Evidence map›Paper›PMID 32652945›Full record

ArticleBMC geriatrics2020

Socio-demographic characteristics and cognitive performance in oldest old subjects asking for driving license renewal.

Giuseppina Bernardelli, Palmina Caruso, Guido Travaini, Isabella Merzagora, Francesca Gualdi, Raffaela D G Sartori, Daniela Mari, Matteo Cesari, Valeria Edefonti

Open access · goldAbstract read
In one paragraph

Article in BMC geriatrics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.0field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 6 citations in OpenAlex.

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  4. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Giuseppina BernardelliDipartimento di Scienze Cliniche e di Comunità, Università degli Studi di Milano, Milan, Italy.
Palmina CarusoDipartimento di Scienze Biomediche per la Salute, Università degli Studi di Milano, Milan, Italy.
Guido TravainiFacoltà di Medicina, Università Vita e Salute San Raffaele, Milan, Italy.
Isabella MerzagoraDipartimento di Scienze Biomediche per la Salute, Università degli Studi di Milano, Milan, Italy.
Francesca GualdiUniversità degli Studi di Milano, Milan, Italy.
Raffaela D G SartoriDipartimento di Scienze Biomediche per la Salute, Università degli Studi di Milano, Milan, Italy.
Daniela MariUniversità degli Studi di Milano, Milan, Italy.
Matteo CesariDipartimento di Scienze Cliniche e di Comunità, Università degli Studi di Milano, Milan, Italy.
Valeria EdefontiDipartimento di Scienze Cliniche e di Comunità, Università degli Studi di Milano, Milan, Italy. valeria.edefonti@unimi.it.ORCID 0000-0002-1995-1477
University of Milan · ITVita-Salute San Raffaele University · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

CognitionCognitive DysfunctionAged, 80 and overDemographyFemaleHumansItalyMaleMemoryMental Status and Dementia TestsNeuropsychological TestsAgeDriving license renewalEducationMMSEMOCAOldest old subjectsSexSocio-demographic factors

Identifiers

PMID32652945
PMCPMC7353803
OpenAlexW3041133938

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.