Estimated Cancer Risk Associated with Occupational Asbestos Exposure

This paper estimates the number of workers in the United States who were occupationally exposed to asbestos during and after World War II and assesses the impact of this exposure on overall cancer mortality. The results suggest that over half of the estimated 7–8 million potentially exposed workers employed between 1940 and 1970 may still be alive and at risk of dying from some form of asbestos-related cancer. While the maximum number of excess cancer deaths associated with this occupational exposure is likely to occur sometime in this decade, such deaths will continue to be seen for many years thereafter. At their peak, these deaths may account for an estimated 3% of the annual cancer death toll, with an associated range of 1.4–4.4%.     

Dose‐Response Modeling with Summary Data from Developmental Toxicity Studies

Dose‐response analysis of binary developmental data (e.g., implant loss, fetal abnormalities) is best done using individual fetus data (identified to litter) or litter‐specific statistics such as number of offspring per litter and proportion abnormal. However, such data are not often available to risk assessors. Scientific articles usually present only dose‐group summaries for the number or average proportion abnormal and the total number of fetuses. Without litter‐specific data, it is not possible to estimate variances correctly (often characterized as a problem of overdispersion, intralitter correlation, or “litter effect”). However, it is possible to use group summary data when the design effect has been estimated for each dose group. Previous studies have demonstrated useful dose‐response and trend test analyses based on design effect estimates using litter‐specific data from the same study. This simplifies the analysis but does not help when litter‐specific data are unavailable. In the present study, we show that summary data on fetal malformations can be adjusted satisfactorily using estimates of the design effect based on historical data. When adjusted data are then analyzed with models designed for binomial responses, the resulting benchmark doses are similar to those obtained from analyzing litter‐level data with nested dichotomous models.     

Measurement of Race and Ethnicity in a Changing, Multicultural America

It is well accepted that concepts of race, ethnicity, and ancestry are changing constructs that reflect the social, economic, and political climate of the times. Studying the history of the collection of data on race, place of birth, Hispanic origin, and ancestry in US decennial censuses provides a better understanding of the race and ethnic concepts currently in use for official federal statistics. This history can help guide the evolution of these concepts for research on alternative measurement approaches, future censuses, and future statistics. The purpose of this paper is threefold. The first objective is to provide a historical overview of race and ethnic measurement in US decennial censuses. The second and third objectives are to present Census Bureau plans to experiment with alternative approaches to measuring race and ethnicity in the 2010 Census and to discuss race and ethnic measurement issues for future decennial censuses.     

Do disabilities in former TANF families hasten their returns to cash assistance?

This research examines the relationship between disabilities in families and returns to welfare. Past studies of welfare recidivism have long theorized that disabilities played a central role in returns to welfare among former recipients, but lacked data to test the hypothesis. Hypothesis tests support the theory that both child and maternal disabilities, which act as barriers to self-sufficiency, increase rates of TANF re-entry and SSI entry. We show that because past studies did not account for disabilities on the odds of returning to welfare, effects of work, number of children, and past receipt of TANF are somewhat overstated. Our findings add to the literature on welfare recidivism and have implications for welfare reforms that emphasize work and lifetime limits on benefits.     

Family Life With Children With Disabilities: The Key Role of Rehabilitation

This study examines the effects of children's medical impairments and functional disabilities and the use of medical care and rehabilitation on three family consequences (job changes, severe financial problems, and sleep disruptions). We use a life course perspective on the interlinked lives of family members, countertransitions, and career contingencies to understand the family impact of child disability. Using data from the 1994 and 1995 National Health Interview Surveys (N= 3,446), we find that the rehabilitation services that children receive account for (mediate) a large part of the observed association of children's medical impairments and disabilities on these family outcomes. Assistance in obtaining rehabilitation for children with disabilities could reduce the family costs and disruptive countertransitions associated with raising children with disabilities.     

Comment

The article by Conway and Reinganum demonstrates that cross-validation is a necessary part of any goodness-of-fit evaluation of multifactor asset-pricing models. The use of this procedure guards against overfitting, which is a common occurrence in large samples. It is illustrated here that if cross-validation cannot be used, two alternative goodness-of-fit measures that include a penalty based on parameters fitted can be used to assist in model selection. The two alternative measures include a penalty function based on the number of parameters fitted. The values of the two alternative measures for the Conway and Reinganum data are presented here for comparison purposes. The more conservative of the two measures obtains results comparable to the cross-validation procedure.     

Bringing a population-environment perspective to hazards research

Studies on risks and vulnerabilities have become one of the principal interdisciplinary themes of population and environment studies, especially in dense metropolitan spaces. Current debates on global environmental change have reinforced this tendency, since the consideration of specific vulnerabilities of urban populations is one of the most urgent issues of the contemporary environmental discussion. This discussion, however, has notably under-emphasized social and spatial concerns, highlighting the need to search for bases that support a more conjunctive and wide-ranging perspective of vulnerability. This article seeks to develop a social and spatial perspective on vulnerability, incorporating social assets theory to population-environment studies.