Parents’ role in early adolescent self-injury: An application of self-determination theory.
Bibliographic record
Abstract
OBJECTIVE: We applied self-determination theory to examine a model whereby perceived parental autonomy support directly and indirectly affects nonsuicidal self-injury (NSSI) through difficulties in emotion regulation. METHOD: 639 participants (53% female) with a mean age of 13.38 years (SD = 0.51) completed the How I Deal with Stress Questionnaire as a screener for NSSI, the Perceptions of Parents Scale, and the Difficulties in emotion Regulation Scale. Participants who indicated having ever hurt themselves on purpose without the intent to die (n = 116, 66% female) were classified in the NSSI lifetime group. RESULTS: A mediation analysis with bootstrapping procedure revealed that adolescents who reported their parents as being less supportive of their need for autonomy were more likely to have engaged in NSSI. Further, this relationship was partially mediated by emotion regulation. CONCLUSION: Adolescents who do not perceive autonomy support from their parents, have more difficulties regulating their emotions, and may turn to NSSI as a means to cope. Clinical implications of the findings suggest involving the family, and specifically, targeting parental autonomy support may be beneficial when working with young adolescents who self-injure. (PsycINFO Database Record
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 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 | 0.005 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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 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".