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温度和气压对杭州贝尔麻痹发病率的影响:分布滞后非线性分析。

Effect of temperature and air pressure on the incidence of Bell's palsy in Hangzhou: a distributed lag non-linear analysis.

机构信息

The First School of Clinical Medicine of Zhejiang, Chinese Medical University, Hangzhou, 310053, Zhejiang, China.

Department of Acupuncture and Moxibustion, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Traditional Chinese Medicine), Hangzhou, 310006, Zhejiang, China.

出版信息

Sci Rep. 2023 Nov 22;13(1):20424. doi: 10.1038/s41598-023-47570-2.

DOI:10.1038/s41598-023-47570-2
PMID:37993478
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10665392/
Abstract

The etiology of Bell's palsy (BP) is currently unknown, and the findings from previous studies examining the association between seasonal or meteorological factors and BP have been inconsistent. This research aims to clarify this relationship by analyzing a larger dataset and employing appropriate statistical methods. Data from 5387 patients with BP treated at Zhejiang Provincial Hospital of Traditional Chinese Medicine in Hangzhou, Zhejiang Province, from May 1, 2018, to June 30, 2023, was gathered. We assessed the temporal distribution of meteorological factors and the incidence of BP across seasons and months. A distributed lag non-linear model was used to further investigate the lagged and overall effects of temperature and air pressure on the onset of BP. The temporal distribution of BP incidence revealed the highest average number of cases occurring in December and the lowest in June. A correlation existed between BP episodes and temperature or air pressure. The model revealed a higher relative risk during periods of low temperature and high air pressure, characterized by a time lag effect. This correlation was notably more pronounced in female patients and individuals in the young and middle-aged groups. Our findings suggest that exposure to low temperatures and high air pressure constitute risk factors for BP development.

摘要

贝尔麻痹(BP)的病因目前尚不清楚,之前研究季节或气象因素与 BP 之间关系的结果也不一致。本研究旨在通过分析更大的数据集和使用适当的统计方法来阐明这种关系。收集了 2018 年 5 月 1 日至 2023 年 6 月 30 日期间在浙江省杭州市浙江省中医院治疗的 5387 例 BP 患者的数据。我们评估了气象因素的时间分布以及 BP 在不同季节和月份的发病情况。使用分布式滞后非线性模型进一步研究温度和气压对 BP 发病的滞后和总体影响。BP 发病率的时间分布显示,平均病例数最高的月份是 12 月,最低的是 6 月。BP 发作与温度或气压之间存在相关性。该模型显示,在低温和高气压期间,相对风险更高,具有时间滞后效应。这种相关性在女性患者和年轻及中年人群中更为明显。我们的研究结果表明,暴露于低温和高气压是 BP 发展的危险因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/092f/10665392/b182fa1ecbf9/41598_2023_47570_Fig7_HTML.jpg
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