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Assessment of Environmental and Occupational Stresses on Physiological and Genetic Profiles of Sample Population

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Proceedings of the 11th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2019) (SoCPaR 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1182))

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Abstract

Environmental and occupational stresses are one of the most prevalent health hazards in today’s workplace. Stressful working conditions have been linked from time to time to physical illness, low productivity, absenteeism, and increased rates of accidents. They have also been found associated with telomere length attrition and thus aging. This paper discusses the results achieved from a sample study of size 60 from two cities of India based on different industries such as road construction, sawmill, tire remolding, hotel and bakery. The profiles of samples are discussed in detail. Further, the effects of various parameters like smoking/alcoholism, increasing age, number of working years, working temperature, noise levels, light intensity, humidity levels on telomere length are discussed with the results achieved from the study. The study concludes with some strong correlations between these parameters and the telomere length.

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Correspondence to Sanjay Deshmukh .

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All procedures performed in this study involving human participants were in accordance with the ethical standards of University of Mumbai, the institute and the research committee of Department of Life Sciences where the research was carried out as part of the Ph.D work. Further, informed consent was obtained from all individual participants included in the study.

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Chandani, J.K., Gandhi, N., Deshmukh, S. (2021). Assessment of Environmental and Occupational Stresses on Physiological and Genetic Profiles of Sample Population. In: Abraham, A., Jabbar, M., Tiwari, S., Jesus, I. (eds) Proceedings of the 11th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2019). SoCPaR 2019. Advances in Intelligent Systems and Computing, vol 1182. Springer, Cham. https://doi.org/10.1007/978-3-030-49345-5_29

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