Evidence map›Paper›PMID 42052057›Full record

ArticleFrontiers in psychology2026

Differential associations of exercise intensity, duration, and frequency with smartphone addiction: the mediating roles of mindfulness and anxiety.

Huangkun Chen, Yanhao Wang, Jingyou Zhong, Hongliang Wu, Ming Li

Abstract read
In one paragraph

Article in Frontiers in psychology, 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
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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

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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

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

5 authors.

Huangkun ChenSchool of Physical Education and Sport Science, Fujian Normal University, Fuzhou, China.
Yanhao WangSchool of Physical Education and Sport Science, Fujian Normal University, Fuzhou, China.
Jingyou ZhongSchool of Physical Education and Sport Science, Fujian Normal University, Fuzhou, China.
Hongliang WuSchool of Physical Education and Sport Science, Fujian Normal University, Fuzhou, China.
Ming LiSchool of Physical Education and Sport Science, Fujian Normal University, Fuzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study adopts a specificity perspective of different dimensions of physical exercise to examine the relationships between exercise intensity, duration, and frequency and smartphone addiction among college students, as well as the underlying psychological mechanisms. It further investigates the mediating roles of mindfulness and anxiety, with particular attention to the differences in how these exercise dimensions operate within the model. Methods: Using stratified random sampling, 1,795 college students in Fuzhou, Fujian Province, China, were surveyed. Physical exercise intensity, duration, and frequency were measured using the Physical Activity Rating Scale-3 (PARS-3), while mindfulness, anxiety, and smartphone addiction were assessed using the Mindful Attention Awareness Scale (MAAS), the Self-Rating Anxiety Scale (SAS), and the Smartphone Addiction Scale-Short Version (SAS-SV), respectively. Results: (1) All three dimensions of physical exercise-intensity, duration, and frequency-significantly and negatively predicted smartphone addiction (total effects: intensity = -0.139, duration = -0.119, frequency = -0.096; all Conclusion: Different dimensions of physical exercise show distinct associations with smartphone addiction among college students. By examining exercise intensity, duration, and frequency separately rather than treating physical activity as a single activity-level indicator, this study provides a new perspective for understanding the psychological mechanisms linking physical exercise and smartphone addiction.

Indexed as

anxietyexercise durationexercise frequencyexercise intensitymindfulnessphysical exercisesmartphone addiction

Identifiers

PMID42052057
PMCPMC13111557

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.