机构地区:[1]南京中医药大学,江苏210023
出 处:《护理研究》2025年第7期1068-1075,共8页Chinese Nursing Research
基 金:国家自然科学基金资助项目,编号:72174095;江苏省科技项目(社会发展面上项目),编号:BE2022802;2023年江苏省研究生实践创新计划,编号:SJCX23_0832。
摘 要:目的:识别轻度认知障碍(mild cognitive impairment,MCI)病人睡眠潜在分型,并探究不同睡眠分型的特征和影响因素。方法:2023年3月—12月,采用方便抽样法选取江苏省南京市社区轻度认知障碍老年人为研究对象。采用一般资料调查表、蒙特利尔认知评估量表(MoCA)、简易精神状态量表(MMSE)、日常生活活动能力量表(ADL)、临床痴呆评定量表(CDR)进行神经心理学测试,并使用匹兹堡睡眠质量指数量表(PSQI)和体动记录仪(ActiGraphy)对其睡眠状况进行评估和监测。根据体动记录仪监测的客观睡眠特征为观察变量,通过潜在剖面分析识别轻度认知障碍病人的睡眠潜在分型。采用单因素分析和无序多分类Logistic回归分析探究不同睡眠分型的特征及影响因素。结果:共纳入217例轻度认知障碍病人,潜在剖面分析结果显示,轻度认知障碍病人睡眠可分为4个潜在类别:睡眠不足-低效型(31.3%)、睡眠良好型(30.0%)、睡眠碎片化型(27.6%)与入睡困难型(11.1%)。不同睡眠分型轻度认知障碍病人在性别、痴呆家族史、吸烟、退休后再就业、社交活动、体育锻炼、高血压、FRAIL及MoCA评分方面存在差异(P<0.05)。以睡眠良好型为参照,无序多分类Logistic回归分析结果显示,性别、吸烟、退休后再就业、衰弱状况和认知功能是轻度认知障碍病人睡眠分型的影响因素。结论:轻度认知障碍病人睡眠存在显著群体异质性,医护人员应对轻度认知障碍病人进行全面睡眠评估,识别其睡眠分型,并采取不同睡眠分型给予针对性睡眠管理和干预策略,以改善轻度认知障碍病人睡眠状况,延缓认知衰退进展。Objective:To identify potential sleep typing in MCI patients and to explore the characteristics and influencing factors ofdifferent sleep typing.Methods:From March to December in 2023,community-based MCI older adults in Nanjing,Jiangsu Province,China,were enrolled in the study using convenience sampling method.Neuropsychological tests were conducted using the GeneralInformation Questionnaire,Montreal Cognitive Assessment Scale(MoCA),Brief Mental State Exercise(MMSE),Ability to PerformDaily Living(ADL),and Clinical Dementia Rating Scale(CDR),and their sleep conditions were assessed and monitored using thePittsburgh Sleep Quality Index(PSQI) and ActiGraphy.Potential sleep subtypes of MCI patients were identified by latent profileanalysis based on objective sleep characteristics monitored by the somatic ActiGraphy as observational variables.Univariate analysis andunordered multicategorical Logistic regression analysis were used to explore the characteristics and influencing factors of different sleep typologies.Results:A total of 217 MCI patients were recruited in this study,and the results of the potential profiling analysis showed thatthe sleep of MCI patients could be categorized into four potential categories:sleep deprivation-ineffective(31.3%),good sleep(30.0%),sleep fragmentation(27.6%) and difficulty falling asleep(11.1%).Significant differences were found in gender,family history ofdementia,smoking,re-employment after retirement,social activities,physical activity,hypertension,and FRAIL and MoCA scoresamong MCI patients with different sleep typologies(P<0.05).The results of unordered multicategorical Logistic regression analysis,The results of multicategorical Logistic regression analysis showed that gender,smoking,re-employment after retirement,frailty status,and cognitive function were the influencing factors of sleep typing in MCI patients.Conclusion:MCI patients' sleep is characterized bysignificant group heterogeneity.Healthcare professionals should conduct a comprehensive sleep assessment of MCI patie
关 键 词:轻度认知障碍 睡眠障碍 睡眠特征 潜在剖面分析 影响因素
分 类 号:R74[医药卫生—神经病学与精神病学]
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