ReviewThe Lancet regional health. Western Pacific2025
Sustainable age-friendly cities and communities in China: a scoping review and narrative assessment of national policies.
Review in The Lancet regional health. Western Pacific, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Protecting High-Vulnerability Elderly in Climate Emergencies: Lessons from Beijing's 2025 Floods.Environment & health (Washington, D.C.) · 2026Article
- Assessing the restorative environment of pocket parks in old urban districts of Chinese cities in the context of healthy aging.Frontiers in public health · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
Background: Climate change, aging populations, and rapid urbanization intersect to pose public health challenges in China, impacting the livelihoods of older adults. This review maps China's national policies shaping Sustainable Age-Friendly Cities and Communities (AFCC), highlights supporting sub-national innovations, and identifies potential policy gaps and opportunities. Methods: We searched 26 national government websites for policy documents published from January 1, 2020, to December 20, 2024, screening 35,809 records and including 125 that met criteria. Findings: National frameworks (National Strategy for Climate Change Adaptation 2035, Healthy China 2030, Healthy Cities) have parallel efforts linking climate resilience and healthy aging. However, policy domains are siloed: age-friendly policies focus on healthcare accessibility, whereas sustainability policies target ecological restoration. Sub-national innovations, such as 15-min life circles, sponge cities for flood, "one old, one young" inter-generational hubs, advance climate adaptation. The large-scale Three-North Shelter Forest Program indirectly benefits older adults respiratory risk by controlling dust and desertification. However, these initiatives run in parallel, with limited shared targets, data systems, and co-financing. Institutional fragmentation and regional disparities in geographic, economic, and administrative capacities impede uniform implementation, risking inefficient spending and missed synergies. Interpretation: Effective action on concurrent aging and climate risks hinges on policy-and-practice integration of AFCC and sustainability agendas. Age-friendly plans should include sustainability and vice versa. China's administrative grid and large-scale ecological programs provide infrastructure for delivery of dual-benefits. Funding: This work is supported by the World Health Organization (WPRO/2024-02/AGE-DHP/22552 4), the National Natural Science Foundation of China (82422064, 82250610230, 42307535, 42577488), the Natural Science Foundation of Beijing (IS23105), and the National Bureau for Disease Control and Prevention (20241660047).
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.