Quincy Thomas Stewart

Effects of age misreporting on mortality estimates at older ages

This study examines how age misreporting typically affects estimates of mortality at older ages. We investigate the effects of three patterns of age misreporting - net age overstatement, net age understatement, and symmetric age misreporting - on mortality estimates at ages 40 and above. We consider five methods to estimate mortality: conventional estimates derived from vital statistics and censuses; longitudinal studies where age is identified at baseline; variable-r procedures based on age distributions of the population; variable-r procedures based on age distributions of deaths; and extinct generation methods. For each of the age misreporting patterns and each of the methods of mortality estimation, we find that age misstatement biases mortality estimates downwards at the oldest ages.

A Research Agenda for the Black Middle Class: Work Stress, Survival Strategies, and Mental Health*

In this article we discuss the social position of the black middle class and two forms of work stress that appear unique to this group: token stress and social rejection. We outline a research agenda for studying: (1) the relationship between these stressors and mental health in the context of the work environment, and (2) the type of strategies that appear especially efficacious (or problematic) with regard to these problems. We begin the paper with a contextual discussion of the black middle class. We then offer a set of theoretical predictions about the relationship between work stress and mental health among middle class African Americans. We conclude the article with recommendations for future research, and we identify the implications of the research agenda for social policy efforts to diversify the workplace.

Is it Race, Immigrant Status, or Both? An Analysis of Wage Disparities among Men in the United States

The intersection of race and immigrant status forms a unique social space where minority group members and immigrants are afforded or denied the privileges that are routinely accorded to native-born, non-Hispanic whites. Yet recent research on the intersection of race and immigrant status is inconsistent in its findings, limited to a small number of racial groups, and does not account for the geographic distribution of racial/ethnic groups. In this paper, we shed light on the intersection of race and immigrant status by answering two questions: (1) Do racial disparities in socioeconomic outcomes vary by nativity? and (2) Do native-immigrant disparities in socioeconomic outcomes vary by race? Using 2000 Census data linked to metropolitan area and sending country data, we find that racial disparities are similar and significant among natives and immigrants (Question 1). Asians, blacks, and Latinos fare significantly worse than their white counterparts in both the native and immigrant populations. Furthermore, our analysis of native-immigrant wage disparities by race reveals that the immigrant experience is considerably worse for Asians, blacks, and Latinos (Question 2). These groups also receive fewer wage returns to years spent in the U.S. and their wage disparities are magnified by the percentage of immigrants in a metropolitan area – whereas all whites receive a wage premium when living in an area with a larger share of immigrants. The results suggest that race and immigrant status work in concert to uniquely influence the social experience of immigrant minorities in the U.S.

Race, Methodology, and Social Construction in the Genomic Era:

DNA segments can be used to distinguish among individuals and populations, but such differentiation of the population is not consistent with any known system of racial classification. In this article we elaborate on this core idea and discuss how it should influence genetic and genomic research on health and prisons in the United States. For studies involving racial classification and inequality, we provide methodological recommendations for addressing both the structure of race and gene expression of individuals and groups.

The shape of inequality: Racial disparities in age‐specific mortality

Abstract There are significant mortality disparities across racial and socioeconomic (SES) groups. Although the mechanisms behind these disparities remain vague, there is a clear connection between the mortality disparities across racial and SES groups. It is less clear, though, if the relationship between SES and racial mortality disparities varies across the life course. Prior research indicates that both racial and SES mortality disparities decline over the life course. These results suggest that if we standardize mortality rates for age‐variation in the SES‐mortality relationship, then the age‐pattern of racial mortality disparities will be attenuated. Using data from the National Longitudinal Mortality Study, I analyze the relationship between SES and racial disparities in age‐specific mortality among adults aged 25 and over. The results suggest that racial differences in SES are most important early in the adult life, and are minimally related to the convergence in racial mortality disparities at the oldest ages.

The Cause-Deleted Index: Estimating Cause of Death Contributions to Mortality

Causes underlying mortality disparities are often determined by causal decomposition. This method is based on the decomposition of differences in mortality or life expectancy into parameters representing the contribution of underlying causes. It quantifies disparities as differences in mortality rates and does not account for the fact that many underprivileged groups are more likely to die from nearly all causes. Results are driven by the frequency of cause of death. Alternatively, the cause deleted index quantifies the role of underlying causes in mortality disparities as the change in the relative risk of dying that is related to deleting a specific cause. The consistency between the methods in estimating cause of death contributions is analyzed using 2000 U.S. mortality data and simulated mortality profiles. The two methods often produce divergent results because causal decomposition relies on the prevalence of causes of death.

The color of death: race, observed skin tone, and all-cause mortality in the United States

ABSTRACT Objective: This paper examines how mortality covaries with observed skin tone among blacks and in relation to whites. Additionally, the study analyzes the extent to which social factors such as socioeconomic status affect this relationship. Design: This study uses data from the 1982 General Social Survey (N = 1,689) data linked to the National Death Index until 2008. We use this data to examine the links between race, observed skin tone among blacks, and all-cause mortality. Piecewise exponential hazard modeling was used to estimate disparities in skin tone mortality among blacks, and relative to whites. The multivariate models control for age, education, gender, region, metropolitan statistical area, marital status, labor force status, and household income. Results: Observed skin tone is a significant determinant of mortality among blacks and in relation to whites. Light skinned blacks had the lowest mortality hazards among blacks, while respondents with medium and dark brown skin experienced significantly higher mortality. The observed skin tone mortality disparities covaried with education; there are significant mortality disparities across observed skin tone groups among black respondents with high school or more education, and nonsignificant disparities among those with less education. Conclusion: It is crucial to identify the social processes driving racial disparities in health and mortality. The findings reveal that the nuanced social experiences of blacks with different observed skin tones markedly change the experience of racial inequality. Research on the nuanced social processes and biological mechanisms that connect differences in observed skin tone to mortality outcomes promises to better illuminate the experience of racial inequality and policy mechanisms we can use to undermine it.