Zhu Wenzhi, Wei Xingfu, Zhang Li, Shi Qin, Shi Guoxiu, Zhang Xiaofei, Wang Minzhen, Yin Chun, Kang Feng, Bai Yana, Nie Yonghong, Zheng Shan
Institute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, 730000, China.
Gansu Provincial Maternity and Child-Care Hospital, Lanzhou, 730000, China.
Int Arch Occup Environ Health. 2021 Nov;94(8):1783-1795. doi: 10.1007/s00420-021-01699-7. Epub 2021 Apr 26.
Diurnal temperature range (DTR) is a meteorological indicator closely associated with global climate change. Thus, we aim to explore the effects of DTR on the outpatient and emergency room (O&ER) admissions for cardiovascular diseases (CVDs), and related predictive research.
The O&ER admissions data for CVDs from three general hospitals in Jinchang of Gansu Province were collected from 2013 to 2016. A generalized additive model (GAM) with Poisson regression was employed to analyze the effect of DTR on the O&ER admissions for all cardiovascular diseases, hypertension, ischemic heart disease (IHD) and stoke. GAM was also used to preform predictive research of the effect of DTR on the O&ER admissions for CVDs.
There were similar positive linear relationships between DTR and the O&ER visits with the four cardiovascular diseases. And the cumulative lag effects were higher than the single lag effects. A 1 °C increase in DTR corresponded to a 1.30% (0.99-1.62%) increase in O&ER admissions for all cardiovascular diseases. Males and elderly were more sensitivity to DTR. The estimates in non-heating season were higher than in heating season. The trial prediction accuracy rate of CVDs based on DTR was between 59.32 and 74.40%.
DTR has significantly positive association with O&ER admissions for CVDs, which can be used as a prediction index of the admissions of O&ER with CVDs.
昼夜温差(DTR)是一种与全球气候变化密切相关的气象指标。因此,我们旨在探讨昼夜温差对心血管疾病(CVD)门诊及急诊室(O&ER)就诊人数的影响以及相关预测研究。
收集了甘肃省金昌市三家综合医院2013年至2016年心血管疾病的门诊及急诊室就诊数据。采用泊松回归广义相加模型(GAM)分析昼夜温差对所有心血管疾病、高血压、缺血性心脏病(IHD)和中风的门诊及急诊室就诊人数的影响。GAM还用于对昼夜温差对心血管疾病门诊及急诊室就诊人数的影响进行预测研究。
昼夜温差与这四种心血管疾病的门诊及急诊室就诊人次之间存在相似的正线性关系。且累积滞后效应高于单滞后效应。昼夜温差每升高1℃,所有心血管疾病的门诊及急诊室就诊人数增加1.30%(0.99 - 1.62%)。男性和老年人对昼夜温差更敏感。非供暖季节的估计值高于供暖季节。基于昼夜温差的心血管疾病试验预测准确率在59.32%至74.40%之间。
昼夜温差与心血管疾病的门诊及急诊室就诊人数呈显著正相关,可作为心血管疾病门诊及急诊室就诊人数的预测指标。