The link between nonsuicidal self-injury and acquired capability for suicide: A longitudinal study.
Bibliographic record
Abstract
Despite recent findings that nonsuicidal self-injury (NSSI) is a strong predictor of suicide attempts, little empirical attention has been given to the mechanism through which NSSI increases suicide risk. The present 2-wave longitudinal study represents the first critical test of Joiner's (2005) hypothesis that NSSI is linked to lower pain sensitivity and fear of death over time (i.e., NSSI leads to acquired capability for suicide). Undergraduate students (N = 782) at a midsized Canadian university completed measures of NSSI and acquired capability for suicide at 2 time points (1 year apart). Path analyses revealed that higher frequency of NSSI engagement in the past year was associated with greater acquired capability for suicide 1 year later, and that this link was unidirectional. This study provides the first longitudinal evidence that a potential mechanism for the link between NSSI and suicide attempts may be acquired capability for suicide, and suggests that targeting NSSI engagement could help to prevent individuals from acquiring the ability to enact more lethal forms of self-injury.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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".