Cognitive and emotional factors influence specific domains of postural control in individuals with moderate-to-severe Parkinson's disease

Gait Posture. 2023 Mar:101:66-72. doi: 10.1016/j.gaitpost.2023.02.002. Epub 2023 Feb 3.

Abstract

Introduction: Cognition and emotional state are domains that highly interfere with postural control in individuals with Parkinson's disease (PD). This study aims to find associations between executive function, anxiety, depression, and reactive and anticipatory postural control domains in individuals with moderate-to-severe Parkinson's disease.

Methods: In this study, 34 individuals with PD while on medication were thoroughly assessed for postural control in perturbed, quiet standing and stepping. We performed multiple linear stepwise regressions using postural variables as dependent and cognitive/emotional as independent variables.

Results: The results showed that cognitive flexibility explained 23 % of anticipatory postural adjustments (APA) duration, inhibitory control explained 42 % of instability on a malleable surface, anxiety explained 21 % of APA amplitude, and 38 % of reactive postural response amplitude.

Conclusion: Our results highlight the impact of emotional and cognitive states on particular domains of postural control in individuals with PD while on medication. These results may have significant implications for future treatments, mainly considering the predictors for postural control domains, which were consistent with the assumption that impairments in affective and executive domains underlie posture. As we have shown that cognitive and emotional states influence postural control domains in individuals with PD, this should be taken into account in rehabilitation protocols.

Keywords: Anticipatory postural adjustments; Cognitive disorders; Movement disorders; Reactive responses.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Cognition
  • Emotions
  • Humans
  • Parkinson Disease*
  • Postural Balance / physiology
  • Posture / physiology