1108 Associations Between Insomnia And Anxiety Symptoms: Which Elements Of Insomnia Are Associated With Which Elements Of Anxiety?
Bibliographic record
Abstract
Abstract Introduction It is still not clear which aspects of insomnia are associated with various aspects of anxiety problems. Knowing this could better guide treatment of insomnia comorbid with anxiety. Methods Data from the Sleep and Healthy Activity, Diet, Environment, and Socialization (SHADES) study were used, including N=1003 adults age 22-60. All participants completed the Insomnia Severity Index (ISI) and the GAD7 anxiety questionnaire. The ISI was divided into 3 sections, based on prior work: SLEEP symptoms (difficulty sleeping), DAYTIME symptoms (difficulty functioning), and PERCEPTION symptoms (dissatisfaction). GAD7 items included anxiety level, loss of control, worry about many things, difficulty relaxing, restlessness, irritability, and fear. Logistic regression analyses examined each symptom, with each component of the ISI as predictor, as well as age, sex, race/ethnicity and education as covariates. Results SLEEP symptoms were independently associated with control (OR=1.09, p=0.03), many worries (OR=1.1, p=0.017), restlessness (OR=1.1, p=0.009), and irritability (OR=1.1, p=0.04). DAYTIME symptoms were independently associated with anxiety level (OR=1.3, p<0.0005), control (OR=1.2, p<0.0005), many worries (OR=1.3, p<0.0005), difficulty relaxing (OR=1.2, p=0.004), restlessness (OR=1.3, p=0.001), and irritability (OR=1.2, p<0.0005). PERCEPTION symptoms were uniquely, independently associated with anxiety level (OR=1.1, p=0.03), control (OR=1.2, p=0.001), many worries (OR=1.2, p=0.001), difficulty relaxing (OR=1.4, p<0.0005), irritability (OR=1.2, p=0.018), and feelings of fear (OR=1.2, p=0.002). Conclusion The DAYTIME and PERCEPTION symptoms of insomnia were strongly related to anxiety symptoms. Current treatments for insomnia focus mainly on improving sleep. Future research should test the hypothesis that treating daytime symptoms of insomnia may aid patients with comorbid anxiety. Support The SHADES study was funded by R21ES022931. Dr. Grandner is supported by R01MD011600.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| 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".