• Title, Summary, Keyword: Smartphone Addiction

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The Relationship Between the Life Stress and Smartphone Addiction in Nursing College Students (간호대학생의 생활스트레스와 스마트폰 중독 관련성)

  • Kim, Jong-Im
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.4
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    • pp.391-400
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    • 2019
  • This study was conducted to investigate the connections between life stress and smartphone addiction of nursing college students. The subjects included nursing college students in some areas. Data were collected in November and December, 2018 from a total of 240 subjects. Collected data were subjected to frequency, percentage, t-test, ${\chi}^2$-test, and ANOVA analyses to identify differences in smartphone addiction level and stress characteristics according to general characteristics. Correlations between smartphone addiction and stress characteristics were investigated by Pearson's correlation analysis, and factors influencing smartphone addiction were examined by hierarchical multiple regression analysis. The findings showed that independent variables had explanatory powers of 14.8% and 32.7% in Models 1 and 2, respectively. The study examined differences in smartphone addiction level according to the general characteristics of the subjects and found that female college students had a higher level of smartphone addiction than their male counterparts. The smartphone addiction level was high in those who were not satisfied with college life, used a smartphone for five hours or more a day, and spent many hours on SNS. Evaluation of differences in stress characteristics according to their general characteristics revealed female college students scored higher for stress characteristics. The means of the stress characteristics were also high for those who were not satisfied with college life, used a smartphone for many hours, and had a high risk of smartphone addiction. In conclusion, female gender, hours of smartphone usage and SNS, academic stress, and value stress were important factors influencing the smartphone addiction of nursing college students. These findings indicate the need to reinforce a stress management program for nursing college students and thus provide them with multifaceted support for stress management.

A Study on the Discriminating Factors of Adolescents' Gambling Addiction: Focusing on Irrational Belief of Gambling, Impulsiveness, and Smartphone Addiction (청소년 도박중독 판별요인 분석 : 비합리적 도박신념, 충동성, 스마트폰 중독을 중심으로)

  • Kim, Sung-Bong;Jang, Jung-Im
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.8
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    • pp.630-636
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    • 2016
  • The main purpose of this study was to verify if irrational belief of gambling, impulsiveness, and smartphone addiction could discriminate adolescents' gambling addiction (addiction risk group, non-addicted group). To this end, a survey was performed targeting 1,420 middle and high school students living in Jeju. In order to examine the differences between irrational belief of gambling, impulsiveness, and smartphone addiction according to gambling addiction, independent sample t-test was conducted, and to determine if irrational belief of gambling, impulsiveness, and smartphone addiction could discriminate gambling addiction, discriminant analysis was conducted. As a result, first, there were significant differences between irrational belief of gambling, impulsiveness, and smartphone addiction according to adolescents' gambling addiction, and all the variables were significantly higher in the addiction risk group than in the non-addicted group. Second, irrational belief of gambling, impulsiveness, and smartphone addiction were important explanatory variables to discriminate between the addiction risk group and the non-addicted group. In addition, as a result of examining the relative importance of the variables, irrational belief of gambling was the most important, followed by impulsiveness and smartphone addiction. Third, a discriminant function consisting of irrational belief of gambling, impulsiveness, and smartphone addiction showed a 62.5% hit ratio. This study specified the determinant factors of gambling addiction, and has presented meaningful basic data for developing programs to prevent adolescents' gambling addiction in the future.

Factors Affecting on Smartphone Addiction according to the Classification of Addiction-risk Groups among College Students: A Focus on Self-control (대학생의 스마트폰 중독 분류군 별 중독에 영향을 미치는 요인: 자기통제력을 중심으로)

  • Jang, In Sun;Park, Seungmi
    • Korean Journal of Adult Nursing
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    • v.27 no.6
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    • pp.634-643
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    • 2015
  • Purpose: The purpose of the study was to investigate the factors affecting on smartphone addiction according to the classification of addiction-risk groups among college students, focusing on self-control. Methods: A sample of 242 college students at K University in Seoul was recruited to participate in the study. A structured questionnaire composed of items for the self-rated smartphone addiction scale and self-control scale was used to collect data. Results: The number of students in smartphone addiction-risk group was 66 (27.3%). This study had 17.5% of the explanatory power, including perceived smartphone necessity (${\beta}=.330$, p=.007), and instant self-control (${\beta}=-.281$, p=.028) in addiction-risk group. Whereas, in non-risk group, the affecting factors included gender (${\beta}=.194$, p=.004), self-awareness of addiction (${\beta}=-.290$, p<.001), and instant self-control (${\beta}=-.281$, p<.001) with 31.3% of the explanatory power. Conclusion: There is a need to develop an intervention program to prevent the addiction of smartphones and to improve self-control among college students.

The Differences in Smartphone Addiction Symptoms between Highly Addicted and Non-addicted among Middle School Students by Types of Risk Groups (청소년의 스마트폰 중독 위험군과 비중독군의 스마트폰 중독 관련 요인)

  • Kim, Sang-Hee;Kim, Jung-Yee;Jun, So-Yeun;Woo, Kyung-Mi
    • Journal of the Korean Society of School Health
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    • v.33 no.2
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    • pp.67-78
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    • 2020
  • Purpose: This study aimed to investigate the effects of various factors on smartphone addiction according to types of risk groups among middle school students. Methods: Data of 223 students were collected from February 1st to 22nd of 2020. The collected data were analyzed through t-test, χ2 test, correlaton coefficients, and multiple regression analysis. The smartphone addiction scale was used to classify the participants into two groups; 18.8% (n=42) of the total respondents were categorized as the addiction risk group and 81.2% (n=181) were categorized as the general population group. Results: The factors associated with the students in the high risk group were grade (t=3.89, p=.036) and religion (F=3.79, p=.044). In the high risk group, psychological anxiety (β=.39, p=.005) and relapse of internet addiction (β=.38, p=.006) explained 46.0% of smartphone addiction, while in the normal risk group, relapse of internet addiction (β=.42, p<.001), psychological anxiety (β=.22, p=.004), tolerance of internet addiction (β=.17, p=.007), and academic stress (β=.14, p=.027) explained 51.0% of smartphone addiction. Conclusion: In order to prevent smartphone addiction in middle school students, a more specific nursing intervention is needed that can reduce psychological anxiety and relapse of internet addiction. It is clear that urgent measures need to be taken for the highly addicted students such as academic counseling.

The mediating effects of the interpersonal problems in the relationship between depression and smartphone addiction of college student living in a dormitory (대학 기숙사생의 우울과 스마트폰 중독과의 관계에서 대인관계 문제의 매개효과)

  • Lee, Mi Young;Kang, Hee Yang
    • Journal of Digital Convergence
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    • v.17 no.1
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    • pp.413-421
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    • 2019
  • This study focuses on the mediating effects of the interpersonal problems in the relationship between depression and smartphone addiction of college student living in a dormitory. The subject group was consist of students living in a dormitory among the college students in K city. The final 1,016 questionnaires were used as research data. The data analysis used correlation analysis, regression analysis, and Sobel test. The results showed depression, interpersonal problems and smartphone addiction were significantly correlated, and depression had a direct effect on smartphone addiction. In other words, the higher the level of depression, the higher the level of smartphone addiction of college students. Interpersonal problems was partially mediated between depression and smartphone addiction. Therefore, in order to decrease the level of college student's depression and smartphone addiction, it is necessary to develop and implement a program or counseling that can handle interpersonal problems as one of the strategies that can decrease the level of smartphone addiction. Discussed the use of research results and future research.

The Moderating Effect of Smartphone Addiction on the Relationship between Interpersonal Problem and Depression (대학생의 대인관계 문제와 우울의 관계에서 스마트폰 중독의 조절효과)

  • Hong, Eunyoung
    • Journal of Korean Public Health Nursing
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    • v.29 no.1
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    • pp.5-17
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    • 2015
  • Purpose: The purpose of this study was to demonstrate the moderating effect of smartphone addiction on the relationship between interpersonal problem and depression. Methods: From 21 to 30 May 2013, a convenience sample of 192 subjects was recruited. Research data were collected via questionnaires and analyzed using SPSS version 18.0. Results: Scores for female students were higher than those for male students in smartphone addiction, interpersonal peoblems and depression. The average BDI score was 6.6. There were 29(15.1%), 11(5.7%), 8(4.0%), and 6(3.1%) students with mild, moderate, and severe depression, respectively. Significant positive correlation between smartphone addiction, interpersonal problems and depression. The moderating effect of smartphone addiction on the relationship between interpersonal problems and depression was significant. Conclusion: Smartphone addiction plays a role as a moderating variable influencing the relationship between interpersonal problems and depression, and also increases the effect of interpersonal problems on depression. When developing depression prevention programs for college students, such programs should consider strategies to decrease smartphone addiction and increase direct interpersonal relationship, and female students in particular should be included in such programs.

The Moderating Effects of Self-Efficacy in the Relations of Family Relationship and Adolescent's Smartphone Addiction

  • Kim, Na-Ye
    • Journal of the Korea Society of Computer and Information
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    • v.26 no.4
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    • pp.197-202
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    • 2021
  • The main purpose of this study is to check whether the family relationship of adolescents has an impact on smartphone addiction and to verify of direct effects and moderating effects in according to self-efficacy. The survey was conducted to the adolescents who were second grade middle school students with 318 subjects in G metropolitan city. This study results found the followings: Family relationship and selfe-efficacy revealed direct influence on smartphone addiction. Moreover, the self-efficacy check the moderating effect of do family relationship on smartphone addiction. The results of this study are significant in that they demonstrated the influence of family relationship and self-effect on smartphone addiction and imply that self-efficacy can decrease or prevent smartphone addiction from family relationship problem.

The Correlation Between Smartphone Addiction and Sensory Processing Feature, Self-Efficacy in College Students (대학생의 스마트폰 중독과 감각처리특성 및 자기효능감의 상관관계)

  • Park, Youngju;Chang, Moonyoung
    • The Journal of Korean Academy of Sensory Integration
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    • v.13 no.2
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    • pp.43-51
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    • 2015
  • Objective : The purpose of this study was to investigate the correlation between smartphone addiction, sensory processing features and self-efficacy in college students. Methods : From June to August in 2015, a hundred eighty three healthy college students were completed the questionnaire for smartphone addiction (S-scale), sensory processing feature (Adolescent/ Adult Sensory Profile), and self-efficacy (Self-Efficacy Scale) and correlation analyses were applied. Results : There were significant differences on sensory registration and sensory sensitivity in sensory processing features between the addiction group and the non-addiction group. Significant correlations were found between smartphone addiction and sensory seeking, and smartphone addiction and self-efficacy. Conclusion : This study showed smartphone addiction had relationships with high sensory seeking and low self-efficacy. Thus, more studies and interventions focused on preventing smartphone addiction are required for college students.

Associations between Smartphone Addiction Proneness and Psychopathology (스마트폰중독과 정신병리 사이의 상관관계)

  • Lee, Sung-Jae;Kim, Borah;Choi, Tai Kiu;Lee, Sang-Hyuk;Yook, Ki-Hwan
    • Korean Journal of Biological Psychiatry
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    • v.21 no.4
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    • pp.161-167
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    • 2014
  • Objectives This study aims to investigate possible associations between proneness toward smartphone addiction and certain psychopathological variables to evaluate the psychopathological meaning of smartphone addiction. Methods Questionnaires were assigned to 755 adults between September and November 2012. We used the Korean Smartphone Addiction Proneness Scale (SAPS), the Beck Depression Inventory (BDI), the Beck Anxiety Inventory (BAI), the Obsessive-Compulsive Inventory-Revised (OCI-R), and the Barratt Impulsivity Scale-11 (BIS-11). Subjects were classified into two groups according to the scores of the SAPS ; the addiction proneness group and the normal-user group. Results The addiction proneness group had significantly higher scores than the normal-user group in the BDI, BAI, OCI-R, and BIS-11. The scores of the SAPS were positively correlated with the scores of the BDI, BAI, OCI-R, and BIS-11. Using logistic regression analysis, smartphone addiction proneness showed a significant association with BIS-11. Conclusions The results of this study suggest that smartphone addiction proneness may be associated with depression, anxiety, obsessive-compulsive symptoms, and impulsivity. Furthermore, impulsivity could be a vulnerability marker for smartphone addiction proneness.