Evidence map›Paper›PMID 35570926›Full record

ArticleFrontiers in public health2022

Crowdsourced Data for Physical Activity-Built Environment Research: Applying Strava Data in Chengdu, China.

Linchuan Yang, Bingjie Yu, Pengpeng Liang, Xianglong Tang, Ji Li

Abstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  5. Runnability: A Scoping Review.International journal of environmental research and public health · 2025
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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.

Linchuan YangSchool of Architecture, Southwest Jiaotong University, Chengdu, China.
Bingjie YuSchool of Architecture, Southwest Jiaotong University, Chengdu, China.
Pengpeng LiangSchool of Architecture, Southwest Jiaotong University, Chengdu, China.
Xianglong TangSchool of Architecture, Southwest Jiaotong University, Chengdu, China.
Ji LiSchool of Architecture, Southwest Jiaotong University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The lack of physical activity has become a rigorous challenge for many countries, and the relationship between physical activity and the built environment has become a hot research topic in recent decades. This study uses the Strava Heatmap (novel crowdsourced data) to extract the distribution of cycling and running tracks in central Chengdu in December 2021 (during the COVID-19 pandemic) and develops spatial regression models for numerous 500 × 500 m grids (

Indexed as

COVID-19CrowdsourcingBuilt EnvironmentChinaEnvironment DesignExerciseHumansPandemicsChengducyclinghealthphysical activityphysical environmentrunningspatial inequalityStrava

Identifiers

PMID35570926
PMCPMC9101655

What OpenQuestion holds

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LicenceCC BY
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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.