{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,27]],"date-time":"2026-03-27T11:42:49Z","timestamp":1774611769284,"version":"3.50.1"},"reference-count":27,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2025,5,30]],"date-time":"2025-05-30T00:00:00Z","timestamp":1748563200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Pediatr."],"abstract":"<jats:sec><jats:title>Objective<\/jats:title><jats:p>The vitamin D\u2013type 1 diabetes (T1D) association has been debated in public health. The purpose of this study was to develop a vitamin D deficiency prediction model and investigate vitamin D deficiency risk factors in children and adolescents with new-onset T1D.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>A single-centre, retrospective analysis of paediatric patients (1\u201318 years) with new-onset T1D and initial 25-hydroxyvitamin D assessments was performed at a tertiary hospital in China between January 2020 and July 2024 (<jats:italic>n<\/jats:italic>\u2009=\u2009353). The patients were divided into two groups according to whether their vitamin D deficiency exceeded 12\u2005ng\/ml. After identifying vitamin D deficiency risk factors in children\/adolescents with new-onset T1D, a receiver operating characteristic (ROC) curve model was developed to predict the probability of vitamin D deficiency in these individuals. That model was represented with a nomogram. Calibration and clinical decision analysis curves were used to evaluate the model's effectiveness after internal validation via bootstrapping.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>The prevalence rate of serum vitamin D deficiency among patients with new-onset T1D was 26.35% (93\/353). Multivariate logistic regression analysis revealed that minority status (X1), weight (X2), diabetic ketoacidosis severity (X3), serum vitamin D testing season (X4), free triiodothyronine (X5), and high-density lipoprotein (X6) were closely associated with serum vitamin D deficiency development in children\/adolescents with new-onset T1D (<jats:italic>P<\/jats:italic>\u2009&amp;lt;\u20090.05). The model was logit (P) =e<jats:sup>x<\/jats:sup>\/(1\u2009+\u2009e<jats:sup>x<\/jats:sup>), X\u2009=\u20094.626\u22121.878*X1\u22120.038*X2\u22120.821*X3\u22120.88*X4\u2009+\u20090.351*X5\u2009+\u20090.532*X6. The area under the curve (AUC) of the serum vitamin D deficiency predictive model among patients with new-onset T1D was 0.769 (95% CI\u2009=\u20090.711\u20130.826). The predicted probability's best cut-off value was 0.671.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>The established risk prediction model has good efficacy, providing a reference for screening high-risk vitamin D deficiency groups among children\/adolescents with new-onset T1D and taking preventive and protective measures. The nomogram was developed based on a single-center cohort in China, and its generalizability needs further validation in more extensive populations.<\/jats:p><\/jats:sec>","DOI":"10.3389\/fped.2025.1554833","type":"journal-article","created":{"date-parts":[[2025,5,30]],"date-time":"2025-05-30T05:43:12Z","timestamp":1748583792000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Construction of a nomogram for predicting serum vitamin D deficiency in children\/adolescents with new-onset type 1 diabetes: a single-center study in China"],"prefix":"10.3389","volume":"13","author":[{"given":"Xin","family":"Yang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hui","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Min","family":"Liao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Meng","family":"Lin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jin","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1965","published-online":{"date-parts":[[2025,5,30]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1016\/j.ecl.2023.09.008","article-title":"Type 1 diabetes screening and diagnosis","volume":"53","author":"Gomez","year":"2024","journal-title":"Endocrinol Metab Clin North 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