The Role of Personality in a Regular Cognitive Monitoring Program.

OBJECTIVES: This study examines the role of personality in cognitive performance, adherence, and satisfaction with regular cognitive self-monitoring. MATERIALS AND METHODS: One hundred fifty-seven cognitively healthy older adults, age 55+, completed the 44-item Big-Five Inventory and were subsequently engaged in online monthly cognitive monitoring using the Cogstate Brief Battery for up to 35 months (M=14 mo, SD=7 mo). The test measures speed and accuracy in reaction time, visual learning, and working memory tasks. RESULTS: Neuroticism, although not related to cognitive performance overall (P>0.05), was related to a greater increase in accuracy (estimate=0.07, P=0.04) and speed (estimate=-0.09, P=0.03) on One Card Learning. Greater conscientiousness was related to faster overall speed on Detection (estimate=-1.62, P=0.02) and a significant rate of improvement in speed on One Card Learning (estimate=-0.10, P<0.03). No differences in satisfaction or adherence to monthly monitoring as a function of neuroticism or conscientiousness were observed. CONCLUSIONS: Participants volunteering for regular cognitive monitoring may be quite uniform in terms of personality traits, with personality traits playing a relatively minor role in adherence and satisfaction. The more neurotic may exhibit better accuracy and improve in speed with time, whereas the more conscientious may perform faster overall and improve in speed on some tasks, but the effects appear small.

Personality and its Relationship to Depression and Cognition in Older Adults: Implications for Practice.

OBJECTIVES: Personality is an important contributor to an individual's mental health and is consistently linked to the two most prevalent mental health conditions among older adults: dementia and depression. This review summarizes the current findings on personality and its association with cognitive decline and depression, as well as treatment outcomes and possible intervention strategies. METHODS: Literature searches were conducted in Web of Science, PubMed, and PsycINFO. Search terms included 'personality traits,' 'depression,' 'treatment,' and 'older adults.' RESULTS: Cognitive decline and depressive disorders are both associated with a common personality profile: high neuroticism, and low conscientiousness, extraversion, openness, and agreeableness. Across studies, the most consistent predictor of late-life depression, its course, and treatment outcomes is higher neuroticism. CONCLUSIONS: Personality traits are associated with cognitive decline, as well as the diagnosis and course of late-life depression in older adults. However, formal personality assessment is not typically incorporated in clients' treatment plans, even though personality traits may influence treatment efficacy and outcomes. CLINICAL IMPLICATIONS: Formal assessment of personality traits may be beneficial in terms of treatment adherence and outcomes for older adults. Tailored interventions that specifically target the client's strengths are likely to be well received by both clients and clinicians.

Who Volunteers? Results From an Internet-Based Cognitive Monitoring Study of Community-Based Older Adults.

Objectives. Volunteering promotes well-being and may provide added purpose to life after retirement. Limited evidence exists regarding the characteristics and study adherence among those who participate in longitudinal studies while also volunteering outside the study. We assessed characteristics and adherence of older adults who volunteered outside of participation in a regular monthly cognitive monitoring study. Method. All 124 participants with complete data were included. Participants were from a regular cognitive monitoring study that required completion of a 15-min monthly online cognitive assessment. Analysis of covariance and logistic regression analysis were performed to examine differences between volunteers and nonvolunteers. Results. Those who volunteered outside the study were significantly less likely to be college-educated (although all participants were highly educated) but the two groups were cognitively similar. Volunteers had significantly lower scores for neuroticism. Those who volunteered also were significantly less likely to drop out but had poorer study adherence. The most frequent type of volunteering was religious activities. Volunteers were motivated mainly by altruism, although most reported multiple reasons. Conclusion. Older adults who enroll in a longitudinal research study and volunteer outside the study have similar personal characteristics as those who opt out of additional volunteering, with somewhat less education and more favorable personality traits. However, they may be more likely to drop out and need more reminders. Therefore, those who volunteer outside a study may need more attention from study administrators and potentially a more individualized schedule that works around their volunteer obligations.

Middle-aged and older Black adults' experiences completing a traditional paper-and-pencil cognitive battery and two contemporary computerized cognitive batteries.

Traditional neuropsychological batteries may account for disparities in education and may produce testing anxiety, particularly for older Black adults. Computerized batteries may be more amenable to use. The current study used mixed-methods content analysis to explore the perceptions of middle-aged and older Black adults (N = 92) about the CogState Brief Battery (CSBB) and Joggle® computerized battery and a traditional paper-and-pencil neuropsychological battery. The data was analyzed using Atlas.ti. Themes were developed and qualitative responses were converted to quantitative counts to make comparisons to thematic differences based on demographics. Results: The majority of participants liked all three batteries. There were no differences based on demographics. Two prevalent themes across all three measures for what participants liked were 1) mental stimulation and memory, and 2) challenging. A disliked theme specific to the computerized batteries was personal competence. In summary, an array of accessible cognitive batteries is necessary to address individual preferences.

The Neurophysiology of Caffeine as a Central Nervous System Stimulant and the Resultant Effects on Cognitive Function.

Caffeine is one of the world's most consumed drugs. According to the Washington Post (2015), two billion cups of coffee are consumed per day worldwide. Caffeine is classified as a central nervous system (CNS) stimulant and an organic molecule called methylxanthine. Caffeine has three notable mechanisms of action on the CNS that produce a psychostimulant effect. These effects are responsible for the effect that caffeine has on cognitive function. The effects of caffeine consumption on cognitive function have been demonstrated across several studies involving humans and animals. With the immense number of people consuming caffeine around the world, it is of vital importance to study the effects that this drug has on people's cognitive function. This literature review provides useful insights on this question through the analysis of caffeine's effects on cognitive function, along with information on caffeine's three modes of action. The findings of recent studies show mixed results regarding the effects of caffeine on mood, attention, processing speed, and memory. Current research suggests that if caffeine does have an effect on mood, the most significant changes may be anxiety. Studies did not support caffeine as having any significant effect on attention, but that it did play a role in enhancing processing speed. The majority of the studies reviewed suggest caffeine as having a significant positive effect on both short and long-term memory in adults and the elderly. Current findings warrant continued research on the association of caffeine and the resultant effects on cognitive function.

Auditory Processing of Older Adults With Probable Mild Cognitive Impairment.

Purpose: Studies suggest that deficits in auditory processing predict cognitive decline and dementia, but those studies included limited measures of auditory processing. The purpose of this study was to compare older adults with and without probable mild cognitive impairment (MCI) across two domains of auditory processing (auditory performance in competing acoustic signals and temporal aspects of audition). Method: The Montreal Cognitive Assessment (Nasreddine et al., 2005) was used to classify participants as with or without probable MCI. In this cross-sectional study, participants (n = 79) completed 4 measures of auditory processing: Synthetic Sentence Identification with Ipsilateral Competing Message (Gates, Beiser, Rees, D'Agostino, & Wolf, 2002), Dichotic Sentence Identification (Fifer, Jerger, Berlin, Tobey, & Campbell, 1983), Adaptive Tests of Temporal Resolution (ATTR; Lister & Roberts, 2006; across-channel and within-channel subtests), and time-compressed speech (Wilson, 1993; Wilson, Preece, Salamon, Sperry, & Bornstein, 1994). Audiometry was also conducted. Results: Those with probable MCI had significantly poorer performance than those without MCI on Synthetic Sentence Identification with Ipsilateral Competing Message, Dichotic Sentence Identification, and the ATTR within-channel subtest. No group differences were found for time-compressed speech, ATTR across-channel, or audiometric measures. Conclusions: Older adults with cognitive impairment not only have difficulty with competing acoustic signals but may also show poor temporal processing. The profile of auditory processing deficits among older adults with cognitive impairment may include multiple domains.

Regular cognitive self-monitoring in community-dwelling older adults using an internet-based tool.

INTRODUCTION: Monitoring for various health conditions (e.g., breast cancer, hypertension) has become common practice. However, there is still no established tool for regular monitoring of cognition. In this pilot longitudinal study, we examined the utility and feasibility of internet-based cognitive self-monitoring using data from the first 12 months of this ongoing study. METHOD: Cognitively healthy community-dwelling older adults (Montreal Cognitive Assessment ≥ 26) were enrolled on a rolling basis and were trained in self-administration of the internet-based version of the CogState Brief Battery. The battery uses playing cards and includes Detection, Identification, One Back, and One Card Learning subtasks. RESULTS: Of the 118 participants enrolled, 26 dropped out, mostly around first in-home session. Common reasons for participant attrition were internet browser problems, health problems, and computer problems. Common reasons for delayed session completion were being busy, being out of town, and health problems. Participants needed about one reminder phone call per four completed sessions or one reminder email per five completed sessions. Performance across the monthly sessions showed slight (but significant) improvement on three of the four tasks. Change in performance was unaffected by individual characteristics with the exception of previous computer use, with less frequent users showing greater improvement on One Card Learning. We also found low intraindividual variability in monthly test scores beyond the first self-administered testing session. CONCLUSIONS: Internet-based self-monitoring offers a potentially feasible and effective method of continuous cognitive monitoring among older adults.