Relationships between depression and difficulties in emotion regulation among first-year college students: a network analysis approach
Bibliographic record
Abstract
BACKGROUND: Depression and difficulties in emotion regulation (DER) may co-occur in first-year college students due to the transition from high school to college environment. However, the intricate interaction dynamics between depression and difficulties in emotion regulation symptoms are unclear. This study employed network analysis to examine the network structure of depression and difficulties in emotion regulation among first-year college students. METHODS: = 18.68, SD = 0.85) who completed the Patient Health Questionnaire and Difficulties in Emotion Regulation Scale. RESULTS: "Lack of emotional clarity" and "non-acceptance of emotional responses" emerged as bridge symptoms for the network. The strongest connections are between "non-acceptance of emotional reactions" and "limited access to effective emotion regulation strategies", "impulse control difficulties", and "difficulties engaging in goal-directed behavior", respectively. Network structure and global strength did not differ by gender, but some edge weights varied. CONCLUSION: These findings can inform the development of interventions targeting comorbid depression-DER onset among transitioning college students.
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".