Evidence map›Paper›PMID 40606901›Full record

ArticleFrontiers in psychology2025

Mapping gender networks of smartphone addiction and academic procrastination: a network analysis study.

Lu Song, Zhilin Liu, Yujia Yang, Shuangshuang Yuan

Abstract read
In one paragraph

Article in Frontiers in psychology, 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

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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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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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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

4 authors.

Lu SongSchool of Education Science, Liupanshui Normal University, Liupanshui, China.
Zhilin LiuDepartment of Education, Nanchang Institute of Science and Technology, Nangchang, Jiangxi, China.
Yujia YangCollege of Music, Luoyang Normal University, Luoyang, China.
Shuangshuang YuanDepartment of Life Science, Changzhi University, Changzhi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Smartphone addiction (SA) and academic procrastination (AP) are two of the educational challenges encountered by many higher education students today that have led to a series of adverse effects on their well-being. Aims sample and methods: Previous studies have reported inconsistent findings regarding gender differences in SA and AP, and limited attention has been paid to gender differences in the interaction between SA and AP. To address this gap, the present study employs network analysis to investigate gender differences in the SA, AP, and SA-AP interaction networks among higher education students. A total of 438 students from four higher education institutions in China participated in this study. Results: The findings indicate that there are more differences than similarities in the SA and AP networks between male and female students. In addition, within the SA-AP interaction network, the core feature of the male network is academic procrastination, reflecting deficiencies in time management and self-regulation. In contrast, the core feature of the female network is smartphone addiction, which highlights a strong dependence on immediate social feedback. Conclusion: This study represents the first attempt to investigate gender differences in SA and AP through the lens of network analysis. The findings reveal the complexity of gender differences in behavioral patterns and psychological mechanisms, moving beyond the limitations of previous research that primarily focused on mean-level differences. This study deepens the understanding of SA and AP and provides both theoretical support and practical guidance for the development and implementation of effective intervention strategies to address SA and AP among students.

Indexed as

academic procrastinationadult learninggender studiespedagogical issuessmartphone addiction

Identifiers

PMID40606901
PMCPMC12213621

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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.