Cluster Analysis for Abstemious Characterization Based on Psycho-Social Information

Pablo Torres-Carrión; Ruth Reátegui; Byron Bustamante; Jorge Gordón; María José Boada; Pablo Ruisoto

doi:10.1007/978-3-030-42520-3_15

Cluster Analysis for Abstemious Characterization Based on Psycho-Social Information

Pablo Torres-Carrión, Ruth Reátegui, Byron Bustamante, Jorge Gordón, María José Boada, Pablo Ruisoto

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

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.

Original language	English
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
Publisher	Springer
Pages	184-193
Number of pages	10
ISBN (Print)	9783030425197
DOIs	https://doi.org/10.1007/978-3-030-42520-3_15
State	Published - 1 Jan 2020
Event	1st International Conference on Applied Technologies, ICAT 2019 - Quito, Ecuador Duration: 3 Dec 2019 → 5 Dec 2019

Publication series

Name	Communications in Computer and Information Science
Volume	1194 CCIS
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Conference

Conference	1st International Conference on Applied Technologies, ICAT 2019
Country/Territory	Ecuador
City	Quito
Period	3/12/19 → 5/12/19

Bibliographical note

Funding Information:
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:

Funding 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.

Publisher Copyright:
© 2020, Springer Nature Switzerland AG.

Keywords

Abstemious
Cluster analysis
Ecuador
University students

Access to Document

10.1007/978-3-030-42520-3_15

Cite this

Torres-Carrión, P., Reátegui, R., Bustamante, B., Gordón, J., Boada, M. J., & Ruisoto, P. (2020). Cluster Analysis for Abstemious Characterization Based on Psycho-Social Information. In M. Botto-Tobar, M. Zambrano Vizuete, P. Torres-Carrión, S. Montes León, G. Pizarro Vásquez, & B. Durakovic (Eds.), Applied Technologies - 1st International Conference, ICAT 2019, Proceedings (pp. 184-193). (Communications in Computer and Information Science; Vol. 1194 CCIS). Springer. https://doi.org/10.1007/978-3-030-42520-3_15

Torres-Carrión, Pablo ; Reátegui, Ruth ; Bustamante, Byron et al. / Cluster Analysis for Abstemious Characterization Based on Psycho-Social Information. Applied Technologies - 1st International Conference, ICAT 2019, Proceedings. editor / Miguel Botto-Tobar ; Marcelo Zambrano Vizuete ; Pablo Torres-Carrión ; Sergio Montes León ; Guillermo Pizarro Vásquez ; Benjamin Durakovic. Springer, 2020. pp. 184-193 (Communications in Computer and Information Science).

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abstract = "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.",

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Torres-Carrión, P, Reátegui, R, Bustamante, B, Gordón, J, Boada, MJ & Ruisoto, P 2020, Cluster Analysis for Abstemious Characterization Based on Psycho-Social Information. in M Botto-Tobar, M Zambrano Vizuete, P Torres-Carrión, S Montes León, G Pizarro Vásquez & B Durakovic (eds), Applied Technologies - 1st International Conference, ICAT 2019, Proceedings. Communications in Computer and Information Science, vol. 1194 CCIS, Springer, pp. 184-193, 1st International Conference on Applied Technologies, ICAT 2019, Quito, Ecuador, 3/12/19. https://doi.org/10.1007/978-3-030-42520-3_15

Cluster Analysis for Abstemious Characterization Based on Psycho-Social Information. / Torres-Carrión, Pablo; Reátegui, Ruth; Bustamante, Byron et al.
Applied Technologies - 1st International Conference, ICAT 2019, Proceedings. ed. / Miguel Botto-Tobar; Marcelo Zambrano Vizuete; Pablo Torres-Carrión; Sergio Montes León; Guillermo Pizarro Vásquez; Benjamin Durakovic. Springer, 2020. p. 184-193 (Communications in Computer and Information Science; Vol. 1194 CCIS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Torres-Carrión, Pablo

AU - Reátegui, Ruth

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AU - Ruisoto, Pablo

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PB - Springer

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Y2 - 3 December 2019 through 5 December 2019

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Torres-Carrión P, Reátegui R, Bustamante B, Gordón J, Boada MJ, Ruisoto P. Cluster Analysis for Abstemious Characterization Based on Psycho-Social Information. In Botto-Tobar M, Zambrano Vizuete M, Torres-Carrión P, Montes León S, Pizarro Vásquez G, Durakovic B, editors, Applied Technologies - 1st International Conference, ICAT 2019, Proceedings. Springer. 2020. p. 184-193. (Communications in Computer and Information Science). doi: 10.1007/978-3-030-42520-3_15

Cluster Analysis for Abstemious Characterization Based on Psycho-Social Information

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Keywords

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