Evidence map›Paper›PMID 34444444›Full record

ArticleInternational journal of environmental research and public health2021

Effects and Environmental Features of Mountainous Urban Greenways (MUGs) on Physical Activity.

Ming Ma, Liang Ding, Huaiyun Kou, Shaohua Tan, Hao Long

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. 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
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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

5 authors.

Ming MaSchool of Architecture and Urban Planning, Chongqing University, Chongqing 400030, China.ORCID 0000-0002-2408-8612
Liang DingSchool of Architecture and Design, Zhejiang University of Technology, Hangzhou 310023, China.
Huaiyun KouCollege of Architecture and Urban Planning, Tongji University, Shanghai 200092, China.ORCID 0000-0003-4249-016X
Shaohua TanSchool of Architecture and Urban Planning, Chongqing University, Chongqing 400030, China.
Hao LongSchool of Architecture and Urban Planning, Chongqing University, Chongqing 400030, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The role played by urban greenways in supporting physical activity (PA) for public health benefits has been receiving increasing attention. Most studies on this topic have been conducted in plains, whereas studies in mountainous regions have been limited as a result of the complexity of these areas. To address this knowledge gap, this article aims to analyze the effects of the environmental features for a mountainous urban greenway (MUG) on PA, leading to better support for greenway practice in mountainous areas. A volunteered geographic information (VGI) method was applied through the mobile app KEEP to collect 1314 valid records of PA including its density (total PA distance per unit area within the buffer zone) and attributes (distance, duration and speed) in the Yuzhong Peninsula, Chongqing, China. Similar to those of the studies conducted in the plains, our results showed that PA density was affected by the MUG and its surrounding environment. The key environmental features included residential density, open-space POI, the slope, the transportation-MUG (T-MUG) ratio and the recreational-MUG (R-MUG) ratio. For the PA attributes, the MUG showed stronger effects than the surrounding environment. The key environmental features included the slope and type of MUG, of which the former was negatively associated with distance and speed. The T-MUG ratio was positively related to duration and speed, while the R-MUG ratio was positively related to duration and distance. No association was found between livelihood (L-MUG) and PA. Hence, to support both the PA density and attributes, the environmental qualities for recreation and the types of R-MUGs should be given more consideration in practice.

Indexed as

ExerciseTransportationChinaCross-Sectional StudiesEnvironment DesignResidence Characteristicsenvironmental featuremountainous urban greenwayphysical activityplanning and design

Identifiers

PMID34444444
PMCPMC8391243

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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.