Bibliographic record
Abstract
Extensive research has demonstrated the negative impact of food insecurity on mental health; however, the mediating and moderating mechanisms underlying this relationship remain underexplored. Using data from the 2022 National Health Interview Survey (N = 25,703), this study investigates whether sleep problems mediate the relationship between food insecurity and mental health outcomes-specifically depressive and anxiety symptoms-and whether marital status moderates this relationship. The findings indicate that sleep problems partially mediate the effects of food insecurity on depressive and anxiety symptoms. In addition, the impact of sleep problems on these mental health outcomes is less severe among married individuals compared to their unmarried counterparts. However, marital status does not moderate the relationship between food insecurity and sleep problems, nor the relationship between food insecurity and mental health outcomes. The analysis of conditional indirect effects reveals a more pronounced mediation effect of sleep problems among unmarried individuals. These results suggest a partial protective role of marriage in mental health and underscore the importance of addressing sleep problems, particularly among unmarried individuals, in understanding the interplay between food insecurity, sleep problems, and mental health.
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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 | 0.025 | 0.027 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.006 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.004 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.014 | 0.001 |
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".