Evidence map›Paper›PMID 36449971›Full record

ArticleRevista brasileira de enfermagem2022

Handgrip strength in older adults and driving aptitude.

Maria Helena Lenardt, Tânia Maria Lourenço, Susanne Elero Betiolli, Maria Angélica Binotto, Clarice Maria Sétlik, Márcia Marrocos Aristides Barbiero

Open access · goldAbstract read
In one paragraph

Article in Revista brasileira de enfermagem, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.4field-weighted citation impact, top 42% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 2 institutions in 1 country.

Maria Helena LenardtUniversidade Federal do Paraná. Curitiba, Paraná, Brazil.ORCID http://orcid.org/0000-0001-8309-4003
Tânia Maria LourençoUniversidade Federal do Paraná. Curitiba, Paraná, Brazil.ORCID http://orcid.org/0000-0002-1696-0626
Susanne Elero BetiolliUniversidade Federal do Paraná. Curitiba, Paraná, Brazil.ORCID http://orcid.org/0000-0003-4469-4473
Maria Angélica BinottoUniversidade Estadual do Centro-Oeste. Irati, Paraná, Brazil.ORCID http://orcid.org/0000-0002-9158-6634
Clarice Maria SétlikUniversidade Federal do Paraná. Curitiba, Paraná, Brazil.ORCID http://orcid.org/0000-0003-2981-2726
Márcia Marrocos Aristides BarbieroUniversidade Federal do Paraná. Curitiba, Paraná, Brazil.ORCID http://orcid.org/0000-0002-1567-3641
Universidade Federal do Paraná · BRUniversidade Estadual do Centro-Oeste · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveto analyze handgrip strength as a predictor of the inability to drive in older adults.

methoda cross-sectional study conducted in traffic clinics with 421 older adults in Curitiba-Paraná from January 2015 to December 2018. A sociodemographic and clinical questionnaire, handgrip strength test, and queries from the National Registry of Qualified Drivers form were applied.

resultsReduced handgrip strength was not a predictor of inaptitude for vehicular driving (p=0.649). The predictors of inaptitude were: low education (p=0.011), incomplete elementary education (p=0.027), and cognition (p=0.020).

conclusionreduced handgrip strength was not shown to predict for loss of driving skills in older adults. Low education level and reduced cognition level are conditions that were shown to be predictors for loss of vehicular driving license.

Indexed as

AptitudeAutomobile DrivingAgedCross-Sectional StudiesEducational StatusHand StrengthHumans

Identifiers

PMID36449971
PMCPMC9730861
OpenAlexW4310595453

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.