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CN 34-1304/RISSN 1674-3679

Volume 28 Issue 5
May  2024
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DU Yuanzhen, Tao Xinrong, ZOU Yuanjie, DING Yu, MU Min, CHEN Qianwei. Study on the relationship between insulin resistance and cardiovascular disease risk based on a coal mining population in Northern Shaanxi[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2024, 28(5): 566-573. doi: 10.16462/j.cnki.zhjbkz.2024.05.012
Citation: DU Yuanzhen, Tao Xinrong, ZOU Yuanjie, DING Yu, MU Min, CHEN Qianwei. Study on the relationship between insulin resistance and cardiovascular disease risk based on a coal mining population in Northern Shaanxi[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2024, 28(5): 566-573. doi: 10.16462/j.cnki.zhjbkz.2024.05.012

Study on the relationship between insulin resistance and cardiovascular disease risk based on a coal mining population in Northern Shaanxi

doi: 10.16462/j.cnki.zhjbkz.2024.05.012
Funds:

Joint Research Center for Occupational Medicine and Health of IHM, Anhui University of Science and Technology, Huainan, 232000, Supported by Research Funds of Joint Research Center for Occupational Medicine and Health of IHM) OMH-2023-20

The Open Research Grant of the Joint National-Local Engineering Research Centre for Safe and Precise Coal Mining EC2021008

The Collaborative Innovation Project of Colleges and Universities of Anhui Province GXXT-2022-065

More Information
  • Corresponding author: MU Min, E-mail: candymu@126.com; CHEN Qianwei, E-mail: 1026641788@qq.com
  • Received Date: 2024-01-16
  • Rev Recd Date: 2024-03-28
  • Available Online: 2024-06-05
  • Publish Date: 2024-05-10
  •   Objective  To investigate the relationship between insulin resistance (IR) and cardiovascular disease (CVD) risk in a population of miners.  Methods  The data were collected from a cross-sectional study of a group of coal miners in Northern Shaanxi Province between 2020 and 2023. TyG/TyG-BMI was developed to indicate insulin resistance in the body based on TG and FPG levels, while the Prediction for ASCVD Risk (PAR) was created to assess the risk of cardiovascular disease using factors including sex, age, waist circumference, blood pressure, cholesterol levels, smoking habits, medical history, and geographic location. BMI group: underweight group with BMI < 18.5 kg/m2, normal group with BMI ≤ 24.0 kg/m2, overweight group with BMI < 28.0 kg/m2 and obesity group with BMI≥28.0 kg/m2. The TyG and TyG-BMI variables were divided into three groups (T1, T2, and T3) according to their tertiles, with the T1 group serving as the reference group. To explore the association between insulin resistance and the risk of cardiovascular disease, a logistic regression model was employed.  Results  Totally 4 359 subjects were included. After adjusting for covariates, each unit increases in the TyG increased high PAR by 27.6%(OR=1.276, 95% CI: 1.193-1.365).The high PAR in the group with the TyG in T3 was 3.013 times of that in the group T1 (OR=3.013, 95% CI: 2.341-3.879). Sensitivity analysis and the subgroup analysis confirmed the stability of the association between the TyG and the PAR. In the general population, for every unit increase in the TyG as a continuous variable, the high PAR increased by 29.1%(OR=1.291, 95% CI: 1.171-1.422). As a categorical variable, the risk for high PAR in the T3 group was 3.658 times of that in the T1 group (OR=3.658, 95% CI: 2.550-5.247). In the hyperreconstituted population, for every unit increase in the TyG as a continuous variable, the risk for high PAR increase by 56.9% (OR=1.569, 95% CI: 1.402-1.756). As a categorical variable, the risk for high PAR in the T3 group was 5.610 times of that in the T1 group (OR=5.610, 95% CI: 3.753-8.386). In the obese population, for every unit increased in the TyG as a continuous variable, the high PAR increased by 47.5% (OR=1.475, 95% CI: 1.211-1.796). As a categorical variable, the risk for high PAR in the T3 group was 4.147 times of that in the T1 group (OR=4.147, 95% CI: 2.254-7.628). No statistically significant association existed between TyG and PAR in individuals with the obese population.  Conclusions  In coal mining populations, elevated levels of body insulin resistance strongly associates with an increased risk of developing cardiovascular disease. BMI may modulate this relationship. Early suppression of elevated levels of body insulin resistance, before the onset of overweight or obesity, may positively influence the prevention and control of atherosclerotic cardiovascular disease.
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