ; Predictive Value of Tests ; Prevalence ; Renal Insufficiency, Chronic - epidemiology ; Renal Insufficiency, Chronic - pathology ; Republic of Korea - epidemiology ; Risk Assessment ; Visceral fat ; Waist-Hip Ratio</subject><ispartof>Kidney & blood pressure research, 2015-01, Vol.40 (3), p.223-230</ispartof><rights>2015 S. Karger AG, Basel</rights><rights>2015 S. Karger AG, Basel.</rights><rights>Copyright S. Karger AG Jun 2015</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c463t-f0201c0e8c1156bb19535bd1596e18f8d93a0ca04e070827767043d71ac71f5a3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,864,2100,27626,27915,27916</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25966816$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kang, Seok Hui</creatorcontrib><creatorcontrib>Cho, Kyu Hyang</creatorcontrib><creatorcontrib>Park, Jong Won</creatorcontrib><creatorcontrib>Yoon, Kyung Woo</creatorcontrib><creatorcontrib>Do, Jun Young</creatorcontrib><title>Association of Visceral Fat Area with Chronic Kidney Disease and Metabolic Syndrome Risk in the General Population: Analysis Using Multi-Frequency Bioimpedance</title><title>Kidney & blood pressure research</title><addtitle>Kidney Blood Press Res</addtitle><description>Background/Aims: Advances in bioimpedance analysis (BIA) technologies now enable visceral fat area (VFA) to be assessed using this method. The aim of this study was to evaluate the clinical relevance and usefulness of VFA as a predictor of chronic kidney disease (CKD) and metabolic syndrome (MS), using BIA. Methods: We identified 24,791 adults who underwent voluntary routine health checkups at Yeungnam University Hospital. In total 22,480 patients were recruited into our study. Participants were divided into 3 tertiles based on their VFA: low, middle, and high tertiles. CKD was defined as an estimated glomerular filtration rate (eGFR) <60 mL/min/1.73m 2 . Results: The higher tertile of VFA was associated with a higher prevalence of diabetes mellitus, hypertension, and male sex. Waist-to-hip ratio, body mass index, blood pressure, lean mass, body fat %, and fasting glucose, total cholesterol, triglyceride, GGT, AST, ALT, and uric acid levels all increased as the VFA tertile increased (P < 0.001 for all variables). The prevalence of CKD was 6.9% in the low tertile, 13.9% in the middle tertile, and 25.2% in the high tertile (P < 0.001). The prevalence of MS was 2.2% in the low tertile, 12.8% in the middle tertile, and 36.7% in the high tertile (P < 0.001). The AUROC values for VFA were higher than those for BMI and WHR. For VFA, the sensitivity and specificity for predicting CKD were 62.66% (95% CI, 61.0-64.3) and 64.22% (95% CI, 63.5-64.9), respectively, and 77.65% (95% CI, 76.3-79.0), and 68.81% (95% CI, 68.1-69.5), respectively for predicting MS. Conclusion: Our results demonstrated that the VFA, measured by BIA, is a simple method for predicting the risk of CKD and MS.</description><subject>Adult</subject><subject>Aged</subject><subject>Bioimpedance analysis</subject><subject>Blood Pressure</subject><subject>Body Mass Index</subject><subject>Chronic kidney disease</subject><subject>Diabetes Mellitus, Type 2 - epidemiology</subject><subject>Electric Impedance</subject><subject>Female</subject><subject>Glomerular Filtration Rate</subject><subject>Humans</subject><subject>Hypertension - epidemiology</subject><subject>Hypertension - etiology</subject><subject>Intra-Abdominal Fat - pathology</subject><subject>Male</subject><subject>Metabolic syndrome</subject><subject>Metabolic Syndrome - pathology</subject><subject>Middle Aged</subject><subject>Original Paper</subject><subject>Predictive Value of Tests</subject><subject>Prevalence</subject><subject>Renal Insufficiency, Chronic - epidemiology</subject><subject>Renal Insufficiency, Chronic - pathology</subject><subject>Republic of Korea - epidemiology</subject><subject>Risk Assessment</subject><subject>Visceral fat</subject><subject>Waist-Hip Ratio</subject><issn>1420-4096</issn><issn>1423-0143</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>M--</sourceid><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DOA</sourceid><recordid>eNptkk9v0zAYhyMEYn_gwB0hS1zgELDjxHG4dR0d0zaBBuMavbFft-5Su9iJUD8NXxWvLUVCnGzZj56f_bOz7AWj7xirmveUUi5k2chH2TErC55TVvLH2znNS9qIo-wkxmXCKkqLp9lRUTVCSCaOs1-TGL2yMFjviDfku40KA_RkBgOZBATy0w4LMl0E76wiV1Y73JBzGxEiEnCa3OAAne_T5teN08GvkNzaeE-sI8MCyQW6re-LX4_9NuYDmTjoN9FGchetm5ObsR9sPgv4Y0SnNuTMertaowan8Fn2xEAf8fl-PM3uZh-_TT_l158vLqeT61yVgg-5oQVliqJUqRDRdaypeNXpVI5AJo3UDQeqgJZIayqLuhY1LbmuGaiamQr4aXa582oPy3Yd7ArCpvVg2-2CD_MWwmBVjy00AIXRCk0pSillg1wazY2CoqllVybXm51rHXy6Uhza1UOrfQ8O_RhbJhpasEIUdUJf_4Mu_RhSPYmquaRMpIBEvd1RKvgYA5rDARltH35Ae_gBiX21N47dCvWB_PPkfyPvIcwxHICrs9udol1rk6iX_6X2Kb8B4iPANA</recordid><startdate>20150101</startdate><enddate>20150101</enddate><creator>Kang, Seok Hui</creator><creator>Cho, Kyu Hyang</creator><creator>Park, Jong Won</creator><creator>Yoon, Kyung Woo</creator><creator>Do, Jun Young</creator><general>S. Karger AG</general><general>Karger Publishers</general><scope>M--</scope><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>7QL</scope><scope>7T7</scope><scope>7U9</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FD</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>H94</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>S0X</scope><scope>7X8</scope><scope>DOA</scope></search><sort><creationdate>20150101</creationdate><title>Association of Visceral Fat Area with Chronic Kidney Disease and Metabolic Syndrome Risk in the General Population: Analysis Using Multi-Frequency Bioimpedance</title><author>Kang, Seok Hui ; Cho, Kyu Hyang ; Park, Jong Won ; Yoon, Kyung Woo ; Do, Jun Young</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c463t-f0201c0e8c1156bb19535bd1596e18f8d93a0ca04e070827767043d71ac71f5a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Bioimpedance analysis</topic><topic>Blood Pressure</topic><topic>Body Mass Index</topic><topic>Chronic kidney disease</topic><topic>Diabetes Mellitus, Type 2 - epidemiology</topic><topic>Electric Impedance</topic><topic>Female</topic><topic>Glomerular Filtration Rate</topic><topic>Humans</topic><topic>Hypertension - epidemiology</topic><topic>Hypertension - etiology</topic><topic>Intra-Abdominal Fat - pathology</topic><topic>Male</topic><topic>Metabolic syndrome</topic><topic>Metabolic Syndrome - pathology</topic><topic>Middle Aged</topic><topic>Original Paper</topic><topic>Predictive Value of Tests</topic><topic>Prevalence</topic><topic>Renal Insufficiency, Chronic - epidemiology</topic><topic>Renal Insufficiency, Chronic - pathology</topic><topic>Republic of Korea - epidemiology</topic><topic>Risk Assessment</topic><topic>Visceral fat</topic><topic>Waist-Hip Ratio</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kang, Seok Hui</creatorcontrib><creatorcontrib>Cho, Kyu Hyang</creatorcontrib><creatorcontrib>Park, Jong Won</creatorcontrib><creatorcontrib>Yoon, Kyung Woo</creatorcontrib><creatorcontrib>Do, Jun Young</creatorcontrib><collection>Karger Open Access Journals</collection><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>Bacteriology Abstracts (Microbiology B)</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Virology and AIDS Abstracts</collection><collection>ProQuest Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</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>SIRS Editorial</collection><collection>MEDLINE - Academic</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Kidney & blood pressure research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kang, Seok Hui</au><au>Cho, Kyu Hyang</au><au>Park, Jong Won</au><au>Yoon, Kyung Woo</au><au>Do, Jun Young</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Association of Visceral Fat Area with Chronic Kidney Disease and Metabolic Syndrome Risk in the General Population: Analysis Using Multi-Frequency Bioimpedance</atitle><jtitle>Kidney & blood pressure research</jtitle><addtitle>Kidney Blood Press Res</addtitle><date>2015-01-01</date><risdate>2015</risdate><volume>40</volume><issue>3</issue><spage>223</spage><epage>230</epage><pages>223-230</pages><issn>1420-4096</issn><eissn>1423-0143</eissn><coden>RPBIEL</coden><abstract>Background/Aims: Advances in bioimpedance analysis (BIA) technologies now enable visceral fat area (VFA) to be assessed using this method. The aim of this study was to evaluate the clinical relevance and usefulness of VFA as a predictor of chronic kidney disease (CKD) and metabolic syndrome (MS), using BIA. Methods: We identified 24,791 adults who underwent voluntary routine health checkups at Yeungnam University Hospital. In total 22,480 patients were recruited into our study. Participants were divided into 3 tertiles based on their VFA: low, middle, and high tertiles. CKD was defined as an estimated glomerular filtration rate (eGFR) <60 mL/min/1.73m 2 . Results: The higher tertile of VFA was associated with a higher prevalence of diabetes mellitus, hypertension, and male sex. Waist-to-hip ratio, body mass index, blood pressure, lean mass, body fat %, and fasting glucose, total cholesterol, triglyceride, GGT, AST, ALT, and uric acid levels all increased as the VFA tertile increased (P < 0.001 for all variables). The prevalence of CKD was 6.9% in the low tertile, 13.9% in the middle tertile, and 25.2% in the high tertile (P < 0.001). The prevalence of MS was 2.2% in the low tertile, 12.8% in the middle tertile, and 36.7% in the high tertile (P < 0.001). The AUROC values for VFA were higher than those for BMI and WHR. For VFA, the sensitivity and specificity for predicting CKD were 62.66% (95% CI, 61.0-64.3) and 64.22% (95% CI, 63.5-64.9), respectively, and 77.65% (95% CI, 76.3-79.0), and 68.81% (95% CI, 68.1-69.5), respectively for predicting MS. Conclusion: Our results demonstrated that the VFA, measured by BIA, is a simple method for predicting the risk of CKD and MS.</abstract><cop>Basel, Switzerland</cop><pub>S. Karger AG</pub><pmid>25966816</pmid><doi>10.1159/000368498</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Adult Aged Bioimpedance analysis Blood Pressure Body Mass Index Chronic kidney disease Diabetes Mellitus, Type 2 - epidemiology Electric Impedance Female Glomerular Filtration Rate Humans Hypertension - epidemiology Hypertension - etiology Intra-Abdominal Fat - pathology Male Metabolic syndrome Metabolic Syndrome - pathology Middle Aged Original Paper Predictive Value of Tests Prevalence Renal Insufficiency, Chronic - epidemiology Renal Insufficiency, Chronic - pathology Republic of Korea - epidemiology Risk Assessment Visceral fat Waist-Hip Ratio |
| title | Association of Visceral Fat Area with Chronic Kidney Disease and Metabolic Syndrome Risk in the General Population: Analysis Using Multi-Frequency Bioimpedance |
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