Prevalence of Chronic Pain and Its Association with Depression in Adult Patients Referring to Health Centers in Yazd
Bibliographic record
Abstract
[1] Prevalence and correlates of suicidal thoughts and suicide attempts in people prescribed pharmaceutical opioids for ... [2] Chronic pain in the Japanese communityprevalence, characteristics and impact on ... [3] Relationship between depression and coping strategies in chronic back ... [4] Ethnic differences in the association between depression and chronic pain: Cross sectional ... [5] Depression and pain comorbidity: A literature ... [6] Chronic pain and comorbid mental health conditions: Independent associations of posttraumatic stress disorder and depression with pain, disability, and ... [7] Association of traumatic brain injury with chronic pain in Iraq and Afghanistan veterans: Impact of comorbid mental health ... [8] The relationship between chronic pain, social support, and depression in ... [9] Pilot feasibility study of a brief, tailored mobile health intervention for depression among patients ... [10] Understanding the link between depression and ... [11] Longitudinal associations between depression, anxiety, pain, and pain-related disability in chronic pain ... [12] Observing the effects of mindfulness-based meditation on anxiety and depression in chronic pain ... [13] The effectiveness of acceptance and commitment therapy (ACT) on the rate of chronic pain and pain catastrophizing in women with chronic low ... [14] The roles of pain coping strategies in adjustment to chronic ... [15] Comparing the role of psychological ... [16] Validation of depression anxiety and stress scale (DASS-21) for an ... [17] The depression anxiety stress scales (DASS): Normative data and latent structure in a large ... [18] Effects of music therapy on anxiety, stress and depression of patients undergoing ... [19] Correlation between visual analogue scale and short form of McGill questionnaire in patients with chronic low ... [20] Chronic pain, depression, and quality of life: Correlations and predictive value of ... [21] Depression: An important factor associated with disability among patients with chronic low ... [22] Comorbidity of chronic pain & depression and its treatment ... [23] Self-reported depression, anxiety and evaluation of own pain in clinical sample of patients with different location ... [24] Exploring the relationship between spirituality, coping, and ... [25] Integrating psychosocial and behavioral interventions to achieve optimal rehabilitation ...
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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 | 0.003 | 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".