Evidence map›Paper›PMID 37303637›Full record

ReviewAmerican journal of translational research2023

Prevalence of mobile phone addiction among medical students: a systematic review.

Anqi Song, Guiling Song, Huanyan Wang, Qichao Niu, Guisen Yin, Hua Chen, Faisal Ul Rehman

Open access · greenAbstract readReview
In one paragraph

Review in American journal of translational research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
7.5field-weighted citation impact, top 3% of its field
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

15 citing papers in PubMed, 13 citations in OpenAlex.

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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

7 authors at 6 institutions in 1 country.

Anqi SongDepartment of Student Affairs, The Second Affiliated Hospital of Harbin Medical University Harbin 150086, Heilongjiang, China.
Guiling SongDepartment of Chemical Medicine, Yantai Center for Food and Drug Control Yantai 264003, Shandong, China.
Huanyan WangPersonnel Department, Women's Hospital, Zhejiang University School of Medicine Hangzhou 310030, Zhejiang, China.
Qichao NiuDepartment of Student Affairs, The Second Affiliated Hospital of Harbin Medical University Harbin 150086, Heilongjiang, China.
Guisen YinDepartment of Pharmacy, Yantai Hospital of Traditional Chinese Medicine Yantai 264001, Shandong, China.
Hua ChenDepartment of Research and Development, Qingdao Bioman Biomedical Technology Co., LTD Qingdao 266031, Shandong, China.
Faisal Ul RehmanThe Affiliated Hospital of Qingdao University, Precision Medicine Center of Oncology, Qingdao University Qingdao 266003, Shandong, China.
Harbin Medical University · CNQingdao Center of Resource Chemistry and New Materials · CNQingdao University · CNWomen's Hospital, School of Medicine, Zhejiang University · CNYantaishan Hospital · CNYantai University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The incidence and factors related to mobile phone addiction among Chinese medical students were analyzed through meta-analysis. Chinese literature databases (such as China Knowledge Network and VIP Information Resource System) and English literature databases (such as PubMed and Web of Science) were searched for cross-sectional studies on the incidence and factors related to mobile phone addiction, and the required data were extracted. Meta-analysis was performed using a random effects model with RevMan 5.3 statistical software, and publication bias was tested with Stata 12.0. A total of 20 studies were included, including 36,365 study subjects. Among them, there were 10,597 cases of mobile phone addiction with an incidence of 29.14%. The results of the meta-analysis showed that the combined OR values (95% CI) of the factors were: gender 1.070 (1.030-1.120), residence 1.118 (1.090-1.146), school type 1.280 (1.241-1.321), mobile phone use time 1.098 (1.068-1.129), sleep quality 1.280 (1.288-1.334), self-perception of learning 0.737 (0.710-0.767), and family relationship 0.821 (0.791-0.852). The study showed that being a male student from cities and towns, being at a vocational college, excessive use of mobile phones, and poor sleep quality were the risk factors for mobile phone addiction among medical students in China. Positive self-perception of learning and family relationships were protective factors, and more related factors are still controversial and need to be further explored and confirmed.

Indexed as

Chinainfluencing factorsmedical studentsmeta-analysisMobile phone addiction

Identifiers

PMID37303637
PMCPMC10250977
OpenAlexW4380290675

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.