2.50
Hdl Handle:
http://hdl.handle.net/10755/148871
Type:
Presentation
Title:
Patient Characteristics Predict Depression in Type 2 Diabetes
Abstract:
Patient Characteristics Predict Depression in Type 2 Diabetes
Conference Sponsor:Sigma Theta Tau International
Conference Year:2007
Author:Chapa, Deborah W., PhD, ACNP-BC
P.I. Institution Name:Florida Gulf Coast University
Title:Assistant Professor
Co-Authors:Chi-Wen Kao, PhD, RN; Hyeon Joo Lee, MS, RN; Deborah Jones, PhD, RN; Jane Kapustin, PhD, CRNP; Joan Davenport, PhD, RN; Erika Friedmann, PhD; Sue A. Thomas, PhD, RN, FAAN; Catherine M. Krichten, RN, MS, CRNP, CDE; Thomas W. Donner, MD
[Evidence-based presentation] Problem: Depression occurs in 27% of type 2 diabetics and is more prevalent in women (28%) than in men (18%), in clinical (32%) than in community (20%) samples. Younger diabetics have an increased incidence of depression. Depression leads to poorer outcomes and increased risk of complications in diabetics. Depression is frequently unrecognized, untreated or under-treated in diabetics. Objective: This study was conducted using the biopsychosocial model to examine whether demographic characteristics and diabetes-related co-morbidities predict depression in type 2 diabetes? Design: Cross sectional survey. Population, Sample, Setting: Type 2 diabetics (N=55) aged  (superscript 3) 35 years, 42% female, 36% African American were recruited by convenience sample from an inner city Joslin diabetes clinic. Variables: Dependent: depression: Independent: demographics, diabetes-related macro (coronary artery disease, hyperlipidemia, hypertension, obesity) and micro (nephropathy, neuropathy and retinopathy) co-morbidities. Methods: After informed consent patients completed Beck Depression Inventory-II (BDI, depression) and demographic questionnaires. Complications, height and weight were obtained from the medical record.  Findings: 41% were depressed (BDI >13); 27% moderately or severely depressed [BDI (superscript 3) 20]. All patients had at least 1 diabetes-related co-morbidity; 58% had (superscript 3) 1 micro co-morbidity; 64% had 2-3 macro co-morbidities.  Lower age [Beta=-.388, t=-3.050, p=.004] and being female [Bert=.300, t=2.359, p=.023] were significant independent predictors of depression score (R2=16.4).   Race and interactions of age, gender and race did not add to the prediction. Neuropathy [F(1,45)=3.492, p=.068] tended to add to the prediction of depression score beyond age and gender; other co-morbidities did not. Further examination revealed that both lower age [Beta=-.502, t=-3.876, p<.001] and neuropathy [Beta=.344, t=2.654, p=.011] were independent predictors of depression score (R2=24.9%); gender was not. Conclusion: In type 2 diabetics younger age and neuropathy predicted depression.  Clinicians need to assess depression in type 2 diabetics especially younger patients and those with signs of neuropathy.
Repository Posting Date:
26-Oct-2011
Date of Publication:
17-Oct-2011
Sponsors:
Sigma Theta Tau International

Full metadata record

DC FieldValue Language
dc.typePresentationen_GB
dc.titlePatient Characteristics Predict Depression in Type 2 Diabetesen_GB
dc.identifier.urihttp://hdl.handle.net/10755/148871-
dc.description.abstract<table><tr><td colspan="2" class="item-title">Patient Characteristics Predict Depression in Type 2 Diabetes</td></tr><tr class="item-sponsor"><td class="label">Conference Sponsor:</td><td class="value">Sigma Theta Tau International</td></tr><tr class="item-year"><td class="label">Conference Year:</td><td class="value">2007</td></tr><tr class="item-author"><td class="label">Author:</td><td class="value">Chapa, Deborah W., PhD, ACNP-BC</td></tr><tr class="item-institute"><td class="label">P.I. Institution Name:</td><td class="value">Florida Gulf Coast University</td></tr><tr class="item-author-title"><td class="label">Title:</td><td class="value">Assistant Professor</td></tr><tr class="item-email"><td class="label">Email:</td><td class="value">dchapa@fgcu.edu</td></tr><tr class="item-co-authors"><td class="label">Co-Authors:</td><td class="value">Chi-Wen Kao, PhD, RN; Hyeon Joo Lee, MS, RN; Deborah Jones, PhD, RN; Jane Kapustin, PhD, CRNP; Joan Davenport, PhD, RN; Erika Friedmann, PhD; Sue A. Thomas, PhD, RN, FAAN; Catherine M. Krichten, RN, MS, CRNP, CDE; Thomas W. Donner, MD</td></tr><tr><td colspan="2" class="item-abstract">[Evidence-based presentation] Problem: Depression occurs in 27% of type 2 diabetics and is more prevalent in women (28%) than in men (18%), in clinical (32%) than in community (20%) samples. Younger diabetics have an increased incidence of depression. Depression leads to poorer outcomes and increased risk of complications in diabetics. Depression is frequently unrecognized, untreated or under-treated in diabetics. Objective: This study was conducted using the biopsychosocial model to examine whether demographic characteristics and diabetes-related co-morbidities predict depression in type 2 diabetes? Design: Cross sectional survey. Population, Sample, Setting: Type 2 diabetics (N=55) aged&nbsp; (superscript 3) 35 years, 42% female, 36% African American were recruited by convenience sample from an inner city Joslin diabetes clinic. Variables: Dependent: depression: Independent: demographics, diabetes-related macro (coronary artery disease, hyperlipidemia, hypertension, obesity) and micro (nephropathy, neuropathy and retinopathy) co-morbidities. Methods: After informed consent patients completed Beck Depression Inventory-II (BDI, depression) and demographic questionnaires. Complications, height and weight were obtained from the medical record.&nbsp; Findings: 41% were depressed (BDI &gt;13); 27% moderately or severely depressed [BDI (superscript 3) 20]. All patients had at least 1 diabetes-related co-morbidity; 58% had (superscript 3) 1 micro co-morbidity; 64% had 2-3 macro co-morbidities.&nbsp; Lower age [Beta=-.388, t=-3.050, p=.004] and being female [Bert=.300, t=2.359, p=.023] were significant independent predictors of depression score (R2=16.4).&nbsp;&nbsp; Race and interactions of age, gender and race did not add to the prediction. Neuropathy [F(1,45)=3.492, p=.068] tended to add to the prediction of depression score beyond age and gender; other co-morbidities did not. Further examination revealed that both lower age [Beta=-.502, t=-3.876, p&lt;.001] and neuropathy [Beta=.344, t=2.654, p=.011] were independent predictors of depression score (R2=24.9%); gender was not.&nbsp;Conclusion: In type 2 diabetics younger age and neuropathy predicted depression.&nbsp; Clinicians need to assess depression in type 2 diabetics especially younger patients and those with signs of neuropathy.</td></tr></table>en_GB
dc.date.available2011-10-26T09:52:04Z-
dc.date.issued2011-10-17en_GB
dc.date.accessioned2011-10-26T09:52:04Z-
dc.description.sponsorshipSigma Theta Tau Internationalen_GB
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