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Enregistrement W7011142042

Longitudinal analysis of dietary patterns of Quebec youth

2018· dissertation· en· W7011142042 sur OpenAlexaboutno aff

Notice bibliographique

RevueeScholarship@McGill (McGill) · 2018
Typedissertation
Langueen
DomaineMedicine
ThématiquePreterm Birth and Chorioamnionitis
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésObesityContext (archaeology)CohortLongitudinal studyDescriptive statisticsChildhood obesityNational Longitudinal SurveysCohort studyOverweight
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

In Canada, the problem of obesity in children and adolescents is particularly alarming, as it is advancing at a more rapid pace than among adults. The role played by the immediate environment in shaping the dietary behavior of youth is increasingly important, particularly in the context of obesity prevention. Due to the ease with which cross-sectional studies can be undertaken, there are numerous such studies showing the relationship between children and their dietary intake, especially how they are not meeting their nutrition recommendations. Little research has examined the changes in dietary intake in children as they age. This study examines the changes in eating patterns of children between the ages 8-10 years and 15-17 years and to describe potential determinants of dietary changes as children grow older including, initial BMI and sex of the child, maternal obesity, paternal obesity and supper with family as potential factors associated with this change. The study used a secondary data set which was collected using a longitudinal cohort design- the Quebec Adiposity and Lifestyle Investigation in Youth (QUALITY) cohort. An essential eligibility criterion included Caucasian children with at least one obese biological parent. Participants 8-10 through 15-17 years of age had their dietary assessments by means of three 24-hour recalls at two time-points approximately 7 years apart. Data were entered and verified using the CANDAT10 software which uses the Canadian Nutrient File (CNF), version 2010 as a database. Key nutrients and food groupings were examined using IBM SPSS Statistic 22.0 © 2012 Software. Descriptive analyses were performed to understand sample characteristics. Paired t-tests were used to the compare the changes in servings of fruits, vegetables, grains, meat and alternatives, and dairy and alternatives consumed at two time-points. Participants were stratified by gender and by their obesity status to learn more about the evolution of diet as the child grows older. The participants (n = 365), were on average 9.5±0.9y, 54.5% were male, the mean BMI z-score of the cohort was 0.61±1.0 at baseline. Dietary intakes were normalized to 1000 kcal consumed. Overall the number of fruit and dairy servings decreased from 1.5±0.9 to 1.3±1.0 (p=0.004) and 1.1±0.5 to 1.0±0.5 (p<0.001) respectively per day over time. In contrast servings of grains and meats and alternatives increased. These changes in food choices led to increases in protein (p<0.01), and a decrease in calcium (p<0.01), owing to the decreased dairy consumption. The girls showed no decline in fruit intake while the boys declined substantially showing a significant difference (p<0.01) between the sexes. The mean change score for the five food groups examined was not influenced by baseline bodyweight of children. No significant differences were observed in the mean change score of servings for food groups examined, between the healthy weight group and the overweight/obese group. However, on comparing the mean change score, the healthy weight group reported greater increases in energy intake than the overweight/obese group (p<0.01). The children of mothers who were obese reduced their fruit intake over time (p<0.01). But on comparing mean change scores, maternal obesity status had no significant associations on the change in food group consumption or energy intake of the individuals in the study. The children having a non-obese father reported greater increases in their energy intake over time as compared to those children with an obese father (p<0.01). The findings from this study suggest that initiatives to increase fruit, vegetable and dairy intake with increasing age should be included in programs and interventions aimed to improve diet quality of individuals.

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 candidatesMéta-épidémiologie (sens strict), Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,558
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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 Opus0,025
Tête enseignante GPT0,266
Écart entre enseignants0,241 · 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.

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
Publié2018
Routes d'admission1
Résumé présentoui

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