Background Subclinical cognitive impairment is prevalent in heart failure (HF); however, its role in important clinical outcomes, such as HF treatment adherence, is unclear. Given the complex polypharmacy in HF treatment, cognitive deficits may be important in predicting medication management. Thus, the objective of the current study was to examine the impact of cognitive function on medication adherence among community-dwelling patients with HF using objective assessments. Methods and Results A prospective observational cohort design of 309 community-dwelling patients with HF (59.7% male, 68.7±9.7 years) and no history of dementia or neurological disease. Cognition was assessed using a neuropsychological battery at baseline. Medication adherence was objectively measured for 21 days using an electronic pillbox. Regression analyses tested whether attention, executive function, or memory predicted 21-day medication adherence. In unadjusted analyses, lower scores on all three cognitive domains predicted poorer medication adherence (β = .52–85, p = .001–.009). After adjusting for demographic, clinical, and psychosocial variables, memory continued to predict medication adherence (β = 0.51, p = .008), whereas executive function (β = 0.24 p = .075), and attention were no longer a predictor (β = 0.34, p = .131). Conclusions Poorer cognitive function, especially in regard to memory, predicted reduced medication adherence among patients with HF and no history of dementia. This effect remained after adjustment for factors known to predict adherence, such as depressed mood, social support, and disease severity level. Future studies should examine the link from cognitive impairment and medication non-adherence to clinical outcomes (e.g., hospitalization and mortality). Trial Registration URL: http://www.clinicaltrials.gov. Unique identifier: NCT01461629.
Obesity is a prevalent health care issue associated with disability, premature morality, and high costs. Behavioral weight management interventions lead to clinically significant weight losses in overweight and obese individuals; however, many individuals are not able to participate in these face-to-face treatments due to limited access, cost, and/or time constraints. Technological advances such as widespread access to the Internet, increased use of smartphones, and newer behavioral self-monitoring tools have resulted in the development of a variety of eHealth weight management programs. In the present paper, a summary of the most current literature is provided along with potential solutions to methodological challenges (e.g., high attrition, minimal participant racial/ethnic diversity, heterogeneity of technology delivery modes). Dissemination and policy implications will be highlighted as future directions for the field of eHealth weight management.
Objective To examine the ability of the Mini Mental Status Examination (MMSE) and Montreal Cognitive Assessment (MoCA) to detect cognitive impairment in persons with heart failure (HF). Background Although the MMSE and MoCA are commonly used screeners in HF, no research team has validated their performance against neuropsychological testing. Methods Participants were 106 patients with HF (49.1% male, 68.13±9.82 years) who completed the MoCA, MMSE, and a full neuropsychological battery. Sensitivity and specificity were examined. Discriminant function analyses tested whether the screeners correctly detected cognitive impairment. Results A MoCA score <25 and MMSE score of <28 yielded optimal sensitivity/specificity (.64/.66 and .70/.66, respectively). The MoCA correctly classified 65% of patients, Wilk's lambda=.91, χ2(1)=9.89, p<.01, and the MMSE correctly classified 68%, Wilk's lambda=.87, χ2(1)=14.26, p<.001. Conclusions In HF, both the MoCA and MMSE are useful in identifying the majority of patients with and without cognitive impairment. Both tests misclassified approximately one-third of patients, so continued monitoring and evaluation of patients is needed in conjunction with screening.
This review paper will discuss the recent literature examining the relationship between obesity and neurocognitive outcomes, with a particular focus on cognitive changes after bariatric surgery. Obesity is now recognized as an independent risk factor for adverse neurocognitive outcomes, and severely obese persons appear to be at even greater risk. Bariatric surgery is associated with rapid improvements in cognitive function that persist for at least several years, although the mechanisms underlying these improvements are incompletely understood. Assessment of cognitive impairment in bariatric surgery patients is challenging, and improved methods are needed, as poorer performance on neuropsychological tests of memory and executive function leads to poorer clinical weight outcomes. In addition to its clinical importance, further study in this area will provide key insight into obesity-related cognitive dysfunction and clarify the possibility of an obesity paradox for neurological outcomes.
Objective Because depression and anxiety are typically studied in isolation, our purpose was to examine the relative importance of these overlapping emotional factors in predicting incident cardiovascular disease (CVD). Methods We examined depression and anxiety screens, and their individual items, as predictors of incident hard CVD events, myocardial infarction, and stroke over eight years in a diverse sample of 2,041 older primary care patients initially free of CVD. At baseline, participants completed self-report depression and anxiety screens. Data regarding CVD events were obtained from an electronic medical record system and the Centers for Medicare and Medicaid Services analytic files. Results During follow-up, 683 (33%) experienced a CVD event. Cox proportional hazards models – adjusted for demographic and CVD risk factors – revealed that a positive anxiety screen, but not a positive depression screen, was associated with an increased risk of a hard CVD event in separate models (Years 0–3: Anxiety HR=1.54, p<.001; Years 3+: Anxiety HR=0.99, p=.93; Depression HR=1.10, p=.41), as well as when entered into the same model (Years 0–3: Anxiety HR=1.53, p<.001; Years 3+: Anxiety HR=0.99, p=.99; Depression HR=1.03, p=.82). Analyses examining individual items and secondary outcomes showed that the anxiety-CVD association was largely driven by the feeling anxious item and the myocardial infarction outcome. Conclusions Anxiety, especially feeling anxious, is a unique risk factor for CVD events in older adults, independent of conventional risk factors and depression. Anxiety deserves increased attention as a potential factor relevant to CVD risk stratification and a potential target of CVD primary prevention efforts.
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