محمدی, حیدر
3. دانشجوی دکتری تخصصی مهندسی بهداشت حرفه ای، گروه بهداشت حرفه ای، دانشگاه علوم پزشکی شهید بهشتی، تهران، ایران
[ 1 ] - ارزیابی حمل دستی بار در کارگاه های ریخته گری شهر همدان با استفاده از جداول اسنوک
Background and Aim: Casting workers are facing with ergonomics hazards such as overload in Manual Material Handling (MMH) tasks which expose them to risk of work-related musculoskeletal disorders (WMSDs). There are several methods to determine acceptable weight among which, Snook table is one of the oldest one. The aim of the study was to assess prevalence of WMSDs and to investigate MMH task...
[ 2 ] - Path analysis of occupational injuries based on the structural equation modeling approach: a retrospective study in the construction industry
Background and aims: The construction industry, sites, and projects are the most dangerous industries in terms of the risk of occupational accidents and injuries. Important factors that have led the industry as a health, safety, environment (HSE) high-risk industry in the world can be cited such as continuous changes in construction projects, using a lot of resources, poor working conditions,...
[ 3 ] - Factor Analysis of Risk Variables Affecting Occupational Injuries: A Field Study in Construction Projects
Background and Objective: Approximately, half of the occupational accidents are associated with the construction industry in Iran. Therefore, the factor analysis of risk variables affecting occupational injuries in the construction industry can lead to understanding and reducing the rate of injuries in these projects. The purpose of this study was to identify the risk factors affecting the type...
[ 4 ] - The survey of relationship between the sleep quality with cognitive failures and job performance among airport staff
Background and Objectives: Mental and physical fatigue of airport staff reduces their job standards and productive concentration. The objective of this study was to examine sleep quality and its effect on cognitive failure and job performance among airport staff. Methods: In this descriptive-analytical study, 200 staff of an airport were chosen by simple random sampling method. The data coll...
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