Economic Disadvantage, Caregiver Mental Health, Family Functioning, and Children’s Social, Emotional, and Behavioral Well-Being in Low-Income Families
Notice bibliographique
Résumé
Economic disadvantage continues to be of significant concern to many Canadian families and is at the forefront of many municipal, provincial, and federal government initiatives. The health consequences of living in low-income have been well-documented; however, the relationships between economic disadvantage, caregiver mental health, family functioning, and children’s social, emotional, and behavioral outcomes are less clear, particularly in vulnerable families, such as Foreign-Born Immigrants, Foreign-Born Refugees, Canadian-Born Indigenous, and those families with a lone caregiver. Previous theories of the relationships between income, parental mental health, and children’s outcomes have demonstrated that economic difficulties have a negative effect on parents’ emotions, behaviors, and relationships, which then have a negative influence on the caregivers’ ability to parent appropriately and family dynamics, which can, in turn, affect children’s outcomes. This study used data collected through the Family First Edmonton Project (FFE) to investigate: 1) the impact of economic disadvantage on caregiver mental health and family functioning and children’s social, emotional, and behavioral outcomes (internalizing, externalizing, behavioral symptoms, and adaptive skills); 2) the mediational effect of caregiver mental health and family functioning in the relationships between economic disadvantage and children’s outcomes; and 3) whether the relationships vary across groups that were included in the sample. The results reflected that economic disadvantage did not have the expected predictive impact on caregiver mental health, family functioning nor on children’s outcomes. The strongest predictor of children’s social, emotional, and behavioral outcomes was caregiver’s mental health, which was found consistently across groups and children’s outcomes. An exception was that caregiver’s mental health was not predictive of children’s adaptive skills in Canadian-Born Indigenous families. In the overall sample, there were small effects found between family functioning with children’s externalizing and internalizing problems but stronger relationships were found with behavioral symptoms and adaptive skills. Within represented groups, family functioning was a stronger predictor of children’s outcomes in Canadian-Born Indigenous and Canadian-Born Non-Indigenous Families, than for the Foreign-Born Immigrant and Refugee Families. For the Foreign-Born Immigrant families, family functioning had only predictive effects on children’s adaptive skills, whereas for Foreign-Born Refugees, family functioning was only predictive of children’s internalizing problems. This demonstrates that, for the two Canadian-Born groups, family functioning may have a wider range of influence on children’s outcomes than for Foreign-Born groups. These results demonstrate that regardless of economic situations, it is often factors within families that may exert the greatest effect on some children’s outcomes. Implications for research, intervention and policy are discussed.
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 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 | 0,002 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,003 | 0,001 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 ».