Financial Strain and Psychological Distress Among Middle-Aged and Older Adults: A Moderated Mediation Model
Bibliographic record
Abstract
This study investigates the association between financial strain and psychological distress among middle-aged and older adults, exploring how this association is mediated by sleep problems and moderated by marital status. A subsample of 12,095 adults aged 50 and older was selected from the 2018 National Health Interview Survey. Results showed that financial strain was associated with higher psychological distress, and sleep problems partially mediated this association. Marital status moderated the association between sleep problems and psychological distress, and between financial strain and psychological distress, but not between financial strain and sleep problems. These findings partially support the stress-buffering role of marriage. The study offers valuable insights into the complex relationship between financial strain, sleep problems, marital status, and psychological distress among middle-aged and older adults in the United States, highlighting the need for interventions targeting financial stressors and sleep problems, especially for unmarried individuals, to improve mental health outcomes in this population.
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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 | 0.006 | 0.020 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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".