Dataset Information

Cognitive Function in Heart Failure Is Associated With Nonsomatic Symptoms of Depression But Not Somatic Symptoms.

ABSTRACT: Patients with heart failure (HF) have high rates of cognitive impairment and depressive symptoms. Depressive symptoms have been associated with greater cognitive impairments in HF; however, it is not known whether particular clusters of depressive symptoms are more detrimental to cognition than others.The aim of this study was to identify whether somatic and/or nonsomatic depressive symptom clusters were associated with cognitive function in persons with HF.Participants were 326 HF patients (40.5% women, 26.7% non-white race-ethnicity, aged 68.6 ± 9.7 years). Depressive symptoms were measured using a depression questionnaire commonly used in medical populations: the Patient Health Questionnaire-9. Somatic and nonsomatic subscale scores were created using previous factor analytic results. A neuropsychological battery tested attention, executive function, and memory. Composites were created using averages of age-adjusted scaled scores. Regressions adjusting for demographic and clinical factors were conducted.Regressions revealed that Patient Health Questionnaire-9 total was associated with attention (? = -.14, P = .008) and executive function (? = -.17, P = .001). When analyzed separately, the nonsomatic subscale, but not the somatic symptoms subscale (P values ? .092), was associated with attention scores (? = -.15, P = .004) and memory (? = -.11, P = .044). Both nonsomatic (? = -.18, P < .001) and somatic (? = -.11, P = .048) symptoms were related to executive function. When included together, only the nonsomatic symptom cluster was associated with attention (? = -.15, P = .020) and executive function (? = -.19, P = .003).Greater overall depressive symptom severity was associated with poorer performance on multiple cognitive domains, an effect driven primarily by the nonsomatic symptoms of depression.These findings suggest that screening explicitly for nonsomatic depressive symptoms may be warranted and that the mechanisms underlying the depression-cognitive function relationship in HF are not solely related to sleep or appetite disturbance. Thus, interventions that target patients' somatic symptoms only (eg, poor appetite or fatigue) may not yield maximum cognitive benefit compared with a comprehensive treatment that targets depressed mood, anhedonia, and other nonsomatic symptoms.

SUBMITTER: Hawkins MA

PROVIDER: S-EPMC4303562 | biostudies-other | 2015 Sep-Oct

REPOSITORIES: biostudies-other

ACCESS DATA

Similar Datasets

Project description:BackgroundAlmost 50% of people with heart failure (HF) experience chronic insomnia and must perform self-care to manage their day-to-day healthcare needs. Understanding multifactorial influences on self-care, including demographic, clinical, and sleep characteristics, and mood and somatic symptoms will help identify people at highest risk for poor self-care. However, past research focused only on the associations of single symptoms and self-care. Multivariate approaches are needed to account for the synergistic associations of self-care with sleep, mood, and somatic symptoms among people with HF.ObjectivesThe aims of the study were to (a) evaluate the levels of self-care maintenance and self-care confidence among people with stable HF and chronic insomnia; (b) identify the clinical and demographic correlates of self-care maintenance and confidence among people with stable HF and chronic insomnia; and (c) identify the associations between sleep characteristics, mood and somatic symptoms, and self-care maintenance and confidence among people with stable HF and chronic insomnia.MethodsWe utilized a cross-sectional design with 195 adult participants who had chronic HF and insomnia. We assessed for symptoms of anxiety; depression; dyspnea; fatigue; stress; insomnia severity; and sleep disturbance, impairment, and quality. Self-care was measured using the Self-Care for Heart Failure Index v6.2. We used generalized linear models to test the associations between the demographic and clinical factors and self-care maintenance and confidence; exploratory and confirmatory factor analysis to identify the factor structure underlying the symptoms; and structural equation modeling to test the combined associations of the demographic and clinical factors and latent factors with self-care maintenance and confidence.ResultsSelf-care maintenance, confidence, and management were inadequate in most participants. We identified three latent factors among the nine symptoms: "sleep characteristics," "mood," and "somatic symptoms." In the structural equation model, "sleep characteristics," White race, and having a left ventricular ejection fraction of <45 were associated with self-care maintenance. Age was negatively associated with self-care confidence.DiscussionPoor sleep characteristics negatively influence the ability of people with HF and insomnia to perform self-care behaviors. Knowledge of the associations among age, left ventricular ejection fraction, and race with self-care will help clinicians and future researchers identify those at risk for poor self-care.

Project description:BackgroundAmerican Indians have excess risk of depression, which can contribute to cerebrovascular and cognitive disability, with effects on memory, processing speed, executive function, and visuospatial ability. However, studies examining depression and cognition in American Indians are limited; this study aims to report associations of depression with general cognition, verbal fluency and memory, and processing speed.DesignCohort study.SettingThe Cerebrovascular Disease and its Consequences in American Indians study was an ancillary examination of Strong Heart Study participants from 3 U.S. regions.ParticipantsAll eligible were included in this analysis (N=818).MeasurementsParticipants completed evaluations for depressive symptomology, cognition, and physical function-including Center for Epidemiologic Studies Depression (CESD), Modified Mini-Mental State Examination (3MSE), Wechsler Adult Intelligence Scale-Fourth Edition coding (WAIS), Controlled Oral Word Association (COWA), California Verbal and Learning Test, Halstead finger tapping, grip strength, and Short Physical Performance Battery (SPPB) tests. Linear mixed models were adjusted for site, age, sex, education, income, marital status, alcohol, smoking, diabetes, hypertension, obesity, cholesterol, stroke, infarct, and hemorrhage.ResultsSymptoms of depression were common, with 20% (N=138) endorsing CES-D scores of 16+. More depressive symptoms were associated with older age, female sex, lower education, lower income, non-married status, not using alcohol, not smoking, hypertension, diabetes, and stroke. In adjusted analyses, processing speed (WAIS: β -0.13, 95%CI -0.25, -0.03), general cognition (3MSE: β -0.10, 95%CI -0.17, -0.03), verbal fluency (COWA: β -0.10, 95%CI -0.19, -0.01), and motor function (SPPB: β -0.05, 95%CI -0.07, -0.03) were significantly associated with more symptoms of depression.ConclusionThese findings maybe informative for health disparities populations, especially those with depressive risk. Clinicians may require particular training in cultural humility. Future studies should validate use of the CES-D scale in this population; longitudinal studies may focus on causal mechanisms and potential secondary prevention, such as social support. J Am Geriatr Soc 68:1739-1747, 2020.

Dataset Information

Cognitive Function in Heart Failure Is Associated With Nonsomatic Symptoms of Depression But Not Somatic Symptoms.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets