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Healthy behaviors among women in the United States and Ontario: The effect on use of preventive care

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  • Hofer, T.P.
  • Katz, S.J.

Abstract

Objectives. This study examined how several healthy behaviors among women in Ontario and the United States explained (1) the use of preventive health services, (2) differences in use between socioeconomic groups, and (3) differences in use between the two health systems. Methods. 1990 data on women from the Ontario Health Survey (n = 22 985) and the US National Health Interview Survey (n = 19 092) were analyzed. A woman who avoided smoking and obesity, used seatbelts, and regularly engaged in aerobic exercise was defined as having a healthy lifestyle. Women were considered screened if they reported a mammogram or a breast exam within the previous year or a Pap smear within 2 years. Results. A healthy lifestyle was more common in the United States than Canada among more highly educated groups (odds ratio [OR] = 1.40; 95% confidence interval [CI] = 1.22, 1.60 for college educated) but less common in the United States for those with less than a high school education (OR = 0.52; 95% CI = 0.40, 0.67). Each additional unhealthy behavior decreased the odds of having undergone a mammogram in the previous year by 20%. However, adjusting for the number of unhealthy behaviors did not substantially change the relationship between socioeconomic status and use of preventive services. Conclusions. The number of healthy behaviors is an important measure of demand for preventive health services. This measure varies across country and socioeconomic group.

Suggested Citation

  • Hofer, T.P. & Katz, S.J., 1996. "Healthy behaviors among women in the United States and Ontario: The effect on use of preventive care," American Journal of Public Health, American Public Health Association, vol. 86(12), pages 1755-1759.
    • Handle: RePEc:aph:ajpbhl:10.2105/ajph.86.12.1755_4
    DOI: 10.2105/AJPH.86.12.1755
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    Cited by:

    1. Aniko Biro;, 2012. "An analysis of mammography decisions with a focus on educational differences," Health, Econometrics and Data Group (HEDG) Working Papers 12/11, HEDG, c/o Department of Economics, University of York.
    2. Myoung‐Jae Lee & Satoru Kobayashi, 2001. "Proportional treatment effects for count response panel data: effects of binary exercise on health care demand," Health Economics, John Wiley & Sons, Ltd., vol. 10(5), pages 411-428, July.
    3. Mapa Mudiyanselage Prabhath Nishantha Piyasena & Gudlavalleti Venkata S Murthy & Jennifer L Y Yip & Clare Gilbert & Maria Zuurmond & Tunde Peto & Iris Gordon & Suwin Hewage & Sureshkumar Kamalakannan, 2019. "Systematic review on barriers and enablers for access to diabetic retinopathy screening services in different income settings," PLOS ONE, Public Library of Science, vol. 14(4), pages 1-29, April.
    4. Anikó Bíró, 2013. "Discount Rates And The Education Gradient In Mammography In The Uk," Health Economics, John Wiley & Sons, Ltd., vol. 22(9), pages 1021-1036, September.

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