Yihui Li , Lei Yan , Pingting Yang , Jiangang Wang
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引用次数: 0
Abstract
Context
Previous research has demonstrated that metabolic abnormalities accelerate cognitive aging. Although obesity is closely linked to metabolic disorders, it exhibits considerable heterogeneity depending on an individual's metabolic status. However, the relationship between this metabolic heterogeneity in obesity and cognitive aging remains unclear.
Objective
We aimed to analyze the effects of various metabolic obesity phenotypes on cognitive aging.
Methods
A total of 7521 participants aged over 45 years from the China Health and Retirement Longitudinal Study (CHARLS) were included. Cognitive function was evaluated through both episodic memory and executive function. The relationship between different metabolic obesity phenotypes and cognitive aging was analyzed using linear mixed models, based on baseline metabolic obesity phenotypes: metabolically healthy normal weight (MHNW), metabolically healthy overweight/obesity (MHOO), metabolically unhealthy normal weight (MUNW), and metabolically unhealthy overweight/obesity (MUOO).
Results
Compared with MHNW, MUNW was associated with accelerated aging of global cognitive function (β = −0.007, 95 % CI: −0.013 to −0.001) and episodic memory (β = −0.008, 95 % CI: −0.016 to −0.001). In contrast, MHOO was associated with a slower decline in episodic memory (β = 0.011, 95 % CI: 0.002 to 0.020). However, none of the metabolic obesity phenotypes showed significant differences in executive function decline compared to MHNW.
Conclusions
Overall, the MUNW phenotype was associated with accelerated aging of global cognitive function and episodic memory, while the MHOO phenotype was associated with a slower decline in episodic memory compared to MHNW. The MUOO group did not differ significantly from MHNW in the three dimensions of cognitive aging.
期刊介绍:
The Journal of Affective Disorders publishes papers concerned with affective disorders in the widest sense: depression, mania, mood spectrum, emotions and personality, anxiety and stress. It is interdisciplinary and aims to bring together different approaches for a diverse readership. Top quality papers will be accepted dealing with any aspect of affective disorders, including neuroimaging, cognitive neurosciences, genetics, molecular biology, experimental and clinical neurosciences, pharmacology, neuroimmunoendocrinology, intervention and treatment trials.