1.Testing for Self-care Ability Measurement in an Aged Health Center: A Delphi Technique.
Journal of Korean Academy of Community Health Nursing 2006;17(4):573-582
No abstract available.
Delphi Technique*
;
Self Care*
2.Testing for Self-care Ability Measurement in an Aged Health Center: A Delphi Technique.
Journal of Korean Academy of Community Health Nursing 2006;17(4):573-582
No abstract available.
Delphi Technique*
;
Self Care*
3.Corrigendum: Qualitative Analysis of Tele-healthcare Systems based on the Diffusion of Innovation Model.
Myung Soon KWON ; Ghee Young NOH ; Ji Hye JANG
Journal of Korean Academy of Community Health Nursing 2017;28(3):357-357
This erratum is being published to correct the co-authors errors.
4.Relations among Knowledge, Fear and Efficacy of Fall in the Community Dwelling Elderly.
Journal of Korean Academy of Community Health Nursing 2010;21(2):139-147
PURPOSE: This study was to find out knowledge, fear, and efficacy of fall in the community dwelling elderly and to investigate how the factors were connected to one another. METHODS: Data were collected from June to August, 2009 from 101 aged people who aged 65 or older and agreed to participate in this study sampled among elders at 8 halls of the aged in local communities. The subjects were interviewed by a co-researcher and 3 trained assistants in a way of responding to the questionnaire after being read. The data were analyzed through t-test, ANOVA, Turkey's test and Pearson correlation coefficients. RESULTS: Knowledge of fall was affected significantly by whether the living cost was provided or not, fear of fall was affected by sex, level of education, hearing impairment and regular exercise, and efficacy of fall was affected by age, sex, marital status, level of education, hearing impairment, vertigo and regular exercise. The results also showed a negative correlation between fear of fall and efficacy of fall. CONCLUSION: According to this study, regular exercise can build up knowledge and efficacy of fall and diminish fear of fall. Thus it is highly recommended to include regular exercise in an effective fall-prevention program.
Accidental Falls
;
Aged*
;
Education
;
Hearing Loss
;
Humans
;
Marital Status
;
Vertigo
;
Surveys and Questionnaires
5.The Factors Affecting Cultural Competency of Visiting Nurses and Community Health Practitioners.
Soon Ok YANG ; Myung Soon KWON ; Seung Hee LEE
Journal of Korean Academy of Community Health Nursing 2012;23(3):286-295
PURPOSE: The purpose of this study was to investigate the level of cultural competency of visiting nurses and community health practitioners and explore factors that are related with their cultural competency. METHODS: The subjects of this study were 113 visiting nurses and 103 community health practitioners working in Gangwon-do. Data were collected using a structured questionnaire on May 24, 2011. The SPSS/WIN 17.0 program was used for data analysis. RESULTS: The average score for cultural competency of visiting nurses was 2.76+/-0.60 and that of community health practitioners 2.91+/-0.51. Most of subjects received no multicultural education (78.0% for nurses, 85.7% for community health nurses). Factors influencing cultural competency were number of service experience for multicultural clients and participation of multicultural education. CONCLUSION: It is necessary to develop systematic educational programs to enhance the cultural competency of nurses.
Community Health Nursing
;
Cultural Competency
;
Surveys and Questionnaires
6.Development and Effect of a Smartphone Overdependence Prevention Program for University Students Based on Self-Determination Theory
Myung Soon KWON ; Jeong Soon YU
Journal of Korean Academy of Nursing 2020;50(1):116-131
PURPOSE: This study aimed to develop a smartphone overdependence prevention program for college students based on the self-determination theory (SDT) and evaluate its effectiveness.METHODS: A non-equivalent control group repeated measures design was used for the study. Participants were 64 university freshmen (experimental group: 29, control group: 35). The developed program consists of eight sessions conducted twice a week. The program was designed to promote autonomy, competence, and relatedness the three elements of the basic psychological needs of self-determination theory. The participants were assessed before the program, immediately after, and 1 and 3 months after the program. Data were collected from April 23 to September 14, 2018 and analyzed by performing a Chi-square test, Fisher's exact test, independent t-test, and repeated measures ANOVA using SPSS/WIN 23.0.RESULTS: This study showed improvement in the basic psychological needs (F=3.90, p =.010) in the experimental group compared to the control group. Specifically, competence (F=2.93, p =.035), relatedness (F=2.89, p =.045), and self-regulatory ability (F=3.11, p =.028) improved significantly.CONCLUSION: Study findings indicate thatthe smartphone overdependence prevention program based on the Self-determination theory could be an effective intervention for improving basic psychological needs and self-regulation ability. Therefore, this program could be an efficient strategy for smartphone overdependence prevention in university students.
Humans
;
Mental Competency
;
Personal Autonomy
;
Self-Control
;
Smartphone
7.Factors influencing smartphone overdependence in university students: an ecological model: a descriptive study
Jeong Soon YU ; Myung Soon KWON
Journal of Korean Academy of Nursing 2025;55(1):64-80
Purpose:
This study investigated the factors influencing smartphone overdependence in university students using an ecological model and descriptive research.
Methods:
Data were collected from 482 students at 13 universities in the six regions in South Korea from October 20, 2020, to March 25, 2021. Data analysis involved descriptive statistics, the chi-square test, the independent samples t-test, analysis of variance, and hierarchical multiple regression.
Results:
The significant ecological factors influencing smartphone overdependence included self-awareness of smartphone overdependence (β=.33, p<.001), autonomy (β=–.25, p<.001), average daily smartphone usage time (β=.18, p<.001), gender (β=.15, p=.001), college year (β=.15, p=.020), forming relationships with others as a motivation for smartphone use (β=–.15, p=.008), friend support (β=.14, p=.006), and age (β=–.12, p=.047). The model explained 34.9% of the variance.
Conclusion
The study emphasized the role of personal and interpersonal factors, in smartphone overdependence among university students. Tailored intervention strategies are necessary to address smartphone overdependence, considering the unique characteristics of students’ environments. A significant aspect of this study is that it provides an explanation of the multidimensional factors contributing to smartphone overdependence among university students, including intrapersonal, interpersonal, and environmental influences.
8.Factors influencing smartphone overdependence in university students: an ecological model: a descriptive study
Jeong Soon YU ; Myung Soon KWON
Journal of Korean Academy of Nursing 2025;55(1):64-80
Purpose:
This study investigated the factors influencing smartphone overdependence in university students using an ecological model and descriptive research.
Methods:
Data were collected from 482 students at 13 universities in the six regions in South Korea from October 20, 2020, to March 25, 2021. Data analysis involved descriptive statistics, the chi-square test, the independent samples t-test, analysis of variance, and hierarchical multiple regression.
Results:
The significant ecological factors influencing smartphone overdependence included self-awareness of smartphone overdependence (β=.33, p<.001), autonomy (β=–.25, p<.001), average daily smartphone usage time (β=.18, p<.001), gender (β=.15, p=.001), college year (β=.15, p=.020), forming relationships with others as a motivation for smartphone use (β=–.15, p=.008), friend support (β=.14, p=.006), and age (β=–.12, p=.047). The model explained 34.9% of the variance.
Conclusion
The study emphasized the role of personal and interpersonal factors, in smartphone overdependence among university students. Tailored intervention strategies are necessary to address smartphone overdependence, considering the unique characteristics of students’ environments. A significant aspect of this study is that it provides an explanation of the multidimensional factors contributing to smartphone overdependence among university students, including intrapersonal, interpersonal, and environmental influences.
9.Factors influencing smartphone overdependence in university students: an ecological model: a descriptive study
Jeong Soon YU ; Myung Soon KWON
Journal of Korean Academy of Nursing 2025;55(1):64-80
Purpose:
This study investigated the factors influencing smartphone overdependence in university students using an ecological model and descriptive research.
Methods:
Data were collected from 482 students at 13 universities in the six regions in South Korea from October 20, 2020, to March 25, 2021. Data analysis involved descriptive statistics, the chi-square test, the independent samples t-test, analysis of variance, and hierarchical multiple regression.
Results:
The significant ecological factors influencing smartphone overdependence included self-awareness of smartphone overdependence (β=.33, p<.001), autonomy (β=–.25, p<.001), average daily smartphone usage time (β=.18, p<.001), gender (β=.15, p=.001), college year (β=.15, p=.020), forming relationships with others as a motivation for smartphone use (β=–.15, p=.008), friend support (β=.14, p=.006), and age (β=–.12, p=.047). The model explained 34.9% of the variance.
Conclusion
The study emphasized the role of personal and interpersonal factors, in smartphone overdependence among university students. Tailored intervention strategies are necessary to address smartphone overdependence, considering the unique characteristics of students’ environments. A significant aspect of this study is that it provides an explanation of the multidimensional factors contributing to smartphone overdependence among university students, including intrapersonal, interpersonal, and environmental influences.
10.Factors influencing smartphone overdependence in university students: an ecological model: a descriptive study
Jeong Soon YU ; Myung Soon KWON
Journal of Korean Academy of Nursing 2025;55(1):64-80
Purpose:
This study investigated the factors influencing smartphone overdependence in university students using an ecological model and descriptive research.
Methods:
Data were collected from 482 students at 13 universities in the six regions in South Korea from October 20, 2020, to March 25, 2021. Data analysis involved descriptive statistics, the chi-square test, the independent samples t-test, analysis of variance, and hierarchical multiple regression.
Results:
The significant ecological factors influencing smartphone overdependence included self-awareness of smartphone overdependence (β=.33, p<.001), autonomy (β=–.25, p<.001), average daily smartphone usage time (β=.18, p<.001), gender (β=.15, p=.001), college year (β=.15, p=.020), forming relationships with others as a motivation for smartphone use (β=–.15, p=.008), friend support (β=.14, p=.006), and age (β=–.12, p=.047). The model explained 34.9% of the variance.
Conclusion
The study emphasized the role of personal and interpersonal factors, in smartphone overdependence among university students. Tailored intervention strategies are necessary to address smartphone overdependence, considering the unique characteristics of students’ environments. A significant aspect of this study is that it provides an explanation of the multidimensional factors contributing to smartphone overdependence among university students, including intrapersonal, interpersonal, and environmental influences.