scholarly journals Indirect effects of the lockdown for the COVID-19 pandemic: Comparative study of fibular palsies from prolonged sitting posture

2021 ◽  
pp. 100385
Author(s):  
F. Castellani ◽  
M. Cacciavillani ◽  
A. Salvalaggio ◽  
M. Campagnolo ◽  
C. Briani
2020 ◽  
Author(s):  
Arpita Kappattanavar ◽  
Nico Steckhan ◽  
Jan Philipp Sachs ◽  
Bert Arnrich ◽  
Erwin Böttinger

BACKGROUND Background: Prolonged sitting postures have been reported to increase the probability of developing low back pain. Moreover, the majority of employees in the industrial world work ninety percent of their time in a seated position. OBJECTIVE This review focuses on the technologies and algorithms that have been used to classify seating postures on a chair with respect to spine and limb movements. METHODS Three electronic literature databases have been surveyed to identify the studies classifying sitting posture in adults. Fourteen articles have been finally shortlisted. These articles were categorized into low, medium, and high quality. Most of the articles were categorized as medium quality (12/14). RESULTS The majority of the studies used pressure sensors (13/14) to classify sitting postures. Neural Networks were the most frequently (6/14) used approaches for classifying sitting postures. CONCLUSIONS Based on the current study the classification of sitting posture is still in the nascent stage and hence, we would suggest personalized sitting posture analysis. Furthermore, the review emphasizes identifying at least five basic postures along with different limb and spine movements in a free-living environment. It is essential to annotate the data set with ground truths for subsequent training of the classifier to solve the sitting posture classification problem.


Author(s):  
Tae-sung In ◽  
Jin-hwa Jung ◽  
Kyoung-sim Jung ◽  
Hwi-young Cho

This study aimed to assess the association between smartphone use in the sitting posture and changes in thoracolumbar kyphosis, lumbar lordosis, and pelvic asymmetry in adolescents with low back pain (LBP). Twenty-five adolescents with LBP and 25 healthy adolescents participated in this study. They were instructed to sit on a height-adjustable chair with their hips and knees bent at 90° for 30 min in their usual sitting postures. Thoracolumbar kyphosis, lumbar lordosis, and pelvic asymmetry were measured using a three-dimensional motion capture system. Thoracolumbar kyphosis and lumbar lordosis increased after 30 min of sitting compared to the baseline. In both groups, thoracic kyphosis and lumbar lordosis angle increased with increasing sitting time. Compared to healthy adolescents, adolescents with LBP presented greater thoracolumbar kyphosis and lumbar lordosis after prolonged sitting. Pelvic asymmetry showed no significant difference between the sitting time and groups. Using a smartphone during prolonged sitting may lead to a slumped posture; these associations were more pronounced in adolescents with LBP.


2020 ◽  
Vol 71 (1) ◽  
pp. 88-99
Author(s):  
Aldina Alibegović ◽  
Amra Mačak Hadžiomerović ◽  
Adisa Pašalić ◽  
Danijela Domljan

Physical and psychological disorders in school-age children, as a consequence of prolonged sitting in class, denote one of the alarming issues of the today’s civilization. Scientific and professional literature pays great attention to the causes and phenomena of postural disorders caused by prolonged sitting, such as musculoskeletal disorders and back pain (MSD/BP). This phenomenon in children is increasingly correlated with school furniture design. School furniture, especially the chair and desk, are one of the most important factors to achieve the right body posture of pupils during school education. Despite this, not much attention is paid to the ergonomic requirements in furniture design, which are a prerequisite for good health, motivation improvement and learning of students. The objective of this paper is to show the impact of unmatched school furniture on the development of health problems and poor pupils’ posture through a review of scientific literature and previous studies concerning the issue. The results include a comparison of ten papers published in the period from 2004 to 2017 in Finland, Greece, Croatia, Slovenia, Nigeria, Brazil, Iran, Belgium, United Kingdom and India. Various databases have been used, including Pub Med, Google Scholar, Medline, Hrčak, Dabar, Science Direct and Science Citation Index. By reviewing the previous research of the selected authors dealing with sitting posture in school, an insight was gained into the effect of inadequate body postures on pupils’ health that could be used as guidance for new school furniture design.


Work ◽  
2021 ◽  
Vol 68 (s1) ◽  
pp. S87-S100 ◽  
Author(s):  
Iolanda Fiorillo ◽  
Federico Jacopo Anzisi ◽  
Alfonso Carbone ◽  
Rosaria Califano ◽  
Alessandro Naddeo

BACKGROUND: According to ergonomic researches regarding a good sitting posture, it is essential to ensure a natural back-curve in order to prevent musculoskeletal disorders. A brief observation among the Scientific Technology Library inside the University of Salerno showed that students used to complain about neck and lumbar pain, especially after a study day. OBJECTIVE: On the light of this background, a sitting posture comfort analysis had been performed on chairs inside the library to check the critical factors that influence the postural comfort and, consequently, the learning. METHODS: A prolonged sitting posture, that is common during the daily study activity, had been simulated with fifteen volunteer students performing 1-hour tests (divided into four 15-minutes tasks). Subjective perceptions had been gathered through questionnaires rating on a 5-point Comfort scale, both the expected comfort at the beginning of the experiment and the Localized Postural Comfort at the end of each task have been investigated. Then, postural angles had been gathered through photographic acquisition and Kinovea®. CaMAN software had been used to calculate the objective (dis)comfort indexes. Finally, subjective and objective data had been statistically processed and compared. RESULTS: Lumbar area scored the lowest perceived comfort while the perceived comfort was independent of participants and tasks, but dependent on time. CONCLUSIONS: After this comfort-driven analysis, critical factors of the chair-design were checked, and a proposal for a future re-design was hypothesized.


Author(s):  
Yi-Liang Kuo ◽  
Kuo-Yuan Huang ◽  
Chieh-Yu Kao ◽  
Yi-Ju Tsai

Prolonged sitting combined with an awkward posture might contribute to the increased risks of developing spinal pain. Maintaining an upright sitting posture is thus often suggested, especially nowadays when people spend longer periods in the sitting posture for occupational or leisure activities. Many types of assistive devices are commercially available to help computer users maintain an upright sitting posture. As the technology advances, wearable sensors that use microelectromechanical technology are designed to provide real-time biofeedback and promote adjusting posture actively. However, whether such wearable biofeedback sensors could assist adjusting sitting posture in computer users during prolonged typing remains unknown. This study aimed to investigate the effects of a wearable biofeedback sensor on maintaining an upright sitting posture. Twenty-one healthy young adults were recruited and performed a 1-h computer typing task twice, with and without using the active biofeedback device. The sagittal spinal posture during computer typing was measured using a three-dimensional motion analysis system. Using the wearable biofeedback sensor significantly decreased the neck flexion (p < 0.001), thoracic kyphotic (p = 0.033), and pelvic plane (p = 0.021) angles compared with not using the sensor. Computer users and sedentary workers may benefit from using wearable biofeedback sensors to actively maintain an upright sitting posture during prolonged deskwork.


2021 ◽  
Vol 01 (01) ◽  
pp. 1-10
Author(s):  
Dossou Semako Gerard ◽  
Lawani Mohamed Mansourou ◽  
Yessoufou Lafiou ◽  
Tigri Tertulie Nawal ◽  
Houeto Vignon Gratien ◽  
...  

Author(s):  
Wenzhe Cun ◽  
Rong Mo ◽  
Jianjie Chu ◽  
Suihuai Yu ◽  
Huizhong Zhang ◽  
...  

Abstract Prolonged sitting in a fixed or constrained position exposes aircraft passengers to long-term static loading of their bodies, which has deleterious effects on passengers’ comfort throughout the duration of the flight. The previous studies focused primarily on office and driving sitting postures and few studies, however, focused on the sitting postures of passengers in aircraft. Consequently, the aim of the present study is to detect and recognize the sitting postures of aircraft passengers in relation to sitting discomfort. A total of 24 subjects were recruited for the experiment, which lasted for 2 h. Furthermore, a total of 489 sitting postures were extracted and the pressure data between subjects and seat was collected from the experiment. After the detection of sitting postures, eight types of sitting postures were classified based on key parts (trunk, back, and legs) of the human bodies. Thereafter, the eight types of sitting postures were recognized with the aid of pressure data of seat pan and backrest employing several machine learning methods. The best classification rate of 89.26% was obtained from the support vector machine (SVM) with radial basis function (RBF) kernel. The detection and recognition of the eight types of sitting postures of aircraft passengers in this study provided an insight into aircraft passengers’ discomfort and seat design.


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