Higher Resident Neuroticism Is Specifically Associated With Elevated State Cancer and Heart Disease Mortality Rates in the United States
Bibliographic record
Abstract
Relations between state-aggregated responses of 619,397 residents to the neuroticism items of the Big Five Inventory and 2005-2007 age-adjusted state cancer, heart disease, total all-cause, other-disease, and non-disease mortality rates for the 50 states were examined. Partial correlations controlling for four state demographic variables and three risk variables showed neuroticism correlated significantly only with cancer mortality (.34) and heart disease mortality (.31). Hierarchical regression with demographic variables entered first, neuroticism second, and risk variables last showed neuroticism accounted for another significant 7.6% of cancer mortality variance and an additional significant 4.6% of heart disease mortality variance. Significant βs of .28 and .30, respectively, showed higher neuroticism was associated with higher cancer and heart disease mortality when all seven demographic and risk variables were controlled. Overall, the results show resident neuroticism is related to state cancer and heart disease mortality rates but not to total all-cause, other-disease, or non-disease mortality rates.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".