Skip to main content
Top
Published in: BMC Public Health 1/2008

Open Access 01-12-2008 | Research article

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

Authors: David H Rehkopf, Lisa F Berkman, Brent Coull, Nancy Krieger

Published in: BMC Public Health | Issue 1/2008

Login to get access

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.
Appendix
Available only for authorised users
Literature
1.
go back to reference 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. 10.1056/NEJM199307083290207.CrossRef 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. 10.1056/NEJM199307083290207.CrossRef
2.
go back to reference Kitagawa E, Hauser P: Differential Mortality in the United States. 1973, Cambridge, MA: Harvard University PressCrossRef Kitagawa E, Hauser P: Differential Mortality in the United States. 1973, Cambridge, MA: Harvard University PressCrossRef
3.
go back to reference DHHS: Healthy People 2010. Edited by: Services USDoHaH. 2000, Washington, DC: U.S. Government Printing Office, 2 DHHS: Healthy People 2010. Edited by: Services USDoHaH. 2000, Washington, DC: U.S. Government Printing Office, 2
4.
go back to reference Marmot M: The Influence of Income on Health: Views of an Epidemiologist. Health Affairs. 2002, 21: 31-46. 10.1377/hlthaff.21.2.31.CrossRefPubMed Marmot M: The Influence of Income on Health: Views of an Epidemiologist. Health Affairs. 2002, 21: 31-46. 10.1377/hlthaff.21.2.31.CrossRefPubMed
5.
go back to reference M E, Ben-Shlomo Y, Marmot M: Social deprivation and premature mortality: regional comparison across England. BMJ. 1993, 307: 1097-1102.CrossRef M E, Ben-Shlomo Y, Marmot M: Social deprivation and premature mortality: regional comparison across England. BMJ. 1993, 307: 1097-1102.CrossRef
6.
go back to reference Martikainen P, Makela P, Kosknen S, Valkonen T: Income differences in mortality: a register-based follow-up study of three million men and women. Int J Epidemiol. 2001, 30: 1397-1405. 10.1093/ije/30.6.1397.CrossRefPubMed Martikainen P, Makela P, Kosknen S, Valkonen T: Income differences in mortality: a register-based follow-up study of three million men and women. Int J Epidemiol. 2001, 30: 1397-1405. 10.1093/ije/30.6.1397.CrossRefPubMed
7.
go back to reference CSDH: Achieving Health Equity: from root causes to fair outcomes. Edited by: Health CoSDo. 2007 CSDH: Achieving Health Equity: from root causes to fair outcomes. Edited by: Health CoSDo. 2007
8.
go back to reference Blakely T, Kawachi I, Atkinson J, Fawcett J: Income and mortality: the shape of the association and confounding New Zealand Census-Mortality Study, 1981–1999. Int J Epidemiol. 2004, 33 (4): 874-883. 10.1093/ije/dyh156.CrossRefPubMed Blakely T, Kawachi I, Atkinson J, Fawcett J: Income and mortality: the shape of the association and confounding New Zealand Census-Mortality Study, 1981–1999. Int J Epidemiol. 2004, 33 (4): 874-883. 10.1093/ije/dyh156.CrossRefPubMed
9.
go back to reference Backlund E, Sorlie PD, Johnson NJ: The shapes of the relationship between income and mortality in the United States: Evidence from the National Longitudinal Mortality Study. Ann Epidemiol. 1996, 6: 12-20. 10.1016/1047-2797(95)00090-9.CrossRefPubMed Backlund E, Sorlie PD, Johnson NJ: The shapes of the relationship between income and mortality in the United States: Evidence from the National Longitudinal Mortality Study. Ann Epidemiol. 1996, 6: 12-20. 10.1016/1047-2797(95)00090-9.CrossRefPubMed
10.
go back to reference Elo IT, Martikainen P, Smith KP: Socioeconomic differentials in mortality in Finland and the United States: the role of education and income. European Journal of Population. 2006, 22: 179-203. 10.1007/s10680-006-0003-5.CrossRef Elo IT, Martikainen P, Smith KP: Socioeconomic differentials in mortality in Finland and the United States: the role of education and income. European Journal of Population. 2006, 22: 179-203. 10.1007/s10680-006-0003-5.CrossRef
11.
go back to reference Smith JP: Health Bodies and Thick Wallets: The Dual Relation Between Health and Economic Status. J of Economic Perspectives. 1999, 13 (2): 145-166.CrossRef Smith JP: Health Bodies and Thick Wallets: The Dual Relation Between Health and Economic Status. J of Economic Perspectives. 1999, 13 (2): 145-166.CrossRef
12.
go back to reference Mohadjer L, Montaquila J, Waksber J, Bell B, James P, Flores-Cervantes I, Montes M: National Health and Nutrition Examination Survey III: Weighting and Estimation methodology. 1996, Hyattsville: Prepared by Westat Inc. for National Center for Health Statistics Mohadjer L, Montaquila J, Waksber J, Bell B, James P, Flores-Cervantes I, Montes M: National Health and Nutrition Examination Survey III: Weighting and Estimation methodology. 1996, Hyattsville: Prepared by Westat Inc. for National Center for Health Statistics
13.
go back to reference Rogot E, Feinleib M, Ockay KA, Schwartz SH, Bilgrad R, Patterson JE: On the feasiblity of linking census samples to the National Death Index for epidemiologic studies: a progress report. American Journal of Public Health. 1983, 73: 1265-1269.CrossRefPubMedPubMedCentral Rogot E, Feinleib M, Ockay KA, Schwartz SH, Bilgrad R, Patterson JE: On the feasiblity of linking census samples to the National Death Index for epidemiologic studies: a progress report. American Journal of Public Health. 1983, 73: 1265-1269.CrossRefPubMedPubMedCentral
14.
go back to reference Rogot E, Sorlie PD, Johnson NJ: Life expectancy by employment status, income, and education in the National Longitudinal Mortality Study. Public Health Rep. 1992, 107 (4): 457-461.PubMedPubMedCentral Rogot E, Sorlie PD, Johnson NJ: Life expectancy by employment status, income, and education in the National Longitudinal Mortality Study. Public Health Rep. 1992, 107 (4): 457-461.PubMedPubMedCentral
15.
go back to reference Sathiakumar N, Delzell E, Osman A: Using the National Death Index to Obtain Underlying Cause of Death Codes. Journal of Occupational and Environmental Medicine. 1998, 40: 808-813. 10.1097/00043764-199809000-00010.CrossRefPubMed Sathiakumar N, Delzell E, Osman A: Using the National Death Index to Obtain Underlying Cause of Death Codes. Journal of Occupational and Environmental Medicine. 1998, 40: 808-813. 10.1097/00043764-199809000-00010.CrossRefPubMed
16.
go back to reference NCHS: NHANES III Household Adult Data File Documentation. Third National Health and Nutrition Examination Survey (NHANES III), 1988–1994. 1996, National Center for Health Statistics NCHS: NHANES III Household Adult Data File Documentation. Third National Health and Nutrition Examination Survey (NHANES III), 1988–1994. 1996, National Center for Health Statistics
17.
go back to reference Parker , Fenwick : The Pareto Curve and Its Utility for Open-Ended Income Distributions in Survey Research. Social Forces. 1983, 875- Parker , Fenwick : The Pareto Curve and Its Utility for Open-Ended Income Distributions in Survey Research. Social Forces. 1983, 875-
18.
go back to reference Haider S, Solon G: Life-cycle variation in the association between current and lifetime earnings. American Economic Review. 2006, 96 (4): 1308-1320. 10.1257/aer.96.4.1308.CrossRef Haider S, Solon G: Life-cycle variation in the association between current and lifetime earnings. American Economic Review. 2006, 96 (4): 1308-1320. 10.1257/aer.96.4.1308.CrossRef
19.
go back to reference Thurston SW, Eisen EA, Schwartz J: Smoothing in survival models: an application to workers exposed to metalworking fluids. Epidemiology. 2002, 13 (6): 685-692. 10.1097/00001648-200211000-00013.CrossRefPubMed Thurston SW, Eisen EA, Schwartz J: Smoothing in survival models: an application to workers exposed to metalworking fluids. Epidemiology. 2002, 13 (6): 685-692. 10.1097/00001648-200211000-00013.CrossRefPubMed
20.
go back to reference Wood S: Generalized Additive Models: An Introduction with R. 2006, Boca Raton: Chapman & Hall/CRC Wood S: Generalized Additive Models: An Introduction with R. 2006, Boca Raton: Chapman & Hall/CRC
21.
go back to reference Thiebaut AC, Benichou J: Choice of time-scale in Cox's model analysis of epidemiologic cohort data: a simulation study. Statistics in Medicine. 2004, 23: 3803-3820. 10.1002/sim.2098.CrossRefPubMed Thiebaut AC, Benichou J: Choice of time-scale in Cox's model analysis of epidemiologic cohort data: a simulation study. Statistics in Medicine. 2004, 23: 3803-3820. 10.1002/sim.2098.CrossRefPubMed
22.
go back to reference Korn EL, Graubard BI, Midthune D: Time-to-event analysis of longitudinal follow-up of a survey: choice of the time-scale. American Journal of Epidemiology. 1997, 145 (1): 72-80.CrossRefPubMed Korn EL, Graubard BI, Midthune D: Time-to-event analysis of longitudinal follow-up of a survey: choice of the time-scale. American Journal of Epidemiology. 1997, 145 (1): 72-80.CrossRefPubMed
23.
go back to reference Ruppert D, Wand MP, Carroll RJ: Semiparametric Regression. 2003, Cambridge: Cambridge University PressCrossRef Ruppert D, Wand MP, Carroll RJ: Semiparametric Regression. 2003, Cambridge: Cambridge University PressCrossRef
24.
go back to reference R-Development-Core-Team: R: A language and environment for statistical computing. 2007, Vienna, Austria: R Foundation for Statistical Computing R-Development-Core-Team: R: A language and environment for statistical computing. 2007, Vienna, Austria: R Foundation for Statistical Computing
25.
go back to reference Lumley SobTTapbT: survival: Survival analysis, including penalised likelihood. R package version 2.32 edition Lumley SobTTapbT: survival: Survival analysis, including penalised likelihood. R package version 2.32 edition
26.
go back to reference Lumley T: Analysis of complex survey samples. Journal of Statistical Software. 2004, 9 (1): 1-19. Lumley T: Analysis of complex survey samples. Journal of Statistical Software. 2004, 9 (1): 1-19.
27.
go back to reference Lumley T: survey: analysis of complex survey samples. 2006, R package version 3.6–5. edition Lumley T: survey: analysis of complex survey samples. 2006, R package version 3.6–5. edition
28.
go back to reference Krieger N, Williams DR, Moss NE: Measuring social class in US public health research: concepts, methodologies, and guidelines. Annu Rev Public Health. 1997, 18: 341-378. 10.1146/annurev.publhealth.18.1.341.CrossRefPubMed Krieger N, Williams DR, Moss NE: Measuring social class in US public health research: concepts, methodologies, and guidelines. Annu Rev Public Health. 1997, 18: 341-378. 10.1146/annurev.publhealth.18.1.341.CrossRefPubMed
29.
go back to reference Davey Smith G, Hart C, Blane D, Gillis C, Hawthorne V: Lifetime socioeconomic position and mortality: prospective observational study. BMJ. 1997, 314 (7080): 547-552.CrossRef Davey Smith G, Hart C, Blane D, Gillis C, Hawthorne V: Lifetime socioeconomic position and mortality: prospective observational study. BMJ. 1997, 314 (7080): 547-552.CrossRef
30.
go back to reference Benzeval M, Judge K: Income and health: the time dimension. Social Science & Medicine. 2001, 52: 1371-1390. 10.1016/S0277-9536(00)00244-6.CrossRef Benzeval M, Judge K: Income and health: the time dimension. Social Science & Medicine. 2001, 52: 1371-1390. 10.1016/S0277-9536(00)00244-6.CrossRef
31.
go back to reference Naess O, Claussen B, Davey Smith G: Relative impact of childhood and adulthood socioeconomic conditions on cause specific mortality in men. Journal of Epidemiology and Community Health. 2004, 58 (7): 597-598. 10.1136/jech.2003.012229.CrossRefPubMedPubMedCentral Naess O, Claussen B, Davey Smith G: Relative impact of childhood and adulthood socioeconomic conditions on cause specific mortality in men. Journal of Epidemiology and Community Health. 2004, 58 (7): 597-598. 10.1136/jech.2003.012229.CrossRefPubMedPubMedCentral
32.
go back to reference Smith JP: Conseqences and Predictors of New Health Events. NBER Working Paper. 2003, 10063: Smith JP: Conseqences and Predictors of New Health Events. NBER Working Paper. 2003, 10063:
33.
go back to reference Braveman PA, Cubbin C, Egerter S, Chideya S, Marchi KS, Metzler M, Posner S: Socioeconomic status in health research – One size does not fit all. Jama-Journal of the American Medical Association. 2005, 294 (22): 2879-2888. 10.1001/jama.294.22.2879.CrossRef Braveman PA, Cubbin C, Egerter S, Chideya S, Marchi KS, Metzler M, Posner S: Socioeconomic status in health research – One size does not fit all. Jama-Journal of the American Medical Association. 2005, 294 (22): 2879-2888. 10.1001/jama.294.22.2879.CrossRef
34.
go back to reference Krieger N, Chen JT, Waterman P, Rehkopf DH, Yin R, Coull B: Race/Ethnicity and Changing US Socioeconomic Gradients in Breast Cancer Incidence: California and Massachusetts, 1978–2002 (United States). Cancer Causes & Control. 2006, 17: 217-226. 10.1007/s10552-005-0408-1.CrossRef Krieger N, Chen JT, Waterman P, Rehkopf DH, Yin R, Coull B: Race/Ethnicity and Changing US Socioeconomic Gradients in Breast Cancer Incidence: California and Massachusetts, 1978–2002 (United States). Cancer Causes & Control. 2006, 17: 217-226. 10.1007/s10552-005-0408-1.CrossRef
35.
go back to reference Ward E, Jemal A, Cokkinides V, Singh GK, Cardinez C, Ghafoor A, Thun M: Cancer disparities by race/ethnicity and socioeconomic status. CA: a cancer journal for clinicians. 2004, 54 (2): 78-93. Ward E, Jemal A, Cokkinides V, Singh GK, Cardinez C, Ghafoor A, Thun M: Cancer disparities by race/ethnicity and socioeconomic status. CA: a cancer journal for clinicians. 2004, 54 (2): 78-93.
36.
go back to reference Kunitz S: Sex, race and social role – history and the social determinants of health. Int J Epidemiol. 2007, 36: 3-10. 10.1093/ije/dyl296.CrossRefPubMed Kunitz S: Sex, race and social role – history and the social determinants of health. Int J Epidemiol. 2007, 36: 3-10. 10.1093/ije/dyl296.CrossRefPubMed
37.
go back to reference Eissa N, Hoynes H: Behavioral Responses to Taxes: Lessons from the EITC and Labor Supply. NBER Working Paper. 2005, 11729 Eissa N, Hoynes H: Behavioral Responses to Taxes: Lessons from the EITC and Labor Supply. NBER Working Paper. 2005, 11729
Metadata
Title
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
Authors
David H Rehkopf
Lisa F Berkman
Brent Coull
Nancy Krieger
Publication date
01-12-2008
Publisher
BioMed Central
Published in
BMC Public Health / Issue 1/2008
Electronic ISSN: 1471-2458
DOI
https://doi.org/10.1186/1471-2458-8-383

Other articles of this Issue 1/2008

BMC Public Health 1/2008 Go to the issue