Evidence map›Paper›PMID 40247873›Full record

ArticleFrontiers in public health2025

Smartphone addiction and sleep quality in the physical activity-anxiety link: a mediation-moderation model.

Xiangrong Qin, Liangru Liu, Yan Yan, Xuxia Guo, Ningqi Yang, Ling Li

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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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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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.

Xiangrong QinSchool of Physical Education, Guangxi University, Nanning, China.
Liangru LiuSchool of Physical Education, Guangxi University, Nanning, China.
Yan YanSchool of Physical Education, Guangxi University, Nanning, China.
Xuxia GuoSchool of Physical Education, Guangxi University, Nanning, China.
Ningqi YangSchool of Physical Education, Guangxi University, Nanning, China.
Ling LiSchool of Physical Education, Guangxi University, Nanning, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Anxiety symptoms are common among university students in China, posing challenges to mental health. Physical activity may reduce anxiety, but the mechanisms are not fully understood. This study examines how smartphone addiction acts as a mediator and sleep quality as a moderator in the relationship between physical activity and anxiety, aiming to offer theoretical insights and practical strategies for mental health interventions. Methods: This cross-sectional study was conducted in September 2023 at Guangxi University. A stratified sampling method was used to approach 719 students from diverse physical education classes to distribute questionnaires, and 527 valid questionnaires were returned. Validated instruments included the International Physical Activity Questionnaire-Short Form (IPAQ-SF), Smartphone Addiction Scale-Short Version (SAS-SV), Pittsburgh Sleep Quality Index (PSQI), and Self-Rating Anxiety Scale (SAS). Data analysis involved standardization, descriptive statistics, Pearson correlation, normality testing, mediation and moderation analyses, and Bootstrap validation. Results: (1) Physical activity was negatively correlated with smartphone addiction ( Conclusion: This study revealed a more complex relationship between physical activity and anxiety than initially hypothesized. Our findings further revealed the relationship between physical activity and university students' anxiety, and considered the mediating role of smartphone addiction between the two, as well as the moderating role of sleep quality in the relationship between mobile phone addiction and university students' anxiety.

Indexed as

AnxietyBehavior, AddictiveExerciseInternet Addiction DisorderSleep QualitySmartphoneStudentsAdolescentAdultChinaCross-Sectional StudiesFemaleHumansMaleSurveys and QuestionnairesUniversitiesanxietyChinese college studentsmoderated mediationphysical activitysleep qualitysmartphone addiction

Identifiers

PMID40247873
PMCPMC12003382

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LicenceCC BY
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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.