Racial differences in gait mechanics

Hill, Cherice N.; Reed, Wornie L.; Schmitt, Daniel; Sands, Laura P.; Queen, Robin M.

doi:10.1016/j.jbiomech.2020.110070

Cited by 15 publications

(6 citation statements)

References 56 publications

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“…While racial and ethnic disparities exist in the incidence and outcomes of musculoskeletal disease 25 , race and ethnicity are rarely examined in biomechanical studies due to the typically small study samples. Similar to the conclusions of Hill et al who found racial differences in gait mechanics 26 , our findings suggest that we should not assume biomechanical similarity between different racial and ethnic groups.…”

Section: Introductionsupporting

confidence: 90%

Smartphone videos of the sit-to-stand test predict osteoarthritis and health outcomes in a nationwide study

et al. 2023

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Physical function decline due to aging or disease can be assessed with quantitative motion analysis, but this currently requires expensive laboratory equipment. We introduce a self-guided quantitative motion analysis of the widely used five-repetition sit-to-stand test using a smartphone. Across 35 US states, 405 participants recorded a video performing the test in their homes. We found that the quantitative movement parameters extracted from the smartphone videos were related to a diagnosis of osteoarthritis, physical and mental health, body mass index, age, and ethnicity and race. Our findings demonstrate that at-home movement analysis goes beyond established clinical metrics to provide objective and inexpensive digital outcome metrics for nationwide studies.

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Section: Introductionsupporting

confidence: 90%

Smartphone videos of the sit-to-stand test predict osteoarthritis and health outcomes in a nationwide study

et al. 2023

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“…While racial and ethnic disparities exist in the incidence and outcomes of musculoskeletal disease 26 , race and ethnicity are rarely examined in biomechanical studies due to the typically small study samples. Similar to the conclusions of Hill et al who found racial differences in gait mechanics 27 , our findings suggest that we should not assume biomechanical similarity between different racial and ethnic groups.…”

Section: Fig 1 | An Overview Of Our Web Application To Collect and An...supporting

confidence: 90%

“…Participants. We collected data from eleven healthy adults (N = 11, 7 female and 4 male; age = 27.7 ± 3.4 [23][24][25][26][27][28][29][30][31][32][33][34][35] Protocol. We measured ground truth kinematics with an eight-camera motion capture system (Motion Analysis Corp., Santa Rosa, CA, USA) that tracked the positions (100Hz) of 31 retroreflective markers placed bilaterally on the 2nd and 5th metatarsal heads, calcanei, medial and lateral malleoli, medial and lateral femoral epicondyles, anterior and posterior superior iliac spines, sternoclavicular joints, acromion processes, medial and lateral epicondyles of the humerus, radial and ulnar styloid processes, and the C7 vertebrae.…”

Section: Lab-based Motion Capture Validationmentioning

confidence: 99%

Smartphone videos of the sit-to-stand test predict osteoarthritis and health outcomes in a nationwide study

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Kidziński

Hicks

et al. 2022

Preprint

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Physical function decline due to aging or disease can be assessed with quantitative motion analysis, but this currently requires expensive laboratory equipment. We introduce a self-guided quantitative motion analysis of the widely used five-repetition sit-to-stand test using a smartphone. Across 35 US states, 405 participants recorded a video performing the test in their homes. We found novel relationships not detectable in a clinical implementation of this test. Trunk angle during the sit-to-stand transition was greater in individuals with osteoarthritis and differed across ethnicities. In individuals 50 years of age or older, those with greater trunk angular acceleration had a higher mental health score. We also detected known associations between longer time to complete the five repetitions and lower physical health scores, higher BMI, and older age. Our findings demonstrate that at-home movement analysis goes beyond established clinical metrics to provide objective and inexpensive digital outcome metrics for nationwide studies.

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“…The limitations of this study include the restricted population demographic of the participants, as they were all college students. This concentrates the sample size to a small, young age group range, as well as possible confounding race and gender disproportionalities that cannot be extrapolated to a wider, general population (Hill et al, 2020;Nigg et al, 1994). Aside from population restrictions, restriction on the experiment site also exists.…”

Section: Discussionmentioning

confidence: 99%

Distraction From Smartphones Changed Pedestrians’ Walking Behaviors in Open Areas

et al. 2023

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The prevalence of phone use has become a major concern for pedestrian safety. Using smartphones while walking reduces pedestrians’ ability to perceive the environment by increasing their cognitive, manual, and visual demands. The purpose of this study was to investigate the effect of common phone tasks (i.e., reading, tapping, gaming) on walking behaviors during outdoor walking. Nineteen young adults were instructed to complete four walking conditions (walking only, walking–reading, walking–tapping, and walking–gaming) along an open corridor. Results showed that all three phone tasks increased participants’ neck flexion (i.e., neck kyphosis) during walking. Meanwhile, the reading task showed a greater influence on the temporal aspect during the early phases of a gait cycle. The tapping task lowered the flexion angles of the middle and lower back (i.e., torso lordosis) and induced a longer terminal double support. And the gaming task resulted in a decrease in middle back flexion, a shorter stride length, and a longer terminal double support while walking. Findings from the study confirmed our hypothesis that phone tasks changed pedestrians’ physical responses to smartphone distraction while walking. To avoid potential risks caused by the observed posture and gait adaptations, safety precautions (e.g., roadside/electronic warning signals) might be imposed depending on the workload expected by different phone tasks.

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Racial differences in gait mechanics

Cited by 15 publications

References 56 publications

Smartphone videos of the sit-to-stand test predict osteoarthritis and health outcomes in a nationwide study

Smartphone videos of the sit-to-stand test predict osteoarthritis and health outcomes in a nationwide study

Smartphone videos of the sit-to-stand test predict osteoarthritis and health outcomes in a nationwide study

Distraction From Smartphones Changed Pedestrians’ Walking Behaviors in Open Areas

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