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A study on the association between estimated glucose disposal rate and metabolic syndrome in coal mining occupational populations
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Ze-yuan ZHANG1, Shi-ting YI1, Ying-shi DAI1, Qian WANG1, Si-tong LIN1, Hong-xia ZHAO2, Lin-hui PANG2, Ji-sheng NIE3, Xiao-hua YE1, Ying-jun CHEN1
Modern Preventive Medicine | 2026, 53(8) : 1392 - 1397
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Modern Preventive Medicine | 2026, 53(8): 1392-1397
• Environmental and Occupational Health •
A study on the association between estimated glucose disposal rate and metabolic syndrome in coal mining occupational populations
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Ze-yuan ZHANG1, Shi-ting YI1, Ying-shi DAI1, Qian WANG1, Si-tong LIN1, Hong-xia ZHAO2, Lin-hui PANG2, Ji-sheng NIE3, Xiao-hua YE1, Ying-jun CHEN1
Affiliations
  • Department of Epidemiology and Health Statistics, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, Guangdong 510000, China
Published: 2026-04-25 doi: 10.20043/j.cnki.MPM.202511026
Outline
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Objective

Analyzing and evaluating the association between estimated glucose disposal rate (eGDR) and metabolic syndrome (MetS) among coal miners.

Methods

A cross-sectional study design was employed, with 8 102 employees from coal mining groups who underwent occupational health examinations in 2023 serving as the study subjects. Individual eGDR values were calculated based on waist circumference, hypertension status, and glycated hemoglobin levels, with MetS defined according to the criteria outlined in the Chinese Guidelines for the Prevention and Treatment of Type 2 Diabetes (2020 Edition). Unconditional logistic regression models and restricted cubic spline (RCS) models were employed to investigate the association and dose-response relationship between eGDR and MetS, whilst also analyzing the interaction between eGDR and occupational factors on MetS.

Results

The mean age of enrolled employees was (48.7±5.4) years, with 2 932 individuals diagnosed with MetS (prevalence: 36.1%). Fully adjusted unconditional logistic regression analysis revealed that each standard deviation increases in eGDR (SD=2.23) reduced the risk of MetS to 0.52. The high eGDR group exhibited significantly lower MetS risk than the low eGDR group (OR=0.01), with no significant evidence of occupational factor interaction. RCS modeling revealed a strong nonlinear negative dose-response relationship between eGDR and MetS prevalence (P<0.001).

Conclusion

Among coal miners, eGDR exhibits a significant association with Mets, presenting a non-linear negative dose-response relationship, and no occupational factor interactions have been identified.

Estimated glucose disposal rate  /  Metabolic syndrome  /  Cross-sectional study  /  Coal miners  /  Interaction
张泽远, 易世婷, 戴颖诗, 王芊, 林思彤, 赵宏霞, 庞琳荟, 聂继盛, 叶小华, 陈颖君. 煤矿职业人群中预估葡萄糖处置率与代谢综合征的关联性研究. 现代预防医学, 2026 , 53 (8) : 1392 -1397 . DOI: 10.20043/j.cnki.MPM.202511026
Ze-yuan ZHANG, Shi-ting YI, Ying-shi DAI, Qian WANG, Si-tong LIN, Hong-xia ZHAO, Lin-hui PANG, Ji-sheng NIE, Xiao-hua YE, Ying-jun CHEN. A study on the association between estimated glucose disposal rate and metabolic syndrome in coal mining occupational populations[J]. Modern Preventive Medicine, 2026 , 53 (8) : 1392 -1397 . DOI: 10.20043/j.cnki.MPM.202511026
Year 2026 volume 53 Issue 8
21
10
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doi: 10.20043/j.cnki.MPM.202511026
  • Receive Date:2025-11-03
  • Online Date:2026-11-02
  • Published:2026-04-25
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  • Received:2025-11-03
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    Department of Epidemiology and Health Statistics, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, Guangdong 510000, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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