| Summary: | 碩士 === 臺北醫學大學 === 護理學研究所 === 94 === The purpose of this study is to explore the related factors, correlations, and predictors of fatigue, depression, and sleep quality in patients with lung cancer. The research subjects originate from the chest medicine department and oncology ward of a medical center and a regional teaching hospital in the North. Purposive sampling was used to collect 147 lung cancer patients who were evaluated according to research design of descriptive correlational and cross-sectional design. Research instruments included “Brief Fatigue Inventory-Taiwan form,” “Hospital Anxiety and Depression Scale,” “Pittsburgh Sleep Quality index.”The data are analyzed by descriptive statistical analysis, t-test, one-way ANOVA, Pearson’s correlation, and multiple regression.The findings are as follows:
1. The seriousness of fatigue in lung cancer patients had a mean value of 5.85 points, the degree of fatigue was medium. As for depression, the mean value was 9.87 points, constituting a state in which depression was suspected. Regarding sleep quality, the mean score was 10.86 points, in the category of poor sleep quality.
2. Gender, occupation, and seriousness of fatigue showed a significant statistical difference, but there was no significant statistical difference between fatigue and marital status, religion, residency, main caregiver, age, and years in education. Gender, occupation, main caregiver showed a significant statistical difference with respect to quality of sleep, but there was no significant statistical difference between sleep quality and marital status, religion, residency, age, and years in education.
3. KPS score, the lung cancer symptom scale (pain, dyspnea, and cough) had a significantly negative correlation with fatigue, depression, as well as sleep quality. Cancer type, whether metastatsis, occurred, whether the patient had underwent an operation, and treatment method did not show a statistically significant different with respect to fatigue, depression, and sleep quality. The time of suffering from the illness and skin fold did not show a significant correlation to fatigue, depression, and sleep quality. Albumin value did not have a significant statistical difference with respect to fatigue and depression, but it had a negative correlation to sleep quality.
4. Fatigue seriousness, depression, and sleep quality in cancer patients showed a positive correlation. Gender, KPS score, and seriousness of depression were important predictive factors for fatigue. KPS score, fatigue seriousness, and sleep quality were important predictive factors for depression. The seriousness of depression was an important predictive factor for sleep quality.
The research results showed that the majority of lung cancer patients had the problems of fatigue, depression, and poor sleep quality, many of whom had at least a seriousness level of medium. The results of the study provide more understanding and greater care quality of lung cancer patients.
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