Abstract

BackgroundNo papers have examined the relationship between socio-demographic characteristics and cognitive performance in oldest old subjects (i.e, > = 80 years old) asking for driving license renewal. We hypothesize that, even in this highly functioning population, age, sex, and education influence cognitive performance, expressed as total or single domain (raw) test scores. This research question allows to describe, identify, and preserve independence of subjects still able to drive safely.MethodsWe examined cross-sectionally a cohort of > = 80 years old subjects (at enrollment) asking for driving license renewal in the Milan area, Italy, 2011–2017. The analysis was restricted to 3378 first and 863 second visits where individual’s cognitive performance was evaluated. According to the study protocol, the Mini Mental State Examination (MMSE) test was administered at the first visit for driving license renewal and the Montreal Cognitive Assessment (MoCA) test at the second visit, following an additional renewal request. Ordinary least squares regression models were fitted at either time points. In each model, we included age, sex, and education as independent variables, whereas the dependent variable was total or single domain score for either test. In total, we fitted 15 regression models to assess our research hypothesis.ResultsThe median subject in our sample reached the maximum scores on domains targeting operational and tactical abilities implied in safe driving, but had sub-optimal scores in the long-term memory domain included among the strategic abilities. In multiple models, being > = 87 (versus 80- < 86 years old) significantly decreased the mean total and memory scores of MMSE, but not those of the MoCA. Females (versus males) had significantly higher mean total and long-term memory scores of either tests, but not other domains. Mean total and single domain scores increased for increasing education levels for either tests, with increments for high school graduates being ~ 2 of those with (at most) a junior high school diploma.ConclusionsSex and education, as well as age to a lesser extent, predict cognitive functioning in our oldest old population, thus confirming that concepts like cognitive reserve and successful ageing are valuable constructs in the identification of older subjects still able to drive.

Highlights

  • No papers have examined the relationship between socio-demographic characteristics and cognitive performance in oldest old subjects (i.e, > = 80 years old) asking for driving license renewal

  • Sample description: socio-demographic characteristics, total, and single domain scores Table 1 shows the distribution of the socio-demographic characteristics stratified for those subjects who received the Mini Mental State Examination (MMSE) at the first visit and the Montreal Cognitive Assessment (MoCA) at the second visit

  • With the exception of long-term memory, 75% (MMSE) and 50% (MoCA) of the sample reached the maximum value of the single domain scores

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Summary

Introduction

The increase in life expectancy is related to an increase in age-related conditions, including cognitive impairment and dementia [2,3,4]. In older subjects, those conditions may depend on demographic characteristics, such as age, education, and sex. Previous studies have supported the key finding that a higher education level is a strong predictor of sustained cognitive function in old ages [6,7,8] and may protect against age-related decline [9,10,11]. No significant differences were found between men and women on verbal, spatial, or other cognitive abilities in one paper [12], sex-related differences have been identified in episodic memory [12], verbal memory [8], cognitive speed and memory tasks [13]: women outperformed men on these tasks, despite their generally lower level of formal education [8]

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