Associations between education attainment and brain‐predicted age difference: a population‐based study

Abstract Background Education, as a proxy for cognitive reserves, has been linked to dementia; however, the association between education attainment and brain health remains unclear. We aim to investigate the association between education attainment and neuroimaging based brain‐predicted age difference (BPAD, the difference between brain age and chronological age). Method The study included 32,322 chronic neurological disease‐free participants (mean age 54.74 ± 7.49 years, 46.58% female) who underwent brain MRI scans 9+ years after baseline. Years of education were self‐reported and categorized as low (7 and 10 years), medium (13, 15, and 19 years), and high (20 years) according to the International Standard Classification of Education. BPAD was predicted based on 1,079 multimodal imaging‐derived phenotypes (including structural and functional MRI) by a LASSO machine learning model. Alzheimer's disease‐related polygenic risk score (PRS AD ) was tertiled as low, moderate and high. Data were analyzed using linear regressions. Result At baseline, 6,332 (19.59%), 10,872 (33.64%), and 15,118 (46.77%) participants had low, medium, and high education, separately. Compared to low education, high education (β [95% CI]: ‐0.230 [‐0.392, ‐0.067]) was related to more negative BPAD. In joint‐effect analysis, the β (95% CI) of BPAD was ‐0.542 (‐0.796, ‐0.289) among participants with high education and low‐to‐moderate PRS AD , compared to those with low education and high PRS AD . Conclusion High education attainment was associated with more negative BPAD, particularly among people with a low‐to‐moderate genetic susceptibility for dementia.

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Journal
Alzheimer s & Dementia
Published
2024-12-01
DOI
https://doi.org/10.1002/alz.089097
Primary Topic
Hormonal Regulation and Hypertension
Type
article
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article

Associations between education attainment and brain‐predicted age difference: a population‐based study

Weili Xu, Jiao Wang, Jun Ma, Huijie Huang
Alzheimer s & Dementia
Hormonal Regulation and Hypertension
article

Associations between education attainment and brain‐predicted age difference: a population‐based study

Weili Xu, Jiao Wang, Jun Ma, Huijie Huang
article en

Abstract

Abstract Background Education, as a proxy for cognitive reserves, has been linked to dementia; however, the association between education attainment and brain health remains unclear. We aim to investigate the association between education attainment and neuroimaging based brain‐predicted age difference (BPAD, the difference between brain age and chronological age). Method The study included 32,322 chronic neurological disease‐free participants (mean age 54.74 ± 7.49 years, 46.58% female) who underwent brain MRI scans 9+ years after baseline. Years of education were self‐reported and categorized as low (7 and 10 years), medium (13, 15, and 19 years), and high (20 years) according to the International Standard Classification of Education. BPAD was predicted based on 1,079 multimodal imaging‐derived phenotypes (including structural and functional MRI) by a LASSO machine learning model. Alzheimer's disease‐related polygenic risk score (PRS AD ) was tertiled as low, moderate and high. Data were analyzed using linear regressions. Result At baseline, 6,332 (19.59%), 10,872 (33.64%), and 15,118 (46.77%) participants had low, medium, and high education, separately. Compared to low education, high education (β [95% CI]: ‐0.230 [‐0.392, ‐0.067]) was related to more negative BPAD. In joint‐effect analysis, the β (95% CI) of BPAD was ‐0.542 (‐0.796, ‐0.289) among participants with high education and low‐to‐moderate PRS AD , compared to those with low education and high PRS AD . Conclusion High education attainment was associated with more negative BPAD, particularly among people with a low‐to‐moderate genetic susceptibility for dementia.

Alzheimer s & DementiaVol. 20(S2)
Army Medical University (CN), Karolinska Institutet (SE), Tianjin Medical University (CN)
Quality Education
Openalex Percentile: Top 62%
Hormonal Regulation and Hypertension
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