ArticleJournal of neuroengineering and rehabilitation2026
Does cognition affect supervised and unsupervised mobility differently in people with Parkinson's disease? A cross-sectional study.
Article in Journal of neuroengineering and rehabilitation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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10 authors.
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Abstract
backgroundThe co-existence of cognitive and mobility impairments is frequent in people with Parkinson’s disease (PwPD). Cognitive functions are associated with different types of supervised mobility, but much less is known about unsupervised mobility.
methodsMild-to-moderate PwPD, without severe cognitive impairment and not using walking aids, performed three hospital-based supervised mobility tasks: forward walking, instrumented timed-up-and-go (iTUG) with a lower-back-mounted inertial sensor and a 3-meter backward walking test. Forward walking speed (FWS), backward walking speed (BWS) and mean angular velocity (MAV) of the 180° turn during iTUG were calculated. Unsupervised mobility was monitored through average daily steps (AvDS) measured over 5 days by means of a commercial smartwatch (Garmin Vivosmart 4) in free-living conditions. Cognitive performance was evaluated using the Montreal Cognitive Assessment (MoCA) and the Word-Colour Stroop Test (WCST). Multivariable linear regression models with backward elimination method were used to evaluate how much variance of each mobility measure was explained by cognitive functions and the effect of other clinical and demographic variables.
resultsA total of 105 PwPD were recruited. Regarding supervised mobility, multivariable regressions revealed that cognitive functions explained 12.3% (P < 0.001), 12.4% (P < 0.001) and 15.0% (P < 0.001) variance of FWS, MAV and BWS, respectively. For unsupervised mobility, cognitive functions explained only 5.5% (P = 0.009) of AvDS variance. WCST was included in all regression models and was a significant predictor of all mobility parameters, either supervised or unsupervised. MoCA was included only in the model for supervised BWS and was not a significant predictor. When considering clinical and demographic variables, neither MoCA nor WCST survived as significant predictors.
conclusionsOur findings support the role of executive functions in PwPD mobility. Cognition correlated with supervised mobility more than unsupervised, likely due to the role of individual and environmental factors. These findings suggest that a comprehensive approach to PD should include cognitive assessments alongside traditional motor evaluation. Mobility evaluation in PwPD should be performed in both supervised and unsupervised conditions.
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