Ergonomic Evaluation of Post Biomechanical Effects of Lifting Maximum Loads Using Male Subjects

Sesan Peter Ayodeji *

Department of Mechanical Engineering, Federal University of Technology, Akure, P.M.B. 704, Akure 340252, Nigeria.

Osayi Richard Idada

Department of Mechanical Engineering, University of Benin, Benin City, 300213, Nigeria

Basil Olufemi Akinnuli

Department of Mechanical Engineering, Federal University of Technology, Akure, P.M.B. 704, Akure 340252, Nigeria

*Author to whom correspondence should be addressed.


Abstract

The post biomechanical effects of performing lifting tasks using male subjects was investigated to know the body parts most disposed to pains and the degree of pains and injuries that occur as a result of lifting maximum loads. A field approach was adopted involving six industries performing different kinds of lifting tasks. A questionnaire showing a body discomfort chart was administered to 209 respondents. The data collected were analyzed using descriptive statistics to determine the mean and standard deviation while Kaiser’s rule of retaining factors were used in determining the most affected body parts predisposed to discomfort and to analyze workload assessments. High values were reported for thigh discomfort. Shoulder discomforts were significantly prevalent while most respondents reported discomforts in the mid to lower back regions. 51% of the respondents consider their work to be hard while 23% consider their work very hard. The average mass of materials lifted in the study is 32 kg. The average age, height and weight of subjects are 26.24 years, 169.59 cm and 65.08 kg respectively. Subjects involved in lifting maximum loads are prone to shoulder tendinitis and could suffer spinal kyphosis and spinal lordosis.

Keywords: Ergonomics, biomechanics, maximum loads, male subjects


How to Cite

Ayodeji, Sesan Peter, Osayi Richard Idada, and Basil Olufemi Akinnuli. 2015. “Ergonomic Evaluation of Post Biomechanical Effects of Lifting Maximum Loads Using Male Subjects”. Current Journal of Applied Science and Technology 7 (3):295-301. https://doi.org/10.9734/BJAST/2015/15743.

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