Forced Sexual Experiences and Sexual Situation Self‐Efficacy Among South African Youth

Nearly 20% of South African youth experience forced or coerced sexual intercourse. Understanding the factors associated with forced sex is important for informing prevention programs aimed at reducing sexual violence and HIV and AIDS. Multilevel regression models test the association between sexual situation self‐efficacy and forced sex among 2,893 South African adolescents. Findings suggest that youth are more likely to experience forced sex after periods of time when their levels of self‐efficacy are lower than their average levels of self‐efficacy. Furthermore, youth who are lower on their self‐efficacy compared to their peers are more likely to experience forced sex. Implications for prevention research are discussed.     

Poly-victimization and resilience portfolios: Trends in violence research that can enhance the understanding and prevention of elder abuse

ABSTRACT

This literature review assesses the current state of knowledge about elder abuse and mistreatment, focusing on the lack of incorporation of all forms of elder victimization and the benefits of a poly-victimization framework. This review also includes existing knowledge on risk factors and calls for a greater focus on protective factors and a greater inclusion on family and community factors. Future research, prevention, and intervention would benefit from considering the true burden of elder victimization and a greater implementation of strengths-based approaches to programs.     

Alcohol use and strenuous physical activity in college students: A longitudinal test of 2 explanatory models of health behavior

Objective: To help clarify the effect of gender on the bidirectional relationship between alcohol use and strenuous physical activity in college students. Participants: Five hundred twenty-four (52% female) college students recruited in August 2008 and 2009 and followed up in April 2009 and April 2011, respectively. Methods: Participants reported their alcohol use and strenuous physical activity on 2 occasions (baseline and follow-up) spaced approximately 1 or 2 years apart. Results: For females, alcohol use quantity at baseline was associated with increased strenuous physical activity at 1- and 2-year follow-ups, and alcohol use frequency at baseline was associated with decreased strenuous physical activity at 2-year follow-up. For males, alcohol use frequency at baseline predicted decreased strenuous physical activity at 1-year follow-up. Conclusions: Gender differences may be explained from an eating disorders perspective such that women use physical activity as a compensatory strategy to combat potential weight gain from calories consumed during alcohol use.     

Improving the detection of unusual observations in high‐dimensional settings

Multivariate control charts are used to monitor stochastic processes for changes and unusual observations. Hotelling's T² statistic is calculated for each new observation and an out‐of‐control signal is issued if it goes beyond the control limits. However, this classical approach becomes unreliable as the number of variables p approaches the number of observations n, and impossible when p exceeds n. In this paper, we devise an improvement to the monitoring procedure in high‐dimensional settings. We regularise the covariance matrix to estimate the baseline parameter and incorporate a leave‐one‐out re‐sampling approach to estimate the empirical distribution of future observations. An extensive simulation study demonstrates that the new method outperforms the classical Hotelling T² approach in power, and maintains appropriate false positive rates. We demonstrate the utility of the method using a set of quality control samples collected to monitor a gas chromatography–mass spectrometry apparatus over a period of 67 days.     

Standing up to complexity: researching moral panics in social work

Moral panics are central to social work policy and practice. Voluntary agencies and statutory bodies (including governments) create and sustain moral panics in order to raise awareness of, and win support for, their own understandings of social issues and problems. This is not a neutral enterprise; on the contrary, moral panics often have consequences that are negative, whether intended or unintended. Far from leading to greater social justice and a more equal society, they may reinforce stereotypes and lead to fearful, risk-averse practice. This paper discusses one such moral panic in 2013 that centred on the story of ‘Maria’, a Bulgarian Roma child living in Greece. The paper explores the meaning and use of the concept of moral panic before unpacking this case-study example in more detail. We argue that the moral panic over ‘Maria’ has much to tell us about ideas of welfare and protection, institutional racism and children and childhood, as well as the connections between ‘private troubles’ and ‘public issues’. We conclude that social work as a profession must stand up to complexity, and in doing so, be aware of its own role in relation to moral panics.     

Confrontations and donations: encounters between homeless pet owners and the public

This study examines the interactions between homeless pet owners and the domiciled public with a focus on how the activities of pet ownership help construct positive personal identities. Homeless people are often criticized for having pets. They counter these attacks using open and contained responses to stigmatization. More often, they redefine pet ownership to incorporate how they provide for their animals, challenging definitions that require a physical home. Homeless pet owners thus create a positive moral identity by emphasizing that they feed their animals first and give them freedom that the pets of the domiciled lack. Through what we call “enabled resistance,” donations of pet food from the supportive public provide the resources to minimize the impact of stigmatization.     

Ambulance allocation for maximal survival with heterogeneous outcome measures

This paper proposes new models for locating emergency medical services (EMS) by incorporating survival functions for capturing multiple-classes of heterogeneous patients. The Maximal Expected Survival Location Model for Heterogeneous Patients (MESLMHP) aims to maximize the overall expected survival probability of multiple-classes of patients, whereby different classes could be defined according to agreed patient categories based on response time targets, or by capturing differing medical conditions each with a corresponding survival function. Furthermore, we propose and demonstrate an approximation approach to solving the extended stochastic version of MESLMHP, which utilizes queuing theory to permit the modeling of congestion and utilization at each ambulance station, and does not require assumptions to be made on the utilization of ambulances. Both models are demonstrated using data from the ambulance service in Wales. We show that our multiple outcome measures and survival-maximizing approach, rather than one based on average response time targets alone or a single patient class provides more effective EMS ambulance allocations.     

Bittersweet and Paradoxical

The American Red Cross is the most active nonprofit organization involved in disaster planning and response in the United States. The organization deployed nearly 50,000 volunteers to provide essential support to victims of some 125,000 domestic disasters, including home fires, hurricanes, wildfires, and floods, in a recent two‐year period. This study asks how American Red Cross disaster response volunteer experiences function to cultivate satisfaction and, at the other end of the spectrum, the kind of dissatisfaction that leads people to quit; it pays particular attention to ways in which volunteer management shapes dissatisfaction and fatigue because of implications for volunteer retention. Paradoxically, the Red Cross facilitates the highly satisfying act of helping victims, but volunteers feel dissatisfied when management practices get in the way of helping. The study suggests voluntary organizations that rely on skilled, long‐term volunteers to deliver services should evaluate and strengthen their communication strategies, recognition practices, and support systems for volunteers in distress.     

Incomes after Job‐loss in the United States: From Programme Rules to Panel Data

Welfare state studies are usually motivated by one or both of two concerns: programme effects on the incidence of poverty, and the possibility of perverse incentive effects. Most research has been comparative, using cross‐national indicators from the Organisation for Economic Co‐operation and Development and other international organizations. That research often contrasts the generosity of programmes in a number of European countries and the lack of it in the USA. Focusing on income transfers after job‐loss, in this article we critically examine the comparative evidence on US welfare state generosity and then use the Panel Study of Income Dynamics (PSID) to estimate what happens to job‐losers' incomes. The comparative analysis suggests conclusions more nuanced than found in much of the literature. The PSID analysis shows how the income effects of job‐loss vary across job‐losers and suggests that the role of unemployment compensation programmes in supporting incomes may be overstated.