Literature DB >> 32665523

Association of SBP and BMI with cognitive and structural brain phenotypes in UK Biobank.

Amy C Ferguson1, Rachana Tank1, Laura M Lyall1, Joey Ward1, Paul Welsh2, Carlos Celis-Morales2, Ross McQueenie1, Rona J Strawbridge1,3,4, Daniel F Mackay1, Jill P Pell1, Daniel J Smith1, Naveed Sattar2, Jonathan Cavanagh1, Donald M Lyall1.   

Abstract

OBJECTIVE: To test for associations between SBP and BMI, with domain-specific cognitive abilities and examine which brain structural phenotypes mediate those associations.
METHODS: Using cross-sectional UK Biobank data (final N = 28 412), we examined SBP/BMI vs. cognitive test scores of pairs-matching, matrix completion, trail making test A/B, digit symbol substitution, verbal-numerical reasoning, tower rearranging and simple reaction time. We adjusted for potential confounders of age, sex, deprivation, medication, apolipoprotein e4 genotype, smoking, population stratification and genotypic array. We tested for mediation via multiple structural brain imaging phenotypes and corrected for multiple testing with false discovery rate.
RESULTS: We found positive associations for higher BMI with worse reaction time, reasoning, tower rearranging and matrix completion tasks by 0.024-0.067 SDs per BMI SD (all P < 0.001). Higher SBP was associated with worse reasoning (0.034 SDs) and matrix completion scores (-0.024 SDs; both P < 0.001). Both BMI and SBP were associated with multiple brain structural metrics including total grey/white matter volumes, frontal lobe volumes, white matter tract integrity and white matter hyperintensity volumes: specific metrics mediated around one-third of the associations with cognition.
CONCLUSION: Our findings add to the body of evidence that addressing cardiovascular risk factors may also preserve cognitive function, via specific aspects of brain structure.

Entities:  

Year:  2020        PMID: 32665523     DOI: 10.1097/HJH.0000000000002579

Source DB:  PubMed          Journal:  J Hypertens        ISSN: 0263-6352            Impact factor:   4.844


  5 in total

1.  Relationship Between Metabolic Syndrome and Cognitive Function: A Population-Based Study of Middle-Aged and Elderly Adults in Rural China.

Authors:  Changqing Zhan; Qiao Wang; Jie Liu; Lei Wang; Zongsheng Chen; Hongbo Pang; Jun Tu; Xianjia Ning; Jinghua Wang; Shizao Fei
Journal:  Diabetes Metab Syndr Obes       Date:  2021-04-30       Impact factor: 3.168

2.  Association between the Erythrocyte Membrane Fatty Acid Profile and Cognitive Function in the Overweight and Obese Population Aged from 45 to 75 Years Old.

Authors:  Jingyi Shen; Jinchen Li; Yinan Hua; Bingjie Ding; Cui Zhou; Huiyan Yu; Rong Xiao; Weiwei Ma
Journal:  Nutrients       Date:  2022-02-21       Impact factor: 5.717

3.  The relationship between isolated hypertension with brain volumes in UK Biobank.

Authors:  Danielle Newby; Laura Winchester; William Sproviero; Marco Fernandes; Upamanyu Ghose; Donald Lyall; Lenore J Launer; Alejo J Nevado-Holgado
Journal:  Brain Behav       Date:  2022-04-01       Impact factor: 3.405

4.  Different cardiovascular risk factors are related to distinct white matter hyperintensity MRI phenotypes in older adults.

Authors:  Jasmin A Keller; Ilse M J Kant; Arjen J C Slooter; Simone J T van Montfort; Mark A van Buchem; Matthias J P van Osch; Jeroen Hendrikse; Jeroen de Bresser
Journal:  Neuroimage Clin       Date:  2022-07-29       Impact factor: 4.891

5.  Associations Between Brain Volumes and Cognitive Tests with Hypertensive Burden in UK Biobank.

Authors:  Danielle Newby; Laura Winchester; William Sproviero; Marco Fernandes; Dai Wang; Andrey Kormilitzin; Lenore J Launer; Alejo J Nevado-Holgado
Journal:  J Alzheimers Dis       Date:  2021       Impact factor: 4.472

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.