Financial strain, social capital, and perceived health during economic recession: a longitudinal survey in rural Canada
Bibliographic record
Abstract
Although the health consequences of financial strain are well documented, less is understood about the health-protective role of social capital. Social capital refers to a sense of community embeddedness, which is in part reflected by group membership, civic participation, and perceptions of trust, cohesion, and engagement. We investigated whether perceptions of social capital moderate the relation between financial strain and health, both mental and physical. This longitudinal study surveyed adults in two communities in rural Ontario where significant job losses recently occurred. Data were collected on financial strain, social capital, perceived stress, symptoms of anxiety and depression, and physical health on three occasions over 18 months (N's = 355, 317, and 300). As expected, financial strain positively related to perceived stress, poor physical health and symptoms of anxiety and depression, whereas social capital related to less stress, better physical health, and fewer symptoms of anxiety and depression. Effects of financial strain on perceived stress and depressive symptoms were moderated by social capital such that financial strain related more closely to perceived stress and depressive symptoms when social capital was lower. The findings underscore the health-protective role of community associations among adults during difficult economic times.
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 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 | 0.001 | 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".