The psychometric properties and clinical utility of the Norwegian versions of the deliberate self-harm inventory and the inventory of statements about self-injury
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Deliberate self-harm (DSH) is a widespread transdiagnostic health problem with increasing prevalence among adolescences, and young adults. It is therefore essential to effectively chart the epidemiology of DSH, as well as to assess the efficacy of interventions designed to modify this behavior. The aim was to translate and analyze the psychometric properties of the Norwegian versions of two instruments designed to assess DSH: the Deliberate Self-harm Inventory (DSHI) and the Inventory of Statements About Self-Injury (ISAS), as well as to assess the prevalence of DSH within a nonclinical Norwegian adult population. Of the 402 participants who completed a questionnaire packet comprising the DSHI, ISAS, general questions about DSH, and other related measures, 30.6% reported some form of DSH. Those with a history of DSH reported greater difficulties with emotion regulation than those without. Participants with and without a history of DSH did not differ in unrelated constructs, including social desirability. The frequency of specific DSH behaviors was in accordance with previous research, with cutting being the most frequent. The factor structure of DSH functions in the Norwegian ISAS was generally comparable to the factor structure of the English version. Overall, results indicate that: a) the Norwegian versions of the DSHI and ISAS behave as expected and in accordance with prior research in other languages and other populations, and b) both the DSHI and ISAS have high internal consistency and adequate construct, convergent, and discriminant validity, and may be applied to evaluate DSH in adult Norwegian populations.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it