The impact of chronic pain on patients and spouses: Consequences on occupational status, distribution of household chores and care‐giving burden
Bibliographic record
Abstract
BACKGROUND: Informal care-giving by spouses has become frequent in chronic pain settings. However, the impact of pain on occupational, functional and health outcomes in spouses has not been systematically investigated. AIMS: The goal of the present study was to examine the impact of pain on both patient and spousal outcomes. METHODS: In the present study, the impact of chronic pain on 114 heterosexual dyads was explored (patients: 59% females, average age = 57.81 years, SD = 11.85; spouses: 41% females, average age = 57.32 years, SD = 12.15). RESULTS: Overall, both patients and spouses reported important consequences of pain on outcomes, including occupational status distribution of household chores and marital satisfaction). Almost 52% of spouses indicated a high-to-severe burden. A multivariate model with spouse and patient factors accounted for 37.8% of the variance of this burden. In the model, patient disability (β = 0.36, p = .002), spouses' change in occupational status (β = 0.26, p = .002) and spousal perception of marital adjustment (β = -0.36, p < .001) were uniquely associated with burden. CONCLUSIONS: The results indicate that the impact of chronic pain should be evaluated both for patients and spouses and point to patient and spouse factors that might contribute to spousal burden, which might help guide family interventions in a more effective manner. SIGNIFICANCE: Research has shown that chronic pain poses a significant burden on individuals, which increases their reliance on others for assistance. However, the burden of informal care-giving assumed by spouses of patients with chronic pain has not been systematically investigated. This study offers new insights into the impact of chronic pain on patients and their spouses, which might provide empirical foundation for the development of new avenues for intervention aimed at promoting adjustment in patients with chronic pain and spouses who act as informal caregivers.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".