Latent profile analysis of sleep characteristics of patients with mild cognitive impairment and influencing factors
TIAN Meng
SONG Yulei
ZHANG Xueqing
CHEN Yuqing
XU Guihua
BAI Yamei
Abstract：Objective:To identify potential sleep typing in MCI patients and to explore the characteristics and influencing factors of different 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 General Information Questionnaire,Montreal Cognitive Assessment Scale(MoCA),Brief Mental State Exercise(MMSE),Ability to Perform Daily Living(ADL),and Clinical Dementia Rating Scale(CDR),and their sleep conditions were assessed and monitored using the Pittsburgh Sleep Quality Index(PSQI)and ActiGraphy.Potential sleep subtypes of MCI patients were identified by latent profile analysis based on objective sleep characteristics monitored by the somatic ActiGraphy as observational variables.Univariate analysis and unordered 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 that the 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 of dementia,smoking,re-employment after retirement,social activities,physical activity,hypertension,and FRAIL and MoCA scores among 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 by significant group heterogeneity.Healthcare professionals should conduct a comprehensive sleep assessment of MCI patients,identify their sleep typing,and adopt targeted sleep management and intervention strategies for different sleep typing in order to improve the sleep status of MCI patients and delay the progression of cognitive decline.
Keywords：mild cognitive impairmentMCIsleep disordersleep characteristicslatent profile analysisinfluencing factors
Publication Date：2025-04-10
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：8( 1068-1075 )