Exploring T2D in the Hispanic Community: Insights from the Rio Grande Valley
Notice bibliographique
Résumé
Background: T2D affects 462 million people worldwide, with Hispanic Americans comprising 17% of those affected. This chronic disease disproportionately impacts the Hispanic population due to genetic, socioeconomic, and lifestyle factors, leading to severe complications like cardiovascular disease, kidney failure, and cognitive decline. Given the growing prevalence of diabetes in this community, understanding the unique challenges faced by Hispanics is essential. This study investigates factors contributing to T2D among Hispanics to develop more effective and culturally tailored prevention and treatment strategies. Material and Methods: This study was conducted in the Rio Grande Valley (RGV), a region with a significant Hispanic population, focusing on individuals aged 45+. Participants were recruited from Brownsville, Harlingen, and Edinburg, TX. Data on demographics, medical history, lifestyle, cognitive impairment (using the Montreal Cognitive Assessment), and familism variables were collected. Multivariable regression models compared familism and other variables (e.g., sociodemographic factors, lifestyle, cognitive scores) across groups. Factor analysis of 18 familism variables identified key components for further analysis. Saliva samples were collected for genetic studies, and SNP genotyping was performed using the TaqMan assay. Results: Among 333 participants, 81 were diagnosed with T2D. The prevalence of diabetes in the RGV Latino population (42.9%) mirrored CDC reports (45%). Findings showed that T2D patients were more likely to have cognitive impairment (P<0.001). In terms of APOE allele distributions, 11.4% carried the APOE e4 allele, 57.7% carried the e3 allele, and none carried the e2 allele. Principal component analysis revealed a 4-factor model of familism provided the best fit. Notably, factor 4 was negatively associated with diabetes (t=-3.12, P=0.003), indicating high levels of familism correlated with T2D prevention. Conclusion: This study highlights the disproportionate impact of T2D on the Hispanic population in the RGV and explores the association of familism with T2D prevention. Results underscore the importance of cultural values in mitigating diabetes risk. Key factors such as low physical activity, poor dietary habits, high stress, and smoking were significant contributors to T2D prevalence. Culturally tailored interventions focusing on education, stress management, and lifestyle modifications are essential. Community-based programs promoting physical activity,healthy diets, and stress reduction can effectively reduce the burden of diabetes and its complications in this population. Future research should replicate these findings in larger samples, particularly among females and those with lower education levels, to ensure consistent and comprehensive outcomes.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,003 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,004 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 tête enseignante, 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 ».