Exploring Paradoxical Advantages of Latin Americans in Canada: Secondary Analytic Expositions of Contextualized Resiliencies and Vulnerabilities
Notice bibliographique
Résumé
The United States (US) has an extensive body of literature on racial health disparities, highlighting the significant impact of race as a social determinant of health. There is a limited amount of research on health inequalities in Canada. Of particular interest is the Latin American population, one of the fastest growing ethnic minority groups in Canada and the US. Literature on Latin American health and mental health indicates significant advantages in diverse morbidity and overall mortality, despite significant risk factors associated with lower socioeconomic status, low educational attainment, and discrimination. The Hispanic Health Paradox (HHP) suggests that Latin Americans and their culture may possess certain protective factors that mitigate the negative impact of lower socioeconomic status on health and mental health (Markides, 1983). This dissertation aims to examine the existence of the HHP in a Canadian sample using secondary data from four cycles of the Canadian Community Health Survey (2015 to 2018). Two hypotheses were tested 1) The HHP will appear in Latin Americans in Canada as demonstrated by their equal to or better than expected health and mental health outcomes and by lower health care utilization compared to non-Latin American whites (NLAW) and other racialized groups across ten outcomes: self-rated health, cancer, heart disease, diabetes, hypertension, self-rated mental health, anxiety disorder, mood disorder, health care including mental health care utilization; 2) Latin American ethnicity will interact with gender, age, income, education, and immigration to potentiate the protections afforded men, older individuals, those with low incomes, those with low education, and those who have most recently emigrated to Canada. These were systematically replicated across the same 10 measures listed under Hypothesis 1. Multivariate logistic regression analyses were conducted with the following samples: Latin Americans (1,799), NLAW (168,225), and other racialized groups (33,730). Results found that the first hypothesis was supported across all ten outcomes meaning that Latin Americans had equal or better than expected odds of health, mental health, and health care compared to NLAW. This was also true in most outcomes when compared to other racialized groups. Much supportive evidence was also found regarding important interactions across all ten outcomes, indicating that Latin Americans are not a homogenous people. Of the 50 interactions tested, 35 were statistically significant, 33 providing at least some evidence in the hypothesized direction, and of these 12 provided strong, unequivocal support. The strongest and most significant support for the Latin American health paradox in Canada was found among those who most recently emigrated to Canada and among those with relatively low incomes. The results from the present study can be used to expand our current knowledge of Latin American health, mental health, and health care utilization beyond the US. Moreover, it can be used to improve our understanding of the inter and intragroup differences of Latin American people—one of the fastest growing minority groups in North America. The findings of this study can contribute to our understanding of Latin American health, mental health, and healthcare utilization in Canada and beyond. These results may also help us better understand the diversity within the Latin American population, which is one of the fastest growing minority groups in North America. As social workers are increasingly responsible for providing services to a diverse population, it is important to have a comprehensive understanding of the unique challenges and strengths of different groups. Further, with the increased demand of providing empirically supported services to a growing diverse population, this field’s competency will remain limited as long as knowledge and intervention methods rely solely on research done with the mainstream groups and cultures. Thus, this study highlights the importance of expanding our knowledge and intervention methods beyond the mainstream culture to better serve minority populations.
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 | 0,003 | 0,008 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,004 | 0,007 |
| Études des sciences et des technologies | 0,011 | 0,002 |
| Communication savante | 0,003 | 0,001 |
| Science ouverte | 0,002 | 0,004 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 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 ».