Changes in Gait over a 30-min Walking Session in Obese Females

Singh, Bhupinder; Vo, Huy D.; Sl, Francis; Kf, Janz; Yack, H. John

doi:10.1249/mss.0000000000001114

Cited by 6 publications

(8 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Again, according to the pathomechanical model, this also does not increase risk of PFP in young women (8). A similar finding of a significant increase in peak knee extensor moment after 30 min of walking was reported in a previous study of women in midlife (13). However, no change in peak knee extensor moment was reported in a different study of active young adults and active and sedentary midlife adults (12).…”

Section: Discussionsupporting

confidence: 90%

Changes in Walking Biomechanics after a 30-Min Exercise Bout in Sedentary Compared with Active Young Women

Hawkins¹,

Williams²,

Milner³

2022

Medicine &Amp; Science in Sports &Amp; Exercise

View full text Add to dashboard Cite

IntroductionPatellofemoral pain (PFP) is a common overuse injury associated with physical activity, including walking. The risk for PFP may increase if walking biomechanics change during a bout of walking. Because walking for exercise is often recommended to previously sedentary adults, this would be a cause for concern. The purpose of this study was to determine any differences in walking biomechanics associated with PFP between sedentary and active young women initially and after 30 min of walking for exercise.MethodsFifteen sedentary and 15 active young women walked overground for five trials of three-dimensional gait analysis before and after a 30-min treadmill walk. Peak knee flexion angle and extensor moment were compared between groups and before and after the 30-min walk.ResultsComparing groups at baseline, peak knee flexion angle and peak knee extensor moment were not statistically significantly different between groups. After the 30-min walk, peak knee flexion angle and extensor moment increased slightly in both groups.ConclusionsSmaller, not larger, peak knee flexion angle and extensor moment during walking have been associated with increased risk of PFP. Therefore, sedentary and active young women can walk for 30 min without further detrimental changes to walking biomechanics that may increase their risk of PFP.

show abstract

Section: Discussionsupporting

confidence: 90%

Changes in Walking Biomechanics after a 30-Min Exercise Bout in Sedentary Compared with Active Young Women

Hawkins¹,

Williams²,

Milner³

2022

Medicine &Amp; Science in Sports &Amp; Exercise

View full text Add to dashboard Cite

show abstract

“…Gait analysis helps in investigating different musculoskeletal functions and gait parameters. Therefore, gait analysis supports numerous applications in healthcare [4]- [8], security [9]- [11], sports and fitness domains [12], [13]. For example, Hu et al [4] provide a vision-based solution for the Freezing of Gait (FoG) detection.…”

Section: Introductionmentioning

confidence: 99%

Latest Research Trends in Gait Analysis Using Wearable Sensors and Machine Learning: A Systematic Review

et al. 2020

View full text Add to dashboard Cite

Gait is the locomotion attained through the movement of limbs and gait analysis examines the patterns (normal/abnormal) depending on the gait cycle. It contributes to the development of various applications in the medical, security, sports, and fitness domains to improve the overall outcome. Among many available technologies, two emerging technologies that play a central role in modern day gait analysis are: A) wearable sensors which provide a convenient, efficient, and inexpensive way to collect data and B) Machine Learning Methods (MLMs) which enable high accuracy gait feature extraction for analysis. Given their prominent roles, this paper presents a review of the latest trends in gait analysis using wearable sensors and Machine Learning (ML). It explores the recent papers along with the publication details and key parameters such as sampling rates, MLMs, wearable sensors, number of sensors, and their locations. Furthermore, the paper provides recommendations for selecting a MLM, wearable sensor and its location for a specific application. Finally, it suggests some future directions for gait analysis and its applications.

show abstract

“…Considering the population involved, five of forty-three papers included only one group of obese subjects without a control group [ 33 , 46 , 48 , 59 , 77 ]; six studies included three groups, represented by obese, over-weight, and normal-weight subjects [ 21 , 38 , 58 , 72 , 74 , 79 ]. The remaining thirty-two papers involved two groups, i.e., obese and normal-weight subjects.…”

Section: Resultsmentioning

confidence: 99%

“…More than half of the papers focused on gait tasks: (i) gait overground [ 30 , 31 , 33 , 34 , 35 , 40 , 47 , 48 , 49 , 53 , 55 , 58 , 59 , 62 , 67 , 70 , 71 , 73 , 74 ]; (ii) gait on the treadmill [ 28 , 41 , 44 , 46 , 57 , 64 ]; and (iii) the comparison between the overground and treadmill [ 29 , 37 , 78 ]. Moreover, perturbed gait [ 61 ], inclined walking [ 42 , 68 , 77 ], and gaits with different loads in the dominant hand [ 43 ] were investigated.…”

Section: Resultsmentioning

confidence: 99%

Technological Solutions for Human Movement Analysis in Obese Subjects: A Systematic Review

Monfrini

Rossetto

Scalona

et al. 2023

Sensors

View full text Add to dashboard Cite

Obesity has a critical impact on musculoskeletal systems, and excessive weight directly affects the ability of subjects to realize movements. It is important to monitor the activities of obese subjects, their functional limitations, and the overall risks related to specific motor tasks. From this perspective, this systematic review identified and summarized the main technologies specifically used to acquire and quantify movements in scientific studies involving obese subjects. The search for articles was carried out on electronic databases, i.e., PubMed, Scopus, and Web of Science. We included observational studies performed on adult obese subjects whenever reporting quantitative information concerning their movement. The articles must have been written in English, published after 2010, and concerned subjects who were primarily diagnosed with obesity, thus excluding confounding diseases. Marker-based optoelectronic stereophotogrammetric systems resulted to be the most adopted solution for movement analysis focused on obesity; indeed, wearable technologies based on magneto-inertial measurement units (MIMUs) were recently adopted for analyzing obese subjects. Further, these systems are usually integrated with force platforms, so as to have information about the ground reaction forces. However, few studies specifically reported the reliability and limitations of these approaches due to soft tissue artifacts and crosstalk, which turned out to be the most relevant problems to deal with in this context. In this perspective, in spite of their inherent limitations, medical imaging techniques—such as Magnetic Resonance Imaging (MRI) and biplane radiography—should be used to improve the accuracy of biomechanical evaluations in obese people, and to systematically validate less-invasive approaches.

show abstract

Changes in Gait over a 30-min Walking Session in Obese Females

Cited by 6 publications

References 30 publications

Changes in Walking Biomechanics after a 30-Min Exercise Bout in Sedentary Compared with Active Young Women

Changes in Walking Biomechanics after a 30-Min Exercise Bout in Sedentary Compared with Active Young Women

Latest Research Trends in Gait Analysis Using Wearable Sensors and Machine Learning: A Systematic Review

Technological Solutions for Human Movement Analysis in Obese Subjects: A Systematic Review

Contact Info

Product

Resources

About