Abstract P180: Does Poverty Consistently Affect Food Consumption in Childhood? Evidence from a Longitudinal Study in Children
Notice bibliographique
Résumé
Background: Childhood poverty is associated with poorer food consumption patterns but longitudinal data on this association is limited. To assess if the relationship between food consumption and poverty differs depending on the child’s age and pattern of poverty, we analyzed the relationship between consumption of selected foods and poverty trajectories at various ages in a birth cohort. Methods: The 1998-2010 "Quebec Longitudinal Study of Child Development" (n=2,120) cohort was used for these analyses. Household income was measured annually with poverty defined as income below the low-income thresholds established by Statistics Canada adjusted for household size and geographic region. Frequency of children’s consumption of dairy (milk, cheese, yogurt), fruits, and vegetables were reported by parents using a food frequency questionnaire. Analyses were conducted on the 739 children with food consumption data. Trajectories of poverty at 6, 8, 10, and 12 years were characterized with latent class group analysis using maximum likelihood in a semiparametric mixture model. Multivariable logistic regression predicted the likelihood of having less than 2 servings a day of dairy, fruits and vegetables based on poverty trajectories after adjusting for age and sex. Results: The poverty trajectories were stable and fell into 1 lower exposure category (consistently low exposure (73%, n=537)) and 3 higher exposure categories (increasing: 8%, n=61; decreasing: 10%, n=73; or consistently high exposure: 9%, n=68)). Compared to children experiencing low exposure to poverty, children with increasing or high exposure to poverty were less likely to have at least two servings of fruit a day at all ages, but the results were not significant. Compared to children experiencing low exposure to poverty, children with high exposure were 55% (CI: 0.2-0.8, p=0.001), 31% (CI: 0.4-1.2, p=0.23), 67% (CI: 0.2-0.6, p<.0001), and 49% (CI: 0.3-0.8, p=0.001) less likely to have at least two servings of dairy a day at 6, 8, 10, and 12 years, respectively. Compared to children with low exposure to poverty, children with high exposure were 43% (CI: 0.3-0.9, p=0.02), 46% (CI: 0.3-0.9, p=0.02), 55% (CI: 0.3-0.8, p=0.003), and 47% (CI: 0.3-0.9, p=0.02) less likely to have at least two servings of vegetables a day at 6, 8, 10, and 12 years, respectively. Children at all ages with decreasing or increasing exposure to poverty were less likely to have at least two servings of vegetables a day, but the results were not statistically significant. Conclusion: Experiencing high exposure to poverty has consistent effects on food consumption throughout childhood. In addition, compared to children with low exposure to poverty, children with increasing or decreasing exposure were less likely to have at least 2 servings of fruits and vegetables a day, suggesting any exposure to poverty may have detrimental effects on consumption of selected foods.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,004 | 0,012 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,002 |
| Bibliométrie | 0,002 | 0,004 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».