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Distribution of education and population health: An ecological analysis of New York City neighborhoods

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  • Galea, S.
  • Ahern, J.

Abstract

Objectives. We assessed the relationship between distribution of education and health indicators in a large urban area to determine if distribution of education may be a determinant of population health. Methods. We studied the association between distribution of education, measured with the education Gini coefficient, and rates of 8 health indicators in 59 neighborhoods in New York City. Results. In separate adjusted ecological models, neighborhoods with more poorly distributed education had better population health indicators that might plausibly be associated with short-term changes in the social environment (e.g., homicide and infant mortality rate); there was no association between education distribution and health indicators more likely to be associated with long-term accumulation of social and behavioral stressors (e.g., cardiovascular disease and chronic lung disease mortality rates). These findings were robust to measures of income and to adjustment for several potential confounders (e.g., gender and race/ethnicity). Conclusions. The presence in a neighborhood of highly educated people may be salutary for all residents, independent of the potentially deleterious consequences of income maldistribution.

Suggested Citation

  • Galea, S. & Ahern, J., 2005. "Distribution of education and population health: An ecological analysis of New York City neighborhoods," American Journal of Public Health, American Public Health Association, vol. 95(12), pages 2198-2205.
    • Handle: RePEc:aph:ajpbhl:10.2105/ajph.2004.050617_8
    DOI: 10.2105/AJPH.2004.050617
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    Cited by:

    1. Çoban, Serap, 2008. "The Relationships among Mortality Rates, Income and Educational Inequality in Terms of Economic Growth: A Comparison between Turkey and the Euro Area," MPRA Paper 13296, University Library of Munich, Germany.
    2. Jia Guo & Robin Whittemore & Guo‐Ping He, 2010. "Factors that influence health quotient in Chinese college undergraduates," Journal of Clinical Nursing, John Wiley & Sons, vol. 19(1‐2), pages 145-155, January.
    3. Kathleen Sherrieb & Fran Norris & Sandro Galea, 2010. "Measuring Capacities for Community Resilience," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 99(2), pages 227-247, November.
    4. Cerdá, Magdalena & Johnson-Lawrence, Vicki D. & Galea, Sandro, 2011. "Lifetime income patterns and alcohol consumption: Investigating the association between long- and short-term income trajectories and drinking," Social Science & Medicine, Elsevier, vol. 73(8), pages 1178-1185.
    5. Antonio Boing & S. Subramanian, 2015. "The influence of area-level education on body mass index, waist circumference and obesity according to gender," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 60(6), pages 727-736, September.
    6. Thomas Vartanian & Linda Houser, 2012. "The Effects of Childhood SNAP Use and Neighborhood Conditions on Adult Body Mass Index," Demography, Springer;Population Association of America (PAA), vol. 49(3), pages 1127-1154, August.
    7. Zhang, Wei & McCubbin, Hamilton & McCubbin, Laurie & Chen, Qi & Foley, Shirley & Strom, Ida & Kehl, Lisa, 2010. "Education and self-rated health: An individual and neighborhood level analysis of Asian Americans, Hawaiians, and Caucasians in Hawaii," Social Science & Medicine, Elsevier, vol. 70(4), pages 561-569, February.

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