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Enregistrement W3024900266 · doi:10.7939/r31z4242x

The prevalence and determinants of adequate vitamin D intake and supplementation among Canadian children

2016· article· en· W3024900266 sur OpenAlexaboutno aff
Dona Munasinghe

Notice bibliographique

RevueUniversity of Alberta Library · 2016
Typearticle
Langueen
DomaineMedicine
ThématiqueVitamin D Research Studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineEnvironmental healthDemographyPediatrics

Résumé

récupéré en direct d'OpenAlex

Most Canadian children are not meeting the dietary recommendations for vitamin D and have not enough sun exposure to synthesize vitamin D in their skin. Vitamin D supplementation therefore seems a necessity. However, no study has examined whether vitamin D from diet and supplements combined is enough to meet the Canadian recommendations. Likewise, no earlier study examined factors associated with vitamin D intake from diet and supplements, which is important information for public health decision makers and public health interventions. Therefore, this study aimed to assess the adequacy of vitamin D intake through both diet and supplements (objective 1), the determinants of meeting dietary guidelines (objective 2), and to assess the prevalence (objective 3) and the determinants of the use of vitamin D supplements (objective 4) and multivitamins (objective 5) among children in the province of Alberta, Canada. In 2014, a representative sample of grade five students (10-11y) in Alberta (n=2,686) was surveyed. Data on dietary intake and the use of supplements were obtained using a modified Harvard Youth/Adolescent Food Frequency questionnaire. Parents were asked how much they cared about healthy foods and physical activity and if they encouraged their child to eat healthy foods and be physically active. The adequacy of vitamin D intake was estimated using the two cut-offs given for the DRIs, i.e. the Estimated Average Requirement (EAR) of 400 International Units (IU) and the Recommended Dietary Allowance (RDA) of 600 IU. Mixed effect multiple logistic regression analysis was employed to identify the key correlates of meeting the DRIs and supplement use. Forty five percent of students met the EAR and 22% met the RDA through both diet and supplements. When vitamin D intake from diet alone was considered, only 16% and 2% met the EAR and the RDA, respectively. Out of 29% of vitamin D supplement users, 12% used supplements on a daily basis. Although 54% used multivitamins, only 28% used them on a daily basis. Parental education, household income and physical activity were positively correlated with meeting the DRIs, and students attending metropolitan area schools were more likely to meet the EAR than students attending rural area schools. Students who resided in a metropolitan area, who were more physically active, or whose parents completed college were more likely to take vitamin D supplements, independent of student’s gender, household income, body weight status and dietary practices. Students were more likely to supplement with vitamin D if their parents cared about and encouraged eating healthy foods and also cared about physical activity. The prevalence of vitamin D supplement use was highest among those who had a high vitamin D diet and those with under/normal body weight status, although supplement use was not statistically associated with either dietary vitamin D intake or body weight status. Household income, parental education and physical activity were positively associated with multivitamin use and students of parents who personally cared about eating healthy foods were more likely to take multivitamins. Public health initiatives are needed to promote supplementation of vitamin D among Albertan children. Parental awareness on the importance of providing the correct dose of vitamin D supplements to meet dietary recommendations and, educating and encouraging parents about healthy lifestyles should be a part of such initiatives.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,031
Score d'incertitude au seuil0,969

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,007
Tête enseignante GPT0,213
Écart entre enseignants0,205 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2016
Routes d'admission1
Résumé présentoui

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