Stop self-injuring, then what? Psychosocial risk associated with initiation and cessation of nonsuicidal self-injury from adolescence to early adulthood.
Bibliographic record
Abstract
Nonsuicidal self-injury (NSSI) typically begins in adolescence and remits by early adulthood, but few prospective studies have investigated the long-term impact of NSSI initiation and cessation on young people's wellbeing. We examined changes in psychosocial risk associated with NSSI onset and offset in an accelerated longitudinal study of 662 adolescents (12-18 years old) who were followed biennially for 10 years. Of the 133 participants who reported NSSI, 100 had stopped engaging in NSSI by the study's end. NSSI initiation was associated with concurrent increases in depression, anxiety, externalizing symptoms, peer victimization, alcohol, tobacco and illicit substance use, and concurrent declines in physical self-concept, parent, and peer support. As NSSI persisted, youth experienced further increases in anxiety and cannabis use, and declines in physical self-concept. NSSI cessation was associated with concurrent increases in alcohol, cannabis, and tobacco use. With sustained cessation, however, youth experienced gradual improvements in depression, anxiety, externalizing symptoms, peer victimization, as well as gradual reductions in alcohol and tobacco use. By early adulthood, participants who reported ongoing NSSI worked fewer hours and were more likely to delay medical treatment for financial reasons versus those without NSSI histories, and reported less environmental mastery versus those who had discontinued NSSI. Youth who had discontinued NSSI, in turn, reported less environmental mastery and self-acceptance versus youth who never engaged in NSSI. These results contextualize NSSI cessation alongside indicators of psychological, social, and behavioral wellbeing, and underscore the persistence of psychosocial vulnerability after NSSI has resolved. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 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".