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Eunjung Ryu



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    MS 14 - QOL Evaluation in Practice from the Viewpoint of Physicians and Nurses (ID 536)

    • Event: WCLC 2017
    • Type: Mini Symposium
    • Track: Nursing/Palliative Care/Ethics
    • Presentations: 1
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      MS 14.05 - Quality of Life in Women with Lung Cancer and Effect of Inner Strength in Mood and QOL (ID 7710)

      12:00 - 12:15  |  Presenting Author(s): Eunjung Ryu

      • Abstract
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      Abstract:
      The incidence rate of lung cancer has declined in males and increased in females in Korea (Jung et al., 2017). In the United States, lung cancer incidence rates began declining in the mid-1980s in men and in the mid-2000s in women because of reductions in smoking prevalence that began decades earlier. Contemporary differences in lung cancer incidence patterns between men and women reflect historical differences in tobacco use (Siegel, Miller, & Jemal, 2016). Women took up smoking in large numbers decades later than men, first initiated smoking at older ages, and were slower to quit, including recent upturns in smoking prevalence in some birth cohorts (Giovino, 2002; Jemal, Ma, Rosenberg, Siegel, & Anderson, 2012). In the United States, the 3 most commonly diagnosed cancers are breast, lung and bronchus, and colorectum, representing one-half of all cases for women (Siegel et al., 2016). The purpose of this study is to analyze the correlation among mood state, distress, symptom experience, inner strength, and quality of life(QoL) in female patients with lung cancer. Also, this study includes descriptive research regarding the influence factors on QoL in them. A total of 206 research subjects who diagnosed with primary lung cancer at a cancer hospital in Gyeonggi, Korea were examined from 1 July 2016 to 31 October 2016. Several instruments were used for research methods: K-POMS-B for mood state, NCCN Distress Thermometer for distress, NCC for understanding aspect of distress, MDASI-LC for symptom experience, ISQ for inner strength, and FACT-G for QoL. Data of this study was analyzed by using SPSS Ver. 23.0 for Windows. The general and diseased characteristics of patients were analyzed through descriptive statistics, frequency, percentage, average, and standard deviation. Independent t-test and One-way ANOVA were used to examine differences according to their characteristics. Bonferroni correction, Pearson correlation coefficient, and hierarchical multiple regression for impact factors of QoL were also used. For reliability, Cronbach’s α was calculated. The results of this study are as fellows; 1. The mean score of the mood disorder was 20.74, symptom experience was 2.88, symptom degree was 2.76, disturbance of daily life was 3.01. The mean score of the inner strength was 97.98. Among sub-categories, the mean score of the searching for meaning on disease was 18.53, fellowship was 27.0, self-determination was 25.2, activity and rest was 27.1. The total mean score of QoL was 66.69, physical stability was 19.13, social stability was 18.04, emotional stability was 16.19, function status was 13.32. The highest result was in physical stability, whereas function status gained the lowest result. The mean score of distress was 4.19, sleep disorder was 3.2, insomnia affecting daily life was 2.45, anxiety symptom was 2.79, anxiety symptom affecting daily life was 2.25, depression was 1.92, depression affecting daily life was 1.68. In categories asking the needs of medical care, it was measured that insomnia was 38.5%, anxiety was 41,7%, depression was 19.9%. 2. The factors affecting in QoL were occupation, expectation of treatment outcome, activity ability, inner strength, symptom experience (the severity of symptom, the severity of disturbance of daily life), and mood state. 3. Higher scores in symptom experience, distress, and mood disorder categories have lower quality of life than those with higher scores of inner strength. 4. As a result of hierarchical analysis, these suggested that occupation status, expectation of treatment outcome (life extension), activity ability, inner strength, and symptom experience (the severity of symptom, the severity of disturbance of daily life) can be beneficial variables of QoL. The model was explained 70.7% of the total variance of quality of life. Cancer as a chronic illness places new demands on patients and families to manage their own care, and it challenges old paradigms that oncology's work is done after treatment. Therefore, to improve the quality of life in women survivors with lung cancer, we need to apply nursing interventions strengthening inner strength, activity ability, performance status, and symptom control.

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