← Search

Data · dataset · 2026

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

Listed in Teesside University Research Data Repository

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.

Description

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).

Read the rest (3 more)

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.

Links

Where it is published

Catalogue records · 1

Topics

Inferred from text
Tabular 75%
Provenance · 1 source records, 14 field assertions
SourceKeyLast seenRaw
Teesside University Research Data Repositoryoai:data.mendeley.com/yn9ptx7mnd.212 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[field].anzsrc:group:4206mapping · researchdata tees ac ukvocabulary-mapper@1.0.0keywords['Public Health']
concepts[field].local:field:earth-environmentalmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[field].local:field:engineeringmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[field].local:field:humanitiesmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[field].local:field:life-sciencesmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[field].local:field:medicine-healthmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[field].local:field:psychology-behavioralmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[field].local:field:social-sciencemapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[modality].local:modality:tabularenrichment · researchdata tees ac ukkeyword-concept-rules@1.0.0title+description (75%)
descriptionsource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/description
licensesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/rights
publication_datesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
titlesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/title