许宗锴, 魏彤, 韩泽, 王金麒, 金瑞, 刘悦, 武志远, 陈硕, 陶丽新. 北京市空气质量指数与人群肱踝脉搏波传导速度的关联[J]. 环境与职业医学, 2023, 40(8): 871-876. DOI: 10.11836/JEOM23036
引用本文: 许宗锴, 魏彤, 韩泽, 王金麒, 金瑞, 刘悦, 武志远, 陈硕, 陶丽新. 北京市空气质量指数与人群肱踝脉搏波传导速度的关联[J]. 环境与职业医学, 2023, 40(8): 871-876. DOI: 10.11836/JEOM23036
XU Zongkai, WEI Tong, HAN Ze, WANG Jinqi, JIN Rui, LIU Yue, WU Zhiyuan, CHEN Shuo, TAO Lixin. Association between air quality index and brachial-ankle pulse wave velocity in Beijing[J]. Journal of Environmental and Occupational Medicine, 2023, 40(8): 871-876. DOI: 10.11836/JEOM23036
Citation: XU Zongkai, WEI Tong, HAN Ze, WANG Jinqi, JIN Rui, LIU Yue, WU Zhiyuan, CHEN Shuo, TAO Lixin. Association between air quality index and brachial-ankle pulse wave velocity in Beijing[J]. Journal of Environmental and Occupational Medicine, 2023, 40(8): 871-876. DOI: 10.11836/JEOM23036

北京市空气质量指数与人群肱踝脉搏波传导速度的关联

Association between air quality index and brachial-ankle pulse wave velocity in Beijing

  • 摘要: 背景

    目前基于中国人群的空气污染与动脉硬化关联研究较少且结论不一致。各空气污染物间存在多重共线性问题。

    目的

    探讨北京市空气质量指数(AQI)与人群肱踝脉搏波传导速度(baPWV)的关联。

    方法

    本研究收集了2015年1月1日—2019年12月31日来自北京健康管理队列中60岁以下且尚未退休的2971例体检者的数据,体检者最新一次的体检数据用于分析。收集了2014年1月1日—2019年12月31日北京市35个空气污染监测点的AQI数据以及16个气象监测站的气象因素(气压、气温、风速和相对湿度)数据。采用反距离加权方法计算每个研究对象体检日期前365 d的平均AQI暴露水平。采用多重线性回归分析方法,调整年龄、性别、体重指数、平均动脉压、高密度脂蛋白胆固醇、低密度脂蛋白胆固醇、甘油三酯、空腹血糖、气压、气温、风速、相对湿度、糖尿病用药史、高血压用药史、心血管疾病患病情况、教育水平、吸烟状况、饮酒状况和体育锻炼强度等混杂因素,探究北京市AQI与人群baPWV的关联,并按年龄、性别、是否患糖尿病和是否患高血压进行亚组分析。

    结果

    研究期间,AQI整体呈现下降趋势,并且在北京市范围内呈现北部较低、南部较高的情况。调整全部混杂因素后,AQI每增加10,全人群baPWV增加6.18(95%CI:1.25~11.10)cm·s−1,年龄<50岁组baPWV增加8.05(95%CI:2.32~13.79)cm·s−1,女性组baPWV增加15.82(95%CI:8.33~23.31)cm·s−1,无糖尿病组baPWV增加10.10(95%CI:4.66~15.55)cm·s−1,无高血压组baPWV增加9.41(95%CI:4.21~14.62)cm·s−1,年龄≥50岁组、男性组、糖尿病组和高血压组中,AQI与baPWV的关联无统计学意义(P>0.05)。

    结论

    长期AQI水平的上升与动脉硬化程度的升高有关。<50岁、女性、未患高血压和未患糖尿病人群是在空气污染暴露下动脉硬化的易感人群。改善空气质量可能有助于预防动脉硬化。

     

    Abstract: Background

    Few studies have investigated the association between air pollution and arterial stiffness in Chinese population, and the findings are inconsistent. The problem of multicollinearity exists when modeling multiple air pollutants simultaneously.

    Objective

    To investigate potential association between air quality index (AQI) and population brachial-ankle pulse wave velocity (baPWV) in Beijing.

    Methods

    This study retrieved medical examination data of 2971 participants from the Beijing Health Management Cohort, who were under 60 years old and not yet retired, from January 1, 2015 to December 31, 2019. The most recent medical examination data available were utilized for this analysis. AQI data from 35 air pollution monitoring sites in Beijing and meteorological data (including atmospheric pressure, air temperature, wind speed, and relative humidity) from 16 meteorological monitoring stations from January 1, 2014 to December 31, 2019 were collected. An average AQI exposure level for 365 d before the date of physical examination for each participant was computed using inverse distance weighting. Multiple linear regression analysis was employed to investigate the relationship between AQI and baPWV in Beijing, after adjusting for confounding variables including age, gender, body mass index, mean arterial pressure, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, triglycerides, fasting blood glucose, atmospheric pressure, temperature, wind speed, relative humidity, medication history of diabetes, medication history of hypertension, cardiovascular disease, education, smoking status, drinking status, and physical activity intensity. Subgroup analysis was performed by age, sex, presence of diabetes, and presence of hypertension.

    Results

    AQI demonstrated an overall decreasing trend during the study period and was lower in the northern regions and higher in the southern regions of Beijing. After adjusting the confounding variables, each 10 unit increase in AQI was associated with 6.18 (95%CI: 1.25, 11.10) cm·s−1 increase in baPWV in all participants, 8.05 (95%CI: 2.32, 13.79) cm·s−1 increase in the participants <50 years, 15.82 (95%CI: 8.33, 23.31) cm·s−1 increase in the female group, 10.10 (95%CI: 4.66, 15.55) cm·s−1 increase in the participants without diabetes, and 9.41 (95%CI: 4.21, 14.62) cm·s−1 increase in the participants without hypertension. However, there was no statistically significant association observed between AQI and baPWV in the age group ≥50 years, the male group, the diabetic group, and the hypertensive group (P>0.05).

    Conclusion

    An increase in long-term AQI levels is associated with an elevation in the degree of arterial stiffness. Individuals under 50 years old, females, without hypertension or diabetes are susceptible populations to arterial stiffness when being exposed to air pollution. Improving air quality may contribute to prevent arterial stiffness.

     

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