Article
Multidisciplinary Sciences
Anna Blaszczyk, Malgorzata B. Ogurkowska
Summary: The aim of this research was to investigate whether ergonomic instruction conducted by a physiotherapist would change the range of motion of the lumbar spine segments and the symmetry of muscle work in the torso and upper limbs of foundry employees. The results showed that ergonomic instruction reduced contralateral muscle imbalance and changed the range of movement in the lumbar spine segments.
Article
Biotechnology & Applied Microbiology
Tobias Walter, Norman Stutzig, Tobias Siebert
Summary: This study investigates the effect of an active exoskeleton on back muscle activity when lifting weights. It was found that the use of the active exoskeleton significantly reduces muscle activity and perceived exertion. Therefore, active exoskeletons provide noticeable support when lifting heavy weights, reducing muscle activity and pressure on the lumbar region.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
(2023)
Article
Behavioral Sciences
Pongsatorn Saiklang, Rungthip Puntumetakul, James Selfe, Gillian Yeowell
Summary: The study examined the effectiveness of a supported dynamic lumbar extension with the abdominal drawing-in maneuver (ADIM) technique on various factors related to prolonged sitting in chronic low back pain (CLBP) patients. Results showed that the intervention had a protective effect on detrimental stature change and deep trunk muscle fatigue, while also preventing an increase in pain intensity. This intervention is important for preventing low back pain problems in individuals who sit for prolonged periods.
Article
Engineering, Industrial
Ali Murtoja Shaikh, Bibhuti Bhusan Mandal, S. Mangani Mangalavalli
Summary: This study provides an overview of WRMSDs in the mining sector and highlights the causative and associative factors that have been identified through published research. However, there are still research gaps that need to be addressed.
Article
Metallurgy & Metallurgical Engineering
Sandeep Kumar Jeripotula, Aruna Mangalpady, Govinda Raj Mandela
Summary: This study conducted an ergonomic assessment of musculoskeletal disorders among surface mine workers in India, finding a high prevalence of WMSDs, particularly among operators of dumpers, dozers, and electricians, with back disorders being the most affected. Factors such as maintaining static posture for a long time, bouncing and jarring, and repetitive work were significantly associated with WMSDs.
MINING METALLURGY & EXPLORATION
(2021)
Article
Behavioral Sciences
Ilseok Lee, Jiwon Choi, Sang Hyeon Kang, Sangeun Jin
Summary: The study found that using a higher and concave desk in a standing workstation can reduce wrist extension and related muscle activity, but at the cost of a larger wrist adduction angle.
Article
Public, Environmental & Occupational Health
A. Weisman, T. Yona, U. Gottlieb, R. Ingel, Y. Masharawi
Summary: Tattoo artists and dental workers exhibit similar characteristics of musculoskeletal pain, distinct from office workers. The physical demands of their occupations likely contribute to these differences.
OCCUPATIONAL MEDICINE-OXFORD
(2022)
Article
Environmental Sciences
Mark Troester, Sarah Budde, Christophe Maufroy, Michael Skipper Andersen, John Rasmussen, Urs Schneider, Thomas Bauernhansl
Summary: Musculoskeletal disorders induced by industrial manual handling tasks are a significant issue, and occupational exoskeletons can provide flexible ergonomic solutions to reduce body stress. Biomechanical models help us understand specific effects and are essential for effective implementation. The analysis shows that exoskeleton support can significantly decrease compression forces during heavy loaded tasks, with asymmetric motions being more relieved than symmetric ones.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2022)
Article
Health Care Sciences & Services
Parichat Ong-Artborirak, Supakan Kantow, Katekaew Seangpraw, Prakasit Tonchoy, Nisarat Auttama, Monchanok Choowanthanapakorn, Sorawit Boonyathee
Summary: The prevalence of MSDs is high among ethnic lychee-longan harvesting workers in northern Thailand, with the hands, shoulders, and neck being the most affected body parts. The ergonomic risk scores are significantly associated with MSDs in multiple body parts. Therefore, using an ergonomic approach to improve the working environment and posture movement is crucial in preventing MSDs.
Article
Ergonomics
Denise Harari, Raquel Aparecida Casarotto
Summary: A workplace-based multifaceted intervention including participatory ergonomics, workplace exercises, and acupuncture significantly reduced the rate of musculoskeletal disorders (MSDs) and absenteeism among workers. The intervention also led to improvements in pain symptoms for workers with baseline pain and achieved prevention targets for workers without pain. Most workers agreed that the intervention improved the consequences of MSDs.
INTERNATIONAL JOURNAL OF OCCUPATIONAL SAFETY AND ERGONOMICS
(2021)
Article
Environmental Sciences
Elamara Marama de Araujo Vieira, Jonhatan Magno Norte da Silva, Wilza Karla dos Santos Leite, Ruan Eduardo Carneiro Lucas, Luiz Bueno da Silva
Summary: This research aimed to investigate the relationship between team workload and performance in healthcare workers with different intensities of musculoskeletal symptoms. The findings showed that higher symptom intensity led to lower performance and worse team workload. However, as the intensity of symptoms decreased, the relationship between team workload and performance improved.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2023)
Article
Public, Environmental & Occupational Health
Markus D. Jakobsen, Jonas Vinstrup, Lars L. Andersen
Summary: High physical exertion during healthcare work is associated with the frequency of daily patient transfers, self-reliance of patients, use of assistive devices, and specific types of assistive devices used during patient transfer. Age and lifestyle factors are not associated with high physical exertion.
WORK-A JOURNAL OF PREVENTION ASSESSMENT & REHABILITATION
(2022)
Article
Clinical Neurology
Stacy R. Loushin, Courtney Pendleton, Robert J. Spinner, Kenton R. Kaufman
Summary: This study aimed to quantify human exposure to hand-arm vibration from a surgical drill during a simulation of a common spine procedure. Vibration measurements were collected during three 30-second surgical trials on a fresh frozen cadaver torso specimen. The results showed that surgeons reached their exposure limits after a certain period of tool usage.
WORLD NEUROSURGERY
(2022)
Article
Behavioral Sciences
Dongwon Kim, Corine Nicoletti, Subaryani D. H. Soedirdjo, Raziyeh Baghi, Maria-Gabriela Garcia, Thomas Laubli, Pascal Wild, Alberto Botter, Bernard J. Martin
Summary: The study found that brief voluntary contractions disrupting monotonous trapezius activity effectively modified the subsequent contraction pattern, reducing muscle fatigue.
Article
Ergonomics
Whitney Brown, Evangelos Pappas, Bridget Foley, Joshua R. Zadro, Kate Edwards, Martin Mackey, Debra Shirley, Alexander Voukelatos, Emmanuel Stamatakis
Summary: This study investigated the effect of different sit-stand workstations on lumbar spine kinematics, lumbar muscle activity, and musculoskeletal pain among office workers. The results showed that sit-stand workstations reduced overall lumbar spine flexion angles during the workday but had no effect on other kinematic measures, lumbar muscle activity, or musculoskeletal pain.
INTERNATIONAL JOURNAL OF OCCUPATIONAL SAFETY AND ERGONOMICS
(2022)
Review
Environmental Sciences
Christos Kokkotis, Georgios Chalatsis, Serafeim Moustakidis, Athanasios Siouras, Vasileios Mitrousias, Dimitrios Tsaopoulos, Dimitrios Patikas, Nikolaos Aggelousis, Michael Hantes, Giannis Giakas, Dimitrios Katsavelis, Themistoklis Tsatalas
Summary: Modern lifestyles require new tools that can quantitatively determine a person's ability to return to daily activities after knee surgery. Machine learning is a revolutionary approach that can meet the requirements of high discrimination, non-invasiveness, and affordability. This study conducted a systematic literature review to summarize the use of advanced machine learning algorithms in identifying gait-related changes and determining the functional recovery status of knee-surgery patients. Out of 405 articles, 6 met the inclusion criteria and directly addressed the quantification of recovery status using machine learning and gait data. The results showed an increasing use of sophisticated machine learning techniques for personalized post-treatment interventions in knee-surgery patients.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2023)
Review
Chemistry, Analytical
Anastasia Papavasileiou, Anthi Xenofondos, Stephane Baudry, Thomas Lapole, Ioannis G. Amiridis, Dimitrios Metaxiotis, Themistoklis Tsatalas, Dimitrios A. Patikas
Summary: This systematic review examined the characteristics of neuromuscular electrical stimulation protocols on the plantar flexors. The study found that stimulation through tibial nerve had a wider range of frequencies and intensity normalization methods compared to triceps surae stimulation. These findings provide important insights for future interventions and rehabilitation research.
Article
Nutrition & Dietetics
Anastasios A. Theodorou, Panagiotis N. Chatzinikolaou, Nikos V. Margaritelis, Filippos Christodoulou, Themistoklis Tsatalas, Vassilis Paschalis
Summary: This study aimed to examine the effect of short-term L-citrulline supplementation on respiratory muscles' performance, fatigue, and oxygenation in older adults. The results showed that L-citrulline supplementation increased exhaled NO, but had no effects on pulmonary function, muscle oxygenation, and other parameters.
Article
Environmental Sciences
Theodora Angelopoulou, Sabine Chabrillat, Stefano Pignatti, Robert Milewski, Konstantinos Karyotis, Maximilian Brell, Thomas Ruhtz, Dionysis Bochtis, George Zalidis
Summary: Remote sensing and soil spectroscopy techniques are valuable for estimating soil properties. This study validated the performance of laboratory and imaging spectroscopy sensors in estimating soil organic matter and calcium carbonate content. The results demonstrate the potential of using these techniques for quantitative predictions of soil properties at larger scales.
Editorial Material
Chemistry, Multidisciplinary
Dimitrios Kateris, Dionysis Bochtis
APPLIED SCIENCES-BASEL
(2023)
Article
Computer Science, Information Systems
Serafeim Moustakidis, Spyridon Plakias, Christos Kokkotis, Themistoklis Tsatalas, Dimitrios Tsaopoulos
Summary: Understanding the performance indicators that contribute to the final score of a football match is crucial for directing the training process. This paper presents a pipeline for identifying key team-level performance variables in football using explainable ML techniques. The pipeline provides valuable insights for coaches and sports analysts to improve performance and allows for a deeper understanding of the factors contributing to the predicted average team score performance.
Article
Sport Sciences
Alexandros Lazaridis, Ioannis Syrmpas, Themistoklis Tsatalas, Charalampos Krommidas, Nikolaos Digelidis, Antonino Bianco
Summary: The present study aimed to investigate the impact of COVID-19 restrictive measures on adolescents' physical activity levels and well-being. The results showed that adolescents' physical activity levels did not meet the recommendations of the World Health Organization and the COVID-19 restrictions had a negative effect on their physical activity and well-being.
JOURNAL OF FUNCTIONAL MORPHOLOGY AND KINESIOLOGY
(2023)
Review
Sport Sciences
Spyridon Plakias, Serafeim Moustakidis, Christos Kokkotis, Themistoklis Tsatalas, Marina Papalexi, Dionysios Plakias, Giannis Giakas, Dimitrios Tsaopoulos
Summary: This paper conducted a critical review of 40 research articles to explore the identification and measurement of soccer playing styles. The findings suggested that factor analysis is the most effective technique among inductive statistics, and artificial intelligence opens new possibilities in performance analysis. Further research is needed to examine the effectiveness of different playing styles and the impact of contextual variables on them.
JOURNAL OF FUNCTIONAL MORPHOLOGY AND KINESIOLOGY
(2023)
Article
Physiology
Christina A. Liakou, Ioannis G. Fatouros, Athanasios Poulios, Themistoklis Tsatalas, Evangeli Karampina, Panagiota Karanika, Despoina Kaloudi, Anastasia Rosvoglou, Panagiotis Tsimeas, Anna Kamperi, Niki Syrou, Athanasios Gatsas, Konstantinos Papanikolaou, Dimitrios Draganidis, Panagiotis Tsaklis, Giannis Giakas, Athanasios Z. Jamurtas, Chariklia K. Deli
Summary: The study indicates that both unresisted and resisted sprint training can lead to prolonged reduction in muscle strength and sprinting performance, as well as increased DOMS and CK levels.
EUROPEAN JOURNAL OF APPLIED PHYSIOLOGY
(2023)
Article
Sport Sciences
Anastasia Rosvoglou, Ioannis G. Fatouros, Athanasios Poulios, Themistoklis Tsatalas, Konstantinos Papanikolaou, Evaggeli Karampina, Christina A. Liakou, Panagiotis Tsimeas, Panagiota Karanika, Dimitrios Tsoukas, Ioannis Katrabasas, Athanasios Chatzinikolaou, Chariklia K. Deli, Giannis Giakas, Athanasios Z. Jamurtas, Dimitrios Draganidis
Summary: This study compared the effects of different intensities of eccentric contractions on muscle damage and recovery. The results showed that higher intensity eccentric contractions resulted in more severe muscle damage and slower recovery.
JOURNAL OF SPORTS SCIENCES
(2023)
Review
Chemistry, Analytical
Lefteris Benos, Vasileios Moysiadis, Dimitrios Kateris, Aristotelis C. Tagarakis, Patrizia Busato, Simon Pearson, Dionysis Bochtis
Summary: In order to improve the efficiency, flexibility, and adaptability of agricultural practices, human-robot interaction (HRI) has been introduced in agriculture with the help of advancing information and communication technologies. This paper provides a systematic review of scholarly literature in this field, highlighting the progress, trends, and future research directions. The findings show a growing interest in HRI applications, combining perspectives from various disciplines for a comprehensive understanding. The selected papers focused on synergistic target detection with simulation as the main methodology, and melons, grapes, and strawberries emerged as the crops with the highest interest. Collaboration and cooperation were found to be the preferred interaction modes, with different levels of automation examined. The synergy of humans and robots demonstrated the best results in terms of system performance, worker workload, and task execution time, but establishing viable, functional, and safe human-robot interactive systems still requires further progress.
Review
Sport Sciences
Spyridon Plakias, Serafeim Moustakidis, Christos Kokkotis, Marina Papalexi, Themistoklis Tsatalas, Giannis Giakas, Dimitrios Tsaopoulos
Summary: Identifying playing styles in football is important, but research on individual player styles is still limited. This systematic review highlights the lack of a structured theoretical framework and studies on the influence of contextual variables on player styles. Methodological deficiencies and disparities between sports science and data science studies are also observed.
JOURNAL OF FUNCTIONAL MORPHOLOGY AND KINESIOLOGY
(2023)
Article
Medicine, General & Internal
Claire Chrysanthi Karpodini, Themistoklis Tsatalas, Ioannis Giannakopoulos, Mattias Romare, Giannis Giakas, Panagiotis V. Tsaklis, Petros C. Dinas, Aline Nogueira Haas, Sokratis G. Papageorgiou, Efthalia Angelopoulou, Matthew A. Wyon, Yiannis Koutedakis
Summary: The aim of this study is to investigate the acute effects of a specially designed musicokinetic program on patients with Parkinson's disease, including anxiety levels, kinematic and kinetic parameters, and frontal cortex hemodynamic responses during gait initiation and walking. The study will be conducted as a blind cross-over randomized control trial with 13 volunteers attending a 45-minute musicokinetic program in synchronous and asynchronous formats. Gait biomechanics and frontal cortex hemodynamic responses will be measured using motion analysis and near-infrared spectroscopy, respectively, while anxiety levels will be assessed with the Hamilton Anxiety Rating Scale.
MEDICINA-LITHUANIA
(2023)