Sex-specific Relationship of Cardiometabolic Syndrome with Lower Cortical Thickness
Authors
Affiliations
Objective: To investigate whether cardiometabolic factors were associated with age-related differences in cortical thickness in relation to sex.
Methods: In this cross-sectional study, we enrolled 1,322 cognitively normal elderly (≥65 years old) individuals (774 [58.5%] men, 548 [41.5%] women). We measured cortical thickness using a surface-based analysis. We analyzed the associations of cardiometabolic risk factors with cortical thickness using multivariate linear regression models after adjusting for possible confounders and interactions with age.
Result: Among women, hypertension (β = -1.119 to -0.024, < 0.05) and diabetes mellitus (β = -0.920, = 0.03) were independently associated with lower mean cortical thickness. In addition, there was an interaction effect between obesity (body mass index [BMI] ≥27.5 kg/m) and age on cortical thickness in women (β = -0.324 to -0.010, < 0.05), suggesting that age-related differences in cortical thickness were more prominent in obese women compared to women with normal weight. Moreover, low education level (<6 years) was correlated with lower mean cortical thickness (β = -0.053 to -0.046, < 0.05). Conversely, among men, only being underweight (BMI ≤18.5 kg/m, β = -2.656 to -0.073, < 0.05) was associated with lower cortical thickness.
Conclusions: Our findings suggest that cortical thickness is more vulnerable to cardiometabolic risk factors in women than in men. Therefore, sex-specific prevention strategies may be needed to protect against accelerated brain aging.
Sarcopenia is a predictor for Alzheimer's continuum and related clinical outcomes.
Kim J, Suh S, Park Y, Kang M, Chung S, Lee E Sci Rep. 2024; 14(1):21074.
PMID: 39256402 PMC: 11387779. DOI: 10.1038/s41598-024-62918-y.
Park C, Park Y, Kwak K, Choi S, Kim H, Na D Front Aging Neurosci. 2024; 16:1423515.
PMID: 39206118 PMC: 11349618. DOI: 10.3389/fnagi.2024.1423515.
Li M, Yu Q, Anayyat U, Yang H, Wei Y, Wang X Geroscience. 2024; 46(6):6229-6256.
PMID: 38904930 PMC: 11493917. DOI: 10.1007/s11357-024-01223-y.
Lee S, Kim S, Jang H, Kim J, Sohn G, Park Y Alzheimers Res Ther. 2024; 16(1):125.
PMID: 38863019 PMC: 11167921. DOI: 10.1186/s13195-024-01483-y.
Kang S, Yoo H, Cheon B, Kim J, Jang H, Kim H Front Aging Neurosci. 2023; 15:1277392.
PMID: 37901792 PMC: 10603302. DOI: 10.3389/fnagi.2023.1277392.