Dataset on Suicide Risk, Substance Abuse, and Family Functioning Among University Students in a Health Faculty

Published: 21 January 2026| Version 2 | DOI: 10.17632/yn9ptx7mnd.2
Contributors:
, Jorge Mario Angulo,

Description

This dataset derives from a cross-sectional public health study aimed at assessing family functioning, substance use, and suicide risk and protective factors among university students. File structure The data file is provided in tabular format (rows = participants; columns = variables) and contains approximately 50 columns, organized into four main sections: Informed consent: a dichotomous variable documenting voluntary agreement to participate in the study. Mental and social health assessment instruments: items from the Family APGAR (Apgar_1–Apgar_9), the Drug Abuse Screening Test (DAST-10) (DAST_1–DAST_10), and the Positive and Negative Suicide Ideation Inventory (PANSI) (Pansi_1–Pansi_13). Sociodemographic, academic, and health insurance variables: gender identity, biological sex, age group, relationship status, health insurance scheme, and academic program. Derived and classification variables: total scores (Family APGAR score and DAST-10 score) and categorical variables for clinical classification and interpretation (Clas_apgar, Inter_apgar, Clas_DAST10, Inter_DAST10). Variable naming scheme Variable names follow a standardized structure to facilitate reuse and interpretation: Instrument-specific prefixes (Apgar_, DAST_, Pansi_) followed by sequential numbering. Derived variables identified by descriptive prefixes (Puntaje, Clas_, Inter_). Sociodemographic variables use concise and consistent naming conventions (genero, sexo, rango_edad, sit_sent, reg_salud, prog_acade). Variable types and encoding The dataset includes dichotomous categorical, polytomous ordinal categorical, and discrete quantitative variables. Most instrument items use a five-point ordinal scale numerically coded from 0 to 4, with higher values indicating greater frequency or intensity of the assessed construct. The file uses UTF-8 character encoding, ensuring proper representation of Spanish-language characters. Missing values are represented by empty cells or instrument-specific codes.

Files

Steps to reproduce

It was applied in Google form through research assistants and verified by the authors of the research project.

Categories

Public Health, Mental Health, Family Functioning, University Student, Suicide Risk, Substance Abuse

Licence