IDEAS home Printed from https://ideas.repec.org/a/eee/hepoli/v99y2011i2p116-123.html
   My bibliography  Save this article

Diabetes prevalence and income: Results of the Canadian Community Health Survey

Author

Listed:
  • Dinca-Panaitescu, Serban
  • Dinca-Panaitescu, Mihaela
  • Bryant, Toba
  • Daiski, Isolde
  • Pilkington, Beryl
  • Raphael, Dennis

Abstract

This paper contributes to a growing body of literature indicating the importance of income as a key socioeconomic status marker in accounting for the increased prevalence of type 2 diabetes (T2DM).Methods We analyzed data from the Canadian Community Health Survey cycle 3.1 conducted by Statistics Canada. Descriptive statistics on the prevalence of self-reported diabetes were computed. Multiple logistic regression was used to examine the association between income and prevalence of T2DM.Results In 2005 an estimated 1.3 million Canadians (4.9%) reported having diabetes. The prevalence of T2DM in the lowest income group is 4.14 times higher than in the highest income group. Prevalence of diabetes decreases steadily as income goes up. The likelihood of diabetes was significantly higher for low-income groups even after adjusting for socio-demographic status, housing, BMI and physical activity. There is a graded association between income and diabetes with odds ratios almost double for men (OR 1.94, 95% CI 1.57-2.39) and almost triple for women (OR 2.75 95% CI 2.24-3.37) in the lowest income compared to those in highest income.Conclusion These findings suggest that strategies for diabetes prevention should combine person-centered approaches generally recommended in the diabetes literature research with public policy approaches that acknowledge the role of socioeconomic position in shaping T2DM prevalence/incidence.

Suggested Citation

  • Dinca-Panaitescu, Serban & Dinca-Panaitescu, Mihaela & Bryant, Toba & Daiski, Isolde & Pilkington, Beryl & Raphael, Dennis, 2011. "Diabetes prevalence and income: Results of the Canadian Community Health Survey," Health Policy, Elsevier, vol. 99(2), pages 116-123, February.
  • Handle: RePEc:eee:hepoli:v:99:y:2011:i:2:p:116-123
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0168-8510(10)00224-1
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Lynch, J. W. & Kaplan, G. A. & Salonen, J. T., 1997. "Why do poor people behave poorly? Variation in adult health behaviours and psychosocial characteristics by stages of the socioeconomic lifecourse," Social Science & Medicine, Elsevier, vol. 44(6), pages 809-819, March.
    2. Linda A. Wray & Duane F. Alwin & Ryan J. McCammon & Timothy Manning & Latrica E. Best, 2006. "Social Status, Risky Health Behaviors, and Diabetes in Middle-Aged and Older Adults," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 61(6), pages 290-298.
    3. James P. Smith, 2007. "The Impact of Socioeconomic Status on Health over the Life-Course," Journal of Human Resources, University of Wisconsin Press, vol. 42(4).
    4. Maty, S.C. & James, S.A. & Kaplan, G.A., 2010. "Life-course socioeconomic position and incidence of diabetes mellitus among blacks and whites: The Alameda County Study, 1965-1999," American Journal of Public Health, American Public Health Association, vol. 100(1), pages 137-145.
    5. Robbins, J.M. & Vaccarino, V. & Zhang, H. & Kasl, S.V., 2001. "Socioeconomic status and type 2 diabetes in African American and non-Hispanic White women and men: Evidence from the Third National Health and Nutrition Examination Survey," American Journal of Public Health, American Public Health Association, vol. 91(1), pages 76-83.
    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. Nam Jeong Jeong & Eunil Park & Angel P. del Pobil, 2021. "Effects of Behavioral Risk Factors and Social-Environmental Factors on Non-Communicable Diseases in South Korea: A National Survey Approach," IJERPH, MDPI, vol. 18(2), pages 1-11, January.
    2. Weaver, Robert R. & Lemonde, Manon & Payman, Naghmeh & Goodman, William M., 2014. "Health capabilities and diabetes self-management: The impact of economic, social, and cultural resources," Social Science & Medicine, Elsevier, vol. 102(C), pages 58-68.
    3. Brassolotto, Julia & Daly, Tamara, 2016. "Scarcity discourses and their impacts on renal care policy, practices, and everyday experiences in rural British Columbia," Social Science & Medicine, Elsevier, vol. 152(C), pages 138-146.
    4. Ifechukwude Obiamaka Okwechime & Shamarial Roberson & Agricola Odoi, 2015. "Prevalence and Predictors of Pre-Diabetes and Diabetes among Adults 18 Years or Older in Florida: A Multinomial Logistic Modeling Approach," PLOS ONE, Public Library of Science, vol. 10(12), pages 1-17, December.
    5. Misuzu Fujita & Yasunori Sato & Kengo Nagashima & Sho Takahashi & Akira Hata, 2016. "Income Related Inequality of Health Care Access in Japan: A Retrospective Cohort Study," PLOS ONE, Public Library of Science, vol. 11(3), pages 1-19, March.
    6. Mitsuhiko Funakoshi & Yasushi Azami & Hisashi Matsumoto & Akemi Ikota & Koichi Ito & Hisashi Okimoto & Nobuaki Shimizu & Fumihiro Tsujimura & Hiroshi Fukuda & Chozi Miyagi & Sayaka Osawa & Ryo Osawa &, 2017. "Socioeconomic status and type 2 diabetes complications among young adult patients in Japan," PLOS ONE, Public Library of Science, vol. 12(4), pages 1-14, April.
    7. Chaufan, Claudia & Saliba, Daniel, 2019. "The global diabetes epidemic and the nonprofit state corporate complex: Equity implications of discourses, research agendas, and policy recommendations of diabetes nonprofit organizations," Social Science & Medicine, Elsevier, vol. 223(C), pages 77-88.

    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. Shoham, David A. & Vupputuri, Suma & Kaufman, Jay S. & Kshirsagar, Abhijit V. & Diez Roux, Ana V. & Coresh, Josef & Heiss, Gerardo, 2008. "Kidney disease and the cumulative burden of life course socioeconomic conditions: The Atherosclerosis Risk in Communities (ARIC) Study," Social Science & Medicine, Elsevier, vol. 67(8), pages 1311-1320, October.
    2. Daniel Nettle, 2010. "Why Are There Social Gradients in Preventative Health Behavior? A Perspective from Behavioral Ecology," PLOS ONE, Public Library of Science, vol. 5(10), pages 1-6, October.
    3. Galama, Titus & Kapteyn, Arie, 2011. "Grossman’s missing health threshold," Journal of Health Economics, Elsevier, vol. 30(5), pages 1044-1056.
    4. Dalton, Patricio S. & Nhung, Nguyen & Rüschenpöhler, Julius, 2020. "Worries of the poor: The impact of financial burden on the risk attitudes of micro-entrepreneurs," Journal of Economic Psychology, Elsevier, vol. 79(C).
    5. Aue, Katja & Roosen, Jutta, 2010. "Poverty and health behaviour: Comparing socioeconomic status and a combined poverty indicator as a determinant of health behaviour," 115th Joint EAAE/AAEA Seminar, September 15-17, 2010, Freising-Weihenstephan, Germany 116401, European Association of Agricultural Economists.
    6. Chen, Duan-Rung & Wen, Tzai-Hung, 2010. "Socio-spatial patterns of neighborhood effects on adult obesity in Taiwan: A multi-level model," Social Science & Medicine, Elsevier, vol. 70(6), pages 823-833, March.
    7. Missinne, Sarah & Colman, Elien & Bracke, Piet, 2013. "Spousal influence on mammography screening: A life course perspective," Social Science & Medicine, Elsevier, vol. 98(C), pages 63-70.
    8. McNeill, Lorna Haughton & Kreuter, Matthew W. & Subramanian, S.V., 2006. "Social Environment and Physical activity: A review of concepts and evidence," Social Science & Medicine, Elsevier, vol. 63(4), pages 1011-1022, August.
    9. Janet Currie & Mark Stabile & Phongsack Manivong & Leslie L. Roos, 2010. "Child Health and Young Adult Outcomes," Journal of Human Resources, University of Wisconsin Press, vol. 45(3).
    10. ZHONG, Hai, 2015. "An over time analysis on the mechanisms behind the education–health gradients in China," China Economic Review, Elsevier, vol. 34(C), pages 135-149.
    11. Teresa Bago d'Uva & Maarten Lindeboom & Owen O'Donnell & Eddy van Doorslaer, 2011. "Education‐related inequity in healthcare with heterogeneous reporting of health," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 174(3), pages 639-664, July.
    12. Vander Ploeg, Kerry A. & Maximova, Katerina & McGavock, Jonathan & Davis, Wendy & Veugelers, Paul, 2014. "Do school-based physical activity interventions increase or reduce inequalities in health?," Social Science & Medicine, Elsevier, vol. 112(C), pages 80-87.
    13. Mathieu Ichou & Matthew Wallace, 2019. "The Healthy Immigrant Effect: The role of educational selectivity in the good health of migrants," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 40(4), pages 61-94.
    14. Julien Hugonnier & Florian Pelgrin & Pascal St‐Amour, 2020. "Closing down the shop: Optimal health and wealth dynamics near the end of life," Health Economics, John Wiley & Sons, Ltd., vol. 29(2), pages 138-153, February.
    15. Tonje Holte Stea & Herolinda Shatri & Siri Håvås Haugland & Annette Løvheim Kleppang, 2022. "Association between Self-Reported Childhood Difficulties and Obesity and Health-Related Behaviors in Adulthood—A Cross-Sectional Study among 28,047 Adults from the General Population," IJERPH, MDPI, vol. 19(3), pages 1-13, January.
    16. Amélie Adeline & Ismaël Choinière Crèvecoeur & Raquel Fonseca & Pierre-Carl Michaud, 2019. "Income Volatility, Health and Well-Being," Cahiers de recherche / Working Papers 1906, Chaire de recherche sur les enjeux économiques intergénérationnels / Research Chair in Intergenerational Economics.
    17. Janet Currie & Hannes Schwandt & Josselin Thuilliez, 2020. "Pauvreté, Egalité, Mortalité: mortality (in)equality in France and the United States," Journal of Population Economics, Springer;European Society for Population Economics, vol. 33(1), pages 197-231, January.
    18. Davidson, Rosemary & Kitzinger, Jenny & Hunt, Kate, 2006. "The wealthy get healthy, the poor get poorly? Lay perceptions of health inequalities," Social Science & Medicine, Elsevier, vol. 62(9), pages 2171-2182, May.
    19. Lång, Elisabeth & Nystedt, Paul, 2018. "Blowing up money? The earnings penalty of smoking in the 1970s and the 21st century," Journal of Health Economics, Elsevier, vol. 60(C), pages 39-52.
    20. Anne Case & Christina Paxson, 2011. "The Long Reach of Childhood Health and Circumstance: Evidence from the Whitehall II Study," Economic Journal, Royal Economic Society, vol. 121(554), pages 183-204, August.

    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:eee:hepoli:v:99:y:2011:i:2:p:116-123. 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: Catherine Liu or the person in charge (email available below). General contact details of provider: http://www.elsevier.com/locate/healthpol .

    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.