Background Korean Peninsula has the distinct seasonal characteristics and the study on seasonality is relatively frequent compared to the relationship with synoptic classification (SSC). In the study, we aimed to investigate the modification effect between air pollution and SSC on mortality. Methods Daily death data were collected through the Korean Statistics between 2000 and 2014 in Seoul, Korea. We conducted the time-series study using Poisson generalized linear models with an allowance of over-dispersion with seven distinctive SSC (Dry moderate [DM], Dry polar [DP], Dry tropical [DT], Moist moderate [MM], Moist polar [MP], Moist tropical [MT], and Transition [T]) and investigated the modification effects between the SSC and PM10 adjusting for other meteorological conditions, and time trend. The estimated effects were expressed as percentage changes in the risk with 95% confidence interval (CI) per interquartile range(IQR) increase in PM10 for daily non-accidental, cardiovascular-, respiratory-related mortality associated with exposure to PM10 at lag 0-4 according to the type of SSC. Results Daily PM10 level was greater in days [DM] (mean, 61.0 u.g/m3) and [DT] (mean, 61.8 u.g/m3) and the overall risk of mortality increase were observed in non-accidental [1.11% (95% CI 0.50%, 1.73%)], and cardiovascular [1.87% (95% CI 0.68%, 3.08%)] for PM10 IQR increase. In addition, we observed the mortality risk modified by SSC and increased effect was observed in [DM], [DT], [MM], [MT], and [T] in non-accidental and cardiovascular-related mortality. In particular, we observed the increased risk in [MT] regardless cause of death with non-accidental [1.86% (95% CI 1.02%, 2.70%)], cardiovascular [2.01% (95% CI 0.37%, 3.67%)], and respiratory [3.78% (95% CI 0.89%, 6.76%)]. Discussion the application of SSC in the investigation of air pollution and short-term health effects assisted to understand the health risks in overall weather condition.
展开▼
机译：背景朝鲜半岛具有明显的季节性特征，与天气分类法（SSC）的关系相比，对季节性的研究相对频繁。在这项研究中，我们旨在研究空气污染和南南合作对死亡率的改善作用。方法通过2000年至2014年韩国首尔市的韩国统计局收集每日死亡数据。我们使用Poisson广义线性模型进行了时间序列研究，并考虑了七个独特的SSC（干中度[DM]，干极[DP]，热带干[DT]，湿性中[MM]，湿性极[MP]，热带潮湿[MT]和过渡[T]），并研究了SSC和PM10之间的变化对其他气象条件和时间趋势的调整作用。估计的影响表示为风险的百分比变化，PM10因每日非偶然的，与心血管疾病，呼吸系统相关的每日死亡率（滞后0- 4根据SSC的类型。结果每天的PM10水平在[DM]（平均61.0 ug / m3）和[DT]（平均61.8 ug / m3）的天中较高，在非偶然的情况下观察到总体死亡率增加风险[1.11％（95％） PM10 IQR增加，CI为0.50％，1.73％）和心血管[1.87％（95％CI为0.68％，3.08％）。此外，我们观察到由SSC改善的死亡风险，并且在[DM]，[DT]，[MM]，[MT]和[T]中观察到非偶然性和心血管相关性死亡率增加的作用。尤其是，我们观察到[MT]的死亡风险增加，无论死因是非偶然的[1.86％（95％CI 1.02％，2.70％）]，心血管[2.01％（95％CI 0.37％，3.67％）]和呼吸[3.78％（95％CI 0.89％，6.76％）]。讨论SSC在空气污染和短期健康影响调查中的应用有助于了解整体天气状况下的健康风险。
展开▼
