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AJPH First Look, published online ahead of print Feb 28, 2006
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April 2006, Vol 96, No. 4 | American Journal of Public Health 590-591
© 2006 American Public Health Association
DOI: 10.2105/AJPH.2005.079897


LETTER

ASSOCIATION BETWEEN INCOME INEQUALITY AND MORTALITY AMONG US STATES: CONSIDERING POPULATION AT RISK

Andreas Muller, PhD

Correspondence: Requests for reprints should be sent to Andreas Muller, PhD, Department of Health Policy and Management, Fay W. Boozman College of Public Health, University of Arkansas for Medical Sciences, 4301 W Markham, #820, Little Rock, AR 72205 (e-mail: amuller{at}uams.edu).

Lynch et al.’s recent analysis of the last 6 US census periods suggests that the relationship between income inequality and mortality is less enduring than was previously thought.1 Statistically significant correlations between state household Gini coefficients and age-adjusted death rates were reported only for the years 1979, 1989, and 1999.

The graphs presented by Lynch et al. omit the population at risk. The authors treat the state as the unit of analysis, which ignores the substantial variation in state populations. From the perspective of population exposure, state-based correlations will favor less populous states. Weighting the correlations by state population will correct this bias and provide an alternate perspective. A population-weighted analysis is also reasonable because income inequality is considered to be a risk factor for individual health.2,3

In Figure 1Go, state-based correlations between state household Gini coefficients and age-adjusted death rates are compared with population-weighted correlations; the year 2000 is used as the standard.4,5 Each state is represented by a circle, and the size of the circle indicates the size of the state’s population. The filled circles represent the 10 most populous states (in descending order, California, Texas, New York, Florida, Illinois, Pennsylvania, Ohio, Michigan, New Jersey, and Georgia).


Figure 1
Figure 1
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FIGURE 1— State-based correlations between state household Gini coefficients and age-adjusted death rates compared with population-weighted correlations: United States, 1979 (a), 1989 (b), and 1999 (c).

Note. Circles represent states and are sized according to population size; filled circles represent the 10 most populous states.

 
Except for the year 1989, the population-weighted correlations are substantially weaker than the ones reported by Lynch et al. The filled circles in Figure 1Go reveal the reason for this. There appears to be no association between income inequality and mortality in the 10 most populous states in 1989. In 1979 and 1999 the associations appear to be negative, results that conflict with theory.6 Incidentally, the most populous states include some of the largest cities with the highest degrees of income inequality.7

As observed by Lynch et al., the population-based correlations indicate that only the year 1989 was exceptional, showing a strong correlation between income inequality and mortality in US states. The lack of correlation for the year 1999 is certainly unexpected, as US income inequality did not decline in the 1990s.8

The inconsistent results found in the population-based analysis suggest that the association between income inequality and mortality is less pervasive than reported by Lynch et al. The temporal volatility of the population-based correlations probably reflects the work of known confounders such as educational attainment, racial composition, population residence, and household income.9,10 Statistically controlling for such factors might clarify the association between income inequality and mortality in the United States.

References

1. Lynch J, Harper S, Kaplan GA, Davey Smith G. Association between income inequality and mortality among US states: the importance of time period and source of income data. Am J Public Health. 2005;95: 1424–1430.[Abstract/Free Full Text]

2. Wilkinson RG. Income distribution and life expectancy. BMJ. 1992;304:165–168.[Free Full Text]

3. Pickett KE, Kelly S, Brunner E, Lobstein T, Wilkinson RG. Wider income gaps, wider waistbands? An ecological study of obesity and income inequality. J Epidemiol Community Health. 2005;59:670–674.[Abstract/Free Full Text]

4. US Census Bureau. Income. Table S4. Gini ratios by state: 1969, 1979, 1989, 1999. Available at: http://www.census.gov/hhes/www/income/histinc/state/state4.html. Accessed January 12, 2006.

5. CDC Wonder. Compressed mortality file. Available at: http://wonder.cdc.gov/mortSQL.html. Accessed September 23, 2005.

6. Deaton A. Health, inequality, and economic development. J Econ Lit. 2003;41:113–158.[CrossRef][Web of Science]

7. Jones AF, Weinberg DH. The Changing Shape of the Nation’s Income Distribution, 1947–1998. Washington, DC: US Census Bureau; 2000. Current Population Reports, P60–204. Also available at: http://www.census.gov/prod/2000pubs/p60-204.pdf. Accessed January 12, 2006.

8. Rodgers A, Lazere E. Income inequality in the District of Columbia is wider than in any major US. city. Available at: http://www.dcfpi.org/7-22-04pov.pdf. Accessed January 12, 2006.

9. Deaton A, Lubotsky D. Mortality, inequality and race in American cities and states. Soc Sci Med. 2003; 56:1139–1153.[CrossRef][Web of Science][Medline]

10. Muller A. Education, income inequality, and mortality: a multiple regression analysis. BMJ. 2002;324: 23–25.[Abstract/Free Full Text]





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Right arrow Mortality


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