Accuracy of novel anthropometric indices for assessing the risk for progression of prediabetes to diabetes; 13 years of results from Isfahan Cohort Study
We examined the accuracy of novel anthropometric indices in predicting the progression of prediabetes to diabetes. This study was performed on the pre-diabetic sub-population from Isfahan Cohort Study (ICS). Participants were followed up from 2001 to 2013. During every 5-year follow-up survey, patie...
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| Veröffentlicht in: | Archives of Endocrinology and Metabolism 2024-01, Vol.68, p.e230269 |
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| creator | Fakhrolmobasheri, Mohammad Shafie, Davood Manshaee, Behrad Karbasi, Shima Mazroui, Alireza Najafabadi, Mahsa Mohammadi Mazaheri-Tehrani, Sadegh Sadeghi, Masoumeh Roohafza, Hamidreza Emamimeybodi, Maryam Heidarpour, Maryam Rabanipour, Najmeh Sarrafzadegan, Nizal |
| description | We examined the accuracy of novel anthropometric indices in predicting the progression of prediabetes to diabetes.
This study was performed on the pre-diabetic sub-population from Isfahan Cohort Study (ICS). Participants were followed up from 2001 to 2013. During every 5-year follow-up survey, patients' data regarding the incidence and time of incidence of diabetes were recorded. We evaluated the association between the risk of developing diabetes and novel anthropometric indices including: visceral adiposity index (VAI), lipid accumulation products (LAP), deep abdominal adipose tissue (DAAT), abdominal volume index (AVI), A body shape index (ABSI), body roundness index (BRI) and weight-adjusted waist index (WWI). We categorized the indices into two groups according to the median value of each index in the population. We used Cox regression analysis to obtain hazard ratios (HR) using the first group as the reference category and used receiver operating characteristics (ROC) curve analysis for comparing the predictive performance of the indices.
From 215 included subjects, 79 developed diabetes during the 13-year follow-up. AVI, LAP, BRI, and VAI indicated statistically significant HR in crude and adjusted regression models. LAP had the greatest association with the development of diabetes HR = 2.18 (1.36-3.50) in multivariable analysis. ROC curve analysis indicated that LAP has the greatest predictive performance among indices (area under the curve = 0.627).
Regardless of baseline confounding variables, prediabetic patients with a higher LAP index may be at significantly higher risk for developing diabetes. |
| doi_str_mv | 10.20945/2359-4292-2023-0269 |
| format | Article |
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This study was performed on the pre-diabetic sub-population from Isfahan Cohort Study (ICS). Participants were followed up from 2001 to 2013. During every 5-year follow-up survey, patients' data regarding the incidence and time of incidence of diabetes were recorded. We evaluated the association between the risk of developing diabetes and novel anthropometric indices including: visceral adiposity index (VAI), lipid accumulation products (LAP), deep abdominal adipose tissue (DAAT), abdominal volume index (AVI), A body shape index (ABSI), body roundness index (BRI) and weight-adjusted waist index (WWI). We categorized the indices into two groups according to the median value of each index in the population. We used Cox regression analysis to obtain hazard ratios (HR) using the first group as the reference category and used receiver operating characteristics (ROC) curve analysis for comparing the predictive performance of the indices.
From 215 included subjects, 79 developed diabetes during the 13-year follow-up. AVI, LAP, BRI, and VAI indicated statistically significant HR in crude and adjusted regression models. LAP had the greatest association with the development of diabetes HR = 2.18 (1.36-3.50) in multivariable analysis. ROC curve analysis indicated that LAP has the greatest predictive performance among indices (area under the curve = 0.627).
Regardless of baseline confounding variables, prediabetic patients with a higher LAP index may be at significantly higher risk for developing diabetes.</description><identifier>ISSN: 2359-3997</identifier><identifier>EISSN: 2359-4292</identifier><identifier>DOI: 10.20945/2359-4292-2023-0269</identifier><identifier>PMID: 39420936</identifier><language>eng</language><publisher>Brazil: Sociedade Brasileira de Endocrinologia e Metabologia</publisher><subject>Adiposity ; Adult ; Anthropometry - methods ; Body Mass Index ; Cohort Studies ; Diabetes mellitus ; Diabetes Mellitus, Type 2 ; Disease Progression ; Female ; Follow-Up Studies ; Humans ; Incidence ; Intra-Abdominal Fat ; Iran - epidemiology ; Male ; Middle Aged ; obesity ; Original ; Prediabetic State ; Risk Assessment ; Risk Factors ; ROC Curve ; Waist Circumference</subject><ispartof>Archives of Endocrinology and Metabolism, 2024-01, Vol.68, p.e230269</ispartof><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c393t-5f9e58034d5021424215a8c1f98d8f6960d65dec3e51769b84d7d8b7b35b415b3</cites><orcidid>0000-0003-2768-6578 ; 0000-0002-7999-2393 ; 0000-0003-3582-0431 ; 0000-0001-7179-5558 ; 0000-0002-6858-3885 ; 0000-0002-4809-4072 ; 0000-0002-6502-376X ; 0000-0002-0670-9091 ; 0000-0002-8948-4210 ; 0009-0009-4105-3380 ; 0000-0002-7199-5696 ; 0000-0002-6828-2169 ; 0000-0001-5783-8312</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11460962/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11460962/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39420936$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Fakhrolmobasheri, Mohammad</creatorcontrib><creatorcontrib>Shafie, Davood</creatorcontrib><creatorcontrib>Manshaee, Behrad</creatorcontrib><creatorcontrib>Karbasi, Shima</creatorcontrib><creatorcontrib>Mazroui, Alireza</creatorcontrib><creatorcontrib>Najafabadi, Mahsa Mohammadi</creatorcontrib><creatorcontrib>Mazaheri-Tehrani, Sadegh</creatorcontrib><creatorcontrib>Sadeghi, Masoumeh</creatorcontrib><creatorcontrib>Roohafza, Hamidreza</creatorcontrib><creatorcontrib>Emamimeybodi, Maryam</creatorcontrib><creatorcontrib>Heidarpour, Maryam</creatorcontrib><creatorcontrib>Rabanipour, Najmeh</creatorcontrib><creatorcontrib>Sarrafzadegan, Nizal</creatorcontrib><title>Accuracy of novel anthropometric indices for assessing the risk for progression of prediabetes to diabetes; 13 years of results from Isfahan Cohort Study</title><title>Archives of Endocrinology and Metabolism</title><addtitle>Arch Endocrinol Metab</addtitle><description>We examined the accuracy of novel anthropometric indices in predicting the progression of prediabetes to diabetes.
This study was performed on the pre-diabetic sub-population from Isfahan Cohort Study (ICS). Participants were followed up from 2001 to 2013. During every 5-year follow-up survey, patients' data regarding the incidence and time of incidence of diabetes were recorded. We evaluated the association between the risk of developing diabetes and novel anthropometric indices including: visceral adiposity index (VAI), lipid accumulation products (LAP), deep abdominal adipose tissue (DAAT), abdominal volume index (AVI), A body shape index (ABSI), body roundness index (BRI) and weight-adjusted waist index (WWI). We categorized the indices into two groups according to the median value of each index in the population. We used Cox regression analysis to obtain hazard ratios (HR) using the first group as the reference category and used receiver operating characteristics (ROC) curve analysis for comparing the predictive performance of the indices.
From 215 included subjects, 79 developed diabetes during the 13-year follow-up. AVI, LAP, BRI, and VAI indicated statistically significant HR in crude and adjusted regression models. LAP had the greatest association with the development of diabetes HR = 2.18 (1.36-3.50) in multivariable analysis. ROC curve analysis indicated that LAP has the greatest predictive performance among indices (area under the curve = 0.627).
Regardless of baseline confounding variables, prediabetic patients with a higher LAP index may be at significantly higher risk for developing diabetes.</description><subject>Adiposity</subject><subject>Adult</subject><subject>Anthropometry - methods</subject><subject>Body Mass Index</subject><subject>Cohort Studies</subject><subject>Diabetes mellitus</subject><subject>Diabetes Mellitus, Type 2</subject><subject>Disease Progression</subject><subject>Female</subject><subject>Follow-Up Studies</subject><subject>Humans</subject><subject>Incidence</subject><subject>Intra-Abdominal Fat</subject><subject>Iran - epidemiology</subject><subject>Male</subject><subject>Middle Aged</subject><subject>obesity</subject><subject>Original</subject><subject>Prediabetic State</subject><subject>Risk Assessment</subject><subject>Risk Factors</subject><subject>ROC Curve</subject><subject>Waist Circumference</subject><issn>2359-3997</issn><issn>2359-4292</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>DOA</sourceid><recordid>eNpVkc1q3DAURk1oSUKaNwhBL-BW_7boooShbQYCXbRdC1m6Giv1WEbSBOZR8ra1Z5IhWeny3fsdLU5V3RD8mWLFxRfKhKo5VbSmmLIaU6nOqstT-uFlZko1F9V1zo8YYyIIIVycVxdM8RnD5GX1fGftLhm7R9GjMT7BgMxY-hSnuIWSgkVhdMFCRj4mZHKGnMO4QaUHlEL-d4inFDdpWcRxwUwJXDAdlLlVInqdvyLC0B5MysvRfL8byoxNcYvW2ZvejGgV-5gK-l12bv-p-ujNkOH65b2q_v74_md1Xz_8-rle3T3UlilWauEViBYz7gSmhFNOiTCtJV61rvVSSeykcGAZCNJI1bXcNa7tmo6JjhPRsatqfeS6aB71lMLWpL2OJuhDENNGm1SCHUB3SipimFcdSO4IGOxBNBwbZqzHpJlZ346saddtwVkYSzLDO-j7zRh6vYlPevYisZJ0JvAjwaaYcwJ_KhOsD-r1IlYvkvWiXi_q59rt249PpVfR7D8PX60d</recordid><startdate>20240101</startdate><enddate>20240101</enddate><creator>Fakhrolmobasheri, Mohammad</creator><creator>Shafie, Davood</creator><creator>Manshaee, Behrad</creator><creator>Karbasi, Shima</creator><creator>Mazroui, Alireza</creator><creator>Najafabadi, Mahsa Mohammadi</creator><creator>Mazaheri-Tehrani, Sadegh</creator><creator>Sadeghi, Masoumeh</creator><creator>Roohafza, Hamidreza</creator><creator>Emamimeybodi, Maryam</creator><creator>Heidarpour, Maryam</creator><creator>Rabanipour, Najmeh</creator><creator>Sarrafzadegan, Nizal</creator><general>Sociedade Brasileira de Endocrinologia e Metabologia</general><general>Brazilian Society of Endocrinology and Metabolism</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>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0003-2768-6578</orcidid><orcidid>https://orcid.org/0000-0002-7999-2393</orcidid><orcidid>https://orcid.org/0000-0003-3582-0431</orcidid><orcidid>https://orcid.org/0000-0001-7179-5558</orcidid><orcidid>https://orcid.org/0000-0002-6858-3885</orcidid><orcidid>https://orcid.org/0000-0002-4809-4072</orcidid><orcidid>https://orcid.org/0000-0002-6502-376X</orcidid><orcidid>https://orcid.org/0000-0002-0670-9091</orcidid><orcidid>https://orcid.org/0000-0002-8948-4210</orcidid><orcidid>https://orcid.org/0009-0009-4105-3380</orcidid><orcidid>https://orcid.org/0000-0002-7199-5696</orcidid><orcidid>https://orcid.org/0000-0002-6828-2169</orcidid><orcidid>https://orcid.org/0000-0001-5783-8312</orcidid></search><sort><creationdate>20240101</creationdate><title>Accuracy of novel anthropometric indices for assessing the risk for progression of prediabetes to diabetes; 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13 years of results from Isfahan Cohort Study</atitle><jtitle>Archives of Endocrinology and Metabolism</jtitle><addtitle>Arch Endocrinol Metab</addtitle><date>2024-01-01</date><risdate>2024</risdate><volume>68</volume><spage>e230269</spage><pages>e230269-</pages><issn>2359-3997</issn><eissn>2359-4292</eissn><abstract>We examined the accuracy of novel anthropometric indices in predicting the progression of prediabetes to diabetes.
This study was performed on the pre-diabetic sub-population from Isfahan Cohort Study (ICS). Participants were followed up from 2001 to 2013. During every 5-year follow-up survey, patients' data regarding the incidence and time of incidence of diabetes were recorded. We evaluated the association between the risk of developing diabetes and novel anthropometric indices including: visceral adiposity index (VAI), lipid accumulation products (LAP), deep abdominal adipose tissue (DAAT), abdominal volume index (AVI), A body shape index (ABSI), body roundness index (BRI) and weight-adjusted waist index (WWI). We categorized the indices into two groups according to the median value of each index in the population. We used Cox regression analysis to obtain hazard ratios (HR) using the first group as the reference category and used receiver operating characteristics (ROC) curve analysis for comparing the predictive performance of the indices.
From 215 included subjects, 79 developed diabetes during the 13-year follow-up. AVI, LAP, BRI, and VAI indicated statistically significant HR in crude and adjusted regression models. LAP had the greatest association with the development of diabetes HR = 2.18 (1.36-3.50) in multivariable analysis. ROC curve analysis indicated that LAP has the greatest predictive performance among indices (area under the curve = 0.627).
Regardless of baseline confounding variables, prediabetic patients with a higher LAP index may be at significantly higher risk for developing diabetes.</abstract><cop>Brazil</cop><pub>Sociedade Brasileira de Endocrinologia e Metabologia</pub><pmid>39420936</pmid><doi>10.20945/2359-4292-2023-0269</doi><orcidid>https://orcid.org/0000-0003-2768-6578</orcidid><orcidid>https://orcid.org/0000-0002-7999-2393</orcidid><orcidid>https://orcid.org/0000-0003-3582-0431</orcidid><orcidid>https://orcid.org/0000-0001-7179-5558</orcidid><orcidid>https://orcid.org/0000-0002-6858-3885</orcidid><orcidid>https://orcid.org/0000-0002-4809-4072</orcidid><orcidid>https://orcid.org/0000-0002-6502-376X</orcidid><orcidid>https://orcid.org/0000-0002-0670-9091</orcidid><orcidid>https://orcid.org/0000-0002-8948-4210</orcidid><orcidid>https://orcid.org/0009-0009-4105-3380</orcidid><orcidid>https://orcid.org/0000-0002-7199-5696</orcidid><orcidid>https://orcid.org/0000-0002-6828-2169</orcidid><orcidid>https://orcid.org/0000-0001-5783-8312</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Adiposity Adult Anthropometry - methods Body Mass Index Cohort Studies Diabetes mellitus Diabetes Mellitus, Type 2 Disease Progression Female Follow-Up Studies Humans Incidence Intra-Abdominal Fat Iran - epidemiology Male Middle Aged obesity Original Prediabetic State Risk Assessment Risk Factors ROC Curve Waist Circumference |
| title | Accuracy of novel anthropometric indices for assessing the risk for progression of prediabetes to diabetes; 13 years of results from Isfahan Cohort Study |
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