{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,2]],"date-time":"2026-09-02T11:13:02Z","timestamp":1788347582448,"version":"build-2803163510"},"reference-count":23,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2025,2,13]],"date-time":"2025-02-13T00:00:00Z","timestamp":1739404800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100004737","name":"National Health Research Institutes","doi-asserted-by":"publisher","award":["MG\u2010112\u2010SP\u201009"],"award-info":[{"award-number":["MG\u2010112\u2010SP\u201009"]}],"id":[{"id":"10.13039\/501100004737","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004737","name":"National Health Research Institutes","doi-asserted-by":"publisher","award":["MG\u2010113\u2010GP\u201003"],"award-info":[{"award-number":["MG\u2010113\u2010GP\u201003"]}],"id":[{"id":"10.13039\/501100004737","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J of Diabetes Invest"],"published-print":{"date-parts":[[2025,5]]},"abstract":"ABSTRACT<\/jats:title>Aims<\/jats:title>Current metabolic syndrome (mets) criteria often lack consideration for age and gender differences. This study introduces the mets\u2010Z score, a novel tool designed to enhance mets assessment and improve long\u2010term outcome predictions.<\/jats:p><\/jats:sec>Materials and Methods<\/jats:title>The mets\u2010Z score was developed using principal component analysis (PCA) to weight five mets indicators\u2014waist circumference, blood glucose, blood pressure, high\u2010density lipoprotein (HDL) cholesterol, and triglycerides\u2014by gender and age. Data from 188,739 Taiwan Biobank participants, stratified by gender and age groups (20\u201339, 40\u201354, 55\u201364, 65+ years), were analyzed. Predictive performance for type 2 diabetes mellitus onset was assessed over a 4\u2010 to 5\u2010year follow\u2010up.<\/jats:p><\/jats:sec>Results<\/jats:title>The mets\u2010Z score achieved superior accuracy in predicting type 2 diabetes mellitus onset, with an AUC of 0.76 in men and 0.80 in women, significantly outperforming conventional indices (P<\/jats:italic>\u2009<\u20090.0001).<\/jats:p><\/jats:sec>Conclusions<\/jats:title>By integrating age\u2010 and gender\u2010specific variations, the mets\u2010Z score provides a more personalized and precise tool for assessing metabolic and diabetes risk, surpassing existing methods. The tool is available for public use at http:\/\/bioinfolab.nhri.edu.tw\/metsz\/<\/jats:ext-link>, supporting broader applications in precision medicine.<\/jats:p><\/jats:sec>","DOI":"10.1111\/jdi.70004","type":"journal-article","created":{"date-parts":[[2025,2,13]],"date-time":"2025-02-13T12:31:26Z","timestamp":1739449886000},"page":"907-916","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["MetS<\/scp>\u2010Z: A gender\u2010 and age\u2010specific scoring system for predicting type 2 diabetes"],"prefix":"10.1111","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9176-000X","authenticated-orcid":false,"given":"Paul Wei\u2010Che","family":"Hsu","sequence":"first","affiliation":[{"name":"Institute of Molecular and Genomic Medicine National Health Research Institutes Zhunan Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4307-3002","authenticated-orcid":false,"given":"Yi\u2010Rong","family":"Chen","sequence":"additional","affiliation":[{"name":"Institute of Molecular and Genomic Medicine National Health Research Institutes Zhunan Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wayne Huey\u2010Herng","family":"Sheu","sequence":"additional","affiliation":[{"name":"Institute of Molecular and Genomic Medicine National Health Research Institutes Zhunan Taiwan"},{"name":"Division of Endocrinology and Metabolism, Department of Internal Medicine Taichung Veterans General Hospital Taichung Taiwan"},{"name":"Division of Endocrinology and Metabolism, Department of Internal Medicine Taipei Veterans General Hospital Taipei Taiwan"},{"name":"School of Medicine, College of Medicine National Yang Ming Chiao Tung University Taipei Taiwan"},{"name":"School of Medicine National Defense Medical 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