Perceived conflict in the couple and chronic illness management: Preliminary analyses from the Quebec Health Survey
Bibliographic record
Abstract
BACKGROUND: The quality of the relationship with the spouse/partner appears crucial among patients with multiple chronic conditions where illness management is complex and multifaceted. This study draws on data from the Quebec Health Survey (QHS) to examine, among patients with one or more chronic conditions, the relation between marital status, the perceived conflict with the spouse/partner, and what the patients do to manage their illness as well as how they perceive their health. METHODS: Data from the QHS 1998 were used. The sample included 7547 coupled adults who had one or more chronic health problems lasting more than 6 months. Independent variables included marital status, perceived conflict with the spouse/partner, and the number of chronic conditions. Illness management was defined broadly as a measure of the patient's efforts at self-care and an illness status indicator, including visits to the generalist and the specialist, the use of telephone health line in the last 12 months, self-rated general health, mental health, and a measure of psychological distress. Linkages between the independent variables and illness management were assessed for males and females separately with logistic regressions, while accounting for the survey sampling design and household clustering. RESULTS: Female patients who did not live with their partner and had never been married were more likely to report a negative perception of their general health and a higher psychological distress than those who were married. Perceived conflict with the partner was linked to a negative perception of mental health and a higher psychological distress among both men and women. Compared to patients with only one chronic condition, males who reported more than one chronic condition were more likely to have consulted a generalist prior to the survey and used the telephone health line, whereas females were more likely to have consulted a specialist. Both males and females with more than one chronic condition were more likely to have a negative perception of their general health and mental health. CONCLUSION: The study provides a useful preliminary measure of the importance of living arrangements and the quality of the couple relationship in chronic illness management broadly conceived as a measure of the patient's efforts at self-care and an illness status indicator. Results of this study prod us to examine more closely, within longitudinal designs, the influence of living arrangements and the presence of conflict in the couple on chronic illness management as well as the modifying effect of gender on these associations.
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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 | 0.000 |
| 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".