Bidirectional Associations between Sleep and Emotion Dysregulation across Adolescence
Bibliographic record
Abstract
Throughout adolescence, both sleep and emotion regulation abilities undergo significant developmental changes. The maturational systems that govern sleep and emotion regulation are closely intertwined leading many researchers to posit a mutually reinforcing relationship. Although there is support for a bidirectional relationship among adults, empirical support for reciprocal relationships among adolescents is lacking. Given the notable developmental changes and instability that occurs throughout adolescence, this is a critical period to examine whether sleep and emotion regulation abilities may be reciprocally related. Using a latent curve model with structured residuals, this study examined within-person reciprocal associations between sleep duration and emotion dysregulation among 945 Canadian adolescents (Mage = 14.05 years; 57% female). Participants self-reported their sleep duration and emotion dysregulation each year for three years beginning in Grade 9. After accounting for underlying developmental trajectories, the results did not support a bidirectional relationship between sleep duration and emotion dysregulation from one year to the next. However, there was evidence of contemporaneous associations between the residuals at each wave of assessment (r = -.13) such that less sleep than expected was concurrently associated with higher-than-expected deviations in emotion dysregulation, or, conversely, that reporting greater emotion dysregulation than expected was associated with lower-than-expected sleep duration. In contrast to previous findings, the between-person associations were not supported. Taken together, these results indicate that the relationship between sleep duration and emotion dysregulation is primarily a within-person process rather than reflecting differences between individuals and likely operates on a more proximal timescale.
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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 | 0.001 | 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 | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".