Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2008 Nov 10:8:383.
doi: 10.1186/1471-2458-8-383.

The non-linear risk of mortality by income level in a healthy population: US National Health and Nutrition Examination Survey mortality follow-up cohort, 1988-2001

Affiliations

The non-linear risk of mortality by income level in a healthy population: US National Health and Nutrition Examination Survey mortality follow-up cohort, 1988-2001

David H Rehkopf et al. BMC Public Health. .

Abstract

Background: An examination of where in the income distribution income is most strongly associated with risk of mortality will provide guidance for identifying the most critical pathways underlying the connections between income and mortality, and may help to inform public health interventions to reduce socioeconomic disparities. Prior studies have suggested stronger associations at the lower end of the income distribution, but these studies did not have detailed categories of income, were unable to exclude individuals whose declining health may affect their income and did not use methods to determine exact threshold points of non-linearity. The purpose of this study is to describe the non-linear risks of all-cause and cause-specific mortality across the income distribution.

Methods: We examined potential non-linear risk of mortality by family income level in a population that had not retired early, changed jobs, or changed to part-time work due to health reasons, in order to minimize the effects of illness on income. We used data from the US National Health and Nutrition Examination Survey (1988-1994), among individuals age 18-64 at baseline, with mortality follow-up to the year 2001 (ages 25-77 at the end of follow-up, 106 037 person-years of time at risk). Differential risk of mortality was examined using proportional hazard models with penalized regression splines in order to allow for non-linear associations between mortality risk and income, controlling for age, race/ethnicity, marital status, level of educational attainment and occupational category.

Results: We observed significant non-linear risks of all-cause mortality, as well as for certain specific causes of death at different levels of income. Typically, risk of mortality decreased with increasing income levels only among persons whose family income was below the median; above this level, there was little decreasing risk of mortality with higher levels of income. There was also some variation in mortality risk at different levels of income by cause and gender.

Conclusion: The majority of the income associated mortality risk in individuals between the ages of 18-77 in the United States is among the population whose family income is below the median (equal to $20,190 in 1991, 3.2 times the poverty level). Efforts to decrease socioeconomic disparities may have the greatest impact if focused on this population.

PubMed Disclaimer

Figures

Figure 1
Figure 1
Hazard ratios of all-cause mortality and income, ages 18–64, NHANES, 1988–2001. Models control for age, race/ethnicity, marital status, occupational category and education (and income is adjusted for family size), and the population is restricted to individuals who did not die within one year of follow-up, retire early due to health reasons, change jobs due to health reasons, or change to part-time work due to health reasons. A hazard ratio of 1 is equivalent to the average risk of mortality across the income distribution. The overlaid histogram shows the population distribution by income level, and the labels of income level (in 1991 dollars) on the X-axis denote the family size equivalized US poverty line ($6,270) and the US equivalized median income ($20,190) as external standards of comparison. Dashed lines show 95% confidence intervals of the hazard ratio.
Figure 2
Figure 2
Hazard ratios for cause-specific mortality and income, ages 18–64, NHANES, 1988–2001. Models control for age and race/ethnicity, marital status, occupational category and education (and income is adjusted for family size), and the population is restricted to individuals who did not die within one year of follow-up, retire early due to health reasons, change jobs due to health reasons, or change to part-time work due to health reasons. A hazard ratio of 1 is equivalent to the average risk of mortality across the income distribution. The labels of income level (in 1991 dollars) on the X-axis denote the family size equivalized US poverty line ($6,270) and the US equivalized median income ($20,190) as external standards of comparison. Dashed lines show 95% confidence intervals of the hazard ratio.

References

    1. Pappas G, Queen S, Hadden W, Fisher G. The increasing disparity in mortality between socioeconomic groups in the United States, 1960 and 1986. N Engl J Med. 1993;392:103–109. doi: 10.1056/NEJM199307083290207. - DOI - PubMed
    1. Kitagawa E, Hauser P. Differential Mortality in the United States. Cambridge, MA: Harvard University Press; 1973.
    1. DHHS . In: Healthy People 2010. 2. Services USDoHaH, editor. Washington, DC: U.S. Government Printing Office; 2000.
    1. Marmot M. The Influence of Income on Health: Views of an Epidemiologist. Health Affairs. 2002;21:31–46. doi: 10.1377/hlthaff.21.2.31. - DOI - PubMed
    1. M E, Ben-Shlomo Y, Marmot M. Social deprivation and premature mortality: regional comparison across England. BMJ. 1993;307:1097–1102. - PMC - PubMed

LinkOut - more resources