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预防医学  2025, Vol. 37 Issue (7): 673-676,681    DOI: 10.19485/j.cnki.issn2096-5087.2025.07.006
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热浪对食源性疾病发病的影响
宋和佳, 孙炀明, 贾娟娟, 林云
嘉兴市疾病预防控制中心,浙江 嘉兴 314050
Impact of heat wave on the incidence of foodborne diseases
SONG Hejia, SUN Yangming, JIA Juanjuan, LIN Yun
Jiaxing Center for Disease Control and Prevention, Jiaxing, Zhejiang 314050, China
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摘要 目的 探讨热浪对食源性疾病发病的影响,为夏季预防食源性疾病提供依据。方法 通过浙江省食源性疾病监测平台收集2018—2023年每年的6—9月嘉兴市食源性疾病发病病例资料,通过嘉兴市气象局收集气象资料,通过全国城市空气质量实时发布平台收集空气质量资料;结合温度阀值和持续时间定义热浪,采用时间分层-病例交叉设计方法构建分布滞后非线性模型(DLNM)分析热浪对食源性疾病发病的影响,计算累积相对危险度(CRR)和归因分值(AF),比较不同性别、年龄及疾病类别的累积滞后风险和疾病负担。结果 2018—2023年每年的6—9月嘉兴市报告食源性疾病病例13 026例,其中男性6 646例,女性6 380例;<15岁746例,15~65岁10 910例,>65岁1 370例;感染性腹泻1 425例,急性胃肠炎9 956例,其他食源性疾病1 645例。DLNM分析结果显示,不同定义热浪增加食源性疾病发病风险(均CRR>1,P<0.05),且发病风险随温度阈值和持续时间增加而上升。日均气温不低于2018—2023年日均气温的第95百分位数且至少持续4 d时,赤池信息准则最小,食源性疾病的累积滞后风险和疾病负担较高,CRR值为1.32(95%CI:1.09~1.60),AF值为2.81%(95%CI:1.05%~4.31%);其中,女性、15~65岁人群和急性胃肠炎受热浪日影响较大,CRR值分别为1.37(95%CI:1.12~1.67)、1.35(95%CI:1.06~1.73)和1.35(95%CI:1.09~1.66),AF值分别为3.00%(95%CI:0.82%~4.73%)、3.08%(95%CI:1.27%~4.61%)和3.00%(95%CI:1.04%~4.64%)。结论 热浪对食源性疾病发病风险的影响存在滞后效应和累积效应,可增加发病风险和疾病负担;女性、15~65岁人群和急性胃肠炎受热浪日影响较大。
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宋和佳
孙炀明
贾娟娟
林云
关键词 热浪食源性疾病分布滞后非线性模型    
AbstractObjective To explore the impact of heat wave on the incidence of foodborne diseases, so as to provide the basis for preventing foodborne diseases in summer. Methods Data on foodborne disease cases from June to September each year in Jiaxing City from 2018 to 2023 were collected through the Zhejiang Provincial Foodborne Disease Surveillance Platform. Meteorological data were obtained from the Jiaxing Meteorological Bureau. Air quality data were collected from the National Urban Air Quality Real-time Release Platform. Heat wave were defined based on temperature thresholds and durations. The impact of heat wave on the incidence of foodborne diseases were analyzed by a time stratified case-crossover design with a distributed lag nonlinear model (DLNM). The cumulative relative risk (CRR) and attributable fraction (AF) were calculated to compare the cumulative lagged risks and disease burdens across different genders, age groups, and disease types. Results From June to September each year between 2018 and 2023, a total of 13 026 foodborne disease cases were reported in Jiaxing City, including 6 646 male cases and 6 380 female cases. Among them, 746 cases were aged <15 years, 10 910 cases were aged 15-65 years, and 1 370 cases were aged >65 years. There were 1 425 cases of infectious diarrhea, 9 956 cases of acute gastroenteritis, and 1 645 cases of other foodborne diseases. The DLNM analysis revealed that heat waves defined in different ways increased the risk of foodborne diseases (all CRR>1, P<0.05), and the risk of disease incidence rose with increasing temperature thresholds and durations. When the daily mean temperature was not lower than the 95th percentile of the daily mean temperature from 2018 to 2023 and lasted for at least 4 days, the Akaike Information Criterion was minimized, and the cumulative lagged risk and disease burden of foodborne diseases were relatively high, with a CRR value of 1.32 (95%CI: 1.09-1.60) and an AF value of 2.81% (95%CI: 1.05%-4.31%). Among them, females, individuals aged 15-65 years, and cases of acute gastroenteritis were more significantly affected by heat wave days, with CRR values of 1.37 (95%CI: 1.12-1.67), 1.35 (95%CI: 1.06-1.73), and 1.35 (95%CI: 1.09-1.66), respectively, and AF values of 3.00% (95%CI: 0.82%-4.73%), 3.08% (95%CI: 1.27%-4.61%), and 3.00% (95%CI: 1.04%-4.64%), respectively. Conclusions Heat wave have lagged and cumulative effects on the risk of foodborne disease incidence, increasing both the risk and disease burden. Females, individuals aged 15-65 years, and cases of acute gastroenteritis are more significantly affected by heat wave days.
Key wordsheat wave    foodborne diseases    distributed lag nonlinear model
收稿日期: 2025-01-02      修回日期: 2025-04-24      出版日期: 2025-07-10
中图分类号:  R155.3  
基金资助:嘉兴市科技计划项目(2023AY11037)
作者简介: 宋和佳,硕士,医师,主要从事食品卫生工作
通信作者: 林云,E-mail:ly_zyh@163.com   
引用本文:   
宋和佳, 孙炀明, 贾娟娟, 林云. 热浪对食源性疾病发病的影响[J]. 预防医学, 2025, 37(7): 673-676,681.
SONG Hejia, SUN Yangming, JIA Juanjuan, LIN Yun. Impact of heat wave on the incidence of foodborne diseases. Preventive Medicine, 2025, 37(7): 673-676,681.
链接本文:  
http://www.zjyfyxzz.com/CN/10.19485/j.cnki.issn2096-5087.2025.07.006      或      http://www.zjyfyxzz.com/CN/Y2025/V37/I7/673
[1] 陈亦晨,彭丽,周弋,等.热浪对上海市浦东新区居民每日死亡与疾病负担影响的病例交叉研究[J].环境与职业医学,2020,37(7):657-663.
CHEN Y C,PENG L,ZHOU Y,et al.A case-crossover study on impacts of heat wave on daily mortality and disease burden among residents in Pudong New Area,Shanghai[J].J Environ Occup Med,2020,37(7):657-663.(in Chinese)
[2] 谷少华,金永高,陆蓓蓓,等.2013—2018年宁波市高温热浪致超额死亡风险评价[J].预防医学,2021,33(9):897-901,905.
GU S H,JIN Y G,LU B B,et al.Evaluation of excess mortality risk related to heat wave in Ningbo from 2013 to 2018[J].China Prev Med J,2021,33(9):897-901,905.(in Chinese)
[3] 房启迪,刘盈,程传龙,等.热浪和寒潮对出血性脑卒中发病的影响研究[J].预防医学,2023,35(1):6-10.
FANG Q D,LIU Y,CHENG C L,et al.Effects of heat waves and cold spells on the incidence of hemorrhagic stroke[J].China Prev Med J,2023,35(1):6-10.(in Chinese)
[4] 冯达,张翼,马润美,等.热浪与北京市2型糖尿病患者入院和再入院关系的病例交叉研究[J].环境卫生学杂志,2023,13(1):10-19.
FENG D,ZHANG Y,MA R M,et al.A case-crossover study of relationship between heat wave and hospital admission and readmission for type 2 diabetes in Beijing,China[J].J Environ Hyg,2023,13(1):10-19.(in Chinese)
[5] ZHANG R,LIN Z H,GUO Z,et al.Daily mean temperature and HFMD:risk assessment and attributable fraction identification in Ningbo China[J].J Expo Sci Environ Epidemiol,2021,31(4):664-671.
[6] ANDERSON G B,BELL M L.Heat waves in the United States:mortality risk during heat waves and effect modification by heat wave characteristics in 43 U.S.communities[J].Environ Health Perspect,2011,119(2):210-218.
[7] 翟梦滢,汤巧雨,李永红,等.气候要素对我国诺如病毒急性胃肠炎感染暴发的影响分析[J].环境卫生学杂志,2023,13(3):154-161.
ZHAI M Y,TANG Q Y,LI Y H,et al.Influence of climatic factors on the outbreaks of acute gastroenteritis caused by norovirus in China[J].J Environ Hyg,2023,13(3):154-161.(in Chinese)
[8] 段瑶,李昱颖,胡文琦,等.2011—2013年广州市热浪与感染性腹泻发病关系的初步研究[J].环境与健康杂志,2019,36(11):1003-1006.
DUAN Y,LI Y Y,HU W Q,et al.Relationship between heat wave and incidence of infectious diarrhea in Guangzhou,2011-2013[J].J Environ Health,2019,36(11):1003-1006.(in Chinese)
[9] GUO Y M,GASPARRINI A,ARMSTRONG B G,et al.Heat wave and mortality:a multicountry,multicommunity study[J/OL].Environ Health Perspect,2017,125(8)[2025-04-24].https://doi.org/10.1289/EHP1026.
[10] GASPARRINI A,LEONE M.Attributable risk from distributed lag models[J].BMC Med Res Methodol,2014,14:55-62.
[11] 张彩霞,刘志东,张斐斐,等.时间分层病例交叉研究的R软件实现[J].中国卫生统计,2016,33(3):507-509.
ZHANG C X,ZHANG Z D,ZHANG F F,et al.The implementation of time-stratified case-crossover study in R software[J].Chin J Health Statistics,2016,33(3):507-509.(in Chinese)
[12] GASPARRINI A,ARMSTRONG B,KENWARD M G.Distributed lag non-linear models[J].Stat Med,2010,29(21):2224-2234.
[13] 陈静,夏涛,李茳,等.南沙区其他感染性腹泻病与气象要素的关系初探[J].广东气象,2016,38(3):56-58.
CHEN J,XIA T,LI J,et al.A Preliminary study on the relationship between other infectious diarrheal diseases and meteorological factors in Nansha District[J].Guangdong Meteorol,2016,38(3):56-58.(in Chinese)
[14] 刘勋,孟秋雨.江津区气温对感染性腹泻发病的影响研究[J].预防医学,2021,33(10):1046-1049.
LIU X,MENG Q Y.Effect of air temperature on infectious diarrhea in Jiangjin District[J].China Prev Med J,2021,33(10):1046-1049.(in Chinese)
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