Characteristics of the gait initiation phase in older adults with diabetic peripheral neuropathy compared to control older adults

Kang, Gu Eon; Zhou, He; Varghese, Varsha; Najafi, Bijan

doi:10.1016/j.clinbiomech.2019.12.019

Cited by 23 publications

(19 citation statements)

References 42 publications

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“…The published studies use an average number of three sensors in their measurement protocols, but it is possible to use only one sensor (on the back) but undoubtedly the most used configuration is the one that uses measurements with five sensors [15,[20][21][22][23]. When a single sensor is used, it is most often placed at the level of the L5 lumbar vertebra.…”

Section: Sensor Number and Placementmentioning

confidence: 99%

Wearable Sensor for Assessing Gait and Postural Alterations in Patients with Diabetes: A Scoping Review

et al. 2021

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Background and Objectives: Diabetes mellitus is considered a serious public health problem due to its high prevalence and related complications, including gait and posture impairments due to neuropathy and vascular alterations and the subsequent increased risk of falls. The gait of patients with diabetes is characterized by alterations of the main spatiotemporal gait parameters such as gait velocity, cadence, stride time and length, which are also known to worsen with disease course. Wearable sensor systems can be used for gait analysis by providing spatiotemporal parameters and postural control (evaluated from the perspective of body sway), useful for investigating the disease progression. Thanks to their small size and low cost of their components, inertial measurement units (IMUs) are easy to wear and are cheap tools for movement analysis. Materials and Methods: The aim of this study is to review articles published in the last 21 years (from 2000 to 2021) concerning the application of wearable sensors to assess spatiotemporal parameters of gait and body postural alterations in patients with diabetes mellitus. Relevant articles were searched in the Medline database using PubMed, Ovid and Cochrane libraries. Results: One hundred and four articles were initially identified while searching the scientific literature on this topic. Thirteen were selected and analysed in this review. Wearable motion sensors are useful, noninvasive, low-cost, and objective tools for performing gait and posture analysis in diabetic patients. The IMUs can be worn at the lumber levels, tibias or feet, and different spatiotemporal parameters of movement and static posture can be assessed. Conclusions: Future research should focus on standardizing the measurement setup and selecting the most informative spatiotemporal parameters for gait and posture analysis.

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Section: Sensor Number and Placementmentioning

confidence: 99%

Wearable Sensor for Assessing Gait and Postural Alterations in Patients with Diabetes: A Scoping Review

et al. 2021

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“…Coefficient of variation (CV) of gait speed and stride length and time (%) was calculated in eight studies [ 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 ]. Gait speed initiation, number of steps, and total distance required to reach steady-state walking were studied in four papers [ 34 , 35 , 37 , 38 ]. Duration (%) and number of walking bouts were extracted in one study [ 18 ].…”

Section: Resultsmentioning

confidence: 99%

“…This is also corroborated by previous literature showing a significant decrease in quality of spatiotemporal parameters, especially for DPN patients [ 63 ]. Lastly, the number of steps and distance to reach steady-state gait in the analysis of gait initiation were found to be an important component to investigate risk of falls in people with PNP [ 35 , 37 , 38 ]: It has been shown that PNP patients take more and slower steps and a longer distance to reach steady-state gait compared to controls. This is due to a decreased somatosensory function, which directly affects performance in the gait initiation phase, increasing unbalance postural transitions and, consequently, the risk of falls.…”

Section: Discussionmentioning

confidence: 99%

Wearable Health Technology to Quantify the Functional Impact of Peripheral Neuropathy on Mobility in Parkinson’s Disease: A Systematic Review

Warmerdam

Vila‐Chã

Maetzler

et al. 2020

Sensors

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The occurrence of peripheral neuropathy (PNP) is often observed in Parkinson’s disease (PD) patients with a prevalence up to 55%, leading to more prominent functional deficits. Motor assessment with mobile health technologies allows high sensitivity and accuracy and is widely adopted in PD, but scarcely used for PNP assessments. This review provides a comprehensive overview of the methodologies and the most relevant features to investigate PNP and PD motor deficits with wearables. Because of the lack of studies investigating motor impairments in this specific subset of PNP-PD patients, Pubmed, Scopus, and Web of Science electronic databases were used to summarize the state of the art on PNP motor assessment with wearable technology and compare it with the existing evidence on PD. A total of 24 papers on PNP and 13 on PD were selected for data extraction: The main characteristics were described, highlighting major findings, clinical applications, and the most relevant features. The information from both groups (PNP and PD) was merged for defining future directions for the assessment of PNP-PD patients with wearable technology. We established suggestions on the assessment protocol aiming at accurate patient monitoring, targeting personalized treatments and strategies to prevent falls and to investigate PD and PNP motor characteristics.

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“…For instance, the findings from this study could be embedded in eHealth technologies like wearables and mobile health applications, which would allow one to track everyday physical activities and subtle changes regarding concerns about falling over time. This in turn could assist the clinical care team to manage concerns about falling in a timely manner; to identify their reasons (e.g., plantar numbness caused by PN, poor balance because of side effects from medications, and cognitive decline) [36][37][38]; and, eventually, to reduce their consequences such as reduction in physical activities, frailty, and falls [39,40].…”

Section: Discussionmentioning

confidence: 99%

Sensor-Based Daily Physical Activity: Towards Prediction of the Level of Concern about Falling in Peripheral Neuropathy

Kang

Najafi

2020

Sensors

Self Cite

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Concern about falling is prevalent and increases the risk of falling in people with peripheral neuropathy (PN). However, the assessment of concern about falling relies on self-report surveys, and thus continuous monitoring has not been possible. We investigated the influence of concern about falling on sensor-based daily physical activity among people with PN. Forty-nine people with PN and various levels of concern about falling participated in this study. Physical activity outcomes were measured over a period of 48 hours using a validated chest-worn sensor. The level of concern about falling was assessed using the falls efficacy scale-international (FES-I). The low concern group spent approximately 80 min more in walking and approximately 100 min less in sitting/lying compared to the high concern group. In addition, the low concern group had approximately 50% more walking bouts and step counts compared to the high concern group. Across all participants, the duration of walking bouts and total step counts was significantly correlated with FES-I scores. The duration of walking bouts and total step counts may serve as eHealth targets and strategies for fall risk assessment among people with PN.

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Characteristics of the gait initiation phase in older adults with diabetic peripheral neuropathy compared to control older adults

Cited by 23 publications

References 42 publications

Wearable Sensor for Assessing Gait and Postural Alterations in Patients with Diabetes: A Scoping Review

Wearable Sensor for Assessing Gait and Postural Alterations in Patients with Diabetes: A Scoping Review

Wearable Health Technology to Quantify the Functional Impact of Peripheral Neuropathy on Mobility in Parkinson’s Disease: A Systematic Review

Sensor-Based Daily Physical Activity: Towards Prediction of the Level of Concern about Falling in Peripheral Neuropathy

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