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Preventive interventions are critical to improving health equity among American Indian (AI) populations, yet interventions that promote physical activity (PA) among AI populations are scarce. This research addresses the research-to-practice gap by informing the adaption and implementation process of evidence-based interventions (EBIs) among rural AI older adults. We used a community-based approach and an Indigenous-focused adaptation theoretical framework. Qualitative, semi-structured interviews elicited detailed information on preferences for PA intervention among rural AI older adults. We applied a collaborative directed content analysis strategy, and established trustworthiness and relevance using an inter-rater reliability process and member checking. We conducted 21 interviews, all participants identified as AI, the mean age was 66 years (SD = 7.6), and 57% were female. Themes characterized contextual and cultural intervention considerations for adapting and implementing evidence-based PA interventions in rural AI older adults. Key findings included an emphasis on social and community interaction, strategies for targeted engagement, preference for group format, pairing PA sessions with shared meals, and inclusiveness in the PA intervention across ability levels and age groups. This study identified opportunities for adaptation of PA-focused EBIs among rural AI older adults. Findings can be applied to support the adaptation and implementation of effective and relevant PA-focused preventive interventions among this population which is at high risk for chronic disease and health disparities.

American Indian (AI) older adults experience pronounced health disparities and demonstrate one of the lowest levels of physical activity (PA) among racial and ethnic groups. Nearly half of AI older adults live in rural areas, indicating distinct challenges to participation in PA. Research to identify factors influencing PA in this population is missing from the literature, yet is critical to informing culturally relevant PA intervention development and implementation. The purpose was to identify barriers to and facilitators of PA among rural AI older adults using the ecological model and qualitative methods. A community-based approach was used to conduct semi-structured interviews with rural AI older adults. Interview questions were based on a multi-level ecological model. Content analysis was performed, using an iterative coding process to identify findings. The mean age of participants (n = 21) was 66 years. Barriers to and facilitators of PA were identified across ecological model levels. Barriers included factors such as caregiving and community responsibilities, lack of acceptable areas for walking, and overall lack of community-level support for older adult health. Facilitators included a personal connection to the land and ancestors through PA, multigenerational participation, and supportive tribal policies. This study addressed a gap in the literature by identifying barriers to and facilitators of PA among rural AI older adults, which can inform PA intervention development. With barriers and facilitators identified by AI older adults themselves, the voices of those directly affected are uplifted to shape efforts toward addressing longstanding health disparities through relevant public health interventions.

Background. American Indian (AI) older adults experience pronounced health disparities and demonstrate among the lowest levels of physical activity (PA) of racial and ethnic groups. Nearly half of AI older adults live in rural areas, indicating distinct challenges to participation in PA. Research to identify factors influencing PA among this population is missing from the literature, yet is critical to inform culturally relevant PA intervention development and implementation. Purpose. To identify barriers and facilitators to PA among rural AI older adults using the ecological model and qualitative methods. Methods. A community-based approach was used to conduct semi-structured interviews with rural AI older adults. Interview questions were based on a multi-level ecological model. Content analysis was performed, using an iterative coding process to identify findings. Results. Participants’ (n=21) mean age was 66 years. Barriers and facilitators to PA were identified across ecological model levels. Barriers included factors such as caregiving and community responsibilities, lack of acceptable areas for walking, and overall lack of community-level support for older adult health. Facilitators included a personal connection to the land and ancestors through PA, multigenerational participation, and supportive tribal policies. Conclusion. This study addressed a critical gap in the literature by identifying barriers and facilitators among rural AI older adults, which can inform PA intervention development. In this way, their voices are uplifted to shape efforts addressing longstanding health disparities through relevant public health interventions.