1078 Sleep Problems In Posttraumatic Stress Disorder (PTSD) In A Nationally Representative Us Sample Before And After Controlling For Comorbid Depression: Results From A Nationally Representative US Sample
Bibliographic record
Abstract
Abstract Introduction The impact of psychiatric comorbidities on sleep disturbances in PTSD have been studied in the National Comorbidity Survey (NCS)(Leskin GA, 2002) and the NCS-replication (Lauterbach D, 2011) studies. We examined sleep problems in PTSD before and after controlling for comorbid depressive disease, in the National Ambulatory Medical Care Survey(NAMCS) and National Hospital Ambulatory Medical Care Survey (NHAMCS) which use a multi-stage probability design to collect nationally representative data on health care visits. Methods We examined patient visits(1995-2015) from NAMCS/NHAMCS with a PTSD diagnosis (ICD-9-CM 309.81). Both NAMCS/NHAMCS allow ≥3 reasons for visit(RFV) and ≥3 physician-assigned diagnoses (using ICD9-CM codes). The following variables were created: ‘Insomnia’: ICD9-CM codes 307.41,307.42,780.51,RFV 11351; ‘Sleep Disturbance’(SD): ICD-9CM codes 780.5, 780.50, 780.59; ‘Nightmares’: ICD9-CM code 307.4, RFV 11353; Obstructive sleep apnea (OSA): ICD-CM codes 327.23,780.57, RFV 11355, checklist; and ‘Depression’: ICD9-CM codes 296.2, 296.3, 296.82, 311, 296.20-296.36, 300.4. Results There were an estimated 37,262,245±3,203,047 (unweighted count or UWC=3,995; 66.4%±1.8% female;.mean±age: 40.39 ± 0.56 years; ‘Depression’ was comorbid with 37.7%±1.5% cases) PTSD patients visits. All sleep variables accounted for 11.2%±1.2% (UWC=303) of PTSD visits with their individual frequencies as follows: ‘Insomnia’6.5%±1.1%(UWC=153); ‘Nightmares’: 1.9%±0.4%(UWC=74); ‘SD’: 2.0%±0.3%(UWC=67); OSA: 1.3%±0.3%(UWC=27). Logistic regression analysis using PTSD versus all other patient visits as dependent variable revealed the following sleep predictors of PTSD after controlling for age and sex and: (i) before controlling for ‘Depression’: ‘Insomnia’: OR=7.16, (95%CI 4.78-10.73); ‘SD’: OR=4.43(95%CI 2.55-7.71); ‘Nightmares’:OR=104.29 (95%CI56.65-192.02); ‘OSA’: OR=1.71(95%CI 0.94-3.12); and (ii) after controlling for ‘Depression’: ‘Insomnia’: OR=2.88 (95%CI 1.87-4.42); ‘SD’: OR=2.84 (95%CI 1.73-4.67); and ‘Nightmares’: OR=58.33(95%CI 26.39-128.94); and ‘OSA’: OR=2.02(95%CI 1.14-3.57). Conclusion In a nationally representative sample, the association of PTSD with insomnia, sleep disturbance and nightmares remained significant, albeit decreased, after controlling for the confounding effect of comorbid depression; however the association of PTSD with OSA emerged only after the effect of depression was controlled for. Support None
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".