Sex-specific relationship of cardiometabolic syndrome with lower cortical thickness
Year: 2019
Type: article
Study design: Observational Study
Abstract: 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, p < 0.05) and diabetes mellitus (β = −0.920, p = 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/m2) and age on cortical thickness in women (β = −0.324 to −0.010, p < 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, p < 0.05). Conversely, among men, only being underweight (BMI ≤18.5 kg/m2, β = −2.656 to −0.073, p < 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.
Source: Neurology
Institutions: Kangwon National University, Gyeongsang National University, Samsung Medical Center, Kyung Hee University, Chonnam National University Hospital, Inje University Haeundae Paik Hospital, Kyung Hee University Medical Center, Inje University Paik Hospital, Gyeongsang National University Changwon Hospital, Wake Forest University Health Sciences, Wake Forest University, Sungkyunkwan University
Language: English
Subfield: Psychiatry and Mental health
Field: Medicine
Domain: Health Sciences
Open Access status: green
Funder: National Institute on Aging
OpenAlex ID: W2969948831
