Shame,Sexual Compulsivity,and Eroticizing Flirtatious Others: An Experimental Study

Clinical observation and correlational studies with nonclinical samples suggest that a linkage between negative affective states (especially shame) and engagement in erotic pursuits typifies sexual compulsivity. The present study tested whether experimental induction of shame leads to increased interest in erotically suggestive targets among more sexually compulsive individuals. A total of 74 age-traditional heterosexual university students first recalled either an emotionally neutral or a shame-inducing personal experience, then completed a nonpredictive gaze-cueing task featuring flirtatious or emotionally neutral faces of the same or opposite sex. They also rated the faces’ attractiveness and completed a validated sexual compulsivity scale and two control measures (executive control, sociosexuality). Higher (versus lower) sexual compulsivity predicted weaker gaze-triggered attentional orienting in response to the flirtatious opposite-sex face in the shame (versus neutral) condition, and this was accounted for by (higher) attractiveness ratings of the flirtatious opposite-sex face. Shame thus appears to increase sexualization (i.e., reduces salience of agentic features and increases appeal of physical attributes) of erotically suggestive targets among more sexually compulsive individuals.     

Environmental Exposures to Metals in Native Communities and Implications for Child Development: Basis for the Navajo Birth Cohort Study

Two disparate statistics often cited for the Western United States raise concern about risks for developmental disabilities in Native American children. First, 13 of the states with the highest percentage of Native American population are located in the Western United States (U.S. Census Bureau, 2012 U.S. Census Bureau. (2012). The American Indian and Alaska Native Population: 2010 (U.S. Census Briefs, January, #C2010BR-10). Retrieved from http://www.census.gov/prod/cen2010/briefs/c2010br-10.pdf [Google Scholar]). Second, more than 161,000 abandoned hard-rock mines are located in 12 Western states (General Accounting Office, 2014 General Accounting Office. (2014, July 14). GAO-11–834T: Abandoned Mines. Information on the number of hardrock mines, cost of cleanup, and value of financial assurances. Statement of Anu K. Mittal, Director, Natural Resources and Environment Team, Testimony before the Subcommittee on Energy and Mineral Resources, Committee on Natural Resources, House of Representatives. Retrieved from http://www.gao.gov/products/GAO-11-834T [Google Scholar]). Moreover, numerous studies have linked low-level metals exposure with birth defects and developmental delays. Concern has emerged among tribal populations that metals exposure from abandoned mines might threaten development of future generations.     

Improved Estimates and Confidence Intervals for Regenerative Simulation

In regenerative simulation, one frequently requires an estimate or a confidence interval for the ratio of the means of the two components of a certain bivariate random quantity. Estimation of this ratio has been studied by many authors and most recently by Asmussen and Rydén(2010 Asmussen, S., Rydén, T. (2010). A note on skewness in regenerative simulation. Communications in Statistics—Simulation and Computation 40: 45–57.[Taylor &; Francis Online], [Web of Science ®] , [Google Scholar]). Here, we propose an estimate that performs better than the best of the known estimates. Our estimate is also lot simpler than the best known estimate.     

Effect of COVID-19 on Household Food Insecurity and Poverty: Evidence from Ghana

Social Indicators Research - Following the outbreak of COVID-19 and its heavy toll on the global community and humanity, a fierce debate on the pandemic and Sustainable Development Goals (SDGs)...     

LGBT Health in the Midlands: A Rural/Urban Comparison of Basic Health Indicators

Research into the health and wellbeing of rural lesbian, gay, bisexual, and transgender (LGBT) populations is limited. A community-based participatory research (CBPR) approach was used to develop an online survey for LGBT Nebraskans. The 770 participants replied to an array of questions on social determinants of health and basic health outcomes. Only significant differences in having health insurance were found between urban and rural participants. Social determinants of health were explored. Results of this study suggest that regional culture may be more salient to health for lesbian, gay, bisexual, and transgender persons living in the Midwest than rural or urban residence.     

Business Mobilization and Public Policy in the U.S. States*

Objective. The goal of this study is to examine how the political mobilization of business interests influences aggregate public policy outputs in the states. We examine the relationship between business mobilization and general state policy liberalism, as well as policy that we term state “business policy climate.” Methods. We construct a measure of the “business policy climate” from a number of tax and regulatory indicators in the states and examine whether business influences it and policy liberalism using ordinary least squares regression. Results. The analysis shows that business mobilization does not influence general policy liberalism but is a significant influence on a state's business policy climate. Specifically, the dominance of a state's campaign finance system by business interests makes policy more favorable toward business. Conclusions. The extent of business mobilization in a state is an important influence on public policy outputs but is constrained by the activities of other political actors such as unions.     

Understanding the socio-economic distribution of multiple deprivation: An application of self-organising maps

In this paper we seek to contribute to recent efforts to develop and implement multi-dimensional approaches to social exclusion by applying self-organising maps (SOMs) to a set of material deprivation indicators from the Irish component of EU-SILC. The first stage of our analysis involves the identification of sixteen clusters that confirm the multi-dimensional nature of deprivation in contemporary Ireland and the limitations of focusing solely on income. In going beyond this mapping stage, we consider both patterns of socio-economic differentiation in relation to cluster membership and the extent to which such membership contributes to our understanding of economic stress. Our analysis makes clear the continuing importance of traditional forms of stratification relating to factors such as income, social class and housing tenure in accounting for patterns of multiple deprivation. However, it also confirms the role of acute life events and life cycle and location influences. Most importantly, it demonstrates that conclusions relating to the relative impact of different kinds of socio-economic influences are highly dependent on the form of deprivation being considered. Our analysis suggests that debates relating to the extent to which poverty and social exclusion have become individualized should take particular care to distinguish between different kinds of outcomes. Further analysis demonstrates that the SOM approach is considerably more successful than a comparable latent class analysis in identifying those exposed to subjective economic stress.