Gait speed and gait asymmetry in individuals with chronic idiopathic neck pain

Kırmızı, Müge; Şimşek, İbrahim Engin; Elvan, Ata; Akçalı, Ömer; Angin, Salih

doi:10.1016/j.msksp.2019.03.001

Cited by 25 publications

(42 citation statements)

References 26 publications

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“…It is not unlikely that participants who remained in the study for over 6 years are "over performers" who do not accurately represent this age group. A further limitation was the lack of specific information about pain, which may have a relevant influence on gait parameters (Kirmizi et al, 2019). Nonetheless, we believe that our large cohort can represent the older adults in its community.…”

Section: Discussionmentioning

confidence: 99%

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Walking parameters of older adults from a lower back inertial measurement unit, a 6-year longitudinal observational study

Elshehabi

Din

Hobert

et al. 2022

Front. Aging Neurosci.

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Gait changes during aging and differs between sexes. Inertial measurement units (IMUs) enable accurate quantitative evaluations of gait in ambulatory environments and in large populations. This study aims to provide IMU-based gait parameters’ values derived from a large longitudinal cohort study in older adults. We measured gait parameters, such as velocity, step length, time, variability, and asymmetry, from straight, self-paced 20-m walks in older adults (four visits: 715/1102/1017/957 participants) every second year over 6 years using an IMU at the lower back. Moreover, we calculated the associations of gait parameters with sex and age. Women showed lower gait speed, step length, step time, stride time, swing time, and stance time, compared to men. Longitudinal analyses suggest that these parameters are at least partly deteriorating within the assessment period of 2 years, especially in men and at an older age. Variability and asymmetry parameters show a less clear sex- and age-associated pattern. Altogether, our large longitudinal dataset provides the first sex-specific information on which parameters are particularly promising for the detection of age-related gait changes that can be extracted from an IMU on the lower back. This information may be helpful for future observational and treatment studies investigating sex and age-related effects on gait, as well as for studies investigating age-related diseases.

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Section: Discussionmentioning

confidence: 99%

“…A further limitation was the lack of specific information about pain, which may have a relevant influence on gait parameters (Kirmizi et al, 2019 ). Nonetheless, we believe that our large cohort can represent the older adults in its community.…”

Section: Discussionmentioning

confidence: 99%

Walking parameters of older adults from a lower back inertial measurement unit, a 6-year longitudinal observational study

Elshehabi

Din

Hobert

et al. 2022

Front. Aging Neurosci.

View full text Add to dashboard Cite

show abstract

“…Patients suffering from chronic pain display altered spatiotemporal gait parameters (Kirmizi et al., 2019) impacting on speed and quality of walking (Clarke & Eccleston, 2009). The proposed mechanisms include avoidance of perceived negative consequences due to the threat of pain (Asmundson et al, 1999) and distorted body schema (Moreira et al., 2017).…”

Section: Discussionmentioning

confidence: 99%

Improvement in pain interference and function by an allied health pain management program: Results of a randomized trial

Vandermost

Bagraith

Kennedy

et al. 2021

European Journal of Pain

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Background Chronic pain is a significant health problem worldwide and requires a biopsychosocial treatment approach. Access to traditional pain medicine specialist services is limited and innovative treatment models are required to support patients in tertiary care. The study evaluated the clinical effectiveness and safety of the Treatment Access Pathway (TAP), an allied health expanded scope model of care which included innovative group assessment and collaboration with patients to create individualized treatment plans. Methods One hundred and eighty‐one patients referred to a tertiary level chronic pain service were randomly allocated to either the TAP or the waitlist study groups. Primary (pain interference) and secondary outcome measures were collected at recruitment and again at 6 months. Per‐protocol analyses were utilized due to high participant attrition (46% across groups). Results The TAP group reported greater reductions in pain interference at 6 months than waitlist group (0.9, 95% CI: 0.2–1.6), with more than half of the TAP group (52%) reporting clinically significant improvement. In addition, statistically significant differences between the TAP and waitlist groups were observed for objective measurements of walking endurance (5.4 m, 95% CI: 1.7–9.1); and global impressions of change (1.4 unit decrease, 95% CI: 1–1.9). Nil adverse events were recorded. Conclusions The study suggests that an expanded scope allied health model of care prioritizing patient choice and group‐based interventions provides modest benefits for tertiary‐referral chronic pain patients. TAP warrants further investigation as a potentially viable alternative for tertiary healthcare where traditional pain services are unavailable or have long waiting lists. Significance The study tests effectiveness and safety of an expanded scope allied health‐led chronic pain program. Despite a high attrition rate, the study showed reduced pain interference and increased physical function in those who completed the protocol. The results are promising and support introduction of this model as an adjunct to existing traditional chronic pain models of care, with a particular focus on improving participant retention in the program. Additionally, the model of care can be used as a standalone chronic pain model of care where no other pain management resources are available. The study was registered on ANZCTR (Trial ID: ACTRN12617001284358).

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“…These variables broadly represented the spectrum of biomechanical variables collected during gait (e.g. segment angles [18]; spatio-temporal variables [19]; gait variability variables [20]), and in neck pain neuromuscular research [21]. For EMG variables, activities from bilateral muscles [11] to fit a functional logistic regression model.…”

Section: Discussionmentioning

confidence: 99%

Classifying neck pain status using scalar and functional biomechanical variables – development of a method using functional data boosting

et al. 2020

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This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. 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.

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Gait speed and gait asymmetry in individuals with chronic idiopathic neck pain

Cited by 25 publications

References 26 publications

Walking parameters of older adults from a lower back inertial measurement unit, a 6-year longitudinal observational study

Walking parameters of older adults from a lower back inertial measurement unit, a 6-year longitudinal observational study

Improvement in pain interference and function by an allied health pain management program: Results of a randomized trial

Classifying neck pain status using scalar and functional biomechanical variables – development of a method using functional data boosting

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