Evidence map›Paper›PMID 37803038›Full record

ArticleScientific reports2023

The difference in the elderly's visual impact assessment of pocket park landscape.

Xinyu Wang, Guanjun Li, Jingyin Pan, Jiamin Shen, Chenping Han

Abstract read
In one paragraph

Article in Scientific reports, 2023. 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

5 authors.

Xinyu WangChina University of Mining and Technology, No. 1, Daxue Road, Xuzhou City, Jiangsu Province, China.
Guanjun LiChina University of Mining and Technology, No. 1, Daxue Road, Xuzhou City, Jiangsu Province, China.
Jingyin PanChina University of Mining and Technology, No. 1, Daxue Road, Xuzhou City, Jiangsu Province, China.
Jiamin ShenChina University of Mining and Technology, No. 1, Daxue Road, Xuzhou City, Jiangsu Province, China.
Chenping HanChina University of Mining and Technology, No. 1, Daxue Road, Xuzhou City, Jiangsu Province, China. hanchenping@cumt.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As an important part of urban public open space, pocket parks have become an important activity place for the elderly in the context of the aging society in China. With the pocket parks in Nanjing, Jiangsu province, China as research object, this paper set six landscape features to be studied, namely, Height of trees, Green color richness, Stratification of green landscapes, Green space ratio, Leisure facilities, and Water landscape. The elderly respondents with different demographic characteristics, such as age, gender, education level and residential type, were subjected to the picture stimulation experiment whose results were then statistically analyzed. The results indicate that gender and residential type exert certain influence on the elderly's visual impact assessment of pocket park landscape. To be specific, the male elderly prefer the pocket park landscape with 3-6 m high trees, medium green space ratio, and more leisure facilities; the female elderly are in greater favor of pocket park landscapes with 0-3 m high trees, five or more colors, three or more layers; the elderly who live with their families prefer pocket park landscapes with medium green space ratio and more leisure facilities; to the elderly who live alone, pocket park landscapes with trees which are 0-3 m high, five or more colors, and medium leisure facilities are more attractive. This study can provide valuable reference for pocket park design in China.

Indexed as

Leisure ActivitiesPublic FacilitiesAgedChinaCitiesEnvironmentHumansParks, Recreational

Identifiers

PMID37803038
PMCPMC10558517

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.