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Socioeconomic gradients in chronic disease risk factors in middle-income countries: Evidence of effect modification by urbanicity in Argentina

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  • Fleischer, N.L.
  • Diez Roux, A.V.
  • Alazraqui, M.
  • Spinelli, H.
  • De Maio, F.

Abstract

Objectives. We investigated associations of socioeconomic position (SEP) with chronic disease risk factors, and heterogeneity in this patterning by provincial-level urbanicity in Argentina. Methods. We used generalized estimating equations to determine the relationship between SEP and body mass index, high blood pressure, diabetes, low physical activity, and eating fruit and vegetables, and examined heterogeneity by urbanicity with nationally representative, cross-sectional survey data from 2005. All estimates were age adjusted and gender stratified. Results. Among men living in less urban areas, higher education was either not associated with the risk factors or associated adversely. In more urban areas, higher education was associated with better risk factor profiles (P

Suggested Citation

  • Fleischer, N.L. & Diez Roux, A.V. & Alazraqui, M. & Spinelli, H. & De Maio, F., 2011. "Socioeconomic gradients in chronic disease risk factors in middle-income countries: Evidence of effect modification by urbanicity in Argentina," American Journal of Public Health, American Public Health Association, vol. 101(2), pages 294-301.
    • Handle: RePEc:aph:ajpbhl:10.2105/ajph.2009.190165_7
    DOI: 10.2105/AJPH.2009.190165
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    Cited by:

    1. Md Ismail Tareque & Atsushi Koshio & Andrew D Tiedt & Toshihiko Hasegawa, 2015. "Are the Rates of Hypertension and Diabetes Higher in People from Lower Socioeconomic Status in Bangladesh? Results from a Nationally Representative Survey," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-17, May.
    2. Bruno Linetzky & Fernando Maio & Daniel Ferrante & Jonatan Konfino & Carlos Boissonnet, 2013. "Sex-stratified socio-economic gradients in physical inactivity, obesity, and diabetes: evidence of short-term changes in Argentina," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 58(2), pages 277-284, April.
    3. Adolfo Rubinstein & Laura Gutierrez & Andrea Beratarrechea & Vilma E Irazola, 2014. "Increased Prevalence of Diabetes in Argentina Is Due to Easier Health Care Access Rather than to an Actual Increase in Prevalence," PLOS ONE, Public Library of Science, vol. 9(4), pages 1-5, April.
    4. Aguilar-Gómez , Sandra & Cárdenas, Juan Camilo & Salas Díaz, Ricardo, 2024. "Environmental Justice Beyond Race: Skin Tone and Exposure to Air Pollution," Documentos CEDE 21042, Universidad de los Andes, Facultad de Economía, CEDE.
    5. Stöber, Jakob & Hong, Hyokyoung Grace & Czado, Claudia & Ghosh, Pulak, 2015. "Comorbidity of chronic diseases in the elderly: Patterns identified by a copula design for mixed responses," Computational Statistics & Data Analysis, Elsevier, vol. 88(C), pages 28-39.

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