0420 Disassembling Insomnia Symptoms and their Associations with Depressive Symptoms in a Community Sample: The Differential Role of Sleep Symptoms, Daytime Symptoms, and Perception Symptoms of Insomnia
Bibliographic record
Abstract
Insomnia and depression are closely related. However, few studies have investigated whether certain insomnia symptoms differentially relate to certain depressive symptoms. The present study aimed to examine relationship between three types of insomnia symptoms (sleep symptoms, daytime symptoms, and perception symptoms) and specific symptoms of depression. Participants were 1003 community-based adults aged 22-60 from the Philadelphia area who participated in the Sleep and Healthy Activity, Diet, Environment, and Socialization (SHADES) study. Insomnia symptoms were represented by scores of sleep symptoms, daytime symptoms and perception symptoms, derived from the Insomnia Severity Index (ISI). Depression symptoms were assessed with the items of the Patient Health Questionnaire 9 (PHQ-9). A Confirmatory Factor Analysis (CFA) supported the three-factor model based on ISI data. Binary logistic regressions examined independent associations between the three insomnia symptom types and individual depression symptoms. Sleep symptoms were more strongly associated with physiological aspects of depressive symptoms (appetite symptoms, psychomotor symptoms, and suicidal ideation; OR ranged from 1.12 to 1.20). The daytime symptoms, on the other hand, were significantly associated with almost all depressive symptoms, except for appetite. Moreover, daytime symptoms were exclusively related to cognitive symptoms of depression (e.g., trouble concentrating; OR=1.23, 95% CI: 1.16-1.46 ). The perception symptoms were independently associated with mood symptoms, tiredness, appetite, and judgment of oneself as a failure (OR ranged from 1.21 to 1.54), but not with psychomotor, cognitive and suicidal ideation symptoms. Daytime symptoms and perception symptoms of insomnia were more strongly associated with a full range of depressive symptoms than sleep symptoms. The sleep symptoms were mainly associated with physiological symptoms of depression, implicating more biological mechanisms. Further research is needed regarding how types of insomnia symptoms differentially related to multiple health consequences. 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 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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".