Journal of Shandong University (Health Sciences) ›› 2019, Vol. 57 ›› Issue (1): 107-113.doi: 10.6040/j.issn.1671-7554.0.2018.552

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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

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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

CLC Number: 

  • R122.2
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