Evidence map›Paper›PMID 40613002›Full record

ArticleFrontiers in psychology2025

A sociological investigation of the effect of cell phone use on students' academic, psychological, and socio-psychological performance.

Xiaoping Tang, Zijun Shen, Muhammad Idrees Khan, Qiong Wang

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

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.

Xiaoping TangSchool of Economics, Guizhou University, Guiyang, Guizhou, China.
Zijun ShenDepartment of Foreign Languages, Sichuan University of Media and Communications, Chengdu, China.
Muhammad Idrees KhanSchool of Foreign Languages, Guizhou University, Guiyang, Guizhou, China.
Qiong WangSchool of Economics, Guizhou University, Guiyang, Guizhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This research investigates the relationship between the use of mobile phones in terms of the academic performance and mental wellbeing of the students who are attending two universities and related high schools in Guizhou province, China. The research aims at gaining insight as to the nature of the relationship between mobile phone use and students' academic, psychological and socio-psychological experiences by using a quantitative cross-sectional survey design. A sample of 300 students (150 students from Guizhou Normal University and 150 from Guizhou University) was chosen for the present study. Information provided by respondents was based on a structured questionnaire scale using five-point Likert scale measuring issues such as mobile phone use habit, academic performance and wellbeing. To enhance the understanding of these associations, moderating variables, such as age, gender, and academic discipline (STEM vs. humanities) were specified for explaining their impact on the use and impacts of mobile phones on students. The Chi-square and Gamma tests were employed in statistical analysis to investigate the interrelationships among the study variables. The finding disclosed that excessive use of mobile phones for entertainment (social media, music, and messaging) is associated with a negative impact on academic grades and mental illnesses (Gamma = -0.09). In contrast, the use of mobile phones among the students for academic purposes such as accessing educational materials had a desirable academic implication (

Indexed as

academic performancemental healthmobile phonessocial behaviorstudents

Identifiers

PMID40613002
PMCPMC12222078

What OpenQuestion holds

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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.