天气是否与偏头痛有关
Delora Elizabeth Denney1, Jane Lee2, Shivang Joshi3
1University of Mississippi Medical Center, 2500 N State Street, Jackson, MS, 39213, USA. ddenney@umc.edu.
Current pain and headache reports
|February 15, 2024
概括
天气变化可以影响偏头痛发作,但这种联系是不一致的,并且因人而异. 强烈的天气因素可能会产生更大的影响,尽管天气与其他因素相结合是更重要的偏头痛触发因素.
科学领域:
- 神经学 神经学
- 环境医学 环境医学
- 流行病学 流行病学
背景情况:
- 偏头痛是一种常见的神经疾病.
- 患者经常报告天气作为偏头痛触发因素.
- 现有的关于天气和偏头痛的研究显示出混合的结果.
研究的目的:
- 审查当前关于天气对偏头痛的影响的研究.
- 探索天气,炎症疾病和神经递质之间的联系.
主要方法:
- 最近研究的文献综述.
- 分析天气变量与偏头痛发作之间的关联.
- 探索与其他炎症状况的联系.
主要成果:
- 气压,湿度和风等天气变量显示出与偏头痛的潜在联系.
- 天气对偏头痛发作的整体影响估计约为20%,而显著的天气因素的影响更大.
- 发现天气和偏头痛模式之间没有明确的因果关系,突出显示了个体的变化.
- 在其他疼痛和类风湿病症中也观察到类似的与天气有关的模式.
结论:
- 虽然天气可以影响偏头痛发作,但这种关系是复杂和不一致的.
- 个体对天气变化的反应有很大的不同.
- 综合因素,包括天气,似乎是偏头痛的关键触发因素,而不是仅仅是天气.
相关概念视频
Correlation
11.7K
In statistics, two variables are said to be correlated if the values of one variable are associated with the other variable. Depending on the relationship between two variables, correlation can be of three types– positive correlation, negative correlation, and zero correlation.
Two variables, for example, a and b, are said to be positively correlated if both variables move in the same direction. In other words, a positive correlation exists between two variables, a and b, if:
Two variables, for example, a and b, are said to be positively correlated if both variables move in the same direction. In other words, a positive correlation exists between two variables, a and b, if:
11.7K
Correlations
32.8K
Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...
32.8K
What is Weather?
18.2K
Overview
18.2K
Precipitation and Co-precipitation
1.8K
Precipitation and coprecipitation methods can be used to separate a mixture of ions in a solution. In qualitative inorganic analysis, ions that form sparingly soluble precipitates with the same reagent are separated based on the differences in solubility products. For example, consider the separation of Cu(II) and Fe(II) ions by precipitation as insoluble sulfides. First, copper(II) sulfide is precipitated by the addition of acidic H2S, where the dissociation of H2S is suppressed. Adding H2S...
1.8K
Calculating and Interpreting the Linear Correlation Coefficient
6.0K
The correlation coefficient, r, developed by Karl Pearson in the early 1900s, is numerical and provides a measure of strength and direction of the linear association between the independent variable, x, and the dependent variable, y. Hence, it is also known as the Pearson product-moment correlation coefficient. It can be calculated using the following equation:
6.0K
Factors Affecting Body Temperature
4.1K
As a nurse, it is vital to understand the factors affecting body temperature to monitor variations and effectively evaluate deviations from regular.
Factors may include:
Factors may include:
4.1K


