Volume 3 Supplement 1

Proceedings of the Society of Chiropodists and Podiatrists Annual Conference 2010

Open Access

Gait velocity exhibits more than 50% diurnal variation in Rheumatoid Arthritis: the divign study

  • Michael Backhouse1,
  • David Pickles2,
  • Hannah Mathieson1,
  • Lucy Edgson1,
  • Paul Emery1,
  • Howard Bird1,
  • Philip Helliwell1 and
  • Anthony Redmond1
Journal of Foot and Ankle Research20103(Suppl 1):P1

DOI: 10.1186/1757-1146-3-S1-P1

Published: 20 December 2010


Gait velocity (GV) is a frequently used outcome measure in studies of the lower limb in RA as it is reliable & correlates with disease impact. Despite recent knowledge of marked circadian variation in inflammatory cytokine levels & upper limb function, little is known about within-day variation of gait in RA.


Describe patterns of diurnal variation of gait velocity in patients with RA


Inpatients with RA walked at self-selected speed along an 8m GAITRite instrumented walkway (CIR Systems Inc, USA) 5 times during a single day; waking (0 hr), +1 hr, +3 hrs, +6, & +12 hrs. Walking aids were allowed as required.


Data were collected on 31 pts with RA (11 M, 20 F) median age of 67 (range 35 to 87), disease duration 10.5y (range 1 to 50), mean BMI 25.9 (std +/- 5.5 ). Median DAS28 5.39 (IQR 2.11) median HAQ 2.25 (IQR 0.79). The largest difference in GV between time points was the increase from 0hr to 1 hr (20.4% 95%CI 9.7 to 31.2) & 1hr to 3hrs (10.2% 95%CI 2.0 to 18.4). Between +3 & +6 was less (6% 95% CI -1.5 to 13.4) with a greater difference between 6 & 12 hrs (9.3% 95% CI 1.3 to 17.3) (Table 1).

Table 1







Mean GV (cm/sec)

37.6 (+/-24.9)

43.8(+/- 28.7)

45.5 (+/- 26.9)

48.1 (+/- 29.0)

53.0 (+/- 32.2)

Δ from 0hr (95%CI)


20.4% (9.7 to 31.2)

32.9% (16.6 to 49.3)

37.8% (21.6 to 54.1)

54.1% (25.3 to 82.9)


Patients with RA showed systematic diurnal variation in GV with a sharp increase in the first hour after waking and continued improvement throughout the day. Although the effect of morning stiffness is well recognised, this is the first time that its effect on gait has been quantified. These data have important implications for the interpretation of gait analysis and other measures of functional capacity: Repeat measures should be made at a similar time of day to exclude the effects of diurnal variation.

Authors’ Affiliations

University of Leeds
Leeds Teaching Hospitals NHS Trust


© Backhouse et al; licensee BioMed Central Ltd. 2010

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (<url>http://creativecommons.org/licenses/by/2.0</url>), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.