Hou Zhuomin, Wang Yongbin, Chen Zhigang, Sun Siyu, Xie Na, Chen Yingen, Wang Lujie, Lin Fei, Zhao Guoan
Department of Cardiology, The First Affiliated Hospital of Xinxiang Medical University, Weihui, China.
Department of Epidemiology and Health Statistics, School of Public Health, Xinxiang Medical University, Xinxiang, China.
Front Endocrinol (Lausanne). 2024 Dec 3;15:1482063. doi: 10.3389/fendo.2024.1482063. eCollection 2024.
Environmental factors have been identified as primary risk factors for type 2 diabetes mellitus (T2DM). However, studies on the association between environmental factors and T2DM have mainly focused on morbidity and mortality, which do not fully reflect the disease burden stemming from air pollution. Therefore, we aimed to evaluate the correlation between air pollution and T2DM, including hospital length of stay (LOS) and costs.
We collected data on patients with T2DM from three healthcare institutions in Xinxiang from 2016-2021. Data on particulate and gaseous pollutants in Xinxiang and daily meteorological data were collected from national databases. The distribution lag nonlinear model was used to evaluate the correlation between air pollution and the number of inpatients with T2DM, LOS, and hospital costs. Subgroup analyses were conducted to identify potential modifying factors.
Overall, 13,797 patients with T2DM were included in our analysis. Within the cumulative lag of 7 days, with every increase of 1 mg/m of carbon monoxide (CO) and 10 μg/m of 2.5 microns particulate matter, nitrogen dioxide and ozone exhibited significant associations with an increase in diabetes hospitalization risk. CO exhibited adverse effects on LOS on most lag days. Moreover, hospital costs were significantly associated with the attributable fraction of LOS and hospital costs attributed to diabetes.
Exposure to air pollutants increased T2DM risk, imposing significant economic and social burdens in Xinxiang, China. Implementing policies to reduce air pollutant exposure may decrease T2DM admissions, costs, and LOS.
环境因素已被确定为2型糖尿病(T2DM)的主要危险因素。然而,关于环境因素与T2DM之间关联的研究主要集中在发病率和死亡率上,这并未充分反映空气污染所带来的疾病负担。因此,我们旨在评估空气污染与T2DM之间的相关性,包括住院时长(LOS)和费用。
我们收集了2016年至2021年来自新乡市三家医疗机构的T2DM患者的数据。新乡市的颗粒物和气态污染物数据以及每日气象数据均从国家数据库中收集。采用分布滞后非线性模型评估空气污染与T2DM住院患者数量、LOS和住院费用之间的相关性。进行亚组分析以确定潜在的修正因素。
总体而言,我们的分析纳入了13797例T2DM患者。在7天的累积滞后时间内,一氧化碳(CO)每增加1mg/m³以及2.5微米颗粒物每增加10μg/m³,二氧化氮和臭氧与糖尿病住院风险增加呈现出显著相关性。在大多数滞后天数中,CO对LOS有不利影响。此外,住院费用与LOS的归因分数以及糖尿病所致的住院费用显著相关。
暴露于空气污染物会增加T2DM风险,给中国新乡市带来重大的经济和社会负担。实施减少空气污染物暴露的政策可能会降低T2DM的入院率、费用和LOS。