Predicting family health and well‐being after separation from an abusive partner: role of coercive control, mother's depression and social support
Bibliographic record
Abstract
AIMS AND OBJECTIVES: Drawing on the Strengthening Capacity to Limit Intrusion theory, we tested whether intrusion (i.e. unwanted interference from coercive control, custody and access difficulties and mother's depressive symptoms) predicted family health and well-being after separation from an abusive partner/father, and whether social support moderated intrusion effects on family health and well-being. BACKGROUND: Experiences of coercive control and the negative consequences related to those experiences have been documented among women who have separated from an abusive partner. DESIGN: We conducted a secondary analysis of data from 154 adult, Canadian mothers of dependent children who had separated from an abusive partner and who participated in Wave 2 of the Women's Health Effects Study. METHODS: We used hierarchical multiple regression to test whether intrusion predicts family health and well-being as well as whether social support moderated this relationship. RESULTS: Families were found to experience considerable intrusion, yet their health and well-being was similar to population norms. Intrusion predicted 11·4% of the variance in family health and well-being, with mother's depressive symptoms as the only unique predictor. Social support accounted for an additional 9% of explained variance, but did not buffer intrusion effects on family health and well-being. CONCLUSIONS: Although women had been separated from their abusive partners for an average of 2·5 years, the majority continued to experience coercive control. On average, levels of social support and family functioning were relatively high, contrary to public and academic discourse. RELEVANCE TO CLINICAL PRACTICE: In working with these families postseparation, nurses should approach care from a strength-based perspective, and integrate tailored assessment and intervention options for women and families that address both depression and social support.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".