Background: In manufacturing industries, tasks requiring poor posture, high repetition, and long duration commonly induce fatigue and lead to an increased risk of work-related musculoskeletal disorders. Smart devices assessing biomechanics and providing feedback to the worker for correction may be a successful way to increase postural awareness, reducing fatigue, and work-related musculoskeletal disorders. However, evidence in industrial settings is lacking.
Objective: This study protocol aims to explore the efficacy of a set of smart devices to detect malposture and increase postural awareness, reducing fatigue, and musculoskeletal disorders.
Methods: A longitudinal single-subject experimental design following the ABAB sequence will be developed in a manufacturing industry real context with 5 workers. A repetitive task of screw tightening of 5 screws in a standing position into a piece placed horizontally was selected. Workers will be assessed in 4 moments per shift (10 minutes after the beginning of the shift, 10 minutes before and after the break, and 10 minutes before the end of the shift) in 5 nonconsecutive days. The primary outcomes are fatigue, assessed by electromyography, and musculoskeletal symptoms assessed by the Nordic Musculoskeletal Questionnaire. Secondary outcomes include perceived effort (Borg perceived exertion scale); range of motion of the main joints in the upper body, speed, acceleration, and deceleration assessed by motion analysis; risk stratification of range of motion; and cycle duration in minutes. Structured visual analysis techniques will be conducted to observe the effects of the intervention. Results for each variable of interest will be compared among the different time points of the work shift and longitudinally considering each assessment day as a time point.
Results: Enrollment for the study will start in April 2023. Results are expected to be available still in the first semester of 2023. It is expected that the use of the smart system will reduce malposture, fatigue, and consequently, work-related musculoskeletal pain and disorders.
Conclusions: This proposed study will explore a strategy to increase postural awareness in industrial manufacturing workers who do repetitive tasks, using smart wearables that provide real-time feedback about biomechanics. Results would showcase a novel approach for improving self-awareness of risk for work-related musculoskeletal disorders for these workers providing an evidence base support for the use of such devices.
International Registered Report Identifier (irrid): PRR1-10.2196/43637.
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http://dx.doi.org/10.2196/43637 | DOI Listing |
Children (Basel)
January 2025
Doctoral School of Biomedical Sciences, University of Oradea, 410087 Oradea, Romania.
Background/objectives: Musculoskeletal symptoms, such as neck pain, back pain, and eye strain, are prevalent in modern work environments, particularly among individuals engaged in prolonged sitting and repetitive tasks. This study aimed to explore the prevalence of these symptoms and the impact of ergonomic tool usage, break frequency, posture awareness, and proactive measures on symptom intensity and daily functioning.
Methods: This cross-sectional pilot study used a self-developed questionnaire to assess the prevalence and intensity of musculoskeletal symptoms among participants aged 6-18 years.
JMIR Aging
January 2025
Institute of Mathematics and Computer Sciences, University of São Paulo, São Carlos SP, Brazil.
Background: The prevalence of stroke is high in both males and females, and it rises with age. Stroke often leads to sensor and motor issues, such as hemiparesis affecting one side of the body. Poststroke patients require torso stabilization exercises, but maintaining proper posture can be challenging due to their condition.
View Article and Find Full Text PDFRecenti Prog Med
January 2025
Istituto Giano per le medical humanities.
Deciding what type of health professional to be: the postural profile that is assumed in the care relationship is born from this challenge. These postures have a profound impact on the way in which care for the patient and end-of-life decisions will be developed. Broadly speaking, we can distinguish five macro postural profiles: the scientistic posture (the natural sciences are the only guide for the professional); the vitalist posture (the goal of saving the patient's life at all costs); the specialist posture (fragmentation of care managed by multiple specialists); the philanthropic posture (in which empathetic closeness to the patient prevails); the conversational posture (care "with" the patient, not "on" him).
View Article and Find Full Text PDFBr J Gen Pract
January 2025
UCL, London, United Kingdom.
Background Antidepressants are associated with postural hypotension (PH), but it is not typically recognised as a common adverse effect. PH is linked with serious complications in older adults (e.g.
View Article and Find Full Text PDFSci Rep
January 2025
College of Intelligence and Computing, Tianjin University, Tianjin, 300000, China.
Falling is an emergency situation that can result in serious injury or even death, especially in the absence of immediate assistance. Therefore, developing a model that can accurately and promptly detect falls is crucial for enhancing quality of life and safety. In the field of object detection, while YOLOv8 has recently made notable strides in detection accuracy and speed, it still faces challenges in detecting falls due to variations in lighting, occlusions, and complex human postures.
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