观察研究
偏头痛
头痛
医学
优势比
轮班制
荟萃分析
入射(几何)
流行病学
内科学
置信区间
物理疗法
精神科
光学
物理
作者
Zhenzhi Wang,Tao Zhu,Meng Gong,Lin Yin,Hui Zheng
出处
期刊:Sleep Medicine
[Elsevier BV]
日期:2024-02-16
卷期号:115: 218-225
被引量:3
标识
DOI:10.1016/j.sleep.2024.02.011
摘要
To date, there is insufficient research on whether shift work and night work increase the risk of experiencing headaches and migraines. This study aimed to evaluate the potential association between shift work, night shift work, and headache/migraine. We conducted a thorough search of the PubMed, Embase, and Web of Science databases up until October 2023 to identify relevant studies. Our inclusion criteria focused on observational studies that investigated the association between shift work exposure and headache/migraine outcomes. We extracted adjusted risk estimates from each study and calculated pooled odds ratios using either fixed or random-effects models. Our methodology followed the Meta-Analysis Group guidelines for observational studies in epidemiology. To ensure accuracy and consistency, two investigators independently reviewed the retrieved records and extracted data based on the predefined inclusion criteria. This meta-analysis included a total of seven studies involving 422,869 participants. The pooled analysis revealed a significant association between shift work and an increased risk of headaches (HR = 1.32, 95% CI: 1.15–1.52, P < 0.001). Specifically, individuals working night shifts had a 44% higher risk of developing headaches (HR = 1.44, 95% CI: 1.09–1.90, P = 0.011). Furthermore, shift work was also found to be associated with a higher incidence of migraines (HR = 1.63, 95% CI: 1.27–2.08, P < 0.001). Interestingly, night shift work was associated with a decreased incidence of migraines (HR = 0.74, 95% CI: 0.57–0.96, P = 0.024). Our study found a noteworthy association between shift work/night work and the occurrence of headaches and migraines. However, it is important to note that our study does not establish a causal relationship. Future research should investigate potential common vulnerability factors, such as genetics or health behaviors. This knowledge can help inform the implementation of preventive measures and interventions to mitigate the health risks associated with shift work.
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