The purpose of this study was to investigate the association between cognitive processes and medication adherence among community-dwelling older adults. Ninety-five participants (M = 78 years) completed a battery of cognitive assessments including measures of executive function, working memory, cued recall, and recognition memory. Medication adherence was examined over 8 weeks for one prescribed medicine by use of an electronic medication-monitoring cap. In a simultaneous regression, the composite of executive function and working memory tasks was the only significant predictor (beta =.44, p <.01). Findings suggest that assessments of executive function and working memory can be used to identify community-dwelling older adults who may be at risk for failure to take medicines as prescribed.
The projected increase in the number of older adults intensifies the need to study interventions that improve health outcomes. The challenge is to recruit sufficient numbers of participants who are also representative of older adults to test these interventions. Failing to recruit a sufficient and representative sample can compromise statistical power and the generalizability of study findings.
When a patient presents with cognitive complaints, the problems can be evaluated for intervention when an overall understanding exists of chemotherapy-related cognitive changes based on a conceptual model that continues to be informed through well-conceptualized and well-designed research.
Results provide information on effective strategies that patients with prostate cancer found to reduce their symptoms. The strategies used provide a foundation for developing and testing interventions for personalised symptom management.
Type 2 diabetes mellitus (T2DM) is associated with poorer performance on certain measures of cognitive function. However, little is known about the associations among working memory (WM), executive function (EF), and self-care in those with severe T2DM. This investigation explored these relationships among 67 middle-aged and older individuals with T2DM (mean age of 62.9 years). Severity of T2DM was measured with a health status composite (HSC) score from the Diabetes Care Profile, the number of prescribed medications, and the number of comorbid conditions. Cognitive assessments included the Working Memory Index and the Executive Interview 25 (EXIT 25). Self-care was measured using the Self-Care Inventory-Revised (SCI-R) and hemoglobin A1c (HgbA1c). WM was significantly correlated with all measures of severity of T2DM (HSC, r = .542, p < . 01; number of comorbidities, r = -.476, p < .01; and number of prescription medications, r = -.344, p < .01). EF was significantly correlated with all measures of severity of T2DM (HSC, r = -.504, p < .01; number of comorbidities, r = .492, p < .01; and number of prescription medications, r = .326, p < .01). The self-care measure HgbA1c was significantly correlated with WM (r = -.352, p < .01) and EF (r = .510, p < .01). The EXIT 25 score fully mediated the relationship between severity of T2DM and self-care as measured by HgbA1c (β = .431, p < .001). These findings provide preliminary evidence for the associations among severity of T2DM, WM, EF, and self-care.
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