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Exploring Occupational Health and Safety Standards Compliance in the South African Mining Industry, Limpopo Province, Using Principal Component Analysis.

Livhuwani MutheloTebogo Maria MothibaNancy Rambelani MalemaMasenyani Oupa MbombiPeter Modupi Mphekgwana
Published in: International journal of environmental research and public health (2022)
The health and safety of the miners in the South African mining industry are guided by the regulations and standards applied to promote a healthy work environment. The miners must comply with these regulations/standards to protect themselves from potential occupational health and safety risks, accidents, and fatalities. The status of compliance to safety regulations and standards in the mining industry of Limpopo Province has received little attention from scholars. This study explores the practices related to occupational health and safety standards compliance in the mining industry. A total of 277 miners were randomly selected from 1300 respondents in the mining industry. Data were collected using a 31-item survey questionnaire, administered to miners to explore occupational health and safety standards compliance from December 2019 to May 2020. Principal Component Analysis (PCA) extracted key attributes of occupational health and safety standards compliance in the mining industry and uncovered relationships between different dimensions. The study revealed that seven factors could measure occupational health and safety standards practices. It was observed that Factor 1 (occupational health practice related to regulations) is correlated with Factor 2 (measures to reduce risk of injuries/accidents). Additionally, Factor 2 (measures to minimise the risk of injuries/accidents) is correlated with Factor 4 (impact of the environment and production). There is a correlation between non-compliance with the safety regulations and the occurrence of injuries and accidents.
Keyphrases
  • healthcare
  • public health
  • mental health
  • health information
  • south africa
  • primary care
  • human health
  • risk assessment
  • social media
  • working memory
  • big data
  • psychometric properties