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Role of lipid metabolism in the association of atmospheric PM2.5 and NO2 with type 2 diabetes
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Yu-ling TANG1, Pan CHENG1, Kun TAN2, Xu HAN2, Ju-ying ZHANG1, Bing GUO1, Yuan-yuan LIU1, Yan DENG3, Huan XU1, Xing ZHAO1
Modern Preventive Medicine | 2025, 52(6) : 1024 - 1030
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Modern Preventive Medicine | 2025, 52(6): 1024-1030
Environmental and Occupational Health
Role of lipid metabolism in the association of atmospheric PM2.5 and NO2 with type 2 diabetes
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Yu-ling TANG1, Pan CHENG1, Kun TAN2, Xu HAN2, Ju-ying ZHANG1, Bing GUO1, Yuan-yuan LIU1, Yan DENG3, Huan XU1, Xing ZHAO1
Affiliations
  • Department of Epidemiology and Health Statistics, West China School of Public Health, Sichuan University/West China Fourth Hospital, Sichuan University, Chengdu, Sichuan 610041, China
Published: 2025-03-25 doi: 10.20043/j.cnki.MPM.202410252
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Objective

To investigate the association between long-term exposure to atmospheric pollutants (PM2.5 and NO2) and the risk of developing type 2 diabetes, and the mediating role of abnormal lipid metabolism in the association.

Methods

Based on a China Multi-Ethnic Cohort and data collected from 2018—2019 on 15 573 participants in Sichuan Province and hospital discharge data in Sichuan Province from 2018—2022. Logistic regression and Cox proportional risk model were used to investigate the two-by-two associations between PM2.5 and NO2, dyslipidemia, and type 2 diabetes; regression-based causal mediator model was used to explore the mediating role of dyslipidemia in the association between PM2.5 and NO2 and type 2 diabetes.

Results

For each 1 standard deviation (SD) increase in atmospheric PM2.5 and NO2 concentrations, the population Odds ratio (OR) (95% CI)for dyslipidemia was 1.042 (1.002-1.084) and 1.047 (1.003-1.093), respectively and the Hazard ratio (HR)(95% CI) for developing type 2 diabetes was 1.159 (1.044-1.288) and 1.330 (1.173-1.509), respectively. Patients with dyslipidemia had a higher risk of developing type 2 diabetes with a HR(95% CI) of 1.777 (1.418-2.227). Dyslipidemia partially mediated the association of chronic exposure to PM2.5 and NO2 on developing type 2 diabetes mellitus, with natural indirect effects HR (95% CI) of 1.004 (1.000 - 1.008) and 1.005 (1.000 - 1.010), respectively, corresponding to 3.1% and 2.0% of the total effect, respectively.

Conclusion

Long-term exposure to PM2.5 and NO2 was positively associated with dyslipidemia and increased risk of type 2 diabetes, and dyslipidemia partially mediated the association of air pollution on the risk of type 2 diabetes.

Type 2 diabetes  /  Air pollution  /  Lipid metabolism  /  Mediation analysis
Yu-ling TANG, Pan CHENG, Kun TAN, Xu HAN, Ju-ying ZHANG, Bing GUO, Yuan-yuan LIU, Yan DENG, Huan XU, Xing ZHAO. Role of lipid metabolism in the association of atmospheric PM2.5 and NO2 with type 2 diabetes[J]. Modern Preventive Medicine, 2025 , 52 (6) : 1024 -1030 . DOI: 10.20043/j.cnki.MPM.202410252
Year 2025 volume 52 Issue 6
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Article Info
doi: 10.20043/j.cnki.MPM.202410252
  • Receive Date:2024-10-17
  • Online Date:2026-03-18
  • Published:2025-03-25
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  • Received:2024-10-17
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    Department of Epidemiology and Health Statistics, West China School of Public Health, Sichuan University/West China Fourth Hospital, Sichuan University, Chengdu, Sichuan 610041, China
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表12种不同金属材料的力学参数

Family
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Number of
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Number of
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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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