Correlates of Problematic Mobile Phone Use among Korean College Students

Cho, Sunhee; Jeon, Gyeong-Suk

doi:10.17547/kjsr.2016.24.1.13

Cited by 7 publications

(6 citation statements)

References 16 publications

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“…She found that the greater the use of the smartphone for communication purposes, the higher the degree of addiction [39]. Cho and Jeon (2016) confirmed that gender is significantly related to smartphone addiction, with women having a 3.94 times higher rate of smartphone overdependence than men [38].…”

Section: Correlation Between Smartphone Overdependence and Mmpi-2-rf ...mentioning

confidence: 92%

Mental Health and Personality Characteristics of University Students at Risk of Smartphone Overdependence

Seo

Hwang

Cho

2023

IJERPH

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The purpose of this study was to verify the relationship between the risk of smartphone dependence, mental health, and personality traits in university students using the Minnesota Multiphasic Personality Inventory-2-Restructured Form (MMPI-2-RF), and to identify the MMPI-2-RF scales that can predict the risk of smartphone dependence. Of the 772 university students who participated in the study, 163 were in the smartphone overdependence group, accounting for 21.1% of the total survey respondents, which was one in five of those surveyed. High T-scores on the measure indicate greater psychopathology. The smartphone overdependence group had significantly higher T-scores than the general user group on all but three of the MMPI-2-RF scales, and the degree of smartphone overdependence was positively correlated with scores on these scales. There was no difference between the dependent and non-dependent groups on the interpersonal passivity, aesthetic-literary interest, and aggression scales, and scores on these three were not correlated with smartphone dependence. Among the MMPI-2-RF scales, those found to predict the risk of smartphone overdependence were the emotional/internalizing problems, behavioral/externalizing problems, antisocial behavior, cognitive complaints, helplessness/hopelessness, inefficacy, juvenile conduct problems, aggression, interpersonal problems, disconstraint, negative emotionality/neuroticism, and introversion/low positive introversion/low positive emotionality scales. Based on these findings, we propose that effective prevention and intervention for smartphone overdependence must be comprehensive and holistic rather than focusing on specific aspects of mental health or personality. The implications of the findings are discussed.

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Section: Correlation Between Smartphone Overdependence and Mmpi-2-rf ...mentioning

confidence: 92%

Mental Health and Personality Characteristics of University Students at Risk of Smartphone Overdependence

Seo

Hwang

Cho

2023

IJERPH

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“…While there is still a lack of an accurate understanding of the process and the causal factors of smartphone addiction, some researchers described the cause of smartphone addiction as negative emotions and interpersonal difficulties [3]. In addition, it is reported that smartphone addiction phenomenon causes problems in mental health, interpersonal relationships and school life [4], and psychological and psychological factors are reported to have a significant effect on the addiction phenomenon [5].…”

Section: Necessity Of Studymentioning

confidence: 99%

Subjectivity Study on Smartphone Addiction in Nursing Students

Jang¹

2019

IJANER

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The purpose of this study is to identify the subjectivity of smartphone addiction recognized by nursing students, describe the characteristics of each type, and to identify the typology of smartphone addiction, and Q methodology was applied. 20 students in the department of nursing at A University were asked to classify 46 statements on smartphone addiction. Collected data were analyzed using the QUANL PC Program. In this study, the perception of smartphone addiction by nursing students were classified into 3 factors. Subjectivity types for smartphone addiction are 'cause oriented type', 'result oriented type', and 'physical harm concern type'. This study provided basic data on education related to nurses as female workers, and nursing of female patients in maternity parenting cycle.

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“…그러나 이러한 관계가 원만히 형성되지 못 할 경우 갈등과 고립감을 경험하게 되고 이를 벗어나기 위해 인 터넷이나 스마트폰을 과다하게 이용하여 중독 가능성이 높아 질 수 있다 [7,12]. 그동안의 선행연구에서 남학생은 인터넷 중 독 위험 성향이 높고, 여학생은 스마트폰 중독 위험 가능성이 높은 것으로 보고되었다 [5,14,15]. 특히 간호학과는 학과 특성 상 대부분이 여학생으로 구성되어 있으며 또한 간호학과는 타 학과에 비해 상대적으로 학업량이 과중하고 임상실습으로 인 한 긴장감이 높아서 [13], 상대적으로 간호대학생이 스마트폰 이나 인터넷 중독에 노출될 가능성이 높다고 보고되었다 [12].…”

Section: 대의 대학생 시기는 입시 위주의 고등학교 교육에서 벗어 나 자아정체성을 확립하고 자율성과 독립성을 추구하unclassified

Influence of Self-awareness, Other-awareness, and Interpersonal Relation Competence on Smartphone and Internet Addiction in Nursing Students

Son

2018

J Korean Acad Psychiatr Ment Health Nurs

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Purpose: This study purposed to identify the levels of self-awareness, other-awareness, interpersonal relation competence, and smartphone and Internet addiction and identify the influence of self-awareness, other-awareness, and interpersonal relations competence on smartphone and Internet addiction in nursing students. Methods: Study participants were 479 nursing students who completing structured self-report questionnaires. Data were analyzed using descriptive statistics, independent t-tests, one-way ANOVA, Pearson's correlation coefficients, and multiple regression. Results: The participants' smartphone addiction risk was shown to be 24.2%. Among the predictors, gender (β=-.11, p<.05), academic year (β=.15, p<.01), self-awareness (β=-.12, p<.05) other-awareness (β=.29, p<.001), and interpersonal relation competence (β=-.20, p<.001) had significant influences on smartphone addiction. The explanatory power of this regression model was 16.0% (F=10.21, p<.001). The participants' Internet addiction risk was shown to be 29.0%. Among the predictors, academic year (β=.12, p<.05), major satisfaction (β =-.17, p<.001), other-awareness (β=.22, p<.001), and interpersonal relation competence (β=-.18, p<.001) had significant influences on Internet addiction. The explanatory power of this regression model was 13. 0% (F=8.48, p<.001). Conclusion: It is necessary to develop the early detection and monitoring of smartphone and Internet addiction among nursing students. In addition, specific programs focused on promoting self-awareness and other-awareness for smartphone and Internet addiction should be developed.

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Correlates of Problematic Mobile Phone Use among Korean College Students

Cited by 7 publications

References 16 publications

Mental Health and Personality Characteristics of University Students at Risk of Smartphone Overdependence

Mental Health and Personality Characteristics of University Students at Risk of Smartphone Overdependence

Subjectivity Study on Smartphone Addiction in Nursing Students

Influence of Self-awareness, Other-awareness, and Interpersonal Relation Competence on Smartphone and Internet Addiction in Nursing Students

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