2.50
Hdl Handle:
http://hdl.handle.net/10755/161598
Type:
Presentation
Title:
Factors Influencing Functional Status in Patients with Chronic Lung Disease
Abstract:
Factors Influencing Functional Status in Patients with Chronic Lung Disease
Conference Sponsor:Midwest Nursing Research Society
Conference Year:2002
Author:Kim, Eui-Geum
P.I. Institution Name:Yonsei University
Title:Assistant Professor
Contact Address:College of Nursing, 134 Shinchon-dong, Sodaemoon-gu, Seoul, 120-740, Korea
Purpose: to identify factors that influence functional status in chronic lung disease patients. Design: descriptive, correlational study. Setting: outpatient respiratory clinic at large university hospital in Korea. Sample: a convenience sample of total 128 chronic lung patients (mean(SD)age=64.2(11.3) years; 106 COPD, 17 bronchiectasis, 5 DILD) with mean (SD) FEV1 64.4% (28.8) predicted. Methods: Functional status was measured with Sickness Impact Profile-short form 68. Physical variables (FEV1% predicted, dyspnea, fatigue), psychological variables (mood, stress), and situational variable (sleep quality) were measured. Dyspnea was measured by the Baseline Dyspnea Index, possible range 0 (severs) - 12 (unimpaired). Fatigue was measured with the Multidimensional Fatigue Inventory. Mood was measured with the Profile of Mood State. Sleep quality was measured with the Pittsburgh Sleep Quality Index. Potential independent variables for the regression were age, gender, years since diagnosis, FEV1% predicted, pulmonary symptom, dyspnea, fatigue, mood, stress, and sleep quality. Results: Functional status was relatively good in this sample (M=13.6, SD=9.40). In regression analysis, functional status were significantly influenced by FEV1 % predicted (beta=.14, t=2.12, p=.04), dyspnea (beta=-.45, t=-5.60, p < .001), overall fatigue (beta=.19, t=2.42, p=0.18), mood (beta=.29, t=3.64, p < .001), and age (beta=.17, t=2.82, p=.006). These model explained 72.5% of the variances in functional status (F (10, 93)=24.5, p< .001). Conclusion: The results suggest that nurses should be aware of the physiological and psychological symptoms to improve functional status in chronic lung disease patients.
Repository Posting Date:
26-Oct-2011
Date of Publication:
17-Oct-2011
Sponsors:
Midwest Nursing Research Society

Full metadata record

DC FieldValue Language
dc.typePresentationen_GB
dc.titleFactors Influencing Functional Status in Patients with Chronic Lung Diseaseen_GB
dc.identifier.urihttp://hdl.handle.net/10755/161598-
dc.description.abstract<table><tr><td colspan="2" class="item-title">Factors Influencing Functional Status in Patients with Chronic Lung Disease</td></tr><tr class="item-sponsor"><td class="label">Conference Sponsor:</td><td class="value">Midwest Nursing Research Society</td></tr><tr class="item-year"><td class="label">Conference Year:</td><td class="value">2002</td></tr><tr class="item-author"><td class="label">Author:</td><td class="value">Kim, Eui-Geum</td></tr><tr class="item-institute"><td class="label">P.I. Institution Name:</td><td class="value">Yonsei University</td></tr><tr class="item-author-title"><td class="label">Title:</td><td class="value">Assistant Professor</td></tr><tr class="item-address"><td class="label">Contact Address:</td><td class="value">College of Nursing, 134 Shinchon-dong, Sodaemoon-gu, Seoul, 120-740, Korea</td></tr><tr><td colspan="2" class="item-abstract">Purpose: to identify factors that influence functional status in chronic lung disease patients. Design: descriptive, correlational study. Setting: outpatient respiratory clinic at large university hospital in Korea. Sample: a convenience sample of total 128 chronic lung patients (mean(SD)age=64.2(11.3) years; 106 COPD, 17 bronchiectasis, 5 DILD) with mean (SD) FEV1 64.4% (28.8) predicted. Methods: Functional status was measured with Sickness Impact Profile-short form 68. Physical variables (FEV1% predicted, dyspnea, fatigue), psychological variables (mood, stress), and situational variable (sleep quality) were measured. Dyspnea was measured by the Baseline Dyspnea Index, possible range 0 (severs) - 12 (unimpaired). Fatigue was measured with the Multidimensional Fatigue Inventory. Mood was measured with the Profile of Mood State. Sleep quality was measured with the Pittsburgh Sleep Quality Index. Potential independent variables for the regression were age, gender, years since diagnosis, FEV1% predicted, pulmonary symptom, dyspnea, fatigue, mood, stress, and sleep quality. Results: Functional status was relatively good in this sample (M=13.6, SD=9.40). In regression analysis, functional status were significantly influenced by FEV1 % predicted (beta=.14, t=2.12, p=.04), dyspnea (beta=-.45, t=-5.60, p &lt; .001), overall fatigue (beta=.19, t=2.42, p=0.18), mood (beta=.29, t=3.64, p &lt; .001), and age (beta=.17, t=2.82, p=.006). These model explained 72.5% of the variances in functional status (F (10, 93)=24.5, p&lt; .001). Conclusion: The results suggest that nurses should be aware of the physiological and psychological symptoms to improve functional status in chronic lung disease patients.</td></tr></table>en_GB
dc.date.available2011-10-26T23:24:01Z-
dc.date.issued2011-10-17en_GB
dc.date.accessioned2011-10-26T23:24:01Z-
dc.description.sponsorshipMidwest Nursing Research Societyen_GB
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