The influence of aging on the spatial and temporal variables of gait during usual and fast speeds in older adults aged 60 to 102 years

Magnani, Paola; Freire, Renato Campos; Zanellato, Nathalia Fernanda Grecco; Genovez, Maiara Baena; Alvarenga, Isabella Camargo; Abreu, Daniela Cristina Carvalho de

doi:10.1016/j.humov.2019.102540

Cited by 31 publications

(17 citation statements)

References 47 publications

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“…Another potential problem with evaluating associations may be the distribution of the data. However, this is unlikely to account for the lack of association seen in the current study, as the performance levels for walking, balance, and sit-to-stand tasks were highly variable across individuals and consistent with the spread seen in other studies [13, 27, 34]. We acknowledge that participants included in the correlational analysis were able to complete all tasks without assistance, and therefore may be considered “higher functioning” among individuals of similar age and health status.…”

Section: Discussion/conclusionsupporting

confidence: 87%

Standing, Transition, and Walking Ability in Older Adults: The Case for Independently Evaluating Different Domains of Mobility Function

et al. 2022

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Background: Independent mobility is a complex behavior that relies on the ability to walk, maintain stability, and transition between postures. However, guidelines for assessment that details what elements of mobility to evaluate and how they should be measured remain unclear. Methods: Performance on tests of standing, sit-to-stand, and walking were evaluated in a cohort of 135 complex, comorbid, and older adults (mean age 87 ± 5.5 years). Correlational analysis was conducted to examine the degree of association for measures within and between mobility domains on a subset of participants (n = 83) able to complete all tasks unaided. Participants were also grouped by the presence of risk markers for frailty (gait speed and grip strength) to determine if the level of overall impairment impacted performance scores and if among those with risk markers, the degree of association was greater. Results: Within-domain relationships for sit-to-stand and walking were modest (rho = 0.01–0.60). Associations either did not exist or relationships were weak for measures reflecting different domains (rho = −0.35 to 0.25, p > 0.05). As expected, gait speed differed between those with and without frailty risk markers (p < 0.001); however, balance and sit-to-stand measures did not (p ≥ 0.05). Conclusions: This study highlights the need to independently evaluate different mobility domains within an individual as a standard assessment approach. Modest within-domain relationships emphasize the need to account for multiple, unique control challenges within more complex domains. These findings have important implications for standardized mobility assessment and targeted rehabilitation strategies for older adults.

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Section: Discussion/conclusionsupporting

confidence: 87%

Standing, Transition, and Walking Ability in Older Adults: The Case for Independently Evaluating Different Domains of Mobility Function

et al. 2022

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“…Stride time variability is defined using the ratio of the SD of the stride times to the mean stride time within each walking trial. Longer stride time and greater stride time variability within a given walking condition (ie, single or dual task) have each been associated with aging [21], incidence of movement disorders (including PD) [22], the development of falls [3], and even the likelihood of future cognitive decline [23]. We also calculated the dual-task "costs" to stride time and stride time variability as the percent change of each metric from the single-to dual-task walking condition.…”

Section: Xsl • Fomentioning

confidence: 99%

Simple Smartphone-Based Assessment of Gait Characteristics in Parkinson Disease: Validation Study

Su¹,

Li²,

Jiang³

et al. 2021

JMIR Mhealth Uhealth

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Background Parkinson disease (PD) is a common movement disorder. Patients with PD have multiple gait impairments that result in an increased risk of falls and diminished quality of life. Therefore, gait measurement is important for the management of PD. Objective We previously developed a smartphone-based dual-task gait assessment that was validated in healthy adults. The aim of this study was to test the validity of this gait assessment in people with PD, and to examine the association between app-derived gait metrics and the clinical and functional characteristics of PD. Methods Fifty-two participants with clinically diagnosed PD completed assessments of walking, Movement Disorder Society Unified Parkinson Disease Rating Scale III (UPDRS III), Montreal Cognitive Assessment (MoCA), Hamilton Anxiety (HAM-A), and Hamilton Depression (HAM-D) rating scale tests. Participants followed multimedia instructions provided by the app to complete two 20-meter trials each of walking normally (single task) and walking while performing a serial subtraction dual task (dual task). Gait data were simultaneously collected with the app and gold-standard wearable motion sensors. Stride times and stride time variability were derived from the acceleration and angular velocity signal acquired from the internal motion sensor of the phone and from the wearable sensor system. Results High correlations were observed between the stride time and stride time variability derived from the app and from the gold-standard system (r=0.98-0.99, P<.001), revealing excellent validity of the app-based gait assessment in PD. Compared with those from the single-task condition, the stride time (F1,103=14.1, P<.001) and stride time variability (F1,103=6.8, P=.008) in the dual-task condition were significantly greater. Participants who walked with greater stride time variability exhibited a greater UPDRS III total score (single task: β=.39, P<.001; dual task: β=.37, P=.01), HAM-A (single-task: β=.49, P=.007; dual-task: β=.48, P=.009), and HAM-D (single task: β=.44, P=.01; dual task: β=.49, P=.009). Moreover, those with greater dual-task stride time variability (β=.48, P=.001) or dual-task cost of stride time variability (β=.44, P=.004) exhibited lower MoCA scores. Conclusions A smartphone-based gait assessment can be used to provide meaningful metrics of single- and dual-task gait that are associated with disease severity and functional outcomes in individuals with PD.

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“…(28) Estudo transversal realizado com idosos (≥ 65 anos) recrutados em centros de cuidados nas cidades de Úbeda e Jaén/Espanha apontou que a VM é um preditor do escore do MEEM. (29) A diminuição no desempenho da VM ocorre ao longo do processo de envelhecimento, (30) está associada a eventos adversos à saúde e tem sido ado-tado como um parâmetro de declínio cognitivo. Cognição e VM sofrem declínios com envelhecimento normal e patológico e as dificuldades cognitivas e anormalidades da marcha aumentam com a idade.…”

Section: Discussionunclassified

Associação entre cognição, velocidade da marcha e habilitação veicular em idosos

Binotto¹,

Lenardt²,

Carneiro³

et al. 2021

Acta Paulista De Enfermagem

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The influence of aging on the spatial and temporal variables of gait during usual and fast speeds in older adults aged 60 to 102 years

Cited by 31 publications

References 47 publications

Standing, Transition, and Walking Ability in Older Adults: The Case for Independently Evaluating Different Domains of Mobility Function

Standing, Transition, and Walking Ability in Older Adults: The Case for Independently Evaluating Different Domains of Mobility Function

Simple Smartphone-Based Assessment of Gait Characteristics in Parkinson Disease: Validation Study

Associação entre cognição, velocidade da marcha e habilitação veicular em idosos

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The influence of aging on the spatial and temporal variables of gait during usual and fast speeds in older adults aged 60 to 102 years

Cited by 31 publications

References 47 publications

Standing, Transition, and Walking Ability in Older Adults: The Case for Independently Evaluating Different Domains of Mobility Function

Standing, Transition, and Walking Ability in Older Adults: The Case for Independently Evaluating Different Domains of Mobility Function

Simple Smartphone-Based Assessment of Gait Characteristics in Parkinson Disease: Validation Study

Associação entre cognição, velocidade da marcha e habilitação veicular em idosos

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Product

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The influence of aging on the spatial and temporal variables of gait during usual and fast speeds in older adults aged 60 to 102 years