Interactions of sex and aging on spatiotemporal metrics in non-pathological gait: a descriptive meta-analysis

Frimenko, Rebecca E.; Goodyear, Chuck; Bruening, Dustin A.

doi:10.1016/j.physio.2015.01.003

Cited by 77 publications

(66 citation statements)

References 52 publications

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“…Participant leg length was measured from the top of the greater trochanter to the ground on both legs. Leg length normalisation was used to correct parameters influenced by size and presumably by gender [11]. Participants were instructed to walk along the walkway, starting two meters before and stopping two meters after the walkway, marked as starting point and end point respectively, in five different walking conditions.…”

Section: Methodsmentioning

confidence: 99%

“…The body height or leg length, influencing the speed and step length of an individual was not taken into account. Frimenko et al suggested that size plays a role in gait speed differences between genders, particularly the larger step length in men and higher cadence in women [11]. Further, using dynamic parameters for the detection of cognitive impairment was never considered.…”

Section: Introductionmentioning

confidence: 99%

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Gait characteristics under different walking conditions: Association with the presence of cognitive impairment in community-dwelling older people

et al. 2017

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BackgroundGait characteristics measured at usual pace may allow profiling in patients with cognitive problems. The influence of age, gender, leg length, modified speed or dual tasking is unclear.MethodsCross-sectional analysis was performed on a data registry containing demographic, physical and spatial-temporal gait parameters recorded in five walking conditions with a GAITRite® electronic carpet in community-dwelling older persons with memory complaints. Four cognitive stages were studied: cognitively healthy individuals, mild cognitive impaired patients, mild dementia patients and advanced dementia patients.ResultsThe association between spatial-temporal gait characteristics and cognitive stages was the most prominent: in the entire study population using gait speed, steps per meter (translation for mean step length), swing time variability, normalised gait speed (corrected for leg length) and normalised steps per meter at all five walking conditions; in the 50-to-70 years old participants applying step width at fast pace and steps per meter at usual pace; in the 70-to-80 years old persons using gait speed and normalised gait speed at usual pace, fast pace, animal walk and counting walk or steps per meter and normalised steps per meter at all five walking conditions; in over-80 years old participants using gait speed, normalised gait speed, steps per meter and normalised steps per meter at fast pace and animal dual-task walking. Multivariable logistic regression analysis adjusted for gender predicted in two compiled models the presence of dementia or cognitive impairment with acceptable accuracy in persons with memory complaints.ConclusionGait parameters in multiple walking conditions adjusted for age, gender and leg length showed a significant association with cognitive impairment. This study suggested that multifactorial gait analysis could be more informative than using gait analysis with only one test or one variable. Using this type of gait analysis in clinical practice could facilitate screening for cognitive impairment.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Gait characteristics under different walking conditions: Association with the presence of cognitive impairment in community-dwelling older people

et al. 2017

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“…Gait speed might mediate the association between age and temporal variability measures. Reference [21] suggested that gait speed differences between men and women might be for size rather than sex. They identified a possible increase in many gait metrics between 20 to 40 years of age, before decreasing around the fifth decade of life.…”

Section: Influence Of Age and Gender On Human Gait Patternmentioning

confidence: 99%

Human Gait with Reference to Age, Gender and Impact of Load: A Review

Thakurta¹,

Iqbal²,

Bhasin³

et al. 2016

AAP

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This review paper summarizes the available literature regarding the analysis of human gait of with reference to age and its effect on the performance. The ability to walk upright on two legs (bipedalism) is the root of what it means to be human and each person displays personal peculiarities in their walking pattern. According to the studies, muscle activity changes with the deviation of gait pattern in different condition and even for different individuals. It has been found that a vivid knowledge about the kinetics and kinematics of human gait improves the understanding of proper mechanisms of walking and has found to be helpful. Studies also suggest that the determinants of gait from decades are never closely being observed which is needed and can be productive. Gait is altered by different factors especially age, gender, working conditions etc. Walking pattern or more precisely the parameters of gait are affected by different load carriage conditions. Aging has a great impact on gait variability. With increase in age gait parameters like step length becomes smaller and step width also becomes wider, even pelvic mobility also decreases which in turn slower the walking speed. A significant difference of gait initiation speed, hip and knee angles has been found between males and females. A few studies have shown a wide range of differences of human walking pattern between different populations. It varies from country to country, even region to region in a particular country due to differences found in the body composition which is again affected by various important factors like climate, food habit, landscapes etc.

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“…Las mujeres en comparación con los hombres presentan una velocidad de la marcha menor (Chiu, & Wang, 2007;Cho, Park, & Kwon, 2004;Crosbie, Vachalathiti, & Smith, 1997;Kerrigan, Todd, & Della Croce, 1998), una longitud de paso o de zancada menor Cho et al, 2004;Frimenko et al, 2015;Kerrigan et al, 1998) y una cadencia mayor Crosbie et al, 1997;Frimenko et al, 2015;Kirtley, 2006). En los parámetros cinemáticos de cadera, rodilla, tobillo, pelvis y centro de gravedad, también se muestran características propias de cada sexo.…”

Section: Otros Factores Que Modifican El Patrón De La Marchaunclassified

“…Por ello las mujeres, con estaturas y longitudes de pierna menores, presentan valores de velocidad, longitud de paso y longitud de zancada normalizadas proporcionalmente mayores que los hombres. Dichos resultados de velocidad normalizada son contrarios a los descritos por Cho et al (2004), Crosbie et al (1997) y Kerrigan et al (1998), y estarían relacionados con una mayor longitud de paso y longitud de zancada normalizadas (en función de la estatura y en función de la longitud de pierna), como describen Frimenko et al (2015), y una mayor cadencia de paso. Aunque otros autores han atribuido las mayores longitudes de paso y mayores cadencias a los hombres (Chiu et al, 2013;Cho et al, 2004;Kerrigan et al, 1998), los estudios realizados por Bruening et al (2015), Crosbie et al (1997) y Frimenko et al (2015 presentan los mismos valores de cadencia para las mujeres que en el presente estudio.…”

Section: Análisis De Las Diferencias En La Marcha Normal En Función Dunclassified

Análisis de la marcha: evaluación de un exoesqueleto aplicado a la marcha asistida

Jiménez¹

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Interactions of sex and aging on spatiotemporal metrics in non-pathological gait: a descriptive meta-analysis

Cited by 77 publications

References 52 publications

Gait characteristics under different walking conditions: Association with the presence of cognitive impairment in community-dwelling older people

Gait characteristics under different walking conditions: Association with the presence of cognitive impairment in community-dwelling older people

Human Gait with Reference to Age, Gender and Impact of Load: A Review

Análisis de la marcha: evaluación de un exoesqueleto aplicado a la marcha asistida

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