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Long-Term Trends in Adult Mortality for U.S. Blacks and Whites: An Examination of Period- and Cohort-Based Changes

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  • Ryan Masters
  • Robert Hummer
  • Daniel Powers
  • Audrey Beck
  • Shih-Fan Lin
  • Brian Finch

Abstract

Black–white differences in U.S. adult mortality have narrowed over the past five decades, but whether this narrowing unfolded on a period or cohort basis is unclear. The distinction has important implications for understanding the socioeconomic, public health, lifestyle, and medical mechanisms responsible for this narrowing. We use data from 1959 to 2009 and age-period-cohort (APC) models to examine period- and cohort-based changes in adult mortality for U.S. blacks and whites. We do so for all-cause mortality among persons aged 15–74 as well as for several underlying causes of death more pertinent for specific age groups. We find clear patterns of cohort-based reductions in mortality for both black men and women and white men and women. Recent cohort-based reductions in heart disease, stroke, lung cancer, female breast cancer, and other cancer mortality have been substantial and, save for breast cancer, have been especially pronounced for blacks. Period-based changes have also occurred and are especially pronounced for some causes of death. Period-based reductions in blacks’ and whites’ heart disease and stroke mortality are particularly impressive, as are recent period-based reductions in young men’s and women’s mortality from infectious diseases and homicide. These recent period changes are more pronounced among blacks. The substantial cohort-based trends in chronic disease mortality and recent period-based reductions for some causes of death suggest a continuing slow closure of the black-white mortality gap. However, we also uncover troubling signs of recent cohort-based increases in heart disease mortality for both blacks and whites. Copyright Population Association of America 2014

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  • Ryan Masters & Robert Hummer & Daniel Powers & Audrey Beck & Shih-Fan Lin & Brian Finch, 2014. "Long-Term Trends in Adult Mortality for U.S. Blacks and Whites: An Examination of Period- and Cohort-Based Changes," Demography, Springer;Population Association of America (PAA), vol. 51(6), pages 2047-2073, December.
  • Handle: RePEc:spr:demogr:v:51:y:2014:i:6:p:2047-2073
    DOI: 10.1007/s13524-014-0343-4
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    2. Paula England & Mike Hout & Karyn Vilbig & Kevin Wells, 2021. "The Gender Gap in Voting Democratic, 1972-2016: Intersections of Gender with Marital Status and Race," Working Papers 20210068, New York University Abu Dhabi, Department of Social Science, revised Sep 2021.
    3. Joanna N. Lahey, 2017. "Understanding Why Black Women Are Not Working Longer," NBER Chapters, in: Women Working Longer: Increased Employment at Older Ages, pages 85-109, National Bureau of Economic Research, Inc.
    4. Joanna N. Lahey & Douglas R. Oxley, 2021. "Discrimination at the Intersection of Age, Race, and Gender: Evidence from an Eye‐Tracking Experiment," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 40(4), pages 1083-1119, September.
    5. Manfred Grotenhuis & Ben Pelzer & Liying Luo & Alexander W. Schmidt-Catran, 2016. "The Intrinsic Estimator, Alternative Estimates, and Predictions of Mortality Trends: A Comment on Masters, Hummer, Powers, Beck, Lin, and Finch," Demography, Springer;Population Association of America (PAA), vol. 53(4), pages 1245-1252, August.
    6. Ryan K. Masters, 2018. "Economic Conditions in Early Life and Circulatory Disease Mortality," Population and Development Review, The Population Council, Inc., vol. 44(3), pages 519-553, September.
    7. Gustavo De Santis & Massimo Mucciardi, 2017. "From Euclidean distances to APC models," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(2), pages 829-846, March.
    8. Masters, Ryan K. & Link, Bruce G. & Phelan, Jo C., 2015. "Trends in education gradients of ‘preventable’ mortality: A test of fundamental cause theory," Social Science & Medicine, Elsevier, vol. 127(C), pages 19-28.
    9. Ryan K. Masters & Daniel A. Powers & Robert A. Hummer & Audrey Beck & Shih-Fan Lin & Brian Karl Finch, 2016. "Fitting Age-Period-Cohort Models Using the Intrinsic Estimator: Assumptions and Misapplications," Demography, Springer;Population Association of America (PAA), vol. 53(4), pages 1253-1259, August.

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