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睡眠时长与不同缺血性卒中亚型的相关性

李曼 吴瑶 田耀华 曹亚英 黄哲 黄少平 刘晓芬 秦雪英 唐迅 李劲 吴涛 陈大方 许蓓蓓 胡永华

李曼, 吴瑶, 田耀华, 曹亚英, 黄哲, 黄少平, 刘晓芬, 秦雪英, 唐迅, 李劲, 吴涛, 陈大方, 许蓓蓓, 胡永华. 睡眠时长与不同缺血性卒中亚型的相关性[J]. 中华疾病控制杂志, 2019, 23(7): 790-795. doi: 10.16462/j.cnki.zhjbkz.2019.07.010
引用本文: 李曼, 吴瑶, 田耀华, 曹亚英, 黄哲, 黄少平, 刘晓芬, 秦雪英, 唐迅, 李劲, 吴涛, 陈大方, 许蓓蓓, 胡永华. 睡眠时长与不同缺血性卒中亚型的相关性[J]. 中华疾病控制杂志, 2019, 23(7): 790-795. doi: 10.16462/j.cnki.zhjbkz.2019.07.010
LI Man, WU Yao, TIAN Yao-hua, CAO Ya-ying, HUANG Zhe, HUANG Shao-ping, LIU Xiao-fen, QIN Xue-ying, TANG Xun, LI Jin, WU Tao, CHEN Da-fang, XU Bei-bei, HU Yong-hua. Associations between sleep duration and different ischemic stroke subtypes[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2019, 23(7): 790-795. doi: 10.16462/j.cnki.zhjbkz.2019.07.010
Citation: LI Man, WU Yao, TIAN Yao-hua, CAO Ya-ying, HUANG Zhe, HUANG Shao-ping, LIU Xiao-fen, QIN Xue-ying, TANG Xun, LI Jin, WU Tao, CHEN Da-fang, XU Bei-bei, HU Yong-hua. Associations between sleep duration and different ischemic stroke subtypes[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2019, 23(7): 790-795. doi: 10.16462/j.cnki.zhjbkz.2019.07.010

睡眠时长与不同缺血性卒中亚型的相关性

doi: 10.16462/j.cnki.zhjbkz.2019.07.010
基金项目: 

国家自然科学基金 81230066

国家自然科学基金 81473043

详细信息
    通讯作者:

    胡永华, E-mail: yhhu@bjmu.edu.cn

  • 中图分类号: R161.1

Associations between sleep duration and different ischemic stroke subtypes

Funds: 

Key Project of National Natural Science Foundation of China 81230066

Key Project of National Natural Science Foundation of China 81473043

More Information
  • 摘要:   目的  探讨睡眠时长与不同缺血性卒中(ischemic stroke,IS)亚型的相关性。  方法  以北京市农村社区居民为研究对象,开展问卷调查、体格检查以及血生化检测。睡眠时长作为分类变量,分为睡眠时长≤ 5 h/d(< 5.5 h/d)、6 h/d(5.5~6.5 h/d)、7 h/d(6.5~7.5 h/d)、8 h/d(7.5~8.5 h/d)、≥ 9 h/d(≥ 8.5 h/d),依据急性卒中Org 10172治疗试验(trial of org 10172 in acute stroke treatment,TOAST)分型对IS进行分型,采用Logistic回归分析模型睡眠时长与不同IS亚型的相关性。  结果  共纳入6 370名研究对象,平均年龄为(58.34±9.37)岁。Logistic回归分析模型显示,在调整年龄、性别、行为生活方式、社会经济状况和健康状态后,与睡眠时长为7 h/d的相比,睡眠时长≤ 5 h/d的患IS、大动脉粥样硬化型卒中,小动脉闭塞型卒中和不明原因型卒中的风险分别是对照组的1.75倍(95%CI:1.42~2.15,P < 0.001)、1.98倍(95%CI:1.46~2.70,P < 0.001)、5.73倍(95%CI:3.34~9.83,P < 0.001)和4.43倍(95%CI:1.86~10.53,P=0.001)。然而,睡眠时长8 h/d和≥ 9 h/d仅在IS和大动脉粥样硬化型卒中中表现出有统计学意义(P < 0.05)。  结论  睡眠不足与IS、大动脉粥样硬化型卒中、小动脉闭塞型卒中和不明原因型卒中风险增加有关,而睡眠过长仅与IS和大动脉粥样硬化型卒中风险增加有关。
  • 表  1  不同睡眠时长研究对象的基本特征[n(%)]

    Table  1.   Basic characteristics of study subjects according to different sleep durations [n(%)]

    特征 睡眠时长 F/χ2 P
    ≤5 h/d 6 h/d 7 h/d 8 h/d ≥9 h/d
    n(%) 940(14.76) 734(11.52) 1 184(18.59) 1 709(26.83) 1 803(28.30) - -
    年龄(岁) 57.61±9.71 57.82±9.19 57.44±8.93 58.20±9.17 59.65±0.59 13.70 <0.001
    性别 4.20 0.379
      男性 443(47.13) 330(44.96) 563(47.55) 835(48.86) 882(48.92)
      女性 497(52.87) 404(55.04) 621(52.45) 874(51.14) 921(51.08)
    教育程度 41.56 <0.001
      小学及以下 420(44.68) 293(39.92) 430(36.32) 662(38.74) 838(46.48)
      初中及以上 520(55.32) 441(60.08) 754(63.68) 1047(61.26) 965(53.52)
    职业 224.97 <0.001
      农民 546(58.09) 304(41.42) 405(34.21) 560(32.77) 567(31.45)
      非农民 394(41.91) 430(58.58) 779(65.79) 1 149(67.23) 1236(68.55)
    人均月收入(元) 129.74 <0.001
      <800 858(91.28) 577(78.61) 881(74.41) 1 259(73.67) 1 351(74.93)
      ≥800 82(8.72) 157(21.39) 303(25.59) 450(26.33) 452(25.07)
    婚姻状况 5.47 0.243
      在婚 840(89.36) 650(88.56) 1 055(89.10) 1 535(89.82) 1 577(87.47)
      非在婚 100(10.64) 84(11.44) 129(10.90) 174(10.18) 226(12.53)
    吸烟 2.77 0.596
      吸烟 442(47.02) 329(44.82) 519(43.83) 760(44.47) 825(45.76)
      非吸烟 498(52.98) 405(55.18) 665(56.17) 949(55.53) 978(54.24)
    下载: 导出CSV

    表  2  睡眠时长与IS及其亚型的多因素Logistic回归分析

    Table  2.   Multivariate logistic regression analysis of the relationship between sleep duration and IS and its subtypes

    睡眠时长 R2
    ≤5 h/d 6 h/d 7 h/d 8 h/d ≥9 h/d
    缺血性卒中
      模型1a 2.19(1.80~2.66) 1.27(1.02~1.58) 1.00 1.27(1.07~1.51) 1.51(1.28~1.80) 0.057
      模型2b 1.69(1.38~2.06) 1.20(0.96~1.50) 1.00 1.28(1.07~1.53) 1.53(1.28~1.82) 0.084
      模型3c 1.75(1.42~2.15) 1.19(0.95~1.49) 1.00 1.29(1.07~1.54) 1.57(1.31~1.88) 0.118
    LAA
      模型1a 2.18(1.64~2.90) 1.22(0.87~1.70) 1.00 1.30(1.00~1.70) 1.64(1.27~2.12) 0.057
      模型2b 1.81(1.35~2.43) 1.17(0.84~1.64) 1.00 1.32(1.01~1.73) 1.61(1.24~2.09) 0.099
      模型3c 1.98(1.46~2.70) 1.20(0.85~1.69) 1.00 1.32(1.00~1.74) 1.71(1.31~2.23) 0.138
    SAO
      模型1a 11.03(6.64~18.31) 1.74(0.90~3.38) 1.00 1.14(0.62~2.07) 1.13(0.62~2.06) 0.139
      模型2b 6.12(3.64~10.28) 1.43(0.73~2.81) 1.00 1.15(0.63~2.10) 1.22(0.66~2.24) 0.217
      模型3c 5.73(3.34~9.83) 1.37(0.70~2.72) 1.00 1.12(0.61~2.08) 1.32(0.71~2.44) 0.259
    SUE
      模型1a 4.10(1.79~9.38) 0.44(0.09~2.09) 1.00 1.46(0.62~3.43) 2.08(0.93~4.69) 0.054
      模型2b 4.14(1.77~9.70) 0.45(0.09~2.11) 1.00 1.43(0.61~3.36) 2.02(0.89~4.55) 0.077
      模型3c 4.43(1.86~10.53) 0.46(0.10~2.19) 1.00 1.46(0.62~3.45) 2.27(0.99~5.16) 0.117
    注:a模型1:调整年龄、性别(男性、女性);b模型2:在模型1的基础上进一步调整教育程度(小学及以下、初中及以上)、职业(农民、非农民)、婚姻状况(在婚、非在婚)、人均月收入(<800元、≥800元)、吸烟(是、否)、饮酒(是、否)、水果摄入(较多、较少)、体力活动情况(规律活动、非规律活动);c模型3:在模型2的基础上进一步调整缺血性卒中家族史(是、否)、BMI、高血压(是、否)、糖尿病(是、否)和TC。
    下载: 导出CSV
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  • 收稿日期:  2018-12-28
  • 修回日期:  2019-05-10
  • 刊出日期:  2019-07-10

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