Evidence map›Paper›PMID 32230999›Full record

ArticleInternational journal of environmental research and public health2020

Understanding Different Types of Recreational Runners and How They Use Running-Related Technology.

Mark Janssen, Ruben Walravens, Erik Thibaut, Jeroen Scheerder, Aarnout Brombacher, Steven Vos

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

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  17. Training Habits and Injury Rate in Masters Female Runners.International journal of sports physical therapy · 2022
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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

6 authors.

Mark JanssenDepartment of Industrial Design, Eindhoven University of Technology, 5612 AZ Eindhoven, The Netherlands.ORCID 0000-0002-4151-6906
Ruben WalravensSchool of Sport Studies, Fontys University of Applied Science, 5612 AR Eindhoven, The Netherlands.
Erik ThibautPolicy in Sports & Physical Activity Research Group, University of Leuven, 3000 Leuven, Belgium.
Jeroen ScheerderPolicy in Sports & Physical Activity Research Group, University of Leuven, 3000 Leuven, Belgium.
Aarnout BrombacherDepartment of Industrial Design, Eindhoven University of Technology, 5612 AZ Eindhoven, The Netherlands.
Steven VosDepartment of Industrial Design, Eindhoven University of Technology, 5612 AZ Eindhoven, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims to help professionals in the field of running and running-related technology (i.e., sports watches and smartphone applications) to address the needs of runners. It investigates the various runner types-in terms of their attitudes, interests, and opinions (AIOs) with regard to running-and studies how they differ in the technology they use. Data used in this study were drawn from the standardized online Eindhoven Running Survey 2016 (ERS2016). In total, 3723 participants completed the questionnaire. Principal component analysis and cluster analysis were used to identify the different running types, and crosstabs obtained insights into the use of technology between different typologies. Based on the AIOs, four distinct runner types were identified: casual individual, social competitive, individual competitive, and devoted runners. Subsequently, we related the types to their use of sports watches and apps. Our results show a difference in the kinds of technology used by different runner types. Differentiation between types of runners can be useful for health professionals, policymakers involved in public health, engineers, and trainers or coaches to adapt their services to specific segments, in order to make use of the full potential of running-related systems to support runners to stay active and injury-free and contribute to a healthy lifestyle.

Indexed as

Fitness TrackersMobile ApplicationsRunningAdultAttitudeFemaleHumansMaleMiddle AgedSmartphoneSurveys and Questionnairesattitudesclustersinterestmobile applicationsrecreational runningrunning-related technologysports watchestypologywearable

Identifiers

PMID32230999
PMCPMC7177805

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.