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Enregistrement W7024932120

Studies on aging and mental health in Canada

2023· dissertation· en· W7024932120 sur OpenAlexaboutno aff

Notice bibliographique

RevueUniversity Library (University of Saskatchewan) · 2023
Typedissertation
Langueen
DomainePsychology
ThématiqueMental Health Treatment and Access
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésBiopsychosocial modelMental healthSocioeconomic statusMental illnessSocial isolationPsychological interventionPublic healthIntervention (counseling)Population
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

ABSTRACT\nMental diseases among older adults are believed to contribute significantly to the disease burden in Canada and globally. Given the considerable increase in aging populations and the change in population compositions over the past decades, both trends and determinants for mental health status among older adults deserve to be studied further. To design effective public health intervention programs and policies, it is required therefore to establish the evidence that could serve as a foundation for interventions. The primary goal of this thesis is to get a deeper understanding of the risk factors, mediators, and trends in mental disorders among older adults in Canada using a wide range of population-based data sources and a variety of epidemiological and statistical approaches. The guiding theoretical framework is a transdisciplinary biopsychosocial model of mental illness which examines biological, psychological, and socio-environmental factors in the development of mental illness looking at these factors in isolation and at their interconnectedness. In this thesis, we look at socio-demographic and psychological factors. Some of the social and psychological factors in mental illness are potentially changeable and thus targets for intervention and prevention. \nThis thesis consists of seven chapters. The first introductory chapter describes the changes that have occurred in demographic and socioeconomic characteristics and the mental health of Canadian older adults in the past decades. The second chapter describes the study designs, data sources, and statistical analyses used in the following substantive chapters.\nIn the first substantive study (Chapter 3), we examined the changes in a variety of mental health indicators of older Canadians from 1978 to 2018 using a large set of repeated national cross-sectional surveys. The results of this study revealed that there was a slight decrease in the prevalence of psychological distress and a weak sense of belonging over the past 4 decades among older Canadians. Other mental health indicators, including frequency of consulted mental health professionals, self-reported diagnosed mood disorders, anti-depressant medication use, self-perceived poor mental health, and life dissatisfaction, all displayed significant increases over the past forty years. There seems to be a willingness to acknowledge having mental health problems. Gender differences were evident.\nThere are a variety of behaviors that have been associated with an increased prevalence of mental illness. Chapter 4, examines whether the relationship between the selected health risk behaviors (physical inactivity, alcohol consumption, and smoking) and their association with depression among Canadians 65+ born in eight cohorts between 1910-1914 to 1945-1949 have changed. We used pooled data drawn from 11 nationally representative health surveys conducted by Statistics Canada between 1994 and 2014. A Cochran-Armitage trend test for categorical outcomes and a log-binomial modeling for binary outcomes were used to estimate the risk ratios across cohorts. We found that physical inactivity and smoking were consistently associated with a significantly increased risk of depression among Canadian residents 65+, with smoking becoming more firmly connected to depression risk in more recent birth cohorts. In contrast, moderate alcohol use was associated with a decreased risk of depression, but that protective effect diminished over time and ceased in the most recent birth cohorts.\nThe third study (Chapter 5) analyzed the contributions of chronological aging, specific temporal (time) periods, and birth cohort effects on the trends in the major depressive episode (MDE) prevalence among Canadian seniors during the period 1994 to 2018 using data from national health surveys. Our findings showed the presence of strong chronological age and cohort effects and weaker period effects on the prevalence of late-life depression in Canadian seniors. In addition, we found that females 65+ were consistently more likely to be depressed than males 65+ and age exerts a greater effect on females’ probability of developing MDE than males. Our moderation analysis also indicated that lower levels of education significantly contributed to the higher rates of depression among cohorts born earlier in the 20th century.\nChapter 6, tests the associations and interactions between two protective factors and a negative risk factor on feelings of positive mental health and psychological distress among older Canadians. Using data from a large nationally cross-sectional mental health survey, our fourth substantive study (Chapter 6) investigated the complex mediating role of physical activities and social support both separately and combined in influencing the relationships between chronic disease and mental health among older Canadian adults. Our detailed analysis indicated that both physical activity and social support are significant partial mediators between chronic diseases and psychological distress as well as chronic diseases and positive mental health.\nA final chapter, Chapter 7, presents the conclusions derived from this research as well as comments on practical implications and directions for future research.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: Qualitatif
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,152
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,020
Tête enseignante GPT0,266
Écart entre enseignants0,246 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeQualitatif
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2023
Routes d'admission1
Résumé présentoui

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