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				The Effect of Problem Solving Group Counseling on the Index of Obesity and Health Habits of Obese Children														
			
			Mee Young Cho, Hae Jung Lee, Hwa Ja Lee, Hyoung Sook Park			
				Journal of Korean Academy of Nursing 2004;34(7):1224-1233.   Published online March 28, 2017			
									DOI: https://doi.org/10.4040/jkan.2004.34.7.1224
							
							 
				
										
										 Abstract  PDF
Purpose
  This study was to investigate the effects of problem solving group counseling on the index of obesity and health habits for obese children.Method Forty seven obese children participated in the study(Exp.=22, Cont.=25). Children were recruited from the forth and fifth grade withhigher than 20% of the obesity degree. The problem solving counseling lasted for 10 weeks. In order to evaluate the effects of counseling, physical characteristics and health habits were measured three times; pretest, posttest, and at 10 weeks follow-up. The obtained data was analyzed by  χ2-squared-test, t-test, and repeated measures ANOVA, using the SPSS WIN 10.0program.Result Problem solving group counseling was effective on the physical characteristics(BMI, obesity degree, body fat ratio, waist measurement) and health habits over time. Children in the experimental group controlled their body weight better and reported lower scores in the index of obesity than children in the control group at 10 weeks follow-up.Conclusion This counseling program helped obese children modify their health habits so that they could decrease their scores in the obesity index. It can be concluded that problem-solving counseling enhanced problem-solving abilities of obese children, which could help modify their ordinary health habits.
					Citations Citations to this article as recorded by   Problem Solving Therapy for Depressed PatientsJung Yun Baek
 The Journal of Korean Diabetes.2021; 22(2): 147.     CrossRef
Use of Beauty Products and their Consumption: A Behavioral Research in the Higher Grades of Elementary schoolsKeejung Barng, Youn Kim
 Fashion business.2016; 20(4): 172.     CrossRef
Effects of Lifestyle Modification Program on Body Composition, Metabolic Syndrome Markers, and Depression in Obese Postmenopausal WomenNam Hee Park
 Journal of Korean Public Health Nursing.2013; 27(2): 313.     CrossRef
 
		
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				A Study on a Model for Internet Addiction of Adolescents														
			
			Young Ran Cho, Hwa Ja Lee			
				Journal of Korean Academy of Nursing 2004;34(3):541-551.   Published online March 28, 2017			
									DOI: https://doi.org/10.4040/jkan.2004.34.3.541
							
							 
				
										
										 Abstract  PDF
Purpose
This study was to identify the effects of the predictive factors ofInternet addiction and to develop a predictive model that explains Internet addiction among adolescents in Korea.Method Data was collected from 664 adolescents in Puasan and Ulsan. Data analysis was done using the SPSS 10.0 Win Program for descriptive and correlational statistics and the LISREL 8.53 Win Program for Covariance structural analysis.Result The fit of the hypothetical model to the data was moderate, it was modified by deleting four paths. Compared to the hypothetical model, the revised one had a better fit to the data(χ2/df=6.50, GFI=.99, AGFI=.90, RMR=.02, NNFI=.88, NFI=.98, CN=279). Gender, friend support, and loneliness had significant direct effects on Internet addiction. The direct and indirect effect of self-esteem on Internet addiction was significant.The indirect effect of family support on Internet addiction was significant but its direct effect was insignificant. The direct and indirect effects of stress and impulsiveness on Internet addiction were significant but their total effects were insignificant.Conclusion Finally, to decrease loneliness, and to increase family support and self-esteem, an effective intervention program and education should be developed to prevent Internet addiction of adolescents.
					Citations Citations to this article as recorded by   An Integrative Review of Interventions for Preventing Internet and Smartphone Addiction in Elementary School Students: Based on the IMB ModelHyemin Park, Bohye Kim, Jaehee Jeong, Hwa Jeong Kim, Yebin Kim
 STRESS.2024; 32(3): 133.     CrossRef
Prevalence, determinants and consequences of problematic smartphone use among preschoolers (3–5 years) from Dhaka, Bangladesh: A cross-sectional investigationFaruq Abdulla, Md. Moyazzem Hossain, Mohammed Nazmul Huq, Abdul Hai, Azizur Rahman, Russell Kabir, Farhana Jahan Peya, Sinigdha Islam, Hafiz T.A. Khan
 Journal of Affective Disorders.2023; 329: 413.     CrossRef
Loneliness and problematic internet use: testing the role of interpersonal problems and motivation for internet useNahathai Wongpakaran, Tinakon Wongpakaran, Manee Pinyopornpanish, Sutapat Simcharoen, Pimolpun Kuntawong
 BMC Psychiatry.2021;[Epub]     CrossRef
Factors Affecting the Internet Game Addiction Risk of Elementary School Students in Multicultural FamiliesOn Choi, Keum Seong Jang, Nam Young Kim
 Journal of Health Informatics and Statistics.2019; 44(1): 64.     CrossRef
Effect of Positive Psychological Capital, Sense of Community and Stress on Middle School Students' School AdjustmentKyoung Mi Kim, Eun Seon An, Eun Ju Oh
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Problematic Online Gaming Among a Sample of University Students in EgyptGihan ELNahas, Eman Abo Elella, Doaa Hewedi, Mahmoud Elhabiby, Hussien Elkholy, Omar Mansour, Sarah Baiumy
 Addictive Disorders & Their Treatment.2018; 17(4): 161.     CrossRef
Pathways From Family Strengths and Resilience to Internet Addiction in Male High School Students: Mediating Effect of StressJeong Nam Jang, Yeon Hee Choi
 Journal of Korean Public Health Nursing.2012; 26(3): 375.     CrossRef
Development of a Korean Risk Behavior Scale for Middle School AdolescentsHyun Sook Park, Geum Yi Jo
 Journal of Korean Academy of Psychiatric and Mental Health Nursing.2010; 19(2): 229.     CrossRef
The Study on the Relations among Ego-identity, Stress, and Internet Addiction in High School StudentsHee Sook Kim, Yeon Hee Choi, Seong Ja Yoo
 Journal of Korean Academy of Psychiatric and Mental Health Nursing.2010; 19(2): 173.     CrossRef
 
		
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				A Study on the Triage and Statitical Data of Patients in the Emergency Room, PNU														
			
			Young Hae Kim, Hwa Ja Lee, Seok Ju Cho			
				Journal of Korean Academy of Nursing 2001;31(1):68-80.   Published online March 29, 2017			
									DOI: https://doi.org/10.4040/jkan.2001.31.1.68
							
							 
				
										
										 Abstract  PDF
The purpose of this study is to analyze ER patient's Triage and other statistical data.
 The subjects were 12,618 patients who visited the ER during the year 1998. The study showed the following results;
 1. The male vs female ratio was 1.3 : 1.0, the male were in the majority (56.6%), and the age range of 20-29 old was the majority (15.3).
 The patients who visited ER at 8-10 pm were the majority (11.5%). 
On Sunday the number of patients who visited the ER were 2,189, and the majority were 17.4%.
 On Saturday the number of patients was visited the ER were 1,944 patients the second majority (15.4%).
 Their traffic means : the general passenger cars (75.5%), 119 or hospital ambulance (11.3%).
 2. The reasons of visiting ER were : diseases (59.2%), injuries (23.7%). The disease vs injury ratio was 100 : 69.
 3. Triage : urgent 40.7%, non-urgent 38.2%, acute 17.8%, and critical 3.2%. 
 4. The time of waiting and staying in the ER by the Triaget: the average time was 572 minutes (9.53 hrs.). The majority of critical patients (20.5%), acute patients (24.7%) and urgent patients (21.2%) stayed 12-24 hrs., but the majority of non-emergent (27.8%) stayed not longer than one hour. 
5. Treatments by the Triage : the 42.9% of critical patients, and 61.3% of acute patients, 57.5% of urgent patients were admitted. But 91.8% of the non-emergents were discharged and 4.7% was admitted. Mortality of total ER visiter were 1.7%. DAA portion was 0.86%. 26.6% of the critical patients were DAA. DAA vs DOA ratio was 1.3 : 1.0.
 6. Visiting time, monthly and seasonal distribution by the Triage : the majority of critical patients (12.2%), visited 10-12 am. The majority of acute (12.9%) and urgent (11.7%) visited 4-6 pm, but the majority of non-emergents (15.1%) visited during 8-10 pm. 
Autumn visiter were the majority (27.6%). The percentage of non-emergent visited in Spring was 41.4% and Autumn was 41.3%. The percentage of urgents who visited in the Summer was 45.3% and the Winter was 40.4%. 
By clinical departments: the 48.0% of critical patients was NS. The 45.5% of acute and the 33.6% of urgent patients were IM. But the majority of non-emergent patients was PS (21.2%), and the second majority of non-emergent patients was oral Surgery (12.8%).
					Citations Citations to this article as recorded by   A Study of Patients Who Visited the Emergency Department at a Korean Medical Hospital: A Retrospective Chart ReviewHae-rang Ryu, Yoon-jung Kim, Young-kyun Kim, Kyoung-min Kim
 The Journal of Internal Korean Medicine.2018; 39(3): 350.     CrossRef
 
		
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