The Effect of Self-Esteem and Depression on Smartphone Addiction among University Students

Yang, Kyoung Mi

doi:10.15207/jkcs.2016.7.1.113

Cited by 27 publications

(18 citation statements)

References 11 publications

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“…Bivariate correlations also showed that depression was positively associated with both PSU and average smartphone session length, whereby individuals with higher depression scores were more likely to exhibit PSU and use their smartphone for longer periods of time in one session. This supports the large body of research linking higher levels of depression to PSU [ 7 , 59 ]. These findings may be the result of individuals with higher depression levels using their smartphones to alleviate depressive symptoms such as negative mood and emotions.…”

Section: Discussionsupporting

confidence: 83%

“…PSU has also been found to be comorbid with depressive symptoms [ 58 ]. Depression severity has been consistently linked to PSU [ 7 , 11 , 59 ], this is often attributed to individuals engaging in smartphone use as an escape mechanism to deal with depressive symptoms and negative emotions [ 60 ]. It has also been argued that PSU could have an indirect effect on depressive symptoms through lack of sleep and work-related symptoms [ 61 , 62 ].…”

Section: Introductionmentioning

confidence: 99%

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Predictors of Problematic Smartphone Use: An Examination of the Integrative Pathways Model and the Role of Age, Gender, Impulsiveness, Excessive Reassurance Seeking, Extraversion, and Depression

Mitchell

Hussain

2018

Behavioral Sciences

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Background: The progression of mobile phone technology has led to the development of multi-functional smartphones providing access to features such as social media, e-mail, and videos alongside the basic functions of a mobile phone. Increasing amounts of research has explored the potential addictive nature of smartphones to develop a theoretical framework that describes personality factors related to problematic use. The present study examined the Integrative Pathways Model and the effect of age, gender, impulsiveness, excessive reassurance seeking, extraversion, and depression on problematic smartphone use. Method: A total of 147 smartphone users (mean age = 30.96, SD = 12.97, 69.4% female) completed an online survey comprising of measures of problematic smartphone use, excessive reassurance seeking, extraversion, depression, and impulsiveness. Results: Age, impulsiveness, excessive reassurance seeking, and depression were all significantly related to problematic smartphone use, however extraversion was not significantly related. Furthermore, age and impulsiveness were significant independent predictors of problematic smartphone use. No gender differences were found. Conclusions: The findings presented several factors that predict problematic smartphone use, implications and suggestions for future research are discussed.

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Section: Discussionsupporting

confidence: 83%

Section: Introductionmentioning

confidence: 99%

Predictors of Problematic Smartphone Use: An Examination of the Integrative Pathways Model and the Role of Age, Gender, Impulsiveness, Excessive Reassurance Seeking, Extraversion, and Depression

Mitchell

Hussain

2018

Behavioral Sciences

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“…The series of meta-analyses confirm the results of previous studies that smartphone addiction tends to worsen mental health problems(Jang & Kwag, 2015;Kang, 2016) and stress levels(Cho, Kim, & Park, 2017;Sim et al, 2016). Furthermore, it could also significantly decrease the level of self-esteem(Choi & Yoo, 2015;Yang, 2016) and self-control. Most importantly this study has established a significant, homogenous, and positive relationship between Anxiety and Depression with smartphone addiction across multiple samples.…”

supporting

confidence: 84%

Smartphone Addiction and Behavioral Outcomes in South Korea: A Systematic Review and Meta-Analysis

Shahjehan

Afridi

Haider

et al. 2021

HSSR

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Purpose of the study: There is considerable debate on smartphone addiction and its relationship with behavioral outcomes however in literature there is only one meta-analysis in the country-specific context and none in the South Korean context. Ranked 6th based on smartphone penetration in the world it is imperative to quantify the association. Methodology: A systematic review was conducted to collect published sources about smartphone addiction and its relationships with behavioral outcomes. The identified sources were evaluated for appropriateness and inclusion in the meta-analysis was made. Thirty-one studies were included in the Meta-analysis providing data from 32 samples (n=11,002) and presented associations with 13 behavioral outcomes. Main Findings: Meta-analytical tests presented a positive and significant relationship between smartphone addiction and the overall subject’s behavioral outcomes. Among the behavioral outcomes identified through the systematic review, six had significant while seven had an insignificant association with smartphone addiction. Lastly, these behavioral outcomes were quantitatively classified into 6 groups based on direction, significance, and heterogeneity of their reported effects. Overall smartphone addiction has a significant role in modifying certain behaviors of an individual. Applications of this study: The results of this study enforce the opinion that smartphone addiction tends to significantly enhance negative behavioral outcomes while limits positive outcomes in the South Korean population. Novelty/Originality of this study: This is the first country-specific study conducted regarding smartphone addiction. This is also the first meta-analysis study conducted which evaluated the effects of smartphone addiction on multiple behavior outcomes.

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“…In addition, overuse of smartphones by students can negatively impact their academic performance and learning activities, especially for universities, where there is a lot of independence in regulating how and when to use smartphones. Scientific studies have also found that constant testing of students and overuse not only negatively affect their learning, but also have negative effects on their health, such as pain in the wrists, blurred vision, low self-esteem, anxiety, insomnia and poor eyesight [16][17][18].…”

Section: Discussionmentioning

confidence: 99%

Level of Internet Addiction of Schoolchildren and Specific Character of Their Socio-Psychological Adaptation

Kozhukhar

Belousova

2021

E3S Web Conf.

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This article is devoted to the study of the characteristics of socio-psychological adaptation of high school students with different levels of Internet addiction. The paper examines the phenomenon of Internet addiction as a variation of behavioral addiction in the context of information security. The study involved 120 high school students from municipal educational institutions in Moscow. Two diagnostic methods were used: Chen Internet Addiction Scale - CIAS adapted by V.L. Malygina, K.A. Feklisova; Test of Personal Adjustment by Carl R. Rogers, Rosalind F. Dymond (adapted by A.K. Osnitsky). As a result of the conducted empirical research, significant differences in the components of socio-psychological adaptation of schoolchildren with different levels of Internet addiction have been shown; it has also been proved that Internet addiction acts as a predictor of adaptation of high school students.

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The Effect of Self-Esteem and Depression on Smartphone Addiction among University Students

Cited by 27 publications

References 11 publications

Predictors of Problematic Smartphone Use: An Examination of the Integrative Pathways Model and the Role of Age, Gender, Impulsiveness, Excessive Reassurance Seeking, Extraversion, and Depression

Predictors of Problematic Smartphone Use: An Examination of the Integrative Pathways Model and the Role of Age, Gender, Impulsiveness, Excessive Reassurance Seeking, Extraversion, and Depression

Smartphone Addiction and Behavioral Outcomes in South Korea: A Systematic Review and Meta-Analysis

Level of Internet Addiction of Schoolchildren and Specific Character of Their Socio-Psychological Adaptation

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