The Use of Multiple Correspondence Analysis to Explore Associations Between Categories of Qualitative Variables and Cancer Incidence
Autor: | Didac Florensa, Ramon Pinol, Francesc Solsona, Pere Godoy, Tere Pedrol, Jordi Mateo, Miquel Mesas |
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Rok vydání: | 2021 |
Předmět: |
Male
Rural Population Lung Neoplasms Colorectal cancer Population Multiple Correspondence Analysis Prostate cancer Breast cancer Health Information Management Risk Factors medicine Urban Humans Rural Electrical and Electronic Engineering Lung cancer education Cancer education.field_of_study Incidence (epidemiology) Incidence Prostatic Neoplasms medicine.disease Cancer Registry Computer Science Applications Cancer registry Biotechnology Demography |
Zdroj: | Repositorio Abierto de la UdL Universitad de Lleida |
ISSN: | 2168-2208 |
Popis: | Background: 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 |
Databáze: | OpenAIRE |
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