Evidence map›Paper›PMID 40552226›Full record

ArticleFrontiers in public health2025

Impact of green infrastructure in smart older adult care communities on the health of the older adult and the exploration of optimization paths.

Zhuang Wang, Lianping Gao, Peijuan Song

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. Review
  3. 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

3 authors.

Zhuang WangJournalism and Communications College, Jilin Normal University, Changchun, Jilin, China.
Lianping GaoCollege of Art and Design, Changchun Guanghua University, Changchun, Jilin, China.
Peijuan SongCollege of Art and Design, Changchun Guanghua University, Changchun, Jilin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: This study explores the multidimensional impacts of green infrastructure (GI) within smart older adult care communities on the physical health, psychological wellbeing, and social interactions of older adults. It further investigates optimization strategies for GI design to support healthy aging policies and enhance urban resilience. Methods: Using longitudinal panel data from the China Health and Retirement Longitudinal Study (CHARLS, 2012-2020), the study applies panel regression models to examine the association between GI coverage and various health outcomes among older adults. Heterogeneity analysis assesses demographic-specific effects, and structural equation modeling (SEM) evaluates the mediating pathways through which GI influences public health. Results: Regression results indicate that increased GI coverage significantly reduces the incidence of chronic and acute diseases (-0.34 Discussion: The findings underscore the critical role of GI as a public health intervention in smart older adult care communities. By integrating environmental health mechanisms with smart technologies, the study offers actionable recommendations for optimizing GI design-such as improving spatial equity, connectivity, and microclimate resilience. These insights contribute to the development of age-friendly urban planning frameworks and enhanced pandemic preparedness strategies. The study advocates for policies prioritizing high-quality, accessible green spaces to promote health, advance social equity, and address climate adaptation challenges.

Indexed as

Health StatusAgedAged, 80 and overChinaCOVID-19FemaleHumansLongitudinal StudiesMalegreen infrastructureinfluencing factorsolder adult healthpath optimizationsmart older adult care community

Identifiers

PMID40552226
PMCPMC12183187

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.