| Minjeong An | 3 Articles |
Purpose
The purpose of this study was to examine lifestyle behaviors, mental health, and Health-Related Quality of Life (HRQoL) and identify the effects of lifestyle behaviors and mental health on the HRQoL of cancer survivors and general adults. Methods Secondary data analysis was conducted. The data used in the study were drawn from the Korea National Health and Nutrition Examination Survey VII-2 (January 1, 2017, to December 31, 2017). A sample of 190 cancer survivors (mean age, 65.12 years; women, 63.7%) and 1,815 general adults (mean age, 52.67 years; women, 52.6%) was used, focusing on demographic characteristics, lifestyle behaviors (including tobacco smoking, alcohol drinking, physical activity, and eating behavior), and mental health (including sleeping hours, stress, and depressive symptoms). Descriptive statistics, independent t-test, one-way ANOVA, Pearson’s correlation coefficient, and hierarchical stepwise multiple regression were performed to analyze the data. Results The overall mean of HRQoL for all the participants was 0.96±0.08 (0.93±0.11 for cancer survivors and 0.97±0.08 for general adults). For cancer survivors, age, depressive symptoms, and moderate intensity physical activity were associated with HRQoL (adjusted R 2 =.180, p<.001). For general adults, age, education level, economic activity, income level, walking, sodium intake, depressive symptoms, and stress were associated with HRQoL (adjusted R 2 =.165, p<.001). Conclusion Cancer survivors had lower HRQoL than general adults. Differences were found in the factors associated with HRQOL in cancer survivors and general adults. Therefore, customized health programs and policies should be developed and provided for each group to improve their HRQoL. Citations Citations to this article as recorded by
PURPOSE
The purpose of this study was to identify factors affecting sleep quality in nurses working in a tertiary hospital in Korea. METHODS The sample of two hundred and sixty three nurses was drawn from one tertiary care hospital in Korea. Using a descriptive study design, clinical nurses completed the standardized questionnaires, including sleep quality, depressive symptoms, and resilience. Descriptive statistics were computed to describe the sample and study variables. Logistic regression analyses were used to identify factors affecting sleep quality which was classified into two categories. RESULTS A total of 263 registered nurses participated in this study. Most of the participants were female (n=252, 95.8%) and single (n=148, 75.9%), with a mean age of 30.09±7.51 years. The average score of sleep quality was 8.57±3.24. Using a cut-off point of 5.0, 84.0% (n=221) were poor sleepers. After controlling for demographic and job-related variables, the depressive symptoms and resilience were associated with poor sleep quality among clinical nurses (Odds Ratio [OR]=4.56, 95% Confidence Interval [CI]=1.02~20.49; OR=0.97, 95% CI=0.94~0.99, respectively). This model explained 19.5% of the variance in sleep quality. CONCLUSION The two factors reported to impact the quality of sleep were increased depressive symptoms and lower resilience levels. In order to improve nurses' sleep quality, researchers and nursing administrators need to develop and provide some strategies for decreasing depressive symptoms and enhancing their resilience. Citations Citations to this article as recorded by
PURPOSE
This study was aimed to identify NANDA-NOC-NIC linkage in cancer patients receiving chemotherapy. METHODS This study was a descriptive study conducted in three steps. First, nursing diagnoses were identified from the electronic nursing records. Second, content validity of nursing diagnoses and outcomes were evaluated. Third, major nursing interventions associated with expected nursing outcomes were collected from 97 nurses who worked in the oncology unit. Data were analyzed using descriptive statistics. RESULTS Four major nursing diagnoses were identified: acute pain, knowledge deficit, health seeking behaviors, and ineffective protection. Associated with each respective diagnosis, 3 major outcomes (pain level, pain control, and comfort state) for acute pain, 8 major nursing outcomes (diet, disease process, treatment regimen, illness, ostomy care, prescribed activity, health behavior, and infection management) for knowledge deficit, 4 major outcomes (health promoting behavior, health promotion, health belief, and knowledge: health resource) for health seeking behaviors, and 3 major outcomes (fatigue level, immune status, and nutritional status) for ineffective protection were identified. In addition, nursing interventions frequently used in clinical practice for each major nursing outcome were identified. CONCLUSION The identified NANDA-NOC-NIC linkage can contribute to improving the applications of nursing process and care plans. Citations Citations to this article as recorded by
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