Korean Smartphone Addiction Proneness Scale Research Articles

Exploring the role of cognitive fusion and experiential avoidance in predicting smartphone use among medical university students

We investigated the role of cognitive fusion and experiential avoidance in the relationship between stress and smartphone use. A total of 725 medical students completed self-reported questionnaires that consisted of the Korean Smartphone Addiction Proneness Scale, Perceived Stress Scale, Cognitive Fusion Questionnaire, and Acceptance and Action Questionnaire-II. The total and all subscale scores for smartphone use were positively correlated with stress, cognitive fusion, and experiential avoidance. Multiple regression analyses demonstrated that adding the two variables, namely, cognitive fusion and experiential avoidance, accounted for an additional 10% of the variance in smartphone use. However, only cognitive fusion was a significant predictor. Moreover, cognitive fusion and experiential avoidance individually played a mediating role in the relationship between stress and smartphone use. These findings suggest that the ACT may be an excellent paradigm to advance our understanding of smartphone addiction and the authorities in medical schools should consider intervention strategies of ACT, particularly mindfulness and cognitive defusion, for medical students with smartphone overuse.

RELATIONSHIP OF SMART PHONE ADDICTION WITH COGNITIVE AND EMOTIONS REGULATION: AN ANALYSIS AMONG PRE-SCHOOL CHILDREN

The current study sought to investigate the relationship between smartphone addiction and preschoolers' ability to regulate their emotions and cognition. A sample of N=110 preschoolers was selected using the purposive sampling method from the general community of Bahawalpur, Pakistan. The current study employed a cross-sectional research approach. Data was gathered using the Korean Smartphone Addiction Proneness Scale for Young Children by Kim and Lee (2014) and the cognitive Emotion Regulation Questionnaire (CERQ) kid's version by Garnefski et al. Version 21 of SPSS was used to evaluate the data. The study's hypotheses were tested using frequency distribution, descriptive statistics, bivariate correlation, and regression analysis. The findings indicated that smartphone addiction among preschoolers was high. It was shown that there was a substantial correlation between cognitive emotion management techniques and smartphone addiction. Rumination, positive reappraisal, perspective-taking, refocusing on planning, and positive refocusing were discovered to have a significant negative correlation with cognitive emotion regulation strategies, whereas self-blame, acceptance, catastrophizing, and other blame were discovered to have a significant positive correlation with smartphone addiction. Additionally, especially among preschoolers, smartphone addiction has a considerable impact on cognitive emotion management skills. Keywords: Smartphone Addiction, Cognitive Emotion Regulation Strategies, Preschool children.

스마트폰 중독경향성과 학업소진의 관계에서 수면의 질과 학업지연행동의 매개효과

Objectives The purpose of this study was to examine the mediating role of sleep quality and academic procrastination in relationship between smartphone addiction tendencies and academic burnout for university students.
 Methods The Self-report survey was conducted on 426 (under)graduate students. To measure the variables, the S-scale-A (Korean Smartphone Addiction Proneness Scale for Adults), SQS (The Sleep Quality Scale), API (Aitken Procrastination Inventory), and MBI-SS (Korean version of Maslach Burnout Inventory Student Survey) were included in the survey.
 Results The findings of this study showed that smartphone addiction tendencies, low sleep quality, academic procrastination, and academic burnout were all significantly correlated in a positive direction. Furthermore, the results indicated that low sleep quality and academic procrastination had a sequential mediating effect on the relationship between smartphone addiction tendencies and academic burnout.
 Conclusions The results specify the mediating role of low sleep quality and academic procrastination in relationship between smartphone addiction tendencies and academic burnout for (under)graduate students. Finally, the clinical implications, limitations of this study and future research directions were suggested.

Harm avoidance, daily stress, and problematic smartphone use in children and adolescents.

ObjectiveTemperament is close to susceptibility to stress and the increased level of stress may lead problematic smartphone use (PSU). In this study, the relationships between harm avoidance (HA) as a personality trait, daily traits, and PSU in children and adolescents were investigated.MethodsAt baseline, all participants (184 children and adolescents, mean age 13.15 years) completed questionnaires on PSU using the Smartphone Addiction Scale-Short Version (SAS-SV) and the Korean Smartphone Addiction Proneness Scale (SAPS). The Daily Hassles Questionnaire (DHQ) and Junior Temperament and Character Inventory (JTCI) were also administered to evaluate stress levels and personality traits. SAS-SV, SAPS, and DHQ were reassessed at 3 and 6 months.ResultsAmong JTCI temperament, HA displayed robust positive correlations with SAS-SV, SAPS, and DHQ at all time points. Mediation effects of daily stress on the relationship between HA and PSU were observed at baseline, 3, and 6 months.ConclusionThe findings suggest that managing stress may important in PSU children and adolescents with high HA.

Smartphone Addiction and Anxiety in Adolescents - A Cross-sectional Study.

Objectives: The overuse of smartphones affects physical, social, and psychological well-being. However, research on smartphone addiction and anxiety disorders is scarce. Therefore, the objective of this study was to investigate the association between anxiety and smartphone addiction risk in Korean adolescents. Methods: This study used a cross-sectional survey method. We used the Revised Children's Manifest Anxiety Scale to assess anxiety symptoms and we used the Korean Smartphone Addiction Proneness Scale index to evaluate the degree of high-risk or at-risk for smartphone addiction. Results: Analyses were performed for 1733 adolescents, including 771 boys and 962 girls. The high-risk or at-risk group for smartphone addiction accounted for 20.1% (p < .0001). Total anxiety scale score, as well as physiological anxiety, oversensitivity, and social concern categories were statistically different among levels of smartphone addiction risk (all ps < .0001). Multivariate analysis showed that poor self-reported health level, higher risk of smartphone addiction, having fewer close friends, caffeine drink consumption, female sex, and alcohol use were associated with greater anxiety. Conclusions: Management of smartphone addiction seems to be essential for proper psychological health. There is an urgent need to develop a way to prevent smartphone addiction on a social level.

Effectiveness of an mHealth Application to Overcome Problematic Smartphone Use: Comparing Mental Health of a Smartphone Control-Use Group and a Problematic-Use Group

We developed an mHealth application that can help alleviate the problematic use of smartphones and allied psychological symptoms. This study observed the change in patterns of users’ problematic smartphone use, depression, and anxiety while using the mHealth application. We conducted this study from 9 January to 10 April 2019. The Korean Smartphone Addiction Proneness Scale for Adults, Generalized Anxiety Disorder Scale, and the Patient Health Questionnaire were measured at week 0, 8, 12. A post hoc test of Repeated Measurement Anova analysis and Linear Mixed Model analysis were used. Overall, 190 participants were allocated into two groups. Sixty-six were in the smartphone control-use group and 124 were in the problematic-use group. The study elucidated the difference between the two groups in terms of problematic smartphone use and depression and anxiety after 13 weeks of using the mHealth application. This study showed the use of the mHealth application reducing problematic smartphone use scores and negative symptoms such as anxiety and depression in the PSU group. The results can be used as the basis for similar qualitative studies to further resolve the problematic use of smartphones.

Excessive Smartphone Use and Self-Esteem Among Adults With Internet Gaming Disorder: Quantitative Survey Study.

BackgroundSmartphone overuse can harm individual health and well-being. Although several studies have explored the relationship between problematic or excessive smartphone use and mental health, much less is known about effects on self-esteem, which is essential in having a healthy life, among adults with mental health disorders, including internet gaming disorder. Furthermore, given that smartphone usage differs by gender, little is known about gender differences in the relationship between smartphone overuse and self-esteem.ObjectiveThe objective of this study was to assess self-esteem among individuals with mental health disorders and explore the relationship with excessive smartphone use.MethodsParticipants were selected based on their responses to the internet gaming disorder assessment, which includes 9 items developed based on Diagnostic and Statistical Manual of Mental Disorders (Fifth Edition) criteria, from among a Korean cohort of smartphone users aged 20-40 years, resulting in a sample of 189 participants (men:120, women: 69). The Rosenberg self-esteem scale and the Korean smartphone addiction proneness scale were utilized to assess the outcome self-esteem with excessive smartphone use as the primary independent variable. Guided by the Bowlby attachment theory and prior studies, we selected several covariates. Generalized linear regression analyses, as well as subgroup analyses by gender, were performed.ResultsAmong adults with internet gaming disorder, the average Korean smartphone addiction proneness scale score was significantly higher in women than that in men (41.30 vs. 37.94; P=.001), and excessive smartphone use was significantly more prevalent in women than it was in men (30.43% vs. 20.83%; P=.02). Our findings from the generalized linear regression analyses indicated that an increase in Korean smartphone addiction proneness scale score had a negative relationship with self-esteem among those with internet gaming disorder (β=–0.18, P=.001). Furthermore, our interaction models showed that, among those with internet gaming disorder, more men than women had lower self-esteem associated with an increase in Korean smartphone addiction proneness scale score and a high degree of smartphone overuse (β=–0.19, P=.004; β=–3.73, P<.001).ConclusionsExcessive smartphone use was found to be adversely associated with self-esteem among young and middle-aged adults with internet gaming disorder; notably, more men than women were negatively influenced (regarding self-esteem) by smartphone overuse. Based on our findings, more efforts should be made to reduce excessive or problematic smartphone use by considering developing public health interventions or policy, particularly among those with mental health disorders such as internet gaming disorder.

Development of the Smartphone Addiction Risk Rating Score for a Smartphone Addiction Management Application.

Smartphone usage characteristics are useful for identification of the risk factors for smartphone addiction. Risk rating scores can be developed based on smartphone usage characteristics. This study aimed to investigate the smartphone addiction risk rating (SARR) score using smartphone usage characteristics. We evaluated 593 smartphone users using online surveys conducted between January 2 and January 31, 2019. We identified 102 smartphone users who were addicted to smartphones and 491 normal users based on the Korean Smartphone Addiction Proneness Scale for Adults. A multivariate logistic regression analysis was used to identify significant risk factors for smartphone addiction. The SARR score was calculated using a nomogram based on the significant risk factors. Weekend average usage time, habitual smartphone behavior, addictive smartphone behavior, social usage, and process usage were the significant risk factors associated with smartphone addiction. Furthermore, we developed the SARR score based on these factors. The SARR score ranged between 0 and 221 points, with the cut-off being 116.5 points. We developed a smartphone addiction management application using the SARR score. The SARR score provided insights for the development of monitoring, prevention, and prompt intervention services for smartphone addiction.

Relationship between Intertemporal Choice and Smartphone Use in Nursing Student in 20s

Objectives ： The purpose of this study was to investigate the status of smartphone use among nursing students and the relationship between smartphone addiction, intertemporal choice, and other psychological status. Methods ： Ninety six nursing students were subjected to the following tests: the Korean Smartphone Addiction Proneness Scale for Adults (KSAPS), the Delay Discounting Task (DDT), the Big Five Inventory- K-10 (BFI-K-10), the Korean the Center for Epidemiologic Studies Depression Scale (CES-D), the Barratt Impulsiveness Scale (BIS) and the State-Trait Anxiety Inventory (STAI). Results ： Among the nursing students, smartphone daily use duration and DDT negatively correlated, and extraversion scores positively correlated with smartphone daily use duration and negatively correlated with 30 days, 180 days, and 365 days indifferent points. Smartphone daily use duration and KSAPS negatively correlated with conscientiousness and positively correlated with depression, impulsivity, and STAI scores. Depression was also positive associated with neuroticism, impulsivity, and STAI scores. Conclusion : In this study, we found the selection of intertemporal choice, the difference of negative emotions and personality traits in the nursing students group was related to the level of smartphone addiction. These results will be used as basic data for understanding the characteristics of high risk groups with smartphone addiction and developing effective coping and addiction prevention programs.

Types of problematic smartphone use based on psychiatric symptoms

To provide appropriate solutions for problematic smartphone use, we need to first understand its types. This study aimed to identify types of problematic smartphone use based on psychiatric symptoms, using the decision tree method. We recruited 5,372 smartphone users from online surveys conducted between February 3 and February 22, 2016. Based on scores on the Korean Smartphone Addiction Proneness Scale for Adults (S-Scale), 974 smartphone users were assigned to the smartphone-dependent group and 4398 users were assigned to the normal group. The data-mining technique of C5.0 decision tree was applied. We used 15 input variables, including demographic and psychological factors. Four psychiatric variables emerged as the most important predictors: self-control (Sc; 66%), anxiety (Anx; 25%), depression (Dep; 7%), and dysfunctional impulsivities (Imp; 3%). We identified the following five types of problematic smartphone use: (1) non-comorbid, (2) self-control, (3) Sc+Anx, (4) Sc+Anx+Dep, and (5) Sc+Anx+Dep+Imp. We found that 74% of smartphone-dependent users had psychiatric symptoms. The ratio of participants belonging to the non-comorbid and self-control types was 64%. We proposed that these types of problematic smartphone use may be used for the development of an appropriate service for controlling and preventing such behaviors in adults.

Smartphone addiction risk and daytime sleepiness in Korean adolescents.

Smartphone overuse can cause not only mobility problems in the wrists, fingers and neck but also interference with sleep habits. However, research on smartphone addiction and sleep disturbances is scarce. Therefore, we aimed to investigate daytime sleepiness in association with smartphone addiction risk in Korean adolescents. A cross-sectional survey method was used in this study. The Pediatric Daytime Sleepiness Scale was used to assess daytime sleepiness, and the Korean Smartphone Addiction Proneness Scale index was used to evaluate the degree of risk for smartphone addiction. The analyses were performed in 1796 adolescents using smartphones, including 820 boys and 976 girls. The at-risk smartphone users made up 15.1% of boys and 23.9% of girls. Our multivariate analyses demonstrated that students who were female, consumed alcohol, had lower academic performance, did not feel refreshed in the morning and initiated sleep after 12 am were at a significantly higher risk of smartphone addiction. The at-risk smartphone user group was independently associated with the upper quartile Pediatric Daytime Sleepiness Scale score in students with the following factors: Female gender, alcohol consumption, poor self-perceived health level, initiating sleep after 12 am, longer time taken to fall asleep and duration of night sleep less than 6 h. The quality of sleep in adolescence affects growth, emotional stability and learning skills. Therefore, the management of smartphone addiction seems to be essential for proper sleeping habits. There is a critical need to develop a means of preventing smartphone addiction on a social level.

A Preliminary Study on the Effectiveness of the Peer Relationship Enhancement Program in Adolescents at Risk for Internet and Smartphone Addiction.

Objectives:The purpose of this study is to evaluate the preliminary effects of the Peer Relationship Enhancement Program in adolescents deemed to be in an at-risk group for Internet and smartphone addiction.Methods:The study group consisted of 33 adolescent participants (24 boys and 9 girls) at risk of Internet and smartphone addiction in small and medium-sized cities. The subjects participated in 8 consecutive sessions of the Peer Relationship Enhancement Program. The Korean Internet Addiction Proneness Scale, the Korean Smartphone Addiction Proneness Scale, the Real-Ideal Self Discrepancy Scale, the UCLA Loneliness Scale, the Peer Intimacy Scale, and the Escaping from the Self Scale were evaluated before the initial and after the final session. A paired t-test was performed to statistically analyze the data.Results:The Peer Relationship Enhancement Program led to a significant decrease (p<0.05) in self-reported measures of The Korean Internet Addiction Proneness Scale, the Korean Smartphone Addiction Proneness Scale, and the Real-Ideal Self Discrepancy Scale.Conclusion:The Peer Relationship Enhancement Program reduces the risk of Internet and smartphone addiction and effectively prevents the associated problems.

Associations between smartphone addiction scale and sociopsychological aspects in medical school students

Background: Smartphone addiction, academic stress and anxiety of university students are increasing gradually; however, few studies have investigated these factors in medical school students. Therefore, this study investigated associations between smartphone addiction scale and sociopsychological aspects in medical school students. Methods: A total of 231 Yeungnam University College of Medicine students were enrolled in this study in March 2017. Gender, school grade, type of residence, and smartphone usage patterns of the students were surveyed. The Korean Smartphone Addiction Proneness Scale and each Korean version scale were used to assess sociopsychological aspects such as loneliness, stress and anxiety. Results: There was a direct statistical correlation between loneliness, stress of negative perception, anxiety and smartphone addiction scales. There was also a negative statistical correlation between stress of positive perception and smartphone addiction scales. There was a higher level of anxiety among female students than male students. Additionally, there was a higher level of stress associated with negative perception and anxiety among medical students in the first grade than other students. Moreover there was a higher level of loneliness, stress of negative perception and anxiety among students who live with friends than students who live with their own family. Conclusion: Smartphone addiction scale and sociopsychological aspects significantly correlated. Moreover, the results suggest that female medical students in the first grade who have been separated from their family need more attention and management of loneliness, stress and anxiety to avoid smartphone addiction.

Smartphone dependence classification using tensor factorization.

Excessive smartphone use causes personal and social problems. To address this issue, we sought to derive usage patterns that were directly correlated with smartphone dependence based on usage data. This study attempted to classify smartphone dependence using a data-driven prediction algorithm. We developed a mobile application to collect smartphone usage data. A total of 41,683 logs of 48 smartphone users were collected from March 8, 2015, to January 8, 2016. The participants were classified into the control group (SUC) or the addiction group (SUD) using the Korean Smartphone Addiction Proneness Scale for Adults (S-Scale) and a face-to-face offline interview by a psychiatrist and a clinical psychologist (SUC = 23 and SUD = 25). We derived usage patterns using tensor factorization and found the following six optimal usage patterns: 1) social networking services (SNS) during daytime, 2) web surfing, 3) SNS at night, 4) mobile shopping, 5) entertainment, and 6) gaming at night. The membership vectors of the six patterns obtained a significantly better prediction performance than the raw data. For all patterns, the usage times of the SUD were much longer than those of the SUC. From our findings, we concluded that usage patterns and membership vectors were effective tools to assess and predict smartphone dependence and could provide an intervention guideline to predict and treat smartphone dependence based on usage data.

Risk Factors for Smartphone Addiction in Korean Adolescents: Smartphone Use Patterns

With widespread use of the smartphone, clinical evidence for smartphone addiction remains unclear. Against this background, we analyzed the effect of smartphone use patterns on smartphone addiction in Korean adolescents. A total of 370 middle school students participated. The severity of smartphone addiction was measured through clinical interviews and the Korean Smartphone Addiction Proneness Scale. As a result, 50 (13.5%) were in the smartphone addiction group and 320 (86.5%) were in the healthy group. To investigate the effect of smartphone use patterns on smartphone addiction, we performed self-report questionnaires that assessed the following items: smartphone functions mostly used, purpose of use, problematic use, and parental attitude regarding smartphone use. For smartphone functions mostly used, the addiction group showed significantly higher scores in “Online chat.” For the purpose of use, the addiction group showed significantly higher “habitual use,” “pleasure,” “communication,” “games,” “stress relief,” “ubiquitous trait,” and “not to be left out.” For problematic use, the addiction group showed significantly higher scores on “preoccupation,” “tolerance,” “lack of control,” “withdrawal,” “mood modification,” “conflict,” “lies,” “excessive use,” and “loss of interest.” For parental attitude regarding children's smartphone use, the addiction group showed significantly higher scores in “parental punishment.” Binary logistic regression analysis indicated that “female,” “use for learning,” “use for ubiquitous trait,” “preoccupation,” and “conflict” were significantly correlated with smartphone addiction. This study demonstrated that the risk factors for smartphone addiction were being female, preoccupation, conflict, and use for ubiquitous trait; the protective factor was use for learning. Future studies will be required to reveal the additional clinical evidence of the disease entity for smartphone addiction.

Personality Factors Predicting Smartphone Addiction Predisposition: Behavioral Inhibition and Activation Systems, Impulsivity, and Self-Control.

The purpose of this study was to identify personality factor-associated predictors of smartphone addiction predisposition (SAP). Participants were 2,573 men and 2,281 women (n = 4,854) aged 20–49 years (Mean ± SD: 33.47 ± 7.52); participants completed the following questionnaires: the Korean Smartphone Addiction Proneness Scale (K-SAPS) for adults, the Behavioral Inhibition System/Behavioral Activation System questionnaire (BIS/BAS), the Dickman Dysfunctional Impulsivity Instrument (DDII), and the Brief Self-Control Scale (BSCS). In addition, participants reported their demographic information and smartphone usage pattern (weekday or weekend average usage hours and main use). We analyzed the data in three steps: (1) identifying predictors with logistic regression, (2) deriving causal relationships between SAP and its predictors using a Bayesian belief network (BN), and (3) computing optimal cut-off points for the identified predictors using the Youden index. Identified predictors of SAP were as follows: gender (female), weekend average usage hours, and scores on BAS-Drive, BAS-Reward Responsiveness, DDII, and BSCS. Female gender and scores on BAS-Drive and BSCS directly increased SAP. BAS-Reward Responsiveness and DDII indirectly increased SAP. We found that SAP was defined with maximal sensitivity as follows: weekend average usage hours > 4.45, BAS-Drive > 10.0, BAS-Reward Responsiveness > 13.8, DDII > 4.5, and BSCS > 37.4. This study raises the possibility that personality factors contribute to SAP. And, we calculated cut-off points for key predictors. These findings may assist clinicians screening for SAP using cut-off points, and further the understanding of SA risk factors.

The Effect of Home-based Daily Journal Writing in Korean Adolescents with Smartphone Addiction.

Despite the benefits of smartphones, many adverse effects have emerged. However, to date, there was no particular approach to treat or prevent smartphone addiction. The aim of this study was to evaluate the therapeutic effectiveness of a home-based daily journal of smartphone use (HDJ-S) in Korean adolescents. Three hundred thirty five middle school students participated in this study. The severity of smartphone addiction was measured using the Korean Smartphone Addiction Proneness Scale. The ability to control smartphone use was evaluated with the Motive Scale for Smartphone Regulation. We used the Parents’ Concerns for Children’s Smartphone Activities Scale to measure parental monitoring and supervision of adolescents’ smartphone activities. The Korean Smartphone Addiction Proneness Scale classified subjects into high risk and non-high risk for smartphone addiction, according to total scores. Forty six participants (14%) were high risk for smartphone addiction. The high risk group performed the HDJ-S for two weeks, and the same scales were subsequently assessed. After performing the HDJ-S, the total scores of the Korean Smartphone Addiction Proneness Scale decreased significantly in the high risk group (P < 0.001). There was a significant increase in the total scores of the Parents’ Concerns for Children’s Smartphone Activities Scale in the high risk group between baseline and following two weeks of treatment (P < 0.05). The HDJ-S was effective for adolescents with smartphone addiction and increased the parents’ concerns for their children’s smartphone activities. We suggested that HDJ-S would be considered as a treatment and prevention for smartphone addiction.

Subjective Symptom of Visual Display Terminal Syndrome and State Anxiety in Adolescent Smartphone Users

The objectives of this study were: 1) to determine smartphone addiction, visual display terminal syndrome (VDTS) related symptoms, and state anxiety among adolescents, and 2) to identify the relationship among these variables. Data were collected via selfadministrated questionnaire survey from May to June, 2013. The survey was carried out with 540 voluntary participants at 13 to 24 years old from middle schools, high schools, and universities in Korea. The presence and severity of smartphone addiction, VDTS symptoms, and state anxiety were measured using Korean Smartphone Addiction Proneness Scale, VDTS Questionnaire, and State Anxiety Inventory, respectively. Data were analyzed by Cohen’s Kappa coefficient, Kruskal-Wallis test, and Mann-Whitney U test. The mean score of smartphone addiction for all students was 2.17 ± 0.51. The mean scores of smartphone addiction depending on school grade were 2.12 ± 0.53, 2.03 ± 0.48, and 2.42 ± 0.43 for middle school, high school, and college students, respectively. Subjects who experienced minor level of VDTS symptoms had a score of 0.49 ± 0.49 for VDTS symptoms. The score was increased when the level of addiction was higher. There were significant differences in VDTS subjective symptoms among smartphone addiction groups (p<.001). High-risk group of smartphone addiction had the highest scores in every subdomain of VDTS symptoms. Differences were also found in state anxiety among the three groups with smartphone addiction. The findings of this study showed that approximately one out of three adolescents might be classified into problematic smartphone users. Therefore, it is important to educate problematic smartphone users about smartphone addiction and VDTS symptoms to prevent further addiction and aggravation of anxiety.

소셜네트워크서비스를 이용하는 대학생들의 스마트폰 중독과 대인관계능력의 관계

본 연구는 스마트폰을 통해 소셜네트워크서비스(SNS)를 이용하는 대학생들의 스마트폰 중독정도와 대인관계능력간의 관계를 파악하기 위한 서술적 조사연구이다. 연구대상자는 전국 6개 지역 대학에 재학 중인 대학생 502명이며, 2012년 5월부터 6월 사이에 성인 스마트폰 중독 자가진단척도와 대인관계능력 검사지를 이용하여 자료를 수집하였다. 자료분석은 기술통계와 <TEX>${\chi}^2$</TEX>-test, t-test, ANOVA, Pearson correlation coefficient를 이용하였다. SNS 이용자의 스마트폰 중독정도는 중독군이 24.8%, 일반군이 75.2%였다. SNS 이용자 가운데 스마트폰 중독집단과 일반집단의 대인관계능력은 차이가 없었으나, 하위영역 중 자기노출 능력은 중독집단이 일반집단보다 더 높게 나타났다. 그리고 스마트폰 중독 하위영역 중 가상세계지향성이 높을수록 대인관계능력이 낮았고, 스마트폰 중독정도가 높을수록 대인관계능력 하위영역 중 대인갈등 다루기 능력이 낮게 나타났다. 본 연구 결과는 대학생들의 스마트폰 중독예방 및 대인관계능력 증진을 위한 프로그램 개발에 활용될 수 있을 것이다. The purpose of this study was to investigate the relation between smartphone addiction and interpersonal competence of college students using social network service(SNS) through smartphones. This study used a descriptive study design. The convenience sample consisted of 502 college students in six cities. The data were collected from May to June in 2012 using Korean Smartphone Addiction Proneness Scale and Interpersonal Competence Questionnaire. Descriptive statistics, <TEX>${\chi}^2$</TEX>-test, t-test, analysis of variance, and Pearson correlation coefficient were used to analyze the data. The results showed that 24.8% of SNS users were considered as a risk group, while 75.2% were normal user group. There were no significant differences of interpersonal competence between risk group and normal user group in the SNS users. However, risk group had higher self-disclosure scores than normal user group. The subjects who had higher scores for virtual life, one of smartphone addiction subdomains, had lower interpersonal competence and those with higher smartphone addiction scores showed lower score of managing interpersonal conflict in subdomains of interpersonal competence. These findings would contribute in development of preventive interventions for smartphone addiction and improvement program for interpersonal competence in college students.

Development of Korean Smartphone addiction proneness scale for youth.

This study developed a Smartphone Addiction Proneness Scale (SAPS) based on the existing internet and cellular phone addiction scales. For the development of this scale, 29 items (1.5 times the final number of items) were initially selected as preliminary items, based on the previous studies on internet/phone addiction as well as the clinical experience of involved experts. The preliminary scale was administered to a nationally representative sample of 795 students in elementary, middle, and high schools across South Korea. Then, final 15 items were selected according to the reliability test results. The final scale consisted of four subdomains: (1) disturbance of adaptive functions, (2) virtual life orientation, (3) withdrawal, and (4) tolerance. The final scale indicated a high reliability with Cronbach's α of .880. Support for the scale's criterion validity has been demonstrated by its relationship to the internet addiction scale, KS-II (r = .49). For the analysis of construct validity, we tested the Structural Equation Model. The results showed the four-factor structure to be valid (NFI = .943, TLI = .902, CFI = .902, RMSEA = .034). Smartphone addiction is gaining a greater spotlight as possibly a new form of addiction along with internet addiction. The SAPS appears to be a reliable and valid diagnostic scale for screening adolescents who may be at risk of smartphone addiction. Further implications and limitations are discussed.