Gait Analysis of the Lower Limb in Patients with Rheumatoid Arthritis: A Systematic Review

Baan, H.; Dubbeldam, Rosemary; Nene, A.V.; Laar, M.A.F.J. van de

doi:10.1016/j.semarthrit.2011.11.009

Cited by 42 publications

(30 citation statements)

References 72 publications

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“…Furthermore, assessment of walking ability is important in developing an understanding of the onset and progression of physical disability in chronic disease populations, including gout [8], rheumatoid arthritis [14,15], psoriatic arthritis [16] and ankylosing spondylitis [17]. The aim of this study was to examine spatiotemporal parameters of A c c e p t e d M a n u s c r i p t A c c e p t e d M a n u s c r i p t…”

Section: Introductionmentioning

confidence: 99%

Foot-related pain and disability and spatiotemporal parameters of gait during self-selected and fast walking speeds in people with gout: A two-arm cross sectional study

et al. 2016

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Please cite this article as: Stewart S, Morpeth T, Dalbeth N, Vandal AC, Carroll M, Davidtz L, Mawston G, Otter S, Rome K, Foot-related pain and disability and spatiotemporal parameters of gait during self-selected and fast walking speeds in people with gout: a two-arm cross sectional study, Gait and Posture (2015), http://dx.doi.org/10.1016/j.gaitpost. 2015.11.004 This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. Method Gait parameters were measured using the GAITRite™ walkway in 20 gout participants and 20 age-and sex-matched controls during self-selected and fast walking speeds. Foot-pain and disability was measured using the Manchester Foot Pain and Disability Index (MFPDI) which contains four domains relating to function, physical appearance, pain and work/leisure.Results At the self-selected speed, gout participants demonstrated increased step time (p=0.017), and stance time (p=0.012), and reduced velocity (p=0.031) and cadence (p=0.013). At the fast speed, gout participants demonstrated increased step time (p=0.007), swing time (p=0.005) and stance time (p=0.019) and reduced velocity (p=0.036) and cadence (p=0.009). For participants with gout, step length was correlated with total MFPDI (r=-0.62, p=0.008), function (r=-0.65, p=0.005) and physical appearance (r=-0.50, p=0.041); stride length was correlated with total MFPDI (r=-0.62, p=0.008), function (r=-0.65, p=0.005) and physical appearance (r=-0.50, p=0.041); and velocity was correlated with total MFPDI (r=-0.60, p=0.011), function (r=-0.63, p=0.007) and work/leisure (r=-0.53, p=0.030). ConclusionGait patterns exhibited by people with gout are different from controls during both selfselected and fast walking speeds, even after adjusting for BMI and foot-pain. Additionally, gait parameters were strongly correlated with patient-reported functional limitation, physical appearance and work/leisure difficulties, while pain did not significantly influence gait in people with gout.

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Section: Introductionmentioning

confidence: 99%

Foot-related pain and disability and spatiotemporal parameters of gait during self-selected and fast walking speeds in people with gout: A two-arm cross sectional study

et al. 2016

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“…Between-day reliability ranged from fair to good to excellent for kinematic variables and all ICCs were excellent; the standard error of the mean (SEM) ranged from 0.60° to 1.99°. The authors concluded (Baan et al 2012) demonstrated changes in gait such as a slower walk, longer double-support time, and avoidance of extreme positions. These changes were in relation to the frequently found static features in RA, for instance hallux valgus, pes planovalgus and hindfoot abnormalities (Figure 2-3).…”

Section: Kinematicsmentioning

confidence: 99%

“…Many of these strategies overlap and can be implemented in parallel. These include medical that multisegmented foot kinematics could be reliably measured in RA patients with pes planovalgus (Baan et al 2012). …”

Section: Management Strategiesmentioning

confidence: 99%

Rheumatic Diseases

Williams¹,

Corkill²

2015

Management of Chronic Conditions in the Foot and Lower Leg

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“…The work in [20] presents a review of the application of insole plantar pressure sensor systems in recognition and analysis of the hemiplegic gait in stroke patients. The authors in [21] capture insole pressure sensors as a valid technology for assessing gait in rheumatoid arthritis patients. One particular application of insole pressure sensors in the medical and rehabilitation domains is the detection of compensatory walking strategies employed by those with knee pain under different conditions causing the pain.…”

Section: Related Workmentioning

confidence: 99%

Identification of Walking Strategies of People With Osteoarthritis of the Knee Using Insole Pressure Sensors

et al. 2017

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Gait Analysis of the Lower Limb in Patients with Rheumatoid Arthritis: A Systematic Review

Cited by 42 publications

References 72 publications

Foot-related pain and disability and spatiotemporal parameters of gait during self-selected and fast walking speeds in people with gout: A two-arm cross sectional study

Foot-related pain and disability and spatiotemporal parameters of gait during self-selected and fast walking speeds in people with gout: A two-arm cross sectional study

Rheumatic Diseases

Identification of Walking Strategies of People With Osteoarthritis of the Knee Using Insole Pressure Sensors

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