Evidence map›Paper›PMID 39295761›Full record

ArticleFrontiers in psychology2024

Campus landscape types and pro-social behavioral mediators in the psychological recovery of college students.

Yi Xu, Tingting Wang, Jinsong Wang, Hongtao Tian, Ruixin Zhang, Yixuan Chen, Hong Chen

Abstract read
In one paragraph

Article in Frontiers in psychology, 2024. 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

7 authors.

Yi XuSchool of Art, Anhui University, Hefei, China.
Tingting WangSchool of Art, Anhui University, Hefei, China.
Jinsong WangSchool of Art, Anhui University, Hefei, China.
Hongtao TianSchool of Art, Anhui University, Hefei, China.
Ruixin ZhangSchool of Art, Anhui University, Hefei, China.
Yixuan ChenSchool of Art, Anhui University, Hefei, China.
Hong ChenSchool of Art, Anhui University, Hefei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Physical and mental health problems of college students are becoming more prominent, and contact with nature has a positive effect on physical and mental health. This paper investigates the psychological recovery effect of different types of campus green space landscape on college students. From the perspective of college students' perception of campus landscape types, the green space, blue space, gray space and movement space of three universities in Anhui Province are investigated. Methods: Through choose campus landscape types and questionnaires, structural equation modeling (SEM) and mediation modeling were constructed on the role of college students' perception of campus landscape types on psychological recovery. Results: It was found that the level of landscape type perception had a significant effect on the effect of psychological recovery and the generation of pro-social behavior, with no significant gender difference, while psychological recovery also had a positive effect on the generation of pro-social behavior. The study also found that campus landscape type not only directly affect students psychological recovery, but also promote psychological recovery through the mediating role of pro-social behavior. Discussion: The study reveals the effects of campus landscape type on college students' psychological recovery, and pro vides a basis for planning campus of different types.

Indexed as

campus landscape typesmediating rolesperception restorativepro-social behaviorpsychological recovery

Identifiers

PMID39295761
PMCPMC11408199

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.