Evidence map›Paper›PMID 36451113›Full record

ArticleBMC psychiatry2022

Distinct patterns of problematic smartphone use and related factors in Chinese college students.

Lan Hong, Xinyi Lai, Dongwu Xu, Wei Zhang, Bichang Wu, Xin Yu, Ke Zhao, Guohua Zhang

Open access · goldAbstract read
In one paragraph

Article in BMC psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
7.9field-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

11 citing papers in PubMed, 24 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

8 authors at 3 institutions in 1 country.

Lan Hong *The Third Hospital of QuZhou, Quzhou, 324000, China.
Xinyi Lai *School of Mental Health, Wenzhou Medical University, Wenzhou, 325035, China.
Dongwu XuSchool of Mental Health, Wenzhou Medical University, Wenzhou, 325035, China.
Wei ZhangSchool of Mental Health, Wenzhou Medical University, Wenzhou, 325035, China.
Bichang WuSchool of Mental Health, Wenzhou Medical University, Wenzhou, 325035, China.
Xin YuSchool of Mental Health, Wenzhou Medical University, Wenzhou, 325035, China. zghcnu@wmu.edu.cn.
Ke ZhaoLishui Second People's Hospital Affiliated to Wenzhou Medical University, Lishui, 323000, China. cocozk1986@163.com.
Guohua ZhangThe Affiliated Kangning Hospital, Wenzhou Medical University, Wenzhou, China. yuxin@bjmu.edu.cn.
Wenzhou Medical University · CNJinzhou Kangning Hospital · CNLishui City People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to categorize different subgroups of problematic smartphone use in Chinese college students. Differences in gender and psychosocial characteristics of the categorized groups were also examined.

methodsA total of 1123 participants completed the Mobile Phone Addiction Index Scale, the Center for Epidemiologic Studies Depression Scale, the Perceived Social Support Scale, and the Perceived Stress Scale. Using latent profile analysis, we identified different subgroups of problematic smartphone use in college students. Multivariate logistic regression analysis was implemented to examine the relationship between latent classes and demographic and psychosocial covariates.

resultsThe four following latent classes were identified: a low-risk group, a moderate-risk with no evasiveness group, a moderate-risk with evasiveness group, and high-risk group that accounted for 11%, 24.1%, 35.5%, and 29.4% of the total sample, respectively. Further analysis revealed that female participants were more likely to be in the moderate-risk with evasiveness and high-risk groups, and individuals with depressed mood were more likely to be in the moderate-risk and high-risk groups.

conclusionsClassifying college students according to the features of problematic smartphone use is potentially useful for understanding risk factors and developing targeted prevention and intervention programs.

Indexed as

SmartphoneStudentsAsian PeopleChinaFemaleHumansRisk FactorsChinese undergraduatesDepressionGenderLatent profile analysisProblematic smartphone use

Identifiers

PMID36451113
PMCPMC9710163
OpenAlexW4310384204

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.