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Record W7024932120

Studies on aging and mental health in Canada

2023· dissertation· en· W7024932120 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity Library (University of Saskatchewan) · 2023
Typedissertation
Languageen
FieldPsychology
TopicMental Health Treatment and Access
Canadian institutionsnot available
Fundersnot available
KeywordsBiopsychosocial modelMental healthSocioeconomic statusMental illnessSocial isolationPsychological interventionPublic healthIntervention (counseling)Population
DOInot available

Abstract

fetched live from 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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.152
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.020
GPT teacher head0.266
Teacher spread0.246 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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