Personalized Computerized Training for Cognitive Dysfunction after COVID-19: A Before-and-After Feasibility Pilot Study
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https://hdl.handle.net/10037/30288Dato
2023-02-10Type
Journal articleTidsskriftartikkel
Peer reviewed
Forfatter
Duñabeitia, Jon Andoni; Mera, Francisco; Baro, Óscar; Jadad-Garcia, Tamen; Jadad, Alejandro R.Sammendrag
The current pilot study was set to evaluate the feasibility and potential benefit of a personalized computerized cognitive training (CCT) intervention to improve cognitive function among
people living with post-acute sequelae of COVID-19 (PASC). Seventy three adults who self-reported
cognitive dysfunction more than 3 months after a diagnosis of COVID-19 took part in an 8-week
training study. Participants’ general cognitive function was assessed before they completed as many
cognitive daily training sessions as they wished during an 8-week period, using a personalized CCT
application at home. At the end of this period, participants repeated the general cognitive function
assessment. The differences between the scores at 8 weeks and baseline in five cognitive domains
(attention, memory, coordination, perception, reasoning), complemented with analyses of the changes
based on the participants’ age, training time, self-reported health level at baseline and time since
the initial COVID-19 infection. Participants had significant cognitive dysfunction and self-reported
negative health levels at baseline. Most of the participants obtained higher scores after CCT in each
of the domains as compared with baseline. The magnitude of this score increase was high across
domains. It is concluded that a self-administered CCT based on gamified cognitive tasks could be
an effective way to ameliorate cognitive dysfunction in persons with PASC. The ClinicalTrials.gov
identifier is NCT05571852.
Forlag
MDPISitering
Duñabeitia, Mera, Baro, Jadad-Garcia, Jadad. Personalized Computerized Training for Cognitive Dysfunction after COVID-19: A Before-and-After Feasibility Pilot Study. International Journal of Environmental Research and Public Health (IJERPH). 2023;20(4)Metadata
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