Mobile and tablet apps, ubiquitous and pervasive computing, wearable computing and domotics for health.

Spirituality and religion have been identified as important determinants of health for adults; however, the impact of faith-oriented factors on health behaviors and outcomes among African American adolescent males has not been well studied. The purpose of this study is to examine the relationship between religiosity and spirituality and obesity-related behaviors among 12–19 year old African American males (N = 105) in the Jackson Heart KIDS Pilot Study. Key variables of interest are church attendance, prayer, daily spirituality, weight status, attempts to lose weight, nutrition, physical activity, and stress. Daily spirituality is associated with whether an individual attempts to lose weight. The results from logistic regression models suggest that daily spirituality increases the odds that African American male adolescents attempt to lose weight (OR = 1.22, CI: 1.07–1.41) and have a history of diet-focused weight management (OR = 1.13, CI: 1.02–1.26). Future studies are needed to further explore the association between religion, spirituality, and obesity-related behaviors.

The Community Engagement Alliance (CEAL) Against COVID-19 Disparities aims to conduct community-engaged research and outreach. This paper describes the Texas CEAL Consortium’s activities in the first year and evaluates progress. The Texas CEAL Consortium comprised seven projects. To evaluate the Texas CEAL Consortium’s progress, we used components of the RE-AIM Framework. Evaluation included estimating the number of people reached for data collection and education activities (reach), individual project goals and progress (effectiveness), partnerships established and partner engagement (adoption), and outreach and education activities (implementation). During the one-year period, focus groups were conducted with 172 people and surveys with 2107 people across Texas. Partners represented various types of organizations, including 11 non-profit organizations, 4 academic institutions, 3 civic groups, 3 government agencies, 2 grassroots organizations, 2 faith-based organizations, 1 clinic, and 4 that were of other types. The main facets of implementation consisted of education activities and the development of trainings. Key recommendations for future consortiums relate to funding and research logistics and the value of strong community partnerships. The lessons learned in this first year of rapid deployment inform ongoing work by the Texas CEAL Consortium and future community-engaged projects.

As of late May 2020, more than 1.5 million people had tested positive for coronavirus infection in the United States; however, only 3% of Americans had been tested. However, testing is only one of the key elements in the effort to control communicable diseases. There is a need to investigate others who may have been exposed to the virus; this can be accomplished through a foundational public health strategy – contact tracing. Most public health students and professionals have been introduced to the concept of contact tracing; however, competency in this area is undetermined. The purpose of this perspective is to call for national standards for contact tracing training programs that lead to a widely recognized certification process. Ethn Dis. 2020;30(3):437-440; doi:10.18865/ed.30.3.437

This study examines the design, implementation, and evaluation of a Digital Educational Escape Room (DEER) titled “Escape from the Doctor’s Office,” developed to enhance artificial intelligence/machine learning (AI/ML) literacy. Grounded in constructivist pedagogy and behaviorist principles, the DEER was designed using the ADDIE framework (Analyze, Design, Develop, Implement, Evaluate) and guided by Fu and Yu’s Three-Layered Thinking Model of Game Design to align educational content with engaging gameplay. The game incorporated AI/ML concepts such as data science, algorithms, and ethical considerations within a healthcare narrative. Piloted during the first two weeks of a summer research program for six U.S.-based computer science undergraduate and graduate students, the DEER engaged participants in collaborative, time-bound problem-solving through interactive puzzles and group discussion. Results from a post-questionnaire and analysis of field notes demonstrated the game's effectiveness in promoting teamwork, generating interest in AI/ML concepts, and engaging participants actively in the learning process.