Losses of Expected Lifetime in the United States and Other Developed Countries: Methods and Empirical Analyses
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Patterns of diversity in age at death are examined using e †, a dispersion measure that equals the average expected lifetime lost at death. We apply two methods for decomposing differences in e †. The first method estimates the contributions of average levels of mortality and mortality age structures. The second (and newly developed) method returns components produced by differences between age- and cause-specific mortality rates. The United States is close to England and Wales in mean life expectancy but has higher life expectancy losses and lacks mortality compression. The difference is determined by mortality age structures, whereas the role of mortality levels is minor. This is related to excess mortality at ages under 65 from various causes in the United States. Regression on 17 country-series suggests that e † correlates with income inequality across countries but not across time. This result can be attributed to dissimilarity between the age- and cause-of-death structures of temporal mortality reduction and intercountry mortality variation. It also suggests that factors affecting overall mortality decrease differ from those responsible for excess lifetime losses in the United States compared with other countries. The latter can be related to weaknesses of health system and other factors resulting in premature death from heart diseases, amenable causes, accidents and violence.
KeywordsLife expectancy Premature death Causes of death Inequality
This study is a part of project “Methods of measurement and decomposition in mortality studies” at the Max Planck Institute for Demographic Research. We would like to express our sincere gratitude to Demography’s invited editor Ken Hill for his constructive and insightful comments on previous versions of the article. We are also grateful to two anonymous reviewers for their helpful comments and rigorous check of the text, formulae, and tables. Finally, we extend our gratitude to Edelgard Katke from MPIDR for formatting of the manuscript.
- Anand, S. (1983). Inequality and poverty in Malaysia: Measurement and decomposition. New York: Oxford University Press.Google Scholar
- Anand, S., Diderichsen, F., Evans, T., Shkolnikov, V., & Wirth, M. (2001). Measuring disparities in health: Methods and indicators. In T. Evans, M. Whitehead, F. Diderichsen, & A. Bhuiya (Eds.), Challenging inequities in health: From ethics to action (pp. 49–67). New York: Oxford University Press.Google Scholar
- Andreev, E. M. (1982). Metod komponent v analize prodoljitelnosty zjizni [The method of components in the analysis of length of life]. Vestnik Statistiki, 9, 42–47.Google Scholar
- Andreev, E. M., Shkolnikov, V. M., & Begun, A. Z. (2002). Algorithm for decomposition of differences between aggregate demographic measures and its application to life expectancies, healthy life expectancies, parity-progression ratios and total fertility rates. Demographic Research, 7, article 14, 499–522. doi: 10.4054/DemRes.2002.7.14.
- Blau, D. (Chair), Berkman, L., Cutler, D., Paxson, C., Smith, J. P., & Vaupel, J. W. (2007, March). Panel discussion on Why is health in the U.S. so much worse than health in other developed countries? Session 113 at the annual meeting of the Population Association of America, New York.Google Scholar
- Centers for Disease Control and Prevention (CDC). (2004a). Trends in motorcycle fatalities associated with alcohol-impaired driving—United States, 1983–2003. Morbidity and Mortality Weekly Report, 53, 1103–1106.Google Scholar
- Centers for Disease Control and Prevention (CDC). (2004b). Unintentional and undetermined poisoning deaths—11 States, 1990–2001. Morbidity and Mortality Weekly Report, 53, 233–238.Google Scholar
- Daly, M., Wilson, M., & Vasdev, S. (2001). Income inequality and homicide rates in Canada and the United States. Canadian Journal of Criminology–Revue canadienne de criminologie, 43, 219–236.Google Scholar
- Elo, I. T., & Drevenstadt, G. L. (2004). Cause-specific contributions to black-white differences in male mortality from 1960 to 1995. Demographic Research, Special Collection 2, article 10, 255–276. doi: 10.4054/DemRes.2004.S2.10.
- Ezzati, M., Friedman, A. B., Kulkarni, S. C., & Murray, C. J. L. (2008). The reversal of fortunes: Trends in county mortality and cross-county mortality disparities in the United States. Public Library of Science Medicine, 5, 557–568.Google Scholar
- Fingerhut, L. A., & Cox, C. S. (1998). Poisoning mortality, 1985–1995. Public Health Reports, 113, 218–233.Google Scholar
- Gakidou, E. E., Murray, C. J. L., & Frenk, J. (2003). A framework for measuring health inequality. In C. J. L. Murray & D. B. Evans (Eds.), Health systems performance assessment. Debates, methods and empiricism (pp. 471–484). Geneva: World Health Organization.Google Scholar
- Janssen, I., Katzmarzyk, P. T., Boyce, W. F., Vereecken, C., Mulvihill, C., Roberts, C., . . . Pickett, W. (2005). Comparison of overweight and obesity prevalence in school-aged youth from 34 countries and their relationships with physical activity and dietary patterns. Obesity Reviews, 6, 123–132.CrossRefGoogle Scholar
- Kennedy, B. P., Kawachi, I., & Prothrow-Stith, D. (1996). Income distribution and mortality: Cross sectional ecological study of the Robin Hood index in the United States. British Medical Journal, 312, 1004–7 (published erratum appears in British Medical Journal, 312, 1194).Google Scholar
- Kennedy, B. P., Kawachi, I., Glass, R., & Prothrow-Stith, D. (1998). Income distribution, socioeconomic status, and self rated health in the United States: Multilevel analysis. British Medical Journal, 317, 917–921.Google Scholar
- Keyfitz, N. (1977). Applied mathematical demography. New York: Wiley.Google Scholar
- Lynch, J., Harper, S., Davey Smith, G., Ross, N., Wolfson, M., & Dunn, J. (2004b). US Regional and national cause-specific mortality and trends in income inequality: Descriptive findings. Demographic Research, Special Collection 2, article 8, 183–228. doi: 10.4054/DemRes.2004.S2.8.
- Moser, K., Shkolnikov, V., & Leon, D. A. (2005). World Mortality 1950–2000: Divergence replaces convergence from the late 1980s. Bulletin of the World Health Organization, 83, 202–209.Google Scholar
- Murray, C. J. L., Kulkarni, S. C., Michaud, C., Tomijima, N., Bulzacchelli, M. T., Iandiorio, T. J., et al. (2006). Eight Americas: Investigating mortality disparities across race-counties in the United States. Public Library of Science Medicine, 3, 1513–1524.Google Scholar
- NLMS. (2007). National Longitudinal Mortality Survey [Survey site]. Available online at http://www.census.gov/nlms.
- OECD. (2008). OECD Statistics. Available online at http://lysander.sourceoecd.org/v1=1292908/c1=12/nw=1/rpsv/statistics/s36_about.htm?jnlissn=99991004.
- Oeppen, J. (2008, April). Comparing the efficiency of mortality changes between countries: An evaluation of past and forecast levels in advanced economies. Paper presented at the annual meeting of the Population Association of America, New Orleans.Google Scholar
- Peto, R., Lopez, A. D., Boreham, J., & Thun, M. (2006). Mortality from smoking in developed countries 1950–2000 (2nd ed.). Available online at http://www.ctsu.ox.ac.uk/~tobacco.
- Rogot, E., Sorlie, P. D., Johnson, N. J., & Schmitt, C. A. (1992). Mortality study of 1.3 million persons by demographic, social and economic factors: 1979–1985 follow-up. Second data book. (NIH Publication No. 92–3297). Bethesda, MD: National Institutes of Health, PHS, DHHS.Google Scholar
- Schoen, C., & How, S. K. (2006). National scorecard on U.S. health system performance: Technical report. New York: Commonwealth Fund.Google Scholar
- Shapiro, J. (1995). The Russian mortality crisis and its causes. In A. Åslund (Ed.), Russian economic reform at risk (pp. 149–178). London: Pinter.Google Scholar
- Shkolnikov, V. M., Andreev, E. M., & Begun, A. Z. (2003). Gini coefficient as a life table function. Computation from discrete data, decomposition of differences and empirical examples. Demographic Research, 8, article 11:305–58. doi: 10.4054/DemRes.2003.8.11.
- Sohler, N., Arno, P., Chang, C. J., Fang, J., & Schecter, C. (2003). Income inequality and infant mortality in New York City. Journal of Urban Health, 80, 650–657.Google Scholar
- Stata Corporation. (2007). Stata longitudinal/panel-data reference manual. Release 10. College Station, TX: StataCorp.Google Scholar
- Vallin, J., & Meslé, F. (2004). Convergences and divergences in mortality. A new approach to health transition. Demographic Research, Special Collection 2, article 2, 1–44. doi: 10.4054/DemRes.2004.S2.2.
- van Raalte, A. (2008, June). Inter-individual inequality in life spans: An examination of four methods and five countries. Presented at the annual meeting of the Canadian Population Society, University of British Columbia, Vancouver, Canada.Google Scholar
- World Bank. (2008). Statistics on income inequality. Available online at http://econ.worldbank.org/WBSITE/EXTERNAL/EXTDEC/EXTRESEARCH/0,,contentMDK:20699070~pagePK:64214825~piPK:64214943~theSitePK:469382,00.html.
- World Health Organization (WHO). (1998). Obesity: Preventing and managing the global epidemic (WHO Technical Report Series No. 894). Geneva: WHO.Google Scholar
- World Health Organization (WHO). (2007). The WHO Mortality Database. Detailed data files available online at http://www.who.int/whosis/mort/download/en/index.html.
- World Income Inequality Database (WIID). (2008). World Income Inequality Database, Wave 2.0b May 2007. Available online at http://www.wider.unu.edu/research/Database/en_GB/database/.
- Zhang, Z., & Vaupel, J. W. (2008, April). The threshold between compression and expansion of mortality. Presented at the annual meeting of the Population Association of America, New Orleans.Google Scholar