EDITORIAL
Macronutrients, Lifestyle, and Cognitive Ageing: Beyond Binary Interpretations
Chih-Yuan Ko
Department of Clinical Nutrition, the Second Affiliated Hospital of Fujian Medical University, Quanzhou, China, 362000
Corresponding Author: Chih-Yuan Ko. The Second Affiliated Hospital of Fujian Medical University, No. 34, Zhongshanbei Rd, Licheng District, Quanzhou, Fujian Province, China, 362000. E-mail: [email protected]
Received: September 02, 2025 Published: September 29, 2025
Citation: Chih-Yuan Ko. Macronutrients, Lifestyle, and Cognitive Ageing: Beyond Binary Interpretations. Int J Complement Intern Med. 2025;6(4):427–430. DOI: 10. 58349/IJCIM. 4. 6. 2025. 00159
Copyright: ©2025 Yuan Ko. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and build upon your work non-commercially.
Abstract
Inconsistent associations between macronutrient composition and cognitive ageing often reflect binary framings that ignore context. By binary interpretation we mean dichotomous framings that overlook dose response, substitution among macronutrients, and heterogeneity by diet quality, energy balance, and metabolic or genetic risk. We propose a context-informed framework that prioritises dietary quality, sets protein and carbohydrate targets by metabolic risk and body composition, and integrates nutrition with activity and sleep to support cognitive reserve. We distinguish model-specific findings in repair-deficient mice from populationlevel evidence linking carbohydrate quality and prudent dietary patterns with healthier cognitive ageing. We outline pragmatic trials with prespecified cognitive outcomes, explicit substitution within high-quality patterns, risk stratification, adherence measurement, and clear reporting of energy balance. Macronutrient targets should be treated as context-dependent substitutions and tested accordingly.
References
1. van Galen I, Birkisdóttir MB, Ozinga RA, et al. High protein intake causes gene-length-dependent transcriptional decline, shortens lifespan and accelerates ageing in progeroid DNA repair-deficient mice. NPJ Metab Health Dis. 2025;3:20.
2. Coelho-Júnior HJ, Calvani R, Landi F, et al. Protein Intake and Cognitive Function in Older Adults: A Systematic Review and Meta-Analysis. Nutr Metab Insights. 2021;14:11786388211022373.
3. Ardisson Korat AV, Duscova E, Shea MK, et al. Dietary Carbohydrate Intake, Carbohydrate Quality, and Healthy Aging in Women. JAMA Netw Open. 2025;8(5):e2511056.
4. Song J, Bai H, Xu H, et al. HbA1c Variability and the Risk of Dementia in Patients with Diabetes: A MetaAnalysis. Int J Clin Pract. 2022;2022:7706330.
5. Underwood PC, Zhang L, Mohr DC, et al. Glycated Hemoglobin A1c Time in Range and Dementia in Older Adults With Diabetes. JAMA Netw Open. 2024;7(8):e2425354.
6. Jia J, Zhao T, Liu Z, et al. Association between healthy lifestyle and memory decline in older adults: 10 year, population based, prospective cohort study. BMJ. 2023;380:e072691.
7. Shannon OM, Ranson JM, Gregory S, et al. Mediterranean diet adherence is associated with lower dementia risk, independent of genetic predisposition: findings from the UK Biobank prospective cohort study. BMC Med. 2023;21(1):81.
8. Booth S, Sarah S, Fung T, et al. Dietary Patterns and Risk of Cognitive Decline, Dementia, Alzheimer's Disease, and Mild Cognitive Impairment: A Systematic Review. USDA Nutrition Evidence Systematic Review, November 2024.
9. Barnes LL, Dhana K, Liu X, et al. Trial of the MIND Diet for Prevention of Cognitive Decline in Older Persons. N Engl J Med. 2023;389(7):602-611.
10. Tingö L, Bergh C, Rode J, et al. The Effect of Whole-Diet Interventions on Memory and Cognitive Function in Healthy Older Adults - A Systematic Review. Adv Nutr. 2024;15(9):100291.