Understanding age-friendly communities
Five global typologies of older adults
Bibliographic Data
Over the past two decades, the World Health Organization has led the movement to transform cities into age-friendly environments, aiming to improve health, participation, and security for older adults. Despite these efforts, the measurement of age-friendliness at a global level remains a challenge. The Age-Friendly Cities and Communities Questionnaire (AFCCQ) is a significant tool in this regard, providing a quantitative approach to assess cities’ age-friendliness across different countries. In this study, researchers used the AFCCQ to conduct a multi-country analysis, identifying five distinct typologies of older adults based on their experiences in eight countries. Here we show that these typologies offer a nuanced understanding of age-friendliness that transcends national boundaries. These findings contribute to the global effort to create more inclusive urban environments, guiding policymakers to design targeted interventions to enhance the quality of life for older populations
Global South · Psychological intervention · Quality (philosophy) · Quality of life (healthcare) · Typology · Health disparities and outcomes · Migration, Aging, and Tourism Studies · Technology Use by Older Adults
Cross-Cultural Analysis
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Do Not Cross Me
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A Two-Stage Clustering Algorithm with Robust Recovery Characteristics
A Monte Carlo Study of the Recovery of Cluster Structure in Binary Data by Hierarchical Clustering Techniques
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Psychometric properties of the Arabic version of the Age-Friendly Cities and Communities Questionnaire (AFCCQ-Arabic)
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Perceptions of Neighborhood Environment, Sense of Community, and Self-Rated Health
Towards Global Age-Friendly Cities
Urban Pauperization under China’s Social Exclusion
How older people experience the age-friendliness of The Hague
Validating the age-friendly cities and communities questionnaire in Australia
Unveiling the experienced age-friendliness of older people in Bucharest
The experienced age-friendliness in two Polish cities
Getting Older People’s Voices Heard
Beyond the metrics
A multi-year quantitative study of the experienced age-friendliness in The Hague
Mixture model tests of cluster analysis
| Citations per year | 1 |
|---|---|
| Citation span | 2026 - 2026 (1) |
| Highly cited | No |