Consequences of Financial Strain for Psychological Distress among Older Adults: Examining the Explanatory Role of Multiple Components of the Self-Concept
Bibliographic record
Abstract
Guided by a sociological perspective on mental health encapsulated in a stress process perspective, the authors examine the role of mastery, self-esteem, and mattering in explaining how financial strain is associated with symptoms of depression, anxiety, and anger in older adults. Analyses focus on the Caregiving, Aging, and Financial Experiences study, a national longitudinal survey of Canadian older adults conducted in the fall of 2021 and 2022 ( n = 3,977). Financial strain is associated with greater psychological distress across outcomes, but most strongly with anxiety. Although financial strain depletes mastery, self-esteem, and mattering, only mastery and self-esteem act as mediators between financial strain and psychological distress, with mastery predominant. This research suggests that a sociological perspective on stress and mental health can inform efforts to enhance the well-being of an aging population by identifying how reinforcements to the self-concept may truncate the consequences of financial challenges for psychological distress in later life.
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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 | 0.003 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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".