Evidence map›Paper›PMID 39255029›Full record

ArticleJMIR mHealth and uHealth2024

The Impact of Air Pollution Information on Individuals' Exercise Behavior: Empirical Study Using Wearable and Mobile Devices Data.

Yang Yang, Khim-Yong Goh, Hock Hai Teo, Sharon Swee-Lin Tan

Abstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

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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

4 authors.

Yang YangSchool of Business and Management, Royal Holloway, University of London, Egham, United Kingdom.ORCID 0000-0001-6074-3293
Khim-Yong GohSchool of Computing, National University of Singapore, Singapore, Singapore.ORCID 0000-0002-9291-2386
Hock Hai TeoSchool of Computing, National University of Singapore, Singapore, Singapore.ORCID 0000-0003-2463-7842
Sharon Swee-Lin TanSchool of Computing, National University of Singapore, Singapore, Singapore.ORCID 0000-0001-5164-2749

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPhysical exercise and exposure to air pollution have counteracting effects on individuals' health outcomes. Knowledge on individuals' real-time exercise behavior response to different pollution information sources remains inadequate.

objectiveThis study aims to examine the extent to which individuals avoid polluted air during exercise activities in response to different air pollution information sources.

methodsWe used data on individuals' exercise behaviors captured by wearable and mobile devices in 83 Chinese cities over a 2-year time span. In our data set, 35.99% (5896/16,379) of individuals were female and 64% (10,483/16,379) were male, and their ages predominantly ranged from 18 to 50 years. We further augmented the exercise behavior data with air pollution information that included city-hourly level measures of the Air Quality Index and particulate matter 2.5 concentration (in µg/m

resultsOur results show that individuals exhibit a reduction of running exercise behaviors by about 0.50 km (or 7.5%; P<.001) during instances of moderate to severe air pollution, and there is no evidence of reduced distances in instances of light air pollution. Furthermore, individuals' exercise-aversion behaviors in response to mainstream air pollution information are heightened by different alternative information sources, such as social connections and social media user-generated content about air pollution.

conclusionsOur results highlight the complementary role of different alternative information sources of air pollution in inducing individuals' aversion behaviors and the importance of using different information channels to increase public awareness beyond official air pollution alerts.

Indexed as

Air PollutionExerciseWearable Electronic DevicesAdolescentAdultChinaFemaleHumansMaleMiddle Agedair pollutioneconometric analysisexercise activityinformation sourceswearable and mobile devices

Identifiers

PMID39255029
PMCPMC11422738

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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.