Stressors and perceived consequences of the COVID-19 pandemic among older adults: a cross-sectional study using data from the Canadian Longitudinal Study on Aging
Bibliographic record
Abstract
BACKGROUND: The indirect consequences of the COVID-19 pandemic in older adults, such as stress, are unknown. We sought to describe the stressors and perceived consequences of the COVID-19 pandemic on older adults in Canada and to evaluate differences by socioeconomic factors. METHODS: We conducted a cross-sectional study using data from the Canadian Longitudinal Study on Aging COVID-19 Exit Questionnaire (September-December 2020). A 12-item checklist was used to assess stressors (e.g., income loss, separation from family) experienced during the pandemic, and a single question was used to measure perceived consequences. We used a generalized linear model with a binomial distribution and log link to estimate prevalence ratios and 95% confidence intervals (CIs) for the association between socioeconomic factors, stressors and perceived consequences. RESULTS: Among the 23 972 older adults (aged 50-96 yr) included in this study, 17 977 (75.5%) reported at least 1 stressor during the pandemic, with 5796 (24.4%) experiencing 3 or more stressors. The consequences of the pandemic were perceived as negative by 23 020 (63.1%) participants. Females were more likely to report most stressors than males, such as separation from family (adjusted prevalence ratio 1.31, 95% CI 1.28-1.35). The perceived consequences of the pandemic varied by region; residents of Quebec were less likely to perceive the consequences of the pandemic as negative (adjusted prevalence ratio 0.87, 95% CI 0.84-0.91) than those of the Atlantic provinces. INTERPRETATION: These findings suggest that older adults across Canada experienced stressors and perceived the pandemic consequences as negative, though stressors and perceptions of consequences varied by socioeconomic factors and geography, highlighting inequalities. Future research will be needed to estimate the impact of stress during the pandemic on future health outcomes.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".