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Structural pluralism and all-cause mortality

Author

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  • Young, F.W.
  • Lyson, T.A.

Abstract

Objectives. This study tested the hypothesis that "structural pluralism" reduces age-standardized mortality rates. Structural pluralism is defined as the potential for political competition in communities. Methods. US counties were the units of analysis. Multiple regression techniques were used to test the hypothesis. Results. Structural pluralism is a stronger determinant of lower mortality than any of the other variables examined - specifically, income, education, and medical facilities. Conclusions. These findings support the case for a new structural variable, pluralism, as a possible cause of lower mortality, and they indirectly support the significance of comparable ecologic dimensions, such as social trust.

Suggested Citation

  • Young, F.W. & Lyson, T.A., 2001. "Structural pluralism and all-cause mortality," American Journal of Public Health, American Public Health Association, vol. 91(1), pages 136-138.
  • Handle: RePEc:aph:ajpbhl:2001:91:1:136-138_5
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    Cited by:

    1. Lee, Matthew R., 2010. "The protective effects of civic communities against all-cause mortality," Social Science & Medicine, Elsevier, vol. 70(11), pages 1840-1846, June.
    2. Nobles, Jenna & Brown, Ryan & Catalano, Ralph, 2010. "National independence, women's political participation, and life expectancy in Norway," Social Science & Medicine, Elsevier, vol. 70(9), pages 1350-1357, May.
    3. Danielle Christine Rhubart, 2017. "Identifying Associations Between State Medicaid Expansion Decisions and Spatial Disparities in County Insurance Rate Changes Under the Affordable Care Act," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 36(1), pages 109-135, February.
    4. Lois Morton & Chih Weng, 2009. "Getting to better water quality outcomes: the promise and challenge of the citizen effect," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 26(1), pages 83-94, March.
    5. Frank Young & Kris Merschrod, 2010. "Child Health and NGOs in Peruvian Provinces," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 98(2), pages 291-299, September.
    6. Young, Frank W. & Rodriguez, Eunice, 2005. "Types of provincial structure and population health," Social Science & Medicine, Elsevier, vol. 60(1), pages 87-95, January.

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