气温变化对资阳市消化系统疾病的影响OA
Effects of Temperature Variations on Digestive System Disease in Ziyang City
基于资阳市2016-2020年消化科逐日入院病例及同期气象数据,采用分布—滞后非线性模型研究日最低/高气温(Daily Maximum/Minimum Temperature,Tmax/Tmin)、气温日较差(Diurnal Temperature Range,DTR)及日际变温(Temperature Change Between Neighboring Days,TCN)与入院人数的关联性,对性别、年龄进行分层,探讨多气温因子的协同效应.结果显示:资阳市消化系统疾病风险在气温偏高时显著上升,且在冬半年更为明显.冬、夏半年分别取Tmin 的P95(17、27℃)为代表值时,对应最强滞后日的相对危险度(Relative Risk,RR)分别为1.08(95%CI:1.00,1.17)、1.06(95%CI:1.01,1.11);Tmax取23、35℃时,RR为1.05(95%CI:1.01,1.10)、1.01(95%CI:0.96,1.06).DTR偏大对发病存在滞后影响,老年组和男性风险较高.日际正变温的影响强于负变温,男性较女性更敏感.二元交互模型显示,气温偏高起主导性作用,当其伴随偏大的气温日较差或明显升温时,发病风险显著升高.亚热带盆地地区消化道疾病受暖湿气候的影响显著,患者需增强对剧烈变温的适应能力.
To investigate the effects of air temperature and its short term fluctuations(diurnal and inter daily)on the risk of digestive diseases risk under the subtropical climate in Ziyang,Sichuan,this study collected daily hospital admissions for digestive diseases and corresponding daily meteorological observations from 2016 to 2020.A distributed lag non-linear model was used to analyze the effects of daily minimum temperature(Tmin),daily maximum temperature(Tmax),Diurnal Temperature Range(DTR),and temperature change between neighboring days(TCN)on digestive disease risk.Differences between gender and age subgroups were examined,and synergistic effects among multiple factors were explored.The results show a significant association between higher temperatures and increased morbidity,with Tmin having stronger effects in the cold season than in the warm season.Specifically,when Tmin reaches 17℃(95th percentile)in the cold season and 27℃in the warm season,the highest relative risks are 1.08(95%CI:1.00,1.17)and 1.06(95%CI:1.01,1.11),respectively.For Tmax,the relative risks are 1.05(95%CI:1.01,1.10)at 23℃in the cold season and 1.01(95%CI:0.96,1.06)at 35℃in the warm months.Lower temperatures have no significant impact on morbidity.Large DTRs have a strong and delayed impact on digestive diseases,especially among the elderly and males.TCN shows an overall positive relationship with hospital admissions,indicating that positive temperature variations have a stronger effect than negative variations,particularly among males.The binary model indicates that high temperatures have a dominant influence on morbidity compared to temperature fluctuations.When warm weather coincides with larger DTRs or remarkable warming processes,hospital admissions increase significantly.
杨杨;马盼;李璧倩;汤雨涛;周宁;王式功
成都信息工程大学大气科学学院/环境气象与健康研究院,四川 成都 610225成都信息工程大学大气科学学院/环境气象与健康研究院,四川 成都 610225||成都平原城市气象与环境四川省野外科学观测研究站,四川 成都 610225资阳市人民医院,四川 资阳 641300成都信息工程大学大气科学学院/环境气象与健康研究院,四川 成都 610225兰州市第一人民医院,甘肃 兰州 730000成都信息工程大学大气科学学院/环境气象与健康研究院,四川 成都 610225
资源环境
消化系统疾病日最低气温日最高气温气温波动协同效应资阳市
digestive diseasedaily minimum temperaturedaily maximum temperaturetemperature fluctuationsynergistic effectZiyang City
《沙漠与绿洲气象》 2026 (2)
53-62,10
国家自然科学基金(42205185)四川省自然科学基金(2024NSFSC0773)中国气象局青年创新团队项目(CMA2024QN15)成都信息工程大学大学生创新创业训练项目(202410621021)
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