The consumption of alcohol, tobacco and other drugs are a health and social problems worldwide. According to several studies, abstemious people are a minority population among university students. The objective of this research is to identify clusters of abstemious students and their psycho-socials patterns. Based on information obtained through five psychological questionnaires (Patient health questionnaire PHQ-9, avoidance and action questionnaire AAQ 7, loneliness scale UCLA-R, the satisfaction with life scale SLQ, the Barratt impulsiveness scale BISS-1, and perceived stress scale PSS-10) a cluster analysis was conduct using Sparse K-means algorithm. The sample comprised 510 abstemious college students from three Ecuadorian universities. Two clusters were obtained: satisfaction with life, loneliness, and avoidance and action are the most representative variables contributing to the cluster distribution.
|Title of host publication||Applied Technologies - 1st International Conference, ICAT 2019, Proceedings|
|Editors||Miguel Botto-Tobar, Marcelo Zambrano Vizuete, Pablo Torres-Carrión, Sergio Montes León, Guillermo Pizarro Vásquez, Benjamin Durakovic|
|Number of pages||10|
|State||Published - 1 Jan 2020|
|Event||1st International Conference on Applied Technologies, ICAT 2019 - Quito, Ecuador|
Duration: 3 Dec 2019 → 5 Dec 2019
|Name||Communications in Computer and Information Science|
|Conference||1st International Conference on Applied Technologies, ICAT 2019|
|Period||3/12/19 → 5/12/19|
Bibliographical noteFunding Information:
This research was carried out with the funds of the project ?CEPRA XII-2018-05 Prediction of Drug Consumption?, winner of the CEPRA contest of CEDIA-Ecuador. The researchers thank CEDIA for their contribution in the development management of the project.
From a sample of 3981 college students from Ecuador who validly answered a psychosocial questionnaire, 510 students, who have not used alcohol, tobacco, or any other drug, were selected. The data are obtained as part of the “CEPRA XII-2018-05 Prediction of drug use” project funded by CEDIA (Ecuadorian Corporation for Research Development and the Academy, by Spanish acronym), and in which researchers from three Ecuadorian and two Spanish universities: Universidad Técnica Particular de Loja, Universidad Técnica del Norte, Universidad Politécnica Salesiana, Universidad de Salamanca and Universidad Loyola Andalucía. The data correspond to research conducted with the entire student population of the three Ecuadorian universities, applying a test from an online platform. The data has gone through a filtering and cleaning, separating all those that presented anomalies. From the questionnaire that consist of 10 test, 11 variables detailed below in Table 1 were selected:
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- Cluster analysis
- University students