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Record W4416702513 · doi:10.1007/s11469-025-01589-w

70% of College Students Who Engage in Non-Suicidal Self-injury Do Not Seek Treatment: An International Study

2025· article· en· W4416702513 on OpenAlexfundaboutno aff
Emma G. Lindquist, Elizabeth C. Aviv, Bella Magner-Parsons, Diana Woodward, Amy E. West, Adrián J. Bravo, Christopher Conway, Fermín Fernández‐Calderón, James M. Henson, Lee Hogarth, Manuel I. Ibáñez, Debra Kaminer, Matthew T. Keough, Oleg N. Medvedev, Yanina Michelini, Generós Ortet, Ricardo Marcos Pautassi, Matthew R. Pearson, Angelina Pilatti, Mark A. Prince, Jennifer P. Read, Verónica Vidal-Arenas

Bibliographic record

VenueInternational Journal of Mental Health and Addiction · 2025
Typearticle
Languageen
FieldPsychology
TopicSuicide and Self-Harm Studies
Canadian institutionsnot available
FundersUniversity of Cape TownUniversidad de ZaragozaUniversity of WaikatoUniversidad Nacional de CórdobaUniversitat Jaume IUniversidad de HuelvaYork UniversityOld Dominion UniversityUniversity of ExeterFordham UniversityCollege of William and MaryUniversity of Southern California
KeywordsHealth psychologyPublic healthSuicide preventionHuman factors and ergonomicsBaseline (sea)Injury preventionQuality of Life Research

Abstract

fetched live from OpenAlex

Abstract Non-suicidal self-injury (NSSI) is a high-risk behavior, yet much remains unknown about NSSI treatment utilization. The current study seeks to determine cross-national endorsement rates of NSSI and NSSI treatment utilization among college students. The present study uses baseline data from a survey study of 4,772 college students who completed a measure of NSSI recruited from the USA, Canada, Spain, South Africa, Argentina, and England. In total, 19% endorsed past-year NSSI, with participants in England and South Africa most likely to endorse past-year NSSI and those in Spain least likely. 30% of those who endorsed past-year NSSI reported lifetime NSSI treatment utilization, with outpatient services being the most commonly sought treatment in each country. Service utilization was lowest in Canada and highest in Argentina. Low rates of NSSI treatment utilization are consistent across many countries, suggesting that barriers to NSSI treatment may be international, rather than nation, specific.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.035
Threshold uncertainty score0.070

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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.

Opus teacher head0.021
GPT teacher head0.403
Teacher spread0.382 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes2
Has abstractyes

Explore more

Same venueInternational Journal of Mental Health and AddictionSame topicSuicide and Self-Harm StudiesFrench-language works237,207