Evidence map›Paper›PMID 41584188›Full record

SynthesisFrontiers in public health2025

Comparing age-friendly city and community policies from China and the world: a systematic review.

Chendi Zhang, Anastasia Loukaitou-Sideris

Abstract readSystematic ReviewComparative Study
In one paragraph

Synthesis in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Chendi ZhangUrban Planning, Luskin School of Public Affairs, University of California, Los Angeles, Los Angeles, CA, United States.
Anastasia Loukaitou-SiderisUrban Planning, Luskin School of Public Affairs, University of California, Los Angeles, Los Angeles, CA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Population aging is a growing global policy and health challenge. The World Health Organization's Age-Friendly Cities and Communities (AFCCs) framework has guided efforts to create supportive environments for older adults. Methods: This study conducts a systematic review of AFCC literature and policies in China and global contexts. The goal is to examine how China-a developing country with the world's largest older population and unique challenges from rapid urbanization-compares to other global contexts in its response to aging. Results and discussion: The review reveals key differences of AFCC policies between China and other global regions, which include varying priorities in mobility, employment, and education policies; divergent implementation approaches; broad visions versus specific standards. Some of the differences in context-specific issues are tied to different urbanization phases. On the other hand, shared challenges include financial issues that constrain policy implementation, social exclusion, health disparities, environmental hazards and technological gaps faced by older adults, and limited policy attention to rural and suburban areas. Future directions include integrating AFCC policies into broader financial, public health, and urban agendas; supporting aging-in-place policies; developing culturally responsive strategies; addressing rural and suburban needs; incorporating technology; bridging policy and practice through implementation and monitoring; fostering participatory design of age-friendly spaces; advancing experimental research; and promoting cross-national knowledge exchanges.

Indexed as

AgingPublic PolicyAging in PlaceChinaCitiesHumansUrbanizationAge-Friendly Cities and Communitiesage-friendly policiesChinaolder adultsurban planning

Identifiers

PMID41584188
PMCPMC12827672

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.