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Racially minoritized students in the United States constitute 30% of the U.S. population, but students from these populations represent a smaller proportion of those who earn science, technology, engineering, and mathematics (STEM) undergraduate degrees. This disproportionality contributes to race/ethnic income, status, and power inequalities linked to STEM careers. Using a combination of vote counting and narrative approaches, the authors synthesize 50 recent articles about the factors related to college students' STEM participation. Consistent with cumulative disadvantage and critical race theories, findings reveal that the disproportionality of racially minoritized students in STEM is related to their inferior secondary school preparation; the presence of racialized lower quality educational contexts; reduced levels of psychosocial factors associated with STEM success; less exposure to inclusive and appealing curricula and instruction; lower levels of family social, cultural, and financial capital that foster academic outcomes; and fewer prospects for supplemental STEM learning opportunities. Policy implications of findings are discussed.

Statistical literacy is critical for all sociology students because it facilitates academic and professional success, high-paying jobs, and informed citizenship. Most students, however, lack adequate statistical literacy to engage with sociological research. Within that general deficit, there are gender, racial, and social-class differences, with students from historically marginalized groups starting and staying behind. In this conversation, we argue that to deepen statistical literacy and reduce inequalities, instructors must be willing to sacrifice breadth of content to attend to students' psychosocial needs throughout sociology curricula, especially in courses where quantitative methodology is not the core focus. We synthesize prior literature into a holistic psychosocial approach for teaching quantitative sociology content at all course levels: build interest and motivation, foster a growth mindset, develop statistical efficacy, encourage belonging, and challenge stereotypes. [ABSTRACT FROM AUTHOR]

Existing theories explain how the states of nominal characteristics acquire status value and the implications of status characteristics for the distribution of rewards, honor, and esteem in groups. It is less clear how characteristics lose status value. In this article, we combine the logic of status construction theory with loss aversion from decision theory to develop novel predictions about status loss. We predict that removing the mechanism of status construction theory will result in fading consensual status beliefs and that this will occur faster for low status actors. This results in a period of conflicting or asymmetric status beliefs between groups. Results from a six-condition controlled experiment support key predictions of consensual status loss, with low status actors viewing a gain in their status faster than high status actors view a loss to theirs. We discuss ways to extend and refine the work and the implications of our theory for racial and gender status-based inequalities. [ABSTRACT FROM AUTHOR]

Background: A 55-year-old, post-menopausal, obese female with obesity-related symptoms seen by a nutritionist using motivational interviewing and self-determination theory assisted a client with an elimination diet and lifestyle modifications to lose weight., Case/intervention: An elimination diet was the primary component of these recommendations, identifying food sensitivities associated with an inability to lose weight. Biomarkers identified abnormalities to help individualize and guide nutritional recommendations. Motivational interviewing and the self-determination theory were used in this functional nutrition approach., Conclusion: Over a six-week period the client had an 18-pound reduction in weight, a loss of 22.5 inches of girth and decreased bloating., (Copyright © 2020 InnoVision Professional Media Inc.)