Poverty and food insecurity of older adults living in social housing in Ontario: a cross-sectional study
Notice bibliographique
Résumé
BACKGROUND: Poverty and food insecurity have been linked to poor health and morbidity, especially in older adults. Housing is recognized as a social determinant of health, and very little is known about subjective poverty and food insecurity in the marginalized population of older adults living in subsidized social housing. We sought to understand poverty and food insecurity, as well as the risk factors associated with both outcomes, in older adults living in social housing in Ontario. METHODS: This was a cross-sectional study using data collected from the Community Paramedicine at Clinic (CP@clinic) program. A total of 806 adult participants residing in designated seniors' or mixed family-seniors' social housing buildings attended CP@clinic within 14 communities across Ontario, Canada. RESULTS: The proportion of older adults reporting poverty and food insecurity were 14.9 and 5.1%, respectively. Statistically significant risk factors associated with poverty were being a smoker (AOR = 2.38, 95% CI: 1.23-4.62), self-reporting feeling extremely anxious and/or depressed (AOR = 3.39, 95% CI: 1.34-8.62), and being food insecure (AOR = 23.52, 95% CI: 8.75-63.22). Statistically significant risk factors associated with food insecurity were being underweight (AOR = 19.79, 95% CI: 1.91-204.80) and self-reporting experiencing poverty (AOR = 23.87, 95% CI: 8.78-64.90). In those who self-reported being food secure, the dietary habits reported were consistent with a poor diet. CONCLUSION: The poverty rate was lower than expected which could be related to the surrounding environment and perceptions around wealth. Food insecurity was approximately twice that of the general population of older adults in Canada, which could be related to inaccessibility and increased barriers to healthy foods. For those who reported being food secure, dietary habits were considered poor. While social housing may function as a financial benefit and reduce perceived poverty, future interventions are needed to improve the quality of diet consumed by this vulnerable population.
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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) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| 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 ».