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International Journal of Epidemiology 2003;32:663-670
© International Epidemiological Association 2003


Essay Review

Rates and states: reflections on the health of nations

John Lynch1 and George Davey Smith2

1 Department of Epidemiology, Center for Human Growth and Development, and Institute for Social Research, University of Michigan, 109 Observatory Street, Ann Arbor, MI 48109-2029, USA.
2 Department of Social Medicine, University of Bristol, Canynge Hall, Whiteladies Road, Bristol, BS8 2PR, UK.

The Health of Nations. Why Inequality is Harmful to Your Health. Kawachi I, Kennedy BP. New York: The New Press, 2002, pp. 232 (HB), $25.95. ISBN: 1 565 84582 X.

The first 150 words of the full text of this article appear below.

Writing a book titled The Health of Nations1 is surely a daunting and ambitious task considering it is only one consonant removed from the popular title of Adam Smith’s famous Wealth of Nations.2 Nevertheless, Harvard social epidemiologists Ichiro Kawachi and Bruce Kennedy revel in the challenge and have managed to integrate a vast amount of information in an attempt to help us better understand why social inequality in its various forms can be damaging to health, happiness, and the quality of human existence. This book is primarily about the goals of economic development and how we should evaluate its successes and failures. In this sense the authors are onto something fundamentally important. Kawachi and Kennedy question whether Americans are happier or healthier as a result of all their accumulation and consumption of goods and services. They answer no. More snappily, they suggest that ‘chasing the American Dream can be . . . [Full Text of this Article]


    Is population health collapsing?
 

    Expanding the explanatory framework for the determinants of population health
 

    The influence of life course processes at the individual and population levels
 

    Strengthening the evidence base for the importance of psychosocial factors in influencing population health
 

    The Roseto Effect—What are the lessons for population health?
 

    Conclusion
 

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