Background: Successful community-engaged research depends on the quality of the collaborative partnerships between community -members and academic researchers and may take several forms depending on the purpose which dictates the degree to which power dynamics are handled within the collaborative arrangement.Methods: To understand the power dynamics and related concepts within community-engaged research arrangements, a secondary analysis of an existing qualitative data set was undertaken. Two models of community-engaged research, a review of literature, and the applied experiences of researchers familiar with community engagement practices confirmed the power dynamics concepts used to carry out the analysis of the qualitative data set according to the principles of directed content analysis. This analysis yielded quotes on power dynamics and related issues. Tools to address the power dynamics exposed by the quotes were selected using the literature and lived experience of the researchers. Finally, to ensure trustworthiness, the selected quotes on power dynamics and the recommended tools were subjected to naturalistic treatment using peer debriefings and triangulation.Results: Analysis of existing qualitative data made clear that community-engaged research between health practitioners and communities may take several forms depending on the purpose and dictate how power dynamics, including inequities, biases, discrimination, racism, rank and privilege, are handled within the collaborative arrangement. Three tools including implicit bias training, positionality, and structural competency may be used to address power dynamics and related concepts.Conclusion: Analysis of the qualitative data set highlighted the power dynamics within different community-engaged research models and the tools that may be used to address inequitable power dynamics including implicit bias training, positionality, and structural competency.

Households with a low-income in rural places experience disproportionate levels of food insecurity. Further research is needed about the nuances in strategies that households with a low-income in rural areas apply to support food security nationally. This study aimed to understand the barriers and strategies that households with a low-income in rural areas experience to obtain a meal and support food security in the United States. We conducted a qualitative study with semi-structured interviews among 153 primary grocery shoppers with a low-income residing in rural counties. A majority of family’s ideal meals included animal-based protein, grains, and vegetables. Main themes included struggles to secure food and coping mechanisms. Ten categories included affordability, adequacy, accommodation, appetite, time, food source coordinating, food resource management, reduced quality, rationing for food, and exceptional desperation. These results can inform public health professionals’ efforts when partnering to alleviate food insecurity in rural areas.

The Supplemental Nutrition Assistance Program (SNAP) is a critical program that helps reduce the risk of food insecurity, yet little is known about how SNAP addresses the needs of rural, food-insecure residents in the United States (U.S.). This study examines how rural, food-insecure residents perceive SNAP. Semi-structured interviews were conducted with 153 individuals living in six diverse rural regions of Arkansas, Montana, North Carolina, Oregon, Texas, and West Virginia. SNAP was described as a crucial stop-gap program, keeping families from experiencing persistent food insecurity, making food dollars stretch when the family budget is tight, and helping them purchase healthier foods. For many rural residents interviewed, SNAP was viewed in a largely positive light. In efforts to continue improving SNAP, particularly in light of its relevance during and post-coronavirus (COVID-19) pandemic, policymakers must be aware of rural families’ perceptions of SNAP. Specific improvements may include increased transparency regarding funding formulas, budgeting and nutrition education for recipients, effective training to improve customer service, connections among social service agencies within a community, and increased availability of automation to streamline application processes.

• A bidirectional relationship exists between physical activity and mental health. • During COVID-19, physical activity and mental health status varied by demographic. • Physical activity can be a protective factor against deteriorating mental health.