Longitudinal Predictors of Informant-Rated Everyday Function in Mild Cognitive Impairment

Baseline Differences in Driving Frequency as a Predictor of Cognitive Decline and Alzheimer's Disease

OBJECTIVE

To extend prior research by examining daily driving frequency as a predictor of cognitive decline and later diagnosis of Alzheimer's disease.

METHODS

1,426 older adults completed batteries of questionnaires and neuropsychological tests at baseline and yearly follow-ups (M = 6.8, SD = 4.9). Linear mixed effects models were estimated to examine whether daily driving frequency at baseline was predictive of cognitive decline while accounting for IADLs, mobility, depression, and demographics. Cox regression was used to examine driving frequency as a predictor of Alzheimer's disease diagnosis.

RESULTS

Less daily driving frequency was associated with greater decline in all cognitive domains over time except for working memory. Although driving frequency was associated with these changes in cognition, it did not uniquely predict the development of Alzheimer's disease when accounting for other factors (eg, other IADLs).

CONCLUSIONS

Our findings extend prior research linking driving cessation to greater levels of cognitive decline. Future work might benefit from examining the utility of driving habits (especially changes in driving) as measures of everyday functioning in older adult evaluations.

Analysis of Convergent Validity of Performance-Based Activities of Daily Living Assessed by PA-IADL Test in Relation to Traditional (Standard) Cognitive Assessment to Identify Older Adults with Mild Cognitive Impairment

Difficulty in performing instrumental activities of daily living (IADLs) is currently considered an important indicator of cognitive impairment in the elderly. A non-experimental case-control investigation was conducted to assess the convergent validity of the PA-IADL with traditional (standard) cognitive assessment tests in its ability to identify adults with mild cognitive impairment. The analysis of the data was carried out by means of various multivariate statistical tests, and the sequence in its execution led to the conclusion that 8 of the 12 Tasks that make up the PA-IADL allow for the identification of people with mild cognitive impairment (MCI) to the same extent as traditional cognitive assessment tests and regardless of age. Age was found to be a moderating variable in the performance of the eight tasks; however, the results allow us to hypothesize that people with MCI experience a significant decline when it happens but thereafter, the deterioration that occurs does so at the same rate as the deterioration experienced by healthy people. They also allow us to hypothesize that the difference in the cognitive skills required by the eight functional tasks, and therefore also in the cognitive skills required by the traditional (standard) tests of a person with MCI compared to a person of the same age without MCI (Healthy), is approximately 10 years. These hypotheses have remarkable relevance and should be tested via longitudinal research. In the meantime, the results highlight the importance of the IADL assessment for the diagnosis of MCI as a complement to the standard cognitive assessment.

Predictors of everyday functional impairment in older patients with schizophrenia: A cross-sectional study

Objective

This study investigates the prevalence of everyday functional impairment among older adults with schizophrenia and builds a predictive model of functional decline.

Methods

A total of 113 hospitalized older patients enrolled in this study. Functional impairment is defined according to the Functional Activities Questionnaire (FAQ). Patients who scored <9 could function independently daily, while those who scored ≥9 had problems in everyday functional activities. Data collected include sociodemographic characteristics, depressive symptoms, social support, and physical comorbidities, which were classified according to the eight anatomical systems of the human body.

Results

The sample comprised 75% female participants with a mean age of 63.74 ± 7.42 years old. A total of 33.6% had a functional impairment, while cognitive impairment was present in 63.7%. Independent participants had better urinary system and respiratory system health (P < 0.05). After adjusting for the potential confounders of age, disease course, physical comorbidities, psychiatric symptoms, the ability to independently carry out daily activities, and cognitive function, we found that impaired everyday function is associated with poor cognition, depressive symptoms, first admission, psychiatric symptoms (especially positive symptoms), ADL, and respiratory and urinary system diseases.

Conclusion

Everyday functional capacity is predicted by disease course, admission time, cognition, depressive symptoms, severity of psychosis, ability to carry out daily activities, and respiratory and urinary system health status. Urinary system diseases contribute significantly to the prediction of impaired function. Future studies should focus on health status, drug use, and everyday functional recovery in older patients with schizophrenia.

Association Between Neuroticism and Dementia on Healthcare Use: A Multi-Level Analysis Across 27 Countries from The Survey of Health, Ageing and Retirement in Europe (SHARE)

BACKGROUND

People with high levels of neuroticism are greater users of health services. Similarly, people with dementia have a higher risk of hospitalization and medical visits. As a result, dementia and a high level of neuroticism increase healthcare use (HCU). However, how these joint factors impact the HCU at the population level is unknown. Similarly, no previous study has assessed the degree of generalization of such impacts, considering relevant variables including age, gender, socioeconomic, and country-level variability.

OBJECTIVE

To examine how neuroticism and dementia interact in the HCU.

METHODS

A cross-sectional study was performed on a sample of 76,561 people (2.4% with dementia) from 27 European countries and Israel. Data were analyzed with six steps multilevel non-binomial regression modeling, a statistical method that accounts for correlation in the data taken within the same participant.

RESULTS

Both dementia (Incidence Rate Ratio (IRR): 1.537; α= 0.000) and neuroticism (IRR: 1.122; α= 0.000) increased the HCU. The effect of having dementia and the level of neuroticism increased the HCU: around 53.67% for the case of having dementia, and 12.05% for each increment in the level of neuroticism. Conversely, high levels of neuroticism in dementia decreased HCU (IRR: 0.962; α= 0.073). These results remained robust when controlling for age, gender, socioeconomic, and country-levels effects.

CONCLUSION

Contrary to previous findings, neuroticism trait in people with dementia decreases the HCU across sociodemographic, socioeconomic, and country heterogeneity. These results, which take into account this personality trait among people with dementia, are relevant for the planning of health and social services.