Evidence map›Paper›PMID 41910786›Full record

ArticleEuropean journal of pediatrics2026

Validation of an enhanced pediatric vitamin D deficiency score incorporating sun exposure timing and BMI z-score: analysis in a combined cohort of children.

Valeria Calcaterra, Hellas Cena, Ginevra Biino, Ilaria Anna Maria Scavone, Alessandra Vincenti, Gianvincenzo Zuccotti

Abstract readValidation Study
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Article in European journal of pediatrics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Valeria Calcaterra *Department of Internal Medicine and Therapeutics, University of Pavia, 27100, Pavia, Italy. valeria.calcaterra@unipv.it.
Hellas Cena *Laboratory of Dietetics and Clinical Nutrition, Department of Public Health, Experimental and Forensic Medicine, University of Pavia, 27100, Pavia, Italy. hellas.cena@unipv.it.
Ginevra BiinoInstitute of Molecular Genetics, National Research Council of Italy, 27100, Pavia, Italy.
Ilaria Anna Maria ScavonePediatric Department, Buzzi Children's Hospital, 20154, Milan, Italy.
Alessandra VincentiLaboratory of Dietetics and Clinical Nutrition, Department of Public Health, Experimental and Forensic Medicine, University of Pavia, 27100, Pavia, Italy.
Gianvincenzo ZuccottiPediatric Department, Buzzi Children's Hospital, 20154, Milan, Italy.

Funding

National Recovery and resilience Plan (NRRP), Mission 4 Component 2 Investment 1.3-Call for proposal No. 341 of 15 March 2022 of Italian Ministry of University and Research funded by the European Union-NextGenerationEU CUP F13C22001210007PODiaCar-EU4H-2022-PJ-3 co-funded by European Union. Project 101128946
6 · The paper itself

Abstract

Early identification of vitamin D (VitD) deficiency in childhood is essential to support timely prevention and intervention strategies. Building on the previously validated pediatric EVIDENCe-Q questionnaire, this study aimed to refine the tool by integrating two patient-specific weighted variables, sun exposure during peak UVB hours, and BMI z-score categories, both recognized determinants of circulating 25-hydroxyvitamin D (25-OH-D) levels. A total of 354 children (190F/164 M) completed a 20-item pediatric VitD risk questionnaire. Serum 25-OH-D concentrations were available for 280 participants. Three scoring algorithms were evaluated: the unweighted standard model, the sun-weighted model, and the sun + BMI-weighted model. Statistical analyses included ANOVA, Pearson correlations, and receiver operating characteristic (ROC) analyses across biochemical thresholds of vitamin D deficiency and insufficiency (< 10, < 20, and < 30 ng/mL). Vitamin D deficiency (< 10 ng/mL) was observed in 6.8% of participants, while insufficiency affected 38.1% (< 20 ng/mL) and 74.7% (< 30 ng/mL). The unweighted standard model did not discriminate among vitamin D categories (p = 0.622). In contrast, both weighted models showed significant discrimination (sun-weighted: p = 0.036; sun + BMI-weighted: p = 0.030). Only the sun + BMI-weighted model was significantly correlated with serum 25-OH-D levels (r =  - 0.13; p = 0.023). ROC analyses demonstrated limited accuracy for the unweighted model, whereas the weighted models showed moderate discriminatory ability, with the Sun + BMI-Weighted Model providing the strongest overall performance.

conclusionsIncorporating weighted patient-specific variables improves the discriminatory capacity of the pediatric EVIDENCe-Q. Despite moderate accuracy, particularly at lower thresholds, the refined questionnaire, especially the sun + BMI-weighted version, represents a practical, noninvasive screening tool to identify children at risk of hypovitaminosis D. WHAT IS KNOWN: • Vitamin D deficiency is highly prevalent in children worldwide, even in sun-rich regions, and is influenced by factors such as sun exposure and adiposity. • Serum 25-OH-D measurement is the diagnostic gold standard, while questionnaire-based tools offer a non-invasive but currently less accurate alternative in pediatrics. WHAT IS NEW: • Incorporating weighted factors for peak UVB sun exposure and BMI z-score signifi cantly improves the predictive performance of the pediatric EVIDENCe-Q. • The Sun + BMI-weighted model shows a significant correlation with serum 25-OH-D and enhances identification of children at risk of hypovitaminosis D (30 ng/mL).

Indexed as

Body Mass IndexSunlightVitamin DVitamin D DeficiencyAdolescentAlgorithmsChildChild, PreschoolFemaleHumansMaleROC CurveSurveys and Questionnaires25-hydroxyvitamin DVitamin DBMI z-scoreChildrenPediatricsQuestionnaireSun exposure timingVitamin D deficiency

Identifiers

PMID41910786
PMCPMC13035619

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.