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脑卒中筛查目标人群低睡眠质量现况及其影响因素分析
引用本文:马芹颖,李冰,许勇,刘萌,王铭维,王彦永.脑卒中筛查目标人群低睡眠质量现况及其影响因素分析[J].中国全科医学,2020,23(36):4609-4614.
作者姓名:马芹颖  李冰  许勇  刘萌  王铭维  王彦永
作者单位:1.050031河北省石家庄市,河北医科大学第一医院神经内科 2.050031河北省石家庄市,河北省脑老化与认知神经科学实验室 3.050031河北省石家庄市,河北医科大学第一医院医联体办公室 4.050031河北省石家庄市,河北医科大学第一医院脑卒中办公室
*通信作者:王彦永,主任医师;E-mail:13223455938@163.com
注:马芹颖和李冰共同为第一作者
基金项目:河北省健康医疗与生物医药专项(18277705D);河北省老年病防治项目(LNB201807);河北省政府专科能力建设和专科带头人培养项目(LS201806)
摘    要:背景 研究显示睡眠质量与脑血管病关系密切。脑卒中筛查目标人群是指具有脑血管病危险因素的人群,但针对该人群睡眠质量问题的研究较少。目的 调查脑卒中筛查目标人群低睡眠质量现况,并分析其影响因素。方法 本研究以2016年12月-2017年6月参与河北省石家庄市裕华区社区脑卒中筛查的居民作为脑卒中筛查目标人群,采用《2016年度心脑血管病影响因素社区、乡镇人群追访干预调查表》和《匹兹堡睡眠质量指数量表(PSQI)》进行测试,并在受试者知情同意的基础上收集其基本测量指标(如身高、体质量、颈围、腰围、收缩压、舒张压),以PSQI总分>7分作为低睡眠质量,PSQI总分≤7分作为正常睡眠质量进行分析。调研过程中,调查人员为脑卒中筛查目标人群进行问卷讲解,由脑卒中筛查目标人群口述作答,调查人员填写调查问卷。由调查人员依据“8+2”项脑卒中影响因素及判定标准对脑卒中筛查目标人群进行脑卒中发生风险评级,采用多因素Logistic回归分析探究脑卒中筛查目标人群出现低睡眠质量的影响因素。结果 共发放调查问卷4 761份,回收有效问卷4 716份,有效回收率为99.05%。共373例受试者存在低睡眠质量问题,发生率为7.91%。多因素Logistic回归分析结果显示,年龄〔OR=1.030,95%CI(1.018,1.043)〕、性别〔OR=1.478,95%CI(1.116,1.957)〕、婚姻状况〔OR=1.044,95%CI(1.005,1.085)〕、退休情况〔OR=2.402,95%CI(1.758,3.281)〕、饮酒情况〔OR=1.395,95%CI(1.157,1.681)〕、饮食情况〔OR=1.411,95%CI(1.221,1.630)〕、脑卒中发生风险评级〔OR=1.484,95%CI(1.176,1.873)〕是脑卒中筛查目标人群出现低睡眠质量的影响因素(P<0.05)。结论 脑卒中筛查目标人群低睡眠质量问题不可忽视,年龄、性别、婚姻状况、退休情况、饮酒情况、饮食情况、脑卒中发生风险评级是该人群出现低睡眠质量的影响因素。

关 键 词:睡眠异常  卒中  横断面研究  匹兹堡睡眠质量指数量表  影响因素分析    

Prevalence and Influence Factors of Poor Sleep Quality in the Target Population of Stroke Screening
MA Qinying,LI Bing,XU Yong,LIU Meng,WANG Mingwei,WANG Yanyong.Prevalence and Influence Factors of Poor Sleep Quality in the Target Population of Stroke Screening[J].Chinese General Practice,2020,23(36):4609-4614.
Authors:MA Qinying  LI Bing  XU Yong  LIU Meng  WANG Mingwei  WANG Yanyong
Abstract:Background Studies showed that sleep quality is closely related to cerebrovascular disease.The target population of stroke screening is the population with influence factors of cerebrovascular disease,but their sleep quality has been seldom studied.Objective To investigate the prevalence and influence factors of poor sleep quality in the target population for stroke screening.Methods In this study,residents who participated in stroke screening in Yuhua District,Shijiazhuang City,Hebei Province from December 2016 to June 2017 were selected as the target population for a survey after obtaining their informed consent.During the survey,a self-developed questionnaire named 2016 Follow-up Intervention Targeting Cardio-cerebrovascular Influence factors in Community and Township Population was used to collect parameters such as height,weight,neck circumference,waist circumference,systolic blood pressure and diastolic blood pressure,and so on,and the Pittsburgh Sleep Quality Index (PSQI) was used to evaluate the sleep quality (PSQI>7 and PSQI≤7 were defined as poor and normal sleep quality,respectively).The questionnaires were filled by the investigators according to participants' verbal answers in response to the questionnaire questions (with oral explanation when necessary) asked by the investigators.Stroke risks were stratified in accordance with the diagnostic criteria of the "8+2" Stroke Risk Screening Program.Multivariate Logistic regression analysis was used to explore the influence factors of poor sleep quality.Results Among the participants,4 716(99.05%) completed the survey effectively,and 7.91%(373/4 716) were found with poor sleep quality.Multivariate Logistic regression analysis showed that age 〔OR=1.030,95%CI(1.018,1.043)〕,female 〔OR=1.478,95%CI(1.116,1.957)〕,marital status 〔OR=1.044,95%CI(1.005,1.085)〕,retired 〔OR=2.402,95%CI(1.758,3.281)〕,high alcohol consumption 〔OR=1.395,95%CI(1.157,1.681)〕,unhealthy diet 〔OR=1.411,95%CI(1.221,1.630)〕and stroke risks 〔OR=1.484,95%CI(1.176,1.873)〕were associated with increased risk of poor sleep quality in the target population of stroke screening(P<0.05).Conclusion The problem of poor sleep quality in the target population of stroke screening can not be ignored,which may be associated with age,female,marital status,retired,high alcohol consumption,unhealthy diet and stroke risks.
Keywords:Dyssomnias  Stroke  Cross-sectional studies  Pittsburgh sleep quality Index  Root cause analysis  
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