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空气污染暴露与高血压发病风险的关联:基于英国生物银行的队列研究

付苹 李吉庆 司书成 张凯 刘晓雯 季晓康 薛付忠

付苹, 李吉庆, 司书成, 张凯, 刘晓雯, 季晓康, 薛付忠. 空气污染暴露与高血压发病风险的关联:基于英国生物银行的队列研究[J]. 中华疾病控制杂志, 2022, 26(10): 1229-1234. doi: 10.16462/j.cnki.zhjbkz.2022.10.020
引用本文: 付苹, 李吉庆, 司书成, 张凯, 刘晓雯, 季晓康, 薛付忠. 空气污染暴露与高血压发病风险的关联:基于英国生物银行的队列研究[J]. 中华疾病控制杂志, 2022, 26(10): 1229-1234. doi: 10.16462/j.cnki.zhjbkz.2022.10.020
FU Ping, LI Ji-qing, SI Shu-cheng, ZHANG Kai, LIU Xiao-wen, JI Xiao-kang, XUE Fu-zhong. Association between exposure to air pollution and the risk of hypertension: a cohort study based on UK Biobank[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2022, 26(10): 1229-1234. doi: 10.16462/j.cnki.zhjbkz.2022.10.020
Citation: FU Ping, LI Ji-qing, SI Shu-cheng, ZHANG Kai, LIU Xiao-wen, JI Xiao-kang, XUE Fu-zhong. Association between exposure to air pollution and the risk of hypertension: a cohort study based on UK Biobank[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2022, 26(10): 1229-1234. doi: 10.16462/j.cnki.zhjbkz.2022.10.020

空气污染暴露与高血压发病风险的关联:基于英国生物银行的队列研究

doi: 10.16462/j.cnki.zhjbkz.2022.10.020
基金项目: 

国家重点研发计划 2020YFC2003500

详细信息
    通讯作者:

    季晓康, E-mail: jxk@sdu.edu.cn

    薛付忠, E-mail: xuefzh@sdu.edu.cn

  • 中图分类号: R544.1

Association between exposure to air pollution and the risk of hypertension: a cohort study based on UK Biobank

Funds: 

National Key Research and Development Program of China 2020YFC2003500

More Information
  • 摘要:   目的  研究NO2、NOx、PM10、PM2.5和PM2.5-10等空气污染物与高血压发病风险的关系,为预防高血压提供参考。  方法  基于英国生物银行(UK Biobank,UKB)数据库构建随访队列,采用Cox风险比例回归模型进行关联分析,分别研究空气污染物年平均浓度和空气污染物日累积暴露量与高血压发病风险的关联。此外,本研究还创建了空气污染物的累积暴露加权评分以评估几种空气污染物联合暴露与高血压发病风险的关系。  结果  Cox比例风险回归模型结果显示,只有NOx的年平均浓度可以增加高血压发病风险。NO2、NOx、PM10、PM2.5和PM2.5-10日累积暴露量每增长50 μg/m3·day,HRs(95% CI)值分别为1.06(1.04~1.08)、1.03(1.02~1.04)、1.11(1.07~1.14)、1.18(1.12~1.24)和1.26(1.17~1.37)。空气污染物的累积暴露加权评分与高血压风险呈正向的剂量-反应关系(P < 0.001)。  结论  长期暴露于包括PM2.5、PM10、PM2.5-10、NO2和NOx在内的空气污染物中,无论是暴露于单一污染物还是多种污染物,都与高血压发病风险增加相关。本研究强调了全面评估各种空气污染物对于预防高血压的重要性。
  • 图  1  研究对象纳入排除流程图

    Figure  1.  The flowchart of enrollment of participants in the present study

    表  1  研究对象的基线特征[n(%)]

    Table  1.   Baseline characteristics of the participants included in this study [n(%)]

    基线特征 高血压事件 P
    否(n=163 406) 是(n=7 787)
    年龄(x±s, 岁) 53.55±8.02 59.49±7.33 < 0.001
    男性 62 413(38.20) 4 234(54.44) < 0.001
    BMI(x±s, kg/m2) 25.88±4.05 28.23±4.82 < 0.001
    SBP(x±s, mm Hg) 123.71±10.03 126.52±9.71 < 0.001
    DBP(x±s, mm Hg) 75.30±7.27 75.71±7.79 < 0.001
    Townsend剥夺指数 -1.42±2.99 -0.85±3.27 < 0.001
    吸烟状况 < 0.001
      从不 94 349(57.74) 3 284(42.17)
      以前 50 724(31.04) 3 276(42.08)
      现在 18 333(11.22) 1 227(15.76)
    饮酒状况 < 0.001
      从不 6 343(3.88) 481(6.18)
      以前 5 383(3.29) 431(5.53)
      现在 151 680(92.82) 6 875(88.29)
    白人 147 412(90.21) 7 045(90.47) 0.464
    糖尿病 677(0.41) 388(4.98) 0.001
    健康饮食评分 2.77±0.90 2.81±0.86 < 0.001
      NO2(x±s, μg/m3) 26.71±7.74 27.24±7.76 < 0.001
      NOx(x±s, μg/m3) 43.98±15.66 45.34±16.54 < 0.001
      PM10(x±s, μg/m3) 16.22±1.90 16.29±1.87 0.001
      PM2.5(x±s, μg/m3) 9.99±1.07 10.09±1.10 < 0.001
      PM2.5-10(x±s, μg/m3) 6.42±0.89 6.44±0.89 0.139
    空气污染物日累积暴露量
      NO2(x±s, μg/m3·day) 72.10±55.26 87.10±63.36 < 0.001
      NOx(x±s, μg/m3·day) 118.94±96.88 145.12±113.49 < 0.001
      PM10(x±s, μg/m3·day) 43.92±30.51 52.26±34.05 < 0.001
      PM2.5(x±s, μg/m3·day) 27.06±18.77 32.33±20.96 < 0.001
      PM2.5-10(x±s, μg/m3·day) 17.42±12.28 20.68±13.69 < 0.001
    下载: 导出CSV

    表  2  空气污染物浓度与高血压发病风险的关联

    Table  2.   Association of air pollutant concentrations with the risk of hypertension

    变量 空气污染物浓度(五分位数) HR (95% CI)值每增长10μg/m3 P
    Q1 Q2
    HR (95% CI)值
    Q3
    HR (95% CI)值
    Q4
    HR (95% CI)值
    Q5
    HR (95% CI)值
    NO2 1 1.10(1.02~1.19) 1.15(1.07~1.24) 1.11(1.03~1.20) 1.04(0.95~1.12) 1.02(0.99~1.05) 0.246
    NOx 1 1.10(1.03~1.19) 1.21(1.13~1.30) 1.12(1.04~1.21) 1.06(0.98~1.15) 1.02(1.00~1.03) 0.037
    PM10 1 1.03(0.96~1.10) 1.05(0.98~1.13) 1.01(0.94~1.08) 1.01(0.94~1.09) 1.05(0.93~1.18) 0.422
    PM2.5 1 1.08(1.01~1.17) 1.18(1.10~1.27) 1.12(1.04~1.21) 1.06(0.98~1.15) 1.24(0.99~1.55) 0.067
    PM2.5-10 1 1.02(0.95~1.09) 1.11(1.03~1.19) 1.02(0.95~1.10) 1.02(0.95~1.09) 0.99(0.77~1.27) 0.935
    下载: 导出CSV

    表  3  空气污染物日累积暴露量与高血压发病风险的关联

    Table  3.   Association between daily cumulative exposure to air pollutants and the risk of hypertension

    变量 空气污染物日累积暴露(五分位数) HR (95% CI)值每增长50μg/m3 P
    Q1 Q2
    HR (95% CI)值
    Q3
    HR (95% CI)值
    Q4
    HR (95% CI)值
    Q5
    HR (95% CI)值
    NO2 1 1.02(0.93~1.10) 1.13(1.05~1.23) 1.16(1.07~1.25) 1.26(1.17~1.36) 1.06(1.04~1.08) < 0.001
    NOx 1 1.06(0.98~1.15) 1.16(1.07~1.25) 1.19(1.10~1.29) 1.27(1.18~1.37) 1.03(1.02~1.04) < 0.001
    PM10 1 1.00(0.92~1.08) 1.05(0.97~1.14) 1.15(1.07~1.24) 1.23(1.14~1.32) 1.11(1.07~1.14) < 0.001
    PM2.5 1 1.02(0.94~1.11) 1.09(1.01~1.18) 1.18(1.09~1.27) 1.25(1.16~1.35) 1.18(1.12~1.24) < 0.001
    PM2.5-10 1 1.02(0.94~1.11) 1.09(1.01~1.18) 1.17(1.09~1.26) 1.23(1.14~1.32) 1.26(1.17~1.37) < 0.001
    下载: 导出CSV

    表  4  空气污染暴露评分与高血压发病风险的关联

    Table  4.   Association between air pollution exposure score and the risk of hypertension

    模型 空气污染暴露评分(五分位数) HR (95% CI)值每增长一个标准差 P
    Q1 Q2
    HR (95% CI)值
    Q3
    HR (95% CI)值
    Q4
    HR (95% CI)值
    Q5
    HR (95% CI)值
    模型1 a 1 1.12(1.03~1.21) 1.41(1.30~1.52) 1.74(1.62~1.88) 2.23(2.08~2.40) 1.24(1.21~1.26) < 0.001
    模型2 b 1 1.01(0.93~1.09) 1.15(1.06~1.25) 1.27(1.18~1.37) 1.49(1.38~1.61) 1.15(1.13~1.17) < 0.001
    模型3 c 1 1.01(0.93~1.10) 1.11(1.02~1.20) 1.17(1.09~1.27) 1.24(1.15~1.34) 1.06(1.04~1.09) < 0.001
    注:a未调整模型;b调整性别、年龄;c调整年龄、性别、BMI、Townsend剥夺指数、健康饮食评分、SBP、DBP、糖尿病、吸烟、饮酒。
    下载: 导出CSV
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  • 收稿日期:  2022-07-24
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