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4 "Self-control"
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Research Papers
Examination of Predicting Factors for COVID-19 Vaccination Behaviors of University Students Utilizing the Theory of Planned Behavior
Heo, Yeon Jeong , Hyun, Hye-Jin
J Korean Acad Nurs 2024;54(2):178-192.   Published online May 31, 2024
DOI: https://doi.org/10.4040/jkan.24020
AbstractAbstract PDF
Purpose
This study aimed to examine the predictive factors of COVID-19 vaccination behavior by evaluating the moderating effect of perceived behavioral control on the theory of planned behavior.
Methods
Data were collected from August 6 to August 31, 2022 from 235 college students (aged 20~29 years) across 12 universities using a structured web-based survey. Statistical analyses were conducted using the SPSS and AMOS software.
Results
Attitudes toward COVID-19 vaccination, subjective norms, and intention to be vaccinated significantly influenced COVID-19 vaccination behavior. Attitudes and subjective norms indirectly affected COVID-19 vaccination behavior through intention to vaccinate, whereas intention to vaccinate had a direct effect. The moderating effect of perceived behavioral control on the relationship between subjective norms and intention to vaccinate was significant.
Conclusion
Interventions that foster a positive attitude toward COVID-19 vaccination and bolster subjective norms and perceived behavioral control can boost the intention to be vaccinated and facilitate the uptake of COVID-19 vaccination.
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The Development of Automated Personalized Self-Care (APSC) Program for Patients with Type 2 Diabetes Mellitus
Park, Gaeun , Lee, Haejung , Khang, Ah Reum
J Korean Acad Nurs 2022;52(5):535-549.   Published online October 31, 2022
DOI: https://doi.org/10.4040/jkan.22046
AbstractAbstract PDF
Purpose
The study aimed to design and develop an automated personalized self-care (APSC) program for patients with type 2 diabetes mellitus. The secondary aim was to present a clinical protocol as a mixed-method research to test the program effects.
Methods
The APSC program was developed in the order of analysis, design, implementation, and evaluation according to the software development life cycle, and was guided by the self-regulatory theory. The content validity, heuristics, and usability of the program were verified by experts and patients with type 2 diabetes mellitus.
Results
The APSC program was developed based on goal setting, education, monitoring, and feedback components corresponding to the phases of forethought, performance/volitional control, and self-reflection of self-regulatory theory. Using the mobile application, the participants are able to learn from educational materials, monitor their health behaviors, receive weekly-automated personalized goals and feedback messages, and use an automated conversation system to solve the problems related to self-care. The ongoing two-year study utilizes a mixed method design, with 180 patients having type 2 diabetes mellitus randomized to receive either the intervention or usual care. The participants will be reviewed for self-care self-efficacy, health behaviors, and health outcomes at 6, 12, 18, and 24 months. Participants in the intervention group will be interviewed about their experiences.
Conclusion
The APSC program can serve as an effective tool for facilitating diabetes health behaviors by improving patients’ self-care self-efficacy and self-regulation for self-care. However, the clinical effectiveness of this program requires further investigation.

Citations

Citations to this article as recorded by  
  • Participation experience in self-care program for type 2 diabetes: A mixed-methods study
    Mihwan Kim, Haejung Lee, Gaeun Park, Ah Reum Khang
    Journal of Korean Gerontological Nursing.2024; 26(1): 31.     CrossRef
  • Long‐Term Effects of an Automated Personalized Self‐Care Program for Patients With Type 2 Diabetes
    Haejung Lee, Gaeun Park, DaeEun Lee, Ah Reum Khang, Min Jin Lee
    Nursing & Health Sciences.2024;[Epub]     CrossRef
  • Automated Personalized Self-care Program for Patients With Type 2 Diabetes Mellitus: A Pilot Trial
    Gaeun Park, Haejung Lee, Yoonju Lee, Myoung Soo Kim, Sunyoung Jung, Ah Reum Khang, Dongwon Yi
    Asian Nursing Research.2024; 18(2): 114.     CrossRef
  • Healthcare coaching program for youth with type 1 diabetes in South Korea: a pilot study
    Dae Eun Lee, Haejung Lee, Chong Kun Cheon, Ju Young Yoon
    Child Health Nursing Research.2024; 30(1): 17.     CrossRef
  • The Association between the Low-density Lipoprotein-Cholesterol to High-density Lipoprotein-Cholesterol Ratio and the Incidence of Type 2 Diabetes Mellitus in Korean Adults: A Secondary Data Analysis Using a Community-based Cohort Study in Korea
    Bo-Kyoung Cha
    Journal of Korean Academy of Fundamentals of Nursing.2023; 30(1): 66.     CrossRef
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Original Articles
The Effects of Neurofeedback Training on Physical, Psychoemotional Stress Response and Self-Regulation for Late Adolescence: A Non-Randomized Trial
Moon-Ji Choi, Wan-Ju Park
J Korean Acad Nurs 2018;48(2):208-220.   Published online January 15, 2018
DOI: https://doi.org/10.4040/jkan.2018.48.2.208
AbstractAbstract PDF
Abstract Purpose

The aim of this study was to analyze the effects of neurofeedback training for reducing stress and enhancing self-regulation in late adolescence to identify the possibility of use for nursing intervention.

Methods

A nonequivalent control group pre-post quasi-experimental design was used. Participants were 78 late adolescents assigned to the experimental group (n=39) that received the neurofeedback training and the control group (n=39). Data were collected on heart rate variability (HRV) and skin conductance level (SCL) to assess stress-biomarker response. The questionnaire contained 164 items from: Positive and Negative Affect Schedule (PANAS), Symptom Checklist-90-Revised (SCL-90-R) and Self-regulatory Ability scale. The neurofeedback training was based on the general adaptation syndrome and body-mind medicine. The intervention was conducted in a total of 10 sessions for 30 minutes per session with high-beta, theta and sensory motor rhythm training on scalp at central zero.

Results

There were significant difference in standard deviation of normal to normal interval (p=.036) in HRV and SCL (p=.029) of stress-biomarker response between the two groups. Negative affect (p=.036) in PANAS and obsessive compulsive (p=.023) and depression (p<.001) in SCL-90-R were statistically significant. Self-regulation mode (p=.004) in self-regulation ability scale showed a significant difference between the two groups.

Conclusion

The results indicated that the neurofeedback training is effective in stress-biomarkers, psy-choemotional stress response and self-regulation. Therefore, neurofeedback training using neuroscientific approach based on brain-mind-body model can be used as an effective nursing intervention for late adolescents in clinics and communities for effective stress responses.

Citations

Citations to this article as recorded by  
  • Effects of Stepwise Combined Biofeedback Training on Attention and Self-control of High School Students Based on the Reflection and Reflexion Model
    Shin-Jeong Park, Wanju Park
    Journal of Korean Academy of psychiatric and Mental Health Nursing.2024; 33(4): 442.     CrossRef
  • The Effect of Biofeedback Training on Attention, Affect Balance, Academic Delay Behavior, and Problem-Solving Ability of Korean College Students
    Jungmin Lee, Youngkyoung Kim, Wanju Park
    Journal of Korean Public Health Nursing.2024; 38(2): 150.     CrossRef
  • Vagally-mediated heart rate variability and depression in children and adolescents - A meta-analytic update
    Luise Baumeister-Lingens, Roxana Rothe, Lena Wolff, Alexander L. Gerlach, Julian Koenig, Christine Sigrist
    Journal of Affective Disorders.2023; 339: 237.     CrossRef
  • Comparison of QEEG Findings before and after Onset of Post-COVID-19 Brain Fog Symptoms
    Marta Kopańska, Danuta Ochojska, Renata Muchacka, Agnieszka Dejnowicz-Velitchkov, Agnieszka Banaś-Ząbczyk, Jacek Szczygielski
    Sensors.2022; 22(17): 6606.     CrossRef
  • Effects of Electroencephalogram Biofeedback on Emotion Regulation and Brain Homeostasis of Late Adolescents in the COVID-19 Pandemic
    Wanju Park, Mina Cho, Shinjeong Park
    Journal of Korean Academy of Nursing.2022; 52(1): 36.     CrossRef
  • The Effects of the Combined Biofeedback and Brief Emotion Regulation Nursing Intervention Based on the Gross Model for Sexually Abused Adolescents
    Jieun Kim, Wanju Park
    Journal of Korean Academy of Nursing.2022; 52(6): 608.     CrossRef
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Structural Equation Modeling of Self-Management in Patients with Hemodialysis
Jieun Cha
J Korean Acad Nurs 2017;47(1):14-24.   Published online February 28, 2017
DOI: https://doi.org/10.4040/jkan.2017.47.1.14
AbstractAbstract PDF
Purpose

The purpose of this study was to construct and test a hypothetical model of self-management in patients with hemodialysis based on the Self-Regulation Model and resource-coping perspective.

Methods

Data were collected from 215 adults receiving hemodialysis in 17 local clinics and one tertiary hospital in 2016. The Hemodialysis Self-management Instrument, the Revised Illness Perception Questionnaire, Herth Hope Index and Multidimensional Scale of Perceived Social Support were used. The exogenous variable was social context; the endogenous variables were cognitive illness representation, hope, self-management behavior, and illness outcome. For data analysis, descriptive statistics, Pearson correlation analysis, factor analysis, and structural equation modeling were performed.

Results

The hypothetical model with six paths showed a good fitness to the empirical data: GFI=.96, AGFI=.90, CFI=.95, RMSEA=.08, SRMR=.04. The factors that had an influence on self-management behavior were social context (β=.84), hope and cognitive illness representation (β=.37 and β=.27) explaining 92.4% of the variance. Self-management behavior mediated the relationship between psychosocial coping resources and illness outcome.

Conclusion

This research specifies a more complete spectrum of the self-management process. It is important to recognize the array of clinical resources available to support patients' self-management. Healthcare providers can facilitate self-management through collaborative care and understanding the ideas and emotions that each patient has about the illness, and ultimately improve the health outcomes. This framework can be used to guide self-management intervention development and assure effective clinical assessment.

Citations

Citations to this article as recorded by  
  • Predictive Model of Self‐Management and Quality of Life for Patients on Hemodialysis Using Information‐Motivation‐Behavioral Skills Model: A Cross‐Sectional Study
    Sung Reul Kim, Hye Young Kim, Eun Ko, No Eul Kang, Kang Sun Lee
    Nursing & Health Sciences.2025;[Epub]     CrossRef
  • Effects of self-care intervention using a mobile instant messenger on hemodialysis patient’s knowledge, self-efficacy, self-care behavior and physiological index
    Yu Kyung Shin, Mi Young Kim
    Journal of Korean Biological Nursing Science.2024; 26(2): 123.     CrossRef
  • WeChat peer education on self-management behavior of hemodialysis patients
    Jun Wang
    International Journal of Research Studies in Management.2023;[Epub]     CrossRef
  • Healthy life of Korean patients with chronic kidney failure undergoing hemodialysis: A situation-specific nursing theory
    Jinhyang Yang, Myung-Ok Cho, Haeok Lee
    Applied Nursing Research.2022; 65: 151584.     CrossRef
  • The Effect of Nonpharmacological Integrated Care Protocols on Patients with Fatigue Undergoing Hemodialysis: A Randomized Controlled Trial
    Manhua Zuo, Na Zuo, Jinrong Lin, Jing Zhuo, Xinghui Jing, Jun Tang, Liaqat Ali
    Computational and Mathematical Methods in Medicine.2022; 2022: 1.     CrossRef
  • Development and Effectiveness of Emotional Intelligence Promotion Program for Schizophrenia
    Min Young Jung, Jeongyee Bae
    Journal of Korean Academy of psychiatric and Mental Health Nursing.2022; 31(4): 505.     CrossRef
  • Effect of Self‐Determination Theory on Knowledge, Treatment Adherence, and Self‐Management of Patients with Maintenance Hemodialysis
    Rui Wu, Sifang Feng, Hongli Quan, Yun Zhang, Rong Fu, Hong Li, Mohammad Farukh Hashmi
    Contrast Media & Molecular Imaging.2022;[Epub]     CrossRef
  • Exploring demands of hemodialysis patients in Taiwan: A two-step cluster analysis
    I-Chen Yu, Ji-Tseng Fang, Yun-Fang Tsai, Andrew Carl Miller
    PLOS ONE.2020; 15(2): e0228259.     CrossRef
  • Mediating Effect of Stress on the Relationship between Illness Perception and Sleep in Patients at Risk of Metabolic Syndrome
    Hyun-E Yeom, Jee-Won Shin
    Korean Journal of Adult Nursing.2019; 31(4): 449.     CrossRef
  • The Impact of Physical, Psychological, Social Factors on Illness Burden of Long-term Hemodialysis Patients in South Korea
    Jieun Cha
    Journal of Health Informatics and Statistics.2018; 43(3): 159.     CrossRef
  • Validity and Reliability Test of the Korean Version of the Hemodialysis Self-Management Instrument (HDSMI-K)
    Jieun Cha, Jiyoung Kang
    Journal of Health Informatics and Statistics.2017; 42(2): 153.     CrossRef
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