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Young Soon Byeon 4 Articles
Factors Influencing the Stages of Change in Medication Adherence in Patients with Hypertension
Young Soon Byeon, Soon Ock Kim, Jeong Hyun Cho
J Korean Acad Community Health Nurs. 2012;23(2):189-200.   Published online June 30, 2012
DOI: https://doi.org/10.12799/jkachn.2012.23.2.189
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AbstractAbstract PDF
PURPOSE
The purpose of this study is to identify factors associated with the stages of change in medication adherence in patients with hypertension.
METHODS
Participants were 323 patients with hypertension. Sociodemographic/medication-related characteristics, stages of change, processes of change, self efficacy and decisional balance were self-administered.
RESULTS
Stages of change were significantly different according to gender, age, job and living arrangement. A multinominal logistic regression analysis has revealed that gender, age, living arrangement, self-liberation, and self-efficacy were significantly associated with the precontemplation stage. Age and self-liberation were significantly associated with the contemplation stage. Gender, age, living arrangement, and self-liberation were significantly associated with the preparation stage. Gender and helping relationship were significantly associated with the action stage. This model explained 52.0% of the stages of change in medication adherence.
CONCLUSION
The tailored intervention strategies based on the stages of change may be needed for improving medication adherence in patients with hypertension.

Citations

Citations to this article as recorded by  
  • Influencing factors from the Transtheoretical Model on the Execution of Self-Management Behaviors among Community-Residing Older Adults with Hypertension
    Yang Heui Ahn, Young Mi Lim, KiYon Kim, Ki-Kyoung Kim, Hee-Young Song
    Journal of Korean Public Health Nursing.2016; 30(1): 105.     CrossRef
  • Factors Influencing Medication Adherence in Patients with Hypertension: Based on the 2008 Korean National Health and Nutrition Examination Survey
    Eunhee Cho, Chung Yul Lee, Insook Kim, Taewha Lee, Gwang Suk Kim, Hyeonkyeong Lee, Jisook Ko, Kyongeun Lee
    Journal of Korean Academy of Community Health Nursing.2013; 24(4): 419.     CrossRef
The Relation between Perceived Health Status and Health-Promoting Behaviors in Female College Students
Young Soon Byeon, Ji Won Oak
J Korean Acad Community Health Nurs. 2008;19(4):715-723.   Published online December 31, 2008
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AbstractAbstract PDF
PURPOSE
The purpose of this study was to investigate the relation between perceived health status and health-promoting behaviors in female college students.
METHOD
Data were collected from December 10 to 31, 2007. In 160 female college students, perceived health status was measured using the Medical Outcomes Short-Form Health Survey (SF-36), and health-promoting behaviors using the Health Promoting Lifestyle Profile (HPLP).
RESULT
The major findings of this study were as follows: 1) The mean scores of the level of health promoting behaviors, physical health status, and mental health status were 2.44 (SD=0.39), 51.9 (SD=8.03), and 42.56 (SD=10.77), respectively. 2) Health-promoting behaviors were correlate with physical health status (r=-.361) and mental health status (r=.498). 3) Health-promoting behaviors were significantly associated with allowance and mental health in capability, which explained 28.9% of variance in health-promoting behaviors.
CONCLUSION
The results suggest that it is necessary to strengthen female college students' practice of exercise and responsibility for health in order to improve their health promotion behaviors. Also, the results of this study give useful information for designing interventions and program development for female college students' appropriate health promoting life.
The Relation between Self Differentiation and School Adjustment Among School Adolescents
Young Soon Byeon, Hea Shoon Lee
J Korean Acad Community Health Nurs. 2007;18(4):673-680.   Published online December 31, 2007
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AbstractAbstract PDF
PURPOSE
The purpose of this study was to investigate the relation between self differentiation and school adjustment among adolescents.
METHODS
The subjects were 356 adolescents. The following research questions were established. The adolescents' self differentiation level was measured based on Bowen's family system theory modified for Korean adolescents(Je, 1989) and their school adjustment level was measured with developed for Korean adolescents(Park, 1998). Collected data were analyzed by Mean+/-SD, t-test, ANOVA and Scheffe and Pearson correlation coefficient (SPSS 12.0).
RESULTS
1. The mean score for the level of self differentiation was 99.99+/-11.58 and school adjustment was 63.52+/-8.80. 2. The self differentiation level was different according to father's education and monthly income. The school adjustment level was different according to grade, sex, father's education and father's occupation. 3. Self differentiation had a significant positive correlation with school adjustment.
CONCLUSION
The self differentiation level was confirmed to have an influence on school adjustment. We need to develop a program that can enhance adolescents' self differentiation.
The Effects of Internet Addiction on Mental Health Among Adolescents
Young Soon Byeon, Hea Shoon Lee
J Korean Acad Community Health Nurs. 2007;18(3):460-468.   Published online September 30, 2007
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AbstractAbstract PDF
PURPOSE
The purpose of this study was to investigate the relation between adolescents' internet addiction and mental health.
METHODS
The Internet addiction level was measured with K-Scale developed for Korean adolescents by Korea Agency Digital Opportunity & Promotion (2006) and the mental health level was measured with SCL-90-R developed by Derogatis (1977) and adapted for Korean adolescents by Kim, Kim. & Won (1984). Collected data was analyzed by the mean+/-SD, t-test, ANOVA, Scheffe and Pearson correlation coefficient (SPSS 12.0).
RESULTS
1. The Internet addiction level appeared to be 'Addiction' in 19%, 'Latency addiction' in 27% and 'Normal' in 54%. 2. The Internet addiction level was different according to sex, use, frequency and using time per day. The mental health level was different according to grade, sex, the father's education, the mother's education, frequency and using time per day. 3. The correlation between Internet addiction and mental health was found significant.
CONCLUSION
The Internet addiction level was confirmed to have an influence on mental health. We offered basis data for preventing and treating Internet addiction in adolescents.

RCPHN : Research in Community and Public Health Nursing