Development of Internet Addiction Proneness Scale-Short Form(KS scale)

Kim, Dong-Il; 조영미,; DongMinKim,; 이은아,; 정여주,

doi:10.15703/kjc.9.4.200812.1703

Cited by 56 publications

(9 citation statements)

References 4 publications

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“…This scale was a self-assessment tool developed as a short form of the K -scale considering it was too long for children to fill out and hardly reflected the characteristics appropriately in Korea [12]. It consisted of 20 questions for each of the four categories assessing Internet addiction from ‘never true’ to ‘always true.’ Therefore, the IAS score was obtained by summing the individual values of the answers to the 20 questions.…”

Section: Methodsmentioning

confidence: 99%

The association between parental depression and adolescent’s Internet addiction in South Korea

et al. 2018

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BackgroundA number of risk factors for Internet addiction among adolescents have been identified to be associated with their behavior, familial, and parental factors. However, few studies have focused on the relationship between parental mental health and Internet addiction among adolescents. Therefore, we investigated the association between parental mental health and children’s Internet addiction by controlling for several risk factors.MethodsThis study used panel data collected by the Korea Welfare Panel Study in 2012 and 2015. We focused primarily on the association between Internet addiction which was assessed by the Internet Addiction Scale (IAS) and parental depression which was measured with the 11-item version of the Center for Epidemiologic Studies Depression Scale. To analyze the association between parental depression and log-transformed IAS, we conducted multiple regression analysis after adjusting for covariates.ResultsAmong 587 children, depressed mothers and fathers comprised 4.75 and 4.19%, respectively. The mean IAS score of the adolescents was 23.62 ± 4.38. Only maternal depression (β = 0.0960, p = 0.0033) showed higher IAS among children compared to nonmaternal depression. Strongly positive associations between parental depression and children’s Internet addiction were observed for high maternal education level, adolescents’ gender, and adolescent’s academic performance.ConclusionsMaternal depression is related to children’s Internet addiction; particularly, mothers who had graduated from the university level or above, male children, and children’s normal or better academic performance show the strongest relationship with children’s Internet addiction.

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Section: Methodsmentioning

confidence: 99%

The association between parental depression and adolescent’s Internet addiction in South Korea

et al. 2018

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“…To assess PIU, the Internet Addiction Proneness Scale for Youth-Short Form (KS scale) developed by Kim et al 33 was used. The KS scale is a 20-item self-report scale rated on a 4-point Likert scale (1=never, 2 = sometimes, 3=often, or 4= always).…”

Section: Assessmentmentioning

confidence: 99%

<p>What Types of Internet Services Make Adolescents Addicted? Correlates of Problematic Internet Use</p>

Kim

Choi

et al. 2020

NDT

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Purpose: This study investigated the prevalence and correlates of problematic internet use (PIU) in a large sample of adolescents based on the type of internet service used. Materials and Methods: The study was conducted from 2008 to 2010, and 223,542 adolescents aged 12 to 18 years participated in the study. The participants responded to a self-report questionnaire including items for demographic factors, internet usage time, most used internet service and mental health. The PIU was assessed with the Internet Addiction Proneness Scale for Youth-Short Form. Results: The overall prevalence rate of PIU was 5.2%, and the prevalence rates stratified by sex were 7.7% in boys and 3.8% in girls. The distribution of most used internet services was significantly different across sexes. The most commonly used internet services were gaming (58.1%) in boys and blogging (22.1%) and messenger/chatting (20.3%) in girls. The odds ratio for PIU was significantly different according to the most used internet service; using the internet mostly for pornography compared to information searching had the highest odds ratio (4.526-fold higher). Depressive episodes, suicidal ideation, and suicidal attempts were significantly associated with higher odds ratios for PIU (1.725-, 1.747-and 1.361-fold, respectively). Conclusion: The present study identified clinically important information about PIU in adolescents. The distribution of PIU has different patterns based on sex and specific internet services. Studies of PIU with well-defined methodology and assessment tools for PIU of each specific internet service are needed.

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“…The short form of the K-Scale, as employed in this study, demonstrated excellent internal consistency with Cronbach’s alpha values of 0.89 for elementary school students and 0.91 for middle school students. 19 …”

Section: Methodsmentioning

confidence: 99%

Impact of Mobile Neurofeedback on Internet Addiction and Neurocognitive Function in Neurotypical Children: Double-Blind, Sham-Controlled Randomized Clinical Trial

Choi,

Yang,

Kim

2024

NDT

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Objective The purpose of this study was to evaluate the positive impact of mobile neurofeedback (MNF) in neurotypical children compared to sham mobile neurofeedback. Methods Neurotypical children aged 10–15 participated in the study. All subjects were assessed using the Kiddie Schedule for Affective Disorders and Schizophrenia Present and Lifetime Version Korean Version (K-SADS-PL-K) and confirmed to have no psychiatric symptoms. The participants were randomly assigned to the MNF active (N=31) or sham control (N=30) groups. The MNF program was administered using a mobile app for 30 min/day, 3 days/week, for 3 months. All participants and their parents completed self-report scales and participants complete neurocognitive function assessments including the continuous performance test, Stroop, children’s color trails test-1 and 2, and intelligence test at baseline and after the 3-month MNF program. Results This study involved 61 participants (mean [SD] age, 11.24 [1.84] years; 30 male participants [49.2%]). To verify the difference between the MNF group and the sham group, 2(MNF-Sham) X 2(Pre-Post) repeated measures ANOVA was performed. The main effect of the K-scale (Korea Internet addiction scale) between-group factor (MNF vs Sham) was not significant, but the main effect of the within-group factor (Pre vs Post) was significant (F=7.595, p=0.008). The interaction effect of between-group factors and within-group factors was also significant (F=5.979, p=0.017). In other self-reported scales of children and parents and neurocognitive function assessments, there was no significant difference between the two groups. Conclusion Active mobile neurofeedback significantly improved children’s K-scale score compared to the sham group. Therefore, mobile neurofeedback could be an easy-to-access therapeutic option for children at risk of Internet addiction. On the other hand, there was no significant difference in other scales and neurocognitive function. A 3-month intervention may not have been long enough to cause change, so longer interventions are needed for confirmation.

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Development of Internet Addiction Proneness Scale-Short Form(KS scale)

Cited by 56 publications

References 4 publications

The association between parental depression and adolescent’s Internet addiction in South Korea

The association between parental depression and adolescent’s Internet addiction in South Korea

<p>What Types of Internet Services Make Adolescents Addicted? Correlates of Problematic Internet Use</p>

Impact of Mobile Neurofeedback on Internet Addiction and Neurocognitive Function in Neurotypical Children: Double-Blind, Sham-Controlled Randomized Clinical Trial

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