Pain and insomnia as risk factors for first lifetime onsets of anxiety, depression, and suicidality in adolescence
Bibliographic record
Abstract
ABSTRACT: Chronic pain and mental health problems have both been identified as public health emergencies and co-occur at high rates. This prospective, longitudinal investigation examined whether chronic pain status, pain-related symptoms (intensity, interference), pain catastrophizing, and insomnia severity predicted first lifetime onset of depressive and/or anxiety disorders as well as suicidality in a cohort of youth with a parental history of mood and/or anxiety disorders. Participants included 145 youth ( Mage = 13.74 years; 64% female) who completed structured diagnostic interviews at baseline and at 9- and 18-month follow-up to assess depressive and anxiety disorders as well as suicidality. Participants completed baseline questionnaires assessing depressive and anxiety symptoms, pain symptoms and characteristics, pain interference, pain catastrophizing, and insomnia severity. Approximately 25% of youth reported having chronic pain at baseline. Nearly half (47.3%) developed a depressive disorder (21.3%), anxiety disorder (15.7%), or both (10.3%), and 34% endorsed experiencing suicidality at follow-up. Increased pain interference, intensity, catastrophizing, and insomnia severity predicted increased likelihood of first lifetime onset of a depressive disorder at follow-up, over and above sex and baseline symptoms. Chronic pain at baseline was associated with the increased likelihood of onset of suicidality at follow-up. Increased pain intensity and interference at baseline predicted increased severity of suicidality at follow-up. Insomnia severity predicted increased likelihood of anxiety disorder onset. The presence of chronic pain and elevated pain-related symptoms and insomnia are premorbid risk factors for the development of significant mental health disorders and issues in youth.
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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 | 0.001 |
| 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".