Correlation Study Between Occupational Hazardous Factor Exposome and Bone Mineral Density Abnormality in Steelworkers

Author:

Zhang Haoruo1,Zheng Ziwei1,Wang Nan1,Li Zheng1,Zhang Shangmingzhu1,Su Yu1,Wu Jianhui1

Affiliation:

1. North China University of Science and Technology

Abstract

Abstract

Objectives To investigate associations among occupational hazardous factor exposure groups and bone mineral density (BMD) abnormalities in steelworkers, by analyzing correlation between various occupational hazardous factors (night-shift work, high temperature, dust and noise) and BMD abnormalities. Methods A total of 6816 participants were recruited for this study. Night-shift work, high temperature, dust and noise was taken as occupational hazardous factors, analyzed as a unique factor by each and as an exposome together. Health risk factor score and partial regression coefficient were used to establish a single risk score exposure group model and a hybrid risk score exposure group model. Results Detection rate of abnormal BMD in steelworkers was 27.6%, of which 28.0% in males and 23.3% in females. Single risk score model showed, compared with the control group (score <0.440), steelworkers with scores of 0.440~, 0.778~, and ≥1.078 had a abnormal BMD risk of 1.252 (1.034~1.516) folds, 1.534 (1.253~1.878) times, and 2.234 (1.808~2.759) times. Combined risk score model showed that, compared with the reference group(score<0.366), steelworkers with a score in 0.366~, 0.621~, and ≥0.872 were 1.167 (0.969~1.405) times, 1.470 (1.205~1.794) times, and 2.136 (1.738~2.626) times, respectively. Conclusions 1 Night-shift work, high temperature, dust, and noise may contribute to BMD abnormality in steelworkers. 2 The higher the corresponding risk score of the occupational hazardous factor exposome, the higher the risk of BMD abnormality in steelworkers. When workers are exposed to multiple occupational hazards at the same time, constructing an exposome could reveal the relationship between occupational hazardous factors and BMD abnormality in steelworkers more accurately.

Publisher

Research Square Platform LLC

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