| 李芹
，王培福
，吴涛
，高金颖
，苗凤茹
，李继来
，邱石
，杜继臣.航天工作者偏头痛患病率及相关因素分析[J].神经损伤功能重建,2018,13(2):73-75 |
| 航天工作者偏头痛患病率及相关因素分析 |
| Prevalence and Related Factors of Migraine in Aerospace Workers |
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| DOI： |
| 中文关键词: 偏头痛 航天工作者 危险因素 |
| 英文关键词: migraine aerospace workers risk factors |
| 基金项目: |
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| 摘要点击次数: 3166 |
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| 中文摘要: |
| 目的：调查航天工作者的偏头痛患病率及临床特征，探讨航天工作者偏头痛的危险因素，并为偏头痛
的防治提供有效策略。方法：采取分层随机整群抽样的方法，对1 200名航天工作者进行头痛问卷调查，问
卷内容包括人口统计学资料、头痛诊断问题、睡眠质量。结果：136 例符合偏头痛诊断标准，患病率为
12.3%；先兆偏头痛52例（38.2%），无先兆偏头痛84例(61.8%)；平均年龄（33±10.72）岁；男性46例（33.8%），
女性90例（66.2%）；大学以上学历占比最高（92.6%）；疼痛部位为单侧86例（63.2%），搏动性62例（45.6%）；
发作时间为 4～72 h 88 例（64.7%）；中重度 112 例（72.3%）；伴随症状出现畏声 64 例（47.1%），恶心 59 例
（43.3%）；活动加重头痛86例（63.2%）；诱发因素中睡眠缺乏99例（72.8%）。单因素分析显示，不同性别、职
业类型、睡眠质量组间偏头痛的分布存在统计学差异（P<0.05）。多因素Logistic回归分析显示，女性、睡眠
质量差者患偏头痛的风险较高（P<0.05）。结论：航天工作者偏头痛患病率较高，性别（女）和睡眠障碍是其
主要危险因素。 |
| 英文摘要: |
| To investigate the prevalence and clinical characteristics of migraine in aerospace workers, explore the risk factors of migraine, and provide effective strategies for the prevention and treatment of migraine. Methods: A total of 1200 aerospace workers were investigated by stratified random cluster sampling and
surveyed using a questionnaire of content including demographic data, headache diagnosis question, and sleep
quality. Results: 136 cases met the diagnostic criteria of migraine, and the prevalence rate was 12.3%. Among
these there were 52 cases (38.2%) of migraine with aura and 84 cases (61.8%) of migraine without aura. The average age was (33±10.72) years. There were 46 males (33.8%) and 90 females (66.2%). The majority of patients
(92.6%) possessed a college education. There were 86 cases (63.2%) with unilateral pain and 62 cases (45.6%)
with pulsatile pain. Duration of attack was 4-72 hours in 88 cases (64.7% ), and moderately severe cases numbered 112 (72.3%). 64 cases (47.1%) were accompanied by symptoms of phonophobia. 59 patients (43.3%) experienced nausea, and 86 patients (63.2%) had headaches which were aggravated by activity. Lack of sleep was the
inducing factor in 99 cases (72.8%). Univariate analysis showed significant difference in the distribution of migraine among different sex, occupation type, and sleep quality groups (P<0.05). Multivariate Logistic regression
showed that being female and poor sleep quality resulted in significantly increased risk for migraines (P<0.05).
Conclusion: Migraine has high prevalence in aerospace workers; gender (female) and sleep disorders are
among the main risk factors. |
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