A Streetcar Named “Derousal”? A Psychophysiological Examination of the Desire–Arousal Distinction in Sexually Functional and Dysfunctional Women

Research indicates that desire and arousal problems are highly interrelated in women. Therefore, hypoactive sexual desire disorder (HSDD) and female sexual arousal disorder (FSAD) were removed from the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5), and a new diagnostic category, female sexual interest/arousal disorder (FSIAD), was created to include both arousal and desire difficulties. However, no research has tried to distinguish these problems based on psychosocial-physiological patterns to identify whether unique profiles exist. This study compared psychosocial-physiological patterns in a community sample of 84 women meeting DSM-IV (American Psychiatric Association, 2000 American Psychiatric Association. (2000). Diagnostic and statistical manual of mental disorders (4th ed., text rev.). Washington, DC: Author.[Crossref] , [Google Scholar]) criteria for HSDD (n = 22), FSAD (n = 18), both disorders (FSAD/HSDD; n = 25), and healthy controls (n = 19). Women completed self-report measures and watched neutral and erotic films while genital arousal (GA) and subjective arousal (SA) were measured. Results indicated that GA increased equally for all groups during the erotic condition, whereas women with HSDD and FSAD/HSDD reported less SA than controls or FSAD women. Women in the clinical groups also showed lower concordance and greater impairment on psychosocial variables as compared to controls, with women with FSAD/HSDD showing lowest functioning. Results have important implications for the classification and treatment of these difficulties.     

It is risky business: can social capital reduce risk-taking behaviours among disadvantaged youth?

This study addresses the gap in the research for sound multidimensional assessment of social capital and its relationship with risk-taking behaviour among youths living in disadvantaged communities. Social capital and adolescent risk-taking outcomes were studied cross-sectionally in 1371 secondary students living in two disadvantaged communities within Australia. First, a multidimensional measure of social capital was developed and tested using confirmatory factor analysis. Then, the associations between social capital and a range of youth risk-taking behaviours were examined using structural equation modelling across five-year groups (Grades 7–12). With a few exceptions, higher levels of social capital and belongingness within the school and community were generally associated with decreases in smoking, alcohol and drug consumption, and physical violence. Some outcomes were more strongly associated with family and peer social capital, while others associated more with neighbour and community social capital, indicating that attempts to build social capital need to be targeted across the whole community. This study supports the notion that social capital can be measured empirically and is beneficial in alleviating many of the detrimental health outcomes commonly associated with risk-taking behaviours during adolescence.     

Applying a Positive Youth Development Perspective to Observation of Bereavement Camps for Children and Adolescents

A positive youth development perspective focuses on recognizing psychosocial strengths and providing social environments that contribute to the development of these in children and adolescents. Bereavement camps can provide such an environment as they help children cope with the death of someone close. The purpose of this study was to observe bereavement camps through the lens of positive youth development to determine the applicability of the eight features of positive developmental settings for describing bereavement camps (safety, appropriate structure, supportive relationships, opportunities to belong, positive norms, support for efficacy, skill building opportunities, integration of family and community). Observational notes were recorded by researchers during on-site visits to three different weekend bereavement camps. Results identified how each element of positive developmental settings was exemplified in either typical camp activities or bereavement-focused activities. For example, assigning campers to cabin groups based on age and gender provided opportunities to belong, and giving campers a comfort object and a big buddy provided supportive relationships. Findings were used to create a positive developmental settings observation checklist for use by bereavement camp practitioners to assess the extent to which each camp provides the requisite elements for promoting positive youth development.     

Assessing Engineering Resilience for Systems with Multiple Performance Measures

Recently, efforts to model and assess a system's resilience to disruptions due to environmental and adversarial threats have increased substantially. Researchers have investigated resilience in many disciplines, including sociology, psychology, computer networks, and engineering systems, to name a few. When assessing engineering system resilience, the resilience assessment typically considers a single performance measure, a disruption, a loss of performance, the time required to recover, or a combination of these elements. We define and use a resilient engineered system definition that separates system resilience into platform and mission resilience. Most complex systems have multiple performance measures; this research proposes using multiple objective decision analysis to assess system resilience for systems with multiple performance measures using two distinct methods. The first method quantifies platform resilience and includes resilience and other “ilities” directly in the value hierarchy, while the second method quantifies mission resilience and uses the “ilities” in the calculation of the expected mission performance for every performance measure in the value hierarchy. We illustrate the mission resilience method using a transportation systems‐of‐systems network with varying levels of resilience due to the level of connectivity and autonomy of the vehicles and platform resilience by using a notional military example. Our analysis found that it is necessary to quantify performance in context with specific mission(s) and scenario(s) under specific threat(s) and then use modeling and simulation to help determine the resilience of a system for a given set of conditions. The example demonstrates how incorporating system mission resilience can improve performance for some performance measures while negatively affecting others.     

Combining Occurrence and Toxicity Information to Identify Priorities for Drinking-Water Mixture Research

Characterizing all possible chemical mixtures in drinking water is a potentially overwhelming project, and the task of assessing each mixture's net toxicity even more daunting. We propose that analyzing occurrence information on mixtures in drinking water may help to narrow the priorities and inform the approaches taken by researchers in mixture toxicology. To illustrate the utility of environmental data for refining the mixtures problem, we use a recent compilation of national ground-water-quality data to examine proposed U.S. Environmental Protection Agency (EPA) and Agency for Toxic Substances and Disease Registry (ATSDR) models of noncancer mixture toxicity. We use data on the occurrence of binary and ternary mixtures of arsenic, cadmium, and manganese to parameterize an additive model and compute hazard index scores for each drinking-water source in the data set. We also use partially parameterized interaction models to perform a bounding analysis estimating the interaction potential of several binary and ternary mixtures for which the toxicological literature is limited. From these results, we estimate a relative value of additional toxicological information for each mixture. For example, we find that according to the U.S. EPA's interaction model, the levels of arsenic and cadmium found in U.S. drinking water are unlikely to have synergistic cardiovascular effects, but the same mixture's potential for synergistic neurological effects merits further study. Similar analysis could in future be used to prioritize toxicological studies based on their potential to reduce scientific and regulatory uncertainty. Environmental data may also provide a means to explore the implications of alternative risk models for the toxicity and interaction of complex mixtures.     

Women and Government Budgets

In recognition of the significant, but often unknown, impact of government budgets on the role and status of women, both Federal and State Labor government administrations have introduced ‘women's budget’ statements. It is important to recognise that the political motivation of governments in establishing women's budgets has been primarily political self interest. To some extent, however, the move also reflects the growing economic focus, and power, of the women's movement. This paper examines the content and limitations of women's budget programs.     

Disability and identity: the challenge of epilepsy

Through examining the case of people with epilepsy (which, as we demonstrate, has an ambiguous status in relation to both popular and academic conceptions of disability) we explore the fluid, negotiable and contingent nature of identity and, in particular, the identification as ‘disabled’. Disability, we argue, cannot be reduced to either biology or social oppression, or even primarily to biological or social factors: it is the outcome of a complex interaction between a multiplicity of factors – biological, environmental, social, psychological, cultural and political – which will interact and be experienced differently by different people, at different times and in different situations. Rather than conceiving of disability in ‘all or nothing’ terms and of differing explanations as competing and mutually exclusive, it would be more productive to see them as partial and potentially complementary contributions to the better understanding of a complex and multifarious reality.     

Speed Mentoring in Teaching and Learning: Young people with experience of the care system mentor social work students

The value of listening and talking to young people with experience of the care system has been recognised as a vital and positive contribution to social work students' learning. A model of co-production was used to develop a series of speed mentoring events whereby social work students placed in local authority children and family settings were mentored by young people with experience of the care system. This tentative review of this small-scale project shares the authors' critical reflections on the value and reliability of this model, for evaluating the outcomes of co-productive mentoring relationships between young people and social work students. The reversal of the power dynamic between student and service user contributed to the unsettling of assumptions about each other and empathy for each other's role. The student authors reflect on learning about the child's experience that has influenced their practice. The mentor authors welcomed the opportunity to participate in the development of ‘young people friendly’ social workers. Suggestions are made as to how this model could be developed to contribute to a more systematic approach to the role of service users in mentoring, advising and contributing to the supervision process of students and social workers.     

Are Poor Neighborhoods Resource Deprived? A Case Study of Childcare Centers in New York*

Objective. Many social scientists believe poor mothers are better off in middle‐class than in poor neighborhoods, partly because the latter are deprived of important institutional resources. We test whether poor neighborhoods are more likely to lack one critical institutional resource, the childcare center. Methods. We use geocoded data on all licensed centers in the City of New York, address matched to Census tracts. We estimate logit models of presence of center in tract, testing for the linear and nonlinear effects of tract poverty level after controlling for residential instability, joblessness, ethnic makeup, and other demographic factors. We complement the analysis with documentary, interview, and ethnographic data on centers in one poor and one nonpoor neighborhood in the city. Results. We find (1) that the probability of presence of a childcare center does not decrease as poverty level increases; (2) the relationship depends strongly on funding source, with privately funded centers being less likely and publicly funded ones more likely to be present in poor neighborhoods; and (3) at least two factors affect why poor neighborhoods are more likely to have certain centers, the local state and the (often neglected) nonprofit infrastructure. Conclusions. The findings suggest that poor mothers are not necessarily better off in middle‐class neighborhoods in this respect. The market assumptions underlying the initial hypothesis should be modified. More empirical research on the effect of the nonprofit sector on the prevalence of neighborhood institutions is needed.