Self-injury in young bisexual people: a micro-longitudinal investigation (SIBL) of rumination and binegativity on non-suicidal self-injury
Bibliographic record
Abstract
Bisexual people have been found to have a higher risk of non-suicidal self-injury (NSSI) than other sexualities (heterosexual people, gay men). Theories suggest that rumination and discrimination may contribute to the increased risk. Therefore, the purpose of this study was to examine the association state rumination and binegativity have with NSSI urges and behaviour in young bisexual people. The present study was part of a larger research project, the Self-Injury in young Bisexual people: A micro-Longitudinal investigation (SIBL) study. The present study utilised a micro-longitudinal, single group design to assess rumination, binegativity and NSSI every week for a six-week period. Multi-level linear regression was used to examine the association between study variables and NSSI urges and behaviour at the same time point and with the predictors lagged by one week. A total of 207 bisexual young people were recruited to the SIBL research project. Rumination and binegativity were found to be associated with NSSI urges, both concurrently, and prospectively, even when adjusting for other variables. Rumination and binegativity were also associated with NSSI, but only in concurrent analyses. Binegativity did not interact with self-compassion when predicting concurrent NSSI urges or behaviour. Limitations include the reliance on self-selection and self-report data, which may have resulted in biased results and inflated relationships. In addition, the sample were 80% White with 76% of people residing in the UK or U.S.A. Both rumination and binegativity are associated with NSSI risk in young bisexual people. Psychological interventions that target rumination may be beneficial, alongside social interventions to reduce binegativity. Future research should focus on testing a rumination-focused therapy with this population or investigating additional factors with a non-bisexual comparison group.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".