Department of Geography & GIS
Geo-Eye
DOI: 10.53989/bu.ge.v14.i1.24.34
Year: 2025, Volume: 14, Issue: 1, Pages: 21-28
Original Article
P Murali1∗, S Balaselvakumar2, S Vadivel2, T Pavendar2
1Guest Lecturer, Post Graduate and Research Department of Geography, Thanthai Periyar Government Arts and Science College (Autonomous), (Affiliated to Bharathidasan University), Tiruchirappalli, Tamil Nadu, India
2Associate Professor, Post Graduate and Research Department of Geography, Thanthai Periyar Government Arts and Science College (Autonomous), (Affiliated to Bharathidasan University),Tiruchirappalli, Tamil Nadu, India
*Corresponding Author
Email: [email protected]
Received Date:16 November 2025, Accepted Date:10 October 2025
The objective of the study is to measure the causal relationship of occupational health issues of solid waste management workers working in the south zone of Coimbatore Corporation. The information was collected through the questionnaire schedule from the 300 sanitary workers working in the south zone of Coimbatore Corporation by stratified random sampling method. These variables are vital factors in determining the occupational status of sanitary workers in this study area. The results of the Structural Equation Model (SEM) of sanitary workers' data set suit the fit indices and the proposed hypothesis causal model relationships are acceptable fit by the recommended values. The structural equation model demonstrates that the variables namely behaviour of alcoholism, visiting the hospital, job satisfaction, accessibility to the workplace, health problems, public prejudice, occupational security and insufficiency of equipment are the occupational issues of sanitary workers in the study area. The scale used in this study adequately fits into the data collected and it concludes that the hypothesized thirteen assumptions model fits the collected sample data. As a result, the likelihood and statistical association of essential variables estimate, the good fit of the structural model and represent an adequate description of sanitary workers indicators support the model fit.
Keywords: Occupational Health, Solid Waste, SEM, Path Analysis
© 2025 Murali et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Published By Bangalore University, Bengaluru, Karnataka
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