Household Food Insecurity Narrows the Sex Gap in Five Adverse Mental Health Outcomes among Canadian Adults
Bibliographic record
Abstract
The sex gap (i.e., the significant difference in an outcome between men and women) in the occurrence of a variety of mental health conditions has been well documented. Household food insecurity has also repeatedly been found to be associated with a variety of poor mental health outcomes. Although both sex and household food insecurity have received attention individually, rarely have they been examined together to explore whether or how these indicators of two social locations interact to impact common mental health outcomes. Using a pooled sample (N = 302,683) of the Canadian Community Health Survey (2005⁻2012), we test whether sex modifies the relationship between household food insecurity assessed by the Household Food Security Survey Module and five adverse mental health outcomes, controlling for confounding covariates. Although the sex gap was observed among food secure men versus women, males and females reporting any level of food insecurity were equally likely to report adverse mental health outcomes, compared with those reporting food security. Therefore, household food insecurity seems to narrow the sex gap on five adverse mental health outcomes.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".