Abstract 4363460: Depressive Symptoms Predict Sleep-Related Functional Outcomes in Rural Patients with Cardiovascular Disease

Background: Sleep disturbances are prevalent in individuals with cardiovascular disease (CVD) and can have a substantially negative impact on daily functioning (e.g., reading, working, driving, and decision-making), also known as sleep-related functional outcomes. However, the relative contribution of demographic and clinical factors, cognitive function, health literacy, and depressive symptoms on sleep-related functional outcomes remains poorly understood. Objective: To examine the influence of demographic and clinical factors, cognitive function, health literacy, and level of depressive symptoms on sleep-related functional outcomes in depressed rural patients with CVD. Methods: We conducted secondary analyses using data from a large longitudinal randomized controlled trial and developed a hierarchical multiple linear regression model in depressed rural patients with CVD (N = 257; mean age 57±13; 47% women). Predictors of sleep-related functional outcomes were entered in five blocks, 1) demographic (age, sex, marital status, financial status), 2) New York Heart Association (NYHA) functional class, 3) cognitive function (Montreal Cognitive Assessment), 4) health literacy (Newest Vital Sign), and 5) depressive symptoms, (Patient Health Questionnaire-9). Sleep-related functional outcomes were measured using the Functional Outcome of Sleep Questionnaire-10 (FOSQ-10). Results: The final model significantly predicted sleep-related functional outcome (R 2 = 0.135, adjusted R 2 = 0.108, p < .001). Among all predictors, only depressive symptoms were independently associated with sleep-related functional outcomes (B = -0.363, p < .001), indicating that greater depressive symptom burden was independently associated with worse sleep-related functioning. Demographic characteristics, NYHA class, cognitive scores, and health literacy were not significant predictors in the final model. Conclusion: Depressive symptoms were the strongest and only significant predictors of sleep-related functional outcomes in rural depressed patients with CVD. These findings underscore the importance of integrating routine mental health screening and intervention, particularly for depressive symptoms, into cardiovascular care to address sleep-related functional outcomes.

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Journal
Circulation
Published
2025-11-03
DOI
https://doi.org/10.1161/circ.152.suppl_3.4363460
Primary Topic
Cardiovascular Health and Risk Factors
Type
article
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article

Abstract 4363460: Depressive Symptoms Predict Sleep-Related Functional Outcomes in Rural Patients with Cardiovascular Disease

Martha Biddle, JungHee Kang, Geunyeong Cha, Chin‐Yen Lin et al.
Circulation
Cardiovascular Health and Risk Factors
article

Abstract 4363460: Depressive Symptoms Predict Sleep-Related Functional Outcomes in Rural Patients with Cardiovascular Disease

Martha Biddle, JungHee Kang, Geunyeong Cha, Chin‐Yen Lin, Misook L. Chung, Debra K. Moser, Ashmita Thapa, Jia-Rong Wu
article en

Abstract

Background: Sleep disturbances are prevalent in individuals with cardiovascular disease (CVD) and can have a substantially negative impact on daily functioning (e.g., reading, working, driving, and decision-making), also known as sleep-related functional outcomes. However, the relative contribution of demographic and clinical factors, cognitive function, health literacy, and depressive symptoms on sleep-related functional outcomes remains poorly understood. Objective: To examine the influence of demographic and clinical factors, cognitive function, health literacy, and level of depressive symptoms on sleep-related functional outcomes in depressed rural patients with CVD. Methods: We conducted secondary analyses using data from a large longitudinal randomized controlled trial and developed a hierarchical multiple linear regression model in depressed rural patients with CVD (N = 257; mean age 57±13; 47% women). Predictors of sleep-related functional outcomes were entered in five blocks, 1) demographic (age, sex, marital status, financial status), 2) New York Heart Association (NYHA) functional class, 3) cognitive function (Montreal Cognitive Assessment), 4) health literacy (Newest Vital Sign), and 5) depressive symptoms, (Patient Health Questionnaire-9). Sleep-related functional outcomes were measured using the Functional Outcome of Sleep Questionnaire-10 (FOSQ-10). Results: The final model significantly predicted sleep-related functional outcome (R 2 = 0.135, adjusted R 2 = 0.108, p < .001). Among all predictors, only depressive symptoms were independently associated with sleep-related functional outcomes (B = -0.363, p < .001), indicating that greater depressive symptom burden was independently associated with worse sleep-related functioning. Demographic characteristics, NYHA class, cognitive scores, and health literacy were not significant predictors in the final model. Conclusion: Depressive symptoms were the strongest and only significant predictors of sleep-related functional outcomes in rural depressed patients with CVD. These findings underscore the importance of integrating routine mental health screening and intervention, particularly for depressive symptoms, into cardiovascular care to address sleep-related functional outcomes.

CirculationVol. 152(Suppl_3)
University of Kentucky (US), Vanderbilt University (US), University of Tennessee System (US), Knoxville College (US), University of Tennessee at Knoxville (US), Auburn University (US)
Openalex Percentile: Top 51%
Cardiovascular Health and Risk Factors
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