Community research platforms for healthy aging: Lessons from the National Center for Geriatrics and Gerontology–Study of Geriatric Syndromes

Abstract

Population aging is reshaping healthcare and social systems worldwide. Japan, which is one of the earliest countries to have a super-aged society, offers an important setting for developing and evaluating responses. Many conventional community-based cohorts were designed primarily to identify risk factors and describe disease trajectories; super-aged societies also require research infrastructures that can develop preventive interventions, evaluate them under real-world conditions, and inform policy. This review proposes the community research platform, defined as an adaptive infrastructure integrating multidomain assessment, sustainable longitudinal outcome surveillance, intervention development, implementation in community practice, and continuous evaluation. We use the National Center for Geriatrics and Gerontology–Study of Geriatric Syndromes (NCGG-SGS), established in 2011 and subsequently expanded through partnerships with eight municipalities, with 94,617 unique individuals aged 60 years or older registered in the database as of June 2025, as an illustrative case. Its core components include standardized assessment of physical, cognitive, psychological, social, behavioral, and mobility domains; implementation-oriented tools, including the NCGG Functional Assessment Tool and its smartphone-based version; linkage with long-term care and health insurance databases; and preventive interventions designed for different implementation contexts. Cognicise, a dual-task program combining moderate-intensity aerobic exercise with cognitive tasks, illustrates a translational pathway from intervention development and randomized trials in older adults with mild cognitive impairment to municipal long-term care prevention services and subsequent multidomain dementia-prevention trials. Drawing on this experience and relevant international frameworks, we propose design principles for next-generation platforms. The value of community research lies not only in accumulating longitudinal data but also in enabling research systems and communities to learn, adapt, and improve together.