| 姜丹琪,康 勋,康 庄,杨守博,李文斌.睡眠质量与脑胶质瘤致病关系的探索性研究[J].,2022,(6):1169-1173 |
| 睡眠质量与脑胶质瘤致病关系的探索性研究 |
| Poor-quality Sleep Might Be Risk Factors for Gliomas: A Pilot Study of 226 Individuals |
| 投稿时间：2021-09-23 修订日期：2021-10-18 |
| DOI：10.13241/j.cnki.pmb.2022.06.036 |
| 中文关键词: 脑胶质瘤 睡眠质量 危险因素 探索性研究 |
| 英文关键词: Glioma Sleep Quality Risk factor Pilot study |
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| 中文摘要: |
| 摘要 目的：探索睡眠质量与脑胶质瘤致病可能存在的关系，为脑胶质瘤的病因学研究提供一定科学的依据。方法：对 2017年 6月 -2018年 10月期间在首都医科大学附属北京世纪坛医院及首都医科大学附属北京天坛医院就诊，并经术后病理诊断为脑胶质瘤的患者 109例，及对照组 117例，用问卷调查方式采样信息，包含性别、年龄、吸烟史、饮酒史、BMI、肿瘤家族史、居住地区、颅脑损伤史、睡眠质量情况（匹兹堡睡眠质量指数量表 PSQI）。通过病例 -对照的研究方法，采用二元 Logistic回归分析，分析睡眠质量与脑胶质瘤致病间可能存在的关联性。结果：单因素 Logistic回归分析结果示睡眠质量差（OR=1.468，95%CI:1.275-2.275）、睡眠时间短（OR=1.797，95%CI:1.070-3.015）、睡眠效率低（OR=2.992，95%CI:2.259-3.964）、匹兹堡睡眠质量指数量表总分高（OR=1.180，95%CI:1.093-1.272），提示上述因素可能与脑胶质瘤的致病存在关联，且具有统计学意义（P<0.05）；多因素二元 Logistic回归分析结示，在带入性别、年龄、吸烟史、饮酒史、BMI、肿瘤家族史、居住地区、颅脑损伤史等暴露因素后，睡眠质量评分高，即睡眠质量差（OR=1.457，95%CI: 1.060-2.002）、睡眠效率评分高，即睡眠效率低（OR=4.267，95%CI: 2.634-6.914），可能与脑胶质瘤的致病存在关联。结论：我们的研究表明，睡眠质量差、睡眠效率低与脑胶质瘤的致病可能存在关联，希望为脑胶质瘤病因学的进一步研究提供一定的参考依据。 |
| 英文摘要: |
| ABSTRACT Objective: This study explores the risk factors for glioma, in order to provide a scientific basis for the further etiology research and prevention of glioma. Methods: A case-control study method was used. All the cases, who consist of 109 patients with pathologically diagnosed glioma, were recruited from the patients treated in the Beijing Tiantan Hospital Affiliated to the Capital Medical University and Beijing Shijitan Hosptial Affiliated to the Capital Medical University from June, 2017 to October, 2018. And controls of 117 people. Study subjects were interviewed in the hospital ward, using a structured questionnaire administered by trained interviewers. The risk factors related to glioma were analysed by Logistic regression. Results: The results of unvariable analysis showed that there might has association between glioma and poorer sleep quality（OR=1.468, 95%CI:1.275-2.275）, shorter sleep time（OR=1.797, 95%CI: 1.070-3.015）, lower sleep efficiency（OR=2.992, 95% CI:2.259-3.964）, and Pittsburgh sleep scale total score（OR=1.180, 95% CI: 1.093-1.272）, the results were statistically significant (P<0.05). Adding other exporse factors,the results of multi-logistic regression analysis results showed that there might has association between glioma and poorer sleep quality（OR=1.457, 95% CI: 1.060-2.002）, and lower sleep efficiency（OR=4.267, 95% CI: 2.634-6.914）, also the results were statistically significant (P<0.05). Conclusion: This study use a case-control study, through logistic regression analysis, found that worse sleep quality and low sleep efficiency might be positive to the occurence of glioma. As a pilot study, hoping can provide a scientific basis for the further etiology research and prevention of glioma. |
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