Were Perceptions of Physical Activity Impact on Mental Health Associated With Actual Mental Health During the Covid-19 Pandemic?
Bibliographic record
Abstract
Background: With the onset of the COVID-19 pandemic announced in March 2020, many studies reported deteriorating changes in physical, social, and mental wellbeing. Physical activity an established determinant of social and mental health, changed during the pandemic. This thesis examined the role of positive and negative perceptions of physical activity’s impact on mental health on severe mental distress during the COVID-19 pandemic. Objectives: The first objective was to determine if there was an association between the perceived impact of physical activity on mental health status and severe mental distress. The second objective was to determine whether this relationship varied over time as the COVID-19 pandemic progressed. Methods: Cross-sectional data from April 2021 to April 2022 collected by Mental Health Research Canada (MHRC) was used, involving 24,144 adult Canadian survey respondents across seven polls. The main exposure variable was the perception of physical activity impact on mental health (positive, negative, neutral), and the outcome variable of interest was mental health status corresponding to severe levels of mental distress. The exposure variable used an ordinal scale to assess perceptions. Severe levels of mental distress were measured using the PHQ-9 and the GAD-7, recoded to reflect severe symptoms of either. Logistic regression models were created to examine associations between the main study variables of interest while controlling for covariates. A stratified analysis of the final logistic regression model was conducted to examine findings by each survey poll. Results: Negative perceptions of physical activity impact on mental health were associated with higher odds of severe mental distress when compared to neutral perceptions, with effects modified by gender but not income (Men-high income: OR= 3.27, 95% CI = [2.25, 4.76], Men low income: OR= 3.10, 95% CI = [2.27, 4.22], Women-high income: OR= 1.87, 95% CI = [1.43, 2.45], Women-low income: OR= 1.88, 95% CI = [1.49, 2.38]). However, positive perceptions of physical activity impact on mental health were not associated with severe mental distress when compared to neutral perceptions for women.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".