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

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución de conferencia › revisión exhaustiva

1 Cita (Scopus)

Resumen

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.

Idioma original	Inglés
Título de la publicación alojada	Applied Technologies - 1st International Conference, ICAT 2019, Proceedings
Editores	Miguel Botto-Tobar, Marcelo Zambrano Vizuete, Pablo Torres-Carrión, Sergio Montes León, Guillermo Pizarro Vásquez, Benjamin Durakovic
Editorial	Springer
Páginas	184-193
Número de páginas	10
ISBN (versión impresa)	9783030425197
DOI	https://doi.org/10.1007/978-3-030-42520-3_15
Estado	Publicada - 1 ene. 2020
Evento	1st International Conference on Applied Technologies, ICAT 2019 - Quito, Ecuador Duración: 3 dic. 2019 → 5 dic. 2019

Serie de la publicación

Nombre	Communications in Computer and Information Science
Volumen	1194 CCIS
ISSN (versión impresa)	1865-0929
ISSN (versión digital)	1865-0937

Conferencia

Conferencia	1st International Conference on Applied Technologies, ICAT 2019
País/Territorio	Ecuador
Ciudad	Quito
Período	3/12/19 → 5/12/19

Nota bibliográfica

Publisher Copyright:
© 2020, Springer Nature Switzerland AG.

Acceder al documento

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

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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. En 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).

@inproceedings{93ad235b40d9446db96c0ecb435da84c,

title = "Cluster Analysis for Abstemious Characterization Based on Psycho-Social Information",

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.",

keywords = "Abstemious, Cluster analysis, Ecuador, University students",

author = "Pablo Torres-Carri{\'o}n and Ruth Re{\'a}tegui and Byron Bustamante and Jorge Gord{\'o}n and Boada, {Mar{\'i}a Jos{\'e}} and Pablo Ruisoto",

note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; 1st International Conference on Applied Technologies, ICAT 2019 ; Conference date: 03-12-2019 Through 05-12-2019",

year = "2020",

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doi = "10.1007/978-3-030-42520-3_15",

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editor = "Miguel Botto-Tobar and {Zambrano Vizuete}, Marcelo and Pablo Torres-Carri{\'o}n and {Montes Le{\'o}n}, Sergio and {Pizarro V{\'a}squez}, Guillermo and Benjamin Durakovic",

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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. En 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).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución de conferencia › revisión exhaustiva

TY - GEN

T1 - Cluster Analysis for Abstemious Characterization Based on Psycho-Social Information

AU - Torres-Carrión, Pablo

AU - Reátegui, Ruth

AU - Bustamante, Byron

AU - Gordón, Jorge

AU - Boada, María José

AU - Ruisoto, Pablo

PY - 2020/1/1

Y1 - 2020/1/1

N2 - 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.

AB - 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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KW - Cluster analysis

KW - Ecuador

KW - University students

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M3 - Conference contribution

AN - SCOPUS:85082393355

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T3 - Communications in Computer and Information Science

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BT - Applied Technologies - 1st International Conference, ICAT 2019, Proceedings

A2 - Botto-Tobar, Miguel

A2 - Zambrano Vizuete, Marcelo

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

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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. En Botto-Tobar M, Zambrano Vizuete M, Torres-Carrión P, Montes León S, Pizarro Vásquez G, Durakovic B, editores, 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