The impact of COVID-19 on the mental health of older sexual minority Canadians in the CLSA
Bibliographic record
Abstract
PURPOSE: Limited research has examined the mental health impacts of the COVID-19 pandemic on sexual minority (i.e., lesbian, gay, bisexual; LGB) older adults using a longitudinal approach. This study aimed to compare the mental health trajectories (i.e., reported symptoms of depression and loneliness) of LGB and heterosexual participants across four time points. METHODS: Data were drawn from the Canadian Longitudinal Study on Aging (CLSA), an ongoing study on the experiences of adults between 45 to 85 at Baseline. Data included for analysis were collected at Baseline (2011-2015), Follow-up 1 (2015-2018), and two time points during the COVID-19 pandemic (April-December 2020). We used General Estimating Equations (GEE) to model changes in depression symptoms (CESD-10; n = 47,728) and loneliness (UCLA 3-item loneliness scale; n = 41,698), adjusting for covariates (i.e., age, sex, race/ethnicity, education, and income). RESULTS: Results indicated that LGB participants reported more symptoms of depression (B = .595, p < .001) and loneliness (B = .313, p < .001) in comparison to heterosexual peers across the four time points. Mean depression and loneliness scores increased regardless of sexual orientation. CONCLUSION: This study highlighted the detrimental effects of the pandemic on the mental health of older adults regardless of sexual orientation. It also showed that LGB older adults experienced more loneliness and depression symptoms than heterosexual older adults both before and during the pandemic. Understanding diverse identities, needs, and disparities in mental health is critical to promoting equitable aging experiences for everyone.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".