Evidence map›Paper›PMID 41382348›Full record

ArticlePsychiatry investigation2025

Prevalence and Distinct Correlates of Smartphone Addiction, Depressive Symptoms, and Their Comorbidity in College Students.

Yan Shi, Xiwu Zhang

Abstract read
In one paragraph

Article in Psychiatry investigation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Yan ShiSchool of Public Health, Changzhi Medical College, Changzhi, China.
Xiwu ZhangDepartment of Pharmacy, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.

Funding

Natural Science Foundation of Shandong Province ZR2022QB030
6 · The paper itself

Abstract

objectiveThis study aimed to assess the prevalence of comorbid of smartphone addiction and depressive symptoms and identify their common and distinct risk factors among college students.

methodsA total of 8,347 Chinese college students participated in the study by completing questionnaires that assessed individual, family, school, and peer factors, as well as smartphone addiction and depressive symptoms. Multivariate logistic regression was conducted to explore the risk of smartphone addiction only, depressive symptoms only, and their comorbidity.

resultsThe prevalence rates of smartphone addiction only, depressive symptoms only, and their comorbidity were 30.5%, 8.9%, and 25.3%, respectively. Higher frequency of mobile phone use in lessons and lower level of school belonging were associated with the increased risk of all three disease outcomes. There was a dose-response relationship between the number of risk exposures and the three disease outcomes.

conclusionThe more risk factors of college students were exposed to, the more likely they were to develop smartphone addiction only, depressive symptoms only, and their comorbidity. Targeted preventive measures and solutions should be implemented to reduce the occurrence of smartphone addiction and depressive symptoms.

Indexed as

ComorbidityDepressive symptomsRisk factorsSmartphone addictionStudents, college

Identifiers

PMID41382348
PMCPMC12699049

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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.