Social determinants of health among Canadian inmates
Bibliographic record
Abstract
Purpose International studies indicate that offenders have higher rates of infectious diseases, chronic diseases, and physical disorders relative to the general population. Although social determinants of health have been found to affect the mental health of a population, less information is available regarding the impact of social determinants on physical health, especially among offenders. The purpose of this paper is to examine the relationship between social determinants and the physical health status of federal Canadian offenders. Design/methodology/approach The study included all men admitted to federal institutions between 1 April 2012 and 30 September 2012 ( n=2,273) who consented to the intake health assessment. Logistic regression analyses were used to explore whether age group, Aboriginal ancestry, and each of the individual social determinants significantly predicted a variety of health conditions. Findings The majority of men reported having a physical health condition and had experienced social determinants associated with adverse health outcomes, especially men of Aboriginal ancestry. Two social determinants factors in particular were consistently related to the health of offenders, a history of childhood abuse, and the use of social assistance. Research limitations/implications The study is limited to the use of self-report data. Additionally, the measures of social determinants of health were indicators taken from assessments that provided only rough estimates of the constructs rather than from established measures. Originality/value A better understanding of how these factors affect offenders can inform strategies to address correctional health issues and reduce the impact of chronic conditions through targeted correctional education and intervention programmes.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.000 | 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".