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Ki Sook Kim 2 Articles
A Prediction Model for Internet Game Addiction in Adolescents: Using a Decision Tree Analysis
Ki Sook Kim, Kyung Hee Kim
J Korean Acad Nurs 2010;40(3):378-388.   Published online June 30, 2010
DOI: https://doi.org/10.4040/jkan.2010.40.3.378
AbstractAbstract PDF
Purpose

This study was designed to build a theoretical frame to provide practical help to prevent and manage adolescent internet game addiction by developing a prediction model through a comprehensive analysis of related factors.

Methods

The participants were 1,318 students studying in elementary, middle, and high schools in Seoul and Gyeonggi Province, Korea. Collected data were analyzed using the SPSS program. Decision Tree Analysis using the Clementine program was applied to build an optimum and significant prediction model to predict internet game addiction related to various factors, especially parent related factors.

Results

From the data analyses, the prediction model for factors related to internet game addiction presented with 5 pathways. Causative factors included gender, type of school, siblings, economic status, religion, time spent alone, gaming place, payment to Internet cafe@, frequency, duration, parent's ability to use internet, occupation (mother), trust (father), expectations regarding adolescent's study (mother), supervising (both parents), rearing attitude (both parents).

Conclusion

The results suggest preventive and managerial nursing programs for specific groups by path. Use of this predictive model can expand the role of school nurses, not only in counseling addicted adolescents but also, in developing and carrying out programs with parents and approaching adolescents individually through databases and computer programming.

Citations

Citations to this article as recorded by  
  • Factors influencing smartphone overdependence among adolescents
    Dabok Noh, Mi-So Shim
    Scientific Reports.2024;[Epub]     CrossRef
  • Effects of practical hobbies on children’s device usage and media addiction in Korea
    Eunjoo Hong, Junho Ryu
    Journal of Human Behavior in the Social Environment.2022; 32(6): 812.     CrossRef
  • The effect of internet game behavior monitoring on college students: Focusing on visual feedback
    Changmin Keum, Dongil Kim
    Current Psychology.2022; 41(6): 3339.     CrossRef
  • From the Hands of an Early Adopter’s Avatar to Virtual Junkyards: Analysis of Virtual Goods’ Lifetime Survival
    Kamil Bortko, Patryk Pazura, Juho Hamari, Piotr Bartków, Jarosław Jankowski
    Applied Sciences.2019; 9(7): 1268.     CrossRef
  • Development of a Quantitative Model on Adolescent Cyberbullying Victims in Korea: A System Dynamics Approach
    Mi Jin You, Eun Mi Ham
    Journal of Korean Academy of Nursing.2019; 49(4): 398.     CrossRef
  • Spontaneous Brain Activity Did Not Show the Effect of Violent Video Games on Aggression: A Resting-State fMRI Study
    Wei Pan, Xuemei Gao, Shuo Shi, Fuqu Liu, Chao Li
    Frontiers in Psychology.2018;[Epub]     CrossRef
  • Factors Influencing VDT syndrome among male adolescents with risk of digital addiction
    GyeongAe Seomun, Youngjin Lee
    Journal of Digital Convergence.2016; 14(1): 363.     CrossRef
  • Impact of Depression, Ego-resilience, and Active Stress Coping on Internet Addiction Tendency among College Students
    Won Oak Oh, Hyunjeong Shin
    Journal of Korean Public Health Nursing.2016; 30(1): 56.     CrossRef
  • Computer game misuse and addiction of adolescents in a clinically referred study sample
    Jan Frölich, Gerd Lehmkuhl, Helmut Orawa, Michael Bromba, Katharina Wolf, Anja Görtz-Dorten
    Computers in Human Behavior.2016; 55: 9.     CrossRef
  • Effects of Stress Coping Behaviors on Higher Grade Elementary School Students’ Internet Game Addiction: Focused on Gender Difference
    Young-Hee Ju, So-Hee Lim
    Journal of the Korean Society of School Health.2016; 29(3): 226.     CrossRef
  • Gaming and Religion: The Impact of Spirituality and Denomination
    Birgit Braun, Johannes Kornhuber, Bernd Lenz
    Journal of Religion and Health.2016; 55(4): 1464.     CrossRef
  • The longitudinal effects of influence of parental attachment and emotion regulation on Internet delinquency in early adolescence
    Mi-Kyoung Cho, Hee-Young Kim, Sung Seek Moon
    Journal of Human Behavior in the Social Environment.2016; 26(7-8): 587.     CrossRef
  • A Study on the Relationship between Self-Esteem, Social Support, Smartphone Dependency, Internet Game Dependency of College Students

    Journal of East-West Nursing Research.2015; 21(1): 78.     CrossRef
  • The Influence of Stress of Children on Game Addiction -Focused on Moderating Effect of Family Support-
    Na-Ye Kim
    Journal of the Korea Society of Computer and Information.2015; 20(2): 209.     CrossRef
  • A Study on the Game Addiction of Children with Domestic Violence Experience
    Na-Ye Kim
    Journal of the Korea Society of Computer and Information.2015; 20(3): 145.     CrossRef
  • Predictors of Protective Factors for Internet Game Addiction in Middle School Students using Data Mining Decision Tree Analysis
    Young-Ran Kweon, Se-Young Kim
    Journal of Korean Academy of Psychiatric and Mental Health Nursing.2014; 23(1): 12.     CrossRef
  • Tendencies toward Game Addiction in the Group of Adolescents with Highly-educated Parents
    Hee-Ja Kim
    The Journal of the Korea Contents Association.2013; 13(3): 184.     CrossRef
  • Development of a Decision Tree Analysis model that predicts recovery from acute brain injury
    Hyun Soo OH, Wha Sook SEO
    Japan Journal of Nursing Science.2013; 10(1): 89.     CrossRef
  • Length of stay in PACU among surgical patients using data mining technique
    Je-Bog Yoo, Hee Jung Jang
    Journal of the Korea Academia-Industrial cooperation Society.2013; 14(7): 3400.     CrossRef
  • Low 2D:4D Values Are Associated with Video Game Addiction
    Johannes Kornhuber, Eva-Maria Zenses, Bernd Lenz, Christina Stoessel, Polyxeni Bouna-Pyrrou, Florian Rehbein, Sören Kliem, Thomas Mößle, Pablo Branas-Garza
    PLoS ONE.2013; 8(11): e79539.     CrossRef
  • Study on the Contexts and Meanings of Adolescents' Addictive Game Play
    Gyongran Jeon, Sohei Lim
    Journal of Korea Game Society.2012; 12(6): 83.     CrossRef
  • Emotional Competence and Online Game Use in Adolescents
    MIA SEO, HEE SUN KANG, SUN-MI CHAE
    CIN: Computers, Informatics, Nursing.2012; 30(12): 640.     CrossRef
  • 169 View
  • 4 Download
  • 22 Crossref
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The Physical Restraint Use in Hospital Nursing Situation
Ki Sook Kim, Jin Hee Kim, Sun Hee Lee, Hye Kyoung Cha, Su Jeong Shin, Sung Ai Chi
Journal of Korean Academy of Nursing 2000;30(1):60-71.   Published online March 29, 2017
DOI: https://doi.org/10.4040/jkan.2000.30.1.60
AbstractAbstract PDF

This research is a field investigation to collect basic information about the safe and efficient use of physical restraint in hospitals and for the ultimate minimization of restraint use. The objects of this study were sixty-four patients. They were restrained physically. Add their 32 family members, 24 nurses of two university hospitals in Seoul were also involved in the study. From April 16, to May 27, 1999. Research data were collected throughout the observation and interview process. Also, the data was analyzed using frequencies and field study notes that were invented by researchers.
Results
of this study were as follows: 1. According to the sex and age distinction; male's restraint use was 75%, female's was 25% and pre-schoolage children 39.1%, middle age 26.5%, and senior citizens 20.3%. According to the disease distinction; neuro-system was 35.9%, respiratory system was 21.9%. In the Ward, 40.6% of ICU patients were restrained and 39.0% of pediatric ward children were also to restraint. 70.3% of patients were restrained under 5days, while 10.9% were restrained 10days. 2. Types of physical restraints were wrist restraint (45.21%), arm board (35.62%), leg restraint (8.22%), chest restraint (6.85%), elbow restraint (2.74%) and mitten restraint (1.37%). 3. The percentage was 3.5%, which was in 64 restrained out of 1828 hospitalized people. At 1st investigation, the ratio was 3.5%, the 2nd was 3.0% and the 3rd was 3.9%. 4. The reasons of using the physical restraint were 'to protect implements' (72.84%), 'to protect patients' (18.52%), 'to protect an operative site' (8.64%). 5. The result of the patients; family and nurses' response analysis was: 'It seems to be safe', 'It uses properly', 'It is convenient for relatives and nurses', 'It is helpful to treatment', 'Objective think it is not restraint' were 79.9%. 'It is discomfort and stuffy', 'The implement is ineffective' were 21.1%. However in interview of the patients who can do verbally communication, 6 of 7 was responded that 'It is stuffy and uncomfortable'. 6. When restraint is used, the main decision is usually made by the nurses 42.2% of the time. The statistics read as thus: nurses and the physician in charge 31.3%, nurses and family 12.5%, physician's order 7.8%, only family 6.2%. Although the record of restraint was only 15.6% so that only 10 cases out of all the 26 ICU patients restrained. This study shows that physical restraints which of infringe independent-right of patients, are used without using criterion, explaining the agreement. Also, subjective decision of physician, nurses, and family make the decision of using restraint. So development of practice manuals and rules for restraint implementation is urgent.

Citations

Citations to this article as recorded by  
  • Use of physical restraints on older adults in South Korean nursing homes: a multicenter study
    Eunhee Cho, Deulle Min
    Scientific Reports.2024;[Epub]     CrossRef
  • Factors affecting nursing practice of patient physical restraint among nurses
    Jihyun Kim, Yaki Yang
    Archives of Public Health.2024;[Epub]     CrossRef
  • Factors Influencing Nursing Practice for Physical Restraints among Nurses in the Intensive Care Unit
    Da Eun Kim, Hye Sook Min
    Journal of Korean Critical Care Nursing.2022; 15(3): 62.     CrossRef
  • Factors related to Use of Physical Restraints for Older Adults with Dementia in Long-term Care Settings
    Haejung Lee, Myonghwa Park, Sung-Hwa Lee, Mihyun Lee, Younghye Go, Chun-Gill Kim, Jeong Sun Kim, Kyung Sook Kim, Young Whee Lee, Young Mi Lim, Jun-Ah Song, Young Sun Park, Jong Chul Youn, Ki Woong Kim, Gwi-Ryung Son Hong
    Journal of Korean Gerontological Nursing.2019; 21(2): 125.     CrossRef
  • A Study on Caregiver's Perception of Restraints
    Hye-kyung Kang
    Journal of the Korea Academia-Industrial cooperation Society.2016; 17(5): 452.     CrossRef
  • Families' Perception and Attitude toward Applied Physical Restraints in General Neurological Wards
    So-Yeon Ha, Yi-Kyung Ha, Myung-Hee Kim
    Journal of the Korea Academia-Industrial cooperation Society.2015; 16(5): 3293.     CrossRef
  • Types of Physical Restraint Experience in Mentally Ill Persons: Q Methodological Approach
    Hee Sung Ko, Yang Sook Hah
    Journal of Korean Academy of Psychiatric and Mental Health Nursing.2012; 21(1): 30.     CrossRef
  • Effects of an Educational Program for the Reduction of Physical Restraint Use by Caregivers in Geriatric Hospitals
    Keumbong Choi, Jinsun Kim
    Journal of Korean Academy of Nursing.2009; 39(6): 769.     CrossRef
  • Development and Testing of an Instrument to Measure Family's Emotional Response toward Physically Restrained Patients
    Eun-Nam Lee, Su-Jin Ha, Ji-Yeon Kang
    Journal of Korean Academy of Nursing.2008; 38(4): 629.     CrossRef
  • 181 View
  • 5 Download
  • 9 Crossref
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