Impact of the 2008 global financial crisis on the health of Canadians: repeated cross-sectional analysis of the Canadian Community Health Survey, 2007–2013
Bibliographic record
Abstract
BACKGROUND: Despite a clear impact on the Canadian economy, little is known about the subsequent health impacts of the 2008 global financial crisis (GFC) in this country. This study fills this gap in knowledge by conducting a repeated cross-sectional analysis of the Canadian Community Health Survey (CCHS). METHODS: Data from 7 cycles (2007-2013) of the CCHS were combined to form a large data set representative of the Canadian working-age population (15-64 years) residing in 1 of 10 provinces. A logistic regression model was used to determine whether exposure to various periods of the GFC resulted in increased odds of reporting poor mental health. Exposure was categorised into 4 periods based on political and economic indicators, as follows: precrisis period (baseline), initial crisis period, stimulus period and austerity period. Other outcomes investigated included: anxiety disorders (AD), mood disorders (MD), poor physical health and health-related behaviours (heavy alcohol drinking (HAD) and decreased fruit/vegetable consumption (FVC)). RESULTS: A significant increased odds of reporting poor mental health was observed during the austerity period compared with the precrisis period (OR=1.26 (1.16 to 1.32)); findings remain significant when adjusted for sex, marital status and education. Exposure to the austerity period was also significantly associated with increased odds of reporting AD, MD, HAD and decreased odds of FVC. No significant associations were observed for the poor self-perceived physical health variable. CONCLUSIONS: Statistically significant associations were observed between several negative health outcomes and the austerity period when compared with the precrisis period. Austerity has been linked to worsening health in other studies and represents an example of how the policy response can have greater detrimental impact on health than the financial crisis itself.
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 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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.008 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".