非最佳的表面温度可以增加的风险:一项多中心时间序列研究
Hao Liu1, Chunyan Yao2, Chunlei Tan3
1Department of Disease Prevention and Control, Daping Hospital, State Key Laboratory of Trauma and Chemical Poisoning, Army Medical University, Third Military Medical University), Chongqing, 400042, China.
International journal of biometeorology
|January 19, 2026
概括
极端温度,冷和热的表面温度 (AT) 都与风险增加有关. 年轻人和男性特别容易受到这些影响,这突显了对皮肤健康的新关注.
科学领域:
- 环境健康 环境健康
- 皮肤病学 皮肤病学
- 流行病学 流行病学
背景情况:
- 全球极端温度事件的增加引发了人们对非最佳温度对健康的影响的担忧.
- 非最佳表面温度 (AT) 和发病率之间的关系在很大程度上仍未被探索.
研究的目的:
- 调查短期非最佳表面温度 (AT) 和门诊所访问之间的关联.
- 确定潜在的弱势群体,特别是按年龄和性别分类.
主要方法:
- 从2015年到2019年,在中国重庆利用了一个多中心研究设计.
- 收集每天关于门诊所访问,气象因素和空气污染物的数据.
- 采用分布式滞后非线性模型 (DLNM) 来分析AT和访问之间的关联.
主要成果:
- 寒冷和热的表面温度 (AT) 都显示出与风险增加的显著关联.
- 冷AT表现出从lag0到lag3 (单个滞后) 和从lag0到lag7 (累积滞后) 的显著影响,在lag07时的峰值相对风险为1.34.
- 热AT显示了从lag0到lag3 (单个滞后) 和从lag0到lag7 (累积滞后) 的显著影响,在lag03.0时峰值相对风险为1.17. 发现年轻患者 (<25岁) 和男性更容易受到感染.
结论:
- 这项研究提供了第一个证据,将非最佳的表面温度 (AT) 与风险增加联系起来.
- 不理想的温度是的重要风险因素,特别是在年轻人群和男性中.
- 这些发现有助于了解极端温度对皮肤健康,特别是的不利影响.
相关概念视频
Increased Body Temperature
6.4K
A body temperature above 38°C (100.4 °F) is known as fever or pyrexia, and a person with fever is termed 'febrile.' Typically, the hypothalamus, a part of the brain that acts as the body's thermostat, regulates body temperature through a thermoregulatory setpoint. It receives signals from cold and warm thermal receptors throughout the body and adjusts the body's temperature accordingly. Fever occurs when this hypothalamic setpoint is altered, usually in...
6.4K
03:10A Rat Model of Compound Acne
3.7K
This protocol outlines the procedure for inducing acne inflammation in rat skin with oleic acid and Cutibacterium...
3.7K
Time-Series Graph
5.0K
A time-series graph is a line graph with repeated measurements taken at successive intervals of time. It is also called a time series chart. To construct a time-series graph, one must look at both pieces of a paired data set. The horizontal axis is used to plot the time increments, and the vertical axis is used to plot the values of the variable that one is measuring. By using the axes in this way, each point on the graph will correspond to time and a measured quantity. The points on the graph...
5.0K
Discrete-Time Fourier Series
663
The Discrete-Time Fourier Series (DTFS) is a fundamental concept in signal processing, serving as the discrete-time counterpart to the continuous-time Fourier series. It allows for the representation and analysis of discrete-time periodic signals in terms of their frequency components. Unlike its continuous counterpart, which utilizes integrals, the calculation of DTFS expansion coefficients involves summations due to the discrete nature of the signal.
For a discrete-time periodic signal x[n]...
For a discrete-time periodic signal x[n]...
663
07:12Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time
12.7K
Informational connectivity measures the correspondence between time courses of multi-voxel information across different brain regions. Multi-voxel pattern discriminability time series are extracted from regions and compared, revealing networks that are not identified in a typical functional connectivity...
12.7K
Balmer Series
5.6K
Source: Smaa Koraym at Johns Hopkins University, MD, USA
5.6K

