Musculoskeletal Discomforts in Body Posture of Computer Users: A Quantitative Analysis

In recent times, computer has become a common tool that is being used by almost every individual from various field of human endeavor. This is due to the fact that computer offer a lot of different services and facilities to help the users to perform and complete the task s more efficient and effective. A variety of sectors including banks, government offices, private entities, autonomous institutions etc. Have computerized their data systems for smooth and faster flow of information. Injuries due to the usage of computer system have been recognized worldwide and several actions that involved repetitive or forceful movements and the maintenance of constrained or awkward postures have also been associated with musculoskeletal visor der. Work- related musculoskeletal disorders have been found to be associated with numerous occupational risk fact ores including physical work load factors such as force, posture, movement and vibration , psychosocial stressors and individual factors. This study illustrates the idea of understanding how demographic structure (gender, age, height, and weight) physical and psychosocial job characteristics, computer usage , office ergonomics, symptoms of Work- related musculoskeletal disorders , perceived musculoskeletal discomfort types and their frequencies may affect formation of musculoskeletal disorders in the computer users. This study was conducted on a survey of questionnaires among computer users and applied a rigorous research methodology to treat the survey data. From an extensive re view of the literature in the field of computer users and their musculoskeletal disorder & body posture, 16 musculoskeletal disorders and 6 major outcomes were identified. A questionnaire survey instrument was developed, reliability of the questionnaire were tested using data from 3000 participants. The data was analysed using Reliability analysis, Pearson’s correlation. It was concluded finally that the instrument presented in this paper was reliable and valid. Researchers will be able to use this for body posture analysis and gait analysis