Hip Hop,empowerment, and clinical practice for homeless adults with severe mental illness

This article focuses on the use of a music and empowerment-based group as a vehicle for engagement, and therapeutic, and social-emotional benefits with homeless adults coping with severe mental illness in a shelter setting. The authors present a conceptual framework that includes case illustrations to capture the group process. The group was guided by the MUZUZE Hip Hop and empowerment framework, which is meant to facilitate well-being as evidenced by indicators of social-emotional learning and empowerment-based positive youth development. The authors found that the use of Hip Hop helped foster well-being via pathways of individual and community empowerment. Implications for future research and practice are discussed.     

A Confirmatory Factor Analysis of Home Environment and Home Social Behavior Data from the Elementary School Success Profile for Families

The purpose of the current study was to test the factor structure and scale quality of data provided by caregivers about the home environment and child behavior at home using the Elementary School Success Profile (ESSP) for Families. The ESSP for Families is one component of the ESSP, an online social-environmental assessment that also collects information from students and teachers. Confirmatory factor analyses with Mplus and weighted least squares means and variances adjusted estimation took into account the hierarchical nature and ordinal level of the data. The sample comprised caregivers of 692 third- through fifth-grade students from 13 elementary schools in four districts. A primary model and an alternative model were tested. Models were tested on a random calibration sample and validated with another sample. A nine-factor first-order solution demonstrated superior fit to the data. Scores from the nine scales also demonstrated acceptable internal consistency reliability. Implications for practice and further research are presented.     

Race From the Inside: An Emerging Heterogeneous Race Model

Race matters, influencing life experiences. Race is not a simple concept, and it is not a single category. Racial identity theories, however, typically handle race as a simple Black-White dichotomy that overlooks within-group heterogeneity, substituting a subgroup—young, low socioeconomic status, darker skinned men—for all African Americans. The centrality of this subgroup image reifies what it means to be Black but excludes African Americans who are women, middle class, and so on. We provide an overview of the situation of African Americans, high-lighting within-group diversity in everyday experiences related to gender, socioeconomic status, and physical attributes, including skin tone. Understanding the implications of race from an insider's perspective requires that we view it as a heterogeneous category.     

Different strategies for managing the work non-work interface: a test for unique pathways to work outcomes

Scientific evidence linking employers' efforts to help workers to manage the work non-work interface to actual outcomes at work remains scarce. In this study of 200 women employed in a Canadian school district, a research model was devised to explain how two strategies for managing the interface may affect stress symptoms, absenteeism and turnover intention. Several features distinguish this model from earlier models of the work non-work interface. That is, two directions of work non-work conflict, a mediator between the strategies and work outcomes, are specified, each strategy is set to relate directly to only one direction of conflict, and each direction is set to relate directly to stress symptoms and either absenteeism or turnover intention. LISREL analysis supported the superiority of the research model to a general model incorporating more common conceptualizations of the work non-work interface.     

Choosing race: Multiracial ancestry and identification

Social scientists have become increasingly interested in the racial identification choices of multiracial individuals, partly as a result of the federal government’s new “check all that apply” method of racial identification. However, the majority of work to date has narrowly defined the population of multiracial individuals as the “biracial” children of single-race parents. In this article, we use the open-ended ancestry questions on the 1990 and 2000 5% samples of the US Census to identify a multiracial population that is potentially broader in its understanding of multiraciality. Relative to other studies, we find stronger historical continuity in the patterns of hypodescent and hyperdescent for part-black and part-American Indian ancestry individuals respectively, while we find that multiple-race identification is the modal category for those of part-Asian ancestry. We interpret this as evidence of a new, more flexible classification regime for groups rooted in more recent immigration. Our results suggest that future work on multiracial identification must pay closer attention to the varied histories of specific multiracial ancestry groups.     

Producing ratio measures of effect with quantitative microbial risk assessment

Estimating the risk of infections or other outcomes incident to pathogen exposure is a primary goal of quantitative microbial risk assessment (QMRA). Such estimates are useful to predict population-level risks, to evaluate exposures based on normative or tolerable risk guidelines, and to interpret the likely public health relevance of microbial measurements in environmental media. To evaluate alternative control measures (interventions), ratio estimates of effect (e.g., odds and risk ratios) are needed that are more broadly interpretable in the health sciences and consistent with convention in epidemiology. In this paper, we propose a general method for estimating widely used ratio measures of effect derived from stochastic QMRA approaches, including the generation of appropriate confidence intervals. Such QMRA-derived ratios can be used as a basis for evaluating interventions via hypothesis testing and for inclusion in systematic reviews and meta-analyses in a form consistent with risk estimation approaches commonly used in epidemiology.     

Infant motor development predicts the dynamics of movement during sleep

The characteristics of infant sleep change over the first year. Generally, infants wake and move less at night as they grow older. However, acquisition of new motor skills leads to temporary increases in night waking and movement at night. Indeed, sleep-dependent movement at night is important for sensorimotor development. Nevertheless, little is known about how movement during sleep changes as infants accrue locomotor experience. The current study investigated whether infant sleep and movement during sleep were predicted by infants' walking experience. Seventy-eight infants wore an actigraph to measure physical activity during sleep. Parents reported when their infants first walked across a room >10 feet without stopping or falling. Infants in the midst of walking skill acquisition had worse sleep than an age-group estimate. Infants with more walk experience had more temporally sporadic movement during sleep and a steeper hourly increase in physical activity over the course of the night. Ongoing motor skill consolidation changes the characteristics of movement during sleep and may alter sleep state-dependent memory consolidation. We propose a model whereby changes in gross motor activity during night sleep reflect movement-dependent consolidation.