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Int. J. Environ. Res. Public Health 2007, 4(3), 233-242; doi:10.3390/ijerph2007030007

Mapping Cigarettes Similarities using Cluster Analysis Methods

1
“Iuliu Hatieganu” University of Medicine and Pharmacy Cluj-Napoca, 6 Louis Pasteur, 400349 Cluj-Napoca, Romania
2
Technical University of Cluj-Napoca, 103-104 Muncii Bdv, 400641 Cluj-Napoca, Romania
*
Author to whom correspondence should be addressed.
Received: 18 June 2007 / Accepted: 28 August 2007 / Published: 30 September 2007
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Abstract

The aim of the research was to investigate the relationship and/or occurrences in and between chemical composition information (tar, nicotine, carbon monoxide), market information (brand, manufacturer, price), and public health information (class, health warning) as well as clustering of a sample of cigarette data. A number of thirty cigarette brands have been analyzed. Six categorical (cigarette brand, manufacturer, health warnings, class) and four continuous (tar, nicotine, carbon monoxide concentrations and package price) variables were collected for investigation of chemical composition, market information and public health information. Multiple linear regression and two clusterization techniques have been applied. The study revealed interesting remarks. The carbon monoxide concentration proved to be linked with tar and nicotine concentration. The applied clusterization methods identified groups of cigarette brands that shown similar characteristics. The tar and carbon monoxide concentrations were the main criteria used in clusterization. An analysis of a largest sample could reveal more relevant and useful information regarding the similarities between cigarette brands. View Full-Text
Keywords: Tobacco tar; nicotine and carbon monoxide; heath warnings; explanatory health messages; multidimensional analysis; cluster analysis Tobacco tar; nicotine and carbon monoxide; heath warnings; explanatory health messages; multidimensional analysis; cluster analysis
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Bolboacă, S.D.; Jäntschi, L. Mapping Cigarettes Similarities using Cluster Analysis Methods. Int. J. Environ. Res. Public Health 2007, 4, 233-242.

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