Changes in foot and lower limb coupling due to systematic variations in step width

Pohl, Michael B.; Messenger, Neil; Buckley, John

doi:10.1016/j.clinbiomech.2005.09.005

Cited by 64 publications

(49 citation statements)

References 25 publications

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“…Correlation coefficients (r) greater than 0.7 (or less than −0.7) were considered to represent a strong coupling between two segmental rotations. Coefficients between 0.3 to 0.69 and −0.3 to −0.69 indicated a moderate coupling, and coefficients between −0.3 and 0.3 suggested zero or weak coupling (Pohl et al, 2006).…”

Section: Data and Statistical Analysismentioning

confidence: 99%

“…Based on previous publications (Pohl et al, 2006(Pohl et al, , 2007, it was decided to analyse the coupling between four intersegment rotations: 1) Sha-Cal Inv/Eve: Sha-Cal Add/Abd, 2) Sha-Cal Inv/Eve: Cal-Met DF/PF, 3) Sha-Cal Inv/Eve : Cal-Met (Inv/Eve), and 4) Sha-Cal Inv/Eve : Cal-Met Add/Abd. Correlation coefficients (r) greater than 0.7 (or less than −0.7) were considered to represent a strong coupling between two segmental rotations.…”

Section: Data and Statistical Analysismentioning

confidence: 99%

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Comparison of foot segmental mobility and coupling during gait between patients with diabetes mellitus with and without neuropathy and adults without diabetes

Deschamps

Matricali

Roosen

et al. 2013

Clinical Biomechanics

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Background: Reduction in foot mobility has been identified as a key factor of altered foot biomechanics in individuals with diabetes mellitus. This study aimed at comparing in vivo segmental foot kinematics and coupling in patients with diabetes with and without neuropathy to control adults. Methods: Foot mobility of 13 diabetic patients with neuropathy, 13 diabetic patients without neuropathy and 13 non-diabetic persons was measured using an integrated measurement set-up including a plantar pressure platform and 3D motion analysis system. In this age-, sex-and walking speed matched comparative study; differences in range of motion quantified with the Rizzoli multisegment foot model throughout different phases of the gait cycle were analysed using one-way repeated measures analysis of variance (ANOVA). Coupling was assessed with cross-correlation techniques. Findings: Both cohorts with diabetes showed significantly lower motion values as compared to the control group. Transverse and sagittal plane motion was predominantly affected with often lower range of motion values found in the group with neuropathy compared to the diabetes group without neuropathy. Most significant changes were observed during propulsion (both diabetic groups) and swing phase (predominantly diabetic neuropathic group). A trend of lower cross-correlations between segments was observed in the cohorts with diabetes. Interpretation: Our findings suggest an alteration in segmental kinematics and coupling during walking in diabetic patients with and without neuropathy. Future studies should integrate other biomechanical measurements as it is believed to provide additional insight into neural and mechanical deficits associated to the foot in diabetes.

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Section: Data and Statistical Analysismentioning

confidence: 99%

Section: Data and Statistical Analysismentioning

confidence: 99%

Comparison of foot segmental mobility and coupling during gait between patients with diabetes mellitus with and without neuropathy and adults without diabetes

Deschamps

Matricali

Roosen

et al. 2013

Clinical Biomechanics

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show abstract

“…For example, Pohl et al used the cross-correlation technique to examine the joint couplings between rearfoot and four adjacent joint variables during [ ( F i g . _ 1 ) T D $ F I G ] walking, and Chan et al showed that cross-correlation of upper extremity joint movements could be used for classification between normal and Parkinsonian individuals when reaching for a target [22,23]. In contrast with these past studies, in the present effort, we seek to characterize joint couplings throughout the entire locomotive apparatus using a single representative diagram.…”

Section: Introductionmentioning

confidence: 95%

“…For example, cross-correlation has been used to identify the synchronization of motor unit firings or to perform pattern recognition of EMG signals [14,18]. Cross-correlation between body movements has also been used [22,23]. For example, Pohl et al used the cross-correlation technique to examine the joint couplings between rearfoot and four adjacent joint variables during [ ( F i g .…”

Section: Introductionmentioning

confidence: 98%

Characterization of spatiotemporally complex gait patterns using cross-correlation signatures

2012

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“…In people with flexible flatfeet, the foot stays in a pronated position without turning to supination early enough during the late stance phase (Highlander et al, 2011), which is not efficient for completing the push-off during gait (Dennis et al, 1985;Donatelli et al, 1988;McCulloch et al, 1993). Considering the coupling movement between rearfoot inversion/eversion and tibial rotation (Nawoczenski et al, 1998;Pohl et al, 2006), an excessive or prolonged pronation of the foot is often linked to excessive or prolonged tibial rotation and larger valgus at the knee (Tiberio Z, 1987).…”

Section: Introductionmentioning

confidence: 99%

The effect of flexible flat-footedness on selected physical fitness factors in female students aged 14 to 17 years

Nakhostin-Roohi¹,

Hedayati

Aghayari

2013

JHSE

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Nakhostin-Roohi, B., Hedayati, S. & Aghayari, A. (2013). The Effect of Flexible Flat-footedness on Selected Physical Fitness Factors in Female Students Aged 14 to 17 years. J. Hum. Sport Exerc., 8(3), pp.788-796. The purpose of this study was to evaluate influence of flexible foot flatness on several physical fitness factors that are necessary for sport performance. Fifty students were randomly selected from each group (Flatfoot and Normal group). Static balance (One Leg Test), Dynamic balance (Modified Bass Test), speed (45 Meter Dash Test) and agility (T Test) were selected as physical fitness factors. There were significant differences in agility and static balance records (P<0.05) but not significant differences in speed and dynamic balance records between groups (P>0.05). It seems foot as a last part of a close kinematic chain has very important role in dynamic and static position and affects physical fitness factors. However, owing to presence of a plenty of controversies suggests more works in this domain.

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Changes in foot and lower limb coupling due to systematic variations in step width

Cited by 64 publications

References 25 publications

Comparison of foot segmental mobility and coupling during gait between patients with diabetes mellitus with and without neuropathy and adults without diabetes

Comparison of foot segmental mobility and coupling during gait between patients with diabetes mellitus with and without neuropathy and adults without diabetes

Characterization of spatiotemporally complex gait patterns using cross-correlation signatures

The effect of flexible flat-footedness on selected physical fitness factors in female students aged 14 to 17 years

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