Rhubart Danielle, Henly Megan, Guest M Aaron, Henning-Smith Carrie, Powell Mary Anne
Department of Biobehavioral Health, The Pennsylvania State University, Penn State University, 414 Biobehavioral Health Building, University Park, PA 16802, United States.
Institute on Disability, University of New Hampshire, 10 West Edge Drive, Suite 101, Durham, NH 03824 United States.
Aging Health Res. 2024 Jun;4(2). doi: 10.1016/j.ahr.2024.100186. Epub 2024 Mar 15.
Growing evidence shows a relationship between social infrastructure (SI) - the physical places where people gather outside of home and work - and health. However, existing data sources for rigorously investigating this relationship are limited, especially for rural areas. Therefore, we conducted an environmental scan of existing data for furthering research on this topic, with a focus on the rural United States (U.S.). A total of 10 datasets met inclusion criteria. Key information was collated from websites and reviewed by data administrators. We summarize key features of these datasets, including available measures of geography/rurality, SI availability and utilization, and physical, mental and social health. We describe analytic strengths and weaknesses of the available data, which is essential for researchers to be able to assess their data options. While the scan focuses on U.S.-based data, the key points will be applicable more broadly, including a need for more data on availability and use of social infrastructure combined with geographic indicators.
越来越多的证据表明,社会基础设施(SI)——人们在家庭和工作场所以外聚集的实际场所——与健康之间存在关联。然而,用于严格调查这种关系的现有数据源有限,尤其是在农村地区。因此,我们对现有数据进行了一次环境扫描,以推动对这一主题的研究,重点关注美国农村地区。共有10个数据集符合纳入标准。关键信息从网站上整理出来,并由数据管理员进行审核。我们总结了这些数据集的关键特征,包括地理/农村性、社会基础设施的可用性和利用率以及身体、心理和社会健康的可用指标。我们描述了现有数据的分析优势和劣势,这对于研究人员能够评估他们的数据选项至关重要。虽然此次扫描聚焦于美国的数据,但关键点将更广泛适用,包括需要更多关于社会基础设施可用性和使用情况以及地理指标的数据。