Attitudes of nursing students toward death and dying: A research note

Fear, denial, and the avoidance of death and dying appear to be products of life in modern society. While society insulates most people from contact with the death and dying of others, there are professions that come into repeated contact with dying individuals. The present study uses the Collett‐Lester Fear of Death Scale to analyze the Fear of Death and Dying for Self and Others (four subscales) among a sample of registered nurses (BA level). Over a 10‐year period, nurses’ fears concerning death and dying were measured at three points—before a course on death and dying (Pretest), after the course (Posttest), and at a point in their professional nursing practice (Retest). The results suggest that these nurses’ fears of death for self and others change at a statistically significant level over the Pretest and Posttest observations; however, the changes are temporary. The Fear of Dying for Self and Others tends to decline significantly over the Pretest and Retest observations. Age, religion, religiosity, and employment factors were also analyzed vis‐à‐vis the Fear of Death and Dying Subscales. Some directions for additional research into nurses’ fears about death and dying are given.     

Diagnostics for multivariate imputations

Summary.  We consider three sorts of diagnostics for random imputations: displays of the completed data, which are intended to reveal unusual patterns that might suggest problems with the imputations, comparisons of the distributions of observed and imputed data values and checks of the fit of observed data to the model that is used to create the imputations. We formulate these methods in terms of sequential regression multivariate imputation, which is an iterative procedure in which the missing values of each variable are randomly imputed conditionally on all the other variables in the completed data matrix. We also consider a recalibration procedure for sequential regression imputations. We apply these methods to the 2002 environmental sustainability index, which is a linear aggregation of 64 environmental variables on 142 countries.     

On the definition and varieties of attitude and wellbeing

In a paper published in Social Indicators Research in 1975, Levy and Guttman proved the proposition that wellbeing is a special case of attitude. They exploited this result for establishing a certain lawfulness for wellbeing behavior, and built on this for revealing more specialized features of the lawfulness. Five years later in this same journal, Andrews and McKennell published two papers on exactly the same proposition, but without proving it, without building on known relevant lawfulness of attitudinal behavior, and without mentioning (neither positively nor negatively) the Levy-Guttman work. The Andrews-McKennell papers are shown to be a retrogression rather than a scientific advance, being conceptually confused, using inappropriate data analysis, and dealing with arbitrary assumptions which are either untested, untestable or false.     

NASW’s Supervisory Leaders in Aging: An Acceptable and Feasible Model for Training and Supporting Social Work Supervisors

Social services are instrumental in addressing challenges associated with aging. Yet, practitioners report needing expanded gerontological knowledge and better supervision. The Supervisory Leaders in Aging (SLA) program of the National Association of Social Workers (NASW) was designed to improve gerontological services by strengthening supervision of the social service workforce. With support from the John A. Hartford Foundation, the program was adopted between 2015 and 2017 in four regions, where NASW trained 134 MSW supervisors who support 1200 social service staff, potentially enhancing the well-being of 264,000 clients annually. The SLA curriculum and in-person educational approach constitute a model for supervisor professional development. Quality improvement evaluations suggested feasibility of program adoption and acceptability. Participants rated each of 10 workshops and 97% agreed that instructors were effective, that knowledge was expanded, and that content was relevant, appropriate, and likely to be used. Implications of this model for enhancing supervisory practice are discussed.     

Practice-Specific Risk Perceptions and Self-Reported Food Safety Practices

The relationship between risk perception and risk avoidance is typically analyzed using self-reported measures. However, in domains such as driving or food handling, the validity of responses about usual behavior is threatened because people think about the situations in which they are self-aware, such as when they encounter a hazard. Indeed, researchers have often noted a divergence between what people say about their behavior and how they actually behave. Thus, in order to draw conclusions about risk perceptions and risk avoidance from survey data, it is important to identify particular cognitive elements, such as those measured by questions about risk and safety knowledge, risk perceptions, or information search behavior, which may be effective antecedents of self-reported safety behavior. It is also important to identify and correct for potential sources of bias that may exist in the data. The authors analyze the Food and Drug Administration's 1998 Food Safety Survey to determine whether there are consistent cognitive antecedents for three types of safe food practices: preparation, eating, and cooling of foods. An assessment of measurement biases shows that endogeneity of food choices affects reports of food preparation. In addition, response bias affects reports of cooling practices as evidenced by its relation to knowledge and information search, a pattern of cognitive effects unique to cooling practices. After correcting for these biases, results show that practice-specific risk perceptions are the primary cognitive antecedents of safe food behavior, which has implications for the design of effective education messages about food safety.     

Major Factors Influencing the Health Impacts from Controlling Air Pollutants with Nonlinear Chemistry: An Application to China

Predicting the human‐health effects of reducing atmospheric emissions of nitrogen oxide (NO_x) emissions from power plants, motor vehicles, and other sources is complex because of nonlinearity in the relevant atmospheric processes. We estimate the health impacts of changes in fine particulate matter (PM_2.5) and ozone concentrations that result from control of NO_x emissions alone and in conjunction with other pollutants in and outside the mega‐city of Shanghai, China. The Community Multiscale Air Quality (CMAQ) Modeling System is applied to model the effects on atmospheric concentrations of emissions from different economic sectors and geographic locations. Health impacts are quantified by combining concentration‐response functions from the epidemiological literature with pollutant concentration and population distributions. We find that the health benefits per ton of emission reduction are more sensitive to the location (i.e., inside vs. outside of Shanghai) than to the sectors that are controlled. For eastern China, we predict between 1 and 20 fewer premature deaths per year per 1,000 tons of NO_x emission reductions, valued at $300–$6,000 per ton. Health benefits are sensitive to seasonal variation in emission controls. Policies to control NO_x emissions need to consider emission location, season, and simultaneous control of other pollutants to avoid unintended consequences.     

Air pollution and stock returns in the US

Health related research documents that air pollution has negative mood effects. Experimental works in psychology relate bad mood to increased risk aversion. Studies in financial economics report an observed link between mood effects and stock market returns. This study therefore investigates whether the mood effects caused by air pollution can have economic implications. It examines the relationship between air pollution and stock returns using data from the Air Quality Index, and stock returns from four stock exchanges in the US. We find that air pollution is negatively related to stock returns, even when controlling for other variables. The relationship becomes weaker as the distance of the stock exchange from the polluted area increases. The results also indicate that air pollution may even affect local traders investing in securities exchanges located far from the polluted area. The findings imply that a profitable trading strategy can be constructed.