IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i21p9080-d438354.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/21/9080/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/12/21/9080/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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. 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.
    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. repec:wly:hlthec:v:25:y:2016:i::p:57-69 is not listed on IDEAS
    6. 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.
    7. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Giuseppe RICCIARDO LAMONICA, 2002. "La funzionalita' nelle zone omogenee delle Marche," Working Papers 165, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    2. Roberto Rocci & Stefano Antonio Gattone & Roberto Di Mari, 2018. "A data driven equivariant approach to constrained Gaussian mixture modeling," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 12(2), pages 235-260, June.
    3. N. Meltem Daysal & Michael F. Lovenheim & David N. Wasser, 2023. "The Intergenerational Transmission of Housing Wealth," CESifo Working Paper Series 10647, CESifo.
    4. Atalay, Kadir & Edwards, Rebecca, 2022. "House prices, housing wealth and financial well-being," Journal of Urban Economics, Elsevier, vol. 129(C).
    5. Davillas, Apostolos & de Oliveira, Victor Hugo & Jones, Andrew M., 2023. "Is inconsistent reporting of self-assessed health persistent and systematic? Evidence from the UKHLS," Economics & Human Biology, Elsevier, vol. 49(C).
    6. Mario Saia & Domenico Mantoan & Marco Fonzo & Chiara Bertoncello & Marta Soattin & Milena Sperotto & Tatjana Baldovin & Patrizia Furlan & Maria Luisa Scapellato & Guido Viel & Vincenzo Baldo & Silvia , 2018. "Impact of the Regional Network for AMI in the Management of STEMI on Care Processes, Outcomes and Health Inequities in the Veneto Region, Italy," IJERPH, MDPI, vol. 15(9), pages 1-14, September.
    7. Karolina Pawlak & Luboš Smutka & Pavel Kotyza, 2021. "Agricultural Potential of the EU Countries: How Far Are They from the USA?," Agriculture, MDPI, vol. 11(4), pages 1-21, March.
    8. Aurora Torrente & Juan Romo, 2021. "Initializing k-means Clustering by Bootstrap and Data Depth," Journal of Classification, Springer;The Classification Society, vol. 38(2), pages 232-256, July.
    9. Anca Gabriela Ilie & Marinela Luminita Emanuela Zlatea & Cristina Negreanu & Dan Dumitriu & Alma Pentescu, 2023. "Reliance on Russian Federation Energy Imports and Renewable Energy in the European Union," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 25(64), pages 780-780, August.
    10. Hannes Schwandt, 2018. "Wealth Shocks and Health Outcomes: Evidence from Stock Market Fluctuations," American Economic Journal: Applied Economics, American Economic Association, vol. 10(4), pages 349-377, October.
    11. Smith, Lindsey P. & Ng, Shu Wen & Popkin, Barry M., 2014. "No time for the gym? Housework and other non-labor market time use patterns are associated with meeting physical activity recommendations among adults in full-time, sedentary jobs," Social Science & Medicine, Elsevier, vol. 120(C), pages 126-134.
    12. Tafreschi, Darjusch, 2015. "The income body weight gradients in the developing economy of China," Economics & Human Biology, Elsevier, vol. 16(C), pages 115-134.
    13. Munford, Luke A. & Fichera, Eleonora & Sutton, Matt, 2020. "Is owning your home good for your health? Evidence from exogenous variations in subsidies in England," Economics & Human Biology, Elsevier, vol. 39(C).
    14. Raquel Lourenço Carvalhal Monteiro & Valdecy Pereira & Helder Gomes Costa, 2019. "Analysis of the Better Life Index Trough a Cluster Algorithm," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 142(2), pages 477-506, April.
    15. Henner Gimpel & Daniel Rau & Maximilian Röglinger, 2018. "Understanding FinTech start-ups – a taxonomy of consumer-oriented service offerings," Electronic Markets, Springer;IIM University of St. Gallen, vol. 28(3), pages 245-264, August.
    16. Vincent Claude B & Eastman Byron, 2009. "Defining the Style of Play in the NHL: An Application of Cluster Analysis," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 5(1), pages 1-23, January.
    17. Marek Walesiak, 2018. "The Choice Of Normalization Method And Rankings Of The Set Of Objects Based On Composite Indicator Values," Statistics in Transition New Series, Polish Statistical Association, vol. 19(4), pages 693-710, December.
    18. Dauda Usman & Ismail Mohamad, 2013. "A Novel Center Point Initialization Technique for K-means Clustering Algorithm," Modern Applied Science, Canadian Center of Science and Education, vol. 7(9), pages 1-10, September.
    19. Mitra, Suman & Yao, Mingqi & Ritchie, Stephen G., 2021. "Gender differences in elderly mobility in the United States," Transportation Research Part A: Policy and Practice, Elsevier, vol. 154(C), pages 203-226.
    20. Tran, My & Gannon, Brenda & Rose, Christiern, 2023. "The effect of housing wealth on older adults’ health care utilization: Evidence from fluctuations in the U.S. housing market," Journal of Health Economics, Elsevier, vol. 88(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:12:y:2020:i:21:p:9080-:d:438354. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.