Type 1 diabetes and environment . . . and other stories

A linked ecological analysis of environmental and demographic variables identified several factors, including poor air quality, outdoor light at night, and higher population density that were negatively associated with the incidence of diabetes (Diabetologia doi:10.1007/s00125-020-05087-7). A case-control study using a database of people known to have autoimmune disease raises anxiety about central nervous system inflammatory events (JAMA Neurol doi:10.1001/jamaneurol.2020.1162). A history of exposure to TNF inhibitors carried a threefold increase in risk both of demyelinating diseases, such as multiple sclerosis and optic neuritis, and of non-demyelinating conditions, such as encephalitis, neurosarcoidosis, and vasculitis.

A New Clinical Tool for Scoliosis Risk Analysis: Scoliosis Tele-Screening Test.

Study Design: Methodological, observational clinical study. Purpose: This study aimed to develop a virtual screening test to detect scoliosis risk initially by parents without the need for medical visit during the coronavirus disease 2019 pandemic. Overview of Literature: The scoliosis screening program has been implemented to early detect scoliosis. Unfortunately, access to health professionals was limited during the pandemic. However, during this time, interest in telemedicine has increased remarkably. Recently, mobile applications related to postural analysis were developed, but none permits evaluation by parents. Methods: Researchers developed the Scoliosis Tele-Screening Test (STS-Test), which included drawing-based images of body asymmetries, to assess the scoliosis-associated risk factors. The STS-Test was shared on social networks, allowing the parents to evaluate their children. After test completion, the risk score was generated automatically, and children with medium and high risks were then advised for medical consultation for further evaluation. The test accuracy and consistency between the clinician and parents were also analyzed. Results: Of the 865 tested children, 358 (41.4%) consulted clinicians to confirm their STS-Test results. Scoliosis was then confirmed in 91 children (25.4%). The parents were able to detect asymmetry in 50% of the lumbar/thoracolumbar curvatures and 82% of the thoracic curvatures. In addition, the forward bend test revealed favorable agreement between parents and clinicians (r =0.809, p<0.0005). Internal consistency of the esthetic deformities domain in the STS-Test was also excellent (α=0.901). This tool was 94.97% accurate, 83.51% sensitive, and 98.87% specific. Conclusions: The STS-Test is a new parent-friendly, virtual, cost-effective, result-oriented, and reliable tool for scoliosis screening. It allows parents to actively participate in the early detection of scoliosis by screening their children for the risk of scoliosis periodically without the need to visit the health institution.

Ergonomics in online education of medical undergraduates: A challenge to post-COVID transformation in educational activities.

BACKGROUND: Practicing incorrect postures in online and virtual education during the COVID-19 pandemic can cause significant study-related musculoskeletal problems among students. OBJECTIVE: This study evaluated the knowledge, attitude, and practice of sitting posture and computer ergonomics and study-related musculoskeletal problems in undergraduates who followed online education during the pandemic. METHODS: A cross-sectional online survey among a cohort of Sri Lankan medical undergraduates was conducted using a structured questionnaire with 56 multiple-choice or Yes/No type questions. RESULTS: Of the 410 participants, over 85% (n = 362) knew the correct posture to sit on the chair type that they frequently used for studies. However, the majority (n = 378,92.20%) practised incorrect sitting postures in which leaning forward (n = 319,77.80%) was the most common suboptimal posture. Knowledge (n = 161,40%) and practice (n = 167,40.73%) on taking frequent breaks were poor among the majority. Their knowledge on computer ergonomics was good (>80%, n = 304) except for the recommended eye-to-screen distance (n = 129,31.46%). Importantly, ∼50% (n = 206) did not practise the recommended eye-to-screen distance. Use of non-adjustable chairs with no armrests (n = 346,84.39%) and smartphones (n = 354,86.34%) were identified as the main factors which hindered correct practices. Study-related pain/discomfort reported by the majority (n = 241,58.78%) is potentially due to suboptimal ergonomics. Their attitude toward learning and practicing correct ergonomics in home workstations was good (n = 383,93.41%). CONCLUSION: Poor practice of posture and computer ergonomics, despite the good knowledge and attitude is possibly due to the suboptimal work environments. Introducing simple practical measures to facilitate ergonomically appropriate work environments is mandatory in virtual education to prevent study-related musculoskeletal problems.

Body Posture Correction and Hand Gesture Detection Using Federated Learning and Mediapipe

In today's post-covid culture, where everyone works from home, there is a huge possibility of serious long-term health problems. A lot of people have started taking up exercises at home and if done incorrectly, they can have major negative effects. Another one of the main contributors to these health issues is bad sitting posture, which is only exacerbated when working for hours on end. Hand gesture detection has many useful applications in elderly healthcare, automating actions and gesture-based presentations and games. To help users with these actions, our paper proposes pinpointing the points of the error to the user in real-time and in a lightweight manner for yoga posture correction. The incorrect positions shall be shown in real-time on top of the user's video feed to help them correct it properly. The user shall be told about when they are sitting in a bad position, and the overall bad posture time will also be shown for the session, which will provide the required information to the user. To further help users in a useful manner, our paper looks to augment the hand gesture detection feature with federated learning and personalization to avoid the common pitfall of privacy concerns, while still allowing users to customize their experience. The proposed library for the implementation of these tasks is the MediaPipe library. This library is one of the key components that makes the features lightweight and easy to use. The aforementioned library also looks to implement the features in real time with no lag while keeping the resource requirements as low as possible. © 2023 IEEE.

Prevalence of impaired upper extremity neural mobility among smart device users during the COVID-19 pandemic.

BACKGROUND: Both the development of various countries and people's health were impacted by the unforeseen global COVID-19 outbreak. Many countries prefer to do their daily business online. Although it was incredibly useful at the time, it still had a problem that was not properly addressed, especially among the student population. OBJECTIVE: The objective of this study was to examine the prevalence of upper extremity neural mobility among students who were using smart devices during the COVID-19 pandemic. METHODS: 458 students who had previously taken home-based online classes during the COVID-19 pandemic and used a smart device for more than six hours were included in this study. The study was conducted in three phases. After being examined in the first two stages of the study, a total of 72 people were chosen for the final phase. Peripheral nerve mobility tests were performed on these 72 subjects. RESULTS: This study observed that 15.72% of smart device users have been affected by forward neck posture and impaired peripheral nerve mobility in the cervical spine. CONCLUSION: The study concludes that forward neck posture is associated with impaired peripheral nerve mobility among smart device users who were in home-based online classes during the COVID-19 pandemic lockdown. Hence, we suggest an appropriate treatment strategy focusing on preventing the forward neck posture through timely analysis and self-care therapies.

Modelling Proper and Improper Sitting Posture of Computer Users Using Machine Vision for a Human–Computer Intelligent Interactive System during COVID-19

Featured ApplicationThe study could be used for sitting posture monitoring in a work-from-home setup. This could also be used for rehabilitation purposes of patients who has posture-related problems.Human posture recognition is one of the most challenging tasks due to the variation in human appearance, changes in the background and illumination, additional noise in the frame, and diverse characteristics and amount of data generated. Aside from these, generating a high configuration for recognition of human body parts, occlusion, nearly identical parts of the body, variations of colors due to clothing, and other various factors make this task one of the hardest in computer vision. Therefore, these studies require high-computing devices and machines that could handle the computational load of this task. This study used a small-scale convolutional neural network and a smartphone built-in camera to recognize proper and improper sitting posture in a work-from-home setup. Aside from the recognition of body points, this study also utilized points' distances and angles to help in recognition. Overall, the study was able to develop two objective datasets capturing the left and right side of the participants with the supervision and guidance of licensed physical therapists. The study shows accuracies of 85.18% and 92.07%, and kappas of 0.691 and 0.838, respectively. The system was developed, implemented, and tested in a work-from-home environment.

Impact of El-Poems study: the e-learning for postural education in music students: a randomized controlled trial protocol.

BACKGROUND: Musculoskeletal pain (MP) has today intensified in a large proportion of music students in Iran. Poor posture while playing an instrument is thus assumed as a very significant risk factor affecting such a condition in this population. The present study aims to evaluate the impact of electronic learning (e-learning) for postural education to music students on posture behavior and MP (abbreviated as an El-Poems study). METHODS: This study is a matched-pair, two-arm, parallel randomized controlled trial (RCT). The participants, as the 7th-to-12th-grade music students, will be accordingly assigned to intervention (n = 204) and control (n = 204) groups, based on the inclusion and exclusion criteria. The postural education will be also presented through the web-based Student Education Network (with the acronym, SHAD) at the Tehran Conservatory of Music, Tehran, Iran. The intervention program consists of four sessions, using the Integrated Change (I-Change) model. It will be also implemented by a trained physical education instructor and a health educator. The content of the program includes raising awareness, building motivation, and developing skills. Besides, its components are comprised of specific proper postures viz. standing, sitting, lifting, carrying, and hand position while playing a musical instrument. The primary outcome is the MP that will be assessed by the Nordic Body Map (NBM) questionnaire and a numerical rating scale (NRS), and the secondary outcome is the posture behavior that will be evaluated objectively, using the Rapid Entire Body Assessment (REBA) tool. The data will be also collected at baseline and after a six-month follow-up. CONCLUSION: This RCT is an innovative study as a pioneer to represent the first attempt for web-based postural education as well as an attractive intervention to prevent MP in Iranian music students. TRIAL REGISTRATION: Current Controlled Trials IRCT20180528039885N2 . Prospectively registered on 11 September 2021.

A Survey on Yogic Posture Recognition

Yoga has been a great form of physical activity and one of the promising applications in personal health care. Several studies prove that yoga is used as one of the physical treatments for cancer, musculoskeletal disorder, depression, Parkinson's disease, and respiratory heart diseases. In yoga, the body should be mechanically aligned with some effort on the muscles, ligaments, and joints for optimal posture. Postural-based yoga increases flexibility, energy, overall brain activity and reduces stress, blood pressure, and back pain. Body Postural Alignment is a very important aspect while performing yogic asanas. Many yogic asanas including uttanasana, kurmasana, ustrasana, and dhanurasana, require bending forward or backward, and if the asanas are performed incorrectly, strain in the joints, ligaments, and backbone can result, which can cause problems with the hip joints. Hence it is vital to monitor the correct yoga poses while performing different asanas. Yoga posture prediction and automatic movement analysis are now possible because of advancements in computer vision algorithms and sensors. This research investigates a thorough analysis of yoga posture identification systems using computer vision, machine learning, and deep learning techniques.

Idiopathic anomalous congenital band causing small intestinal obstruction in a 5-month-old dog

A 5-month-old, intact male, yellow Labrador retriever was presented with a 24-hour history of anorexia and vomiting. Abdominal imaging revealed the presence of a mechanical obstruction in the jejunum and peritoneal effusion. Cytologic evaluation and culture of the effusion prior to surgery identified a suppurative exudate with bacteria consistent with septic peritonitis and suspected to be related to the intestinal lesion. An exploratory laparotomy was performed, and a segment of jejunum was circumferentially severely constricted by an off-white, fibrous band of tissue. Resection and anastomosis of the strangulated segment of jejunum and excision of the constricting band provided resolution of the clinical signs. The dog made a complete recovery. Histologic evaluation revealed the band to be composed of fibrovascular and smooth muscle tissue, consistent with an idiopathic anomalous congenital band. No other gastrointestinal lesions were observed, either grossly at surgery or histologically in the resected segment of intestine. To our knowledge, a similar structure has not been reported in the veterinary literature.Copyright © 2022 Canadian Veterinary Medical Association. All rights reserved.

Ballet Pedagogy and a "Hard Re-Set”: Perspectives on Equitable and Inclusive Teaching Practices

In her scholarship on pedagogy, Gloria Ladson-Billings describes COVID-19 as a call to re-set education using a more culturally relevant pedagogy. As ballet teachers and researchers working in higher education and pre-professional settings, we teach a form of dance often associated with the characteristics of white supremacy. Through this collaborative institutional ethnography, we generated methods for posing questions, critiquing choices, and imagining alternatives to create more equitable educational settings. We connect the process of addressing and challenging systemic exclusions in ballet with tangible steps toward creating more inclusive classes and performances that value the joy and pleasure in moving. © 2022 Taylor & Francis Group, LLC.

Ballet Pedagogy and a "Hard Re-Set”: Perspectives on Equitable and Inclusive Teaching Practices

In her scholarship on pedagogy, Gloria Ladson-Billings describes COVID-19 as a call to re-set education using a more culturally relevant pedagogy. As ballet teachers and researchers working in higher education and pre-professional settings, we teach a form of dance often associated with the characteristics of white supremacy. Through this collaborative institutional ethnography, we generated methods for posing questions, critiquing choices, and imagining alternatives to create more equitable educational settings. We connect the process of addressing and challenging systemic exclusions in ballet with tangible steps toward creating more inclusive classes and performances that value the joy and pleasure in moving.

OČUVANJE ZDRAVLJA PRI RADU S RAČUNALOM PREMA KURIKULUMU INFORMATIKE ZA OSNOVNE ŠKOLE U REPUBLICI HRVATSKOJ

SAŽETAK: Polazište u ovom radu je odredenje iz Odluke o donošenju kurikuiuma za nastavni predmet informatike za osnovne škole i gimnazije u Republici Hrvatskoj1 da je zdravlje jedna od temeljnih vrijednosti odgoja i obrazovanja. U širem smislu briga o zdravlju, a time i zdravstveno obrazovanje uključuje razumijevanje uloge okolišnih čimbenika te razumijevanje zdravija kao preduvjeta, ishodišta i pokazatelja održivog razvoja društva u cjelini, odnosno razumijevanje i usvajanje zdravih životnih navika, a izbjegavanje navika štetnih za zdravlje. Svrha je i cilj motiviranje te pružanje znanja i potpore za usvajanje zdravih životnih stilova i odgovornog ponašanja. Težište je na važnosti brige o zdravlju tijekom cijeloga života, na očuvanju i unapredivanju zdravlja, sprječavanju bolesti i posljedica bolesti, invaliditeta i prijevremene smrti. Osobito je važno uključiti sadržaje o sigurnosti i zaštiti zdravlja (na radu) u kurikuiume nastavnih predmeta. Prema Odluci o donošenju kurikuiuma za nastavni predmet informatike za osnovne škole i gimnazije u Republici Hrvatskoj iz 2018. godine, navedeno je da će učenici od 1. do 4. razreda osnovne škole moči odabrati nastavni predmet informatika kao izborni predmet od školske godine 2020./2021. U prvom dijelu radu prikazan je izvadak iz dijela Odluke o donošenju kurikuluma za nastavni predmet informatike za osnovne škole i gimnazije u Republici Hrvatskoj2 kao i izvadak iz Kurikuiuma nastavnog predmeta Informatike za osnovne škole i gimnazije3, s aspekta očuvanja (zaštite) zdravlja pri radu s računalom kroz usvajanje osnovnih pojmova, prava i obveza te kineziološka pravila kretanja, sjedenja, odnosno držanja. Dok je u drugom dijelu rada prikazana analiza sadržaja udžbenika za nastavni predmet informatika u nižim razredima osnovne škole, koji učenicima omogućuju razumjeti i odgovorno primjenjivati sigurnosne preporuke s ciljem očuvanja (zaštite) zdravlja pri radu s računalom. informatika u nižim razredima osnovne škole, koji učenicima omogućuju razumjeti i odgovorno primjenjivati sigurnosne preporuke s ciljem očuvanja (zaštite) zdravlja pri radu s računalom.Alternate :The basis of this paper is the Decision on the adoption of the informatics curriculum for primary schools and gymnasia in the Republic of Croatia and, in particular, its stipulation that health is one of the fundamental values in the educational process, in a broad sense, healthcare and health education involves the understanding of the role of environmental factors, the understanding of health as a prerequisite, a foundation, and an indicator of sustainable development of society as a whole, as well as the understanding and adopting healthy habits, while avoiding the harmful ones. The purpose and the goal is to motivate the adoption of healthy lifestyle and responsible behavior and to provide the necessary knowledge and support. The emphasis is put on the importance of proper lifelong healthcare, on the preservation and improvement of health, on prevention of disease and their consequences, disability, and premature death. It is particularly important to include the content on occupational health and safety into the school course curricula. According to the aforementioned Decision taken in 2018, the pupils in primary schools in grades 1 to 4 will have the possibility to choose informatics as an optional course from the school year 2020/21 onwards. The first part of the paper presents an excerpt from the Decision, as well as the excerpt from the informatics curriculum for primary schools and gymnasia as the subject of the said Decision. Both excerpts cover the aspect of preservation and protection of health during work on a computer through adoption of basic terminology, rights and obligations, and the rules of kinesiology that refer to movement, sitting and posture. The second part of the paper presents the analysis of the content of textbooks used for the course informatics in grades 1 to 4 in elementary schools, in particular the parts that help the pu ils understand and apply the safety recommendations that were given to preserve and protect health during work on a computer.

Are you resilient? Machine learning prediction of corporate rebound out of the Covid‐19 pandemic: MDE

We use the Covid‐19 crisis to assess how four capability domains that traditionally support corporate performance (agility, innovation, ecosystem play and digitization) can also predict corporate resilience, among global firms. Our results are based on a blend of advanced machine learning techniques that capture the complementarities among capabilities. We confirm that dynamic capabilities boost recovery, but especially when linked with aggressive leadership posture, e.g. rebound is more likely when firms are the main player/orchestrator of their business ecosystems as well as when they invest in disruptive, as opposed to incremental innovations.

Physiotherapy in Musculoskeletal and Sports conditions: AB No: 70: Association of Musculoskeletal Pain, Body Part and Posture with Use of Various Electronic Devices in Students of Age 14–18 Years-A Cross Sectional Study

Purpose: To determine association of musculoskeletal pain, body part and posture due to the use of various electronic devices in higher secondary school students. Relevance: The present situation of COVID-19 has show increased use of electronic devices for studies in students' life. Children using gadgets for long duration attain improper posture which are associated with musculoskeletal disorders. Participants: High school students of age between 14–18 years with a minimum use of electronic devices for 6 months. Methods: An observational study design was conducted at various schools in Belagavi city for a sample of 388 students. Data collection was based on an E-form (Google form) which included informed consents, informed assents and assessment tool Adolescent pediatric pain tool (APPT). Analysis: Standard descriptive statistics were used for the data, frequency tables and percentage analysis for categorical variables. Pearson Correlation test were used. Result: The results of study showed that pain in the right and left knee was associated with use of television and significantly corelated to assumption of certain positions. Neck pain was associated with the use of laptops and assuming particular positions. The duration of time spent using an electronic device and the severity of pain were found to have a strong positive correlation. Conclusion: There is significant association present between pain, body part and posture due to the use of electronic device in students of age 14–18 years. Implications: The knowledge about the improper posture and its musculoskeletal consequences can help minimize and prevent further complications associated with it by ergonomic advice.

Low Back Pain Prevalence among Distance Learning Students.

Background: Low back pain as a symptom affects many individuals around the globe regardless of their economic status or sociodemographic characteristics. During the 2019 COVID-19 pandemic, students found themselves obligated to sit down for long periods of time. The aim of this current study is to investigate the impact of these prolonged periods of sitting down in front of computers on developing a new episode of low back pain. Methods and Materials: This research adopted an observational cross-section study design. Students who are currently enrolled or had experienced distance learning classes in the last 6 months were eligible to participate. An online-based questionnaire was developed by the investigators through reviewing the literature with relevant objectives. McNemar's test was used to compare certain variables between two periods before and during online distance learning. We used paired t-tests to compare pain intensity before, during, and after online learning, while a chi-square test was used to investigate correlations between factors influencing low back pain. Results: A total of 84 students participated in the study­46 (54.8%) females and 38 (45.2%) males. Before online distance learning, only 42.9% of participants reported low back pain, while only 20% had a back injury. The mean pain scores before, during, and after online distance learning were (2.85 ± 2.16, 4.79 ± 2.6, and 4.76 ± 2.7), respectively. The pain scores before online learning were significantly lower than pain scores during and after online distance learning (p < 0.05), respectively. Conclusion: The study findings suggested that low back pain prevalence increased among students during the COVID-19 pandemic. Future research should study participants' behavior during the online learning and assess the long-run impact of distance learning among high-school and undergraduate students.

Spine patient care with wearable medical technology: state-of-the-art, opportunities, and challenges: a systematic review.

BACKGROUND CONTEXT: Healthcare reforms that demand quantitative outcomes and technical innovations have emphasized the use of Disability and Functional Outcome Measurements (DFOMs) to spinal conditions and interventions. Virtual healthcare has become increasingly important following the COVID-19 pandemic and wearable medical devices have proven to be a useful adjunct. Thus, given the advancement of wearable technology, broad adoption of commercial devices (ie, smartwatches, phone applications, and wearable monitors) by the general public, and the growing demand from consumers to take control of their health, the medical industry is now primed to formally incorporate evidence-based wearable device-mediated telehealth into standards of care. PURPOSE: To (1) identify all wearable devices in the peer-reviewed literature that were used to assess DFOMs in Spine, (2) analyze clinical studies implementing such devices in spine care, and (3) provide clinical commentary on how such devices might be integrated into standards of care. STUDY DESIGN/SETTING: A systematic review. METHODS: A comprehensive systematic review was conducted in adherence to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Guidelines (PRISMA) across the following databases: PubMed; MEDLINE; EMBASE (Elsevier); and Scopus. Articles related to wearables systems in spine healthcare were selected. Extracted data was collected as per a predetermined checklist including wearable device type, study design, and clinical indices studied. RESULTS: Of the 2,646 publications that were initially screened, 55 were extensively analyzed and selected for retrieval. Ultimately 39 publications were identified as being suitable for inclusion based on the relevance of their content to the core objectives of this systematic review. The most relevant studies were included, with a focus on wearables technologies that can be used in patients' home environments. CONCLUSIONS: Wearable technologies mentioned in this paper have the potential to revolutionize spine healthcare through their ability to collect data continuously and in any environment. In this paper, the vast majority of wearable spine devices rely exclusively on accelerometers. Thus, these metrics provide information about general health rather than specific impairments caused by spinal conditions. As wearable technology becomes more prevalent in orthopedics, healthcare costs may be reduced and patient outcomes will improve. A combination of DFOMs gathered using a wearable device in conjunction with patient-reported outcomes and radiographic measurements will provide a comprehensive evaluation of a spine patient's health and assist the physician with patient-specific treatment decision-making. Establishing these ubiquitous diagnostic capabilities will allow improvement in patient monitoring and help us learn about postoperative recovery and the impact of our interventions.

The relationship between objectively measured sitting time, posture, and low back pain in sedentary employees during COVID-19.

Purpose: The purpose of this study was to examine the relationship between objectively measured sitting time, posture, and low back pain (LBP) in adults with full-time (≥ 40 h/week) sedentary "desk" jobs. Physical activity (PA) and sedentary behavior (SB) between work environments (home vs. office) were also compared during COVID-19. Methods: Participants (N = 53; M age = 41 ± 12years) were full-time employees in sedentary jobs during COVID-19. A survey with demographic, work environment, and LBP questions was completed; Thomas Test assessed poor hip posture. ActivPAL devices were worn for ≥ 4 valid days (≥ 10 h/d) to assess waking sitting time (min/d). Binomial logistic regressions examined sitting as a predictor of poor posture and LBP; ANOVAs compared PA and SB between work environments. Results: Objectively measured sitting (min/day) predicted poor hip posture (ß = - 0.01, p < 0.046) but was not significant for LBP (ß = 0.002, p < 0.43). Participants who worked from home had significantly higher sitting time (569 ± 111 vs. 477 ± 46 min/d; p < 0.04), higher muscle strengthening PA (2.2 ± 2 vs. 0.5 ± 1.2d/week p < 0.02), but no difference in aerobic PA (p < 0.15), than those who worked from an office. Conclusion: Given the shift to remote work during COVID-19, employees are at high risk for postural compensations that lead to LBP due to high SB and poor work ergonomics at home. There is a need to develop home-based behavioral and exercise interventions to reduce sitting, help improve posture, and invest in proper ergonomic homework equipment.

Recognizing elderly peoples by analyzing their walking pattern using body posture skeleton

The increasing age of the population has become a significant concern internationally. During the COVID-19 pandemic situation, it has been seen that the most sensitive and affected class of the population is the class of Elder's. It is therefore necessary to track the movement and behavior of the old persons. This kind of monitoring could help them in providing assistance in their needy time. Our objective is to develop an approach to classify elderly people using skeleton data for their assistance. OpenPose algorithm is used here to detect human skeletons (joint positions) from the video sequences. OpenPose algorithm with a sliding window of size 'N' is used to achieve a real-time posture recognition framework. Posture features from each extracted skeleton are then used to build a classifier for recognizing elderly people. We also introduce here a new dataset that includes old person walk and young person walk video's. The experimental outcomes reveal that the proposed method has achieved up to 98.45% training accuracy and 96.16% testing accuracy for deep feed-forward neural network (FFNN) classifier. This asserts the effectiveness of the approach.

The Risk Factors for Musculoskeletal Symptoms During Work From Home Due to the Covid-19 Pandemic.

Background: Online teaching and learning extend the duration of using gadgets such as mobile phones and tablets. A prolonged usage of these gadgets in a static position can lead to musculoskeletal disorders (MSD). Therefore, this study aims to identify the risk factors related to musculoskeletal symptoms while using gadgets during work from home due to the COVID-19 pandemic. Method: A cross-sectional survey with online-based questionnaires was collected from the University of Indonesia, consisting of lecturers, students, and managerial staff. The minimum number of respondents was 1,080 and was defined by stratified random sampling. Furthermore, the dependent variable was musculoskeletal symptoms, while the independent were age, gender, job position, duration, activity when using gadgets, and how to hold them. Result: Most of the respondents had mobile phones but only 16% had tablets. Furthermore, about 56.7% have used a mobile phone for more than 10 years, while about 89.7% have used a tablet for less than 10 years. A multivariate analysis found factors that were significantly associated with MSD symptoms while using a mobile phone, such as age, gender, web browsing activity, work, or college activities. These activities include doing assignments and holding the phone with two hands with two thumbs actively operating. The factors that were significantly associated with MSD symptoms when using tablets were gender, academic position, social media activity, and placing the tablet on a table with two actively working index fingers. Conclusion: Therefore, from the results of this study it is necessary to have WFH and e-learning policies to reduce MSD symptoms and enhance productivity at work.

Risk factors of sitting cross-legged on low back pain of students at Islamic Boarding School

This study aimed to analyze the correct cross-legged sitting position to prevent low back pain in students at Islamic boarding schools. This study used an analytical design with a cross-sectional design. The study was conducted 30 males on Students at the Durrotu Aswaja Islamic Boarding School in Semarang. Participants also agreed to the procedure by filling out and signing the informed. The instrument in this study used a questionnaire and pain measurement of low back pain using the Visual Analog Scale. The results of this study indicate that 20 out of 30 Islamic boarding school students have experienced low back pain due to the cross-legged position. From test data A to C found the average results show 13% of respondents experiencing very severe pain, 9% of respondents experiencing severe pain, 73% of respondents experiencing moderate pain, and 6% of respondents experiencing mild pain. In conclusion, many things cause low back pain, one of which is the effect that sitting in one position for a long time has on low back pain. Some of the pain results in complaints such as low back pain, knee pain, and tingling. Due to the COVID-19 pandemic's social isolation, only students who signed informed consent were willing to engage in the study until it was finished, which resulted in a insignificant number of respondents. Many respondents were still in their homes or local communities at the time, which poses a limitation for this study.