1.Impact of Self-Directed Learning Ability and Metacognition on Clinical Competence among Nursing Students.
Journal of Korean Academic Society of Nursing Education 2014;20(4):513-522
PURPOSE: This study identifies the influences of self-directed learning ability and metacognition on clinical competence in nursing students. METHOD: The subjects consisted of 290 second and third year nursing students. The data were analyzed using t-tests, ANOVA, Scheffe's test, Pearson's correlation coefficients and multiple linear regression via SPSS Statistics version 18.0. RESULTS: On a scale of 1 (lowest) to 5 (highest), the mean self-directed learning ability score of the subjects was 3.19, mean metacognition score was 3.36 and mean clinical competence score was 3.29. A positive correlation was found between clinical competence with self-directed learning ability and metacognition. The strongest predictor of clinical competence was metacognition. CONCLUSION: To improve the clinical competence of nursing students, these findings indicate that increasing metacognition ability is required.
Clinical Competence*
;
Humans
;
Learning*
;
Linear Models
;
Students, Nursing*
2.A Structural Model for the Practice of Life Safety Behavior in School-age Children.
Journal of Korean Academy of Nursing 2014;44(2):119-128
PURPOSE: This study is an examination of the paths in which the primary factors of anxiety, impulsiveness, knowledge of life safety practice, attitudes towards life safety practice, interpersonal support, and self-efficacy from Pender's Health Promotion Model influence the practice of life safety behavior in school-age children. METHODS: The sample consisted of 489 5th and 6th grade students recruited from five elementary schools in Seoul City and four provinces, South Korea. Data were analyzed using descriptive statistics, correlations, factor analysis, and structural equation modeling. RESULTS: Attitudes towards life safety practice, interpersonal support, self-efficacy and impulsiveness directly influenced practice of life safety behavior. Anxiety did not have a direct influence on practice of life safety behavior, but indirectly affected it. In this modified model, 52.0% of the practice of life safety behavior was explained by the primary factors. CONCLUSION: To facilitate the practice life safety behaviors in late childhood, a positive attitude towards life safety needs to be developed along with decreasing impulsiveness and enhancing self-efficacy.
Anxiety
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Child
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Female
;
*Health Behavior
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*Health Knowledge, Attitudes, Practice
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Humans
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Impulsive Behavior
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Male
;
Models, Theoretical
;
Questionnaires
;
Self Efficacy
;
Social Support
3.Effects of Alcohol Management Programs for University Students in Korea: A Systematic Review and Meta-analysis
Journal of Korean Academy of Community Health Nursing 2018;29(1):120-132
PURPOSE: This study is a systematic review and meta-analysis designed to investigate effects of alcohol management programs for Korean university students. METHODS: Research results published until October 14, 2016 were systematically collected in accordance with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis). A total of 12 papers were selected for the meta-analysis. To estimate the effect size, meta-analysis of the studies was performed with the Comprehensive Meta-Analysis 3.0. RESULTS: The mean effect size of 12 studies in total (Hedges' g=-0.36; 95% Confidence Interval [CI]: -0.76~0.05) was not significant statistically. In a study of college students classified as problematic drinking (total of 9), the drinking program showed a median effect size of Hedges' g=-0.57(95% CI: -0.96~-0.18). Results of the drinking-related outcome variables showed a significant effect size (Hedges' g=-0.61; 95% CI: -1.10~-0.13), but psychosocial related outcome variables were not significant (Hedges' g=-0.50; 95% CI: -1.24~0.23). CONCLUSION: It can be seen that the alcohol management program for college students has a significant effect on controlling the problem drinking of college students. In addition, application of a differentiated drinking program with problem drinkers selected as a risk group will be effective in controlling drinking and drinking related factors.
Alcohol Drinking
;
Drinking
;
Humans
;
Korea
4.The impact of social interaction anxiety on endemic blue among university students who experienced the COVID-19 pandemic: The mediating effect of social phobia
Ahrin KIM ; Hae Ok JEON ; Myung-Ock CHAE
Journal of Korean Academic Society of Nursing Education 2024;30(3):212-221
Purpose:
This study aimed to identify the mediating effect of social phobia between social interaction anxiety and endemic blue among university students who experienced the coronavirus disease 2019 (COVID-19) pandemic.
Methods:
This study employed a descriptive correlational design. The participants were 196 university students from 10 universities located in four major regions across the Republic of Korea. Data were collected from July 12 to 31, 2022, through an online self-reported questionnaire and were then analyzed using an independent t-test, one-way ANOVA with Scheffé test, Pearson’s correlation coefficient, and multiple regression. The mediating effect was analyzed using PROCESS macro model 4 with a bootstrapping method using IBM SPSS 27.0.
Results:
There were significant positive correlations among social interaction anxiety, social phobia, and endemic blue. Social interaction anxiety had significant effects on social phobia (β=0.77, p<.001) and social interaction anxiety (β=0.33, p<.001) and social phobia had a significant effect on endemic blue (β=0.29, p=.001). Concerning the influence of social interaction anxiety on endemic blue, a significant indirect mediating effect of social phobia was confirmed, and the size of the indirect effect was 0.14 (0.04~0.24).
Conclusion
In order to manage the social and psychological health of university students who experienced the COVID-19 pandemic period, it is necessary to develop strategies to overcome endemic blue that reduce social interaction anxiety and take into account the mediating effect of social phobia.
5.Effects of medication adherence interventions for older adults with chronic illnesses: a systematic review and meta-analysis
Hae Ok JEON ; Myung-Ock CHAE ; Ahrin KIM
Osong Public Health and Research Perspectives 2022;13(5):328-340
This systematic review and meta-analysis aimed to understand the characteristics of medication adherence interventions for older adults with chronic illnesses, and to investigate the average effect size by combining the individual effects of these interventions. Data from studies meeting the inclusion criteria were systematically collected in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines. The results showed that the average effect size (Hedges’ g) of the finally selected medication adherence interventions for older adults with chronic illnesses calculated using a random-effects model was 0.500 (95% confidence interval [CI], 0.342−0.659). Of the medication adherence interventions, an implementation intention intervention (using face-to-face meetings and telephone monitoring with personalized behavioral strategies) and a health belief model–based educational program were found to be highly effective. Face-to-face counseling was a significantly effective method of implementing medication adherence interventions for older adults with chronic illnesses (Hedges’ g= 0.531, 95% CI, 0.186−0.877), while medication adherence interventions through education and telehealth counseling were not effective. This study verified the effectiveness of personalized behavioral change strategies and cognitive behavioral therapy based on the health belief model, as well as face-to-face meetings, as medication adherence interventions for older adults with chronic illnesses.
6.The impact of social interaction anxiety on endemic blue among university students who experienced the COVID-19 pandemic: The mediating effect of social phobia
Ahrin KIM ; Hae Ok JEON ; Myung-Ock CHAE
Journal of Korean Academic Society of Nursing Education 2024;30(3):212-221
Purpose:
This study aimed to identify the mediating effect of social phobia between social interaction anxiety and endemic blue among university students who experienced the coronavirus disease 2019 (COVID-19) pandemic.
Methods:
This study employed a descriptive correlational design. The participants were 196 university students from 10 universities located in four major regions across the Republic of Korea. Data were collected from July 12 to 31, 2022, through an online self-reported questionnaire and were then analyzed using an independent t-test, one-way ANOVA with Scheffé test, Pearson’s correlation coefficient, and multiple regression. The mediating effect was analyzed using PROCESS macro model 4 with a bootstrapping method using IBM SPSS 27.0.
Results:
There were significant positive correlations among social interaction anxiety, social phobia, and endemic blue. Social interaction anxiety had significant effects on social phobia (β=0.77, p<.001) and social interaction anxiety (β=0.33, p<.001) and social phobia had a significant effect on endemic blue (β=0.29, p=.001). Concerning the influence of social interaction anxiety on endemic blue, a significant indirect mediating effect of social phobia was confirmed, and the size of the indirect effect was 0.14 (0.04~0.24).
Conclusion
In order to manage the social and psychological health of university students who experienced the COVID-19 pandemic period, it is necessary to develop strategies to overcome endemic blue that reduce social interaction anxiety and take into account the mediating effect of social phobia.
7.The impact of social interaction anxiety on endemic blue among university students who experienced the COVID-19 pandemic: The mediating effect of social phobia
Ahrin KIM ; Hae Ok JEON ; Myung-Ock CHAE
Journal of Korean Academic Society of Nursing Education 2024;30(3):212-221
Purpose:
This study aimed to identify the mediating effect of social phobia between social interaction anxiety and endemic blue among university students who experienced the coronavirus disease 2019 (COVID-19) pandemic.
Methods:
This study employed a descriptive correlational design. The participants were 196 university students from 10 universities located in four major regions across the Republic of Korea. Data were collected from July 12 to 31, 2022, through an online self-reported questionnaire and were then analyzed using an independent t-test, one-way ANOVA with Scheffé test, Pearson’s correlation coefficient, and multiple regression. The mediating effect was analyzed using PROCESS macro model 4 with a bootstrapping method using IBM SPSS 27.0.
Results:
There were significant positive correlations among social interaction anxiety, social phobia, and endemic blue. Social interaction anxiety had significant effects on social phobia (β=0.77, p<.001) and social interaction anxiety (β=0.33, p<.001) and social phobia had a significant effect on endemic blue (β=0.29, p=.001). Concerning the influence of social interaction anxiety on endemic blue, a significant indirect mediating effect of social phobia was confirmed, and the size of the indirect effect was 0.14 (0.04~0.24).
Conclusion
In order to manage the social and psychological health of university students who experienced the COVID-19 pandemic period, it is necessary to develop strategies to overcome endemic blue that reduce social interaction anxiety and take into account the mediating effect of social phobia.
8.Factors Related to Health-Related Quality of Life across the Life Cycle in One-Person Households among Korean Adults
Journal of Korean Academy of Community Health Nursing 2024;35(2):125-139
Purpose:
This study is to identify factors related to health-related quality of life in one-person households across the life cycle by analyzing data from the 2021 Korean National Health and Nutrition Examination Survey.
Methods:
The subjects of one-person households were divided into 195 young adults, 273 middle-aged people, and 490 elderly people according to life cycle. Data were analyzed by complex sample cross tabulation, complex sample t-test, complex sample ANOVA, and complex sample multiple regression analysis using IBM SPSS 26.0.
Results:
In young adults, subjective health status, daily activity limitation, and stress level explained 41% of health-related quality of life, and in middle age, income level, education level, occupation, marital status, subjective health status, stress level, and depression had a 60% explanatory power. In old age, education level, subjective health status, daily activity limitation, stress level, and depression explained 53% of health-related quality of life.
Conclusion
In order to effectively improve the health-related quality of life of one-person households, it is necessary to establish a customized program considering the influencing factors across the life cycle and systematically manage it according to the flow of the life cycle.
9.The impact of social interaction anxiety on endemic blue among university students who experienced the COVID-19 pandemic: The mediating effect of social phobia
Ahrin KIM ; Hae Ok JEON ; Myung-Ock CHAE
Journal of Korean Academic Society of Nursing Education 2024;30(3):212-221
Purpose:
This study aimed to identify the mediating effect of social phobia between social interaction anxiety and endemic blue among university students who experienced the coronavirus disease 2019 (COVID-19) pandemic.
Methods:
This study employed a descriptive correlational design. The participants were 196 university students from 10 universities located in four major regions across the Republic of Korea. Data were collected from July 12 to 31, 2022, through an online self-reported questionnaire and were then analyzed using an independent t-test, one-way ANOVA with Scheffé test, Pearson’s correlation coefficient, and multiple regression. The mediating effect was analyzed using PROCESS macro model 4 with a bootstrapping method using IBM SPSS 27.0.
Results:
There were significant positive correlations among social interaction anxiety, social phobia, and endemic blue. Social interaction anxiety had significant effects on social phobia (β=0.77, p<.001) and social interaction anxiety (β=0.33, p<.001) and social phobia had a significant effect on endemic blue (β=0.29, p=.001). Concerning the influence of social interaction anxiety on endemic blue, a significant indirect mediating effect of social phobia was confirmed, and the size of the indirect effect was 0.14 (0.04~0.24).
Conclusion
In order to manage the social and psychological health of university students who experienced the COVID-19 pandemic period, it is necessary to develop strategies to overcome endemic blue that reduce social interaction anxiety and take into account the mediating effect of social phobia.
10.A Structural Model for Premenstrual Coping in University Students: Based on Biopsychosocial Model.
Myung Ock CHAE ; Hae Ok JEON ; Ahrin KIM
Journal of Korean Academy of Nursing 2017;47(2):257-266
PURPOSE: The aims of this study were to construct a hypothetical structural model which explains premenstrual coping in university students and to test the fitness with collected data. METHODS: Participants were 206 unmarried women university students from 3 universities in A and B cities. Data were collected from March 29 until April 30, 2016 using self-report structured questionnaires and were analyzed using IBM SPSS 23.0 and AMOS 18.0. RESULTS: Physiological factor was identified as a significant predictor of premenstrual syndrome (t=6.45, p<.001). This model explained 22.1% of the variance in premenstrual syndrome. Psychological factors (t=-2.49, p=.013) and premenstrual syndrome (t=8.17, p<.001) were identified as significant predictors of premenstrual coping. Also this model explained 30.9% of the variance in premenstrual coping in university students. A physiological factors directly influenced premenstrual syndrome (β=.41, p=.012). Premenstrual syndrome (β=.55, p=.005) and physiological factor (β=.23, p=.015) had significant total effects on premenstrual coping. Physiological factor did not have a direct influence on premenstrual coping, but indirectly affected it (β=.22, p=.007). Psychological factors did not have an indirect or total effect on premenstrual coping, but directly affected it (β=-.17, p=.036). CONCLUSION: These findings suggest that strategies to control physiological factors such as menstrual pain should be helpful to improve premenstrual syndrome symptoms. When developing a program to improve premenstrual coping ability and quality of menstrual related health, it is important to consider psychological factors including perceived stress and menstrual attitude and premenstrual syndrome.
Dysmenorrhea
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Female
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Humans
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Models, Structural*
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Premenstrual Syndrome
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Psychology
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Single Person
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Young Adult