Abstract 4143858: Does Cognition Effect the Outcomes of Two Types of Virtual Cognitive Behavioral Therapy Interventions to Improve Depressive Symptoms in Patients with Cardiovascular Disease?

Background: Depressive symptoms are prevalent in patients with coronary heart disease (CHD) and heart failure (HF) living in rural areas and are associated with worse health outcomes. Cognitive behavioral therapy (CBT) has been shown to be effective at improving depressive symptoms in patients with CHD and HF. Traditional CBT is not accessible to many rural individuals, thus alternative virtual modalities are being tested to ascertain their effectiveness. Cognitive impairment is a core feature of depressive disorders and is prevalent in up to 95% of all clinical depression diagnoses. It is unknown how cognition impacts the reduction of depressive symptoms in patients utilizing virtual CBT interventions. Aim: To determine if cognition moderates the impact of two different modalities of virtual CBT on depressive symptoms over a 12-month period. Methods: This is an on-going 12-month randomized comparative effectiveness trial. Participants with at least mild depressive symptoms were randomly assigned to CBT with either a video-conference with a therapist or a self-directed internet-based application. Depressive symptoms were measured by the Patient Health Questionnaire-9 (PHQ9) and were measured at baseline, 3-, 6-, and 12-months. Cognition was measured at baseline using two instruments, the MOCA and the Mini-Cog. Those with significant cognitive dysfunction were excluded from the study. Scores were standardized from both instruments using Z-scores and separated by the median into lower cognitive function and higher cognitive function. Repeated measures ANOVA was performed to determine whether cognitive function interacted with either intervention to produce an effect on depressive symptoms over time. Results: Participants (n=305) were 58±12 years old, 49% female, and had 13±3 years of education. Baseline PHQ-9 scores showed no significant difference between lower and higher cognition groups. (12±6 vs 11±5, respectively, p=.17). There was no interaction of cognition by intervention group on depressive symptoms (p=0.217). Both intervention groups had significant decreases in depressive symptoms over time (p<0.001 for time effect). There was no between-group difference in improvement of depressive symptoms (p=0.059). Conclusion: Both cognitive groups experience significant symptom reduction with virtual CBT, suggesting effectiveness regardless of cognitive function in rural CHD and HF patients, provided significant cognitive dysfunction is absent.

Authors

Institutions

Publication Details

Journal
Circulation
Published
2024-11-12
DOI
https://doi.org/10.1161/circ.150.suppl_1.4143858
Primary Topic
Cardiac Health and Mental Health
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract 4143858: Does Cognition Effect the Outcomes of Two Types of Virtual Cognitive Behavioral Therapy Interventions to Improve Depressive Symptoms in Patients with Cardiovascular Disease?

Jia Wu, Martha Biddle, Abigail Latimer, Jessica C. Thompson et al.
1 links
Circulation
Cardiac Health and Mental Health
article

Abstract 4143858: Does Cognition Effect the Outcomes of Two Types of Virtual Cognitive Behavioral Therapy Interventions to Improve Depressive Symptoms in Patients with Cardiovascular Disease?

Jia Wu, Martha Biddle, Abigail Latimer, Jessica C. Thompson, JungHee Kang, Geunyeong Cha, Chin‐Yen Lin, Misook L. Chung, Debra K. Moser
article en

Abstract

Background: Depressive symptoms are prevalent in patients with coronary heart disease (CHD) and heart failure (HF) living in rural areas and are associated with worse health outcomes. Cognitive behavioral therapy (CBT) has been shown to be effective at improving depressive symptoms in patients with CHD and HF. Traditional CBT is not accessible to many rural individuals, thus alternative virtual modalities are being tested to ascertain their effectiveness. Cognitive impairment is a core feature of depressive disorders and is prevalent in up to 95% of all clinical depression diagnoses. It is unknown how cognition impacts the reduction of depressive symptoms in patients utilizing virtual CBT interventions. Aim: To determine if cognition moderates the impact of two different modalities of virtual CBT on depressive symptoms over a 12-month period. Methods: This is an on-going 12-month randomized comparative effectiveness trial. Participants with at least mild depressive symptoms were randomly assigned to CBT with either a video-conference with a therapist or a self-directed internet-based application. Depressive symptoms were measured by the Patient Health Questionnaire-9 (PHQ9) and were measured at baseline, 3-, 6-, and 12-months. Cognition was measured at baseline using two instruments, the MOCA and the Mini-Cog. Those with significant cognitive dysfunction were excluded from the study. Scores were standardized from both instruments using Z-scores and separated by the median into lower cognitive function and higher cognitive function. Repeated measures ANOVA was performed to determine whether cognitive function interacted with either intervention to produce an effect on depressive symptoms over time. Results: Participants (n=305) were 58±12 years old, 49% female, and had 13±3 years of education. Baseline PHQ-9 scores showed no significant difference between lower and higher cognition groups. (12±6 vs 11±5, respectively, p=.17). There was no interaction of cognition by intervention group on depressive symptoms (p=0.217). Both intervention groups had significant decreases in depressive symptoms over time (p<0.001 for time effect). There was no between-group difference in improvement of depressive symptoms (p=0.059). Conclusion: Both cognitive groups experience significant symptom reduction with virtual CBT, suggesting effectiveness regardless of cognitive function in rural CHD and HF patients, provided significant cognitive dysfunction is absent.

CirculationVol. 150(Suppl_1)
University of Kentucky (US), Auburn University (US)
Quality Education
Openalex Percentile: Top 62%
Cardiac Health and Mental Health
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.