Evidence map›Paper›PMID 39164681›Full record

ArticleBMC public health2024

Building running-friendly cities: effects of streetscapes on running using 9.73 million fitness tracker data in Shanghai, China.

Huagui Guo, Shuyu Zhang, Yufei Liu, Runrong Lin, Jiang Liu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  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

5 authors.

Huagui GuoSchool of Architecture and Urban-rural Planning, Fuzhou University, Fuzhou, 350108, China.
Shuyu ZhangSchool of Architecture and Urban-rural Planning, Fuzhou University, Fuzhou, 350108, China.
Yufei LiuSchool of Architecture and Urban-rural Planning, Fujian University of Technology, Fuzhou, 350118, China.
Runrong LinSchool of Architecture and Urban-rural Planning, Fuzhou University, Fuzhou, 350108, China.
Jiang LiuSchool of Architecture and Urban-rural Planning, Fuzhou University, Fuzhou, 350108, China. jiang.liu@fzu.edu.cn.

Funding

General Project of Ministry of Education Foundation on Humanities and Social Sciences 23YJCZH061National Natural Science Foundation of China 52308055National Natural Science Foundation of China 52378049Social Science Foundation of Fujian Province FJ2023C084the Start-up Foundation of Fuzhou University 511034
6 · The paper itself

Abstract

The association between built environment and physical activity has been recognized. However, how and to what extent microscale streetscapes are related to running activity remains underexplored, partly due to the lack of running data in large urban areas. Moreover, few studies have examined the interactive effects of macroscale built environment and microscale streetscapes. This study examines the main and interactive effects of the two-level environments on running intensity, using 9.73 million fitness tracker data from Keep in Shanghai, China. Results of spatial error model showed that: 1) the explanatory power of microscale streetscapes was higher than that of macroscale built environment with R

Indexed as

Built EnvironmentCitiesRunningAdultChinaEnvironment DesignFemaleHumansMaleMiddle AgedYoung AdultBuilt environmentDeep learningRunning activityStreet view images

Identifiers

PMID39164681
PMCPMC11334487

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

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.