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Adaptation to the driving simulator and prediction of the braking time performance, with and without distraction, in older adults and middle-aged adults
Canonica, Alexandra Carolina; Alonso, Angelica Castilho; Brech, Guilherme Carlos; Peterson, Mark; Luna, Natália Mariana Silva; Busse, Alexandre Leopold; Jacob-Filho, Wilson; Rosa, Juliana Leme; Soares-Junior, Jose Maria; Baracat, Edmund Chada; Greve, Júlia Maria DAndrea.
Affiliation
  • Canonica, Alexandra Carolina; Universidade de São Paulo. Faculdade de Medicina. Hospital das Clínicas. São Paulo. BR
  • Alonso, Angelica Castilho; Universidade de São Paulo. Faculdade de Medicina. Hospital das Clínicas. São Paulo. BR
  • Brech, Guilherme Carlos; Universidade de São Paulo. Faculdade de Medicina. Hospital das Clínicas. São Paulo. BR
  • Peterson, Mark; University of Michigan-Medicine. Department of Physical Medicine and Rehabilitation. Michigan. US
  • Luna, Natália Mariana Silva; Universidade de São Paulo. Faculdade de Medicina. Hospital das Clínicas. São Paulo. BR
  • Busse, Alexandre Leopold; Universidade de São Paulo. Faculdade de Medicina. Departamento de Geriatria. São Paulo. BR
  • Jacob-Filho, Wilson; Universidade de São Paulo. Faculdade de Medicina. Departamento de Geriatria. São Paulo. BR
  • Rosa, Juliana Leme; Universidade São Judas Tadeu. Graduate Program in Aging Sciences. São Paulo. BR
  • Soares-Junior, Jose Maria; Universidade de São Paulo. Faculdade de Medicina. Hospital das Clínicas. São Paulo. BR
  • Baracat, Edmund Chada; Universidade de São Paulo. Faculdade de Medicina. Hospital das Clínicas. São Paulo. BR
  • Greve, Júlia Maria DAndrea; Universidade de São Paulo. Faculdade de Medicina. Hospital das Clínicas. São Paulo. BR
Clinics ; Clinics;78: 100168, 2023. tab, graf
Article in En | LILACS-Express | LILACS | ID: biblio-1421268
Responsible library: BR1.1
ABSTRACT
Abstract Context Many studies show the importance of evaluating the adaptation time of subjects in a virtual driving environment, looking forwards to a response as closest as a possible real vehicle.

Objectives:

This study aimed to identify and analyze the adaptation to the driving simulator in older adults and middle-aged adults with and without a distraction, and a secondary aim was to identify predictors of safe performance for older adults' drives.

Design:

Male and female middle-aged adults (n = 62, age = 30.3 ± 7.1 years) and older adults (n = 102, age = 70.4 ± 5.8 years) were evaluated for braking time performance in a driving simulator; cognition performance assessment included the Mini-Mental State Examination; motor evaluation included ankle flexor muscle strength with the isokinetic dynamometer and handgrip strength; the postural balance was evaluated with Timed Up and Go test, with and without a cognitive distraction task.

Results:

Older adults (men and women) and middle-aged adult women require more time to adapt to the driving simulator. The distractor increases the adaptation time for all groups. The main predictors of braking time for older women are age, muscle strength, and postural balance associated with distraction, and for older men, muscle strength.

Conclusions:

Age, sex, and distractor interfere in the adaptation of the virtual task of driving in a simulator. The evaluation model developed with multi-domains demonstrated the ability to predict which skills are related to braking time with and without the presence of the distractor.
Key words

Full text: 1 Collection: 01-internacional Database: LILACS Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Clinics Journal subject: MEDICINA Year: 2023 Document type: Article / Project document Affiliation country: Brazil / United States Country of publication: Brazil

Full text: 1 Collection: 01-internacional Database: LILACS Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Clinics Journal subject: MEDICINA Year: 2023 Document type: Article / Project document Affiliation country: Brazil / United States Country of publication: Brazil