Factors Affecting Smartphone Addiction among University Students

조규영,; 김윤희,

doi:10.5762/kais.2014.15.3.1632

Cited by 20 publications

(13 citation statements)

References 8 publications

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“…Resilience did not have a significant indirect or direct effect on dependency in the current study. This is similar to the results of a previous study that identified the factors that affect smartphone addiction in college students [32], which reported that resilience was not significantly related to smartphone addiction. However, this differs from another study of adolescents [15] that found resilience to be significantly related to smartphone addiction.…”

Section: Plos Onesupporting

confidence: 90%

Exploring psychosocial factors that influence smartphone dependency among Korean adolescents

2020

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This study investigated the relationships among psychosocial factors that contribute to smartphone dependency among South Korean adolescents. This cross-sectional study involved the secondary data analysis of the 2016 Korean Children and Youth Panel Survey, a nationwide multistage cluster survey. Data were collected from 1,840 7th grade students in South Korea and analyzed with descriptive statistics, Pearson's correlation coefficients, and a path analysis using SPSS 21.0 and AMOS 23.0. The path analysis showed that selfesteem and aggressiveness directly influenced smartphone dependency, while affective parenting attitude, peer attachment, resilience, self-esteem, and depressive symptoms indirectly influenced it. The explanatory variables accounted for 18.3% of the total variance. In conclusion, parents' education on positive parenting and guidance concerning adolescents' smartphone use is necessary to reduce adolescents' smartphone dependency. It may also prove effective to promote adolescents' interpersonal skills and self-esteem to foster positive peer relationships and self-control concerning smartphone use.

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Section: Plos Onesupporting

confidence: 90%

Exploring psychosocial factors that influence smartphone dependency among Korean adolescents

2020

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“…Several Korean studies have reported good psychometric properties for the SAS (Cho & Kim, 2014; Lee & Cho, 2012; Park, Kim, & Ham, 2014) with internal consistency coefficients of 0.89 to 0.92 (Cho & Kim, 2014; Lee & Cho, 2012; Park et al, 2014). The scores of this scale have been reported to be significantly correlated with smartphone addiction ( r = .49), self-reported hours spent on SNSs ( r = .36), amount of SNS use ( r = .27), depression ( r = .37), anxiety ( r = .43), and self-esteem ( r = −.28; Cho & Kim, 2014; Lee & Cho, 2012; Oh, 2012). In our sample, results showed that the SAS had adequate item-total correlations which ranged from .53 to .70.…”

Section: Methodsmentioning

confidence: 99%

Development and Validation of a Social Network Site Use Motives Scale for College Students in South Korea

Shin

Lim

2017

Journal of Psychoeducational Assessment

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Although it has been suggested that social network site (SNS) use motives are one of important determinants of SNS addiction, there has not been yet a scale to assess them. The aim of this study was to examine psychological properties of a newly developed Social Network Site Use Motives Scale (SUMS) in a college student sample. The SUMS was administered to 481 nonclinical participants. Exploratory factor analysis, internal consistency analysis, and correlation analysis were undertaken to examine its validity and reliability. Results of factor analysis indicated that the SUMS consisted of four factors. Indices of internal consistency reliability, test-retest reliability, and criterion validity of SUMS were acceptable. Our study suggested that SUMS could be used as an effective tool to assess SNS use motives. The usage of SUMS should be encouraged in future studies of SNS use motives. Future research using this measure could provide a more comprehensive model of the relationship between SNS use motives and SNS addiction.

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“…A recent systematic review showed that depression, anxiety, and chronic stress were related to problematic smartphone use or smartphone addiction 5. Smartphone use can also reduce the amount of in-person social interaction and academic achievement, as well as generate relationship problems 678. Furthermore, Cazzulino et al9 mentioned health hazards such as texting while driving.…”

Section: Introductionmentioning

confidence: 99%

Exploring the Differences between Adolescents' and Parents' Ratings on Adolescents' Smartphone Addiction

Youn

Lee

et al. 2018

J Korean Med Sci

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BackgroundSmartphone addiction has recently been highlighted as a major health issue among adolescents. In this study, we assessed the degree of agreement between adolescents' and parents' ratings of adolescents' smartphone addiction. Additionally, we evaluated the psychosocial factors associated with adolescents' and parents' ratings of adolescents' smartphone addiction.MethodsIn total, 158 adolescents aged 12–19 years and their parents participated in this study. The adolescents completed the Smartphone Addiction Scale (SAS) and the Isolated Peer Relationship Inventory (IPRI). Their parents also completed the SAS (about their adolescents), SAS-Short Version (SAS-SV; about themselves), Generalized Anxiety Disorder-7 (GAD-7), and Patient Health Questionnaire-9 (PHQ-9). We used the paired t-test, McNemar test, and Pearson's correlation analyses.ResultsPercentage of risk users was higher in parents' ratings of adolescents' smartphone addiction than ratings of adolescents themselves. There was disagreement between the SAS and SAS-parent report total scores and subscale scores on positive anticipation, withdrawal, and cyberspace-oriented relationship. SAS scores were positively associated with average minutes of weekday/holiday smartphone use and scores on the IPRI and father's GAD-7 and PHQ-9 scores. Additionally, SAS-parent report scores showed positive associations with average minutes of weekday/holiday smartphone use and each parent's SAS-SV, GAD-7, and PHQ-9 scores.ConclusionThe results suggest that clinicians need to consider both adolescents' and parents' reports when assessing adolescents' smartphone addiction, and be aware of the possibility of under- or overestimation. Our results cannot only be a reference in assessing adolescents' smartphone addiction, but also provide inspiration for future studies.

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Factors Affecting Smartphone Addiction among University Students

Cited by 20 publications

References 8 publications

Exploring psychosocial factors that influence smartphone dependency among Korean adolescents

Exploring psychosocial factors that influence smartphone dependency among Korean adolescents

Development and Validation of a Social Network Site Use Motives Scale for College Students in South Korea

Exploring the Differences between Adolescents' and Parents' Ratings on Adolescents' Smartphone Addiction

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