Literature DB >> 30878856

Types of problematic smartphone use based on psychiatric symptoms.

Mi Jung Rho1, Jihwan Park2, Euihyeon Na3, Jo-Eun Jeong4, Jae Kwon Kim5, Dai-Jin Kim6, In Young Choi7.   

Abstract

To provide appropriate solutions for problematic smartphone use, we need to first understand its types. This study aimed to identify types of problematic smartphone use based on psychiatric symptoms, using the decision tree method. We recruited 5,372 smartphone users from online surveys conducted between February 3 and February 22, 2016. Based on scores on the Korean Smartphone Addiction Proneness Scale for Adults (S-Scale), 974 smartphone users were assigned to the smartphone-dependent group and 4398 users were assigned to the normal group. The data-mining technique of C5.0 decision tree was applied. We used 15 input variables, including demographic and psychological factors. Four psychiatric variables emerged as the most important predictors: self-control (Sc; 66%), anxiety (Anx; 25%), depression (Dep; 7%), and dysfunctional impulsivities (Imp; 3%). We identified the following five types of problematic smartphone use: (1) non-comorbid, (2) self-control, (3) Sc + Anx, (4) Sc + Anx + Dep, and (5) Sc + Anx + Dep + Imp. We found that 74% of smartphone-dependent users had psychiatric symptoms. The ratio of participants belonging to the non-comorbid and self-control types was 64%. We proposed that these types of problematic smartphone use may be used for the development of an appropriate service for controlling and preventing such behaviors in adults.
Copyright © 2019. Published by Elsevier B.V.

Entities:  

Keywords:  Brief Self-control Scale; C5.0 algorithm; Decision tree analysis; Dickman Impulsivity Inventory-short version; GAD-7 scale; Generalized anxiety disorder; Korean Smartphone Addiction Proneness Scale for Adults; Patient Health Questionnaire-9

Mesh:

Year:  2019        PMID: 30878856     DOI: 10.1016/j.psychres.2019.02.071

Source DB:  PubMed          Journal:  Psychiatry Res        ISSN: 0165-1781            Impact factor:   3.222


  7 in total

1.  Development of the Smartphone Addiction Risk Rating Score for a Smartphone Addiction Management Application.

Authors:  Jihwan Park; Jo-Eun Jeong; Seo Yeon Park; Mi Jung Rho
Journal:  Front Public Health       Date:  2020-09-11

2.  Predictors of Habitual and Addictive Smartphone Behavior in Problematic Smartphone Use.

Authors:  Jihwan Park; Jo-Eun Jeong; Mi Jung Rho
Journal:  Psychiatry Investig       Date:  2021-02-02       Impact factor: 2.505

Review 3.  Smartphone Addiction and Associated Health Outcomes in Adult Populations: A Systematic Review.

Authors:  Zubair Ahmed Ratan; Anne-Maree Parrish; Sojib Bin Zaman; Mohammad Saud Alotaibi; Hassan Hosseinzadeh
Journal:  Int J Environ Res Public Health       Date:  2021-11-22       Impact factor: 3.390

4.  Ultrasound biomicroscopy study of accommodative state in Smartphone abusers.

Authors:  Randa Farouk Kashif; Mohammad Ahmad Rashad; Azza Mohamed Ahmed Said; Menan Abd-El-Maksoud Rabie; Wael Adel Gomaa
Journal:  BMC Ophthalmol       Date:  2022-08-03       Impact factor: 2.086

5.  Excessive Smartphone Use and Self-Esteem Among Adults With Internet Gaming Disorder: Quantitative Survey Study.

Authors:  Hyunmin Kim; In Young Choi; Dai-Jin Kim
Journal:  JMIR Mhealth Uhealth       Date:  2020-09-29       Impact factor: 4.773

6.  Perceived Challenges and Online Harms from Social Media Use on a Severity Continuum: A Qualitative Psychological Stakeholder Perspective.

Authors:  Melina A Throuvala; Mark D Griffiths; Mike Rennoldson; Daria J Kuss
Journal:  Int J Environ Res Public Health       Date:  2021-03-20       Impact factor: 3.390

7.  Caudate nucleus volume mediates the link between glutamatergic neurotransmission and problematic smartphone use in youth.

Authors:  Jae Hyun Yoo; Ji-Won Chun; Mi Ran Choi; Hyun Cho; Jin-Young Kim; Jihye Choi; Dai-Jin Kim
Journal:  J Behav Addict       Date:  2021-04-26       Impact factor: 6.756

  7 in total

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