摘要
目的探讨昼夜温差对乌鲁木齐市心脑血管疾病患者住院量的影响。方法收集该市2019—2021年心脑血管疾病日住院量数据,同期气象及污染物数据,采用分布滞后非线性模型(distributed lag no-linear model,DLNM),控制长期趋势、星期几效应及其它因素,分析昼夜温差与心脑血管疾病住院量的关系。结果乌鲁木齐市昼夜温差越大,滞后时间越长,对心脑血管疾病住院风险越高,当达到最大昼夜温差21.0℃时滞后效应显著增加,危险效应在暴露当天即出现,一直持续到第20 d,其中在滞后13d时RR最大为1.266(95%CI:1.129~1.421)。在极高的昼夜温差下,冷季心脑血管疾病住院的风险高于暖季。经性别、年龄分层分析后的结果显示,男性和年龄≥65岁的人群更容易受到昼夜温差的影响。结论极高的昼夜温差是乌鲁木齐市心脑血管疾病住院的潜在诱因。男性与≥65岁人群更易受到昼夜温差的影响,在冷季更应重点保护易感人群免受极高昼夜温差的影响。
Objective To investigate the effect of diurnal temperature difference on hospitalization volume of patients with cardiovascular and cerebrovascular diseases in Urumqi City.Methods The daily hospitalization data for cardiovascular and cerebrovascular diseases in Urumqi City from 2019-2021,and meteorological and pollutant data for the same period were collected.The relationship between diurnal temperature range and hospitalizations for cardiovascular and cerebrovascular diseases was analyzed using a distribution lag non-linear model(DLNM),controlling for the long-term trends,the day-of-week effects and other factors.Results The greater the diurnal temperature range,the longer the lag time,and the higher the risk of hospitalization for cardiovascular and cerebrovascular diseases.The lag effect increased significantly when the maximum diurnal temperature range reached 21.0℃.The risk effect appeared on the day of exposure and lasted until day 20,with a maximum RR of 1.266(95%CI:1.129-1.421)at a lag of 13 days.At very high diurnal temperature range,the risk of hospitalization for cardiovascular and cerebrovascular diseases was higher in the cold season than that in the warm season.Results after stratified analysis by sex and age showed that men and people aged≥65 years were more susceptible to diurnal temperature range.Conclusion Extremely high diurnal temperature range is a potential trigger for hospitalization for cardiovascular and cerebrovascular diseases in Urumqi.Men and people aged≥65 years are more vulnerable to the impact of diurnal temperature range.In the cold season,more attention should be paid to protecting vulnerable people from the impact of the extremely high diurnal temperature difference.
作者
王雯艺
杨浩峰
苏德奇
马倩倩
张博锐
马龙
WANG Wenyi;YANG Haofeng;SU Deqi;MA Qianqian;ZHANG Borui;MA Long(Department of Toxicology,College of Public Health,Xinjiang Medical University,Urumqi,Xinjiang 830011,China;Department of Public Health,Urumqi Center for Disease Control and Prevention,Urumqi,Xinjiang 830000,China)
出处
《公共卫生与预防医学》
2023年第2期50-55,共6页
Journal of Public Health and Preventive Medicine
关键词
昼夜温差
住院量
分布滞后非线性模型
Diurnal temperature range
Hospitalization volume
Distribution lag nonlinear model
