Alternative Methods to Enumerate Data on Race in Puerto Rico*

Nationalist discourse concerning race in Puerto Rico generally states that residents are of the same racially mixed heritage—a combination of Spanish, West African, and indigenous ancestry of various degrees. However, literature and casual observations suggest that the population is characterized by greater variation in physical appearances than what is posited by “admixture” discourse. Moreover, and further complicating the understanding of race, 2010 U.S. Census data show that over 75 percent of Puerto Ricans self‐identified as “White, alone,” and that only 3.3 percent of respondents indicated “Two or More Races.” Researchers, employers, and governmental agencies attempting to address issues of inequality, discrimination, and residential segregation have had to rely on existing U.S. Census data for analysis. Thus, the need for an alternative data collection process that can be used for various forms of socioeconomic analysis has become evident. The objective of this study was to develop two alternative instruments that emphasized a locally suited, culturally grounded, and standardizable conceptual foundation for the purpose of establishing more representative racial statistics in Puerto Rico. Methods included the administration of 248 copies of these alternative forms, in addition to a replica of the current U.S. Census form, to residents in Bayamón, a city located within the greater San Juan metropolitan area. Results showed that participants were less inclined to self‐identify as “White, alone” when given these alternative instruments, and that fewer individuals resorted to the selection of “Other” for race. In addition, observer‐reported data indicated that the sample was less white when compared to participant‐reported results. The conclusion was that both alternative instruments were considerably more effective in gauging racial composition than the 2010 U.S. Census form.     

Generalized Concept of Relative Risk and Wider Applications of the Proportional Hazards Model and the Kaplan–Meier Estimator

The concepts of relative risk and hazard ratio are generalized for ordinary ordinal and continuous response variables, respectively. Under the generalized concepts, the Cox proportional hazards model with the Breslow's and Efron's methods can be regarded as generalizations of the Mantel–Haenszel estimator for dealing with broader types of covariates and responses. When ordinal responses can be regarded as discretized observations of a hypothetical continuous variable, the estimated relative risks from the Cox model reflect the associations between the responses and covariates. Examples are given to illustrate the generalized concepts and wider applications of the Cox model and the Kaplan–Meier estimator.     

Nursing home complaints: who's complaining and what's gender got to do with it?

Long Term Care Ombudsman Complaint data from one state's 261 nursing homes are examined in the study. We assessed differences between male and female groups, including chiefly residents, but also ombudsmen, the residents' relatives or friends, administrators, legal representatives, and others regarding types and rates of complaints as reported in the Administration on Aging (AoA) major categories of: Resident Care, Resident Rights, Administration, Quality of Life, and Complaints Not Against Facility. Proportionately, male residents lodged more complaints than females. Further, males complained more than females about Resident Rights violations and filed more Complaints Not Against Facility. Females lodged significantly more complaints about Care, Quality of Life and Administration.Thus, males were more likely to report technical, impersonal, and legalistic issues, than females, who were more likely to express concerns about personal care and socioemotional-environmental issues. Results yielded further evidence of gender differences in the patterns of resident complaints. Nursing home social workers are highlighted as agents in changing embedded stereotypes about residents and complaints.     

Aging on the job

The older population is growing faster than the population as a whole. Paid work is the main mechanism for physical activity in humans. We, therefore, wanted to ascertain whether work practices (such as employment status and the types of tasks workers perform) follow the biological decline in physical activity that occurs with aging in humans and many other species. We recorded work practices in 3352 adults in the Ivory Coast to establish how work burdens are distributed across different age groups in a community that is minimally fettered by legal constraints. We found a decrease in the amount of work performed with increasing age, and we found that elderly persons performed more skilled, less exothermic tasks than younger workers. These data mirror global workforce distribution trends expressed by age. If the trend continues, a major portion of the population will be unlikely to contribute to the labor force in the near future, producing potentially adverse economic consequences in some populations. Although the problem might be averted or at least minimized by implementing different employment policies, biological factors could overlay and supervene any economic planning.     

Integration and efficiency convergence in EU banking markets

Evidence of financial integration and convergence are considered of importance in assessing the outcome of EU deregulation policies aimed at improving the efficiency and performance of banking sectors. This paper evaluates the recent dynamics of bank cost efficiency by means of data envelopment analysis (DEA). Borrowing from the growth literature, we apply dynamic panel data models (GMM) to the concepts of β-convergence and σ-convergence to assess the speed at which banking markets are integrating. We also employ a partial adjustment model to evaluate convergence towards best practice. Results seem to provide supporting evidence of convergence of efficiency levels towards an EU average. Nevertheless, there is no evidence of an overall improvement of efficiency levels towards best practice.     

Ecological Information Needs for Environmental Justice

The concept that all peoples should have their voices heard on matters that affect their well‐being is at the core of environmental justice (EJ). The inability of some people of small towns, rural areas, minority, and low‐income communities, to become involved in environmental decisions is sometimes due to a lack of information. We provide a template for the ecological information that is essential to examine environmental risks to EJ populations within average communities, using case studies from South Carolina (Savannah River, a DOE site with minority impacts), Washington (Hanford, a DOE site with Native American impacts), and New Jersey (nonpoint, urbanized community pollution). While the basic ecological and public health information needs for risk evaluations and assessments are well described, less attention has been focused on standardizing information about EJ communities or EJ populations within larger communities. We suggest that information needed about EJ communities and populations includes demographics, consumptive and nonconsumptive uses of their regional environment (for example, maintenance and cosmetic, medicinal/religious/cultural uses), eco‐dependency webs, and eco‐cultural attributes. A purely demographics approach might not even identify EJ populations or neighborhoods, much less their spatial relation to the impact source or to each other. Using information from three case studies, we illustrate that some information is readily available (e.g., consumption rates for standard items such as fish), but there is less information about medicinal, cultural, religious, eco‐cultural dependency webs, and eco‐cultural attributes, all of which depend in some way on intact, functioning, and healthy ecosystems.     

Facilitating the Calculation of the Efficient Score Using Symbolic Computing

The score statistic continues to be a fundamental tool for statistical inference. In the analysis of data from high-throughput genomic assays, inference on the basis of the score usually enjoys greater stability, considerably higher computational efficiency, and lends itself more readily to the use of resampling methods than the asymptotically equivalent Wald or likelihood ratio tests. The score function often depends on a set of unknown nuisance parameters which have to be replaced by estimators, but can be improved by calculating the efficient score, which accounts for the variability induced by estimating these parameters. Manual derivation of the efficient score is tedious and error-prone, so we illustrate using computer algebra to facilitate this derivation. We demonstrate this process within the context of a standard example from genetic association analyses, though the techniques shown here could be applied to any derivation, and have a place in the toolbox of any modern statistician. We further show how the resulting symbolic expressions can be readily ported to compiled languages, to develop fast numerical algorithms for high-throughput genomic analysis. We conclude by considering extensions of this approach. The code featured in this report is available online as part of the supplementary material.     

Mechanistic Insights Aid the Search for CFC Substitutes: Risk Assessment of HCFC-123 as an Example

An international consensus on the need to reduce the use of chlorofluorocarbons (CFCs) and other ozone-depleting gases such as the halons led to the adoptions of the 1987 Montreal Protocol and Title VI of the 1990 Clean Air Act Amendments, "Protecting Stratospheric Ozone." These agreements included major provisions for reducing and eventually phasing out production and use of CFCs and halons as well as advancing the development of replacement chemicals. Because of the ubiquitous use and benefits of CFCs and halons, an expeditious search for safe replacements to meet the legislative deadlines is of critical importance. Toxicity testing and health risk assessment programs were established to evaluate the health and environmental impact of these replacement chemicals. Development and implementation of these programs as well as the structural-activity relationships significant for the development of the replacement chemicals are described below. A dose-response evaluation for the health risk assessment of the replacement chemical HCFC-123 (2,2-dichloro-1,1,1-trifluoroethane) is also presented to show an innovative use of physiologically based pharmacokinetic (PBPK) modeling. This is based on a parallelogram approach using data on the anesthetic gas halothane, a structural analog to HCFC-123. Halothane and HCFC-123 both form the same metabolite, trifluoroacetic acid (TFA), indicative of the same metabolic oxidative pathway attributed to hepatotoxicity. The parallelogram approach demonstrates the application of template model structures and shows how PBPK modeling, together with judicious experimental design, can be used to improve the accuracy of health risk assessment and to decrease the need for extensive laboratory animal testing.     

Deviation from Organizational Norms Concerning the Relationship Between Status and Power: Equity vs. Self-Interest Theory

In past research on status and power, the two variables have often been confounded. Within an experimentally induced organization, status and power were separated and their effects on a series of dependent variables were examined. A three-factor design using high and low levels of power and status and norms prescribing defernce to high status or to high power was created. Differing predictions for deviation from the prescribed norms of self-interest theory and equity theory were contrasted. The data indicate that a low power, high status individual who is in an organization which rewards high power will deviate from the prescribed norms in order to increase his rewards. Status affected subjects' self-perceptions and interacted with power to affect conformity to prescribed norms and perception of partner.