Aging at the intersection of race and gender: Investigating the health and wellbeing of aging Black women in Canada
Notice bibliographique
Résumé
Inequities in health systematically put groups of people who are socially disadvantaged due to being poor, female, a particular age and/or a member of a disenfranchised racial group at further disadvantage. Black people comprise 3% of Canada’s population and are more likely to be exposed to risk but less likely to seek preventative care. Older Black women face further disadvantages because of multiple intersecting factors related to their race, gender, and age. This dissertation presents findings from a sequential mixed methods study conducted to understand the health, wellbeing, and aging experiences of older Black women aged 55 and older in Canada. The study design and data analysis were informed by two theoretical frameworks: intersectionality and the life course perspective. First, using data from the Canadian Community Health Survey (CCHS), several multilevel logistic regression models were used to establish and compare association between racial identity and inequalities in hypertension, diabetes, cancer, chronic obstructive pulmonary disease (COPD), asthma, self-rated health, and self-rated mental health between Black and White men and women aged 55 and older. Second, qualitative phenomenological interviews were conducted simultaneously to gain a deeper understanding of the health and wellbeing of older Black women and factors that have influenced their health and wellbeing across their life course. These were factors that could not be deeply explored through the CCHS. Twenty-seven semi-structured interviews were conducted with Black women aged 55 and older living in the Greater Toronto Area. Following the conclusion of the first two phases, a thematic content analysis was completed for eight policy documents to determine whether and how the need for adequate housing among older Black women was addressed. These needs were identified in the semi-structured interviews conducted in the previous qualitative phase of the study. Overall, this study demonstrated that there are opportunities for additional research to understand the diverse aging experiences of women across their life course. It also demonstrated the opportunities for the use of intersectionality in mixed methods studies. Doing so will bridge an evidence gap as well as contribute to addressing health and social programming needs among understudied 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 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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| 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 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 ».