2020
DOI: 10.1186/s12877-020-01637-1
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Socio-demographic characteristics and cognitive performance in oldest old subjects asking for driving license renewal

Abstract: Background: 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. 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. Methods: We exa… Show more

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Cited by 6 publications
(5 citation statements)
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References 59 publications
(92 reference statements)
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“…These findings align with similar studies in the literature highlighting a close relationship between depression and cognitive decline ( 11 , 13 ). Additionally, identifying significant associations between social support, education, healthcare utilization, and cognitive functions, especially in the context of memory and concentration problems in older adults, is consistent with previous research ( 10 , 13 ). Sloane introduces the term “slowing” or “reduced processing speed” in the context of cognition in older adults, often observed as aging progresses.…”
Section: Discussionsupporting
confidence: 90%
“…These findings align with similar studies in the literature highlighting a close relationship between depression and cognitive decline ( 11 , 13 ). Additionally, identifying significant associations between social support, education, healthcare utilization, and cognitive functions, especially in the context of memory and concentration problems in older adults, is consistent with previous research ( 10 , 13 ). Sloane introduces the term “slowing” or “reduced processing speed” in the context of cognition in older adults, often observed as aging progresses.…”
Section: Discussionsupporting
confidence: 90%
“…For each block, the choice of independent variables was selected based on priori from other scholars who found a significant association with cognitive impairment. For block 1, evidence can be found from [ [28] , [29] , [30] , [31] , [32] , [33] ], for block 2 [ [34] , [35] , [36] ], block 3 [ 30 , 37 , 38 ], block 4 [ [39] , [40] , [41] ], block 5 [ 42 , 43 ] and block 6 [ 44 , 45 ]. The variables selected were based on priori.…”
Section: Methodsmentioning
confidence: 99%
“…Pairwise comparisons and differences across the three study groups, i.e., individuals without cognitive impairment, patients with MildND or MajorND due to AD, in sex distribution, age, education and test scores, were assessed with Pearson Chi-square test, Kruskal–Wallis Chi-square test and pairwise test of proportions or Dunn test for post hoc multiple comparisons, as appropriate, since data normality assumption was rejected based on analysis of skewness and kurtosis. Three proportional odds logistic regression models (POLR models) were employed for studying the relationship between diagnostic groups (served as the ordinal dependent variable) and each one of the three different instruments (WoFi, WoFi-brief and ACEIIINaming) taking into account age, sex and education, which influence cognitive function in older adults (Bernardelli et al 2020 ). Stratified repeated random subsampling (stratified bootstrap resampling) was used to recursive partitioning to training and validation set (70/30 ratio) (James et al 2005 ; Lokhov et al 2012 ; Alexopoulos et al 2021 ; Skarlatos et al 2023 ).…”
Section: Methodsmentioning
confidence: 99%