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An assessment and analysis of musculoskeletal disorders (MSDs) of Odisha farmers in India

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Abstract

The prevalence of musculoskeletal disorders (MSDs) of farmers not only reduces their performance, efficiency but may also lead to more serious health consequences. The present study contributes in three phases in the assessment and analysis of MSDs of farmers in Odisha (India). In the first phase, a standardized nordic questionnaire was prepared to collect the information and data regarding name, gender, age, other personal characteristics, socio-demographic characteristics, work setting characteristics, and tools and equipment characteristics as the factors associated with the MSDs with a five point rating scale. The information was collected considering 2 years period i.e. from 2015 to 2017. Socio-demographic characteristics, work setting characteristics of farmers, and tools and equipment characteristics of farmers were illustrated to depict the MSDs level in different body parts like neck, shoulder, upper back, lower back, elbow, wrist/hand, thigh, knees and ankles, respectively. In the second phase, the harvesting postures are virtually built and the RULA analysis was used followed by the CATIA V5 software. The RULA scores obtained by assessment of each posture are discussed for necessary actions to be followed, for farmer’s safety and healthy working-environment. Finally in the third phase, the total interpretive structural modeling (TISM) methodology was used to deal with this complex study followed by MICMAC analysis.

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Source: McAtamney and Corlett (1993)

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Authors and Affiliations

  1. School of Mechanical Engineering, KIIT University, Bhubaneswar, 751024, India

    Debesh Mishra & Suchismita Satapathy

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  1. Debesh Mishra
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  2. Suchismita Satapathy
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Correspondence to Suchismita Satapathy.

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Appendix: Sample Questionnaire for Farmers in Harvesting

Appendix: Sample Questionnaire for Farmers in Harvesting

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Mishra, D., Satapathy, S. An assessment and analysis of musculoskeletal disorders (MSDs) of Odisha farmers in India. Int J Syst Assur Eng Manag 10, 644–660 (2019). https://doi.org/10.1007/s13198-019-00793-x

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  • DOI: https://doi.org/10.1007/s13198-019-00793-x

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