Publications by authors named "D Colombini"
Many investigations of biomechanical overload concentrate on upper limbs and manual handling: certain jobs require an evaluation on spinal and lower limb postures. While existing methodologies adequately describe postures, they often poorly consider the organisation. This shortcoming prompted the development of TACOs for spinal and lower limb postures, using organisational factors to adjust the risk indexes.
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- The Latin Questionnaire is a new tool designed to study work-related musculoskeletal disorders using structured questions and a severity threshold, which helps in conducting epidemiological comparisons between affected and control populations.
- The study aims to improve the assessment of symptoms like discomfort and pain by detailing their characteristics and distinguishing between different anamnestic cases.
- Results show that the questionnaire effectively reveals significant differences in disorder prevalence among workers exposed to risks compared to a reference group, and it is available for free in a digital format for easy access and analysis.
Introduction: Health surveillance programs conducted for both individual workers and working populations as a whole are managed by occupational health physicians and focus on disorders and diseases caused by biomechanical overload, primarily for preventive purposes.
Objectives: The purpose of the paper is to update an anamnestic protocol for studying musculoskeletal disorders after more than 40 years experience of its application. The updated version has been re-named the Latin Questionnaire.
We are writing in regards to Armstrong et al`s recent discussion paper (1), which addresses the scientific basis of ISO standards on biomechanical risk factors and more specifically the OCRA methodology. The paper comments on the ISO's working methods, but it will be up to the ISO to respond if it sees fit to do so. As the authors of the OCRA method, we wish to respond in a individual capacity.
View Article and Find Full Text PDFObjective: We seek to develop a new approach for analyzing the physical demands of highly variable lifting tasks through an adaptation of the Revised NIOSH (National Institute for Occupational Safety and Health) Lifting Equation (RNLE) into a Variable Lifting Index (VLI).
Background: There are many jobs that contain individual lifts that vary from lift to lift due to the task requirements. The NIOSH Lifting Equation is not suitable in its present form to analyze variable lifting tasks.