Self-Compassion and Bedtime Procrastination: an Emotion Regulation Perspective
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The current study extended previous research on self-compassion and health behaviours by examining the associations of selfcompassion to bedtime procrastination, an important sleep-related behaviour. We hypothesized that lower negative affect and adaptive emotion regulation would explain the proposed links between self-compassion and less bedtime procrastination. Two cross-sectional online studies were conducted. Study 1 included 134 healthy individuals from the community (mean age 30.22, 77.4% female). Study 2 included 646 individuals from the community (mean age 30.74, 68.9% female) who were screened for the absence of clinical insomnia. Participants in both studies completed measures of self-compassion, positive and negative affect and bedtime procrastination. Participants in study 2 also completed a measure of cognitive reappraisal. Multiple mediation analysis in study 1 revealed the expected indirect effects of self-compassion on less bedtime procrastination through lower negative affect [b = -.09, 95% CI = (-.20, -.02), but not higher positive affect. Path analysis in study 2 replicated these findings and further demonstrated that cognitive reappraisal explained the lower negative affect linked to self-compassion [b = -.011; 95% CI = (-.025; -.003)]. The direct effect of self-compassion on less bedtime procrastination remained significant. Our novel findings provide preliminary evidence that self-compassionate people are less likely to engage in bedtime procrastination, due in part to their use of healthy emotion regulation strategies that downregulate negative mood.
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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) | 0.018 | 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 it