Evaluation of walking activity and gait to identify physical and mental fatigue in neurodegenerative and immune disorders: preliminary insights from the IDEA-FAST feasibility study

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος:	Evaluation of walking activity and gait to identify physical and mental fatigue in neurodegenerative and immune disorders: preliminary insights from the IDEA-FAST feasibility study
Συγγραφείς:	Hinchliffe, Chloe, Rehman, Rana Zia Ur, Pinaud, Clemence, Branco, Diogo, Jackson, Dan, Ahmaniemi, Teemu, Guerreiro, Tiago, Chatterjee, Meenakshi, Manyakov, Nikolay V., Pandis, Ioannis, Davies, Kristen, Macrae, Victoria, Aufenberg, Svenja, Paulides, Emma, Hildesheim, Hanna, Kudelka, Jennifer, Emmert, Kirsten, Van Gassen, Geert, Rochester, Lynn, van der Woude, C. Janneke, Reilmann, Ralf, Maetzler, Walter, Ng, Wan-Fai, Del Din, Silvia, the IDEA-FAST Consortium
Πηγή:	http://lobid.org/resources/99370674155306441#!, 21(1):94.
Έτος έκδοσης:	2024
Συλλογή:	Publisso (ZB MED-Publikationsportal Lebenswissenschaften)
Θεματικοί όροι:	Mental Fatigue/physiopathology [MeSH], Aged [MeSH], Wearable devices, Neurodegenerative Diseases/complications [MeSH], Self Report [MeSH], Mental Fatigue/etiology [MeSH], Fatigue/etiology [MeSH], Walking, Feasibility Studies [MeSH], Mental Fatigue/diagnosis [MeSH], Gait Analysis/instrumentation [MeSH], Male [MeSH], Fatigue, Gait Analysis/methods [MeSH], Fatigue/physiopathology [MeSH], Fatigue/diagnosis [MeSH], Accelerometry/methods [MeSH], Real-world gait, Digital health, Female [MeSH], Machine learning, Adult [MeSH], Humans [MeSH], Wearable Electronic Devices [MeSH], Middle Aged [MeSH], Immune System Diseases/physiopathology [MeSH], Walking/physiology [MeSH], Accelerometry/instrumentation [MeSH], Research, Gait/physiology [MeSH]
Περιγραφή:	Abstract Background Many individuals with neurodegenerative (NDD) and immune-mediated inflammatory disorders (IMID) experience debilitating fatigue. Currently, assessments of fatigue rely on patient reported outcomes (PROs), which are subjective and prone to recall biases. Wearable devices, however, provide objective and reliable estimates of gait, an essential component of health, and may present objective evidence of fatigue. This study explored the relationships between gait characteristics derived from an inertial measurement unit (IMU) and patient-reported fatigue in the IDEA-FAST feasibility study. Methods Participants with IMIDs and NDDs (Parkinson's disease (PD), Huntington's disease (HD), rheumatoid arthritis (RA), systemic lupus erythematosus (SLE), primary Sjogren’s syndrome (PSS), and inflammatory bowel disease (IBD)) wore a lower-back IMU continuously for up to 10 days at home. Concurrently, participants completed PROs (physical fatigue (PF) and mental fatigue (MF)) up to four times a day. Macro (volume, variability, pattern, and acceleration vector magnitude) and micro (pace, rhythm, variability, asymmetry, and postural control) gait characteristics were extracted from the accelerometer data. The associations of these measures with the PROs were evaluated using a generalised linear mixed-effects model (GLMM) and binary classification with machine learning. Results Data were recorded from 72 participants: PD = 13, HD = 9, RA = 12, SLE = 9, PSS = 14, IBD = 15. For the GLMM, the variability of the non-walking bouts length (in seconds) with PF returned the highest conditional R2, 0.165, and with MF the highest marginal R2, 0.0018. For the machine learning classifiers, the highest accuracy of the current ...
Τύπος εγγράφου:	article in journal/newspaper
Γλώσσα:	English
Relation:	https://repository.publisso.de/resource/frl:6503281; https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11151484/
DOI:	10.1186/s12984-024-01390-1
Διαθεσιμότητα:	https://repository.publisso.de/resource/frl:6503281 https://doi.org/10.1186/s12984-024-01390-1 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11151484/
Rights:	https://creativecommons.org/licenses/by/4.0/
Αριθμός Καταχώρησης:	edsbas.DE72F75A
Βάση Δεδομένων:	BASE

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