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CN 34-1304/RISSN 1674-3679

Volume 29 Issue 6
Jun.  2025
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LI Yanwen, YI Shiting, LUO Yingqi, CHEN Yingtong, DAI Yingshi, LIU Yanhui, CHEN Qingsong, JIANG Liuquan, LIU Gaisheng, WU Wei, CHEN Yingjun. Association between triglyceride glucose-body mass index and new-onset non-alcoholic fatty liver disease in coal miners: a retrospective cohort study[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2025, 29(6): 688-696. doi: 10.16462/j.cnki.zhjbkz.2025.06.010
Citation: LI Yanwen, YI Shiting, LUO Yingqi, CHEN Yingtong, DAI Yingshi, LIU Yanhui, CHEN Qingsong, JIANG Liuquan, LIU Gaisheng, WU Wei, CHEN Yingjun. Association between triglyceride glucose-body mass index and new-onset non-alcoholic fatty liver disease in coal miners: a retrospective cohort study[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2025, 29(6): 688-696. doi: 10.16462/j.cnki.zhjbkz.2025.06.010

Association between triglyceride glucose-body mass index and new-onset non-alcoholic fatty liver disease in coal miners: a retrospective cohort study

doi: 10.16462/j.cnki.zhjbkz.2025.06.010
Funds:

Coal Environmental Disease Prevention and Control Key Laboratory Project of the Ministry of Education MEKLCEPP/SXMU-202306

Guangzhou Basic and Applied Basic Research Scheme SL2023A04J02159

Guangzhou City-University (Institute)-Enterprise Joint Funding Project 2025A03J3722

More Information
  • Corresponding author: WU Wei, E-mail: wuw@gdiph.org.cn; CHEN Yingjun, E-mail: chenyingjun@gdpu.edu.cn
  • Received Date: 2024-12-27
  • Rev Recd Date: 2025-02-27
  • Available Online: 2025-07-07
  • Publish Date: 2025-06-10
  •   Objective  To explore the association between the trajectory of triglyceride glucose-body mass index (TyG-BMI) variations and the incidence of non-alcoholic fatty liver disease (NAFLD) in the coal miners.  Methods  We conducted a retrospective cohort study of 15 186 coal miners from Shanxi, China, who underwent at least four health check-ups between January 2, 2015 and December 29, 2023. The demographic, anthropometric, and biochemical data were collected. The group-based trajectory model was employed to identify four distinct TyG-BMI trajectory groups. The cumulative incidence of NAFLD across trajectory groups was compared using the Log-rank test, and Cox proportional hazards regression models were used to assess the association between TyG-BMI trajectories and NAFLD risk, adjusting for potential confounders.  Results  During the follow-up period of (5.56±1.96) years, the cumulative incidence of NAFLD in the overall population was 32.44%. The cumulative incidence of NAFLD in the low growth, moderate growth, high growth, and rapid growth TyG-BMI trajectory groups was 16.19%, 24.25%, 45.09%, and 68.78%, respectively, with significant statistical differences (all P < 0.001). Compared with the low growth group, the NAFLD risk in the moderate growth rate, high growth rate, and rapid growth rate groups increased by 0.435 times (HR=1.435, 95% CI: 1.299-1.584), 1.895 times (HR=2.895, 95% CI: 2.621-3.197), and 4.451 times (HR=5.451, 95% CI: 4.849-6.127), respectively (all P < 0.001). Subgroup analyses revealed a heightened risk of NAFLD among individuals under 40 years old, clerical staff, and those without hypertension exhibited rapid increases in TyG-BMI levels.  Conclusions  The trajectory of TyG-BMI levels is positively correlated with the risk of NAFLD, and a rapid increase in TyG-BMI serving as a significant risk factor for the disease′s onset. Continuous monitoring of TyG-BMI levels and timely interventions for individuals experiencing rapid increases may facilitate early prevention of NAFLD.
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