日均气温对上海市浦东新区居民猝死影响的时间序列研究OA
Effects of daily mean temperature on sudden death among residents of Pudong New Area,Shanghai:A time-series study
[背景]我国猝死粗死亡率呈持续上升趋势.上海市浦东新区作为高度城市化、人口密集且受城市热岛效应显著影响的区域,随着气候变化,近年来极端气温频繁出现,目前尚缺乏针对气温与当地居民猝死关联的研究. [目的]探讨浦东新区日均气温与居民猝死的相关性,为降低人群猝死风险提供依据. [方法]收集 2016-2021年浦东新区居民猝死数据、气象数据(日均气温、日均相对湿度、日均大气压)及大气污染物数据[大气颗粒物(PM10)、二氧化硫(SO2)、二氧化氮(NO2)],并借助分布滞后非线性模型分析日均气温对居民总人群猝死及由心脑血管疾病导致的猝死的滞后效应和累积效应(当日以及 0~3、0~7、0~14、0~21 d);并按性别、年龄及文化程度进行分层分析,以确定敏感人群.通过计算非适宜气温导致人群死亡的归因人数(AN)和归因分值(AF),评估环境温度对猝死所造成的归因疾病负担. [结果]2016-2021年浦东新区累计报告猝死病例数 19 458例,其中由心脑血管疾病导致的猝死人数为 11 082例(56.95%).低温(P5,4.6℃)与高温(P95,30.2℃)均对猝死产生影响,低温效应对居民猝死及由心脑血管疾病导致的猝死的累积风险均在 lag0~21 d达到最大;高温效应对居民猝死及心脑血管疾病导致的猝死的累积风险则分别在 lag0~7 d与 lag0~3 d达到最大.分层分析结果显示,女性、≥65岁、小学及以下文化程度人群对低温效应更敏感;女性、<65岁及中学及以上文化程度人群对高温效应更敏感.以 21.5℃为最适温度(死亡风险最低温度),归因于非适宜气温的总猝死 AN为 3 791(95%CI:1 853~5 587)例,AF为 20.41%(95%CI:9.47%~28.94%);其中,低温效应 AN 为 3 358(95%CI:1 087~5 062)例,AF为 17.26%(95%CI:5.89%~26.01%),高温效应 AN为 225(95%CI:-274~655)例,AF为 2.03%(95%CI:-2.53%~5.78%).心脑血管疾病所致猝死中,归因于非适宜气温的 AN为 2 721(95%CI:1 747~5 575)例,AF为 24.55%(95%CI:9.59%~28.65%);其中,低温效应 AN为 2 496(95%CI:988~3 562)例,AF为 22.53%(95%CI:8.97%~32.41%),高温效应 AN为 614(95%CI:-15~1 176)例,AF为3.15%(95%CI:-0.08%~6.02%). [结论]2016-2021年浦东新区居民猝死风险在低温(P5,4.6℃)与高温(P95,30.2℃)环境下均显著上升,高温效应短促,低温影响则表现出明显的累积性.在低温环境下,女性、≥65岁老年人群、小学及以下文化程度人群的猝死风险更高;在高温环境下,女性、<65岁及中学及以上文化程度人群猝死风险更高.低温造成的归因疾病负担显著高于高温.建议在极端温度天气中加强对上述脆弱人群的健康防护.
[Background]The crude mortality rate of sudden death has shown a steady upward trend.Pudong New Area,Shanghai,is a highly urbanized and densely populated district that is substan-tially affected by the urban heat island effect and has experienced frequent extreme temperature events in recent years.However,evidence on the association between ambient temperatures and sudden death among local residents remains limited. [Objective]To examine the association between daily mean temperature and sudden death in Pudong New Area,and to provide evidence for reducing temperature-related risks of sudden death. [Methods]Data on sudden death,meteorological factors(daily average temperature,daily average relative humidity,and daily average air pressure),and air pollutants[inhalable particulate matter(PM10),sulfur dioxide(SO2),and nitrogen dioxide(NO2)]in Pudong New Area from 2016 to 2021 were collected.A distributed lag non-linear model was used to examine the associations of daily mean temperature with total sudden death and sudden death due to cardiovascular and cerebrovascular diseases,including lagged and cumulative effects(lag0,0-3,0-7,0-14,and 0-21 d).Stratified analyses were performed by sex,age,and education level to identify vulnerable populations.The temperature attributable burden of sudden death was assessed by calculating attributable number(AN)and attribute fraction(AF). [Results]A total of 19 458 sudden deaths were reported in Pudong New Area from 2016 to 2021,of which 11 082(56.95%)were due to cardiovascular and cerebrovascular diseases.Both low(P5,4.6℃)and high(P95,30.2℃)temperatures were associated with increased risks of sudden death.The cumulative risks associated with low temperature peaked at lag 0-21 d for both total sudden death and sudden death due to cardiovascular and cerebrovascular diseases.In contrast,the cumulative risks associated with high temperature peaked at lag 0-7 d for total sudden death and at lag 0-3 d for sudden death due to cardiovascular and cerebrovascular diseases.Stratified analyses showed that females,individuals aged≥65 years,and those with primary school education or below were more sensitive to low tempera-ture;whereas females,individuals aged<65 years,and those with secondary school education or above were more sensitive to high temperature.Using 21.5℃as the minimum mortality temperature,the AN of total sudden deaths attributable to non-optimal temperature was 3 791(95%CI:1 853,5 587),with an AF of 20.41%(95%CI:9.47%,28.94%);the AN attributable to low temperature was 3 358(95%CI:1 087,5 062),with an AF of 17.26%(95%CI:5.89%,26.01%),whereas the AN attributable to high temperature was 225(95%CI:-274,655),with an AF of 2.03%(95%CI:-2.53%,5.78%).For sudden deaths due to cardiovascular and cerebrovascular diseases,the AN at-tributable to non-optimal temperature was 2 721(95%CI:1 747,5 575),with an AF of 24.55%(95%CI:9.59%,28.65%);the AN attributable to low temperature was 2 496(95%CI:988,3 562),with an AF of 22.53%(95%CI:8.97%,32.41%),whereas the AN attributable to high temperature was 614(95%CI:-15,1 176),with an AF of 3.15%(95%CI:-0.08%,6.02%). [Conclusions]Both low(P5,4.6℃)and high(P95,30.2℃)temperatures are associated with increased risks of sudden death in Pudong New Area,Shanghai.High temperature shows a relative short-term effect,whereas low temperature shows a stronger cumulative effect.Females,people≥65 years,and individuals with primary school educational attainment or below are more vulnerable to low tempera-ture,while females,people<65 years,and those with secondary school educational attainment or above are more vulnerable to high temperature.The attributable burden of low temperature is greater than that of high temperature.Targeted health protection measures should be strengthened for vulnerable populations during extreme temperature events.
韩思悦;孙良红;陈华;曲晓滨;盛嘉懿;胡彩霞;王森;陈亦晨;薛曹怡
上海市浦东新区疾病预防控制中心(上海市浦东新区卫生健康监督所),复旦大学浦东预防医学研究院综合业务办公室,上海 200136上海市浦东新区疾病预防控制中心(上海市浦东新区卫生健康监督所),复旦大学浦东预防医学研究院综合业务办公室,上海 200136上海市浦东新区疾病预防控制中心(上海市浦东新区卫生健康监督所),复旦大学浦东预防医学研究院综合业务办公室,上海 200136上海市浦东新区疾病预防控制中心(上海市浦东新区卫生健康监督所),复旦大学浦东预防医学研究院综合业务办公室,上海 200136上海市浦东新区疾病预防控制中心(上海市浦东新区卫生健康监督所),复旦大学浦东预防医学研究院综合业务办公室,上海 200136上海市浦东新区疾病预防控制中心(上海市浦东新区卫生健康监督所),复旦大学浦东预防医学研究院综合业务办公室,上海 200136上海市浦东新区疾病预防控制中心(上海市浦东新区卫生健康监督所),复旦大学浦东预防医学研究院综合业务办公室,上海 200136上海市浦东新区疾病预防控制中心(上海市浦东新区卫生健康监督所),复旦大学浦东预防医学研究院综合业务办公室,上海 200136上海市浦东新区疾病预防控制中心(上海市浦东新区卫生健康监督所),复旦大学浦东预防医学研究院综合业务办公室,上海 200136
医药卫生
猝死日均气温分布滞后非线性模型归因疾病负担时间序列分析
sudden deathdaily average temperaturedistributed lag non-linear modelattributable disease burdentime-series analysis
《环境与职业医学》 2026 (8)
959-966,8
浦东新区卫生科技项目(PW2023A-27)上海市浦东新区卫生系统学科带头人培养计划项目(PWRd2024-07)
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