ArticleThe British journal of nutrition2023
Forecasting levels of serum 25-hydroxyvitamin D based on dietary intake, lifestyle and personal determinants in a sample of Southern Europeans.
Article in The British journal of nutrition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 8 citations in OpenAlex.
- Plasma Vitamin D and Intermediate Age-Related Macular Degeneration: Insights from the Longitudinal ALIENOR Study.Ophthalmology science · 2026Article
- Dietary and supplemental vitamin D intake and pain interference in adults with chronic spine-related pain: a cross-sectional survey study.Frontiers in nutrition · 2026Article
- Rethinking Vitamin D Deficiency: Controversies and Practical Guidance for Clinical Management.Nutrients · 2025Review
- Development and validation of prediction model for vitamin D deficiency in Chinese college students (a dynamic online nomogram predicting vitamin D deficiency for Chinese college students).Journal of health, population, and nutrition · 2025Article
- Vitamin D and risk of developing type 2 diabetes in the SUN project: a prospective cohort study.Journal of endocrinological investigation · 2024Article
- Vitamin D and the Risk of Developing Hypertension in the SUN Project: A Prospective Cohort Study.Nutrients · 2024Article
Corrections and comments
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Authors and funding
8 authors at 6 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Vitamin D is an essential nutrient to be consumed in the habitual dietary intake, whose deficiency is associated with various disturbances. This study represents a validation of vitamin D status estimation using a semi-quantitative FFQ, together with data from additional physical activity and lifestyle questionnaires. This information was combined to forecast the serum vitamin D status. Different statistical methods were applied to estimate the vitamin D status using predictors based on diet and lifestyle. Serum vitamin D was predicted using linear regression (with leave-one-out cross-validation) and random forest models. Intraclass correlation coefficients, Lin's agreement coefficients, Bland-Altman plots and other methods were used to assess the accuracy of the predicted
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Registered trials
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