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Associations of Individual-Related and Job-Related Risk Factors with Nonfatal Occupational Injury in the Coal Workers of Shanxi Province: A Cross-Sectional Study

Author

Listed:
  • Yan Cui
  • Shuang-Shuang Tian
  • Nan Qiao
  • Cong Wang
  • Tong Wang
  • Jian-Jun Huang
  • Chen-Ming Sun
  • Jie Liang
  • Xiao-Meng Liu

Abstract

Objectives: To assess the relationships between the risk factors and the incidence of nonfatal occupational injury of coal mine workers of Shanxi Province. Methods: A cross-sectional study was conducted from July 2013 to December 2013, and 4319 workers were recruited from more than 200,000 coal mine employees who are exposed to continuous potential risk of occupational injuries by using a two-stage stratified cluster sampling method. Trained interviewers having necessary medical knowledge conducted face-to-face interviews with the participants. Univariate and multivariable logistic regression models were used to estimate the odds ratio (OR) and the 95% confidence interval (CI). Results: A total number of 3618 effective respondents were got from 4319 participants (83.77%) and the mean age of the participants was 41.5 years with the standard deviation of 8.65. Significant crude odds ratios were observed for all factors considered except for marital status, education, work duration, BMI, EPQ-RSC(P) scale and EPQ-RSC(L) scale. Results from multivariable logistic regression model showed significant adjusted odds ratios for risk factors including gender (female vs male 0.275, 0.094–0.800), age (≥55 vs ≤25yr 0.169, 0.032–0.900), work type (light physical labor vs heavy physical labor 0.504, 0.328–0.774), workplace (underground auxiliary vs underground front-line 0.595, 0.385–0.919), length of shiftwork experience (0~5yr vs no shift 2.075, 1.287–3.344 and ≥15yr vs no shift 2.076, 1.230–3.504) and EPQ-RSC(E) score (extraversion vs introversion 0.538, 0.334–0.867). Conclusions: Several risk factors of nonfatal occupational injury were identified including male, age, heavy physical labor, underground front-line, length of shiftwork experience and introversion. The coal mining enterprises should pay attention to controlling the hazards associated with frontline physical work. Workers’ behaviors, life styles and personality traits should also be considered, so that the enterprises could set achievable targets for workers and lessen the exposed period to the risky underground workstation.

Suggested Citation

  • Yan Cui & Shuang-Shuang Tian & Nan Qiao & Cong Wang & Tong Wang & Jian-Jun Huang & Chen-Ming Sun & Jie Liang & Xiao-Meng Liu, 2015. "Associations of Individual-Related and Job-Related Risk Factors with Nonfatal Occupational Injury in the Coal Workers of Shanxi Province: A Cross-Sectional Study," PLOS ONE, Public Library of Science, vol. 10(7), pages 1-13, July.
    • Handle: RePEc:plo:pone00:0134367
    DOI: 10.1371/journal.pone.0134367
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    References listed on IDEAS

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    1. Mery Gonzalez-Delgado & Héctor Gómez-Dantés & Julián Alfredo Fernández-Niño & Eduardo Robles & Víctor H Borja & Miriam Aguilar, 2015. "Factors Associated with Fatal Occupational Accidents among Mexican Workers: A National Analysis," PLOS ONE, Public Library of Science, vol. 10(3), pages 1-19, March.
    2. Rajagopal, 2014. "The Human Factors," Palgrave Macmillan Books, in: Architecting Enterprise, chapter 9, pages 225-249, Palgrave Macmillan.
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    1. Jin Tian & Yundou Wang & Shutian Gao, 2022. "Analysis of Mining-Related Injuries in Chinese Coal Mines and Related Risk Factors: A Statistical Research Study Based on a Meta-Analysis," IJERPH, MDPI, vol. 19(23), pages 1-16, December.
    2. Wei Zhang & Dongxiao Gu & Yuguang Xie & Aida Khakimova & Oleg Zolotarev, 2023. "How Do COVID-19 Risk, Life-Safety Risk, Job Insecurity, and Work–Family Conflict Affect Miner Performance? Health-Anxiety and Job-Anxiety Perspectives," IJERPH, MDPI, vol. 20(6), pages 1-21, March.
    3. Kampanat Wangsan & Naesinee Chaiear & Kittisak Sawanyawisuth & Piyanee Klainin-Yobas & Kanjana Simajareuk & Watchara Boonsawat, 2022. "Which Shiftwork Pattern Is the Strongest Predictor for Poor Sleep Quality in Nurses?," IJERPH, MDPI, vol. 19(21), pages 1-7, October.
    4. Qingwei Xu & Kaili Xu, 2020. "Statistical Analysis and Prediction of Fatal Accidents in the Metallurgical Industry in China," IJERPH, MDPI, vol. 17(11), pages 1-20, May.
    5. Chali ETEFA & Idris YEBA & Girma DEFERE, 2017. "Socio-Economic And Work -Related Safety Conditions Of Coal Mine Workers: The Case Of Achibo-Sombo Coal Mining Site," Annals of the University of Craiova for Journalism, Communication and Management, Department of Communication, Journalism and Education Sciences, University of Craiova, vol. 3(1), pages 106-143, August.

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