Evidence map›Paper›PMID 40920687›Full record

ArticlePloS one2025

The effect of mobile phone addiction on sleep procrastination in adolescents: The longitudinal mediating role of physical activity behavior.

Wanbin Yu, Xielin Zhou, Bo Li, Jianjun Huang

Abstract read
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Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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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.

Wanbin YuDepartment of Physical Education, Chengdu Sport University, Chengdu, Sichuan, China.
Xielin ZhouDepartment of Sports Training, Chengdu Sport University, Chengdu, Sichuan, China.
Bo LiDepartment of Sports Training, Chengdu Sport University, Chengdu, Sichuan, China.
Jianjun HuangDepartment of Physical Education, Ningbo University, Ningbo, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study explores the impact of adolescent mobile phone addiction on sleep delay and analyzes the longitudinal mediating role of physical activity behavior. It provides a reference for cultivating good habits and healthy behaviors among adolescents.

methodsThe study was based on the theory of planned behavior and used the Mobile Phone Addiction Scale (MPA), the Bedtime Procrastination Scale (BPS), and the Physical Activity Rating Scale to conduct a longitudinal follow-up survey of 376 healthy high school students in S Province. The survey was conducted three times at intervals of three months, and the data were processed using SPSS and AMOS.

results(1) There is a positive correlation between mobile phone addiction and sleep delay (p < 0.01), and a negative correlation between mobile phone addiction, sleep delay, and physical activity (p < 0.01). (2) T1 mobile phone addiction significantly and negatively predicts T2 physical exercise behavior (β = -0.21, p < 0.001), T1 physical exercise behavior significantly and negatively predicts T2 sleep delay (β = -0.24, p < 0.001), and T1 mobile phone addiction significantly and positively predicts T2 sleep delay (β = 0.25, p < 0.001); T2 mobile phone addiction significantly and negatively predicts T 3 physical activity behavior (β = -0.27, p < 0.001), T2 physical activity behavior significantly negatively predicts T3 sleep delay (β = -0.37, p < 0.001), and T2 mobile phone addiction significantly positively predicts T3 sleep delay (β = 0.24, p < 0.001). (3) The direct effect of mobile phone addiction on physical exercise behavior is 0.08, with a confidence interval of [0.034, 0.153], indicating that the direct effect is established. The longitudinal mediating effect of sleep delay in mobile phone addiction and physical exercise behavior is 0.051, with a confidence interval of [0.02, 0.098], indicating that the longitudinal mediating effect is established.

conclusion(1) There is a two-way correlation between adolescent mobile phone addiction, physical activity behavior, and sleep delay. (2) Adolescent mobile phone addiction can directly affect sleep delay across time and can also indirectly affect sleep delay across time through physical activity behavior.

Indexed as

Adolescent BehaviorBehavior, AddictiveCell PhoneExerciseSleepAdolescentFemaleHumansLongitudinal StudiesMaleSurveys and Questionnaires

Identifiers

PMID40920687
PMCPMC12416721

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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.