Perceptions of Increases in Cost of Living and Psychological Distress Among Older Adults
Bibliographic record
Abstract
<b>Objectives:</b> This article examines whether older adults’ perceptions of an increase in their cost of living during a time of rapid inflation are associated with multiple aspects of psychological distress, as well as whether mastery buffers these associations. <b>Methods:</b> Data were derived from a two-wave longitudinal survey of older adults gathered in 2021 and 2022 (<i>N</i> = 4,010). Multiple regression models examined symptoms of depression, anxiety, and anger. <b>Results:</b> Perceptions of moderate or large increases in cost of living were associated with higher levels of distress at follow-up. Taking baseline financial strain, mastery, and psychological distress into account weakened these associations, but perceptions of a large increase in cost of living were still substantially linked with anger and anxiety. Mastery also buffered associations with anxiety and anger. <b>Discussion:</b> Macroeconomically derived adversities can shape anxiety and anger in later-life, but these mental health consequences fall more heavily on individuals possessing lower levels of mastery.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 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".