Vicious Habits: Sexually Transmitted Infections among Black and White Union Army Veterans.

We analyze a random sample of 15,049 white veterans and 5,329 black veterans of the US Civil War examined by physicians between 1890 and 1906. We calculate a period prevalence of STI of 1.2-1.7% among whites and 4.2-8.0% among blacks, even though blacks and whites had almost identical prevalence of STIs in their wartime medical records. Furthermore, we find evidence that Board physicians were on the lookout for STIs among black veterans that could be used to justify denial of pension support. With or without STIs, blacks were rejected at roughly twice the rate of whites during this time period. Currently, racial disparities are even higher today than in this historical period, with blacks currently having a 5-15 times higher incidence than whites. We invite a critical reflection upon practices of screening and measurement systems to assess properly the degree to which racial prejudice may be part of these systems.

Does adult height predict later mortality?: Comparative evidence from the Early Indicators samples in the United States.

In this paper, I supplement widely used demographic data on white veterans of the Union Army with large and newly collected data on blacks and urban white veterans to explore the question of whether adult height predicts late-life mortality at the individual level. The data are partitioned into four demographic groups based on individual characteristics at the time of enlistment: white veterans enlisting in rural areas, mid-size cities, and large cities, and African-American veterans of the U.S. Colored Troops (USCT). Across the three groups of white veterans, mean height is positively associated with life expectancy at age 60, while both mean height and life expectancy for black veterans are very close to levels measured among the highly urbanized white veterans. I examine whether these group-level differences are robust to individual-level analysis by estimating two types of models, separately for each group: 1) 10-year mortality at age 60 using a linear probability model with company-level fixed effects and 2) a Cox proportional hazard that tracks veterans from age 60 to death. For rural whites, I find a significant U-shaped relationship between height and 10-year mortality, with both the short and the tall at significantly higher risk of death. This pattern becomes more pronounced when excluding younger recruits (under aged 24) from the analysis. But this relationship does not extend to urban whites or to blacks, where no significant height effects are found, and in which the height-mortality relationship among the highest mortality groups (whites from the largest cities and blacks) appears to be a generally positive one. Overall, the robust positive relationship between height and life expectancy at the group level does not exist at the individual level.

Union Army Veterans, All Grown Up.

This paper overviews the research opportunities made possible by a NIA-funded program project, Early Indicators, Intergenerational Processes, and Aging. Data collection began almost three decades ago on 40,000 soldiers from the Union Army in the US Civil War. The sample contains extensive demographic, economic, and medical data from childhood to death. In recent years, a large sample of African-American soldiers and an oversampling of soldiers from major US cities have been added. Hundreds of historical maps containing public health data have been geocoded to place soldiers and their family members in a geospatial context. With newly granted funding, thousands of veterans will be linked to the demographic information available from the census and vital records of their children.

Marriage, gender and obesity in later life.

A large body of literature argues that marriage promotes health and increases longevity. But do these benefits extend to maintaining a healthy body weight, as the economic theory of health investment suggests they should? They do not. Using the Health and Retirement Study (HRS), I find that entry into marriage among both men and women aged 51-70 is associated with weight gain and exit from marriage with weight loss. I evaluate three additional theories with respect to the cross-sectional and longitudinal variation in the data. First, it may be that a broader set of shared risk factors (such as social obligations regarding meals) raises body mass for married couples. However, the shared risk factor model predicts that the intra-couple correlation should increase with respect to marital duration. Instead, it declines. Second, scholars have recently promoted a "crisis" model of marriage in which marital transitions, not marital status, determine differences in body mass. The crisis model is consistent with short-term effects seen for divorce, but not for the persistent weight gains associated with marriage or the persistent weight loss following widowhood. And transition models, in general, cannot explain significant cross-sectional differences across marital states in a population that is no longer experiencing many transitions, nor can it account for the prominent gender differences (in late middle-age, the heaviest group is unmarried women and the lightest are unmarried men). Third, I argue that pressures of the marriage market, in combination with gendered preferences regarding partner BMI, can account for all the longitudinal and cross-sectional patterns found in the data.

Marital status and colon cancer outcomes in US Surveillance, Epidemiology and End Results registries: does marriage affect cancer survival by gender and stage?

BACKGROUND: Marital status has been associated with outcomes in several cancer sites including breast cancer in the literature, but little is known about colon cancer, the fourth most common cancer in the US. METHODS: A total of 127,753 patients with colon cancer were identified who were diagnosed between 1992 and 2006 in the US Surveillance, Epidemiology and End Results (SEER) Program. Marital status consisted of married, single, separated/divorced and widowed. Chi-square tests were used to examine the association between marital status and other variables. The Kaplan-Meier method was used to estimate survival curves. Cox proportional hazards models were fit to estimate the effect of marital status on survival. RESULTS: Married patients were more likely to be diagnosed at an earlier stage (and for men also at an older age) compared with single and separated/divorced patients, and more likely to receive surgical treatment than all other marital groups (all p<0.0001). The five-year survival rate for the single was six percentage points lower than the married for both men and women. After controlling for age, race, cancer stage and surgery receipt, married patients had a significantly lower risk of death from cancer (for men, HR: 0.86, CI: 0.82-0.90; for women, HR: 0.87, CI: 0.83-0.91) compared with the single. Within the same cancer stage, the survival differences between the single and the married were strongest for localized and regional stages, which had overall middle-range survival rates compared to in situ or distant stage so that support from marriage could make a big difference. CONCLUSIONS: Marriage was associated with better outcomes of colon cancer for both men and women, and being single was associated with lower survival rate from colon cancer.

Prejudice & policy: racial discrimination in the Union Army disability pension system, 1865-1906.

The Union Army disability pension was an early experiment in colorblind social policy. However, it shortchanged Blacks in 2 ways. First, the law was unable to account for the challenges Blacks faced in proving their eligibility because of the legacy of slavery and discrimination against Black troops during the Civil War. Second, the increasing leniency accorded White soldiers by the Pension Bureau was not extended in the same measure to Blacks. Active discrimination against Blacks resulted in part from local discretion, evidenced by the significantly lower approval rates for both White and Black veterans in the South. Furthermore, when Whites and Blacks claimed disabilities that were easily verifiable, outcomes were similar, but when verification required a degree of trust, Blacks fared considerably worse than Whites.

Do panel surveys make people sick? US arthritis trends in the Health and Retirement Study.

Researchers have long viewed large, longitudinal studies as essential for understanding chronic illness and generally superior to cross-sectional studies. In this study, we show that (1) age-specific arthritis prevalence in the longitudinal Health and Retirement Study (HRS) from the United States has risen sharply since its inception in 1992, and (2) this rise is almost surely spurious. In periods for which the data sets are comparable, we find no such increase in the cross-sectional National Health Interview Survey (NHIS), the primary source for prevalence data of chronic conditions in the US. More important, the upward trend in the HRS is not internally consistent: even though prevalence in the HRS rises sharply between 1992 and 1996 for 55-56 year-olds, the prevalence for that age group plummets to its 1992 level among the new cohort added in 1998 and then rises rapidly again between 1998 and 2002. We discuss possible reasons for these discrepancies and demonstrate that they are not due to sample attrition in the HRS.

The health capital of families: an investigation of the inter-spousal correlation in health status.

This study documents and analyzes the inter-spousal correlation in health status (ISCIHS) among married couples in later life. A simple economic theory is developed that integrates standard theories of marriage markets and health capital formation. This theory implies that several causal factors will lead to a positive correlation in the health status of spouses. These include assortative matching in the marriage market along dimensions related to health (such as education); a tendency to share common life-style behaviors such as diet, smoking and exercise; shared environmental risk factors for disease; and a potential for direct effects of the health of one spouse on the health of the other. Empirical estimates using the 1992 Health and Retirement study in the USA demonstrate that ISCIHS is large in magnitude, highly statistically significant, and robust to alternative measures of health status. ISCIHS exists even after controlling for age, education, income, and other socioeconomic and demographic determinants of health status, including behavioral risk factors. These covariates reduce the overall correlation coefficient by 33% to 57%, depending on the health measure, which suggests both that marriage formation and decision making processes systematically affect health in later life and that heretofore unidentified risk factors for disease and disability exist at the household level.