0677 Blunted daily light rhythm amplitude in adults with opioid use disorder (OUD)
Bibliographic record
Abstract
Abstract Introduction Accumulating evidence implicates sleep and circadian rhythm disruption in substance use disorders, including opioid use disorder (OUD). Blunted amplitude in daily rhythms of circadian-relevant variables (e.g., activity, light) may be a marker of psychopathology, as depressed adults demonstrate a smaller activity amplitude compared with healthy controls. The present study compared the light and activity amplitudes of adults with OUD with healthy controls. Methods Light and activity data were collected from adults with OUD who were recently stabilized on medication-assisted treatment (N=27; Mage=44.25±13.21). Participants wore an Actiwatch for an average of 14.5 (SD=4.14) days. Light and activity data collected from healthy adults (N=15; Mage=22.88±2.76) who wore an Actiwatch an average of 11.59 (SD=1.07) days in a separate study were included as a comparison group. Light and activity amplitudes for each day and a composite amplitude for the sampling period were calculated using non-orthogonal spectral analysis. Results Results of mixed model ANOVA with subject as a random factor and group and day as fixed factors revealed a significant main effect of group on daily light amplitude (p<.01), such that the OUD group exhibited lower daily light amplitudes compared to healthy controls, and a trend-level main effect of group on daily activity amplitude (p=.09), such that the OUD group exhibited lower daily activity amplitudes compared to healthy controls. With age included as a covariate in the model, the main effect of group on light remained significant, whereas the trend-level effect on activity became non-significant. Results of between-subjects t-tests indicated significantly lower composite light and activity amplitudes during the entire sampling period in the OUD group compared to healthy controls (p’s<.05). Conclusion These findings indicate that OUD is characterized by blunted light amplitude, which could both reflect and contribute to disruptions in circadian physiology in OUD. Light amplitude may be a novel target for behavioral OUD interventions. Future research is needed to determine whether blunted light amplitude is associated with OUD treatment outcomes and to further examine activity amplitude in OUD with larger sample sizes. Support (if any) U01 HL150596; T32 HL149646; CTSA Grant UL1 TR002535; Office of Naval Research MURI N00014-15-1-2809
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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 | 0.000 | 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) | 0.003 | 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".