Measurement Indicators of Age-Friendly Communities: Findings from the AARP Age-Friendly Community Survey.

BACKGROUND AND OBJECTIVES Cities and counties worldwide have adopted the concept of "age-friendly communities." These communities aspire to promote older adults' well-being by providing a safe, affordable built environment and a social environment that encourages their participation. A major limitation in this field is the lack of valid and reliable measures that capture the complex dimensionality and dynamic nature of the aging-environment interface. RESEARCH DESIGN AND METHODS This study uses data from the AARP 2016 Age-Friendly Community Surveys (N=3,652 adults ages 65 and older). The survey includes 62 indicators of age-friendliness, e g., outdoor spaces, transportation, housing, social participation, and community and health services. We randomly split the sample into two equal subsamples for confirmatory factor analysis (CFA) and structural equation modeling (SEM). RESULTS CFA results indicated that both the five-factor model and the second-order factor model adequately fit the data. In the SEM five-factor model, outdoor space (β=.134; p=.017), social participation (β=.307; p<.001), and community and health services (β=-.149; p=.008) were associated with self-rated health, the outcome of interest. The path coefficients of housing and transportation were not significant. In the second-order factor model, people who lived in more age-friendly communities reported better self-rated health (β=.295; p<.001). DISCUSSION AND IMPLICATIONS Our findings show that the Age-Friendly Community Survey measures demonstrate reliability and concurrent validity. To promote older adults' well-being, practitioners, policymakers, and researchers should focus on improving their built and social environments. They can use these measures for short- and long-term planning, monitoring, and evaluating age-friendly community initiatives.