Potential profile analysis of cognitive impairment in the elderly population with mild cognitive impairment
10.3760/cma.j.issn.0254-9026.2025.07.016
- VernacularTitle:轻度认知障碍老年人群认知功能的潜在剖面分析
- Author:
Qing PAN
1
;
Miao WANG
;
Xuting DONG
;
Hui XU
;
Lei XU
;
Han CAI
Author Information
1. 皖南医学院，芜湖 241002
- Publication Type:Journal Article
- Keywords:
Mild cognitive impairment;
Depression;
Vitamin D;
Potential profile analysis
- From:
Chinese Journal of Geriatrics
2025;44(7):951-956
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the latent profiles of cognitive function in older adults with mild cognitive impairment(MCI)and to analyze the influencing factors, as well as to develop targeted interventions.Methods:The data for this study were obtained from a cross-sectional study conducted from May to December 2023.Peterson's criteria and the Chinese guidelines for the diagnosis and treatment of dementia and cognitive impairment(V)were employed to screen for MCI among 1, 650 elderly individuals aged 60 and above in a specific community.The Montreal Cognitive Assessment Scale(MoCA)and the Centre for Epidemiological Studies Depression Scale(CES-D)were utilized to assess cognitive ability and depression levels, respectively.Serum vitamin D3 levels were measured using mass spectrometry.Potential profile models of cognitive function in MCI patients were analyzed using Mplus 8.3, and the influencing factors of the latent profiles were identified through multivariate logistic regression.Results:A total of 327 older adults with MCI were initially screened, revealing a prevalence rate of 19.82%.Out of these, 295 patients were ultimately included in the study.The cognitive impairment of these participants was categorized into three profiles: the mild low-cognitive group(49.15%), the mild low-cognitive with severely low-abstraction group(41.70%), and the severely low-cognitive group(9.15%).Logistic regression analysis identified several independent predictors for the severely low-cognitive group among older adults with MCI: education level(primary and below compared to high school and above: OR=7.343, P<0.001; junior high compared to high school and above: OR=1.689, P=0.004), depression level( OR=1.120, P=0.002), and napping habits(with napping habits compared to without: OR=0.255, P=0.006).Additionally, education level( OR=3.535, P<0.001), depression level( OR=1.125, P<0.001), and serum vitamin D3 levels( OR=0.811, P=0.035)were found to be independent predictors for the mild low-cognitive with severely low-abstraction group in older adults with MCI. Conclusions:Cognitive impairment in older adults with MCI exhibits heterogeneity, which can be categorized into three potential profiles.Targeted interventions should be implemented based on the characteristics and influencing factors of each category to mitigate cognitive decline among older adults with MCI.
