Sleep is Essential for Cardiovascular Health: An Analytic Review of the Relationship Between Sleep and Cardiovascular Mortality.

The American Heart Association recently included sleep health as one of eight factors that define cardiovascular health. Restorative sleep is a pillar of lifestyle medicine influenced by sleep duration, quality, and disorders. Short and long sleep duration are associated with greater risk of cardiovascular disease. Short sleep appears causally related to cardiovascular risk. Long sleep is more strongly predictive of cardiovascular risk, which may be due to comorbidities and other risk factors. Good-quality sleep appears to protect against the increased risk and is independently associated with risk of cardiovascular disease (CVD). Insomnia, particularly difficulty falling asleep and non-restorative sleep, is associated with an increase in cardiac events. Obstructive sleep apnea (OSA) is associated with cardiac risk and outcomes, which is typically observed in the context of contributing comorbidities. However, treating OSA with continuous positive airway pressure (CPAP) may not improve prognosis. Further research is needed to understand the causal mechanisms connecting sleep health with CVD and whether modifying sleep can improve outcomes. Sleep health should be considered as part of a holistic approach to improving cardiovascular health, as reflected in the scoring of LE8 and as one of the interrelated components of lifestyle medicine.

Effects of stress management interventions on heart rate variability in adults with cardiovascular disease: a systematic review and meta-analysis.

Meta-analysis was used to investigate the potential benefits of stress management interventions (SMIs) on vagally-mediated heart rate variability (HRV) in adults with cardiovascular disease. Electronic bibliographic databases were searched through August 2022. Randomized controlled trials and quasi-experimental studies assessing effects of SMIs on HRV were included. Methodological quality was assessed with a standardized checklist. A pooled effect size was calculated for vagally-mediated HRV indices (standard deviation of normal-to-normal intervals, root mean square of the successive differences, and high frequency power) using random effects models. Fourteen studies (1202 participants, Mage: 59 ± 6.25 years; 25% ± 16% women; 61% ± 22% White) were included. Ten studies (11 effects) reported short-term HRV assessment; a small between-group difference emerged for vagally-mediated HRV (d+ = .27, 95% confidence interval [CI] 0.01-0.52, k = 11). Most interventions examined biofeedback; these studies yielded a small between-group difference on vagally-mediated HRV (d+ = 0.31, 95% CI 0.09-0.53, k = 7, Q [6] = 3.82, p = .70, I2 = 11%). This is the first systematic examination of the effect of SMIs on HRV in adults with CVD. Findings suggest a small effect of SMIs on vagally-mediated HRV, with biofeedback likely driving the effect. More research is required to fully understand whether this benefit on vagally-mediated HRV applies to other SMIs.

The protective roles of coping self-efficacy and social support for posttraumatic stress during the COVID-19 pandemic.

OBJECTIVE: This study examined the roles of social support and coping self-efficacy (CSE) in attenuating posttraumatic stress (PTS) symptoms during the COVID-19 pandemic among a nonclinical university student sample. METHOD: Participants (n = 610; 59% female) completed questionaries assessing psychological distress (Kessler Psychological Distress Scale) at baseline and 6-month follow-up, and social support (Interpersonal Support Evaluation List-12), CSE Scale, and PTS symptoms (Impact of Event Scale-Revised) at 6 months. A path analysis was conducted using SPSS Amos to examine the direct and indirect pathways from psychological distress to PTS symptoms that are accounted for by social support and CSE, controlling for gender. RESULTS: All direct effects in the path analysis were significant except for the relationship between social support and PTS symptoms. Notably, CSE was directly related to PTS symptoms (CSE: ß = -.30, p < .001). There was a significant indirect effect of early psychological distress on PTS symptoms 6 months into the pandemic through social support and CSE (ß = .14, p < .001). CONCLUSIONS: Individuals with higher levels of social support are more likely to have greater confidence in their coping capabilities, which helps to explain PTS symptom severity after controlling for initial levels of psychological distress and gender. These findings suggest that following a potentially traumatic event, CSE may be one factor to screen for to better identify individuals who are at higher risk for significant psychological difficulties and may benefit from interventions that bolster protective factors. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Psychometric Properties and Factor Structure of the Multidimensional Behavioral Health Screen (MBHS) With a University Sample.

The Multidimensional Behavioral Health Screen (MBHS) is a brief screening measure of behavioral health symptoms. Although the measure was first developed for primary care, it is likely to have clinical utility in other settings. This study examined the MBHS's factor structure and psychometric properties with a university undergraduate and graduate student sample (n = 602, 58.6% female, 75.9% White, primarily aged 20-24) during the COVID-19 pandemic. MBHS subscale scores demonstrated internal consistency reliability and both convergent and discriminant relations with external, criterion variables. Confirmatory factor analyses supported a 7-subscale factor structure of the MBHS and did not find evidence of higher order factors. Clinical and theoretical implications, as well as future research directions, are discussed.

Self-Care Mental Health App Intervention for Post-Intensive Care Syndrome-Family: A Randomized Pilot Study.

BACKGROUND: Post-intensive care syndrome-family (PICS-F) is a constellation of adverse psychological symptoms experienced by family members of critically ill patients during and after acute illness. Cognitive behavioral therapy delivered using smartphone technology is a novel approach for PICS-F symptom self-management. OBJECTIVE: To determine the efficacy of smartphone delivery of cognitive behavioral therapy in reducing the prevalence and severity of PICS-F symptoms in family members of critically ill patients. METHODS: The study had a randomized controlled longitudinal design with control and intervention groups composed of family members of patients admitted to 2 adult intensive care units. The intervention consisted of a mental health app loaded on participants' personal smartphones. The study time points were upon enrollment (within 5 days of intensive care unit admission; time 1), 30 days after enrollment (time 2), and 60 days after enrollment (time 3). Study measures included demographic data, PICS-F symptoms, mental health self-efficacy, health-related quality of life, and app use. RESULTS: The study sample consisted of 60 predominantly White (72%) and female (78%) family members (30 intervention, 30 control). Anxiety and depression symptom severity decreased significantly over time in the intervention group but not in the control group. Family members logged in to the app a mean of 11.4 times (range, 1-53 times) and spent a mean of 50.16 minutes (range, 1.87-245.92 minutes) using the app. CONCLUSIONS: Delivery of cognitive behavioral therapy to family members of critically ill patients via a smartphone app shows some efficacy in reducing PICS-F symptoms.

A New Era in Cardiac Rehabilitation Delivery: Research Gaps, Questions, Strategies, and Priorities.

Cardiac rehabilitation (CR) is a guideline-recommended, multidisciplinary program of exercise training, risk factor management, and psychosocial counseling for people with cardiovascular disease (CVD) that is beneficial but underused and with substantial disparities in referral, access, and participation. The emergence of new virtual and remote delivery models has the potential to improve access to and participation in CR and ultimately improve outcomes for people with CVD. Although data suggest that new delivery models for CR have safety and efficacy similar to traditional in-person CR, questions remain regarding which participants are most likely to benefit from these models, how and where such programs should be delivered, and their effect on outcomes in diverse populations. In this review, we describe important gaps in evidence, identify relevant research questions, and propose strategies for addressing them. We highlight 4 research priorities: (1) including diverse populations in all CR research; (2) leveraging implementation methodologies to enhance equitable delivery of CR; (3) clarifying which populations are most likely to benefit from virtual and remote CR; and (4) comparing traditional in-person CR with virtual and remote CR in diverse populations using multicenter studies of important clinical, psychosocial, and cost-effectiveness outcomes that are relevant to patients, caregivers, providers, health systems, and payors. By framing these important questions, we hope to advance toward a goal of delivering high-quality CR to as many people as possible to improve outcomes in those with CVD.

Psychological distress of college students during the COVID-19 pandemic.

Objectives To assess levels of psychological distress among a group of US undergraduate college students during the initial phases of the novel coronavirus (SARS-CoV-2) pandemic. Methods: All undergraduates at Kent State University were surveyed in three randomly selected cohorts on March 18, March 25, and April 1, yielding 3924 valid responses for the weighted dataset (73.8% female, 88.9% White). Distress was assessed using the Kessler Psychological Distress Scale (K6). Data were weighted using known population counts. Results: K6 scores averaged 8.19 ± 5.9, with 44.3% in the moderately elevated range and 23.8% above the cutoff for severe psychological distress.Conclusions: A high proportion of undergraduate university students reported elevated psychological distress as the COVID-19 pandemic unfolded. K6 scores appeared higher than averages from comparison samples. Targeted surveillance can inform public health in mitigating threats to mental health conferred by pandemics. Colleges and universities should anticipate sharply elevated psychological distress during and after the COVID-19 pandemic.

Sleep quality and mental health during COVID-19: the role of distress tolerance.

The coronavirus disease 2019 (COVID-19) pandemic has negatively impacted psychological health for many. This study aimed to investigate if distress tolerance, an individual's perceived or actual 'capacity to withstand negative psychological states', helps to explain the relationship between sleep and mental health problems during the COVID-19 pandemic. College students (N = 187) completed questionnaires using an online survey platform between 6 April 2020, and 6 June 2020, during the COVID-19 pandemic. Hierarchical multiple regression analyses were used to examine the indirect effect of distress tolerance on the relationship between sleep quality and mental health. Distress tolerance partially accounted for the relationship between sleep quality and perceived stress but did not help to explain the association between sleep quality and depression or anxiety. Two components of distress tolerance, absorption and appraisal, helped to explain the relationship between sleep quality and all mental health outcomes. These findings help explain how distress tolerance relates to mental health when sleep is negatively impacted. Prospective designs replicating these findings are needed and future research may inform how psychological interventions could target distress tolerance in the context of poor sleep, especially during major stressors.

Meta-Analysis of Antidepressant Pharmacotherapy in Patients Eligible for Cardiac Rehabilitation: ANTIDEPRESSANT AMBIVALENCE.

PURPOSE: Many patients exhibit clinically significant depression upon enrollment in cardiac rehabilitation (CR). Antidepressants are a first-line treatment option for depression, but the effectiveness of antidepressants in patients with heart disease is mixed. The purpose of this meta-analysis was to evaluate the efficacy of antidepressants for depression in patients eligible for CR. METHODS: A meta-analysis was conducted including randomized controlled trials of antidepressants from January 1990 to September 2021 that compared antidepressants with placebo. Random-effects models were used between group effect sizes (Hedges' g ). RESULTS: A total of 13 trials with predominately White (68% ± 12; n =7) male (70% ± 11) samples averaging 61 ± 5 yr compared antidepressants (1128 participants) with placebo (1079 participants). Antidepressants reduced depressive symptoms ( g = 0.17: 95% CI, 0.08-0.27), but the effect was small. Heterogeneity among study effects was low ( I2 = 6.42) and nonsignificant ( Q = 10.75, P = .46), although patients with heart failure ( gHF = 0.05: 95% CI, -0.09 to 0.18) demonstrated smaller effects compared with patients with other cardiovascular disease conditions (g non-HF = 0.22: 95% CI, 0.11-0.32) ( QB [1] = 3.97; P < .05). No study reported safety concerns associated with antidepressants. SUMMARY: The effect size of antidepressant pharmacotherapy in this population is small. No trials reported on the combined effects of exercise and pharmacotherapy. If the patient is not suicidal, CR staff may consider patient preference and refer patients for additional treatment as necessary.

Psychosocial management in cardiac rehabilitation: Current practices, recommendations, and opportunities.

Psychosocial management is a core component of outpatient Phase-II cardiac rehabilitation (CR) and includes psychosocial assessment, providing interventions, measuring outcomes, and care coordination. Psychosocial management contributes to the effectiveness of comprehensive CR, but the implementation is not always consistent or clearly described in the literature, in part due to the availability of behavioral health specialists. Patients in CR have many psychosocial needs including anxiety, depression, substance use disorders, sleep problems, psychosocial stress, and cognitive impairment. Behavioral considerations are inherent in many other aspects of CR,such as participation in CR, health behaviors, adherence, and tobacco cessation. Evaluation, or psychosocial assessment, should identify significant issues, record related medications, and incorporate findings in the individual treatment plan. Some patients require further evaluation and treatment by a qualified behavioral health specialist. Psychosocial interventions provided to all patients include patient education, counseling, stress-management, a supportive environment, and exercise. Measuring outcomes entails repeating the psychosocial assessment when patients finish CR and documenting changes. Coordinating care requires understanding available local mental health infrastructure and procedures for making referrals, and may entail identifying additional resources. Interventions provided concurrently with CR to a subset of patients with more extensive needs are typically pharmacotherapy, psychotherapy, or addictions counseling, which are beyond the scope of practice for most CR professionals. The way psychosocial management is implemented suggests clinical and research opportunities. For example, the combined effects of antidepressants and CR on depression and anxiety are not known. A prominent clinical opportunity is to fully implement psychosocial assessment, as required by statute and the core components. This could involve referring patients for whom clinically significant psychosocial concerns are identified during the evaluation for a more thorough assessment by a behavioral health specialist using an appropriate billing model. A research priority is a contemporary description of behavioral health services available to CR programs, including how psychosocial management is implemented. As delivery of CR comes to include more alternative models (e.g., home-based), research is needed on how that affects the delivery of psychosocial management. Increased use of telehealth may broaden clinical opportunities for psychosocial management.

Distress and Prevention Behaviors During the COVID-19 Pandemic Among College Students: the Moderating Role of Resilience.

BACKGROUND: Pandemics can generate considerable distress, which can affect prevention behaviors. Resilience may buffer the negative effects of distress on engagement in relevant prevention behaviors, which may also hold true for COVID-19 prevention behaviors. The objective of the current study was to evaluate whether resilience moderated the relationship between distress and COVID-19 prevention behaviors early in the pandemic. METHODS: Data were collected via surveys in which all students at a large midwestern university were emailed invitations beginning March 18, 2020. Surveys were completed by 5,530 individuals. In addition to demographic questions and items about COVID-19 prevention behaviors, distress was assessed using the K6 Distress Scale and resilience using the Brief Resilience Scale. Data were analyzed using moderator regression analysis. RESULTS: Resilience moderates the effects from distress to prevention behaviors, such that the relationship was stronger for individuals with higher resilience than for individuals with lower resilience. When resilience was one standard deviation below the mean, at the mean value of resilience, and when resilience was one standard deviation above the mean, there was a significant positive relationship between distress and COVID-19 prevention behaviors. However, the relationship was strongest for those with high resilience, and lowest for those with low resilience. CONCLUSIONS: In the current sample, resilience appeared to influence the strength of the relationship between distress and COVID-19 prevention behaviors. Having higher resilience may promote positive adaptation to distress, leading individuals to engage in a greater number of disease-related prevention behaviors. Future research should examine this relationship longitudinally and in relation to differing constructs of resilience.

Health Literacy, Cognitive Function, and Mortality in Patients With Heart Failure.

BACKGROUND: Health literacy has predicted mortality in heart failure. However, the role of cognitive functioning in this relationship has not been evaluated. We hypothesized that health literacy would predict all-cause mortality but that cognitive functioning would modify the relationship between health literacy and mortality in heart failure. OBJECTIVE: The aim of this study was to examine the association between health literacy, cognitive functioning, and mortality in patients with heart failure. METHODS: This secondary analysis of a larger study included 298 patients with heart failure with reduced ejection fraction (trial identifier: NCT01461629). Health literacy was evaluated using the Rapid Estimate of Adult Literacy in Medicine (REALM) and Medical Term Recognition Test (METER), and cognitive functioning was evaluated using the Modified Mini-Mental Status Examination (3MS). Cox proportional hazards regression was used with time-until-death as the dependent variable. RESULTS: After controlling for age, sex, and race, neither METER nor REALM scores predicted mortality in heart failure (Ps ≥ .37). However, 3MS predicted mortality in models using the METER (Δχ2 = 9.20, P < .01; B = -.07; hazard ratio, 0.94 [95% confidence interval, 0.89-0.98]; P < .01) and REALM (Δχ2 = 9.77, P < .01; B = -0.07; hazard ratio, 0.94 [95% confidence interval, 0.90-0.97]; P < .01). Furthermore, adding the 3MS improved model fit. CONCLUSIONS: Cognitive functioning predicted mortality in heart failure better than health literacy. Results suggest the need to further evaluate the contribution of cognitive functioning to increased risk of mortality in those with heart failure.

Delivering Cognitive Behavioral Therapy for Post-Intensive Care Syndrome-Family via a Mobile Health App.

BACKGROUND: Family members of intensive care unit (ICU) patients are at risk for post-intensive care syndrome- family (PICS-F), including symptoms of anxiety, depression, and posttraumatic stress. Cognitive behavioral therapy is the first-line nonpharmacologic treatment for many psychological symptoms and has been successfully delivered by use of mobile technology for symptom self-management. OBJECTIVES: To determine the feasibility of delivering cognitive behavioral therapy through a smartphone app to family members of critically ill patients. METHODS: This was a prospective longitudinal cohort study with a consecutive sample of patients admitted to 2 adult ICUs and their family members. The control group period was followed by the intervention group period. The intervention consisted of a mobile health app preloaded on a smartphone provided to family members. The study time points were enrollment (within 5 days of ICU admission), 30 days after admission, and 60 days after admission. Study measures included demographic data, app use, satisfaction with the app, mental health self-efficacy, and measures of PICS-F symptoms. RESULTS: The study sample consisted of 49 predominantly White (92%) and female (82%) family members (24 intervention, 25 control). Smartphone ownership was 88%. Completion rates for study measures were 92% in the control group and 79% in the intervention group. Family members logged in to the app a mean of 18.58 times (range 2-89) and spent a mean of 81.29 minutes (range 4.93-426.63 minutes) using the app. CONCLUSIONS: The study results confirm the feasibility of implementing app-based delivery of cognitive behavioral therapy to family members of ICU patients.

Smartphone Delivery of Cognitive Behavioral Therapy for Postintensive Care Syndrome-Family: Protocol for a Pilot Study.

BACKGROUND: Family members of critically ill patients experience symptoms of postintensive care syndrome-family (PICS-F), including anxiety, depression, and posttraumatic stress disorder. Postintensive care syndrome-family reduces the quality of life of the families of critically ill patients and may impede the recovery of such patients. Cognitive behavioral therapy has become a first-line nonpharmacological treatment of many psychological symptoms and disorders, including anxiety, depression, and posttraumatic stress. With regard to managing mild-to-moderate symptoms, the delivery of cognitive behavioral therapy via mobile technology without input from a clinician has been found to be feasible and well accepted, and its efficacy rivals that of face-to-face therapy. OBJECTIVE: The purpose of our pilot study is to examine the efficacy of using a smartphone mobile health (mHealth) app to deliver cognitive behavioral therapy and diminish the severity and prevalence of PICS-F symptoms in family members of critically ill patients. METHODS: For our pilot study, 60 family members of critically ill patients will be recruited. A repeated-measures longitudinal study design that involves the randomization of participants to 2 groups (the control and intervention groups) will be used. The intervention group will receive cognitive behavioral therapy, which will be delivered via a smartphone mHealth app. Bandura's social cognitive theory and an emphasis on mental health self-efficacy form the theoretical framework of the study. RESULTS: Recruitment for the study began in August 2020. Data collection and analysis are expected to be completed by March 2022. CONCLUSIONS: The proposed study represents a novel approach to the treatment of PICS-F symptoms and is an extension of previous work conducted by the research team. The study will be used to plan a fully powered randomized controlled trial. TRIAL REGISTRATION: ClinicalTrials.gov NCT04316767; https://clinicaltrials.gov/ct2/show/NCT04316767. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/30813.

A combined community health worker and text messagingbased intervention for smoking cessation in India: Project MUKTI - A mixed methods study.

INTRODUCTION: We sought to evaluate the effectiveness of a community health worker (CHW) led smoking cessation intervention, supplemented by text messages, and tailored to an individual's readiness to quit. METHODS: We conducted a cluster randomized controlled trial (April 2018-August 2019) in adult smokers residing in a semi-urban region of India. Participants in the intervention arm received CHW-led home visits and had the option of choosing to receive regular text messages. The dose and content of CHW counseling and text messages were tailored to the participant's readiness to quit. The control group received brief education only. Primary outcome was biochemically verified smoking cessation at the end of 12 months. Both intention-to-treat and as-treated analyses were performed. RESULTS: A total of 238 (mean age 43±12.3 years, male 96.2%) participants were enrolled; 151 (64%) in the intervention arm and 83 (35.4%) in the control arm. At 12 months, 31 (20.5%) participants in the intervention arm and 9 (10.8%) in the control arm quit smoking (absolute risk difference=9.7%; RR=1.69; 95% CI: 0.04-71.33, p=0.74). In the as-treated analysis, 17 (36.9%) of the 46 participants who received optimal dose of the intervention quit smoking. CONCLUSIONS: CHW-led home-based counseling, supplemented by regular text messages, led to an increase in quit rates for smoking, especially among those exposed to a higher dose of the intervention. However, the difference in cessation rates was not statistically significant. Future studies should consider testing mobile application-based multimedia messaging with larger populations, as a supplement to CHW-based counseling.

Does Dispositional Mindfulness Predict Cardiovascular Reactivity to Emotional Stress in Prehypertension? Latent Growth Curve Analyses from the Serenity Study.

OBJECTIVE: Mindfulness stress buffering theory (Creswell & Lindsay, 2014) posits higher dispositional (trait) mindfulness can protect cardiovascular health by buffering physiological stress reactivity - a risk marker for hypertension and cardiac events. Yet, empirical evidence is mixed. This study used baseline data from the Serenity Study - a recently completed, two-site randomized clinical trial - to assess the link between trait mindfulness and cardiovascular stress reactivity in adults with unmedicated prehypertension (n=153, Mage=50, 47% male, 69% White, 28% African-American). METHODS: Latent growth curve modeling was used to determine whether specific facets of trait mindfulness, measured by the Five Facet Mindfulness Questionnaire and the Decentering subscale of the Experiences Questionnaire, predict blood pressure (BP) and heart rate (HR) responses to a brief laboratory stressor (5-min anger recall task). BP and HR taken 1-min apart were used in latent growth curve models. We hypothesized after controlling for known covariates of cardiovascular health, higher trait mindfulness would predict lower cardiovascular reactivity to, and faster recovery from, acute emotional stress. RESULTS: Contrary to predictions, no mindfulness facets predicted cardiovascular reactivity or recovery. CONCLUSIONS: These findings indicate trait mindfulness facets may not independently affect BP and HR responses to acute emotional stress among prehypertensive but otherwise healthy adults with normal stress levels, prior to mindfulness training. Mindfulness-based interventions may therefore be necessary to engender benefits of mindfulness on stress physiology, as a putative biological mechanism of cardiovascular risk reduction and health promotion. Trial registration number and date of registration: NCT02371317, 1/21/2015.

Exploring How Trait Mindfulness Relates to Perceived Stress and Cardiovascular Reactivity.

BACKGROUND: Mindfulness interventions have been associated with less global perceived stress as well as attenuated cardiovascular reactivity. The aim of the present study was to evaluate whether high levels of trait mindfulness would also be associated with these benefits. METHODS: Participants were 99 healthy young adults aged 18-25 years. Self-report measures included the Five Facet Mindfulness Questionnaire and the Perceived Stress Scale. Participants completed a laboratory stress protocol comprised of a resting baseline, a mental arithmetic stress task, and a resting recovery period. Blood pressure, heart rate, and heart rate variability were measured throughout the protocol. Regressions were used to analyze whether trait mindfulness predicted global perceived stress, cardiovascular reactivity, and cardiovascular recovery. RESULTS: Two trait mindfulness facets were found to be associated with less global perceived stress, Acting with Awareness (ß = - .306, p = .002) and Nonjudgment (ß = - .342, p < .001). Exploratory analyses also revealed an interaction between the Observe and Nonreactivity facets (p = .002), such that the Observe facet was associated with less stress only when Nonreactivity scores were also high. Although trait mindfulness was not a significant predictor of the physiological variables (p > .05, Cohen's f2 < .060), exploratory analyses revealed an interaction between the Awareness and Nonjudgment facets (p < .001), such that Awareness is associated with lower diastolic blood pressure reactivity only when Nonjudgment scores are also high. CONCLUSIONS: Like mindfulness interventions, trait mindfulness is associated with less global perceived stress. Interactions between trait mindfulness facets that reflect attention monitoring and acceptance might predict physiological reactivity in certain contexts, though a mindful state might be necessary for most real-time cardiovascular benefits.

Examination of attention, executive function, and memory as predictors of mortality risk in adults with systolic heart failure.

BACKGROUND: The prevalence and impact of cognitive impairment in heart failure is increasingly recognized. Converging evidence points to global cognitive function as predictive of prognosis in adults with heart failure when assessed with screening tools. Additional work is needed to understand which domains of cognitive function are most relevant for prognosis. AIMS: The present study sought to examine associations between domains of cognitive function and mortality risk in adults with heart failure. METHODS: In the present prospective, observational cohort study, global cognitive function, attention, executive function, and memory were assessed by means of a comprehensive neuropsychogical battery in adults with systolic heart failure. Mortality data were obtained from the National Death Index (median follow-up 2.95 years). Relationships among each cognitive domain and mortality were assessed with Cox regression. Covariates included age, sex, heart failure severity, comorbidity and depressive symptoms. RESULTS: Participants were 325 patients with systolic heart failure with a mean age of 68.6 years (59% men, 73% Caucasian). Following covariate adjustment, better global cognitive function, attention, and executive function were related to decreased mortality risk. CONCLUSIONS: Future research is needed to clarify the underlying mechanisms of the association between cognitive impairment and mortality.

The Contribution of Living Arrangements, Social Support, and Self-efficacy to Self-management Behaviors Among Individuals With Heart Failure: A Path Analysis.

BACKGROUND: Living arrangements, social support, and self-efficacy have significant implications for self-management science. Despite the theoretical linkages among the 3 concepts, there is limited empirical evidence about their interplay and the subsequent influence on heart failure (HF) self-management. OBJECTIVE: The aim of this study was to validate components of the Individual and Family Self-management Theory among individuals with HF. METHODS: This is a secondary analysis of cross-sectional data generated from a sample of 370 individuals with HF. A path analysis was conducted to examine the indirect and direct associations among social environment (living arrangements), social facilitation (social support) and belief (self-efficacy) processes, and self-management behaviors (HF self-care maintenance) while accounting for individual and condition-specific factors (age, sex, race, and HF disease severity). RESULTS: Three contextual factors (living arrangements, age, and HF disease severity) had direct associations with perceived social support and self-efficacy, which in turn were positively associated with HF self-management behaviors. Living alone (ß = -.164, P = .001) was associated with lower perceived social support, whereas being an older person (ß = .145, P = .004) was associated with better support. Moderate to severe HF status (ß = -.145, P = .004) or higher levels of perceived social support (ß = .153, P = .003) were associated with self-efficacy. CONCLUSIONS: Our results support the Individual and Family Self-management Theory, highlighting the importance of social support and self-efficacy to foster self-management behaviors for individuals with HF. Future research is needed to further explore relationships among living arrangements, perceived and received social support, self-efficacy, and HF self-management.