Predictors of Life Expectancy in Autopsy-Confirmed Alzheimer’s Disease

Background: Life expectancy (LE) following Alzheimer’s disease (AD) is highly variable. The literature to date is limited by smaller sample sizes and clinical diagnoses. Objective: No study to date has evaluated predictors of AD LE in a retrospective large autopsy-confirmed sample, which was the primary objective of this study. Methods: Participants (≥50 years old) clinically and neuropathologically diagnosed with AD were evaluated using National Alzheimer’s Coordinating Center (N = 1,401) data. Analyses focused on 21 demographic, medical, neuropsychiatric, neurological, functional, and global cognitive predictors of LE at AD dementia diagnosis. These 21 predictors were evaluated in univariate analyses. Variables found to be significant were then entered into a forward multiple regression. LE was defined as months between AD diagnosis and death. Results: Fourteen predictors were significant in univariate analyses and entered into the regression. Seven predictors explained 27% of LE variance in 764 total participants. Mini-Mental State Examination (MMSE) score was the strongest predictor of LE, followed by sex, age, race/ethnicity, neuropsychiatric symptoms, abnormal neurological exam results, and functional impairment ratings. Post-hoc analyses revealed correlations of LE were strongest with MMSE ≤12. Conclusion: Global cognitive functioning was the strongest predictor of LE following diagnosis, and AD patients with severe impairment had the shortest LE. AD patients who are older, male, white, and have more motor symptoms, functional impairment, and neuropsychiatric symptoms were also more likely have shorter LE. While this model cannot provide individual prognoses, additional studies may focus on these variables to enhance predictions of LE in patients with AD.

Cognitive predictors of vaccine hesitancy and COVID-19 mitigation behaviors in a population representative sample

With the continued threat of COVID-19, predictors of vaccination hesitancy and mitigation behaviors are critical to identify. Prior studies have found that cognitive factors are associated with some COVID-19 mitigation behaviors, but few studies employ representative samples and to our knowledge no prior studies have examined cognitive predictors of vaccine hesitancy. The purpose of the present study, conducted among a large national sample of Canadian adults, was to examine associations between cognitive variables (executive function, delay discounting, and temporal orientation) and COVID-19 mitigation behaviors (vaccination, mask wearing, social distancing, and hand hygiene). Findings revealed that individuals with few executive function deficits, limited delay discounting and who adopted a generally future-orientation mindset were more likely to be double-vaccinated and to report performing COVID-19 mitigation behaviors with high consistency. The most reliable findings were for delay discounting and future orientation, with executive function deficits predicting mask wearing and hand hygiene behaviors but not distancing and vaccination. These findings identify candidate mediators and moderators for health communication messages targeting COVID-19 mitigation behaviors and vaccine hesitancy.

Non-Cognitive Predictors of Subjective Job Performance in a Sample of Managers, Client Support and Administrative Support Specialists

The present study was designed to distinguish non-cognitive predictors of job performance for various job groups in order to develop a method for identification of the suitability of an employee for positions and career development in organizational settings. This study included personality traits, vocational interests, grit, growth mindset, resistance to change, goal orientation and self-efficacy as potential predictors of job performance from several individual characteristics related to training, learning and job performance found in the literature. The study sample included customer service specialists, support specialists and managers from five different companies in Latvia. The results show that grit, social, conventional, and enterprising interests are significant predictors of subjective job performance. Personality traits, self-efficacy, growth mindset, resistance to change and goal orientation did not predict job performance in this sample. The relationship between subjective job performance and personality traits for conscientiousness and neuroticism is weak. The results are partly in line with other studies. Possible explanations of results and future directions are offered.

End of Life Neuropsychological Impairments and Psychological Care of Persons With Advanced Parkinsonism

Decline in executive functioning, before frank dementia occurs, has been reported in patients with a history of stroke and malignant brain tumors. This may also be true in patients with advanced Parkinson’s disease (PD). In this paper, we summarize the limited research on the motor and cognitive predictors of mortality in advanced PD. We then provide 2 case vignettes of patients with end of life advanced PD who demonstrated a substantial decline in working memory and speech festination. We contrast these patients’ neuropsychological features to a third patient with advanced PD who shows no signs of impending death. Monitoring neuropsychological signs of executive dysfunction, explaining the neuropsychological dysfunctions to the patient and spouse while recognizing the past and retained cognitive competencies of the person is an important component of end of life psychological care. In the context of this type of consultation, the patient may experience an opportunity to communicate their emotional concerns prior to death which further reduces the anxiety associated with death.

Delay discounting and under-valuing of recent information predict poorer adherence to social distancing measures during the COVID-19 pandemic

The COVID-19 pandemic has brought about unprecedented global changes in individual and collective behaviour. To reduce the spread of the virus, public health bodies have promoted social distancing measures while attempting to mitigate their mental health consequences. The current study aimed to identify cognitive predictors of social distancing adherence and mental health symptoms, using computational models derived from delay discounting (the preference for smaller, immediate rewards over larger, delayed rewards) and patch foraging (the ability to trade-off between exploiting a known resource and exploring an unknown one). In a representative sample of the UK population (N = 442), we find that steeper delay discounting predicted poorer adherence to social distancing measures and greater sensitivity to reward magnitude during delay discounting predicted higher levels of anxiety symptoms. Furthermore, under-valuing recently sampled information during foraging independently predicted greater violation of lockdown guidance. Our results suggest that those who show greater discounting of delayed rewards struggle to maintain social distancing. Further, those who adapt faster to new information are better equipped to change their behaviour in response to public health measures. These findings can inform interventions that seek to increase compliance with social distancing measures whilst minimising negative repercussions for mental health.