首页|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

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

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目的 量化不同策略下干预臭氧对糖尿病患病的健康收益,为降低大气臭氧浓度以减少糖尿病的政策提供科学支持.方法 基于西南区域自然人群队列基线的16 607名成都市研究对象的问卷、体检数据和大气数据,使用logistic回归模型探究臭氧与糖尿病患病风险的关联,并采用参数G formula法模拟比值干预、定值干预和阈值干预臭氧浓度,量化各项干预策略下糖尿病患病率的降低程度.结果 臭氧每增加1 g/m3对应OR(95%CI)为1.07(1.01~1.13),将臭氧浓度降低5%、控制在P50(85.20 g/m3)或降低至P75(86.12 g/m3)及以下可分别减少27.38%(23.47%~31.28%)、8.35%(4.01%~12.70%)和10.50%(6.00%~15.01%)的糖尿病患病.结论 使用各种策略干预臭氧浓度均可减少糖尿病,其中比值干预效果较好,未来应基于当地臭氧浓度,综合考虑不同季节、地区和污染来源采取干预措施,按百分比降低整体的臭氧浓度,改善糖尿病患病风险.
Study on the health benefits of ozone simulation interventions for diabetes based on a prospective cohort
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.

OzoneDiabetesSimulation interventionG formula

白银铃、杨绍坤、郭冰、赵星、吴功华、张菊英

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四川大学华西公共卫生学院/华西第四医院,流行病与卫生统计学系,四川成都 610041

臭氧 糖尿病 模拟干预 G formula

2025

现代预防医学
中华预防医学会 四川大学华西公共卫生学院

现代预防医学

北大核心
影响因子:1.285
ISSN:1003-8507
年,卷(期):2025.52(1)