Exploratory cluster analysis of users of the Multidisciplinary Tobacco Treatment Program at HUAC, Campina Grande – PB

Authors

DOI:

https://doi.org/10.33448/rsd-v9i8.6532

Keywords:

Smoking; Health promotion; Grouping.

Abstract

Considering the relationship between data on smoking consumption and people's perceptions of the effects of smoking, the objective was to provide a more complete exploratory analysis of the data, using grouping techniques, drawing profiles of participants in the Multidisciplinary Tobacco Treatment Program (PMTT). From the 117 variables of 714 PMTT users produced from the original patient's medical evaluation questionnaire, 32 variables relevant to this study were selected. 495 users were filtered which contained information on the 32 selected variables, being 5 quantitative, 22 nominal qualitative and 5 ordinals qualitative variables. For these participants, cluster analysis was used. The lowest mean interlacing was used to choose the dissimilarity measure used in conjunction with Ward's method. Three distinct groups of smokers were identified. The results of the cluster analysis confirm the presence of three distinct groups of PMTT users. In addition, the study indicated that there are different patterns between variables sex, religion, income, and history of illnesses, in addition to differences in smoking profiles. The work presents considerations about people's responsibility in preventing and reducing consumption rates among their population. The results obtained trace profiles of smokers who have considerable smoking times and high daily cigarette consumption. Such profiles underscore the importance of comprehensive and articulated public policies, preferably preventive, focusing on education and health promotion or increasing the quality of life.

Author Biographies

Kleber Napoleão Nunes de Oliveira Barros, Universidade Estadual da Paraíba

Departamento de Estatistica

Mácio Augusto de Albuquerque, Universidade Estadual da Paraíba

Departamento de Estatística

Bioestatística

Probabilidade

Multivariada

Análise de Agrupamento

Amanda dos Santos Gomes, Universidade Federal de Campina Grande

Unidade Acadêmica de Estatística

Deborah Rose Galvão Dantas, Universidade Federal de Campina Grande

Unidade Acadêmica de Estatística

References

Albuquerque, M. A., & Barros, K. N. N. O. (2020). Introdução à Análise de Agrupamento: teoria e prática com aplicações em R. [e-book]. Campina Grande. Ed. EDUEPB. Disponível em: http://eduepb.uepb.edu.br/download/introducao-a-analise-de-agrupamento-teoria-e-pratica-com-aplicacoes-em-r/?wpdmdl=997&masterkey=5e97904980fc9

Albuquerque, M. A., Barros, K. N. N. O., Gouveia, J. F., & Ferreira, R. L. C. (2016). Determination and validation of group numbers in a cluster analysis: A case study applied to forestry science. Acta Scientiarum. Technology, 38(3), 339-344.

Albuquerque, T. M., Araujo, G. A. B., Caminha, B. L., Albuquerque, M. L., & Albuquerque, M. A. (2016). Measures of association in epidemiological studies: smoking mothers and low birth weight children in the city of Campina Grande–PB. Acta Scientiarum. Health Sciences, 38(2), 179-84.

Bush, T., Lovejoy, J. C., Deprey, M., & Carpenter, K. M. (2016). The effect of tobacco cessation on weight gain, obesity, and diabetes risk. Obesity, 24(9), 1834-41.

Calsavara, T.V.S., & Fontanella, B.J.B. (2007). Uso de tabaco iniciado na infância: relatos de adultos em tratamento. Jornal Brasileiro de Psiquiatria, 56(4), 252-9.

Caram, L. M. D. O., Ferrari, R., Tanni, S. E., Coelho, L. S., Godoy, I. D., Martin, R. D. S., & Godoy, I. D. (2009). Perfil de fumantes atendidos em serviço público para tratamento do tabagismo. Jornal Brasileiro de Pneumologia, 35(10), 980-5.

Cormack, R. M. (1971). A review of classification. Journal of the Royal Statistical Society: Series A (General), 134(3), 321-53.

Cornish, R. (2007). Statistics: cluster analysis. Mathematics Learning Support Centre, 1-5.

El-Hamdouchi, A., & Willett, P. (1989). Comparison of hierarchic agglomerative clustering methods for document retrieval. The Computer Journal, 32(3), 220-7.

Gower, J. C., & Legendre, P. (1986). Metric and Euclidean properties of dissimilarity coefficients. Journal of classification, 3(1), 5-48.

Johnson, R. A., & Wichern, D. W. (2002). Applied multivariate statistical analysis (Vol. 5, No. 8). Upper Saddle River, NJ: Prentice hall.

Kaufman, L., & Rousseeuw, P. J. (2009). Finding groups in data: an introduction to cluster analysis (Vol. 344). John Wiley & Sons.

Otero, M. (2004). Tabaquismo en la mujer: consideraciones especiales. Trastornos adictivos, 6(2), 113-124.

Panaino, E. F., Soares, C. B., & Campos, C. M. S. (2014). Context of the beginning of tobacco use in different social groups. Revista Latino-Americana de Enfermagem, 22(3), 379-385.

Pereira, A. S., Shitsuka, D. M., Parreira, F. J., & Shitsuka, R. (2018). Metodologia da pesquisa científica. [e-book]. Santa Maria. Ed. UAB/NTE/UFSM. Disponível em: https://repositorio.ufsm.br/bitstream/handle/1/15824/Lic_Computacao_Metodologia-Pesquisa-Cientifica.pdf?sequence=1

R Core Team (2014). R: A language and environment for statistical computing. R Foundation for Statistical Computing. Viena, Austria. Disponível em: http://www.R-project.org/

Senger, A. E. V., Ely, L. S., Gandolfi, T., Schneider, R. H., Gomes, I., & Carli, G. A. (2011). Alcoolismo e tabagismo em idosos: relação com ingestão alimentar e aspectos socioeconômicos. Revista Brasileira de Geriatria e Gerontologia, 14(4), 713-719.

Published

30/07/2020

How to Cite

BARROS, K. N. N. de O. .; ALBUQUERQUE, M. A. de; GOMES, A. dos S. .; DANTAS, D. R. G. Exploratory cluster analysis of users of the Multidisciplinary Tobacco Treatment Program at HUAC, Campina Grande – PB. Research, Society and Development, [S. l.], v. 9, n. 8, p. e825986532, 2020. DOI: 10.33448/rsd-v9i8.6532. Disponível em: https://rsdjournal.org/index.php/rsd/article/view/6532. Acesso em: 25 nov. 2024.

Issue

Section

Health Sciences