• Title/Summary/Keyword: addiction to smartphone

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Analysis of Major Factors Related to Smartphone Addiction According to Gender Differences in Health College Students (보건계열 대학생들의 성별 차이에 따른 스마트폰 중독 관련 주요 요인 분석)

  • Choo, Yeon-Ki;Bae, Won-Sik;Kim, Hae-In
    • Journal of The Korean Society of Integrative Medicine
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    • v.10 no.2
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    • pp.135-143
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    • 2022
  • Purpose : This study was to compare and analyze major factors related to smartphone addiction according to the gender of health-related college students. Methods : 720 people who voluntarily participated and agreed to fill out the questionnaire were randomly sampled. Smartphone addiction was measured using the Smartphone Addiction Scale Short Version (SAS-SV), sleep quality was measured using the Pittsburgh Sleep Quality Index (PSQI), anxiety symptoms were measured using the self-assessment anxiety scale (SAS), and depression symptoms were measured using the self-assessment depression scale (SDS). In addition, the age of each individual and the main function of smartphone use were also investigated. Results : The prevalence of smartphone addiction was higher among female students than male students (p<.05), while male students mainly played games and female students mainly used multimedia (video/music) viewing and social networking services (p<.05). In addition, male students showed a high association with smartphone addiction in the group where games were the main function of smartphone use, the group with low sleep quality, and the group with anxiety symptoms (p<.05), but for female students, multimedia (video/music) Or, the group in which social networking service is the main function of smartphone use, the group with low sleep quality, and the group with symptoms of anxiety and depression showed a high correlation with smartphone addiction (p<.05). Conclusion : It is expected that the results of this study will be used as basic data for providing customized solutions considering the characteristics of smartphone addicts.

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.

The Effects of Self-Esteem, Ego Resilience, Impulsivity and Stress on Smartphone Addiction among College Students (대학생의 자아 존중감, 자아탄력성, 충동성, 스트레스가 스마트폰 중독에 미치는 영향)

  • Kim, Jong-Im
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.7
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    • pp.192-202
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    • 2019
  • This study was a descriptive study to investigate the factors influencing on self-esteem, ego resilience, impulsivity and life stress on smartphone addiction among college students. The subjects include college students in some areas. Data was collected in November and December, 2018. Total 231 college students were analyzed in the study. Collected data was analyzed in frequency, percentage, and t-test to examine differences in smartphone addiction according to general characteristics. Pearson's correlation was performed to examine correlations between smartphone addiction and main variables, and the factors influencing smartphone addiction were analyzed in multiple regression. The findings show that genera, satisfaction with college life, hours of using a smartphone, hours of using SNS, ego resilience, impulsivity, and life stress had significant effects on smartphone addiction. The study examined relations between general characters and smartphone addiction and found that the level of smartphone addiction was high in female college students, those who were not satisfied with college life, and used a smartphone and SNS for many hours. Ego resilience had negative correlations with smartphone addiction, and impulsivity and life stress had positive correlations with it. Multi-variate regression analysis results show that gender, ego resilience, and life stress were factors that had important influences on the smartphone addiction of college students, having explanatory power of 35.6%. In short, colleges and universities need to develop a school-level program to improve the college life of students and reduce their stress to the minimum and create an environment of encouraging them to grow power of controlling their lives so that they can prevent smartphone addiction.

Exploring the Relation of Smartphone Addiction and Musculoskeletal Pain in the Neck, Trunk, and Upper Limbs: A Cross-sectional Study

  • Yixin Wang;Ye-Jin Kim;Kyeong-Ah Moon;Joo-Hee Park;Hye-Seon Jeon
    • Physical Therapy Korea
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    • v.30 no.3
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    • pp.211-220
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    • 2023
  • Background: Smartphone addiction has emerged as a significant social problem. Numerous studies have indicated the association between smartphone use and discomfort in the musculoskeletal system of the upper extremities. Objects: This cross-sectional survey aimed to compare the characteristics of musculoskeletal pain in the neck, trunk, and upper limbs between individuals with smartphone addiction and those without addiction. Methods: We collected a total of 326 healthy individuals' data from China and Korea who had owned and used smartphones for more than 5 years between 20-50s through an online questionnaire consisting of 84 questions in four major sections. The first part contained basic information on the participant's personal characteristics and smartphones. The second part contained questions about smartphone use and posture. The third part was the smartphone addiction. The fourth part was to investigate musculoskeletal pain in various upper body parts. Results: Smartphone addiction has a weak negative correlation with age (r = -0.20, p < 0.01) and a weak positive correlation with the hours of smartphone use (r = 0.376, p < 0.01). Frequent musculoskeletal pain symptoms related to smartphone use were observed in the neck, shoulder, lower back, and wrists. The hours of smartphone use was slightly positively associated with the prevalence of musculoskeletal pain in the shoulder (r = 0.162, p < 0.05) and lower back (r = 0.125, p < 0.05). The prevalence of musculoskeletal pain in the neck (χ2 = 3.993, p < 0.05), shoulder (χ2 = 6.465, p < 0.05), and wrist (χ2 = 4.645, p < 0.05) was significantly higher among females than males. Conclusion: The results suggest that smartphone addiction should be recognized as a dual concern encompassing both physical health and psychosocial aspects. Furthermore, healthcare professionals, including physicians and physical therapists, should consider clients' smartphone usage patterns when assessing and treating with musculoskeletal pain.

A Study of on the influence of techno-stress, flow and smartphone addiction on the Satisfaction of Smart-phones use (대학생들의 테크노스트레스, 플로우, 스마트폰 중독이 스마트폰 사용만족에 미치는 영향)

  • Park, Jongsoon;Lee, Jongman
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.11 no.4
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    • pp.189-202
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    • 2015
  • This paper is focused on the investigation of the negative factors from smart-phone as internal affecting the use of smartphone and found their relationship. For the validation of this study model, 300 university students randomly selected in Seoul and Gyeongnam province. The measurement model was evaluated by using SPSS 18.0, and the evaluated result was summarized as follows. First, it was found that the techno-stress of smartphone user significantly associated with the fun and pleasure felt from using smatphone. It was assumed that a higher techno-stress negatively affects fun and pleasure from using smartphone. Second, the techno-stress of smartphone users was found to affect smartphone addiction. This means that more techno-stress users feel as they use smartphone, the more tendency to smartphone addiction. Third, flow was significantly associated with the smartphone addiction. Forth, Flow was significantly associated with satisfaction of the smartphones use. Fifth, it was indicated that when users had more flow and addiction from using smartphone, their satisfaction level was also higher.

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 Factors Influencing College Students' Smartphone Addiction

  • Kim, Kyung Ho
    • Journal of the Korea Society of Computer and Information
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    • v.25 no.4
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    • pp.173-181
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    • 2020
  • The objective of the present study was to identify the factors influencing the smartphone addiction among college students and to obtain basic information in terms of enhancing proper use of the smartphone. Based on the previous literature with constructs of depression, aggression, self-control and smartphone addiction, a research model was prepared. A total of 332 students were selected from 5 universities in G Metropolitan City and collected data were analyzed through hierarchical multiple regression. The major results of the study were as follows. First, self-control was the most powerful predictor of smartphone addiction. Second, anger caused smartphone addiction to increase whereas social experience caused smartphone addiction to decrease. Third, depression did not cause smartphone addiction to increase. Finally, implications for preventing and decreasing the smartphone addiction among college students were also provided.

Mediating Effect of Self-Efficacy between Aggressiveness and Smartphone Addiction in Adolescents (청소년의 공격성과 스마트폰중독 관계에서 자기효능감의 매개효과)

  • Park, Ki-Hee;Park, Eun-Min
    • The Journal of the Korea Contents Association
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    • v.20 no.7
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    • pp.516-524
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    • 2020
  • The purpose of this study was conducted to test mediating effects of self-efficacy in the relationship between aggressiveness and smartphone addiction in adolescents. A self-reprting survey was conducted on 665 adolescents. The research findings are as follows: First, there were significant correlations among aggressiveness, smartphone addiction, self-efficacy. Aggressiveness had positively correlations with smartphone addiction. Aggressiveness had a negative correlation with self-efficacy and smartphone addiction had negatively correlation with self-efficacy. Secondly, self-efficacy had a significant partial mediating effect between aggressiveness and smartphone addiction. Based on the results of this study, that the improvement of youth self-efficacy influence on the prevention and solution of smartphone addiction was discussed.

Effectiveness of Smartphone Addiction Intervention for University Students: A Systematic Review and Meta Analysis (대학생 스마트폰 중독 중재프로그램의 효과: 체계적 문헌고찰 및 메타분석)

  • Kwon, Myung Soon;Han, Suk Jung;Yeun, Young Ran
    • Journal of the Korea Convergence Society
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    • v.11 no.5
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    • pp.399-412
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    • 2020
  • This study aimed to evaluate the effectiveness of smartphone addiction interventions among university students. Selection criteria included university students, smartphone addiction interventions, smartphone addiction, depression, anxiety, self-control and time of smartphone usage. A total of 915 articles were retrieved. From those, 15 studies from 13 articles fulfilled the inclusion criteria. A meta-analysis showed that smartphone addiction interventions undergone by university students had statistical significance in alleviating smartphone addiction (d=-1.57, 95% CI:-2.84, -0.30), depression (d=-3.73, 95% CI:-4.97, -2.48), and self-control (d=7.28, 95% CI:2.76, 11.79); but were not significantly effective in improving anxiety and reducing time of smartphone usage. The systematic review and meta-analysis suggested that smartphone addiction interventions boost the alleviation of smartphone addiction. However, it remains necessary to conduct well-designed randomized controlled trials, including the consideration of various cultural characteristics.

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.