杨程, 严丽丽, 袁震, 季鹏, 沈先标. 上海市宝山区高温中暑病例发生情况及其与气象因素的关联研究[J]. 职业卫生与应急救援, 2024, 42(4): 501-504, 514. DOI: 10.16369/j.oher.issn.1007-1326.2024.04.015
引用本文: 杨程, 严丽丽, 袁震, 季鹏, 沈先标. 上海市宝山区高温中暑病例发生情况及其与气象因素的关联研究[J]. 职业卫生与应急救援, 2024, 42(4): 501-504, 514. DOI: 10.16369/j.oher.issn.1007-1326.2024.04.015
YANG Cheng, YAN Lili, YUAN Zhen, JI Peng, SHEN Xianbiao. Occurrence of heatstroke cases and its association with meteorological factors in Baoshan District, Shanghai[J]. Occupational Health and Emergency Rescue, 2024, 42(4): 501-504, 514. DOI: 10.16369/j.oher.issn.1007-1326.2024.04.015
Citation: YANG Cheng, YAN Lili, YUAN Zhen, JI Peng, SHEN Xianbiao. Occurrence of heatstroke cases and its association with meteorological factors in Baoshan District, Shanghai[J]. Occupational Health and Emergency Rescue, 2024, 42(4): 501-504, 514. DOI: 10.16369/j.oher.issn.1007-1326.2024.04.015

上海市宝山区高温中暑病例发生情况及其与气象因素的关联研究

Occurrence of heatstroke cases and its association with meteorological factors in Baoshan District, Shanghai

  • 摘要:
    目的 分析上海市宝山区近年高温中暑病例的发生情况,探究其与气象因素的关联性。
    方法 收集2013—2022年每年6月15日—9月30日逐日的高温中暑病例信息和对应时间的相关气象信息,使用等级logistic回归模型估计中暑发生与气象因素的关联强度,并计算用于中暑预警的气温参考值。
    结果 2013—2022年宝山区中暑病例共计173例,男女比例6.2∶1,中暑病例的平均年龄为(45.08 ±17.85)岁,有114例(占65.9%)中暑病例发生在7月。等级logistic回归分析结果显示:相对湿度每升高1%,出现中暑的风险降低至原来的0.901倍;相较于不发生降雨,发生降雨时出现中暑的风险降低至0.340倍;日平均气温、日最高气温和日最低气温每升高1℃,出现中暑的风险分别升高至原来的2.005倍、1.736倍和1.906倍;热浪和高温日时发生中暑的风险相较于非热浪和非高温日分别升高至11.896倍和15.819倍;移动3 d平均气温(即当日和前两日气温均值)中,日平均气温、日最高气温、日最低气温每升高1℃,出现中暑的风险分别升高至原来的1.926倍、1.699倍和1.957倍;以上差异均有统计学意义(P < 0.001)。中暑超高风险气温预警值的日平均气温、日最高气温、日最低气温3种气温分别为35.55℃、40.58℃、31.07℃,中暑高风险气温预警值的3种气温气象条件分别为28.87℃、33.31℃、25.21℃。
    结论 宝山区每年7月是高温中暑的高发时期,日平均气温、日最高气温和日最低气温的升高均会增加高温中暑发生的可能性,持续3 d的相对较高的日最低气温更易发生中暑。

     

    Abstract:
    Objective To analyze the occurrence of heatstroke cases in Baoshan District, Shanghai, in recent years and explore its association with meteorological conditions.
    Methods Daily heatstroke case information and corresponding meteorological data from June 15 to September 30 during 2013-2022 were collected. An ordinal logistic regression model was used to estimate the strength of the association between heatstroke occurrence and meteorological conditions and to calculate temperature reference values for heatstroke warnings.
    Results From 2013 to 2022, a total of 173 heatstroke cases were recorded in Baoshan District, with a male-to-female ratio of 6.2 : 1. The average age of heatstroke cases was (45.08 ±17.85) years old, with 114 cases (65.9%) occurring in July. Ordinal logistic regression analysis showed that for each 1% increase in relative humidity, the risk of heatstroke was reduced to 0.901 times the original risk. Compared to non-rainfall days, the risk of heatstroke during rainfall days was reduced to 0.340 times the original risk. For each 1 ℃ increase in daily average temperature, daily maximum temperature, or daily minimum temperature, the risk of heatstroke increased to 2.005, 1.736, and 1.906 times the original risk, respectively. The risk of heatstroke during heatwave and high-temperature days increased to 11.896 and 15.819 times, respectively, compared to non-heatwave and non-high-temperature days. For the 3-day moving average temperature (i.e., the average temperature of the current day and the previous two days), each 1 ℃ increase in daily average temperature, daily maximum temperature, and daily minimum temperature increased the risk of heatstroke to 1.926, 1.699, and 1.957 times, respectively. All these differences were statistically significant (all P < 0.05). The daily average temperature, daily maximum temperature, and daily minimum temperature for the extreme heatstroke risk warning values are 35.55℃, 40.58℃, and 31.07℃, respectively. The three temperature meteorological conditions for the high heatstroke risk warning values are 28.87℃, 33.31℃, and 25.21℃, respectively.
    Conclusions July was the peak period for heatstroke in Baoshan District. Increases in daily average temperature, daily maximum temperature, and daily minimum temperature all increased the likelihood of heatstroke, with sustained relatively high daily minimum temperatures over 3 days being more likely to result in heatstroke.

     

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