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May 03, 2022; 98 (18) Research Article

Carotid Intima-Media Thickness and Midlife Cognitive Function

Impact of Race and Social Disparities in the Bogalusa Heart Study

Ileana De Anda-Duran, Camilo Fernandez Alonso, David J. Libon, View ORCID ProfileOwen T. Carmichael, View ORCID ProfileVijaya B. Kolachalama, View ORCID ProfileShakira F. Suglia, View ORCID ProfileRhoda Au, View ORCID ProfileLydia A. Bazzano
First published February 28, 2022, DOI: https://doi.org/10.1212/WNL.0000000000200155
Ileana De Anda-Duran
From the Department of Epidemiology (I.D.A.-D., L.A.B.), Tulane University School of Public Health and Tropical Medicine; Department of Medicine (C.F.A., L.A.B.), Tulane University School of Medicine, New Orleans, LA; Department of Psychology (D.J.L.) and New Jersey Institute for Successful Aging (D.J.L.), School of Osteopathic Medicine, Rowan University, Glassboro, NJ; Louisiana State University's Pennington Biomedical Research Centre (O.T.C.), Baton Rouge; Departments of Medicine (V.B.K.) and Anatomy and Neurobiology (R.A.), Boston University School of Medicine; Department of Computer Science and Faculty of Computing and Data Sciences (V.B.K.), Boston University, MA; Department of Epidemiology (S.F.S.), Rollins School of Public Health, Emory University, Atlanta, GA; and Boston University Alzheimer's Disease Center (R.A.), MA.
MD, MPH
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Camilo Fernandez Alonso
From the Department of Epidemiology (I.D.A.-D., L.A.B.), Tulane University School of Public Health and Tropical Medicine; Department of Medicine (C.F.A., L.A.B.), Tulane University School of Medicine, New Orleans, LA; Department of Psychology (D.J.L.) and New Jersey Institute for Successful Aging (D.J.L.), School of Osteopathic Medicine, Rowan University, Glassboro, NJ; Louisiana State University's Pennington Biomedical Research Centre (O.T.C.), Baton Rouge; Departments of Medicine (V.B.K.) and Anatomy and Neurobiology (R.A.), Boston University School of Medicine; Department of Computer Science and Faculty of Computing and Data Sciences (V.B.K.), Boston University, MA; Department of Epidemiology (S.F.S.), Rollins School of Public Health, Emory University, Atlanta, GA; and Boston University Alzheimer's Disease Center (R.A.), MA.
MD
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David J. Libon
From the Department of Epidemiology (I.D.A.-D., L.A.B.), Tulane University School of Public Health and Tropical Medicine; Department of Medicine (C.F.A., L.A.B.), Tulane University School of Medicine, New Orleans, LA; Department of Psychology (D.J.L.) and New Jersey Institute for Successful Aging (D.J.L.), School of Osteopathic Medicine, Rowan University, Glassboro, NJ; Louisiana State University's Pennington Biomedical Research Centre (O.T.C.), Baton Rouge; Departments of Medicine (V.B.K.) and Anatomy and Neurobiology (R.A.), Boston University School of Medicine; Department of Computer Science and Faculty of Computing and Data Sciences (V.B.K.), Boston University, MA; Department of Epidemiology (S.F.S.), Rollins School of Public Health, Emory University, Atlanta, GA; and Boston University Alzheimer's Disease Center (R.A.), MA.
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Owen T. Carmichael
From the Department of Epidemiology (I.D.A.-D., L.A.B.), Tulane University School of Public Health and Tropical Medicine; Department of Medicine (C.F.A., L.A.B.), Tulane University School of Medicine, New Orleans, LA; Department of Psychology (D.J.L.) and New Jersey Institute for Successful Aging (D.J.L.), School of Osteopathic Medicine, Rowan University, Glassboro, NJ; Louisiana State University's Pennington Biomedical Research Centre (O.T.C.), Baton Rouge; Departments of Medicine (V.B.K.) and Anatomy and Neurobiology (R.A.), Boston University School of Medicine; Department of Computer Science and Faculty of Computing and Data Sciences (V.B.K.), Boston University, MA; Department of Epidemiology (S.F.S.), Rollins School of Public Health, Emory University, Atlanta, GA; and Boston University Alzheimer's Disease Center (R.A.), MA.
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Vijaya B. Kolachalama
From the Department of Epidemiology (I.D.A.-D., L.A.B.), Tulane University School of Public Health and Tropical Medicine; Department of Medicine (C.F.A., L.A.B.), Tulane University School of Medicine, New Orleans, LA; Department of Psychology (D.J.L.) and New Jersey Institute for Successful Aging (D.J.L.), School of Osteopathic Medicine, Rowan University, Glassboro, NJ; Louisiana State University's Pennington Biomedical Research Centre (O.T.C.), Baton Rouge; Departments of Medicine (V.B.K.) and Anatomy and Neurobiology (R.A.), Boston University School of Medicine; Department of Computer Science and Faculty of Computing and Data Sciences (V.B.K.), Boston University, MA; Department of Epidemiology (S.F.S.), Rollins School of Public Health, Emory University, Atlanta, GA; and Boston University Alzheimer's Disease Center (R.A.), MA.
PhD
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Shakira F. Suglia
From the Department of Epidemiology (I.D.A.-D., L.A.B.), Tulane University School of Public Health and Tropical Medicine; Department of Medicine (C.F.A., L.A.B.), Tulane University School of Medicine, New Orleans, LA; Department of Psychology (D.J.L.) and New Jersey Institute for Successful Aging (D.J.L.), School of Osteopathic Medicine, Rowan University, Glassboro, NJ; Louisiana State University's Pennington Biomedical Research Centre (O.T.C.), Baton Rouge; Departments of Medicine (V.B.K.) and Anatomy and Neurobiology (R.A.), Boston University School of Medicine; Department of Computer Science and Faculty of Computing and Data Sciences (V.B.K.), Boston University, MA; Department of Epidemiology (S.F.S.), Rollins School of Public Health, Emory University, Atlanta, GA; and Boston University Alzheimer's Disease Center (R.A.), MA.
MS, ScD
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Rhoda Au
From the Department of Epidemiology (I.D.A.-D., L.A.B.), Tulane University School of Public Health and Tropical Medicine; Department of Medicine (C.F.A., L.A.B.), Tulane University School of Medicine, New Orleans, LA; Department of Psychology (D.J.L.) and New Jersey Institute for Successful Aging (D.J.L.), School of Osteopathic Medicine, Rowan University, Glassboro, NJ; Louisiana State University's Pennington Biomedical Research Centre (O.T.C.), Baton Rouge; Departments of Medicine (V.B.K.) and Anatomy and Neurobiology (R.A.), Boston University School of Medicine; Department of Computer Science and Faculty of Computing and Data Sciences (V.B.K.), Boston University, MA; Department of Epidemiology (S.F.S.), Rollins School of Public Health, Emory University, Atlanta, GA; and Boston University Alzheimer's Disease Center (R.A.), MA.
PhD
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  • ORCID record for Rhoda Au
Lydia A. Bazzano
From the Department of Epidemiology (I.D.A.-D., L.A.B.), Tulane University School of Public Health and Tropical Medicine; Department of Medicine (C.F.A., L.A.B.), Tulane University School of Medicine, New Orleans, LA; Department of Psychology (D.J.L.) and New Jersey Institute for Successful Aging (D.J.L.), School of Osteopathic Medicine, Rowan University, Glassboro, NJ; Louisiana State University's Pennington Biomedical Research Centre (O.T.C.), Baton Rouge; Departments of Medicine (V.B.K.) and Anatomy and Neurobiology (R.A.), Boston University School of Medicine; Department of Computer Science and Faculty of Computing and Data Sciences (V.B.K.), Boston University, MA; Department of Epidemiology (S.F.S.), Rollins School of Public Health, Emory University, Atlanta, GA; and Boston University Alzheimer's Disease Center (R.A.), MA.
MD, PhD
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Carotid Intima-Media Thickness and Midlife Cognitive Function
Impact of Race and Social Disparities in the Bogalusa Heart Study
Ileana De Anda-Duran, Camilo Fernandez Alonso, David J. Libon, Owen T. Carmichael, Vijaya B. Kolachalama, Shakira F. Suglia, Rhoda Au, Lydia A. Bazzano
Neurology May 2022, 98 (18) e1828-e1836; DOI: 10.1212/WNL.0000000000200155

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Abstract

Background and Objectives Carotid intima-media thickness (c-IMT) is a measurement of atherosclerosis, a progressive disease that develops as early as childhood and has been linked with cognitive impairment and dementia in the elderly. However, the relationship between c-IMT and midlife cognitive function and the race and social disparities in this relationship remain unclear. We examined the association between c-IMT and cognitive function in midlife among Black and White participants from a semirural community-based cohort in Bogalusa, Louisiana.

Methods In this cross-sectional analysis of participants from the Bogalusa Heart Study, linear regression models were used to determine the association between c-IMT dichotomized above the 50th percentile (>0.87 mm), an a demographically standardized global cognitive score (GCS), and individual cognitive domain–based z scores. Stratified analyses were performed to evaluate the impact of race and the individual's education status.

Results A total of 1,217 participants (age 48 ± 5.28 years) were included; 66% (804) self-identified as White, and 34% (413) self-identified as Black. Of those, 58% (708) were women, and 42% (509) were men. Having a c-IMT ≥50th percentile was inversely associated with GCS (B ± SE −0.39 ± 0.18, p = 0.03), independently of cardiovascular risk factors (CVRFs) and achieved education. The effect remained significant in Black and White participants after adjustment for CVRFs (Black participants: B ± SE −1.25 ± 0.45, p = 0.005; White participants: B ± SE −0.92 ± 0.35, p = 0.008) but not for education. The interaction between c-IMT ≥50th percentile and education was significant (p = 0.03), and stratified analysis showed an association with GCS among those with lower achieved education (B ± SE −0.81 ± 0.33, p = 0.013) independently of major CVRFs.

Discussion Subclinical atherosclerosis, measured as c-IMT, was associated with worse midlife cognitive function, independently of major CVRFs. The association was buffered by education and may be stronger among Black than White participants, likely due to corresponding structural and social determinants. These findings underscore the importance of establishing preventive measures in midlife and suggest subclinical atherosclerosis as a potential target to prevent cognitive decline.

Glossary

AD=
Alzheimer disease;
ADRD=
AD and related dementias;
BHS=
Bogalusa Heart Study;
BMI=
body mass index;
BP=
blood pressure;
c-IMT=
carotid intima-media thickness;
CARDIA=
Coronary Artery Risk Development in Young Adults;
CVRF=
cardiovascular risk factors;
DBP=
diastolic BP;
GCS=
global cognitive z score;
HDL=
high-density lipoprotein;
LCC=
left common carotid;
LIC=
left internal carotid;
NP=
neuropsychological;
RCB=
right carotid bulb;
RCC=
right common carotid;
SBP=
systolic BP;
WAIS-IV=
Wechsler Adult Intelligence Scale 4th edition;
WRAT=
Wide Range Achievement Test

Footnotes

  • Go to Neurology.org/N for full disclosures. Funding information and disclosures deemed relevant by the authors, if any, are provided at the end of the article.

  • eReferences e1–e3 at links.lww.com/WNL/B843.

  • Received August 23, 2021.
  • Accepted in final form January 18, 2022.
  • © 2022 American Academy of Neurology
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