2.50
Hdl Handle:
http://hdl.handle.net/10755/304467
Category:
Abstract
Type:
Presentation
Title:
Predictors of Depression in Chronic Obstructive Pulmonary Disease
Author(s):
Wall, Mary Patricia
Lead Author STTI Affiliation:
Pi
Author Details:
Mary Patricia Wall, PhD, RN, marypat.wall@mail.com
Abstract:

Session presented on: Monday, July 22, 2013

Purpose: Chronic obstructive pulmonary disease (COPD) is a chronic, complex, and progressive disease that affects millions of adults worldwide. Depression is a frequent concomitant diagnosis of chronic illnesses, and is known to influence adherence to patients’ prescribed health care regimens. The purpose of this study was to identify predictors of depression in people with COPD. Findings presented here represent secondary analyses of data from a study of community-dwelling COPD patients.

Methods: Participants were recruited from a pulmonary medicine practice in the mid-Atlantic region of the United States. A total of 119 people participated in the parent study. The mean age (68 + 8 years) was consistent with that of other studies of people with COPD. The sample was fairly equally divided by gender, and was predominately Caucasian. Analyses were conducted with the SPSS software package. Statistical significance was set, a priori, at p < .05.

Results: Measures of well-being (anxiety, life satisfaction, happiness), coping resources (mastery, social support), and physiologic status (functional performance, severity of COPD, comorbid illness), as well as selected demographic variables (age, gender) were included in the regression analysis. Only social support, comorbid illness, and severity of COPD were not statistically significant predictors of depression in this sample (R square = .710, R square adjusted = .683, F [10, 108] = 26.463, p = .000).

Conclusion: Depression is an important consideration in studies of persons with medical diagnoses. It is a common finding in both chronically ill individuals and in the aging population. Variables in several categories were predictors of depression in this group. Knowledge of the multi-faceted nature of depression in this population may give researchers and clinicians insight into potential areas for interventions to address this important issue.

Keywords:
COPD; Quantitative Analysis; Depression
Repository Posting Date:
22-Oct-2013
Date of Publication:
22-Oct-2013
Conference Date:
2013
Conference Name:
24th International Nursing Research Congress
Conference Host:
Sigma Theta Tau International, the Honor Society of Nursing
Conference Location:
Prague, Czech Republic
Description:
24th International Nursing Research Congress Theme: Bridge the Gap Between Research and Practice Through Collaboration. Held at the Hilton Prague Hotel.
Note:
This is an abstract-only submission. If the author has submitted a full-text item based on this abstract, you may find it by browsing the Virginia Henderson Global Nursing e-Repository by author. If author contact information is available in this abstract, please feel free to contact him or her with your queries regarding this submission.

Full metadata record

DC FieldValue Language
dc.language.isoen_USen_GB
dc.type.categoryAbstracten_GB
dc.typePresentationen_GB
dc.titlePredictors of Depression in Chronic Obstructive Pulmonary Diseaseen_GB
dc.contributor.authorWall, Mary Patriciaen_GB
dc.contributor.departmentPien_GB
dc.author.detailsMary Patricia Wall, PhD, RN, marypat.wall@mail.comen_GB
dc.identifier.urihttp://hdl.handle.net/10755/304467-
dc.description.abstract<p>Session presented on: Monday, July 22, 2013</p><b>Purpose: </b>Chronic obstructive pulmonary disease (COPD) is a chronic, complex, and progressive disease that affects millions of adults worldwide. Depression is a frequent concomitant diagnosis of chronic illnesses, and is known to influence adherence to patients’ prescribed health care regimens. The purpose of this study was to identify predictors of depression in people with COPD. Findings presented here represent secondary analyses of data from a study of community-dwelling COPD patients. <p><b>Methods: </b>Participants were recruited from a pulmonary medicine practice in the mid-Atlantic region of the United States. A total of 119 people participated in the parent study. The mean age (68 + 8 years) was consistent with that of other studies of people with COPD. The sample was fairly equally divided by gender, and was predominately Caucasian. Analyses were conducted with the SPSS software package. Statistical significance was set, a priori, at p < .05. <p><b>Results: </b>Measures of well-being (anxiety, life satisfaction, happiness), coping resources (mastery, social support), and physiologic status (functional performance, severity of COPD, comorbid illness), as well as selected demographic variables (age, gender) were included in the regression analysis. Only social support, comorbid illness, and severity of COPD were not statistically significant predictors of depression in this sample (R square = .710, R square adjusted = .683, F [10, 108] = 26.463, p = .000). <p><b>Conclusion: </b>Depression is an important consideration in studies of persons with medical diagnoses. It is a common finding in both chronically ill individuals and in the aging population. Variables in several categories were predictors of depression in this group. Knowledge of the multi-faceted nature of depression in this population may give researchers and clinicians insight into potential areas for interventions to address this important issue.en_GB
dc.subjectCOPDen_GB
dc.subjectQuantitative Analysisen_GB
dc.subjectDepressionen_GB
dc.date.available2013-10-22T20:36:35Z-
dc.date.issued2013-10-22-
dc.date.accessioned2013-10-22T20:36:35Z-
dc.conference.date2013en_GB
dc.conference.name24th International Nursing Research Congressen_GB
dc.conference.hostSigma Theta Tau International, the Honor Society of Nursingen_GB
dc.conference.locationPrague, Czech Republicen_GB
dc.description24th International Nursing Research Congress Theme: Bridge the Gap Between Research and Practice Through Collaboration. Held at the Hilton Prague Hotel.en_GB
dc.description.noteThis is an abstract-only submission. If the author has submitted a full-text item based on this abstract, you may find it by browsing the Virginia Henderson Global Nursing e-Repository by author. If author contact information is available in this abstract, please feel free to contact him or her with your queries regarding this submission.en_GB
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