Advanced Search

CN 34-1304/RISSN 1674-3679

Volume 25 Issue 10
Nov.  2021
Turn off MathJax
Article Contents
SHI Wan-ying, CHEN Chen, CAO Ya-qiang, ZHANG Yi, CUI Qian, ZHAO Feng, WANG Jiao-nan, FANG Jian-long, TANG Song, LI Tian-tian, SHI Xiao-ming. Impact of persistent high ambient fine particulate matters exposure on cardiometabolic risk factors among middle-aged and elderly people[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2021, 25(10): 1120-1125, 1168. doi: 10.16462/j.cnki.zhjbkz.2021.10.002
Citation: SHI Wan-ying, CHEN Chen, CAO Ya-qiang, ZHANG Yi, CUI Qian, ZHAO Feng, WANG Jiao-nan, FANG Jian-long, TANG Song, LI Tian-tian, SHI Xiao-ming. Impact of persistent high ambient fine particulate matters exposure on cardiometabolic risk factors among middle-aged and elderly people[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2021, 25(10): 1120-1125, 1168. doi: 10.16462/j.cnki.zhjbkz.2021.10.002

Impact of persistent high ambient fine particulate matters exposure on cardiometabolic risk factors among middle-aged and elderly people

doi: 10.16462/j.cnki.zhjbkz.2021.10.002
Funds:

National Natural Science Foundation of China 81573247

National Key Research and Development Program of China 2016YFC0206500

National research program for key issues in air pollution control DQGG0401

More Information
  • Corresponding author: SHI Xiao-ming, E-mail: shixm@chinacdc.cn
  • Received Date: 2021-06-08
  • Rev Recd Date: 2021-08-02
  • Available Online: 2021-11-17
  • Publish Date: 2021-10-10
  •   Objective  To explore the effects of persistent high exposure of fine particulate matters (PM2.5) on cardiometabolic risk factors among middle-aged and older people in Beijing-Tianjin-Hebei and surrounding regions.  Methods  A cross-sectional survey was conducted from April 9th, 2017 to March 31st, 2019 in 6 Provinces in Beijing-Tianjin-Hebei and the surrounding areas. A total of 2 415 middle-aged and elderly people aged 40 to 89 years were recruited as the research participants. Questionnaire survey was conducted to obtain the basic information, socioeconomic and lifestyle of the participants. Physical examination was carried out to obtain waist circumference, levels of fasting blood glucose, blood pressure, triglycerides and high-density lipoprotein cholesterol. According to the consensus statement from the International Diabetes Federation in 2005, the co-prevalence of cardiometabolic risk factors was defined. Daily mean PM2.5 concentrations ≥75 μg/m3, ≥90th percentile of daily mean PM2.5 concentrations in each County during the survey year and various durations (≥2 d or ≥3 d) were used to define PM2.5 high exposure scenarios and persistent states. Logistic regression model was used to analyze the effects of persistent high exposure of PM2.5 on co-prevalence of cardiometabolic risk factors.  Results  Persistent high exposure of PM2.5 was significantly associated with the co-prevalence of cardiometabolic factors, especially when extreme pollution scenario was defined by P90 and lasted for more than 2 days and 3 days, OR value (95% CI) of elevated risk of co-prevalence of cardiometabolic factors were 1.58 (1.00-2.50) and 2.57 (1.27-5.22), respectively. The increase of blood glucose and triglyceride level were more sensitive metabolic risk factors. Moreover, subgroup analysis showed that persistent high PM2.5 exposure had a more substantial impact on cardiometabolic risks in males and people under 65 years.  Conclusions  Persistent high exposure of PM2.5 in Beijing-Tianjin-Hebei and surrounding regions in China can significantly increase cardiometabolic risks in middle-aged and older people.
  • loading
  • [1]
    GBD 2017 Risk Factor Collaborators. Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks for 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017[J]. Lancet, 2018, 392(10159): 1923-1994. DOI: 10.1016/S0140-6736(18)32225-6.
    [2]
    Rajagopalan S, Al-Kindi SG, Brook RD. Air pollution and cardiovascular disease: JACC state-of-the-art review[J]. J Am Coll Cardiol, 2018, 72(17): 2054-2070. DOI: 10.1016/j.jacc.2018.07.099.
    [3]
    Bowe B, Gibson AK, Xie Y, et al. Ambient fine particulate matter air pollution and risk of weight gain and obesity in United States veterans: an observational cohort study[J]. Environ Health Perspect, 2021, 129(4): 47003. DOI: 10.1289/EHP7944.
    [4]
    Yitshak Sade M, Kloog I, Liberty IF, et al. The association between air pollution exposure and glucose and lipids levels[J]. J Clin Endocrinol Metab, 2016, 101(6): 2460-2467. DOI: 10.1210/jc.2016-1378.
    [5]
    Chen H, Burnett RT, Kwong JC, et al. Spatial association between ambient fine particulate matter and incident hypertension[J]. Circulation, 2014, 129(5): 562-569. DOI: 10.1161/CIRCULATIONAHA.113.003532.
    [6]
    Forouzanfar MH, Alexander L, Anderson HR, et al. Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks in 188 countries, 1990-2013: a systematic analysis for the Global Burden of Disease Study 2013[J]. Lancet, 2015, 386(10010): 2287-2323. DOI: 10.1016/S0140-6736(15)00128-2.
    [7]
    Brook RD, Newby DE, Rajagopalan S. Air pollution and cardiometabolic disease: an update and call for clinical trials[J]. Am J Hypertens, 2017, 31(1): 1-10. DOI: 10.1093/ajh/hpx109.
    [8]
    Clementi EA, Talusan A, Vaidyanathan S, et al. Metabolic syndrome and air pollution: a narrative review of their cardiopulmonary effects[J]. Toxics, 2019, 7(1): 6. DOI: 10.3390/toxics7010006.
    [9]
    陈晨, 仲宇, 刘园园, 等. 2013-2018年北京市大气PM2.5持续高暴露对居民因病入院的急性影响[J]. 环境科学研究, 2021, 34(1): 213-219. DOI: 10.13198/j.issn.1001-6929.2020.11.16.

    Chen C, Zhong Y, Liu YY, et al. Impact of persistent high ambient fine particulate matters exposures on hospitalization in Beijing from 2013 to 2018[J]. Research of Environmental Sciences, 2021, 34(1): 213-219. DOI: 10.13198/j.issn.1001-6929.2020.11.16.
    [10]
    Chen RJ, Zhao ZH, Kan HD. Heavy smog and hospital visits in Beijing, China[J]. Am J Respir Crit Care Med, 2013, 188(9): 1170-1171. DOI: 10.1164/rccm.201304-0678LE.
    [11]
    Alberti KG, Zimmet P, Shaw J. Metabolic syndrome--a new world-wide definition. A Consensus Statement from the International Diabetes Federation[J]. Diabet Med, 2006, 23(5): 469-480. DOI: 10.1111/j.1464-5491.2006.01858.x.
    [12]
    黄秋敏, 姜红如, 王柳森, 等. 中国15省份15~49岁女性心血管代谢性危险因素分析[J]. 中华流行病学杂志, 2020, 41(2): 190-194. DOI: 10.3760/cma.j.issn.0254-6450.2020.02.010.

    Huang QM, Jiang HR, Wang LS, et al. Analysis on detection status of cardio-metabolic related risk factors in women aged 15-49 years in 15 provinces in China[J]. Chin J Epidemiol, 2020, 41(2): 190-194. DOI: 10.3760/cma.j.issn.0254-6450.2020.02.010.
    [13]
    Mukherjee A, Agrawal M. A global perspective of fine particulate matter pollution and its health effects[J]. Rev Environ Contam Toxicol, 2018, 244: 5-51. DOI: 10.1007/398_2017_3.
    [14]
    Liu XY, Bai XX, Tian HZ, et al. Fine particulate matter pollution in North China: seasonal-spatial variations, source apportionment, sector and regional transport contributions[J]. Environ Res, 2020, 184: 109368. DOI: 10.1016/j.envres.2020.109368.
    [15]
    陈晨, 孙志颖, 孙庆华, 等. 2013-2015年大气PM2.5持续高暴露对中国40个区/县人群死亡的影响[J]. 中华预防医学杂志, 2019, 53(1): 76-80. DOI: 10.3760/cma.j.issn.0253-9624.2019.01.010.

    Chen C, Sun ZY, Sun QH, et al. The impact of persistent high ambient fine particulate matters exposures on mortality in the 40 districts/counties of China, 2013-2015[J]. Chin J Prev Med, 2019, 53(1): 76-80. DOI: 10.3760/cma.j.issn.0253-9624.2019.01.010.
    [16]
    Zhou M, He G, Fan M, et al. Smog episodes, fine particulate pollution and mortality in China[J]. Environ Res, 2015, 136: 396-404. DOI: 10.1016/j.envres.2014.09.038.
    [17]
    Wichmann HE. What can we learn today from the Central European smog episode of 1985 (and earlier episodes)?[J]. Int J Hyg Environ Health, 2004, 207(6): 505-520. DOI: 10.1078/1438-4639-00322.
    [18]
    Yusuf S, Joseph P, Rangarajan S, et al. Modifiable risk factors, cardiovascular disease, and mortality in 155 722 individuals from 21 high-income, middle-income, and low-income countries (PURE): a prospective cohort study[J]. Lancet, 2020, 395(10226): 795-808. DOI: 10.1016/S0140-6736(19)32008-2.
    [19]
    Shanley RP, Hayes RB, Cromar KR, et al. Particulate air pollution and clinical cardiovascular disease risk factors[J]. Epidemiology, 2016, 27(2): 291-298. DOI: 10.1097/EDE.0000000000000426.
    [20]
    孔祥敏, 章军, 刘翠清. PM2.5影响代谢综合征发病的研究现状和展望[J]. 中华劳动卫生职业病杂志, 2016, 34(8): 632-636. DOI: 10.3760/cma.j.issn.1001-9391.2016.08.023.

    Kong XM, Zhang J, Liu CQ. Current progress and prospect in effects of PM2.5 on metabolic syndrome[J]. Chin J Ind Hyg Occup Dis, 2016, 34(8): 632-636. DOI: 10.3760/cma.j.issn.1001-9391.2016.08.023.
    [21]
    Eze IC, Hemkens LG, Bucher HC, et al. Association between ambient air pollution and diabetes mellitus in Europe and North America: systematic review and meta-analysis[J]. Environ Health Perspect, 2015, 123(5): 381-389. DOI: 10.1289/ehp.1307823.
    [22]
    Yang BY, Guo YM, Markevych I, et al. Association of long-term exposure to ambient air pollutants with risk factors for cardiovascular disease in China[J]. JAMA Network Open, 2019, 2(3): e190318. DOI: 10.1001/jamanetworkopen.2019.0318.
    [23]
    Huang PL. A comprehensive definition for metabolic syndrome[J]. Dis Model Mech, 2009, 2(5-6): 231-237. DOI: 10.1242/dmm.001180.
    [24]
    Miller MR. The role of oxidative stress in the cardiovascular actions of particulate air pollution[J]. Biochem Soc Trans, 2014, 42(4): 1006-1011. DOI: 10.1042/BST20140090.
    [25]
    Rajagopalan S, Brook RD. Air pollution and type 2 diabetes: mechanistic insights[J]. Diabetes, 2012, 61(12): 3037-3045. DOI: 10.2337/db12-0190.
    [26]
    Kim JS, Chen Z, Alderete TL, et al. Associations of air pollution, obesity and cardiometabolic health in young adults: The Meta-AIR study[J]. Environ Int, 2019, 133(Pt A): 105180. DOI: 10.1016/j.envint.2019.105180.
    [27]
    Clougherty JE. A growing role for gender analysis in air pollution epidemiology[J]. Environ Health Perspect, 2010, 118(2): 167-176. DOI: 10.1289/ehp.0900994.
    [28]
    Cohen L, Curhan GC, Forman JP. Influence of age on the association between lifestyle factors and risk of hypertension[J]. J Am Soc Hypertens, 2012, 6(4): 284-290. DOI: 10.1016/j.jash.2012.06.002.
    [29]
    Hutcheon JA, Chiolero A, Hanley JA. Random measurement error and regression dilution bias[J]. BMJ, 2010, 340: c2289. DOI: 10.1136/bmj.c2289.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Tables(4)

    Article Metrics

    Article views (550) PDF downloads(104) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return