Purpose
This study aims to identify factors affecting the Health-Related Quality of Life (HRQoL) in patients with atrial fibrillation.
Methods
The study subjects were 158 outpatients with atrial fibrillation at a university hospital in Metropolitan City B. Data were collected from March 18, 2022 to July 1, 2022 and were analyzed using descriptive statistics, independent t-test, one-way ANOVA, Pearson’s correlation coefficient, and hierarchical multiple regression with SPSS 22.
Results
Self-management behaviors (β=.27, p<.001), self-efficacy (β=.30, p<.001), and grit (β=.33, p<.001) were found to have statistically significant effects on HRQoL. Hierarchical regression analysis showed that age, employment status, and monthly household income explained 23.6% of the variance in HRQoL, while subjective health status and perceived stress added 18.6% of the variance. Self-management behaviors, self-efficacy, and grit had an explanatory power of 32.4%, and the overall explanatory power was 74.6%.
Conclusion
Self-management behaviors, self-efficacy, and grit were identified as factors affecting HRQoL in patients with atrial fibrillation. These results will be used as important fundamental data to develop nursing interventions in order to improve the HRQoL of patients with atrial fibrillation.

Purpose
The purpose of this study was to explore and describe the process of illness adaptation of patients with Atrial Fibrillation (AF).
Methods
Data were collected from December 2017 to July 2018 through individual in-depth interviews with thirteen patients with AF. Verbatim transcripts were analyzed using the grounded theory methodology developed by Corbin and Strauss.
Results
The core category about the illness adaptation process of patients with AF was identified as “living a life managing the silent insurrection of the heart.” The process of illness adaptation of patients with AF consisted of four phases: “withdrawal”, “transition”, “practice”, and “adeptness”.
Conclusion
An in-depth understanding of the illness adaptation process of patients with AF will guide nurses in proactively developing and implementing effective nursing interventions to better support patients with AF in Korea.

PURPOSE
The purpose of this study was to investigate the factors that influence health-related quality of life in patients with atrial fibrillation.
METHODS
The subjects were 150 outpatients with atrial fibrillation who visited the cardiology clinic of a university hospital in U city. The instruments used for this study were Mhel Uncertainty in Illness Scale (MUIS), Center for Epidemiologic Studies-Depression Scale (CES-D), State Trait Anxiety Inventory (STAI), and the Short-Form-36 Health Survey (SF-36) Korean version II. The date were analyzed by ANOVA, Pearson-correlation coefficient, and hierachial multiple regression using SPSS/WIN 18.0.
RESULTS
The mean score of physical health-related quality of life (PCS) was 38.92 +/- 6.22 and mental health-related quality of life (MCS) was 41.49 +/- 5.71. Physical and Mental health-related quality of life had the significant correlations with uncertainty, anxiety and depression. In multiple regression analysis, physical health-related quality of life was significantly influenced by duration of disease, NYHA class, uncertainty. Mental health-related quality of life was significantly influenced by family income, NYHA class, anxiety and depression.
CONCLUSION
These results suggest that these influencing factors should be consider in developing the nursing interventions to improve the health-related quality of life in patients with atrial fibrillation.

Citations

• Improvement of Dyspnea and Palpitations of Cardiac Origin Using Comprehensive Traditional Korean Medicine Treatment Including Bangibokryeong-tang (Fangji Fuling Decoction) : A Case Report
  Jumin Kim, Dasol Park, Hyeryun Lee, Jungtae Leem
  The Journal of Internal Korean Medicine.2024; 45(1): 100.     CrossRef
• Symptom Clusters, Psychological Distress, and Quality of Life in Patients with Atrial Fibrillation
  Chohee Bang, Sookyung Park
  Healthcare.2023; 11(9): 1353.     CrossRef
• The Impact of Self-Management Behaviors, Self-Efficacy, and Grit on Health-related Quality of Life in Patients with Atrial Fibrillation: A Cross-Sectional Descriptive Study
  Ji-Yeong Seo, Hyeon-Ok Lee
  Korean Journal of Adult Nursing.2023; 35(2): 158.     CrossRef
• Predictors Affecting Postoperative Atrial Fibrillation in Patients After Coronary Artery Bypass Graft
  Jungsun Lee, Insil Jang
  Clinical Nursing Research.2020; 29(8): 543.     CrossRef
• The Illness Adaptation Process of Patients Suffering from Atrial Fibrillation: Living a Life Managing the Silent Insurrection of the Heart
  A-Leum Han, Suhye Kwon
  Korean Journal of Adult Nursing.2020; 32(3): 326.     CrossRef
• Health-Related Quality of Life and Associated Factors in Patients with Atrial Fibrillation: An Integrative Literature Review
  Youn-Jung Son, Kyoung-Hwa Baek, Suk Jeong Lee, Eun Ji Seo
  International Journal of Environmental Research and Public Health.2019; 16(17): 3042.     CrossRef
• Impact of Sociodemographic and Clinical Factors on Health-Related Quality of Life in Older Adults With Atrial Fibrillation
  Youn-Jung Son, Eun Ji Seo
  Research in Gerontological Nursing.2018; 11(4): 207.     CrossRef

PURPOSE
The purpose of this study was to determine correlates of depression and perceived health status in patients with atrial fibrillation.
METHODS
The study utilized a descriptive correlational survey design. A convenience sample of 115 subjects were recruited from 3 tertiary medical centers. The data were analyzed by descriptive statistics, hierarchical multiple regression.
RESULTS
1) Study subjects perceived the low frequency of symptoms, relatively high social support, low depression, moderately low physical health, and mental health. 2) The 38% of variance in depression was significantly explained by symptom(beta= .49), social support(beta= -.21), and education(beta= -.17). 3) The 40% of variance in physical health was significantly explained by symptom(beta= -.55), social support(beta= .16), and education(beta= .20). 4) the 12% of variance in mental health was significantly explained by symptom(beta= -.26), and social support(beta= .24).
CONCLUSION
Most health care providers assume atrial fibrillation patients have very few symptoms. However, symptom related to atrial fibrillation was found to be the most important factors in explaining depression and perceived health status. Additionally, higher social support had great influences on the lower depression and higher perceived health status. Based on the findings of this study, directions for nursing practice and further nursing research for patients with atrial fibrillation are suggested.

PURPOSE
The purposes of this study were to explore the concept of uncertainty and to examine the relationships among uncertainty, appraisal of uncertainty, depression, anxiety, and perceived health status in patients with atrial fibrillation. METHOD: The study utilized a descriptive correlational survey design using a face to face interview method. A convenience sample of 49 subjects were recruited from K university hospital over 8 months. The data were analyzed by t-test, ANOVA, Pearson correlation and partial correlation analysis. RESULTS: 1) Subjects perceived with moderately high uncertainty(M=65.98); moderate physical health(M=39.80), mental health(M=47.38), and general health(M=2.94); moderate anxiety(M= 44.78); and slightly low depression(M=15.33). 2) There were significant differences in uncertainty by gender and education. 3) Uncertainty and danger appraisal were significantly correlated(r=.32, p=.03) while the uncertainty was not associated with opportunity appraisal. 4) Uncertainty was significantly correlated with mental health(r=-.31, p=.04), anxiety(r=.38, p=.01), and depression(r=37, p=.01). CONCLUSION: This study was the first trial to explore uncertainty and to examine the relationships among its associated factors in Korean patients with atrial fibrillation. Thus, based on the findings of this study, directions for nursing practice and further nursing research for patients with atrial fibrillation were suggested.