Sarah Stewart1, Trish Morpeth2, Nicola Dalbeth3, Alain C Vandal4, Matthew Carroll2, Lisa Davidtz2, Grant Mawston5, Simon Otter6, Keith Rome2. 1. Department of Podiatry, School of Clinical Sciences, Health & Rehabilitation Research Institute, Auckland University of Technology, Private Bag 92006, Auckland, 1142, New Zealand Zealand. Electronic address: sarah.stewart@aut.ac.nz. 2. Department of Podiatry, School of Clinical Sciences, Health & Rehabilitation Research Institute, Auckland University of Technology, Private Bag 92006, Auckland, 1142, New Zealand Zealand. 3. Faculty of Medical and Health Sciences, The University of Auckland, Private Bag 92019, Auckland, 1142, New Zealand; Department of Rheumatology, Auckland District Health Board, P.O. Box 92189, Auckland, New Zealand. 4. Department of Biostatistics & Epidemiology, School of Public Health & Psychosocial Studies, Faculty of Health and Environmental Sciences, Auckland University of Technology, Private Bag 92006, Auckland, 1142, New Zealand; Health Intelligence and Informatics, Ko Awatea, Counties Manukau Health, Private Bag 93311, Auckland, 1640, New Zealand. 5. Department of Physiotherapy, School of Clinical Sciences, Health & Rehabilitation Research Institute, Auckland University of Technology, Private Bag 92006, Auckland, 1142, New Zealand. 6. Department of Podiatry, School of Clinical Sciences, Health & Rehabilitation Research Institute, Auckland University of Technology, Private Bag 92006, Auckland, 1142, New Zealand Zealand; School of Health Science, University of Brighton, 49 Darley Rd, Eastbourne, BN20 7UR, UK.
Abstract
OBJECTIVES: To examine gait parameters in people with gout during different walking speeds while adjusting for body mass index (BMI) and foot-pain, and to determine the relationship between gait parameters and foot-pain and disability. 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). CONCLUSION: Gait patterns exhibited by people with gout are different from controls during both self-selected 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.
OBJECTIVES: To examine gait parameters in people with gout during different walking speeds while adjusting for body mass index (BMI) and foot-pain, and to determine the relationship between gait parameters and foot-pain and disability. METHOD: Gait parameters were measured using the GAITRite™ walkway in 20 goutparticipants 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, goutparticipants 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, goutparticipants 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). CONCLUSION: Gait patterns exhibited by people with gout are different from controls during both self-selected 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.
Authors: Sarah Stewart; Nicola Dalbeth; Alain C Vandal; Bruce Allen; Rhian Miranda; Keith Rome Journal: J Foot Ankle Res Date: 2017-05-22 Impact factor: 2.303
Authors: Sarah Stewart; Nicola Dalbeth; Simon Otter; Peter Gow; Sunil Kumar; Keith Rome Journal: J Foot Ankle Res Date: 2017-06-19 Impact factor: 2.303
Authors: Brina Xing Ying Erh; Hong-Gu He; Kate Frances Carter; Peter P Cheung; Daphne S Tan; Wenru Wang; Keith Rome Journal: J Foot Ankle Res Date: 2019-01-23 Impact factor: 2.303