Evidence map›Paper›PMID 42261554›Full record

ArticleHealth science reports2026

The Dose-Response Relationship Between Leisure-Time Physical Activity and Smartphone Addiction in First-Year Tehran University Students: A Cross-Sectional Study.

Hosein Ataei-Goujani, Keyvan Karimi, Anis Gharajeh, Sarmad Salehi, Yosef Farzi, Mahnaz Khalafehnilsaz, Samaneh Akbarpour, Yosra Azizpour

Abstract read
In one paragraph

Article in Health science reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

8 authors.

Hosein Ataei-GoujaniOccupational Sleep Research Center, Baharloo Hospital Tehran University of Medical Sciences Tehran Iran.ORCID https://orcid.org/0000-0003-0163-1077
Keyvan KarimiNon-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute Tehran University of Medical Sciences Tehran Iran.ORCID https://orcid.org/0000-0002-0530-907X
Anis GharajehNon-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute Tehran University of Medical Sciences Tehran Iran.
Sarmad SalehiNon-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute Tehran University of Medical Sciences Tehran Iran.
Yosef FarziEndocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute Tehran University of Medical Sciences Tehran Iran.ORCID https://orcid.org/0000-0002-7321-5665
Mahnaz KhalafehnilsazSchool of Health and Society, Faculty of Education Health and Wellbeing University of Wolverhampton Wolverhampton UK.
Samaneh AkbarpourSleep Breathing Disorders Research Center Tehran University of Medical Sciences Tehran Iran.ORCID https://orcid.org/0000-0003-1459-5757
Yosra AzizpourNon-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute Tehran University of Medical Sciences Tehran Iran.ORCID https://orcid.org/0000-0002-3875-3871

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Smartphone addiction (SA) is highly prevalent among first-year university students and has significant consequences. Physical activity (PA), known to benefit both physical and mental health, has shown inconsistent associations with SA across studies. Moreover, the distinct sociocultural context of Iran with respect to PA and SA suggests that these associations may differ from those observed in other populations. Given these inconsistencies, this study aimed to examine the relationship between PA and SA among first-year students at Tehran University of Medical Sciences (TUMS). Methods: In this cross-sectional study, baseline data from 397 first-year TUMS students were analyzed. SA was measured using the Smartphone Addiction Scale-Short Version (SAS-SV) and PA with the Global Physical Activity Questionnaire (GPAQ-v2). Associations were examined using multivariable linear regression and dose-response analysis. Results: Participants engaged in sufficient moderate leisure-time physical activity (LTPA) had the strongest inverse association with SA (adjusted Conclusion: The current association between LTPA and SA could suggest that promoting LTPA may be particularly effective in mitigating smartphone addiction among first-year university students.

Indexed as

dose‐responsephysical activitysmartphone addictionstudents

Identifiers

PMID42261554
PMCPMC13242693

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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.