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Understanding Regional Risk Factors for Cancer: A Cluster Analysis of Lifestyle, Environment and Socio-Economic Status in Poland

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  • Dawid Majcherek

    (Collegium of World Economy, SGH Warsaw School of Economics, al. Niepodległości 162, 02-554 Warsaw, Poland)

  • Marzenna Anna Weresa

    (World Economy Research Institute, Collegium of World Economy, SGH Warsaw School of Economics, al. Niepodległości 162, 02-554 Warsaw, Poland)

  • Christina Ciecierski

    (Department of Economics, Northeastern Illinois University, 5500 North St. Louis Avenue, Chicago, IL 60625, USA)

Abstract

To date, no results have been published regarding cluster analysis of risk factors for cancer in Poland. Many cancer deaths are preventable through the modification of cancer risk behaviours. This study explores the multidisciplinary connection between lifestyle, environment and socio-economic status (SES). Cluster analyses indicate that major metropolitan areas and large industrial regions differ significantly in terms of SES, lifestyle and environment when compared with other parts of Poland. Our findings show that in order for interventions to be effective, cancer-prevention policy should be addressed on both local and national scales. While anti-cancer policies in Poland’s industrial regions should focus on air pollution, the country’s northern regions should aim to curb smoking, increase sports activity and improve SES. Policy interventions must target the root causes of cancer in each region of Poland and must account for SES.

Suggested Citation

  • Dawid Majcherek & Marzenna Anna Weresa & Christina Ciecierski, 2020. "Understanding Regional Risk Factors for Cancer: A Cluster Analysis of Lifestyle, Environment and Socio-Economic Status in Poland," Sustainability, MDPI, vol. 12(21), pages 1-15, October.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:21:p:9080-:d:438354
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    References listed on IDEAS

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    1. Glenn Milligan & Martha Cooper, 1988. "A study of standardization of variables in cluster analysis," Journal of Classification, Springer;The Classification Society, vol. 5(2), pages 181-204, September.
    2. Katarzyna Orlewska & Andrzej Sliwczynski & Ewa Orlewska, 2018. "An ecological study of the link between the risk of most frequent types of cancer in Poland and socioeconomic variables," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 63(7), pages 777-786, September.
    3. Valentin Brodszky & Zsuzsanna Beretzky & Petra Baji & Fanni Rencz & Márta Péntek & Alexandru Rotar & Konstantin Tachkov & Susanne Mayer & Judit Simon & Maciej Niewada & Rok Hren & László Gulácsi, 2019. "Cost-of-illness studies in nine Central and Eastern European countries," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(1), pages 155-172, June.
    4. Eleonora Fichera & John Gathergood, 2016. "Do Wealth Shocks Affect Health? New Evidence from the Housing Boom," Health Economics, John Wiley & Sons, Ltd., vol. 25(S2), pages 57-69, November.
    5. Terje P. Hagen & Unto Häkkinen & Tor Iversen & Søren Toksvig Klitkou & Tron Anders Moger & on behalf of the EuroHOPE study group, 2015. "Socio‐economic Inequality in the Use of Procedures and Mortality Among AMI Patients: Quantifying the Effects Along Different Paths," Health Economics, John Wiley & Sons, Ltd., vol. 24(S2), pages 102-115, December.
    6. repec:wly:hlthec:v:25:y:2016:i::p:57-69 is not listed on IDEAS
    7. Eva Deuchert & Sofie Cabus & Darjusch Tafreschi, 2014. "A Short Note On Economic Development And Socioeconomic Inequality In Female Body Weight," Health Economics, John Wiley & Sons, Ltd., vol. 23(7), pages 861-869, July.
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    Cited by:

    1. Roya Etminani-Ghasrodashti & Chen Kan & Muhammad Arif Qaisrani & Omer Mogultay & Houliang Zhou, 2021. "Examining the Impacts of the Built Environment on Quality of Life in Cancer Patients Using Machine Learning," Sustainability, MDPI, vol. 13(10), pages 1-19, May.
    2. Dawid Majcherek & Marzenna Anna Weresa & Christina Ciecierski, 2021. "A Cluster Analysis of Risk Factors for Cancer across EU Countries: Health Policy Recommendations for Prevention," IJERPH, MDPI, vol. 18(15), pages 1-14, July.

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