Improving Weight of Evidence Approaches to Chemical Evaluations

Federal and other regulatory agencies often use or claim to use a weight of evidence (WoE) approach in chemical evaluation. Their approaches to the use of WoE, however, differ significantly, rely heavily on subjective professional judgment, and merit improvement. We review uses of WoE approaches in key articles in the peer‐reviewed scientific literature, and find significant variations. We find that a hypothesis‐based WoE approach, developed by Lorenz Rhomberg et al., can provide a stronger scientific basis for chemical assessment while improving transparency and preserving the appropriate scope of professional judgment. Their approach, while still evolving, relies on the explicit specification of the hypothesized basis for using the information at hand to infer the ability of an agent to cause human health impacts or, more broadly, affect other endpoints of concern. We describe and endorse such a hypothesis‐based WoE approach to chemical evaluation.     

Too Good to be False: An Essay in the Folklore of Social Science

In 1939, Carl Hovland and Robert R. Sears presented data that they believed linked fluctuations in the price of cotton to lynchings in the South, a linkage first suggested six years earlier by Arthur Raper. This correlation quickly became a popular illustration of frustration-aggression theory. A few years later, a statistical critique by Alexander Mintz cast the reality of the association into doubt, but a sample survey of members of the Society for the Psychological Study of Social Issues reveals that Howland and Sears's "finding" is still widely, if imprecisely, known and accepted. Their article continues to be cited in the social-psychological literature and in many introductory textbooks. The failure of Mintz's critique to catch up with the striking but flawed, original report illustrates a structured impediment to reliable knowledge in the social sciences.     

Social inequality and art institutions

Our objective is to examine how several aspects of the class structure influence the prevalence of artistic institutions. The analysis is based on quantitative comparisons of the 125 largest metropolitan areas in the United States. Most of the literature on the history of art concludes that artistic developments depend on the patronage of an elite—as noble patrons, as rich donors, or even as affluent bourgeois donors and audiences. Whereas these conclusions imply that class inequalities further the growth of the arts, our empirical findings indicate the opposite. Both lesser inequality and reductions of inequality in a metropolis increase a variety of artistic institutions, and these influences persist when other influences on these institutions are controlled.     

Project LIFE: a partnership to increase physical activity in elders with multiple chronic illnesses

The authors describe a medical center-based randomized trial aimed at determining the feasibility and effectiveness of partnering patients and primary-care providers with an exercise health counselor. Study participants included 165 veterans age 70 years and older. The primary end point was change in physical activity at 3 and 6 months comparing patients receiving high-intensity physical activity counseling, attention control counseling, and usual care after receiving standardized clinic-based counseling. We noted a significant Group x Time interaction (p = .041) for physical activity frequency and a similar effect for caloric expenditure (p = .054). Participants receiving high-intensity counseling and usual care increased physical activity over the short term, but those with usual care returned to baseline by the end of the study. The intervention was well received by practitioners and patients. We conclude that partnering primary-care providers with specialized exercise counselors for age- and health-appropriate physical activity counseling is effective.     

Race,Gender, and Social Support: A Study of Networks in a Financial Services Organization

A wealth of research indicates that social support improves employees' well-being and job performance. What is not well understood is how employees' race and gender influence the receipt of this type of support. I analyze qualitative and quantitative data to understand how race and gender influence the social support that workers receive. The results suggest that neither structural nor relational factors explain why blacks receive social support from fewer network members than whites. There is some evidence that relational factors contribute to gender differences in the receipt of social support, however. Interviews with workers suggest that gender schemata, the sex-typing of networks, reactions to racial discrimination, and differences in the value placed on social support contribute to race and gender differences in social support.     

Enhancing Wellbeing in Social Work Students: Building Resilience in the Next Generation

The need for social workers to be resilient is widely emphasised. Although enhancing resilience in social work trainees presents a challenge to educators, they are nonetheless responsible for developing professionals who are able to cope with the emotional demands of the job. This paper argues that building resilience in the future workforce should be a key element of social work education. However, as little is known about the competencies and support structures that underpin resilience or the extent to which resilience protects the wellbeing of trainees, an evidence-based approach is required to inform curriculum development.

Recent research conducted by the authors of this paper has highlighted the protective nature of resilience in social work trainees. Emotional intelligence and associated competencies, such as reflective ability, aspects of empathy and social confidence, were found to be key predictors of this important quality. The important role played by social support from various sources was also emphasised. The present paper summarises this research, and presents interventions based on the findings that have the potential to promote resilience and wellbeing in social work trainees. Also considered are ways in which the curriculum might be further enhanced to provide trainees with an internal ‘tool-box’ of strategies that will help them manage their wellbeing more effectively in their future career.     

Treatment for Hoarding Behaviors: A Review of the Evidence

This article reviews the empirical literature on treating clients with hoarding behaviors, including psychosocial treatments, mainly cognitive behavioral, and pharmacotherapy. Standard treatments used for obsessive compulsive disorder (OCD) such as medication and/or behavior therapy have been associated with poor treatment response for those with hoarding. Recent prospective pharmacotherapy research suggests that serotonergic medication may be helpful to OCD patients with or without hoarding. A multi-component cognitive behavioral treatment (CBT) designed specifically for hoarding has shown promising results especially in trials of individual therapy with periodic home visits. Social work researchers have played a prominent role in the development and testing of this CBT intervention and development of instruments to assess hoarding treatment outcomes. This CBT intervention has demonstrated modest success when delivered individually in an open trial and a waitlist-controlled trial, and in quasi-experimental studies of group treatment modalities, including in-person and web-based groups as well as bibliotherapy-based support groups. Overall, evidence supports the use of specialized CBT methods to improve hoarding symptoms. Future testing may include controlled trials with more diverse samples.     

Estimation and interpretation of models of absolute risk from epidemiologic data,including family-based studies

Absolute risk is the chance that a person with given risk factors and free of the disease of interest at age a will be diagnosed with that disease in the interval (a, a + τ]. Absolute risk is sometimes called cumulative incidence. Absolute risk is a “crude” risk because it is reduced by the chance that the person will die of competing causes of death before developing the disease of interest. Cohort studies admit flexibility in modeling absolute risk, either by allowing covariates to affect the cause-specific relative hazards or to affect the absolute risk itself. An advantage of cause-specific relative risk models is that various data sources can be used to fit the required components. For example, case–control data can be used to estimate relative risk and attributable risk, and these can be combined with registry data on age-specific composite hazard rates for the disease of interest and with national data on competing hazards of mortality to estimate absolute risk. Family-based designs, such as the kin-cohort design and collections of pedigrees with multiple affected individuals can be used to estimate the genotype-specific hazard of disease. Such analyses must be adjusted for ascertainment, and failure to take into account residual familial risk, such as might be induced by unmeasured genetic variants or by unmeasured behavioral or environmental exposures that are correlated within families, can lead to overestimates of mutation-specific absolute risk in the general population.