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Purpose: Preventing the progression of occupational low back pain (LBP) is a critical occupational safety and health concern, alongside reducing its incidence. Manual handling of heavy loads may increase LBP severity. This study investigates the impact of lifting and carrying weights on LBP severity in affected workers.
Methods: A total of 2418 cases of acute occupational LBP, each resulting in more than four days of absence from work, were analyzed. These cases, reported as industrial accidents in Japan 2018-2019, were categorized into four weight-handling groups: < 10, 10-20, 20-30, and ≥ 30 kg. LBP severity was defined based on the duration of work absence, as determined by a physician's diagnosis at the onset, and was categorized into four groups: 4-7, 8-14, 15-30, and ≥ 31 days. Multinomial logistic regression analysis was conducted to assess the relationship between handling weights and absence duration.
Results: The odds ratio (OR) for absence of ≥ 31 days compared with 4-7 days increased with heavier handling weights. Notably, workers handling 30 kg or more weights had a significantly higher OR than those under 10 kg (OR: 1.75; 95% CI: 1.11-2.77). The ORs for absence of 8-14 and 15-30 days compared with 4-7 days showed no significant association with handling weight.
Conclusion: Lifting and carrying heavier loads were associated with increased LBP severity and prolonged work absences. Minimizing manual handling loads may be a practical strategy to reduce the severity of acute occupational LBP and prevent prolonged work absences.
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http://dx.doi.org/10.1007/s00420-025-02148-5 | DOI Listing |
J Food Sci
September 2025
Faculty of Computing, Federal University of Uberlandia, Uberlândia, Brazil.
The coffee roasting process is a critical factor in determining the final quality of the beverage, influencing its flavour, aroma, and acidity. Traditionally, roast-level classification has relied on manual inspection, which is time-consuming, subjective, and prone to inconsistencies. However, advancements in machine learning (ML) and computer vision, particularly convolutional neural networks (CNNs), have shown great promise in automating and improving the accuracy of this process.
View Article and Find Full Text PDFJAMIA Open
October 2025
Division of Pulmonary and Critical Care, Brigham and Women's Hospital, Boston, MA, United States.
Objectives: Unstructured data, such as procedure notes, contain valuable medical information that is frequently underutilized due to the labor-intensive nature of data extraction. This study aims to develop a generative artificial intelligence (GenAI) pipeline using an open-source Large Language Model (LLM) with built-in guardrails and a retry mechanism to extract data from unstructured right heart catheterization (RHC) notes while minimizing errors, including hallucinations.
Materials And Methods: A total of 220 RHC notes were randomly selected for pipeline development and 200 for validation from the Pulmonary Vascular Disease Registry.
Pestic Biochem Physiol
November 2025
Department of Entomology and Nematology, Emerging Pathogens Institute, University of Florida, Gainesville, FL 32610, USA. Electronic address:
The global rise of mosquito-borne diseases and widespread resistance to existing insecticides highlight the urgent need for novel, field-relevant mosquitocides. Here, we report the development and validation of a high-throughput, in vivo screening assay capable of evaluating adult mosquito toxicity across large chemical libraries. Utilizing a 96-well plate format, this assay enables simultaneous testing of hundreds of compounds per run using both net and filter paper substrates, with direct measurement of adult mosquito knockdown and mortality via tarsal contact - an exposure route highly relevant to real-world vector control tools such as long-lasting insecticide-treated nets (LLINs) and indoor residual spraying (IRS).
View Article and Find Full Text PDFSpecific protein detection plays a crucial role in biological analysis and clinical diagnostics, serving as an essential tool for disease diagnosis, therapeutic monitoring, and biological research. However, conventional methods such as immunofixation electrophoresis (IFE) and western blotting (WB) suffer from complex workflows, time-consuming operations, and limited quantification capabilities owing to intricate staining and de-staining procedures. In addition, these traditional immunological detection methods require extensive manual handling and specialized expertise, while low levels of automation restrict their applicability to high-throughput or large-scale analysis scenarios.
View Article and Find Full Text PDFScience
September 2025
Department of Neuroscience, Northwestern University, Chicago, IL, USA.
The unguis (hoof, claw, or nail) of the first digit (D1, also known as the thumb or pollex) of the tetrapod hand exhibits numerous functional adaptations, but its macroevolutionary association with ecological diversity is unknown. Across Rodentia, we find that most extant genera and ancestral lineages bear D1 nails. Exceptions follow structure-function associations that arose independently multiple times, specifically, the gain of D1 claws with subterranean habits and the loss of D1 ungues with oral-only feeding behavior.
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