The Effect of Emotion Regulation on Non-Suicidal Self-Injury Among Adolescents: The Mediating Roles of Sleep, Exercise, and Social Support
Bibliographic record
Abstract
Zhensong Lan,1,2 Kee Pau,3 Hapsah Md Yusof,3 Xuefang Huang4 1School of Public Administrations, Hechi University, Hechi, Guangxi, 546300, People’s Republic of China; 2National Child Development Research Centre, Sultan Idris Education University, Tanjong Malim Perak, 35900, Malaysia; 3Department of Psychology and Counseling, Faculty of Human Development, Sultan Idris Education University, Tanjong Malim Perak, 35900, Malaysia; 4College of Humanities & Social Sciences, Huazhong Agricultural University, Wuhan, Hubei, 430070, People’s Republic of ChinaCorrespondence: Kee Pau, Director of Counseling Center, Bangunan Bitarasiswa, Tingkat Bawah, Kampus Sultan Abdul Jalil Shah Universiti Pendidikan Sultan Idris, Tanjong Malim Perak, 35900, Malaysia, Tel +60 167228023, Email pau_kee@fpm.upsi.edu.myPurpose: To explore the relationship between adolescents’ emotion regulation ability and non-suicidal self-injury (NSSI) behavior and the role of sleep, exercise, and social support in this relationship.Methods: A total of 2573 adolescents were investigated with the Cognitive Emotion Regulation Scale, the Social Support Scale for Children and Adolescents, the Ottawa Self-Injury Questionnaire, and the Self-Made Living Condition Questionnaire, and path analysis was conducted based on the structural equation model (SEM).Results: 1) There was a significant correlation between emotion regulation ability and NSSI behavior; 2) sleep and social support played a mediating role between emotion regulation ability and NSSI behavior; and 3) sleep modulated the direct effect of negative emotion regulation ability on NSSI, while exercise modulated the direct effect of positive emotion regulation ability on NSSI, which indicated that sleep and exercise could effectively alleviate NSSI behavior caused by the lack of emotion regulation in adolescents.Keywords: emotion regulation ability, non-suicidal self-injury, NSSI, structural equation model, SEM
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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 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".