0414 Mood as a Mediator of Mindfulness and Insomnia Symptoms in Young Adults
Bibliographic record
Abstract
Previous research suggests that there is an inverse relationship between insomnia severity and mindfulness, but this association may be influenced by mood and gender. The present study examined whether psychological distress mediates the relationship between insomnia severity and mindfulness after adjusting for gender. We surveyed 2,159 young adults aged 18-35. Participants completed the Mindful Attention Awareness Scale, Kessler Distress Scale, and the Insomnia Severity Index. Regression analyses were used to investigate whether psychological distress mediates the effect of mindfulness on insomnia severity in young adults after adjusting for gender. The mean age of the sample was 22 years (SD=3.73) and 70.6% identified as female. Overall, insomnia severity was in the mild range (M=8.99, SD=5.61) with 55.4% reporting at least mild insomnia symptoms. Psychological distress was in the mild to moderate range (M=24.31; SD=8.51) with 28.7% of the sample being in the clinically significant range. Mindfulness was a significant predictor of psychological distress (B= -.322, SE=.010, p<.0001) and psychological distress was a significant predictor of insomnia severity (B= .395, SE=.011, p<.0001). Mindfulness was also a significant predictor of insomnia severity (B= -.16, SE=.007, p<.0001). The relationship between mindfulness and insomnia severity decreased after adjusting for psychological distress (B= -.047, SE=.008, p<.0001), consistent with partial mediation. Approximately 38.9% of insomnia severity was accounted for by the predictors (R2=.389). A Sobel test confirmed the significance of the mediation (Z= -19.96, SE= .0057, p<.0001). Mindfulness was associated with approximately .11 points higher insomnia severity scores as mediated by psychological distress. There was a significant difference in psychological distress scores between gender [F(1,2187)=25.616, p<.0001], with females reporting greater levels of psychological distress (M=14.79, SE=.21) than males (M=12.72, SE=.36) but gender did not impact the relationship between insomnia, mood, and mindfulness. Psychological distress partially accounts for the relationship between mindfulness and insomnia severity among young adults and this effect does not differ by gender. These results suggest that mindfulness training may have a positive impact on insomnia severity through a reduction in psychological distress. 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 | 0.000 | 0.000 |
| 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) | 0.001 | 0.001 |
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".