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High levels of cholesterol and BMI in mid-life are associated with late-life cognitive impairment.
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SUPPORTED
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4 sources for · 0 against
Is it true that high levels of cholesterol and BMI in mid-life are associated with late-life cognitive impairment?
Yes. High levels of cholesterol, body mass index, and other midlife vascular risk factors are consistently supported by the literature as significant contributors to late-life cognitive impairment and dementia pathology.
Verdict: SUPPORTED · 4 sources for, 0 against · Last checked
Evidence for · 4
This review highlights midlife vascular and metabolic factors as key components of a life-course prevention model for late-life cognitive decline and dementia.
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N, Q., A, A., & E, S. (2026). Midlife Vascular and Lifestyle Determinants of Late-Life Cognitive Decline and Dementia: A Life-Course Prevention Framework with a Gulf (GCC) Perspective.. doi.org. https://doi.org/10.3390/life16081289
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This study demonstrates that midlife visceral adiposity and higher BMI correlate with Alzheimer's disease amyloid and tau pathology.
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M, D., PK, C., M, N., SH, K., F, R., Y, X., J, L., S, M., L, L., C, N., AM, K., N, H., S, F., J, W., LK, C., CB, S., JE, I., W, D., B, M., SE, S., MR, B., JC, M., TLS, B., & CA, R. (2026). Abdominal adiposity and Alzheimer's disease imaging markers across sex and race at midlife.. doi.org. https://doi.org/10.1177/13872877261455657
This study finds that midlife obesity and other vascular risk factors are independently associated with greater odds of late-life depressive symptoms.
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S, K., VN, M., MT, E., KA, W., ALC, S., ME, P., Jr, M. T., S, S., & RF, G. (2026). Associations of Midlife Vascular Risk Factors With Late-Life Depressive Symptoms: Findings From the ARIC Study.. doi.org. https://doi.org/10.1161/jaha.125.049924
This cohort analysis indicates that metabolically unhealthy profiles in midlife are associated with increased dementia risk.
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M, N., E, O. L., Y, Z., AK, D. A., CA, R., P, L., & IK, K. (2026). Dementia risk by metabolic health and obesity in two prospective cohorts.. doi.org. https://doi.org/10.1186/s12916-026-05002-8
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