A Scoping Review of Sport-Based Health Promotion Interventions With Youth in Africa.

Africa has the highest rates of child mortality and diseases in the world. Research suggests that sport can be an effective way to enhance health knowledge and behaviors among at-risk youth in Africa. Scoping reviews explore both the breadth and depth of a research topic, which allows researchers to conduct a detailed analysis and synthesis of studies to understand how, why, and under what circumstances sport-based interventions are effective. The purpose of this scoping review was to specifically examine the study design, theoretical foundations, sample characteristics, measured and observed outcomes, intervention characteristics, and funding sources identified in previous studies that examined sport as a platform for health promotion with youth in Africa. A total of 916 articles were retrieved from 10 electronic bibliographic databases; 28 studies met the inclusion criteria. Of these, four were randomized controlled trials, while the remaining were open trials with pre-posttest assessments, both with comparison conditions and without. Only 10 studies included a theoretical framework to specifically inform the sport-based intervention implemented. Targeted health outcomes included knowledge and behaviors related to a myriad physical and mental health concerns, such as HIV, clean water use, vaccinations, physical activity, and fitness. Statistically significant improvements were observed in 82% of the studies examined. Our results suggest that sport-based interventions may be effective in improving health knowledge and behaviors among youth in Africa. Recommendations for future research, including methodology and the importance of global partnerships with nonprofit organizations, are discussed.

Beyond weight loss: A qualitative exploration of participant expectations and strategies for measuring progress during a weight management program.

OBJECTIVES: Previous research with participants in weight management has primarily focused on participant weight-loss expectations. The purpose of this study was to explore participant expectations and strategies for measuring progress during a community-based weight management program. METHODS: Semi-structured interviews were completed with 22 participants with overweight or obesity, who were currently enrolled in a 2-year weight management program in order to understand their expectations and strategies for measuring their progress. RESULTS: Aside from weight loss, participants' expectations included improved health, fitness, and mood, gaining support, and developing new habits. Participants discussed measuring their success by focusing on weight loss and changes to their body, improved health, mood, and fitness, creation of new habits, and gaining additional support. CONCLUSION: The results of this study suggest that participant's in a weight management program expected benefits beyond just weight loss.

Mobile Health (mHealth) Use or Non-Use by Residents of West Virginia.

OBJECTIVE: To compare mobile health (mHealth) usage by residents of West Virginia with national estimates. METHODS: Pew Research Center data from its Internet and American Life Project were accessed for secondary data analysis. These data, available to the public, are a probability sample of Internet use in the United States, differences in use based on selected variables (eg, education, household income), and how usage affects the lives of Americans. Using SAS software, diagnostics were performed on the data, revealing that the variables of interest were prepared and represented without any need for information. Data were used as is, with categorical and continuous characteristics and stipulations being provided in accompanying documents from the Pew Research Center. RESULTS: The national sample consisted of 509 men and 557 women with an average age of 51.02 years (standard deviation 17.04). The 30 West Virginia residents included 19 women and 11 men (mean for age 48.10, standard deviation 15.30). When controlling for socioeconomic and demographics factors, the odds of a West Virginia resident using an mHealth device were 82% less than the rest of the country, a statistically significant association. Women in West Virginia were 52% more likely to access mHealth information than men, and an increase in age corresponded with increased mHealth usage. CONCLUSIONS: The lack of mHealth use by residents in West Virginia represents an opportunity for clinicians and scientists. The high rates of preventable diseases in the region could be more effectively managed with greater use of these technologies.