Stanford Prevention Research Center, Stanford University, Stanford, CA 94305, USA.
School of Public and Community Health Sciences, University of Montana, Missoula, MT 59812, USA.
Transl Behav Med. 2021 Sep 15;11(9):1655-1664. doi: 10.1093/tbm/ibab107.
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.
美国印第安人(AI)老年人存在明显的健康差距,其身体活动(PA)水平在种族和族裔群体中是最低的之一。近一半的 AI 老年人居住在农村地区,这表明他们在参与 PA 方面面临着明显的挑战。在这一人群中,针对影响 PA 的因素进行研究在文献中是缺失的,但对于告知具有文化相关性的 PA 干预措施的制定和实施是至关重要的。本研究旨在使用生态模型和定性方法,确定农村 AI 老年人 PA 的障碍和促进因素。采用社区为基础的方法对农村 AI 老年人进行半结构化访谈。访谈问题基于多层次生态模型。使用迭代编码过程进行内容分析,以确定研究结果。参与者的平均年龄(n = 21)为 66 岁。在生态模型的各个层面上都确定了 PA 的障碍和促进因素。障碍包括照顾和社区责任、缺乏可接受的步行区域以及社区层面缺乏对老年人健康的整体支持等因素。促进因素包括通过 PA 与土地和祖先建立个人联系、多代参与以及支持性的部落政策。本研究通过确定农村 AI 老年人 PA 的障碍和促进因素,填补了文献中的空白,为 PA 干预措施的制定提供了信息。通过 AI 老年人自己确定的障碍和促进因素,直接受影响者的声音得到了提升,以通过相关的公共卫生干预措施来解决长期存在的健康差距。