Evidence map›Paper›PMID 41181684›Full record

ArticleFrontiers in psychology2025

Does body image dissatisfaction exacerbate smartphone addiction among Chinese college students?

Peizhe Xu, Kaichao Shao

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

Peizhe XuInstitute of Food Economics, Nanjing University of Finance and Economics, Nanjing, Jiangsu, China.
Kaichao ShaoSchool of Finance and Accounting, Yellow River Conservancy Technical University, Kaifeng, Henan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: In the context of the widespread use of mobile internet and smartphones, the issue of excessive smartphone uses and even addiction among college students has become an important social concern. However, the relationship between body image satisfaction, which is a key factor influencing psychological state and behavioral choices, and smartphone addiction has not been fully explored. Methods: This paper focuses on the impact of college students' body image satisfaction on smartphone addiction. In the theoretical part, this paper constructs a theoretical framework of smartphone addiction based on objectification theory. Using survey data from 1,958 college students in 7 universities across 3 provinces in China, this study evaluates the levels of smartphone addiction and body image satisfaction among Chinese college students using the Smartphone Addiction Scale-Short Version (SAS-SV) and the Body Image State Scale (BISS). In the empirical part, an OLS model is employed to analyze the impact of college students' body image satisfaction on smartphone addiction. Results: The study finds that a 1% decrease in college students' body image satisfaction leads to a 5.76% increase in smartphone addiction. Discussion: This conclusion varies by gender and discipline: in terms of gender differences, the impact of body image dissatisfaction on smartphone addiction among female college students is 1% higher than that among male college students; regarding discipline differences, the impact of body image dissatisfaction on smartphone addiction among students in humanities and social sciences is 2% higher than that among students in science and engineering. In the mechanism analysis, it is found that the frequent use of short-video and e-shopping apps among college students further exacerbates the impact of body image dissatisfaction on smartphone addiction.

Indexed as

APPbody image dissatisfactioncollege studentsgendersmartphone addiction

Identifiers

PMID41181684
PMCPMC12571763

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.