Visceral adiposity index outperforms common anthropometric indices in predicting 10‐year diabetes risk: Results from the ATTICA study

Background Visceral adiposity index (VAI) is a novel marker of visceral adipose tissue accumulation and dysfunction. The study aim was to explore the association of VAI with the 10‐year type 2 diabetes mellitus (T2DM) incidence in apparently healthy individuals and compare its T2DM predictive abilit...

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Veröffentlicht in:Diabetes/metabolism research and reviews 2019-09, Vol.35 (6), p.e3161-n/a
Hauptverfasser: Koloverou, Efi, Panagiotakos, Demosthenes B., Kyrou, Ioannis, Stefanadis, Christodoulos, Chrysohoou, Christina, Georgousopoulou, Ekavi N., Skoumas, Ioannis, Tousoulis, Dimitrios, Pitsavos, Christos
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container_issue 6
container_start_page e3161
container_title Diabetes/metabolism research and reviews
container_volume 35
creator Koloverou, Efi
Panagiotakos, Demosthenes B.
Kyrou, Ioannis
Stefanadis, Christodoulos
Chrysohoou, Christina
Georgousopoulou, Ekavi N.
Skoumas, Ioannis
Tousoulis, Dimitrios
Pitsavos, Christos
description Background Visceral adiposity index (VAI) is a novel marker of visceral adipose tissue accumulation and dysfunction. The study aim was to explore the association of VAI with the 10‐year type 2 diabetes mellitus (T2DM) incidence in apparently healthy individuals and compare its T2DM predictive ability against common anthropometric indices. Methods In 2001 to 2002, the ATTICA study (Greece) recruited a random sample of 1514 and 1528 CVD‐free men (18‐87 years old) and women (18‐89 years old), respectively. Sociodemographic, lifestyle, clinical, and biochemical characteristics of participants were measured at baseline, and the 10‐year follow‐up was performed during 2011 to 2012. After excluding participants with diabetes at baseline and participants without complete follow‐up information regarding diabetes status and/or baseline VAI values, the working sample consisted of 1049 participants. In this sample, the predictive value of baseline VAI value was studied in relation to 10‐year diabetes incidence. Results One hundred thirty‐three incident cases of diabetes were documented (10‐year incidence: 12.7%). In the fully adjusted model, VAI significantly increased diabetes risk by 22% (OR per 1‐unit increase =1.22; 95%CI, 1.09‐1.37). Markers of oxidative stress and inflammation were found to, at least partly, mediate this relationship. Also, a moderating effect of menstruation status was revealed among women. VAI showed the highest predictive ability and contributed the most, along with waist‐to‐height ratio, to the correct classification of participants who developed diabetes. Conclusions The present findings suggest that VAI may be a useful index for predicting long‐term diabetes development and may exhibit better predictive ability to commonly used anthropometric indices.
doi_str_mv 10.1002/dmrr.3161
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The study aim was to explore the association of VAI with the 10‐year type 2 diabetes mellitus (T2DM) incidence in apparently healthy individuals and compare its T2DM predictive ability against common anthropometric indices. Methods In 2001 to 2002, the ATTICA study (Greece) recruited a random sample of 1514 and 1528 CVD‐free men (18‐87 years old) and women (18‐89 years old), respectively. Sociodemographic, lifestyle, clinical, and biochemical characteristics of participants were measured at baseline, and the 10‐year follow‐up was performed during 2011 to 2012. After excluding participants with diabetes at baseline and participants without complete follow‐up information regarding diabetes status and/or baseline VAI values, the working sample consisted of 1049 participants. In this sample, the predictive value of baseline VAI value was studied in relation to 10‐year diabetes incidence. Results One hundred thirty‐three incident cases of diabetes were documented (10‐year incidence: 12.7%). In the fully adjusted model, VAI significantly increased diabetes risk by 22% (OR per 1‐unit increase =1.22; 95%CI, 1.09‐1.37). Markers of oxidative stress and inflammation were found to, at least partly, mediate this relationship. Also, a moderating effect of menstruation status was revealed among women. VAI showed the highest predictive ability and contributed the most, along with waist‐to‐height ratio, to the correct classification of participants who developed diabetes. Conclusions The present findings suggest that VAI may be a useful index for predicting long‐term diabetes development and may exhibit better predictive ability to commonly used anthropometric indices.</description><identifier>ISSN: 1520-7552</identifier><identifier>EISSN: 1520-7560</identifier><identifier>DOI: 10.1002/dmrr.3161</identifier><identifier>PMID: 30912290</identifier><language>eng</language><publisher>England: Wiley Subscription Services, Inc</publisher><subject>Adipose tissue ; Adolescent ; Adult ; Aged ; Aged, 80 and over ; anthropometric indices ; Anthropometry ; Biochemical characteristics ; Body Mass Index ; Body measurements ; Diabetes ; Diabetes mellitus ; Diabetes mellitus (non-insulin dependent) ; Diabetes Mellitus, Type 2 - diagnosis ; Diabetes Mellitus, Type 2 - epidemiology ; Diabetes Mellitus, Type 2 - etiology ; Female ; Follow-Up Studies ; Greece - epidemiology ; Health risk assessment ; Humans ; Incidence ; Intra-Abdominal Fat - pathology ; Male ; Medical prognosis ; Menopause ; Menstruation ; Middle Aged ; Obesity, Abdominal - complications ; Oxidative stress ; Predictive Value of Tests ; prognostic markers ; Prospective Studies ; Risk Factors ; type 2 diabetes ; VAI ; visceral adiposity index ; Young Adult</subject><ispartof>Diabetes/metabolism research and reviews, 2019-09, Vol.35 (6), p.e3161-n/a</ispartof><rights>2019 John Wiley &amp; Sons, Ltd.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3881-c382338b8eacc4a5f692fe0124c7eab6fff8ba54dd5d2b9a1d2a44ba6d700a793</citedby><cites>FETCH-LOGICAL-c3881-c382338b8eacc4a5f692fe0124c7eab6fff8ba54dd5d2b9a1d2a44ba6d700a793</cites><orcidid>0000-0001-8583-153X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fdmrr.3161$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fdmrr.3161$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,777,781,1412,27905,27906,45555,45556</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30912290$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Koloverou, Efi</creatorcontrib><creatorcontrib>Panagiotakos, Demosthenes B.</creatorcontrib><creatorcontrib>Kyrou, Ioannis</creatorcontrib><creatorcontrib>Stefanadis, Christodoulos</creatorcontrib><creatorcontrib>Chrysohoou, Christina</creatorcontrib><creatorcontrib>Georgousopoulou, Ekavi N.</creatorcontrib><creatorcontrib>Skoumas, Ioannis</creatorcontrib><creatorcontrib>Tousoulis, Dimitrios</creatorcontrib><creatorcontrib>Pitsavos, Christos</creatorcontrib><creatorcontrib>ATTICA Study group</creatorcontrib><creatorcontrib>the ATTICA Study group</creatorcontrib><title>Visceral adiposity index outperforms common anthropometric indices in predicting 10‐year diabetes risk: Results from the ATTICA study</title><title>Diabetes/metabolism research and reviews</title><addtitle>Diabetes Metab Res Rev</addtitle><description>Background Visceral adiposity index (VAI) is a novel marker of visceral adipose tissue accumulation and dysfunction. The study aim was to explore the association of VAI with the 10‐year type 2 diabetes mellitus (T2DM) incidence in apparently healthy individuals and compare its T2DM predictive ability against common anthropometric indices. Methods In 2001 to 2002, the ATTICA study (Greece) recruited a random sample of 1514 and 1528 CVD‐free men (18‐87 years old) and women (18‐89 years old), respectively. Sociodemographic, lifestyle, clinical, and biochemical characteristics of participants were measured at baseline, and the 10‐year follow‐up was performed during 2011 to 2012. After excluding participants with diabetes at baseline and participants without complete follow‐up information regarding diabetes status and/or baseline VAI values, the working sample consisted of 1049 participants. In this sample, the predictive value of baseline VAI value was studied in relation to 10‐year diabetes incidence. Results One hundred thirty‐three incident cases of diabetes were documented (10‐year incidence: 12.7%). In the fully adjusted model, VAI significantly increased diabetes risk by 22% (OR per 1‐unit increase =1.22; 95%CI, 1.09‐1.37). Markers of oxidative stress and inflammation were found to, at least partly, mediate this relationship. Also, a moderating effect of menstruation status was revealed among women. VAI showed the highest predictive ability and contributed the most, along with waist‐to‐height ratio, to the correct classification of participants who developed diabetes. Conclusions The present findings suggest that VAI may be a useful index for predicting long‐term diabetes development and may exhibit better predictive ability to commonly used anthropometric indices.</description><subject>Adipose tissue</subject><subject>Adolescent</subject><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>anthropometric indices</subject><subject>Anthropometry</subject><subject>Biochemical characteristics</subject><subject>Body Mass Index</subject><subject>Body measurements</subject><subject>Diabetes</subject><subject>Diabetes mellitus</subject><subject>Diabetes mellitus (non-insulin dependent)</subject><subject>Diabetes Mellitus, Type 2 - diagnosis</subject><subject>Diabetes Mellitus, Type 2 - epidemiology</subject><subject>Diabetes Mellitus, Type 2 - etiology</subject><subject>Female</subject><subject>Follow-Up Studies</subject><subject>Greece - epidemiology</subject><subject>Health risk assessment</subject><subject>Humans</subject><subject>Incidence</subject><subject>Intra-Abdominal Fat - pathology</subject><subject>Male</subject><subject>Medical prognosis</subject><subject>Menopause</subject><subject>Menstruation</subject><subject>Middle Aged</subject><subject>Obesity, Abdominal - complications</subject><subject>Oxidative stress</subject><subject>Predictive Value of Tests</subject><subject>prognostic markers</subject><subject>Prospective Studies</subject><subject>Risk Factors</subject><subject>type 2 diabetes</subject><subject>VAI</subject><subject>visceral adiposity index</subject><subject>Young Adult</subject><issn>1520-7552</issn><issn>1520-7560</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp10btuFTEQBmALgUgIFLwAskQDxUl82ZvpooSbFIR0dKC1vPaYOKzXG9srsh0dLc_Ik-DlhBRINJ4pPv0a-UfoKSXHlBB2YnyMx5w29B46pDUjm7ZuyP27vWYH6FFKV4QQXjXVQ3TAiaCMCXKIfnx2SUNUA1bGTSG5vGA3GrjBYc4TRBuiT1gH78OI1ZgvY5iChxydXp3TkMrEU4SyZzd-wZT8-v5zARWxcaqHXEB06esrvIU0DzlhG4PH-RLw6W73_uwUpzyb5TF6YNWQ4MntPEKf3rzenb3bXHx8W9DFRvOuo-vLOO_6DpTWlaptI5gFQlmlW1B9Y63telVXxtSG9UJRw1RV9aoxLSGqFfwIvdjnTjFcz5Cy9OsHDIMaIcxJMirarhNEsEKf_0OvwhzHcp1krOOkrUXFi3q5VzqGlCJYOUXnVVwkJXJtR67tyLWdYp_dJs69B3Mn_9ZRwMkefHMDLP9Pkucftts_kb8BPjac_Q</recordid><startdate>201909</startdate><enddate>201909</enddate><creator>Koloverou, Efi</creator><creator>Panagiotakos, Demosthenes B.</creator><creator>Kyrou, Ioannis</creator><creator>Stefanadis, Christodoulos</creator><creator>Chrysohoou, Christina</creator><creator>Georgousopoulou, Ekavi N.</creator><creator>Skoumas, Ioannis</creator><creator>Tousoulis, Dimitrios</creator><creator>Pitsavos, Christos</creator><general>Wiley Subscription Services, Inc</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>7T5</scope><scope>7TK</scope><scope>H94</scope><scope>K9.</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-8583-153X</orcidid></search><sort><creationdate>201909</creationdate><title>Visceral adiposity index outperforms common anthropometric indices in predicting 10‐year diabetes risk: Results from the ATTICA study</title><author>Koloverou, Efi ; Panagiotakos, Demosthenes B. ; Kyrou, Ioannis ; Stefanadis, Christodoulos ; Chrysohoou, Christina ; Georgousopoulou, Ekavi N. ; Skoumas, Ioannis ; Tousoulis, Dimitrios ; Pitsavos, Christos</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3881-c382338b8eacc4a5f692fe0124c7eab6fff8ba54dd5d2b9a1d2a44ba6d700a793</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Adipose tissue</topic><topic>Adolescent</topic><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>anthropometric indices</topic><topic>Anthropometry</topic><topic>Biochemical characteristics</topic><topic>Body Mass Index</topic><topic>Body measurements</topic><topic>Diabetes</topic><topic>Diabetes mellitus</topic><topic>Diabetes mellitus (non-insulin dependent)</topic><topic>Diabetes Mellitus, Type 2 - diagnosis</topic><topic>Diabetes Mellitus, Type 2 - epidemiology</topic><topic>Diabetes Mellitus, Type 2 - etiology</topic><topic>Female</topic><topic>Follow-Up Studies</topic><topic>Greece - epidemiology</topic><topic>Health risk assessment</topic><topic>Humans</topic><topic>Incidence</topic><topic>Intra-Abdominal Fat - pathology</topic><topic>Male</topic><topic>Medical prognosis</topic><topic>Menopause</topic><topic>Menstruation</topic><topic>Middle Aged</topic><topic>Obesity, Abdominal - complications</topic><topic>Oxidative stress</topic><topic>Predictive Value of Tests</topic><topic>prognostic markers</topic><topic>Prospective Studies</topic><topic>Risk Factors</topic><topic>type 2 diabetes</topic><topic>VAI</topic><topic>visceral adiposity index</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Koloverou, Efi</creatorcontrib><creatorcontrib>Panagiotakos, Demosthenes B.</creatorcontrib><creatorcontrib>Kyrou, Ioannis</creatorcontrib><creatorcontrib>Stefanadis, Christodoulos</creatorcontrib><creatorcontrib>Chrysohoou, Christina</creatorcontrib><creatorcontrib>Georgousopoulou, Ekavi N.</creatorcontrib><creatorcontrib>Skoumas, Ioannis</creatorcontrib><creatorcontrib>Tousoulis, Dimitrios</creatorcontrib><creatorcontrib>Pitsavos, Christos</creatorcontrib><creatorcontrib>ATTICA Study group</creatorcontrib><creatorcontrib>the ATTICA Study group</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Immunology Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><jtitle>Diabetes/metabolism research and reviews</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Koloverou, Efi</au><au>Panagiotakos, Demosthenes B.</au><au>Kyrou, Ioannis</au><au>Stefanadis, Christodoulos</au><au>Chrysohoou, Christina</au><au>Georgousopoulou, Ekavi N.</au><au>Skoumas, Ioannis</au><au>Tousoulis, Dimitrios</au><au>Pitsavos, Christos</au><aucorp>ATTICA Study group</aucorp><aucorp>the ATTICA Study group</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Visceral adiposity index outperforms common anthropometric indices in predicting 10‐year diabetes risk: Results from the ATTICA study</atitle><jtitle>Diabetes/metabolism research and reviews</jtitle><addtitle>Diabetes Metab Res Rev</addtitle><date>2019-09</date><risdate>2019</risdate><volume>35</volume><issue>6</issue><spage>e3161</spage><epage>n/a</epage><pages>e3161-n/a</pages><issn>1520-7552</issn><eissn>1520-7560</eissn><abstract>Background Visceral adiposity index (VAI) is a novel marker of visceral adipose tissue accumulation and dysfunction. The study aim was to explore the association of VAI with the 10‐year type 2 diabetes mellitus (T2DM) incidence in apparently healthy individuals and compare its T2DM predictive ability against common anthropometric indices. Methods In 2001 to 2002, the ATTICA study (Greece) recruited a random sample of 1514 and 1528 CVD‐free men (18‐87 years old) and women (18‐89 years old), respectively. Sociodemographic, lifestyle, clinical, and biochemical characteristics of participants were measured at baseline, and the 10‐year follow‐up was performed during 2011 to 2012. After excluding participants with diabetes at baseline and participants without complete follow‐up information regarding diabetes status and/or baseline VAI values, the working sample consisted of 1049 participants. In this sample, the predictive value of baseline VAI value was studied in relation to 10‐year diabetes incidence. Results One hundred thirty‐three incident cases of diabetes were documented (10‐year incidence: 12.7%). In the fully adjusted model, VAI significantly increased diabetes risk by 22% (OR per 1‐unit increase =1.22; 95%CI, 1.09‐1.37). Markers of oxidative stress and inflammation were found to, at least partly, mediate this relationship. Also, a moderating effect of menstruation status was revealed among women. VAI showed the highest predictive ability and contributed the most, along with waist‐to‐height ratio, to the correct classification of participants who developed diabetes. Conclusions The present findings suggest that VAI may be a useful index for predicting long‐term diabetes development and may exhibit better predictive ability to commonly used anthropometric indices.</abstract><cop>England</cop><pub>Wiley Subscription Services, Inc</pub><pmid>30912290</pmid><doi>10.1002/dmrr.3161</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0001-8583-153X</orcidid><oa>free_for_read</oa></addata></record>
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subjects Adipose tissue
Adolescent
Adult
Aged
Aged, 80 and over
anthropometric indices
Anthropometry
Biochemical characteristics
Body Mass Index
Body measurements
Diabetes
Diabetes mellitus
Diabetes mellitus (non-insulin dependent)
Diabetes Mellitus, Type 2 - diagnosis
Diabetes Mellitus, Type 2 - epidemiology
Diabetes Mellitus, Type 2 - etiology
Female
Follow-Up Studies
Greece - epidemiology
Health risk assessment
Humans
Incidence
Intra-Abdominal Fat - pathology
Male
Medical prognosis
Menopause
Menstruation
Middle Aged
Obesity, Abdominal - complications
Oxidative stress
Predictive Value of Tests
prognostic markers
Prospective Studies
Risk Factors
type 2 diabetes
VAI
visceral adiposity index
Young Adult
title Visceral adiposity index outperforms common anthropometric indices in predicting 10‐year diabetes risk: Results from the ATTICA study
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