Cluster Analysis Base on Psychosocial Information for Alcohol, Tobacco and Other Drugs Consumers

Ruth Reátegui, Pablo Torres-Carrión, Víctor López, Anabela Galárraga, Gino Grondona, Carla López Nuñez

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

The consumption of alcohol, tobacco and other drugs is considered a public health problem, being one of the main causes of academic failure of university students. The objective of this research was to identify psychosocial characteristics in clusters of alcohol, tobacco and other drug consumers. A sample of 3741 college students from Ecuador who complete a psychosocial questionnaire was used. Sparse K-means algorithm showed three clusters. Cluster CLNA1 represents students with low consume of tobacco and alcohol. Apparently, they do not have depression and are comfortable with their lives. CLNA2 presents low consume of tobacco and alcohol. This group shows signals of depression and they consider that there are aspects of their life to improve and small but significant problems of their life. CLNA3 presents the higher consume of tobacco and alcohol.

Original languageEnglish
Title of host publicationApplied Technologies - 1st International Conference, ICAT 2019, Proceedings
EditorsMiguel Botto-Tobar, Marcelo Zambrano Vizuete, Pablo Torres-Carrión, Sergio Montes León, Guillermo Pizarro Vásquez, Benjamin Durakovic
PublisherSpringer
Pages269-283
Number of pages15
ISBN (Print)9783030425197
DOIs
StatePublished - 1 Jan 2020
Event1st International Conference on Applied Technologies, ICAT 2019 - Quito, Ecuador
Duration: 3 Dec 20195 Dec 2019

Publication series

NameCommunications in Computer and Information Science
Volume1194 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference1st International Conference on Applied Technologies, ICAT 2019
Country/TerritoryEcuador
CityQuito
Period3/12/195/12/19

Keywords

  • Alcohol
  • Cluster analysis
  • Drugs
  • Ecuador
  • Tobacco
  • University

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