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				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
							
							 
				
										
										 Abstract  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   Lise Öğrencilerinin Problemli İnternet Kullanımı ile Karakter Güçleri ve Akademik Başarı Arasındaki İlişkiYeşim Saruhan, Muhammet Çiftçi
 Mavi Atlas.2025; 13(1): 50.     CrossRef
Factors influencing smartphone overdependence among adolescentsDabok Noh, Mi-So Shim
 Scientific Reports.2024;[Epub]     CrossRef
Effects of practical hobbies on children’s device usage and media addiction in KoreaEunjoo 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 feedbackChangmin 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 SurvivalKamil 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 ApproachMi 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 StudyWei 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 addictionGyeongAe 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 StudentsWon 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 sampleJan 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 DifferenceYoung-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 DenominationBirgit 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 adolescenceMi-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 ExperienceNa-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 AnalysisYoung-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 ParentsHee-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 injuryHyun 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 techniqueJe-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 AddictionJohannes 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 PlayGyongran Jeon, Sohei Lim
 Journal of Korea Game Society.2012; 12(6): 83.     CrossRef
Emotional Competence and Online Game Use in AdolescentsMIA SEO, HEE SUN KANG, SUN-MI CHAE
 CIN: Computers, Informatics, Nursing.2012; 30(12): 640.     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
							
							 
				
										
										 Abstract  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 studyEunhee Cho, Deulle Min
 Scientific Reports.2024;[Epub]     CrossRef
Factors affecting nursing practice of patient physical restraint among nursesJihyun Kim, Yaki Yang
 Archives of Public Health.2024;[Epub]     CrossRef
Factors Influencing Nursing Practice for Physical Restraints among Nurses in the Intensive Care UnitDa 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 SettingsHaejung 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 RestraintsHye-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 WardsSo-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 ApproachHee 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 HospitalsKeumbong 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 PatientsEun-Nam Lee, Su-Jin Ha, Ji-Yeon Kang
 Journal of Korean Academy of Nursing.2008; 38(4): 629.     CrossRef
 
		
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