Evidence map›Paper›PMID 33720952›Full record

ArticlePloS one2021

The relationships between negative emotions and latent classes of smartphone addiction.

Heng Yue, Xuemin Zhang, Junfang Sun, Min Liu, Cuiyun Li, Hugejiletu Bao

Abstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

26 citing papers in PubMed.

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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

6 authors.

Heng YueSchool of Psychology, Inner Mongolia Normal University, Hohhot, Inner Mongolia, China.
Xuemin ZhangSchool of Psychology, Inner Mongolia Normal University, Hohhot, Inner Mongolia, China.
Junfang SunSchool of Psychology, Inner Mongolia Normal University, Hohhot, Inner Mongolia, China.
Min LiuSchool of Psychology, Inner Mongolia Normal University, Hohhot, Inner Mongolia, China.
Cuiyun LiSchool of Psychology, Inner Mongolia Normal University, Hohhot, Inner Mongolia, China.
Hugejiletu BaoCollege of Physical Education, Inner Mongolia Normal University, Saihan District, Hohhot, Inner Mongolia, China.ORCID 0000-0003-0119-9931

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The relationships between negative emotions and smartphone addiction has been tested through the literature. However, most of the studies applied variable-centered approaches. The heterogeneity of smartphone addiction severity has not been examined for the associations with negative emotion variables. The purposes of the present study is to explore the latent classes of smartphone addiction and analyze the relationships between depression, social anxiety and boredom and these subgroups. The Smartphone Addiction Scale-Short Version (SAS-SV) and three negative emotion scales were employed to conduct a survey of 539 college students. Mplus8.3 software was applied to perform the latent class analysis (LCA) based on the smartphone addiction symptom ratings. ANOVA and multinomial logistic regression were used to explore the differences among these latent categories and the associations between these subgroups and negative emotion variables. Results demonstrated that Negative emotional variables were significantly correlated with smartphone addiction proneness. Based on their scores on the Smartphone Addiction Scale, smartphone users were divided into three latent classes: low risk class, moderate class and high risk class. Women were more likely to be classified in the high-risk class. The severity of depression and boredom was able to predict the membership of the latent class effectively; while social anxiety failed to do this in the high risk class.

Indexed as

EmotionsInternet Addiction DisorderSmartphoneAdultFemaleHumansMalePsychometricsStudents

Identifiers

PMID33720952
PMCPMC7959355

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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.