Evidence map›Paper›PMID 42221654›Full record

ArticleFrontiers in public health2026

Attitudes toward smart sports technologies and artificial intelligence: an examination from cognitive, affective and behavioral dimensions.

Irfan Kara, Yunus Sahinler, Mustafa Can Koc, Mustafa Yasar Sahin, Kenan Sebin, Laurentiu-Gabriel Talaghir, Teodora Mihaela Iconomescu, Liliana Nanu, Ștefan Cristian Liușnea, Gabriel Marian Manolache

Abstract read
In one paragraph

Article in Frontiers in public health, 2026. 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

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

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

10 authors.

Irfan KaraFaculty of Sports Sciences, Istanbul Gelisim University, Istanbul, Türkiye.
Yunus SahinlerFaculty of Sports Sciences, Istanbul Gelisim University, Istanbul, Türkiye.
Mustafa Can KocFaculty of Sports Sciences, Istanbul Gelisim University, Istanbul, Türkiye.
Mustafa Yasar SahinFaculty of Sports Sciences, Gazi University, Ankara, Türkiye.
Kenan SebinFaculty of Sports Sciences, Atatürk University, Erzurum, Türkiye.
Laurentiu-Gabriel TalaghirFaculty of Physical Education and Sport, Dunarea de Jos University of Galati, Galaţi, Romania.
Teodora Mihaela IconomescuFaculty of Physical Education and Sport, Dunarea de Jos University of Galati, Galaţi, Romania.
Liliana NanuFaculty of Physical Education and Sport, Dunarea de Jos University of Galati, Galaţi, Romania.
Ștefan Cristian LiușneaFaculty of Physical Education and Sport, Dunarea de Jos University of Galati, Galaţi, Romania.
Gabriel Marian ManolacheFaculty of Physical Education and Sport, Dunarea de Jos University of Galati, Galaţi, Romania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The aim of this study is to examine university students' attitudes toward smart sports technologies and artificial intelligence within the framework of cognitive, affective, and behavioral dimensions, and to determine the predictive and mediating effects of these dimensions on attitudes toward wearable technological sports products. Objective: A total of 684 University Students' studying in the Faculties of Sports Sciences of universities in Istanbul participated in the study. Methods: The data collection tools used were a Personal Information Form, an Attitude Scale Toward Wearable Technological Sports Products, and an Attitude Scale Toward Artificial Intelligence. IBM SPSS Statistics 27.0 and Hayes PROCESS Macro were used for data analysis; descriptive statistics, independent samples Results: The findings revealed significant gender differences in attitudes toward smart sports technologies and artificial intelligence, as well as significant and positive relationships among cognitive, affective, and behavioral attitudes and a strong predictive effect of these attitudes on attitudes toward wearable sports technologies. Conclusions: In conclusion, it can be said that individuals' cognitive evaluations of artificial intelligence influence their emotional and behavioral tendencies, thus shaping their attitudes toward smart sports technologies. These findings demonstrate that psychological attitude dimensions play a significant role in the adoption of artificial intelligence and wearable technologies in sports environments.

Indexed as

Artificial IntelligenceAttitudeSportsStudentsWearable Electronic DevicesAdolescentAdultCognitionFemaleHumansMaleSurveys and QuestionnairesTurkeyUniversitiesYoung Adultartificial intelligenceattitudesmart sports technologiessports scienceswearable technologies

Identifiers

PMID42221654
PMCPMC13216001

What OpenQuestion holds

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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.