Association of Pain and Depression in Those With Chronic Low Back Pain
Bibliographic record
Abstract
OBJECTIVES: One theoretical model suggests that the pathway from pain to depression is through the disruption of social and relationship function. This study sought to test this hypothesis by considering the mediating effect of sexual functioning on the association between pain intensity and depressive symptoms in sexually active patients with chronic low back pain. MATERIALS AND METHODS: This was a cross-sectional study on consecutive patients attending a chronic pain management clinic in Iran. All measures (pain intensity, depressive symptoms, sex-specific sexual function) were obtained by a self-report questionnaire, completed by patients while attending the clinic. Sobel testing, including bias-corrected bootstrapping, was used to produce 95% confidence intervals (95% CI) to test the mediating effect of sexual function. RESULTS: A total of 742 patients (351 men, 391 women) took part in this study. Both the male and female mediation models showed a significant association between pain intensity and depressive symptoms, and both the models were significantly mediated by sexual functioning (P<0.001). Effect size calculations show a medium to large effect on male patients (κ 0.23; 95% CI, 0.15-0.39) and a medium effect for female patients (κ 0.16; 95% CI, 0.06-0.28). Both the models accounted for over 50% of the variance in depressive symptoms (model R). DISCUSSION: This study has shown that sexual functioning significantly mediates the relationship between pain intensity and depressive symptoms in sexually active patients with chronic low back pain. Clinicians may wish to consider the assessment of sexual functioning within this patient group and align treatments that address sexual dysfunction and general pain management.
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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 | 0.003 |
| 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 | 0.001 |
| 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".