Exploring the relationships among Demographic characteristics, disease status, Depression and quality of life in chronic obstructive pulmonary disease patients

碩士 === 慈濟大學 === 護理研究所 === 98 === According to the Ministry of the Interior, elderly population in Taiwan area will amount of 10.2% of the population by the end of 2008, while chronic obstructive pulmonary disease (COPD) has turned into a frequent geriatric disease as the patients will, aside from mo...

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Bibliographic Details
Main Authors: Yu-Ching Hung, 洪郁晴
Other Authors: Ru-Ping Lee
Format: Others
Language:zh-TW
Published: 2010
Online Access:http://ndltd.ncl.edu.tw/handle/23936294468290956297
Description
Summary:碩士 === 慈濟大學 === 護理研究所 === 98 === According to the Ministry of the Interior, elderly population in Taiwan area will amount of 10.2% of the population by the end of 2008, while chronic obstructive pulmonary disease (COPD) has turned into a frequent geriatric disease as the patients will, aside from more receiving evident physiological obstruction, have complication from psychological and social aspect. The study points out that depression emotion of COPD patients are highlighted by 3 times to those patients of regular internal medicine, while the depression status of COPD is closely related to the quality of life. Besides, severity of disease is also considered as one of effective and often seen benchmarks for prediction of quality of life and status of functions. In current investigation of domestic literature, there is not yet study that conducts investigation on relationship between disease status, degree of depression, and quality of life among COPD patients. Therefore, the purpose of this study is to explore relationship between demographic characteristics of COPD patients, disease status, degree of depression, and quality of life, and explore prediction factors that affect quality of life among the patients. This study has employed cross-sectional correlation design and resorted to convenience sampling to select 68 COPD patients at a certain regional hospital of Hualien, while structural questionnaire is used to conduct interview. Information statistics has exploited employed SPSS for Window 10.0 veri0osn, using mean, standard deviation, percentage, independent samples t-test, one way ANOVA, Pearson’s correlation, and stepwise multiple regions to carry statistic analysis. As indicated from the research results, about one-fifth of 68 COPD patients have depression tendency (19.1%); besides, the total score for depression among female, patients living alone or living with care-taker as primary care, or those without religion, under retirement, free from smoking habit, or those patients seek medical care from emergency ward, hospitalized patients, and patients living at home and counting on oxygen is relatively higher. It is further found discovered that if FEV1 and FEV1/FVC value is lower their status of depression will be higher, and COPD patients having more occasions to stay at hospital, considering with greater difficulty of breathing, or finding their disease getting more serious are reckoned to have relatively serious depression. In addition, if depression is getting serious their quality of life will be worse. As indicated from demographic characteristics, those patients who are without religious belief display with worse quality of life as viewed from study results, regardless if it is viewed their physiological, psychological, social, and environmental domain, and the entirety of quality of life. Furthermore, patients with family care enjoy better quality of life than those with none, while patients with family care yet still having smoking habit are found with prominently better psychological quality of life than those who quitted smoking. For scope environment of quality of life for smoking group, they enjoy far better quality than those who have never smoked or quitted smoking. Prediction factors for quality of life are as “degree of depression,” and “self-awareness of severity of disease,” and these two variables can interpret 69.9% of the variance. The results of this study can offer clinical nursing suggestions to reduce impact of disease on patients, and can be used as criteria to implement clinical COPD nursing measures to enhance their psychological health and their quality of life.