Evidence map›Paper›PMID 29017482›Full record

ArticleBMC psychiatry2017

Gender differences in factors associated with smartphone addiction: a cross-sectional study among medical college students.

Baifeng Chen, Fei Liu, Shushu Ding, Xia Ying, Lele Wang, Yufeng Wen

Open access · goldAbstract read
In one paragraph

Article in BMC psychiatry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 216 papers, 12 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
216citing papers in PubMed, 12 pooled it
91.0field-weighted citation impact, top 1% 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

216 citing papers in PubMed, 12 syntheses or guidelines pooled it, 544 citations in OpenAlex.

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  11. Does Smartphone Addiction Fall on a Continuum of Addictive Behaviors?International journal of environmental research and public health · 2020
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  14. Smartphone Addiction Modulates Object-Based Attention.Behavioral sciences (Basel, Switzerland) · 2026
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156 more citing papers are in PubMed but not listed here.

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

6 authors at 1 institution in 1 country.

Baifeng ChenSchool of Public Health, Wannan Medical College, 22 West wenchang Road, Wuhu, Anhui Province, 241002, China.ORCID 0000-0003-1294-8184
Fei LiuSchool of Public Health, Wannan Medical College, 22 West wenchang Road, Wuhu, Anhui Province, 241002, China.
Shushu DingSchool of Public Health, Wannan Medical College, 22 West wenchang Road, Wuhu, Anhui Province, 241002, China.
Xia YingSchool of Public Health, Wannan Medical College, 22 West wenchang Road, Wuhu, Anhui Province, 241002, China.
Lele WangSchool of Public Health, Wannan Medical College, 22 West wenchang Road, Wuhu, Anhui Province, 241002, China.
Yufeng WenSchool of Public Health, Wannan Medical College, 22 West wenchang Road, Wuhu, Anhui Province, 241002, China. wyf@wnmc.edu.cn.
Wannan Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSmartphones are becoming increasingly indispensable in everyday life for most undergraduates in China, and this has been associated with problematic use or addiction. The aim of the current study was to investigate the prevalence of smartphone addiction and the associated factors in male and female undergraduates.

methodsThis cross-sectional study was conducted in 2016 and included 1441 undergraduate students at Wannan Medical College, China. The Smartphone Addiction Scale short version (SAS-SV) was used to assess smartphone addiction among the students, using accepted cut-offs. Participants' demographic, smartphone usage, and psycho-behavioral data were collected. Multivariate logistic regression models were used to seek associations between smartphone addiction and independent variables among the males and females, separately.

resultsThe prevalence of smartphone addiction among participants was 29.8% (30.3% in males and 29.3% in females). Factors associated with smartphone addiction in male students were use of game apps, anxiety, and poor sleep quality. Significant factors for female undergraduates were use of multimedia applications, use of social networking services, depression, anxiety, and poor sleep quality.

conclusionsSmartphone addiction was common among the medical college students investigated. This study identified associations between smartphone usage, psycho-behavioral factors, and smartphone addiction, and the associations differed between males and females. These results suggest the need for interventions to reduce smartphone addiction among undergraduate students.

Indexed as

AnxietyBehavior, AddictiveChinaCross-Sectional StudiesDepressionFemaleHumansMalePrevalenceSex FactorsSmartphoneStudents, MedicalSurveys and QuestionnairesYoung AdultAnxietyDepressionProblematic smartphone useSleep qualitySmartphone addiction

Identifiers

PMID29017482
PMCPMC5634822
OpenAlexW2763589533

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.