Evidence map›Paper›PMID 41246060›Full record

ArticleFrontiers in public health2025

Dual-pathway protection: physical activity buffers the relationship between perceived stress and problematic smartphone use via social anxiety by a moderated mediation model in Chinese college students.

Ningning Liu, Xiaoyuan Han, Xinghong Dai, Guofeng Zhang

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Ningning LiuCollege of Basic Medical Sciences, Jining Medical University, Jining, China.
Xiaoyuan HanDepartment of Psychology, Chengde Medical University, Chengde, Hebei, China.
Xinghong DaiSchool of Physical Education, Hunan University, Changsha, China.
Guofeng ZhangBasic Department, Jining Polytechnic, Jining, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study investigates the dual-pathway mechanism through which physical activity mitigates problematic smartphone use (PSU) among Chinese college students, examining the mediating role of social anxiety and the moderating effects of physical activity within a stress-PSU framework. Methods: General stress theory was introduced to explore the intrinsic mechanisms by which perceived stress influences PSU. A total of 2,905 undergraduate students from universities in Shandong Province were selected using a convenient sampling method. Validated scales were used to measure perceived stress (PSS-14), social anxiety (IAS), physical activity (PARS-3) and PSU tendency (MPATS). Data analysis included correlation tests, regression analysis and moderated mediation modeling (PROCESS Macro Model 4/15). Results: (1) There was a significant positive correlation between perceived stress, social anxiety and problematic smartphone use (All Conclusion: Physical activity disrupts the stress-PSU cycle through two synergistic mechanisms: directly reducing stress-driven addiction and decoupling social anxiety from excessive smartphone use. Universities should implement structured physical activity programs as a dual-path intervention against PSU.

Indexed as

AnxietyExerciseInternet Addiction DisorderSmartphoneStress, PsychologicalStudentsAdolescentAdultChinaFemaleHumansMaleMediation AnalysisSurveys and QuestionnairesUniversitiesYoung Adulta moderated mediation modelcollege studentsperceived stressphysical activityproblematic smartphone usesocial anxiety

Identifiers

PMID41246060
PMCPMC12611824

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.