Determination of the Optimal Cut-Off Point of Anthropometric Indices to Predict the Risk of Metabolic Syndrome in Iranian Adult Population With Type 2 Diabetes Mellitus: A Cross-Sectional-Analytical Study.
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| Title: | Determination of the Optimal Cut-Off Point of Anthropometric Indices to Predict the Risk of Metabolic Syndrome in Iranian Adult Population With Type 2 Diabetes Mellitus: A Cross-Sectional-Analytical Study. |
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| Authors: | Moqaddasi Amiri M; Department of Public Health, Sirjan School of Medical Sciences, Sirjan, Iran.; Student Research Committee, Sirjan School of Medical Sciences, Sirjan, Iran., Bazyar H; Department of Public Health, Sirjan School of Medical Sciences, Sirjan, Iran.; Student Research Committee, Sirjan School of Medical Sciences, Sirjan, Iran., Amini MR; Nutrition and Food Security Research Center, Isfahan University of Medical Sciences, Isfahan, Iran., Aghamohammadi V; Department of Nutrition, Khalkhal University of Medical Sciences, Khalkhal, Iran., Zare Javid A; Faculty of Health and Life Sciences, Northumbria University, Newcastle upon Tyne, UK. |
| Source: | Endocrinology, diabetes & metabolism [Endocrinol Diabetes Metab] 2026 May; Vol. 9 (3), pp. e70231. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: John Wiley & Sons Ltd Country of Publication: England NLM ID: 101732442 Publication Model: Print Cited Medium: Internet ISSN: 2398-9238 (Electronic) Linking ISSN: 23989238 NLM ISO Abbreviation: Endocrinol Diabetes Metab Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 42137997 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Determination of the Optimal Cut-Off Point of Anthropometric Indices to Predict the Risk of Metabolic Syndrome in Iranian Adult Population With Type 2 Diabetes Mellitus: A Cross-Sectional-Analytical Study. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Moqaddasi+Amiri+M%22">Moqaddasi Amiri M</searchLink>; Department of Public Health, Sirjan School of Medical Sciences, Sirjan, Iran.; Student Research Committee, Sirjan School of Medical Sciences, Sirjan, Iran.<br /><searchLink fieldCode="AU" term="%22Bazyar+H%22">Bazyar H</searchLink>; Department of Public Health, Sirjan School of Medical Sciences, Sirjan, Iran.; Student Research Committee, Sirjan School of Medical Sciences, Sirjan, Iran.<br /><searchLink fieldCode="AU" term="%22Amini+MR%22">Amini MR</searchLink>; Nutrition and Food Security Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.<br /><searchLink fieldCode="AU" term="%22Aghamohammadi+V%22">Aghamohammadi V</searchLink>; Department of Nutrition, Khalkhal University of Medical Sciences, Khalkhal, Iran.<br /><searchLink fieldCode="AU" term="%22Zare+Javid+A%22">Zare Javid A</searchLink>; Faculty of Health and Life Sciences, Northumbria University, Newcastle upon Tyne, UK. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101732442%22">Endocrinology, diabetes & metabolism</searchLink> [Endocrinol Diabetes Metab] 2026 May; Vol. 9 (3), pp. e70231. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22John+Wiley+%26+Sons+Ltd%22">John Wiley & Sons Ltd </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101732442 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>2398-9238 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2223989238%22">23989238 </searchLink><i>NLM ISO Abbreviation: </i>Endocrinol Diabetes Metab <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42137997 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/edm2.70231 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: e70231 Titles: – TitleFull: Determination of the Optimal Cut-Off Point of Anthropometric Indices to Predict the Risk of Metabolic Syndrome in Iranian Adult Population With Type 2 Diabetes Mellitus: A Cross-Sectional-Analytical Study. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Moqaddasi Amiri M – PersonEntity: Name: NameFull: Bazyar H – PersonEntity: Name: NameFull: Amini MR – PersonEntity: Name: NameFull: Aghamohammadi V – PersonEntity: Name: NameFull: Zare Javid A IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: 2026 May Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 2398-9238 Numbering: – Type: volume Value: 9 – Type: issue Value: 3 Titles: – TitleFull: Endocrinology, diabetes & metabolism Type: main |
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