Unsupervised but not supervised gait parameters are related to fatigue in Parkinson’s disease: a pilot study
IntroductionFatigue is a common and disabling symptom in Parkinson’s disease (PD), also affecting gait. Detection of fatigue-associated changes of gait using mobile health technologies (MHT) could become increasingly effective.MethodsCognitively unimpaired PD patients without fluctuations (UPDRS IV...
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2023-11-01
|
| Series: | Frontiers in Aging Neuroscience |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fnagi.2023.1279722/full |
| _version_ | 1797490663631093760 |
|---|---|
| author | Andrea Pilotto Andrea Pilotto Andrea Pilotto Andrea Rizzardi Andrea Rizzardi Cinzia Zatti Cinzia Zatti Clint Hansen Clint Hansen Antonio Donini Robbin Romijnders Robbin Romijnders Walter Maetzler Walter Maetzler Alessandro Padovani Alessandro Padovani Alessandro Padovani |
| author_facet | Andrea Pilotto Andrea Pilotto Andrea Pilotto Andrea Rizzardi Andrea Rizzardi Cinzia Zatti Cinzia Zatti Clint Hansen Clint Hansen Antonio Donini Robbin Romijnders Robbin Romijnders Walter Maetzler Walter Maetzler Alessandro Padovani Alessandro Padovani Alessandro Padovani |
| author_sort | Andrea Pilotto |
| collection | DOAJ |
| description | IntroductionFatigue is a common and disabling symptom in Parkinson’s disease (PD), also affecting gait. Detection of fatigue-associated changes of gait using mobile health technologies (MHT) could become increasingly effective.MethodsCognitively unimpaired PD patients without fluctuations (UPDRS IV < 1) underwent a standard neurological assessment including the PD-Fatigue scale (PFS-16). PD patients with (PD-F) and without fatigue (PD-N) were matched for age, sex, cognitive function and disease severity. Each participant underwent MHT gait assessment under supervised condition (SC) and unsupervised condition (UC).ResultsGait parameters of 21 PD-F and 21 PD-N did not significantly differ under SC. Under UC, PD-F showed higher step time, step time variability and asymmetry index compared to PD-N and the PFS-16 correlated with step time.ConclusionThis is the first MHT-based study with PD patients showing a correlation between fatigue and gait parameters. In addition, the data collected suggest that UC is clearly superior to SC in addressing this question. |
| first_indexed | 2024-03-10T00:36:14Z |
| format | Article |
| id | doaj.art-463e29b4db154e13b932309a42fe3bbf |
| institution | Directory Open Access Journal |
| issn | 1663-4365 |
| language | English |
| last_indexed | 2024-03-10T00:36:14Z |
| publishDate | 2023-11-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Aging Neuroscience |
| spelling | doaj.art-463e29b4db154e13b932309a42fe3bbf2023-11-23T15:15:22ZengFrontiers Media S.A.Frontiers in Aging Neuroscience1663-43652023-11-011510.3389/fnagi.2023.12797221279722Unsupervised but not supervised gait parameters are related to fatigue in Parkinson’s disease: a pilot studyAndrea Pilotto0Andrea Pilotto1Andrea Pilotto2Andrea Rizzardi3Andrea Rizzardi4Cinzia Zatti5Cinzia Zatti6Clint Hansen7Clint Hansen8Antonio Donini9Robbin Romijnders10Robbin Romijnders11Walter Maetzler12Walter Maetzler13Alessandro Padovani14Alessandro Padovani15Alessandro Padovani16Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, ItalyLaboratory of Digital Neurology and Biosensors, University of Brescia, Brescia, ItalyNeurology Unit, Department of Continuity of Care and Frailty, ASST Spedali Civili Brescia Hospital, Brescia, ItalyNeurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, ItalyLaboratory of Digital Neurology and Biosensors, University of Brescia, Brescia, ItalyNeurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, ItalyLaboratory of Digital Neurology and Biosensors, University of Brescia, Brescia, ItalyDepartment of Neurology, University Hospital Schleswig-Holstein, Kiel, GermanyDepartment of Neurology, Kiel University, Kiel, GermanyNeurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, ItalyDepartment of Neurology, University Hospital Schleswig-Holstein, Kiel, GermanyDepartment of Neurology, Kiel University, Kiel, GermanyDepartment of Neurology, University Hospital Schleswig-Holstein, Kiel, GermanyDepartment of Neurology, Kiel University, Kiel, GermanyNeurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, ItalyLaboratory of Digital Neurology and Biosensors, University of Brescia, Brescia, ItalyNeurology Unit, Department of Continuity of Care and Frailty, ASST Spedali Civili Brescia Hospital, Brescia, ItalyIntroductionFatigue is a common and disabling symptom in Parkinson’s disease (PD), also affecting gait. Detection of fatigue-associated changes of gait using mobile health technologies (MHT) could become increasingly effective.MethodsCognitively unimpaired PD patients without fluctuations (UPDRS IV < 1) underwent a standard neurological assessment including the PD-Fatigue scale (PFS-16). PD patients with (PD-F) and without fatigue (PD-N) were matched for age, sex, cognitive function and disease severity. Each participant underwent MHT gait assessment under supervised condition (SC) and unsupervised condition (UC).ResultsGait parameters of 21 PD-F and 21 PD-N did not significantly differ under SC. Under UC, PD-F showed higher step time, step time variability and asymmetry index compared to PD-N and the PFS-16 correlated with step time.ConclusionThis is the first MHT-based study with PD patients showing a correlation between fatigue and gait parameters. In addition, the data collected suggest that UC is clearly superior to SC in addressing this question.https://www.frontiersin.org/articles/10.3389/fnagi.2023.1279722/fullgait analysisfatigueParkinson’s diseasesupervised and unsupervised assessmentmobile health technology |
| spellingShingle | Andrea Pilotto Andrea Pilotto Andrea Pilotto Andrea Rizzardi Andrea Rizzardi Cinzia Zatti Cinzia Zatti Clint Hansen Clint Hansen Antonio Donini Robbin Romijnders Robbin Romijnders Walter Maetzler Walter Maetzler Alessandro Padovani Alessandro Padovani Alessandro Padovani Unsupervised but not supervised gait parameters are related to fatigue in Parkinson’s disease: a pilot study Frontiers in Aging Neuroscience gait analysis fatigue Parkinson’s disease supervised and unsupervised assessment mobile health technology |
| title | Unsupervised but not supervised gait parameters are related to fatigue in Parkinson’s disease: a pilot study |
| title_full | Unsupervised but not supervised gait parameters are related to fatigue in Parkinson’s disease: a pilot study |
| title_fullStr | Unsupervised but not supervised gait parameters are related to fatigue in Parkinson’s disease: a pilot study |
| title_full_unstemmed | Unsupervised but not supervised gait parameters are related to fatigue in Parkinson’s disease: a pilot study |
| title_short | Unsupervised but not supervised gait parameters are related to fatigue in Parkinson’s disease: a pilot study |
| title_sort | unsupervised but not supervised gait parameters are related to fatigue in parkinson s disease a pilot study |
| topic | gait analysis fatigue Parkinson’s disease supervised and unsupervised assessment mobile health technology |
| url | https://www.frontiersin.org/articles/10.3389/fnagi.2023.1279722/full |
| work_keys_str_mv | AT andreapilotto unsupervisedbutnotsupervisedgaitparametersarerelatedtofatigueinparkinsonsdiseaseapilotstudy AT andreapilotto unsupervisedbutnotsupervisedgaitparametersarerelatedtofatigueinparkinsonsdiseaseapilotstudy AT andreapilotto unsupervisedbutnotsupervisedgaitparametersarerelatedtofatigueinparkinsonsdiseaseapilotstudy AT andrearizzardi unsupervisedbutnotsupervisedgaitparametersarerelatedtofatigueinparkinsonsdiseaseapilotstudy AT andrearizzardi unsupervisedbutnotsupervisedgaitparametersarerelatedtofatigueinparkinsonsdiseaseapilotstudy AT cinziazatti unsupervisedbutnotsupervisedgaitparametersarerelatedtofatigueinparkinsonsdiseaseapilotstudy AT cinziazatti unsupervisedbutnotsupervisedgaitparametersarerelatedtofatigueinparkinsonsdiseaseapilotstudy AT clinthansen unsupervisedbutnotsupervisedgaitparametersarerelatedtofatigueinparkinsonsdiseaseapilotstudy AT clinthansen unsupervisedbutnotsupervisedgaitparametersarerelatedtofatigueinparkinsonsdiseaseapilotstudy AT antoniodonini unsupervisedbutnotsupervisedgaitparametersarerelatedtofatigueinparkinsonsdiseaseapilotstudy AT robbinromijnders unsupervisedbutnotsupervisedgaitparametersarerelatedtofatigueinparkinsonsdiseaseapilotstudy AT robbinromijnders unsupervisedbutnotsupervisedgaitparametersarerelatedtofatigueinparkinsonsdiseaseapilotstudy AT waltermaetzler unsupervisedbutnotsupervisedgaitparametersarerelatedtofatigueinparkinsonsdiseaseapilotstudy AT waltermaetzler unsupervisedbutnotsupervisedgaitparametersarerelatedtofatigueinparkinsonsdiseaseapilotstudy AT alessandropadovani unsupervisedbutnotsupervisedgaitparametersarerelatedtofatigueinparkinsonsdiseaseapilotstudy AT alessandropadovani unsupervisedbutnotsupervisedgaitparametersarerelatedtofatigueinparkinsonsdiseaseapilotstudy AT alessandropadovani unsupervisedbutnotsupervisedgaitparametersarerelatedtofatigueinparkinsonsdiseaseapilotstudy |