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Study on the health benefits of ozone simulation interventions for diabetes based on a prospective cohort
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Yin-ling BAI, Shao-kun YANG, Bing GUO, Xing ZHAO, Gong-hua WU, Ju-ying ZHANG
Modern Preventive Medicine | 2025, 52(1) : 155 - 159
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Modern Preventive Medicine | 2025, 52(1): 155-159
• Disease Control and Prevention •
Study on the health benefits of ozone simulation interventions for diabetes based on a prospective cohort
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Yin-ling BAI, Shao-kun YANG, Bing GUO, Xing ZHAO, Gong-hua WU, Ju-ying ZHANG
Affiliations
  • Department of Epidemiology and Health Statistics, West China School of Public Health / West China Fourth Hospital, Sichuan University, Chengdu, Sichuan 610041, China
Published: 2025-01-10 doi: 10.20043/j.cnki.MPM.202410106
Outline
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Objective

To quantify the health benefits of interventions targeting ozone exposure on diabetes prevalence under different strategies, providing scientific support for policies aimed at reducing atmospheric ozone levels to mitigate diabetes.

Methods

Utilizing questionnaire, physical examination data, and atmospheric data from a cohort of 16 607 participants in Chengdu, Southwest China, we employed a Logistic regression model to explore the association between ozone and diabetes risk. We simulated ratio interventions, fixed-value interventions, and threshold interventions for ozone concentration using the parametric G formula method to quantify the reduction in diabetes prevalence under each intervention strategy.

Results

An increase of 1 mg/m3 in ozone corresponded to an odds ratio (OR) of 1.07 (95%CI: 1.01-1.13). Reducing ozone concentration by 5%, controlling it at P50 (85.20 mg/m3), or lowering it to P75(86.12 mg/m3) or below could respectively reduce diabetes prevalence by 27.38% (23.47%-31.28%), 8.35% (4.01%-12.70%), and 10.50% (6.00%-15.01%).

Conclusion

Various strategies to intervene on ozone concentration can reduce diabetes prevalence, with ratio interventions showing the most significant effectiveness. Future measures should consider local ozone levels and comprehensively account for seasonal variations, regional differences, and pollution sources to implement interventions aimed at percentage reductions in overall ozone concentration, thereby reducing diabetes risk.

Ozone  /  Diabetes  /  Simulation intervention  /  G formula
白银铃, 杨绍坤, 郭冰, 赵星, 吴功华, 张菊英. 基于前瞻性队列的臭氧模拟干预对糖尿病的健康收益研究. 现代预防医学, 2025 , 52 (1) : 155 -159 . DOI: 10.20043/j.cnki.MPM.202410106
Yin-ling BAI, Shao-kun YANG, Bing GUO, Xing ZHAO, Gong-hua WU, Ju-ying ZHANG. Study on the health benefits of ozone simulation interventions for diabetes based on a prospective cohort[J]. Modern Preventive Medicine, 2025 , 52 (1) : 155 -159 . DOI: 10.20043/j.cnki.MPM.202410106
Year 2025 volume 52 Issue 1
49
25
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Article Info
doi: 10.20043/j.cnki.MPM.202410106
  • Receive Date:2024-10-10
  • Online Date:2026-10-29
  • Published:2025-01-10
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  • Received:2024-10-10
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    Department of Epidemiology and Health Statistics, West China School of Public Health / 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
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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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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