{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Kim SE"],"funding":["NIA NIH HHS"],"pagination":["e1045-e1057"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC6746207"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["93(11)"],"pubmed_abstract":["<h4>Objective</h4>To investigate whether cardiometabolic factors were associated with age-related differences in cortical thickness in relation to sex.<h4>Methods</h4>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.<h4>Result</h4>Among women, hypertension (β = -1.119 to -0.024, <i>p</i> < 0.05) and diabetes mellitus (β = -0.920, <i>p</i> = 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<sup>2</sup>) and age on cortical thickness in women (β = -0.324 to -0.010, <i>p</i> < 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, <i>p</i> < 0.05). Conversely, among men, only being underweight (BMI ≤18.5 kg/m<sup>2</sup>, β = -2.656 to -0.073, <i>p</i> < 0.05) was associated with lower cortical thickness.<h4>Conclusions</h4>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."],"journal":["Neurology"],"pubmed_title":["Sex-specific relationship of cardiometabolic syndrome with lower cortical thickness."],"pmcid":["PMC6746207"],"funding_grant_id":["P30 AG049638"],"pubmed_authors":["Na DL","Seo SW","Park J","Kim HJ","Jang H","Cho SH","Park S","Lockhart SN","Lee JS","Kim S","Lee B","Woo S","Kim SE","Lee BI","Kim Y","Kim SJ"],"additional_accession":[]},"is_claimable":false,"name":"Sex-specific relationship of cardiometabolic syndrome with lower cortical thickness.","description":"<h4>Objective</h4>To investigate whether cardiometabolic factors were associated with age-related differences in cortical thickness in relation to sex.<h4>Methods</h4>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.<h4>Result</h4>Among women, hypertension (β = -1.119 to -0.024, <i>p</i> < 0.05) and diabetes mellitus (β = -0.920, <i>p</i> = 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<sup>2</sup>) and age on cortical thickness in women (β = -0.324 to -0.010, <i>p</i> < 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, <i>p</i> < 0.05). Conversely, among men, only being underweight (BMI ≤18.5 kg/m<sup>2</sup>, β = -2.656 to -0.073, <i>p</i> < 0.05) was associated with lower cortical thickness.<h4>Conclusions</h4>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.","dates":{"release":"2019-01-01T00:00:00Z","publication":"2019 Sep","modification":"2024-11-09T04:50:10.372Z","creation":"2020-09-13T07:06:20Z"},"accession":"S-EPMC6746207","cross_references":{"pubmed":["31444241"],"doi":["10.1212/WNL.0000000000008084","10.1212/wnl.0000000000008084"]}}