Psychological Wellbeing and Life Satisfaction among Chinese Older Immigrants in Canada across the Early and Late Stages of the COVID-19 Pandemic
Bibliographic record
Abstract
OBJECTIVES: This study compared the psychological wellbeing, life satisfaction, and perceived social support in Chinese older immigrants living in Canada between the early (i.e., Wave 1: September-November 2020) and late (i.e., Wave 2: January-February 2023) stages of the COVID-19 pandemic. Additionally, it assessed perceived social support from family, friends, or others as predictors for psychological wellbeing and life satisfaction in this population. METHODS: These questions were addressed with a cross-sectional survey design with two independent samples at Wave 1 (n = 171) and Wave 2 (n = 191), respectively. RESULTS: The results revealed lower levels of psychological wellbeing, life satisfaction, and perceived social support in Wave 2 compared to Wave 1. The hierarchical regression models identified social support from friends (but not from family or others) as a significant predictor for psychological wellbeing and life satisfaction. Additionally, a higher level of income and being a male predicted better psychological wellbeing. A higher level of income and a lower level of education predicted greater life satisfaction. CONCLUSIONS: The findings suggest a deterioration in psychological wellbeing and life satisfaction from the early to late stages of the pandemic and highlight the protective effect of social support from friends among Chinese older immigrants.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".