(1) Background: Musculoskeletal disorders (MSDs), discomfort, fatigue, pain, and other acute and chronic work-related injuries are common among dental clinicians. Hand instruments constitute a primary risk factor for these conditions. The overall goal of this study was to compare in dental hygienists with healthy hands, and in those with MSDs, the effect of three different handle designs on instrumentation-related muscle work, comfort, fatigue, and quality of tactile feedback. (2) Methods: Clinicians tested three periodontal curettes: one with a novel adaptive silicone handle, another with a rigid resin handle, and the third with a rigid silicone handle. Ten hygienists-five with MSDs and five without-each scaled three typodonts using the three different curettes. Statistical analysis was performed using a General Linear Model (GLIM) and Tukey's post hoc test, and a significance level of < 0.05 was implemented. (3) Results: On average, mean comfort and fatigue across all instruments were significantly worse in testers with MSDs, who also expended significantly more work to complete the same task. In all testers, a novel adaptive handle design was associated with significantly reduced total muscle work and post-instrumentation fatigue, as well as better comfort than conventional rigid handle designs. (4) Conclusions: An adaptive curette handle design demonstrated significantly better ergonomic outcomes than conventional rigid curette handle designs. Hygienists with MSDs expend significantly more muscle work during dental instrumentation.
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http://dx.doi.org/10.3390/dj12080253 | DOI Listing |
Sci Rep
January 2025
School of Computer Science, Hunan First Normal University, Changsha, 410205, China.
Retinal blood vessels are the only blood vessels in the human body that can be observed non-invasively. Changes in vessel morphology are closely associated with hypertension, diabetes, cardiovascular disease and other systemic diseases, and computers can help doctors identify these changes by automatically segmenting blood vessels in fundus images. If we train a highly accurate segmentation model on one dataset (source domain) and apply it to another dataset (target domain) with a different data distribution, the segmentation accuracy will drop sharply, which is called the domain shift problem.
View Article and Find Full Text PDFJMIR Res Protoc
January 2025
Brain Injury Research Center, Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Background: Alzheimer disease and related dementias (ADRDs) are increasingly common progressive conditions that have a substantial impact on individuals and their primary care partners-together described as a dyad. The stressors experienced by dyad members at around the time of ADRD diagnosis commonly produce clinically elevated emotional distress (ie, depression and anxiety symptoms), which can become chronic and negatively impact health, relationships, and the overall quality of life. Dyads commonly report unmet needs for early support to address these challenges early after diagnosis.
View Article and Find Full Text PDFComput Methods Programs Biomed
January 2025
School of Computer Science and Technology, Shandong Technology and Business University, Yantai 264005, China; Shandong Future Intelligent Financial Engineering Laboratory, Yantai 264005, China. Electronic address:
Background And Objective: Medical image segmentation is a technique used to identify and locate anatomical structures or diseased areas from medical images with high accuracy. Accurate image segmentation is crucial in medical applications such as clinical diagnosis, surgical planning, and treatment monitoring. It provides reliable quantitative information, which helps in making decisions.
View Article and Find Full Text PDFJ Cheminform
January 2025
Department of Life Science Informatics and Data Science, B-IT, LIMES Program Unit Chemical Biology and Medicinal Chemistry, University of Bonn, Friedrich-Hirzebruch-Allee 5/6, 53115, Bonn, Germany.
Analogue series (AS) are generated during compound optimization in medicinal chemistry and are the major source of structure-activity relationship (SAR) information. Pairs of active AS consisting of compounds with corresponding substituents and comparable potency progression represent SAR transfer events for the same target or across different targets. We report a new computational approach to systematically search for SAR transfer series that combines an AS alignment algorithm with context-depending similarity assessment based on vector embeddings adapted from natural language processing.
View Article and Find Full Text PDFReprod Health
January 2025
Department of Global Health, University of Warwick, Coventry, UK.
Objectives: The research objectives were to identify and synthesise prevailing definitions and indices of resilience in maternal, newborn, and child health (MNCH) and propose a harmonised definition of resilience in MNCH research and health programmes in low- and middle-income countries (LMICs).
Design: Scoping review using Arksey and O'Malley's framework and a Delphi survey for consensus building.
Participants: Mothers, new-borns, and children living in low- and middle-income countries were selected as participants.
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