Evidence map›Paper›PMID 40417027›Full record

ArticleFrontiers in psychology2025

Connecting urban green and blue spaces with children' health: a bibliometric analysis in CiteSpace and VOSviewer.

Yutong Kang, Zhengbing Guo

Abstract read
In one paragraph

Article in Frontiers in psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Yutong KangXi'an Innovation College of Yan'an University, Xi'an, China.
Zhengbing GuoSchool of Public Policy and Administration, Xi'an Jiaotong University, Xi'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Rapid urbanization has increasingly restricted children's access to natural environments, raising concerns about potential consequences for their physical, mental, and social well-being. Urban green and blue spaces are known to offer significant health benefits, including physical activity promotion, psychological restoration, and social development. Methods: This study conducted a comprehensive bibliometric analysis to examine the relationship between urban green/blue spaces and children's health. A total of 575 relevant publications from 1981 to 2024 were retrieved from the Web of Science database. CiteSpace and VOSviewer were used for keyword co-occurrence analysis, co-citation mapping, and burst detection to visualize research trends and thematic evolution. Results: Three major research phases were identified: (1) early focus on physical health outcomes, (2) a shift toward urban environmental contexts, and (3) emerging emphasis on sustainability, environmental quality, and walkability. While green spaces have been extensively studied, blue spaces remain underrepresented, especially in terms of their synergistic benefits when combined with green spaces. Key research themes include mental and physical health impacts, social skills development, and the educational functions of nature exposure. Discussion: This study reveals the interdisciplinary and collaborative nature of current research and emphasizes the importance of ensuring equitable access to high-quality natural environments in urban areas. The findings offer practical implications for urban planners and policymakers and establish a research foundation for promoting sustainable urban development that supports children's health and well-being.

Indexed as

children’s healthCiteSpaceurban blue spaceurban green spaceVOSviewer

Identifiers

PMID40417027
PMCPMC12098554

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.