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Understanding the role of mediating risk factors and proxy effects in the association between socio-economic status and untreated hypertension

Author

Listed:
  • Colin Bell, A.
  • Adair, Linda S.
  • Popkin, Barry M.

Abstract

The association between socio-economic status (SES) and untreated hypertension varies according to a country's level of development and racial/ethnic group. We sought to confirm this variation in women from China and the United States (US) as well as to investigate the impact of SES on several mediating risk factors. We also investigate the extent to which SES explains racial/ethnic differences in untreated hypertension in the US. We used cross-sectional data from 1814 non-pregnant women in China (China Health and Nutrition Survey (CHNS), 1997) and 3266 non-pregnant women in the United States (National Health and Nutrition Examination Survey (NHANES III), 1988-1994) respectively. A variety of statistical modelling techniques was used to predict untreated hypertension as a function of several mediating factors and to simulate the impact of changes in SES. The age-adjusted prevalence of untreated hypertension was significantly higher (p

Suggested Citation

  • Colin Bell, A. & Adair, Linda S. & Popkin, Barry M., 2004. "Understanding the role of mediating risk factors and proxy effects in the association between socio-economic status and untreated hypertension," Social Science & Medicine, Elsevier, vol. 59(2), pages 275-283, July.
    • Handle: RePEc:eee:socmed:v:59:y:2004:i:2:p:275-283
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    Citations

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    Cited by:

    1. Van de Poel, Ellen & O'Donnell, Owen & Van Doorslaer, Eddy, 2009. "Urbanization and the spread of diseases of affluence in China," Economics & Human Biology, Elsevier, vol. 7(2), pages 200-216, July.
    2. Lei, Xiaoyan & Yin, Nina & Zhao, Yaohui, 2012. "Socioeconomic status and chronic diseases: The case of hypertension in China," China Economic Review, Elsevier, vol. 23(1), pages 105-121.
    3. Gorman, Bridget K. & Sivaganesan, Ahilan, 2007. "The role of social support and integration for understanding socioeconomic disparities in self-rated health and hypertension," Social Science & Medicine, Elsevier, vol. 65(5), pages 958-975, September.
    4. Yunyun Jiang & Haitao Zheng & Tianhao Zhao, 2019. "Socioeconomic Status and Morbidity Rate Inequality in China: Based on NHSS and CHARLS Data," IJERPH, MDPI, vol. 16(2), pages 1-19, January.
    5. Jyoti Rajan Sharma & Sihle E. Mabhida & Bronwyn Myers & Teke Apalata & Edward Nicol & Mongi Benjeddou & Christo Muller & Rabia Johnson, 2021. "Prevalence of Hypertension and Its Associated Risk Factors in a Rural Black Population of Mthatha Town, South Africa," IJERPH, MDPI, vol. 18(3), pages 1-17, January.

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