VisIA-Q: A cross-sectional psychometric and demographic dataset of adolescents at high-risk for suicide

Version note (September 2026). This version supersedes the earlier ones and is the one described in the Data Descriptor. Two changes were made after a coding audit of the released file: (1) the 22 ECIP-Q item columns are now on the instrument's 0–4 response scale (earlier versions stored the 1-based response index of the data-collection form) and ecip_score is recomputed as the sum of its items; (2) the MACI-II scale scores of the two participants whose protocol could not be scored are released as empty cells instead of the value −1; both records remain flagged by maci_score_inval = 1. All other columns are unchanged. The audit and the verification commands (make audit, make reproduce) are in the code repository. This data descriptor presents a dataset containing demographic and psychometric information from 207 adolescents aged 12 to 17. The data were collected as part of a three-group, cross-sectional study design. The sample includes adolescents recently admitted for an acute suicidal crisis (N=43); adolescents receiving care for non-suicidal conditions (N=55); and a general population with no known psychiatric history (N=109). Data collection includes sociodemographic variables (age, sex, school grade) and item-level responses alongside aggregated scores from seven validated self-report instruments. The assessment includes suicidal ideation, general mental health difficulties, depressive symptoms, bullying, cyberbullying, and problematic internet use. Access request This dataset contains sensitive health information from adolescents and is subject to restricted access. To request access, use the Request access button and include: (1) your name and institutional affiliation; (2) a brief description of your intended research use; and (3) confirmation that you agree to the Data Usage Agreement (DUA), available in full at this link and reproduced on this page before the request form. The DUA requires that requesters make no attempt to re-identify participants, store the data securely, cite this dataset and its Data Descriptor, and not redistribute the data to third parties. The DUA does not restrict the purpose of the research for which the data are used. The variable codebook is also openly available, without an access request, in the public code repository: codebook.csv. Enquiries may be directed to the corresponding author ([e-mail]).