您的位置：山东大学 -> 科技期刊社 -> 《山东大学学报（医学版）》

山东大学学报 (医学版) ›› 2019, Vol. 57 ›› Issue (1): 107-113.doi: 10.6040/j.issn.1671-7554.0.2018.552

• 公共卫生与管理学 • 上一篇    

济南市三城区居民热浪健康风险感知水平及影响因素

石婉荧1,班婕1,杜宗豪1,王琼1,刘霞2,姜超3,韩联宇4,王锐5,崔亮亮5   

  1. 1. 中国疾病预防控制中心环境与健康相关产品安全所, 北京 100021;2. 济南市长清区疾病预防控制中心健康教育与慢病防治科, 山东 济南 250300;3. 济南市市中区疾病预防控制中心慢病科, 山东 济南 250002;4. 济南市历城区疾病预防控制中心公共卫生科, 山东 济南 250100;5. 济南市疾病预防控制中心环境健康所, 山东 济南 250021
  • 发布日期:2022-09-27
  • 通讯作者: 班婕. E-mail:bjking99@126.com
  • 基金资助:
    国家科技基础资源调查专项课题(2017FY101204)

Public risk perception on heat wave and influencing factors in Jinan City

SHI Wanying1, BAN Jie1, DU Zonghao1, WANG Qiong1, LIU Xia2, JIANG Chao3, HAN Lianyu4, WANG Rui5, CUI Liangliang5   

  1. 1. National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China;
    2. Department of Public Health Education and Chronic Disease Prevention, Jinan Changqing District Center for Disease Control and Prevention, Jinan 250300, Shandong, China;
    3. Department of Chronic Disease, Jinan Shizhong District Center for Disease Control and Prevention, Jinan 250002, Shandong, China;
    4. Department of Public Health, Jinan Licheng District Center for Disease Control and Prevention, Jinan 250100, Shandong, China;
    5. Department of Environmental Health, Jinan Center for Disease Control and Prevention, Jinan 250021, Shandong, China
  • Published:2022-09-27

PDF (PC)

6

摘要： 目的 探索山东省济南市三城区居民对热浪健康风险的感知水平及其影响因素。 方法 于2016年7月18日至2016年8月6日对山东省济南市长清区、历城区和市中区共3 065位居民进行问卷调查,收集调查对象的一般情况、健康状况、生活方式以及个人对热浪健康风险感知水平等信息,并采用多因素有序Logistic回归模型分析居民热浪健康风险感知的影响因素。 结果 济南市居民对热浪健康风险的关注度水平相对较高,其余各维度感知状况处于一般水平。多因素有序Logistic回归显示,年龄、BMI、受教育程度、室内空调、健康状况等对部分维度的热浪风险感知水平具有影响,而温度变化对热浪健康风险各维度的感知水平均具有影响,最大效应出现在对自身健康危害的感知水平(OR=1.33; 95%CI:1.19~1.48)。结论 年龄、BMI、受教育程度、室内空调、健康状况以及温度是居民热浪风险感知水平的影响因素,且温度对热浪所致健康风险不同维度的感知水平均有直接影响。

关键词: 热浪, 温度, 风险感知, 居民, 健康

Abstract: Objective To explore the public risk perception of heat wave in three districts in Jinan city, Shandong Province and the influencing factors among residents. Methods Questionnaires were used to collect information about sociodemographic characteristics, physical condition, lifestyle and perception on heat wave among a total of 3 065 residents in Changqing District, Licheng District and Shizhong District of Jinan City, during July 18 and August 6, 2016. Multivariate ordinal Logistic regression analysis was used to analyze the influencing factors of public perception on heat 山 东 大 学 学 报 (医 学 版)57卷1期 -石婉荧,等.济南市三城区居民热浪健康风险感知水平及影响因素 \=-wave. Results We found that the level of concern perception on heat wave was relatively high, while other dimensions of public perception were at moderate levels. Age, BMI, education, air-conditioning use, and physical condition were influencing factors of public perception on heat wave. In addition, the temperature had a significant influence on the perceived level of heat wave in different dimensions, and the strongest effect occurred in self-perception of health risk(OR=1.33, 95% CI: 1.19-1.48). Conclusion Age, BMI, education, physical condition, air-conditioning use and temperature are influencing factors of public risk perception level on heat wave, and especially, temperature is related to all dimensions of risk perception.

Key words: Heat wave, Temperature, Risk perception, Residents, Health

中图分类号: 

  • R122.2
[1] Beier D, Brzoska P, Khan MM. Indirect consequences of extreme weather and climate events and their associations with physical health in coastal Bangladesh: a cross-sectional study[J]. Glob Health Action, 2015, 8: 29016. doi:10.3402/gha.v8.29016.
[2] Robine JM, Cheung SL, Le RS, et al. Death toll exceeded 70,000 in Europe during the summer of 2003[J]. C R Biol, 2008, 331(2): 171-178.
[3] Ban J, Xu D, He MZ, et al. The effect of high temperature on cause-specific mortality: A multi-county analysis in China[J]. Environ Int, 2017, 106: 19-26. doi:10.1016/j.envint.2017.05.019.
[4] Zeng Q, Li G, Cui Y, et al. Estimating temperature-mortality exposure-response relationships and optimum ambient temperature at the multi-city level of China[J]. Int J Environ Res Public Health, 2016, 13(3): 279.
[5] 孙庆华, 张翼, 周连, 等. 南京市温度对死亡的急性效应研究[J]. 环境与健康杂志, 2016,33(3):193-197. SUN Qinghua, ZHANG Yi, ZHOU Lian, et al. Short-term effects of ambient temperature on mortality in Nanjing[J]. J Environ Health, 2016, 33(3):193-197.
[6] Grothmann T, Patt A. Adaptive capacity and human cognition: The process of individual adaptation to climate change[J]. Global Environ Chang, 2005, 15(3): 199-213.
[7] Ban J, Huang L, Chen C, et al. Integrating new indicators of predictors that shape the public's perception of local extreme temperature in China[J]. Sci Total Environ, 2017, 579: 529-536. doi:10.1016/j.scitotenv.2016.11.064.
[8] Kabir MI, Rahman MB, Smith W, et al. Knowledge and perception about climate change and human health: findings from a baseline survey among vulnerable communities in Bangladesh[J]. BMC Public Health, 2016, 16: 266. doi: 10.1186/s12889-016-2930-3.
[9] 叶士琳, 祁新华, 程煜, 等. 城市居民对高温热浪的感知——基于福州市的调查[J]. 生态学报, 2015, 35(20):6814-6820. YE Shilin, QI Xinhua, CHENG Yu, et al. Study on the perception of heat waves among urban residents: based on a survey in Fuzhou[J]. Acta Ecologica Sinica, 2015, 35(20): 6814-6820.
[10] 李旭东, 陈平, 王长科, 等. 海口市城区居民对高温天气健康风险的感知[J]. 中华预防医学杂志, 2013, 47(12): 1157-1159. LI Xudong, CHEN Ping, WANG Changke, et al. Study on the risk perception of heat waves among urban resident in Haikou[J]. Chin J Prev Med, 2013, 47(12): 1157-1159.
[11] 赵琳, 王长科, 李旭东, 等. 海南省不同人群对高温热浪及其影响与适应的感知分析[J]. 干旱气象, 2015,33(2):310-316. ZHAO Lin, WANG Changke, LI Xudong, et al. Public perceptions of heat wave and its impacts and adaptation for different people groups in Hannan[J]. Journal of Arid Meteorology, 2015, 33(2): 310-316.
[12] Mishra SR, Bhandari PM, Issa R, et al. Climate change and adverse health events: community perceptions from the Tanahu district of Nepal[J]. Environ Res Lett, 2015, 10(3): 034007. doi: 10.1088/1748-9326/10/3/034007.
[13] Chelsea CF, Patrick C, Edward M. Household perceptions of coastal hazards and climate change in the Central Philippines[J]. J Environ Manage, 2012, 112: 137-148. doi:10.1016/j.jenvman.2012.06.018.
[14] 中华人民共和国卫生部疾病控制司.中国成人超重和肥胖症预防控制指南[M]. 北京: 人民卫生出版社, 2006.
[15] Liu T, Xu YJ, Zhang YH, et al. Associations between risk perception, spontaneous adaptation behavior to heat waves and heatstroke in Guangdong province, China[J]. BMC Public Health, 2013, 13: 913. doi:10.1186/1471-2458-13-913.
[16] Huang C, Vaneckova P, Wang X, et al. Constraints and barriers to public health adaptation to climate change[J]. Am J Prev Med, 2011, 40(2): 183-190.
[17] Hansen A, Bi P, Nitschke M, et al. Perceptions of heat-susceptibility in older persons: barriers to adaptation[J]. Int J Environ Res Public Health, 2011, 8(12): 4714-4728.
[18] Åström DO, Forsberg B, Rocklöv J. Heat wave impact on morbidity and mortality in the elderly population: A review of recent studies[J]. Maturitas, 2011, 69(2): 99-105.
[19] Baccini M, Kosatsky T, Analitis A, et al. Impact of heat on mortality in 15 European cities: attributable deaths under different weather scenarios[J]. J Epidemiol Communy H, 2010, 65(1): 64-70.
[20] 李旭东, 陈平, 王长科, 等. 海南居民对高温天气健康风险的感知[J]. 中国健康教育, 2013, 29(6): 513-516. LI Xudong, CHEN Ping, WANG Changke, et al. A quantitative survey on perceptions of hot temperature health risks among residents in Hannan Province[J]. Chinese Journal of Health Education, 2013, 29(6): 513-516.
[21] 杜宗豪, 班婕, 陈晨, 等. 北京市人群对热浪的关注度及影响因素研究[J]. 环境与健康杂志, 2015, 32(8): 701-704. DU Zhonghao, BAN Jie, CHEN Chen, et al. A study on public concern on heat waves and influencing factors in Beijing[J]. Journal of Environment and Health, 2015, 32(8): 701-704.
[22] Shepherd A, Jepson R, Watterson A, et al. Risk perceptions of environmental hazards and human reproduction: A community-based survey[J]. ISRN Public Health, 2012, 2012: 1-9. doi:10.5402/2012/748080.
[23] Kenny GP, Yardley J, Brown C, et al. Heat stress in older individuals and patients with common chronic diseases[J]. CMAJ, 2010, 182(10): 1053-1060.
[24] Toan do TT, Kien VD, Bao Giang K, et al. Perceptions of climate change and its impact on human health: an integrated quantitative and qualitative approach[J]. Glob Health Action, 2014, 7: 23025. doi:10.3402/gha.v7.23025.
[25] Timmermans EJ, vander Pas S, Schaap LA, et al. Self-perceived weather sensitivity and joint pain in older people with osteoarthritis in six European countries: results from the European Project on OSteoArthritis(EPOSA)[J]. BMC Musculoskelet Disord, 2014, 15: 66. doi:10.1186/1471-2474-15-66.
[26] Guo X, Meng Z, Huang G, et al. Meta-analysis of the prevalence of anxiety disorders in mainland China from 2000 to 2015[J]. Sci Rep, 2016, 6: 28033. doi:10.1038/srep28033.
[27] Sheridan SC. A survey of public perception and response to heat warnings across four North American cities: an evaluation of municipal effectiveness[J]. Int JBiometeorol, 2007, 52(1): 3-15.
[28] Akerlof K, Debono R, Berry P, et al. Public perceptions of climate change as a human health risk: surveys of the United States, Canada and Malta[J]. Int J Environ Res Public Health, 2010, 7(6): 2559-2606.
[29] 马文军, 林巧绚, 林华亮, 等. 老年人高温热浪健康教育干预效果混合效应模型分析[J]. 中华流行病学杂志, 2016,37(9):1228-1232. MA Wenjun, LIN Qiaoxun, LIN Hualiang, et al. Effectiveness of health education about heat wave hazard prevention in the elderly: a mixed effect model analysis[J]. Chinese Journal Epidemiology, 2016, 37(9): 1228-1232.
[1] 吴瑞芳,李长忠. 女性生育力保护的现状与进展[J]. 山东大学学报 (医学版), 2022, 60(9): 1-7.
[2] 孙浩瑜,姜鑫,陈守臻,曲思凤,史本康. 多参数磁共振联合前列腺健康指数对PSA灰区临床有意义前列腺癌的诊断价值[J]. 山东大学学报 (医学版), 2022, 60(6): 46-50.
[3] 许振,刁统祥,臧振杰,邵丁昌,张奇,孙鼎琪,傅强. 前列腺特异性抗原同源异构体2及其衍生指标在前列腺癌诊断中的价值[J]. 山东大学学报 (医学版), 2022, 60(6): 51-56.
[4] 苏永刚,王睿,杨同卫. 健康中国视域下老年人群自杀的影响因素及预防对策[J]. 山东大学学报 (医学版), 2022, 60(2): 8-13.
[5] 吕岩红,张志勉. 2 809名体检人群中高血压与幽门螺杆菌感染的关联性[J]. 山东大学学报 (医学版), 2022, 60(2): 43-47.
[6] 罗潇,戴翔,贾存显,宋华翠,高莉洁. 基于面板数据模型研究某企业员工血压水平的变化趋势及影响因素[J]. 山东大学学报 (医学版), 2022, 60(2): 109-114.
[7] 姚志英,魏艳欣,汪心婷,张杰,贾存显. 农村居民自杀行为暴露与自杀未遂关系的研究[J]. 山东大学学报 (医学版), 2022, 60(1): 86-92.
[8] 王辛,郭丹,梁佳瑞,郭丽,王健. 社会资本对老年人健康促进行为的影响[J]. 山东大学学报 (医学版), 2021, 59(7): 97-103.
[9] 李湉湉,王情,孙庆华. 加强环境健康风险预警研究，推动风险预警公共卫生服务[J]. 山东大学学报 (医学版), 2021, 59(12): 1-5.
[10] 黄蕾,叶子雯,李湉湉. 环境健康风险感知研究进展[J]. 山东大学学报 (医学版), 2021, 59(12): 6-12.
[11] 许怀悦,王情,马润美,班婕,李湉湉. 温度相关的疾病负担研究进展[J]. 山东大学学报 (医学版), 2021, 59(12): 13-19, 32.
[12] 杜艳君,班婕,孙庆华,张翼,王情,陈晨,刘园园,李湉湉. 《化学物质环境健康风险评估技术指南》解读[J]. 山东大学学报 (医学版), 2021, 59(12): 20-23.
[13] 彭秀苗,王雪峰,公为美,张扬,周敬文,崔亮亮. 2016~2020年济南市居民饮用水中8种重金属浓度变化趋势及健康风险特征分析[J]. 山东大学学报 (医学版), 2021, 59(12): 24-32.
[14] 夏慧禹,刘仲,刘树民,李学文. 集约化动物养殖区饲料-粪便-饮用水中β受体激动剂的残留特征及其健康风险[J]. 山东大学学报 (医学版), 2021, 59(12): 33-41.
[15] 潘璐,王炳玲,王寅,张秀芹,徐春生,李丹丹,段海平. 2014~2019年青岛市生活饮用水健康风险评估[J]. 山东大学学报 (医学版), 2021, 59(12): 42-49.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
版权所有 © 2018 《山东大学学报(医学版)》编辑部　
地址:山东大学科技期刊社（济南市历城区山大南路27号山东大学中心校区明德楼B座721室） 电话: 0531-88366918 E-mail: xbyxb@sdu.edu.cn
本系统由北京玛格泰克科技发展有限公司设计开发