汪庆庆, 于永, 陈晓东, 周连. 南京某区居民对热浪健康风险的认知及影响因素[J]. 环境与职业医学, 2015, 32(7): 620-624,636. DOI: 10.13213/j.cnki.jeom.2015.14624
引用本文: 汪庆庆, 于永, 陈晓东, 周连. 南京某区居民对热浪健康风险的认知及影响因素[J]. 环境与职业医学, 2015, 32(7): 620-624,636. DOI: 10.13213/j.cnki.jeom.2015.14624
WANG Qing-qing , YU Yong , CHEN Xiao-dong , ZHOU Lian . Influencing Factors of Health Risk Perception of Heat Wave in Community Residents from a District of Nanjing[J]. Journal of Environmental and Occupational Medicine, 2015, 32(7): 620-624,636. DOI: 10.13213/j.cnki.jeom.2015.14624
Citation: WANG Qing-qing , YU Yong , CHEN Xiao-dong , ZHOU Lian . Influencing Factors of Health Risk Perception of Heat Wave in Community Residents from a District of Nanjing[J]. Journal of Environmental and Occupational Medicine, 2015, 32(7): 620-624,636. DOI: 10.13213/j.cnki.jeom.2015.14624

南京某区居民对热浪健康风险的认知及影响因素

Influencing Factors of Health Risk Perception of Heat Wave in Community Residents from a District of Nanjing

  • 摘要: 目的 了解南京市某区居民对热浪健康风险的认知现状及相关影响因素。

    方法 随机选择南京市某2个社区,用面对面询问方式调查居民654人。采用卡方检验、多变量logistic回归等方法对热浪风险认知相关因素进行分析。

    结果 有效问卷642份,有效回收率98.9%。居民对高温的认知为(34.6±2.66)℃,热浪对生活的影响程度在一般至比较严重之间,居民热浪相关知识水平较低,应对意愿较高;感知觉、风险评估、知识水平各维度之间均呈正相关。logistic回归分析结果提示,老年人无中暑经历者(OR=1.2×10-7)对热浪风险评估低,慢病人群中步行者(OR=2.763)、无中暑经历者(OR=7.9×10-7)对热浪风险评估低。

    结论 南京某社区居民对热浪的风险认知和知识水平较低,个人健康状况和生活习惯是影响热浪风险认知的重要因素。

     

    Abstract: Objective To investigate the health risk perception of heat wave and its related factors in community residents from a district of Nanjing.

    Methods A total of 654 adult residents from two randomly selected communities in Nanjing were in terviewed face to face. Chi-square test and multivariate logistic regression model were employed to analyze factors related to the perception of heat wave health risks.

    Results There were 642 valid questionnaires returned (98.9%). The perception of high temperature was (34.6±2.66)℃ in the residents. The effect of heat wave on life was graded from general to severe. The residents' awareness of heat wave related knowledge was low, while their adaptation desire was high. There was a positive correlation among dimensions of perception, risk assessment, and knowledge level. The results of logistic regression showed lower perception levels among senior residents without heatstroke experience (OR=1.2×10-7) and patients of chronic diseases with more walk (OR=2.763) or without heatstroke experience (OR=7.9×10-7).

    Conclusion A low level of risk perception of heat wave is found among the residents in Nanjing. Personal health condition and living habits are the important factors influencing heat wave perception.

     

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