Evidence map›Paper›PMID 41246068›Full record

ArticleFrontiers in public health2025

The impact of age-friendly communities on the quality of life of older adults based on structural equation modeling.

Ying Tang, Jie Xu, Jingyu Yu

Abstract read
In one paragraph

Article 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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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

3 authors.

Ying TangSchool of Management, Hefei University of Technology, Hefei, China.
Jie XuCollege of Civil Engineering, Hefei University of Technology, Hefei, China.
Jingyu YuCollege of Civil Engineering, Hefei University of Technology, Hefei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: With the aging of China's population deepening, the development of age-friendly communities (AFCs) is playing an important role in alleviating the pressure of older adult care and enhancing the quality of life (QoL) of older adults. This paper aims to investigate the complicated impact of AFCs on the QoL of older adults through a questionnaire survey. Methods: A questionnaire survey was designed to explore the intricate relationships between components of AFCs and QoL factors from older adults' perspective. A total of 1,396 older adults completed the survey. Factor analysis was used to identify AFC components and QoL factors, and the relationships between AFC components and QoL factors were predicted using structural equation modeling (SEM). Results: Four AFC components and three QoL factors for older adults were identified. The SEM results revealed that (1) physical health was mainly positively influenced by green spaces and negatively affected by public healthcare services; (2) apart from public transportation, most AFC components were indicative of psychological health; and (3) social networks were primarily influenced by green spaces and community support. Conclusion: To provide a better living environment for older adults, it is suggested that communities renovate existing structures to expand green spaces, add accessible facilities, and increase greenery. Communities should also enhance social environments by improving healthcare services, ensuring accessible medical care, and organizing cultural and recreational activities to promote older adults' social participation and improve their QoL.

Indexed as

Quality of LifeResidence CharacteristicsAgedAged, 80 and overChinaFemaleHumansLatent Class AnalysisMaleMiddle AgedSurveys and Questionnairesage-friendly communityhealthcareolder adultsquality of lifestructural equation modeling

Identifiers

PMID41246068
PMCPMC12613276

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.