Footwear fashion is an instance of a socially formed attitude affecting somatic population health. High-heeled, particularly pointy-toed shoes are posed to structurally distort and overload feet leading to musculoskeletal sequelae. Here we compiled multilanguage website images presenting female footwear produced by the top manufacturers to assess the advertising effects on the prevailing height of heels worn by women. The method was based on the analysis of websites using the command "woman shoes" in scores of languages of the Internet Google browser. We then compared the results of the internet search with those of a live street surveillance of the footwear worn by 100 adult women in the downtown Warsaw metropolis in Poland. We found that stiletto heels with pointed shoe tips significantly predominated in images representing the countries belonging to the Western cultural sphere compared to less affluent world areas where low or flat heels prevailed. However, we noted a gradual departure from the fashion of high heels over the last decade, confirmed by live street surveillance, liable to reflect changes in the website presentations of top shoe manufacturers consistent with increasing awareness of potential harm by high heels. Yet the female aptitude for wearing more physiologic shoe models appears to exceed that resulting from marketing campaigns. Doing away with high-heeled pointy-toed shoes requires intensification of pro-health preventive measures in the field of public health.
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http://dx.doi.org/10.1016/j.heliyon.2023.e21297 | DOI Listing |
Front Sports Act Living
December 2024
Exercise and Functional Fitness Laboratory, Department of Physical Medicine and Rehabilitation, University of Florida, Gainesville, FL, United States.
Introduction: Foot strike pattern is often associated with running related injury and the focus of training and rehabilitation for athletes. The ability to modify foot strike pattern depends on awareness of foot strike pattern before being able to attempt change the pattern. Accurate foot strike pattern detection may help prevent running related injury (RRI) and facilitate gait modifications and shoe transitions.
View Article and Find Full Text PDFInt Wound J
December 2024
Departament Behavioral Sciences and Health, Nursing Area, Faculty of Medicine, University Miguel Hernández, Institute of Health and Biomedical Research of Alicante (ISABIAL), Alicante, Spain.
Friction blisters are common among outdoor enthusiasts, yet their causes remain uncertain. This study aimed to compare foot hydration in long-distance hikers with and without blisters, and to assess variability based on age and sex. An observational case-control study involving 86 hikers was conducted.
View Article and Find Full Text PDFJ R Soc Interface
December 2024
Adelaide Medical School, The University of Adelaide, Adelaide 5005, Australia.
Human walking gait is a personal story written by the body, a tool for understanding biological identity in healthcare and security. Gait analysis methods traditionally diverged between these domains but are now merging their complementary strengths to unlock new possibilities. Using large ground reaction force (GRF) datasets for gait recognition is a way to uncover subtle variations that define individual gait patterns.
View Article and Find Full Text PDFScand J Med Sci Sports
December 2024
Université Jean Monnet Saint-Etienne, Inter-University Laboratory of Human Movement Biology, Saint-Etienne, France.
Soft tissue vibrations (STV) can generate discomfort during running. Recent research has shown that footwear affects the amplitude of STV differently across runners but no studies have linked human characteristics and footwear construction yet. The purpose of this study was to investigate the runner specific STV responses to various midsole hardness and to identify functional groups, that is, groups of runners responding similarly to a given intervention.
View Article and Find Full Text PDFSci Data
November 2024
Departmental Section of Podiatry, Nursing Department, Universitat de València, 46010, Valencia, Spain.
This dataset presents human foot joints kinematics and kinetics data during walking, classified by static foot posture, filling a gap in existing lower limb databases that lack data on foot joints beyond the ankle or on static posture data, despite its link to foot and lower limb pathologies. Kinematics were recorded using a three-dimensional mocap system, and kinetics through a pressure platform, employing a multi-segment foot model including the ankle, midtarsal and first metatarsophalangeal joint. The dataset contains 350 recordings of right foot joint angles and moments and contact pressures from 70 healthy subjects with varying static posture (highly pronated, highly supinated and normal).
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