Centre for Policy on Ageing
 

 

Race, socioeconomic status, and health in life-course perspective
 — special issue
Author(s)Scott M Lynch
Journal titleResearch on Aging, vol 30, no 2, March 2008
Pagespp 127-273
KeywordsEthnic groups ; Health [elderly] ; Economic status [elderly] ; Poor elderly ; Longitudinal surveys ; United States of America.
AnnotationResearch on racial inequalities in health has increasingly linked socioeconomic status (SES) and health. For a long time, it has also been assumed and now established that a large proportion of Black-White disparity in health is attributable to SES differences between races. The five articles in this special issue of Research on Aging apply statistical techniques to longitudinal data (cross-sectional or panel) in order to test the cumulative disadvantage hypothesis - the propensity for health inequalities to increase across the life course because of the double disadvantage of age and minority status. The first article, by Jason L Cummings and Pamela Braboy Jackson, describes results of a descriptive investigation of trends in self-rated health by sex, race and SES in the US General Social Survey (GSS). Next, Katrina L Walsemann et al used a longitudinal study investigating the relationship between educational advantage in youth and health in middle age. The third article (Kim M Shuey and Andrea E Willson) uses data from the US Panel Study of Income Dynamics (PSID) to examine cumulative disadvantage and Black-White SES disparities in health. Fourthly, Miles G Taylor uses the Duke Established Populations for Epidemiological Studies of the Elderly (EPESE) to focus on disability differentials by race and to some extent SES in later adulthood. Lastly, Li Yao and Stephanie A Robert use the Americans' Changing Lives Study (ACL) to examine the contributions of race, individual SES and neighbourhood socioeconomic context on older people's self-rated health trajectories and mortality. Overall, the articles demonstrate that the relationship between race, SES and health are complex, and that this complexity is increased because the interrelationships are dynamic across age and time. (RH).
Accession NumberCPA-080402206 B
ClassmarkTK: CC: F:W: F:W6: 3J: 7T

Data © Centre for Policy on Ageing

...from the Ageinfo database published by Centre for Policy on Ageing.
 

CPA home >> Ageinfo Database >> Last modified: Fri 21 Sep 2018, © CPA 2018 Queries to: webmaster@cpa.org.uk