Kim Jayeun, Yoon Kyuhyun, Choi Jay Chol, Kim Ho, Song Jung-Kook
Institute of Health and Environment, Seoul National University, Seoul, Republic of Korea.
Nursing Science Research Institute, Chung-Ang University, Seoul, Republic of Korea.
Environ Res. 2016 Oct;150:97-105. doi: 10.1016/j.envres.2016.05.041. Epub 2016 Jun 4.
Although several studies have investigated the effects of ambient temperature on the risk of stroke, few studies have examined the relationship between other meteorological conditions and stroke. Therefore, the aim of this study was to analyze the association between wind-related variables and stroke symptoms onset.
Data regarding the onset of stroke symptoms occurring between January 1, 2006, and December 31, 2007 on Jeju Island were collected from the Jeju National University Hospital stroke registry. A fixed-strata case-crossover analysis based on time of onset and adjusted for ambient temperature, relative humidity, air pressure, and pollutants was used to analyze the effects of wind speed, the daily wind speed range (DWR), and the wind chill index on stroke symptom onset using varied lag terms. Models examining the modification effects by age, sex, smoking status, season, and type of stroke were also analyzed.
A total of 409 stroke events (381 ischemic and 28 hemorrhagic) were registered between 2006 and 2007. The odds ratios (ORs) for wind speed, DWR, and wind chill among the total sample at lag 0-8 were 1.18 (95% confidence interval (CI): 1.06-1.31), 1.08 (95% CI: 1.02-1.14), and 1.22 (95% CI: 1.07-1.39) respectively. The ORs for wind speed, DWR, and wind chill for ischemic stroke patients were slightly greater than for patients in the total sample (OR=1.20, 95% CI: 1.08-1.34; OR=1.09, 95% CI: 1.03-1.15; and OR=1.22, 95% CI: 1.07-1.39, respectively). Statistically significant season-specific effects were found for spring and winter, and various delayed effects were observed. In addition, age, sex, and smoking status modified the effect size of wind speed, DWR, and wind chill.
Our analyses showed that the risk of stroke symptoms onset was associated with wind speed, DWR, and wind chill on Jeju Island.
尽管已有多项研究探讨了环境温度对中风风险的影响,但很少有研究考察其他气象条件与中风之间的关系。因此,本研究旨在分析与风相关的变量与中风症状发作之间的关联。
从济州国立大学医院中风登记处收集了2006年1月1日至2007年12月31日期间济州岛发生的中风症状发作数据。采用基于发作时间并针对环境温度、相对湿度、气压和污染物进行调整的固定分层病例交叉分析,使用不同的滞后项来分析风速、每日风速范围(DWR)和风寒指数对中风症状发作的影响。还分析了考察年龄、性别、吸烟状况、季节和中风类型的修正效应的模型。
2006年至2007年期间共登记了409例中风事件(381例缺血性中风和28例出血性中风)。在滞后0至8时,总样本中风速、DWR和风寒的优势比(OR)分别为1.18(95%置信区间(CI):1.06 - 1.31)、1.08(95%CI:1.02 - 1.14)和1.22(95%CI:1.07 - 1.39)。缺血性中风患者的风速、DWR和风寒的OR略高于总样本患者(OR分别为1.20,95%CI:1.08 - 1.34;OR为1.09,95%CI:1.03 - 1.15;OR为1.22,95%CI:1.07 - 1.39)。在春季和冬季发现了具有统计学意义的特定季节效应,并观察到了各种延迟效应。此外,年龄、性别和吸烟状况改变了风速、DWR和风寒的效应大小。
我们的分析表明,济州岛中风症状发作的风险与风速、DWR和风寒有关。