Temporal associations between weather and headache: analysis by empirical mode decomposition.
Temporal associations between weather and headache: analysis by empirical mode decomposition.
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DOI：
10.1371/journal.pone.0014612
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发表时间：
2011-01-31
期刊：
影响因子：
3.7
通讯作者：
Wang SJ
中科院分区：
文献类型：
--
作者：
Yang AC;Fuh JL;Huang NE;Shia BC;Peng CK;Wang SJ
患者经常报告天气变化引发头痛或加重现有头痛症状。最近，经验模态分解（EMD）的方法已被用来描绘时间的关系，在某些疾病，我们应用这种技术来确定内在的天气成分与头痛发病率数据来自大台北地区的大规模流行病学调查头痛。研究样本包括52名随机选择的头痛患者。采用EMD方法对天气时间序列参数进行去趋势处理，得到一组隐含的振荡分量，即本征模态函数（IMF）。多元线性回归模型与逐步前进的方法被用来分析天气和头痛之间的时间关联。我们发现天气变量的原始时间序列与头痛发病率之间没有关联。对于分解的内在天气IMF，温度，日照时数，湿度，压力和最大风速与头痛发病率在寒冷时期，而只有最大风速在温暖时期。在分析所有重要的天气变量时，来自温度和日照时间数据的IMF占寒冷时期头痛发病率方差的33.3%。头痛发病率与天气IMF的关系在寒冷时期与冷锋相吻合。使用EMD分析，我们发现头痛和内在的天气成分之间存在显着的关联，这是通过直接比较原始天气数据没有检测到的。贡献的天气参数可能在不同的地理区域和不同的季节中变化。
Patients frequently report that weather changes trigger headache or worsen existing headache symptoms. Recently, the method of empirical mode decomposition (EMD) has been used to delineate temporal relationships in certain diseases, and we applied this technique to identify intrinsic weather components associated with headache incidence data derived from a large-scale epidemiological survey of headache in the Greater Taipei area. The study sample consisted of 52 randomly selected headache patients. The weather time-series parameters were detrended by the EMD method into a set of embedded oscillatory components, i.e. intrinsic mode functions (IMFs). Multiple linear regression models with forward stepwise methods were used to analyze the temporal associations between weather and headaches. We found no associations between the raw time series of weather variables and headache incidence. For decomposed intrinsic weather IMFs, temperature, sunshine duration, humidity, pressure, and maximal wind speed were associated with headache incidence during the cold period, whereas only maximal wind speed was associated during the warm period. In analyses examining all significant weather variables, IMFs derived from temperature and sunshine duration data accounted for up to 33.3% of the variance in headache incidence during the cold period. The association of headache incidence and weather IMFs in the cold period coincided with the cold fronts. Using EMD analysis, we found a significant association between headache and intrinsic weather components, which was not detected by direct comparisons of raw weather data. Contributing weather parameters may vary in different geographic regions and different seasons.
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