Cognitive Function Profiles and Associated Factors in Older Adults Living with Type 2 Diabetes: A Latent Profile Analysis

作者：Bao-Hui Ye, Mengxia Pan, Xiaoju Lei, Ying Wen, Qiong Zhang · 发表于：Clinical Interventions in Aging · 年份：2025 · DOI：10.2147/cia.s553115 · 被引用次数：2 · 研究领域：Dementia and Cognitive Impairment Research、Diabetes Management and Education、Diabetes Treatment and Management

Objective: This study aims to explore the latent profile characteristics of cognitive function in older adults living with diabetes and analyze the influencing factors, providing theoretical evidence for early intervention. Methods: A cross-sectional study design was used to select older adults living with diabetes hospitalized at a tertiary hospital as the study population. Cognitive function was assessed using the Mini-Mental State Examination (MMSE). Demographic characteristics, disease-related data (such as duration of diabetes, BMI, and HbA1c levels), and lifestyle factors (such as sleep quality, physical activity, and social support) were collected. Latent profile analysis (LPA) was employed to classify cognitive function, and ordered multinomial logistic regression was performed to analyze the influencing factors of each cognitive profile. Results: A total of 564 patients were included. Latent profile analysis of cognitive impairment identified three categories: complete cognitive impairment (12.82%), partial cognitive impairment (54.74%), and at-risk cognitive impairment (32.44%). Logistic regression analysis revealed that gender, education level, duration of diabetes, HbA1c, diverse intellectual activities, and nutrition were independent factors influencing cognitive impairment (P<0.05). Conclusion: Cognitive impairment in older adults living with diabetes exhibits distinct profile characteristics and is influenced by multiple factors. Interventions should focus on i...