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山东大学学报 (医学版) ›› 2021, Vol. 59 ›› Issue (12): 96-100.doi: 10.6040/j.issn.1671-7554.0.2021.0704

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457例孕妇PM2.5风险感知与防护行为个体差异和关联分析

叶子雯1,黄蕾1,方强1,龙海平2   

  1. 1.南京大学环境学院污染控制与资源化研究国家重点实验室, 江苏 南京 210023;2.重庆市长寿经济技术开发区生态环境局污染防治科, 重庆 401220
  • 发布日期:2021-12-29
  • 通讯作者: 黄蕾. E-mail:huanglei@nju.edu.cn
  • 基金资助:
    国家自然科学基金优青资助项目(41822709);江苏省自然科学基金面上项目(BK20201186)

Individual differences and association analysis of PM2.5 risk perception and protective behavior in 457 pregnant women

YE Ziwen1, HUANG Lei1, FANG Qiang1, LONG Haiping2   

  1. 1. State key Laboratory of Pollution Control &
    Resource Reuse School of the Environment, Nanjing University, Nanjing 210023, Jiangsu, China;
    2. Pollution Control Department, Changshou District Ecology and Environment Bureau, Chongqing 401220, China
  • Published:2021-12-29

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摘要： 目的 探讨孕妇对PM2.5风险感知和防护行为的个体差异及感知与防护行为的关联性。 方法 选取457名妊娠期女性。采用自编问卷调研孕妇对PM2.5的感知和防护情况,采用χ2检验、Kruskal-Wallis H检验和有序多分类Logistic回归分析对数据进行统计分析。 结果 孕妇年龄越大,教育水平和收入水平越高,其对PM2.5关注度越高(χ2=14.19,P=0.007; χ2=19.61,P<0.001; χ2=8.93,P=0.030)。同时,对PM2.5完全不关注的孕妇和低收入(<4 000元/月)孕妇在应对PM2.5污染时的措施采取度更低(OR=0.30,95%CI 0.15~0.60,P=0.001;OR=0.37,95%CI: 0.20~0.69,P=0.002)。 结论 低收入孕妇更容易受到PM2.5的影响,需要提高这类群体对PM2.5的关注度,增强其抵御PM2.5风险的能力。

关键词: 孕妇, PM2.5, 风险感知, 防护行为, 个体差异

Abstract: Objective To explore the individual differences and analyze the association of PM2.5 risk perception with protection behavior in pregnant women. Methods A total of 457 pregnant women were recruited from Nanjing Maternal and Child Health Care Hospital. Their risk perception of PM2.5 and protective behavior were surveyed with a self-made questionnaire. The data were analyzed with χ2 test, Kruskal Wallis H test, and polytomous ordinal Logistic regression. Results Older age, higher education level and higher income level were associated with more attention to PM2.5(χ2=14.19, P=0.007; χ2=19.61, P<0.001; χ2=8.93, P=0.030). Pregnant women with low concern of PM2.5 and low income(<4,000 yuan per month)took fewer measures to deal with PM2.5 pollution(OR=0.30, 95%CI: 0.15-0.60, P=0.001; OR=0.37, 95%CI: 0.20-0.69, P=0.002). Conclusion Pregnant women with low income are more vulnerable to PM2.5. It is necessary to increase the concern of these groups to PM2.5 and enhance their ability to avoid PM2.5 risk.

Key words: Pregnant women, PM2.5, Risk perception, Protective behavior, Individual difference

中图分类号: 

  • R122
[1] 曹军骥. 中国大气PM2.5污染的主要成因与控制对策 [J]. 科技导报, 2016, 34(20): 74-80.
[2] 王稚真, 倪佳慧. 国内空气PM2.5的污染现状与优化途径分析 [J]. 环境与发展, 2020, 32(4): 72-73. WANG Zhizhen, NI Jiahui. Analysis of PM2.5 pollution in China and optimization approaches [J]. Environment and Development, 2020, 32(4): 72-73.
[3] 王清勤, 李国柱, 赵力, 等. 建筑室内细颗粒物(PM2.5)污染现状、控制技术与标准[J]. 暖通空调, 2016, 46(2): 1-7. WANG Qingqin, LI Guozhu, ZHAO Li, et al. Indoor particulate matter(PM2.5)pollution situation, control technologies and standards [J]. Heating Ventilating & Air Conditioning, 2016, 46(2): 1-7.
[4] 曹国庆, 谢慧, 赵申. 公共建筑室内PM2.5污染控制策略研究[J]. 建筑科学, 2015, 31(4): 40-44. CAO Guoqing, XIE Hui, ZHAO Shen. Strategic Research of Pollution Control of Indoor PM2.5 in Public Buildings [J]. Building Science, 2015, 31(4): 40-44.
[5] 王芃远, 郑慧研, 谷亦范. 室内空气品质现状及影响因素分析[J]. 能源与环保, 2020, 42(3): 8-12. WANG Pengyuan, ZHENG Huiyan, GU Yifan. Analysis of quality status and influencing factors of indoor air [J]. China Energy and Environmental Protection, 2020, 42(3): 8-12.
[6] Arezes PM, Miguel AS. Risk perception and safety behaviour: a study in an occupational environment [J]. Saf Sci, 2008, 46(6): 900-907.
[7] 王晓楠. 公众环境风险感知对行为选择的影响路径[J]. 吉首大学学报(社会科学版), 2019, 40(4): 114-123. WANG Xiaonan. The Influence Path of Public Environmental Risk Perception on Behavior Choice [J]. Journal of Jishou University(Social Sciences), 2019, 40(4): 114-123.
[8] Liu L, Yan Y, Nazhalati N, et al. The effect of PM2.5 exposure and risk perception on the mental stress of Nanjing citizens in China [J]. Chemosphere, 2020, 254: 126797. doi: 10.1016/j.chemosphere.2020.126797.
[9] Huang L, Rao C, Tsering JVDK, et al. A comparison of individual exposure, perception, and acceptable levels of PM2.5 with air pollution policy objectives in china [J]. Environ Res, 2017, 157: 78-86. doi: 10.1016/j.envres.2017.05.012.
[10] Li Q, Xia M, Guo X, et al. Spatial characteristics and influencing factors of risk perception of haze in China: The case study of publishing online comments about haze news on Sina [J]. Sci Total Environ, 2021, 785: 147236. doi: 10.1016/j.scitotenv.2021.147236.
[11] Cori L, Donzelli G, Gorini F, et al. Risk perception of air pollution: a systematic review focused on particulate matter exposure [J]. Int J Environ Res Public Health, 2020, 17(17): 6424.
[12] Yang Q, Wu S. Air pollution in China: health information seeking and protective behaviors [J]. Health Promot Int, 2020, 35(6): 1495-1506.
[13] 张君, 陈奕. 大气污染与不良妊娠结局相关性的研究进展[J]. 中国妇产科临床杂志, 2018, 19(4): 366-369.
[14] 赵姗, 段雅, 靳颖, 等. 妊娠期PM2.5暴露对早产影响 [J]. 中国公共卫生, 2020, 36(9): 1302-1307. ZHAO Shan, DUAN Ya, JIN Ying. Impact of maternal PM2.5 exposure on preterm birth in Hebei province: a retrospective analysis [J]. Chinese Journal of Public Health, 2020, 36(9): 1302-1307.
[15] Slovic P. Perception of risk [J]. Science, 1987, 236(4799): 280-285.
[16] Li J, Huang L, Han B, et al. Exposure and perception of PM2.5 pollution on the mental stress of pregnant women [J]. Environ Int, 2021, 156: 106686. doi: 10.1016/j.envint.2021.106686.
[17] Lai MC, Chou FS, Wang CC, et al. Influence of perceived risk of smoking and second-hand smoke on self-regulatory behavior among pregnant Taiwanese women [J]. Southeast Asian J Trop Med Public Health, 2015, 46(6): 1092-1102.
[18] Lai MC, Chou FS, Yang YJ, et al. Tobacco use and environmental smoke exposure among Taiwanese pregnant smokers and recent quitters: risk perception, attitude, and avoidance behavior [J]. Int J Environ Res Public Health, 2013, 10(9): 4104-4116.
[19] Zhu W, Yao N. Public risk perception and intention to take actions on city smog in China [J]. Hum Ecol Risk Assess, 2019, 25(6): 1531-1546.
[20] Mundorf CA, Wilson MJ, Shankar A, et al. Cultural influences on the management of environmental health risks among low-income pregnant women [J]. Health Risk Soc, 2017, 19(7-8): 369-386.
[21] Araban M, Tavafian SS, Zarandi SM, et al. A behavioral strategy to minimize air pollution exposure in pregnant women: a randomized controlled trial [J]. Environ Health Prev Med, 2017, 22(1): 26.
[22] Jasemzadeh M, Khafaie MA, Jaafarzadeh N, et al. Effectiveness of a theory-based mobile phone text message intervention for improving protective behaviors of pregnant women against air pollution: a randomized controlled trial [J]. Environ Sci Pollut Res Int, 2018, 25(7): 6648-6655.
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