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dc.creatorValer-Martínez, A. (Ana)-
dc.creatorSayon-Orea, C. (Carmen)-
dc.creatorMartínez-Hernández, J.A. (J. Alfredo)-
dc.creatorFuente-Arrillaga, C. (Carmen) de la-
dc.creatorPérez-de-Rojas, J. (Javier)-
dc.creatorBarcones-Molero, (M.F.) María Fé-
dc.creatorMartinez-Gonzalez, M.A. (Miguel Ángel)-
dc.creatorBes-Rastrollo, M. (Maira)-
dc.date.accessioned2024-04-30T11:22:10Z-
dc.date.available2024-04-30T11:22:10Z-
dc.date.issued2023-
dc.identifier.citationValer-Martínez, A. (Ana); Sayon-Orea, C. (Carmen); Martínez-Hernández, J.A. (J. Alfredo); et al. "Forecasting levels of serum 25-hydroxyvitamin D based on dietary intake, lifestyle and personal determinants in a sample of Southern Europeans". British Journal of Nutrition. 130 (10), 2023, 1814 - 1822es_ES
dc.identifier.issn0007-1145-
dc.identifier.urihttps://hdl.handle.net/10171/69419-
dc.description.abstractVitamin 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 v. observed serum values. Data were collected in Spain. A total of 220 healthy volunteers aged between 18 and 78 years were included in this study. They completed validated questionnaires and agreed to provide blood samples to measure serum 25-hydroxyvitamin D (25(OH)D) levels. The common final predictors in both models were age, sex, sunlight exposure, vitamin D dietary intake (as assessed by the FFQ), BMI, time spent walking, physical activity and skin reaction after sun exposure. The intraclass correlation coefficient for the prediction was 0·60 (95 % CI: 0·52, 0·67; P < 0·001) using the random forest model. The magnitude of the correlation was moderate, which means that our estimation could be useful in future epidemiological studies to establish a link between the predicted 25(OH)D values and the occurrence of several clinical outcomes in larger cohorts.es_ES
dc.language.isoenges_ES
dc.publisherCambridge University Presses_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.subjectLifestylees_ES
dc.subjectPredictive modeles_ES
dc.subjectPredictorses_ES
dc.subjectVitamin Des_ES
dc.titleForecasting levels of serum 25-hydroxyvitamin D based on dietary intake, lifestyle and personal determinants in a sample of Southern Europeanses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.description.noteThis is an Open Access article, distributed under the terms of the Creative Commons Attribution licencees_ES
dc.identifier.doi10.1017/S0007114523000946-
dadun.citation.endingPage1822es_ES
dadun.citation.number10es_ES
dadun.citation.publicationNameBritish Journal of Nutritiones_ES
dadun.citation.startingPage1814es_ES
dadun.citation.volume130es_ES
dc.identifier.pmid37039468-

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