Correlates of partner and family violence among older Canadians: a life-course approach
Bibliographic record
Abstract
INTRODUCTION: Knowledge about individual and interpersonal correlates of violence in Canadian seniors is limited. This study identifies correlates of current and past violence by intimate partner and family member(s) in community-dwelling Canadian seniors, while accounting for childhood adverse circumstances. METHODS: We performed logistic regression analysis of baseline data from a longitudinal study of community-dwelling individuals aged 65 to 74 years and living in Kingston (Ontario) and Saint-Hyacinthe (Quebec). Domestic violence was assessed using the Hurt- Insult-Threaten-Scream (HITS) screening tool. Odds ratios (ORs) are reported with 95% confidence intervals (CIs). RESULTS: Current violence of a psychological nature was reported by 18% of the sample. Women were at greater risk of current and lifetime violence perpetrated by a family member (current violence: adjusted OR = 1.83; 95% CI: 1.02-3.30) as well as experiencing violence from their intimate partner in their lifetime than were men (adjusted OR = 2.48; 95% CI: 1.40-4.37). Risk factors have accumulated over the life course that were found to be consistently associated with both current and lifetime violence included having witnessed violence at home in childhood (lifetime violence by family member: adjusted OR = 9.46; 95% CI: 5.11-17.52), as well as poor quality of relationships with intimate partners, family and friends. CONCLUSION: Our research documents the ongoing impact of early adversity on subsequent partner and family violence in Canada. Findings identify some preventable factors associated with current psychological violence and past violence among community dwelling Canadian seniors.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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".