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

doi:10.1007/978-3-030-42520-3_22

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

Psychosocial Research Group (GIPS)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-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 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	269-283
Number of pages	15
ISBN (Print)	9783030425197
DOIs	https://doi.org/10.1007/978-3-030-42520-3_22
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

Publisher Copyright:
© 2020, Springer Nature Switzerland AG.

Keywords

Alcohol
Cluster analysis
Drugs
Ecuador
Tobacco
University

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-030-42520-3_22

Cite this

Reátegui, R., Torres-Carrión, P., López, V., Galárraga, A., Grondona, G., & Nuñez, C. L. (2020). Cluster Analysis Base on Psychosocial Information for Alcohol, Tobacco and Other Drugs Consumers. 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. 269-283). (Communications in Computer and Information Science; Vol. 1194 CCIS). Springer. https://doi.org/10.1007/978-3-030-42520-3_22

Reátegui, Ruth ; Torres-Carrión, Pablo ; López, Víctor et al. / Cluster Analysis Base on Psychosocial Information for Alcohol, Tobacco and Other Drugs Consumers. 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. 269-283 (Communications in Computer and Information Science).

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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.",

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Reátegui, R, Torres-Carrión, P, López, V, Galárraga, A, Grondona, G & Nuñez, CL 2020, Cluster Analysis Base on Psychosocial Information for Alcohol, Tobacco and Other Drugs Consumers. 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. 269-283, 1st International Conference on Applied Technologies, ICAT 2019, Quito, Ecuador, 3/12/19. https://doi.org/10.1007/978-3-030-42520-3_22

Cluster Analysis Base on Psychosocial Information for Alcohol, Tobacco and Other Drugs Consumers. / Reátegui, Ruth; Torres-Carrión, Pablo; López, Víctor 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. 269-283 (Communications in Computer and Information Science; Vol. 1194 CCIS).

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

TY - GEN

T1 - Cluster Analysis Base on Psychosocial Information for Alcohol, Tobacco and Other Drugs Consumers

AU - Reátegui, Ruth

AU - Torres-Carrión, Pablo

AU - López, Víctor

AU - Galárraga, Anabela

AU - Grondona, Gino

AU - Nuñez, Carla López

PY - 2020/1/1

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N2 - 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.

AB - 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.

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KW - Cluster analysis

KW - Drugs

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KW - Tobacco

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M3 - Conference contribution

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T3 - Communications in Computer and Information Science

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A2 - Botto-Tobar, Miguel

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A2 - Torres-Carrión, Pablo

A2 - Montes León, Sergio

A2 - Pizarro Vásquez, Guillermo

A2 - Durakovic, Benjamin

PB - Springer

T2 - 1st International Conference on Applied Technologies, ICAT 2019

Y2 - 3 December 2019 through 5 December 2019

ER -

Reátegui R, Torres-Carrión P, López V, Galárraga A, Grondona G, Nuñez CL. Cluster Analysis Base on Psychosocial Information for Alcohol, Tobacco and Other Drugs Consumers. 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. 269-283. (Communications in Computer and Information Science). doi: 10.1007/978-3-030-42520-3_22

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

Abstract

Publication series

Conference

Bibliographical note

Keywords

UN SDGs

Access to Document

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Cite this