Evidence map›Paper›PMID 38779005›Full record

ArticleHeliyon2024

The influence of community park characteristics on satisfaction in Guangzhou: Moderating and mediating effects analysis.

Jia Xin Xiao, Jieying Liao, Bi Zhao, YiLan Long, Xuan Xu, XinYi Liang, Tiansheng Xia

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Heliyon, 2024. 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

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

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

7 authors.

Jia Xin XiaoSchool of Art and Design, Guangdong University of Technology, Guangzhou, 510090, China.
Jieying LiaoSchool of Art and Design, Guangdong University of Technology, Guangzhou, 510090, China.
Bi ZhaoSchool of Art and Design, Guangdong University of Technology, Guangzhou, 510090, China.
YiLan LongSchool of Art and Design, Guangdong University of Technology, Guangzhou, 510090, China.
Xuan XuSchool of Art and Design, Guangdong University of Technology, Guangzhou, 510090, China.
XinYi LiangSchool of Art and Design, Guangdong University of Technology, Guangzhou, 510090, China.
Tiansheng XiaSchool of Art and Design, Guangdong University of Technology, Guangzhou, 510090, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Community parks in old urban areas have problems such as outdated facilities and low quality, which inhibit the development of healthy aging. However, limited research has examined the correlation between such park characteristics and park satisfaction among elderly individuals. Additionally, the mechanisms underlying this association remain unclear. In this investigation, a moderated mediation framework grounded in self-determination theory was formulated to probe the interplay between these variables, with a specific focus on the mediating influence of social self-efficacy among the elderly and the moderating effect of use intention. A questionnaire survey (N = 319) was conducted in Shamian Park, Guangzhou, employing structural equation modeling for data analysis. Findings indicate that, even after controlling for demographic factors, park characteristics not only exert a direct influence on satisfaction but also exhibit an indirect impact through the mediation of social self-efficacy, with both pathways being moderated by use intention. This study has implications for how to improve the design of community parks in old urban areas in developing countries to better meet the basic needs of the elderly and promote healthy aging.

Indexed as

Older adultsPark characteristicsPark satisfactionSelf-determination theorySocial self-efficacyUse intention

Identifiers

PMID38779005
PMCPMC11108996

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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.