1.Impact of Symptom Clusters on the Quality of Life in Lung Cancer Patients Undergoing Chemotherapy
Asian Oncology Nursing 2021;21(4):241-250
Purpose:
This study was to identify the impact of symptom clusters on the quality of life in lung cancer patients undergoing chemotherapy.
Methods:
Data were collected from 154 lung cancer patients receiving chemotherapy at two tertiary hospitals located in Daegu and Seoul, Korea. The data were analyzed using factor analysis, multiple regression analysis.
Results:
The most frequently reported symptoms included ‘can’t enjoy life,’ ‘not satisfied with quality of life right now,’ ‘short of breath,’ and ‘fatigue.’ The symptoms that inconveniences patients the most are ‘can’t enjoy life,’ ‘difficulty breathing’, and ‘not satisfied with quality of life right now.’ The quality of life score was 82.58 (0~132). Factor analysis showed that four distinct symptom clusters were identified: fatigueconcern-dissatisfaction of life cluster, dyspnea-weight loss cluster, nausea-anorexia cluster, and treatment side effect cluster. The finding supported the existence of the symptom cluster and Karnofsky Performance Status affected the quality of life of lung cancer patients. The fatigue-concern-dissatisfaction of life cluster showed 56% of explanatory power.
Conclusion
Based on the results of this study, it is necessary to manage the characteristics of each lung cancer patient’s symptoms cluster and to develop a strategy that can improve the quality of life.
2.Impact of Climacteric Symptoms and Fatigue on the Quality of Life in Breast Cancer Survivors: The Mediating Effect of Cognitive Dysfunction.
Asian Oncology Nursing 2014;14(2):58-65
PURPOSE: The purpose of this study was to test hypothetical model of quality of life (QOL) in breast cancer survivors and to test the mediating effects of cognitive dysfunction. METHODS: This study was conducted from December 1st, 2013 to February 28th, 2014. 164 breast cancer survivors were recruited from A, D, and Y city in Korea. The instruments used in this study were climacteric symptoms, fatigue, cognitive dysfunction, and the QOL scales. Data were analyzed using descriptive statistics, correlation, and pathway. RESULTS: Cognitive dysfunction was directly affected by climacteric symptoms and fatigue. QOL was directly affected by fatigue, However climacteric symptoms and cognitive dysfunction did not effect on QOL directly. Impact of climacteric symptoms on QOL, mediating effect of cognitive dysfunction was not confirmed. In addition, effect of fatigue on the QOL, the mediating effect of cognitive dysfunction was not. CONCLUSIONS: Effects of climacteric symptoms on QOL was not mediated by cognitive dysfunction, Furthermore effects of fatigue on QOL was not mediated by cognitive dysfunction.
Breast Neoplasms*
;
Climacteric*
;
Fatigue*
;
Humans
;
Korea
;
Negotiating*
;
Quality of Life*
;
Survivors*
;
Weights and Measures
3.Effects of Pain, Sleep Disturbance, and Fatigue on the Quality of Life in Patients with Pancreatic Cancer Undergoing Chemotherapy.
Gyung Duck KIM ; Hyun Jin JANG
Asian Oncology Nursing 2012;12(2):117-124
PURPOSE: The purpose of this study was to assess pain, sleep disturbance, fatigue, and the quality of life and to identify the impact of pain, sleep disturbance and fatigue on the quality of life in patients with pancreatic cancer undergoing chemotherapy. METHODS: Data were collected from June to July, 2010. Participants were recruited from Y university hospital in Seoul. Research instruments included numeric rating scale for pain, Functional Assessment Chronic Illness Therapy-Functional Well-Being (FACIT-FWB): General Factor 5 (GF5) for sleep disturbance, Functional Assessment of Cancer Therapy-General (FACT-G) for quality of life, and FACT-Fatigue for fatigue. RESULTS: The quality of life for cancer patients had a significant relationship with pain, sleep disturbance, and fatigue. The significant factors influencing quality of life were pain, sleep disturbance, and fatigue that explained 52.6% of the variance. CONCLUSION: Patients with pancreatic cancer undergoing chemotherapy experienced pain, fatigue, and sleep disturbance which led to a negative effect on quality of life. The results suggest that intervention program to improve quality of life could reduce pain, fatigue, and sleep disturbance of pancreatic cancer patients undergoing chemotherapy.
Chronic Disease
;
Fatigue
;
Humans
;
Pancreatic Neoplasms
;
Quality of Life
;
Sleep Wake Disorders
4.A Symptom Cluster Analysis of Breast Cancer Patients Using a Mediation Model.
Gyung Duck KIM ; Hyun Jin JANG
Asian Oncology Nursing 2012;12(4):274-279
PURPOSE: This study was conducted to test whether sleep disturbance mediates the effect of pain on fatigue, whether fatigue mediates the effect of pain on depression, and whether fatigue mediates the effect of sleep disturbance on depression. METHODS: This study was conducted from September 12th to December 20th, 2011. One hundred eighty-eight breast cancer patients were recruited from D city and S city in Korea. The instruments used in this study were the pain, sleep disturbance, fatigue, and depression scales. Data were analyzed using descriptive statistics, Pearson correlation coefficients, and mediation pathway with the SPSS 12.0 and AMOS 20.0 programs. RESULTS: There was correlation among pain, fatigue, sleep disturbance, and depression. Mediation analyses indicated that pain influences fatigue. sleep disturbance, and depression directly as well as indirectly. Sleep disturbance influences fatigue and depression directly, also fatigue influences depression directly. But sleep disturbance had no direct effect on depression. CONCLUSION: Significant correlations among the four symptoms supported the existence of the symptom cluster. Effects of pain on fatigue was partially mediated by sleep disturbance, also effects of pain on depression was partially mediated by fatigue. However, the effects of sleep disturbance on depression was fully mediated by fatigue.
Breast Neoplasms*
;
Cluster Analysis*
;
Depression
;
Fatigue
;
Humans
;
Korea
;
Negotiating*
;
Weights and Measures
5.A Structural Equation Model on Korean Adolescents' Excessive Use of Smartphones.
Asian Nursing Research 2018;12(2):91-98
PURPOSE: Authors develop a unified structural model that defines multirelationships between systematic factors causing excessive use of smartphones and the corresponding results. METHODS: A survey was conducted with adolescents who live in Seoul, Pusan, Gangneung, Donghae, and Samcheok from February to March 2016. Authors used SPSS, version 22.0, and AMOS, version 22.0, to analyze the survey results at a .05 significance level. To investigate demographic characteristics of the participants and their variations, descriptive analysis was used. The maximum likelihood estimate method was adopted to verify the fitness of the hypothetical model and the hypotheses therein. Authors used χ² statistics, goodness-of-fit index, adjusted goodness-of-fit index, comparative fit index, normed fit index, incremental fit index, root mean square residual, and root mean square error of approximation to verify the fitness of our structural model. RESULTS: (1) The proposed structural model demonstrated a fine fitness level. (2) The proposed structural model could describe the excessive use of a smartphone with 88.6% accuracy. (3) The absence of the family function and relationship between friends, impulsiveness, and low self-esteem were confirmed as key factors that cause an excessive use of smartphones. (4) Furthermore, impulsiveness and low self-esteem are closely related to the absence of family functions and relations between friends by 68.3% and 54.4%, respectively. CONCLUSION: Authors suggest that nursing intervention programs from various angles are required to reduce adolescents' excessive use of smartphones. For example, family communication programs would be helpful for both parents and children. Consultant programs about relationships with friends would also be helpful.
Adolescent
;
Busan
;
Child
;
Consultants
;
Friends
;
Gangwon-do
;
Humans
;
Impulsive Behavior
;
Likelihood Functions
;
Methods
;
Models, Structural
;
Nursing
;
Parents
;
Self Concept
;
Seoul
;
Smartphone*
6.Experience of Violence and Hospital Violence Attitude according to Gender and Gender-Role Identity of Clinical Nurses
Korean Journal of Occupational Health Nursing 2022;31(2):57-65
Purpose:
This study aims to examine differences in experiences of violence and hospital violence attitude according to gender and gender-role identity of clinical nurses.
Methods:
The quota sampling method, was used to select the research subjects. They were divided into two groups male and female nurses who worked for three general hospitals or higher level-hospitals in Incheon and Gyeongbuk. The data of 219 subjects was used for final analysis. The IBM SPSS 22.0 was used to analyze the data t-test and ANOVA.
Results:
According to gender, the hospital violence experience of female nurses was oserved frequently when the verbal violence came from guardians, and when the physical threats came from others. For male nurses, the experiences of hospital violence was obserbed. According to gender, the hospital violence attitude revealed significant differences in female nurses that the negative attitude was higher (t=-4.69, p<.001). According to gender-role identity, the undifferentiated and femininity showed significant differences (F=4.86 p=.003).
Conclusion
The differentiated strategies of coping measures and violence preventive education considering the gender and gender-role identity of clinical nurses would help formulate measures for the effective management of hospital violence.
7.A Q-Methodological Study of Suicidal Attitudes in Male Baby Boomers
Journal of Korean Academy of Psychiatric and Mental Health Nursing 2021;30(3):257-268
Purpose:
The purpose of this study was to identify attitudes of male baby boomers towards suicide.
Methods:
Q-Methodology which provides a method of analyzing the subjectivity of each item was used. Thirty-five q-statements were selected from total 110 statements. The recruited P-sample consisted of thirty-three male baby boomers in 1 town and 4 cities. Q-statements were classified into a shape of normal distribution of a 9-point scale. Collected data were analyzed using PQMethod Program 2.11.
Results:
Three types of attitudes towards suicide were identified. The first type was self-overcoming type that oppose suicide. The second type was burden recognition type with ambivalence toward suicide. The third type was social support-seeking types that oppose suicide.
Conclusion
The results of this study suggest that it is necessary to apply a suicide prevention program differentiated according to the three types for suicide prevention among male baby boomers in Korea.
8.A Q-Methodological Study of Suicidal Attitudes in Male Baby Boomers
Journal of Korean Academy of Psychiatric and Mental Health Nursing 2021;30(3):257-268
Purpose:
The purpose of this study was to identify attitudes of male baby boomers towards suicide.
Methods:
Q-Methodology which provides a method of analyzing the subjectivity of each item was used. Thirty-five q-statements were selected from total 110 statements. The recruited P-sample consisted of thirty-three male baby boomers in 1 town and 4 cities. Q-statements were classified into a shape of normal distribution of a 9-point scale. Collected data were analyzed using PQMethod Program 2.11.
Results:
Three types of attitudes towards suicide were identified. The first type was self-overcoming type that oppose suicide. The second type was burden recognition type with ambivalence toward suicide. The third type was social support-seeking types that oppose suicide.
Conclusion
The results of this study suggest that it is necessary to apply a suicide prevention program differentiated according to the three types for suicide prevention among male baby boomers in Korea.
9.Nomogram of Naive Bayesian Model for Recurrence Prediction of Breast Cancer.
Woojae KIM ; Ku Sang KIM ; Rae Woong PARK
Healthcare Informatics Research 2016;22(2):89-94
OBJECTIVES: Breast cancer has a high rate of recurrence, resulting in the need for aggressive treatment and close follow-up. However, previously established classification guidelines, based on expert panels or regression models, are controversial. Prediction models based on machine learning show excellent performance, but they are not widely used because they cannot explain their decisions and cannot be presented on paper in the way that knowledge is customarily represented in the clinical world. The principal objective of this study was to develop a nomogram based on a naïve Bayesian model for the prediction of breast cancer recurrence within 5 years after breast cancer surgery. METHODS: The nomogram can provide a visual explanation of the predicted probabilities on a sheet of paper. We used a data set from a Korean tertiary teaching hospital of 679 patients who had undergone breast cancer surgery between 1994 and 2002. Seven prognostic factors were selected as independent variables for the model. RESULTS: The accuracy was 80%, and the area under the receiver operating characteristics curve (AUC) of the model was 0.81. CONCLUSIONS: The nomogram can be easily used in daily practice to aid physicians and patients in making appropriate treatment decisions after breast cancer surgery.
Breast Neoplasms*
;
Breast*
;
Classification
;
Data Mining
;
Dataset
;
Decision Support Techniques
;
Follow-Up Studies
;
Hospitals, Teaching
;
Humans
;
Machine Learning
;
Nomograms*
;
Recurrence*
;
ROC Curve
;
Support Vector Machine
;
Survival Analysis
10.Health in Optimal Fitness and its Related Factors in Young Korean Children Born Prematurely.
Sangmi LEE ; Min SOHN ; Shinjeong KIM ; Sunha CHOI ; Yonghoon JUN ; Youngmee AHN
Child Health Nursing Research 2016;22(4):336-345
PURPOSE: This study was conducted to describe health in optimal fitness (HOF) in young children born prematurely and to analyze factors affecting HOF in health status, investment resources, and anthropological values, based on HOF theory. METHODS: A case-control study of 76 children with preterm births (PTB) was conducted at 24 to 42 months of corrected age. Their HOF status was evaluated based on height, weight, head circumference, and the Korean-Bayley Scale of Infant Development-II and classified as either HOF-achieved or HOF-uncertain in the domain of growth, development, and all together. RESULTS: For growth, development, and all, 26.3%, 27.6%, and 47.4% of children, respectively, belonged to the HOF-uncertain group. Logistic regression analysis showed that longer length of hospital stay (≥21days; OR=7.8; 95% CI [1.5, 40.5]), worse scores on the Home Observation for Measurement of the Environment (HOME) (≥38; OR=0.1; 95% CI [0.0, 0.4]), having a working mother, (OR=5.7; 95% CI [1.2, 27.6]), and an older mother (≥35 years; OR=8.8; 95% CI [2.1, 37.3]) were statistically significant contributors of HOF-uncertain in the domain of all. CONCLUSION: Findings show that young children born prematurely with prolonged stays in a neonatal intensive care unit and insufficient socioeconomic resources at home are more likely to exhibit delayed growth and development.
Case-Control Studies
;
Child*
;
Growth and Development
;
Head
;
Humans
;
Infant
;
Infant, Newborn
;
Intensive Care, Neonatal
;
Investments
;
Length of Stay
;
Logistic Models
;
Mothers
;
Premature Birth