Evidence map›Paper›PMID 42388775›Full record

ArticleFrontiers in public health2026

More trees, more naturalness, and greater willingness to engage in physical activity: an image-based study.

Yanxia Zhao, Li Huang, Haodong Tian, Yunfei Tao, Zhiyuan Tan, Hengzhi Deng, Zhengyang Mei, Lunxin Chen, Xing Zhang, Hansen Li

Abstract read
In one paragraph

Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Yanxia ZhaoCollege of Physical Education, Chongqing University, Chongqing, China.
Li HuangFaculty of Psychology, Southwest University, Chongqing, China.
Haodong TianCollege of Physical Education, Southwest University, Chongqing, China.
Yunfei TaoSchool of Sport Training, Chengdu Sport University, Chengdu, Sichuan, China.
Zhiyuan TanFaculty of Sport and Physical Education, University of Belgrade, Belgrade, Serbia.
Hengzhi DengFaculty of Sports and Exercise Science, University of Malaya, Kuala Lumpur, Malaysia.
Zhengyang MeiCollege of Physical Education, Southwest University, Chongqing, China.
Lunxin ChenSchool of Physical Education and Sports, Central China Normal University, Wuhan, China.
Xing ZhangDepartment of Physical Education and Sport, Faculty of Sport Sciences, University of Granada, Granada, Spain.
Hansen LiSchool of Physical Education, Sichuan Agricultural University, Ya'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Urban green spaces may promote health partly by encouraging physical activity, but it remains unclear which visible vegetation elements most strongly shape perceived naturalness and activity-related responses. This image-based study examined whether visible vegetation, particularly visible tree proportion, was associated with perceived naturalness and willingness to engage in physical activity in urban environments. Methods: An online image-based questionnaire was conducted among 337 university students in Ya'an, China. Participants evaluated 40 photographs of typical urban streets and open spaces in Yucheng District. A DeepLabv3 semantic segmentation model pretrained on the ADE20K dataset was used to quantify the pixel proportions of three vegetation-related labels: Tree, Grass, and Other plant. Participants rated perceived naturalness on a 4-point scale and willingness to engage in physical activity on an 11-point scale. Analyses included image-level Pearson correlations, generalized estimating equations, receiver operating characteristic analysis, mediation analysis, and image-level sensitivity analyses. Results: Perceived naturalness was strongly correlated with physical activity willingness ( Discussion: Visible vegetation, especially visible tree proportion, may contribute to stronger perceived naturalness and greater willingness to be physically active in urban spaces. These findings highlight the potential importance of visible trees in urban greening and active-living design. However, because this study used static images and measured willingness rather than actual behavior, the results should be interpreted as preliminary evidence concerning environmental perception and activity tendency.

Indexed as

Environment DesignExerciseTreesAdultChinaFemaleHumansMaleStudentsSurveys and QuestionnairesYoung Adultactive livingcitygreen exercisehealthnaturephysical activity

Identifiers

PMID42388775
PMCPMC13319080

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.