Association between sleep-disordered breathing, sleep-wake pattern, and cognitive impairment among patients with chronic heart failure

Correlates of cognition among people with chronic heart failure and insomnia

PURPOSE

This study aimed to describe cognitive characteristics and their associations with demographic and clinical factors among adults with chronic heart failure (HF) and insomnia.

METHODS

We performed a cross-sectional analysis of baseline data from the HeartSleep Study (NCT#02,660,385), a randomized controlled trial designed to evaluate the effects of cognitive-behavioral therapy for insomnia. Demographic characteristics and health history were obtained. We measured sleep characteristics with the Insomnia Severity Index, the PROMIS Sleep Disturbance Questionnaire, and wrist actigraphy. Sleepiness, stress, and quality of life were measured with validated questionnaires. Measures of cognition included frequency of lapses on the psychomotor vigilance test and the PROMIS cognitive abilities scale where ≥ 3 lapses and a score of ≤ 50, respectively, suggested impairment. These variables were combined into a composite score for multivariable analyses.

RESULTS

Of a sample that included 187 participants (58% male; mean age 63.1 [SD = 12.7]), 77% had New York Heart Association class I or II HF and 66% had HF with preserved ejection fraction. Common comorbidities were diabetes (35%), hypertension (64%), and sleep apnea (54%). Impaired vigilant attention was associated with non-White race, higher body mass index, less education, and more medical comorbidities. Self-reported cognitive impairment was associated with younger age, higher body mass index, and pulmonary disease. On adjusted analysis, significant risk factors for cognitive impairment included hypertension (OR 1.94), daytime sleepiness (OR 1.09), stress (OR 1.08), and quality of life (OR 0.12).

CONCLUSIONS

Impaired cognition is common among people with chronic HF and insomnia and associated with hypertension, daytime sleepiness, stress, and poor quality of life.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: Insomnia Self-management in Heart Failure; NCT#02,660,385.

Sleep-related predictors of cognition among adults with chronic insomnia and heart failure enrolled in a randomized controlled trial of cognitive behavioral therapy for insomnia

STUDY OBJECTIVES

Cognitive impairment and insomnia are common in chronic heart failure (HF). We examined the effects of cognitive behavioral therapy for insomnia (CBT-I) and the extent to which demographic, clinical, symptom, and functional characteristics predicted cognition among people with chronic HF and insomnia who participated in a randomized controlled trial of CBT-I.

METHODS

Participants with HF were randomized to group-based CBT-I or an attention control (HF self-management education). Outcomes were measured over 1 year. We measured psychomotor vigilance and self-reported cognitive ability (PROMIS Cognitive Abilities Scale), clinical and demographic characteristics, history of sleep apnea, fatigue, pain, insomnia (Insomnia Severity Index), sleepiness (Epworth Sleepiness Scale), Six Minute Walk, EuroQoL Quality of Life, and wrist actigraphy (sleep characteristics and rest-activity rhythms). We used cosinor analysis to compute rest-activity rhythms and general linear models and general estimating equations to test the effects of predictors over 1 year.

RESULTS

The sample included 175 participants (mean age = 63 SD = 12.9 Years; 43% women). There was a statistically significant group-time effect on self-reported cognitive function and increases in the proportion of participants, with < 3 psychomotor vigilance lapses in the CBT-I group. Controlling for group-time effects and baseline cognition, decreased sleepiness, improved rest-activity rhythms, and 6-minute walk distance predicted a composite measure of cognition (psychomotor vigilance lapses and self-reported cognition).

CONCLUSIONS

CBT-I may improve cognition in adults with chronic HF. A future fully powered randomized controlled trial is needed to confirm the extent to which CBT-I improves multiple dimensions of cognition.

CLINICAL TRIAL REGISTRATION

Registry: ClinicalTrials.gov; Name: Cognitive Behavioral Therapy for Insomnia: A Self-Management Strategy for Chronic Illness in Heart Failure; URL: https://clinicaltrials.gov/ct2/show/NCT02660385; Identifier: NCT02660385.

CITATION

Redeker NS, Conley S, O'Connell M, Geer JH, Yaggi H, Jeon S. Sleep-related predictors of cognition among adults with chronic insomnia and heart failure enrolled in a randomized controlled trial of cognitive behavioral therapy for insomnia. J Clin Sleep Med. 2023;19(6):1073-1081.

Association of sleep duration and physical frailty with cognitive function in older patients with coexisting atrial fibrillation and heart failure

AIM

To investigate the associations of sleep duration and physical frailty with cognitive function in older patients with both atrial fibrillation and heart failure.

DESIGN

This study used a cross-sectional, secondary data analysis design.

METHOD

We included outpatients aged ≥ 65 years with coexisting atrial fibrillation and heart failure in South Korea. We used a sample of 176 patients (men = 100) with HF among 277 data from the parent study. The data were collected through a self-report, structured questionnaire and electronic medical record.

RESULTS

Our main finding showed that long sleep duration and physically frail status were significant predictors of cognitive impairment in older adults with both atrial fibrillation and heart failure. Healthcare providers should be aware of the importance of assessing sleep duration and physical activity in older adults with both atrial fibrillation and heart failure to prevent or delay cognitive impairment.

Prevalence and Incidence of Cognitive Impairment and Dementia in Heart Failure - A Systematic Review, Meta-Analysis and Meta-Regression

INTRODUCTION

The burden of cognitive impairment in HF patients is significant and leads to longer hospital stay, higher readmission rates, and increased mortality. This review seeks to synthesize the available studies to determine the prevalence and incidence of cognitive impairment and dementia in HF patients.

METHODS

PubMed, Embase, PsychoINFO and Cochrane databases were systematically searched from their inception through to 3 May 2021. Study and population characteristics, total patients with HF, prevalence of cognitive impairment and dementia in HF patients and cognitive assessment tool were abstracted by two reviewers.

RESULTS

In heart failure patients, overall prevalence for cognitive impairment and dementia was 41.42% (CI) and 19.79% (dementia) respectively. We performed a meta-regression analysis which demonstrated that the risk of cognitive impairment and dementia increased with age.

DISCUSSION

Further research should investigate whether HF accelerates the rate of cognitive decline and the progression of dementia.

Brain Imaging Changes and Related Risk Factors of Cognitive Impairment in Patients With Heart Failure

Background/Aims

To explore the imaging changes and related risk factors of heart failure (HF) patients with cognitive impairment (CI).

Methods

A literature search was systematically carried out in PubMed, Web of Science, Embase, and Cochrane Library. In this systematic review, important relevant information was extracted according to the inclusion and exclusion criteria. The methodological quality was assessed by three scales according to the different study types.

Results

Finally, 66 studies were included, involving 33,579 patients. In the imaging changes, the severity of medial temporal lobe atrophy (MTA) and the decrease of gray Matter (GM) volume were closely related to the cognitive decline. The reduction of cerebral blood flow (CBF) may be correlated with CI. However, the change of white matter (WM) volume was possibly independent of CI in HF patients. Specific risk factors were analyzed, and the data indicated that the increased levels of B-type natriuretic peptide (BNP)/N-terminal pro-B-type natriuretic peptide (NT-proBNP), and the comorbidities of HF, including atrial fibrillation (AF), diabetes mellitus (DM) and anemia were definitely correlated with CI in patients with HF, respectively. Certain studies had also obtained independent correlation results. Body mass index (BMI), depression and sleep disorder exhibited a tendency to be associated with CI. Low ejection fraction (EF) value (<30%) was inclined to be associated with the decline in cognitive function. However, no significant differences were noted between heart failure with preserved ejection fraction (HFpEF) and heart failure with reduced ejection fraction (HFrEF) in cognitive scores.

Conclusion

BNP/NT-proBNP and the comorbidities of HF including AF, DM and anemia were inextricably correlated with CI in patients with HF, respectively. These parameters were independent factors. The severity of MTA, GM volume, BMI index, depression, sleep disorder, and low EF value (<30%) have a disposition to associated with CI. The reduction in the CBF volume may be related to CI, whereas the WM volume may not be associated with CI in HF patients. The present systematic review provides an important basis for the prevention and treatment of CI following HF.

Insomnia and Insomnia Symptoms in Persons With Heart Failure: An Integrative Review

BACKGROUND/OBJECTIVE

Insomnia and insomnia symptoms are highly prevalent in persons with heart failure (HF), and they are associated with several untoward outcomes. The purpose of this integrative review is to describe the correlates, predictors, and outcomes of insomnia and insomnia symptoms in persons with HF.

METHODS

Using integrative review methods, an extensive electronic search of 5 databases was conducted for the period of 2000-2019. Sixteen studies were identified that met the inclusion criteria for review and investigated insomnia or insomnia symptoms in HF.

RESULTS

Various sociodemographic factors, chronic comorbidities, clinical factors, and cognitive-behavioral factors are correlates and predictors of insomnia and insomnia symptoms in persons with HF. Depression, fatigue, daytime sleepiness, poor self-reported physical functioning, decreased exercise capacity, cardiac events, and poor health-related quality of life are significant outcomes of insomnia and insomnia symptoms in persons with HF. The associations of insomnia and insomnia symptoms with age, sex, sleep-disordered breathing, and cognition were not consistent across all studies.

CONCLUSION

Larger studies with diverse age and race groups as well as longitudinal studies and designs that test mediation effects are needed to disentangle complex relationships between insomnia and insomnia symptoms and several of their potential predictors and correlates in HF.

Relationship between sleep and cognitive function in patients with heart failure: A systematic review

OBJECTIVE

The aim of this systematic review is to synthesize relevant evidence and illustrate the relationship between sleep and cognitive function in patients with heart failure.

METHODS

A literature search was conducted on Embase, PubMed, Web of Science, CINAHL, PsychINFO, Cochrane Library, China National Knowledge Infrastructure (CNKI) and Wan Fang to identify relevant studies.

RESULTS

Seven studies, which enrolled a total of 1218 heart failure patients, were included in this review. These articles investigating the relationship between sleep and cognitive performance in patients with heart failure had inconsistent results. Five studies confirmed that sleep quality and insomnia were significantly associated with cognitive function, including global cognition, attention, and executive function, whereas the other two studies indicated no statistically significant relationship between sleep and cognitive function.

CONCLUSION

Although limited evidence restricts the overall conclusions, this review might provide new opportunities to identify patients with heart failure that are at high risk for cognitive decline. Further studies across a longer period are needed to confirm the relationship between sleep and cognitive function in patients with heart failure.

Integrating assessment of cognitive status in elderly cardiovascular care

Cardiovascular clinicians tend to pay little attention to issues related to cognition, and yet those caring for older adults will encounter a variety of conditions that may lead to cognitive impairment. Most commonly, these include cardiovascular disease-specific conditions such as cerebrovascular disease or heart failure, but may also include neurodegenerative conditions, mood disorders, medication side effects and polypharmacy, and nutritional deficiencies and metabolic derangements among others. This review presents evidence supporting the importance of assessing cognitive status in older adults with cardiovascular disease, and suggests a practical approach to assessment and management of cognitive impairment in this population when it is found. Special attention is paid to the importance of collaboration between cardiovascular and geriatric specialists, and the value it may bring to patients.

Self-efficacy Mediates the Relationship Between Motivation and Physical Activity in Patients With Heart Failure

BACKGROUND

Motivation is necessary in patients with heart failure (HF) who are attempting to become more physically active but may not be sufficient to initiate physical activity. Self-efficacy might explain the relationship between motivation and physical activity.

OBJECTIVE

The aim of this study was to examine the role of exercise self-efficacy in the relationship between exercise motivation and physical activity in patients with HF.

METHODS

A total of 100 stable patients with HF (88% in New York Heart Association class II/III; mean age, 67 ± 13 years; 62% men) were studied. Self-efficacy was measured with the Exercise Self-Efficacy Scale; motivation, with the Exercise Motivation Index; and physical activity, with a self-report questionnaire. Logistic regression analyses were made to examine the mediation effect of exercise self-efficacy on the relationship between exercise motivation and physical activity.

RESULTS

Forty-two percent of the 100 patients reported engaging in less than 60 minutes per week of physical activity. Motivation predicted physical activity (b = 0.58, P < .05), but after controlling for self-efficacy, the relationship between motivation and physical activity was no longer significant (b = 0.76, P = .06), indicating full mediation.

CONCLUSION

Motivation to be physically active is important but not sufficient. In addition to a high level of motivation to be physically active, it is important that patients with HF have a high degree of self-efficacy.

A phenotype of increased sleepiness in a mouse model of pulmonary hypertension and right ventricular hypertrophy

The relationship between cardiovascular disease and abnormalities in sleep architecture is complex and bi-directional. Sleep disordered breathing (SDB) often confounds human studies examining sleep in the setting of heart failure, and the independent impact of isolated right or left heart failure on sleep is difficult to assess. We utilized an animal model of right heart failure using pulmonary artery banding (PAB) in mice to examine the causal effect of right heart failure on sleep architecture. Four weeks after PAB or sham (control) surgery, sleep was measured by polysomnography for 48 hours and right ventricular (RV) hypertrophy confirmed prior to sacrifice. PAB resulted in right ventricular hypertrophy based on a 30% increase in the Fulton Index (p < 0.01). After PAB, mice spent significantly more time in NREM sleep compared to the control group over a 24 hour period (53.5 ± 1.5% vs. 46.6 ± 1.4%; p < 0.01) and exhibited an inability to both cycle into REM sleep and decrease delta density across the light/sleep period. Our results support a phenotype of impaired sleep cycling and increased ‘sleepiness’ in a mouse model of RV dysfunction.

The association of sleep-disordered breathing and white matter hyperintensities in heart failure patients

Heart failure patients often manifest white matter hyperintensites on brain magnetic resonance imaging (MRI). White matter hyperintnsities have also been linked with cognitive problems in patients with heart failure. Sleep disordered breathing may contribute to structural brain changes in heart failure. The purpose of this study was to test the extent to which the apnea hypopnea index is associated with global and regional white matter hyperintensities, and is a moderating factor in the relationship between age and white matter hyperintensites. A total of 28 HF patients [mean age (SD) = 67.89 (5.8)] underwent T1-weighted and T2FLAIR MRI and a home sleep monitoring study. The apnea hypopnea index cut off of 10 was used to compare between higher and lower risks of sleep disordered breathing. Regression analysis was used to test the association between apnea hypopnea index and both global and regional white matter hyperintensities. The interaction term was entered to identify the moderation effect. Apnea hypopnea index was associated with higher regional white matter hyperintensities but not global white matter hyperintensities. There was a significant interaction between the apnea hypopnea index and age, such that older participants with the apnea hypopnea index ≥10 showed greater regional white matter hyperintensities than those with the apnea hypopnea index <10. The results of this preliminary study indicate that a higher apnea hypopnea index is associated with more white matter hyperintensities. The age-related white matter hyperintensities appear to be exacerbated by apnea hypopnea index in our individuals with heart failure. Future studies are needed to further investigate the underlying mechanisms.

Multimodal brain imaging investigation of self-reported sleep quality and daytime sleepiness in older adults with heart failure

PURPOSE OF THE STUDY

Individuals with heart failure (HF) have a high frequency of sleep problems. Patients with HF present with structural brain changes different from normal aging including reductions in brain volume, increases in white matter hyperintensity (WMH) and reduced cerebral blood flow. These structural changes in the brain may explain the pathophysiology of sleep and daytime problems. The objective of this study was to determine whether multimodal imaging data are related to self-reported sleep problems and daytime sleepiness in older adults with HF.

METHODS

Participants in this study underwent magnetic resonance imaging scans on the General Electric 3.0 T Discovery MR750 to acquire WMH, cerebral blood flow and brain volume. Data on 37 stable HF patients (mean age = 68; SD = 5.75) were included.

RESULTS

In this sample, WMH was associated with daytime sleepiness (p = 0.025). However, gray and white matter volume and cerebral blood flow were not associated with daytime sleepiness, sleep quality or insomnia.

CONCLUSION

Although further studies are needed to determine the relationship between WMH and sleep and daytime problems, the findings preliminarily support that increases in WMH from ischemic changes could explain increases in daytime sleepiness among people with HF.

Sleep quality and daytime sleepiness are not associated with cognition in heart failure

BACKGROUND

Individuals with heart failure (HF) exhibit comorbid impairments in both sleep and cognitive performance. Sleep quality has been associated with impaired cognitive performance in HF patients, but reports are inconsistent. In this study, we examined associations between sleep quality, daytime sleepiness, and cognitive function in HF.

METHODS AND RESULTS

Participants were 267 (age = 69.1 ± 9.3) mostly Caucasian (74.9%), male (59.6%) stable HF patients recruited from outpatient settings. This cross-sectional study was a secondary analysis of a prospective observational study. Cognitive function domains assessed included: global cognitive function, attention, memory, and executive function. Sleep quality and daytime sleepiness were assessed using the Pittsburgh Sleep Quality Index (PSQI) and the Epworth Sleepiness Scale (ESS), respectively. Separate multiple hierarchical linear regressions were conducted to determine associations between cognitive function and sleep quality and daytime sleepiness, after controlling for sex, New York Heart Association (NYHA) class, education, depressive symptoms, and medical comorbidities. Cognitive function was not associated with sleep quality or daytime sleepiness after alpha inflation corrections were applied.

CONCLUSIONS

Cognitive function in HF is not associated with sleep quality or daytime sleepiness; other factors may exert greater influence on cognitive performance.

Sleep-disordered breathing, brain volume, and cognition in older individuals with heart failure

BACKGROUND AND PURPOSE

Sleep-disordered breathing is common in individuals with heart failure and may contribute to changes in the brain and decreased cognition. However, limited research has explored how the apnea-hypopnea index contributes to brain structure and cognition in this population. The aims of this study were to explore how the apnea-hypopnea index is associated with brain volume and cognition in heart failure patients.

METHODS

Data of 28 heart failure patients (mean age = 67.93; SD = 5.78) were analyzed for this cross-sectional observational study. We evaluated the apnea-hypopnea index using a portable multichannel sleep-monitoring device. All participants were scanned using 3.0 Tesla magnetic resonance imaging and neuropsychological tests. Brain volume was evaluated using a voxel-based morphometry method with T1-weighted images. We used multiple regressions to analyze how the apnea-hypopnea index is associated with brain volume and cognition.

RESULTS

We found an inverse association between apnea-hypopnea index scores and white matter volume (β = -0.002, p = 0.026), but not in gray matter volume (β = -0.001, p = 0.237). Higher apnea-hypopnea index was associated with reduced regional gray and white matter volume (p < 0.001, uncorrected). Cognitive scores were not associated with the apnea-hypopnea index (p-values were >0.05).

CONCLUSION

Findings from this study provide exploratory evidence that higher apnea-hypopnea index may be associated with greater brain volume reduction in heart failure patients. Future studies are needed to establish the relationship between sleep-disordered breathing, brain volume, and cognition in heart failure samples.

Is Obstructive Sleep Apnoea Related to Neuropsychological Function in Healthy Older Adults? A Systematic Review and Meta-Analysis

Previous systematic reviews and meta-analyses have identified cognitive deficits in adults with obstructive sleep apnoea (OSA). However, quantitative analysis of the association between OSA and neuropsychological performance has not been conducted specifically in older adults, for whom there is a greater risk of cognitive decline. We searched Medline, Embase and PsycINFO through August 2016 for studies describing associations between OSA and neuropsychological outcomes in people aged>50 years. Meta-analyses were performed on these studies for overall cognition and within cognitive domains. Subgroup analyses were performed taking into account risk of bias and moderating differences in study design. 13 studies met eligibility criteria for analysis. A small negative association was found between OSA and all neuropsychological outcomes combined, g=0.18(95% CI 0.04-0.32), and in memory and processing speed domains. Small case-control studies from sleep clinic populations observed the greatest associations, while larger cohort studies from community samples illustrated no association. Analysis accounting for publication bias resulted in a null overall association, g=0.02 (95%CI -0.12 to 0.16). Associations between OSA and cognition in later life are highly variable and the findings differ based on the type and setting of study. It appears some older adults may be at risk of cognitive impairments attributable to OSA; however, the risk of bias renders the evidence inconclusive. High quality research is warranted in clinically diagnosed OSA patients as well as those already experiencing neuropsychological impairment and who may be regarded at higher risk of further cognitive decline.

Cognitive problems following hematopoietic stem cell transplant: relationships with sleep, depression and fatigue

Cognitive problems are a significant, persistent concern for patients undergoing hematopoietic stem cell transplant (HSCT). Sleep is important for many cognitive tasks; however, the relationship between sleep and cognitive problems for HSCT patients is unknown. This study examined the relationship between sleep and cognitive problems for HSCT patients from pre to post transplant. Patients undergoing HSCT (N=138) completed questionnaires at pre-transplant and during the 12 months following transplant. Questionnaires assessed sleep and cognitive problems as well as commonly co-occurring symptoms: depressive symptoms, fatigue and pain. Post hoc analyses examined the relationship of specific sleep problems with cognitive problems. Sleep problems covaried with cognitive problems even after controlling for depressive symptoms, fatigue and pain. Depressive symptoms and fatigue were also uniquely related to cognitive problems. Post hoc analyses suggest that sleep somnolence, shortness of breath, snoring and perceptions of inadequate sleep may contribute to the association found between sleep and cognitive problems. Findings suggest that sleep problems are associated with and may contribute to cognitive problems for HSCT patients. However, sleep problems are rarely screened for or discussed during clinic visits. Assessing and treating specific sleep problems in addition to depressive symptoms and fatigue may have implications for improving cognitive problems for HSCT patients.

The Role of Heart Failure, Daytime Sleepiness, and Disturbed Sleep on Cognition

Disturbed sleep and daytime sleepiness may interfere with possible direct relationships between heart failure (HF) and cognition, yet there is limited research investigating this relationship. We aimed to investigate possible mediating roles of disturbed sleep and daytime sleepiness on the relationship between HF and selected cognitive domains among individuals with and without HF. In a cross-sectional design study, we examined the data of 841 older adults with and without HF from the Aging, Demographics, and Memory Study (ADAMS). We found individuals with HF were likely to have a higher degree of disturbed sleep and daytime sleepiness. Both disturbed sleep and daytime sleepiness were significant predictors of cognition. We found that only daytime sleepiness mediated the relationship between the presence of HF and cognitive domains, such as in attention, memory, and executive function after controlling for covariates. Interventions to improve daytime sleepiness among individuals with HF may also help improving cognition.

Management of Noncardiac Comorbidities in Chronic Heart Failure

Prevalence of heart failure is increasing, especially in the elderly population. Noncardiac comorbidities complicate heart failure care and are increasingly common in elderly patients with reduced or preserved ejection fraction heart failure, owing to prolongation of patient's lives by advances in chronic heart failure (CHF) management. Common comorbidities include respiratory disease, renal dysfunction, anemia, arthritis, obesity, diabetes mellitus, cognitive dysfunction, and depression. These conditions contribute to the progression of the disease and may alter the response to treatment, partly as polypharmacy is inevitable in these patients. Cardiologists and other physicians caring for patients with CHF need to be vigilant to comorbid conditions that complicate the care of these patients. There is now more guidance on management of noncardiac comorbidities in heart failure, and this article contains a comprehensive review of the most recent updates on management of noncardiac comorbidities in CHF.

Is sleep quality related to cognition in individuals with heart failure?

OBJECTIVE

To examine how self-reported sleep quality and daytime symptoms are associated with selected domains of cognitive function among individuals with heart failure (HF).

BACKGROUND

HF patients suffer from poor sleep quality and cognitive decline. The relationship between sleep and cognition has not been well documented among individuals with HF.

METHODS

In this descriptive, cross-sectional study, 68 individuals with HF (male: 63%, mean age = 72 years, SD = 11) completed sleep questionnaires and a neuropsychological battery.

RESULTS

Participant had mean Pittsburgh Sleep Quality Index score of 5.04 (SD = 2.8). Regression analyses demonstrated neither sleep quality or excessive daytime sleepiness (EDS) were related to cognitive function, but daytime dysfunction was related to lower letter fluency and attention index.

CONCLUSION

Contrary to some earlier reports, subjective sleep and EDS in this group of individuals was not associated with cognitive decline.

Self-reported memory problems in adult-onset cancer survivors: effects of cardiovascular disease and insomnia

BACKGROUND

Cancer and its treatments can deleteriously affect memory. Cardiac function and insomnia can exacerbate memory problems.

OBJECTIVE

To examine the relationships among cardiovascular disease, insomnia, and self-reported memory problems (SRMP) in adult-onset cancer survivors.

METHODS

We included data from participants (41-64 year-old) of the 2007-2008 National Health and Nutrition Examination Survey, a nationally representative probability sample of the civilian, non-institutionalized population of the US. We excluded participants with brain cancer/stroke history since these conditions are expected to cause cognitive problems. Using binary logistic regression, we determined the prevalence of SRMP relative to cardiac problems and insomnia by weighting our results proportionally. We adjusted for predictors of memory problems: age, sex, race, education and general health.

RESULTS

The sample included 2289 adults (49% females), 9% with a cancer history. The results pertain only to cancer survivors. Those with insomnia were 16 times as likely to have SRMP. Only insomnia symptoms (OR, 15.74; 95% CI, 1.73-143.30; p < 0.01) significantly predicted SRMP, uniquely explaining 12% of the variance. Insomnia accounted for 18.8% of the association between cardiac issues and SRMP, demonstrating mediation (Sobel p < 0.05). The large CI is a consequence of analyzing a sub-group of a subpopulation. Among participants without a cancer history, cardiovascular disease and insomnia were not associated with SRMP (p > 0.05).

LIMITATIONS

We could not determine severity and time-related changes in SRMP.

CONCLUSION

Likelihood of SRMP was higher in cancer survivors with a history of cardiovascular disease and insomnia symptoms. Future studies are needed to delineate the cardiac-insomnia-memory interrelationships.