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dc.contributor.authorFlorensa Cazorla, Dídac
dc.contributor.authorGodoy i García, Pere
dc.contributor.authorMateo Fornés, Jordi
dc.contributor.authorSolsona Tehàs, Francesc
dc.contributor.authorPedrol, Tere
dc.contributor.authorMesas, Miquel
dc.contributor.authorPiñol, Ramon
dc.description.abstractBackground: Previous works have shown that risk factors for some kinds of cancer depend on people's lifestyle (e.g. rural or urban residence). This article looks into this, seeking relationships between cancer, age group, gender and population in the region of Lleida (Catalonia, Spain) using Multiple Correspondence Analysis (MCA). Methods: The dataset analysed was made up of 3,408 cancer episodes between 2012 and 2014, extracted from the Population-based Cancer Registry (PCR) for Lleida province. The cancers studied were colon and rectal (1,059 cases), lung (551 cases), urinary bladder (446 cases), prostate (609 cases) and breast (743 cases). The MCA technique was applied and used to search relationships among the main qualitative features. The basic statistics were the percentage explaining (variance), the inertia and the contribution of each qualitative variable. Results: General outcomes showed a low and moderate contribution of living in rural areas to colorectal and male prostate cancer. Males in urban areas were slightly and heavily affected by lung and urinary bladder cancer respectively. The analysis of each cancer provided additional information. Colorectal cancer greatly affected males aged <60, urban residents aged 70-79, and rural females aged 80. The impact of lung cancer was high among urban females <60, moderate among males aged 70-79 and high among rural females aged 80. The results for urinary bladder cancer results were similar to those for lung cancer. Prostate cancer affected both the <60 and 80 age groups significantly in rural areas. Breast cancer hit the 70-79 group significantly and, somewhat less so, rural females aged 80. Conclusions: MCA was a significant help for detecting the contributions of qualitative variables and the associations between them. MCA has proven to be an effective technique for analyzing the incidence of cancer. The outcomes obtained help to corroborate suspected trends, as well as detecting and stimulating new hypotheses about the risk factors associated with a specific area and cancer. These findings will be helpful for encouraging new studies and prevention campaigns to highlight observed singularities.ca_ES
dc.description.sponsorshipThis work was supported by contract 2019-DI-43 of the Industrial Doctorate Program of the Government of Catalonia and by the Ministerio de Econom´ıa y Competitividad under contract TIN2017-84553-C2-2-R. Some of the authors are members of the research group 2014-SGR163, funded by the Generalitat de Catalunya.ca_ES
dc.relationinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TIN2017-84553-C2-2-R/ES/APROVECHANDO LOS NUEVOS PARADIGMAS DE COMPUTO PARA LOS RETOS DE LA SOCIEDAD DIGITAL - UDL/ca_ES
dc.relation.isformatofReproducció del document publicat a
dc.relation.ispartofIEEE Journal of Biomedical and Health Informatics, 2021, vol. 25, núm. 9, p. 3659-3667ca_ES
dc.rightscc-by (c) Florensa et al., 2021ca_ES
dc.subjectCancer Registryca_ES
dc.subjectMultiple Correspondence Analysisca_ES
dc.titleThe Use of Multiple Correspondence Analysis to Explore Associations between Categories of Qualitative Variables and Cancer Incidenceca_ES

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