Domain-specific effects of exercise types on cognitive function in healthy older adults: A systematic review with pairwise and Bayesian network meta-analysis.
Key Insights
- Exercise is increasingly recognized as a promising non-pharmacological strategy for supporting cognitive function in older adults.
- However, it remains unclear which exercise types are most beneficial for specific cognitive domains.
- This study compared the effects of different exercise types on cogni.
Show formatted citation
@misc{ acaciamarkets-research-domain-specific-effects-of-exercise-types-on-cognitive-funct,
title = { Domain-specific effects of exercise types on cognitive function in healthy older adults: A systematic review with pairwise and Bayesian network meta-analysis. },
author = { W Li, X An, Y Zhang et al. },
year = { 2026 },
doi = { 10.1016/j.maturitas.2026.109109 },
url = { https://pubmed.ncbi.nlm.nih.gov/42696867/ },
note = {Summarized and classified by AcaciaFund}
}
TY - GEN TI - Domain-specific effects of exercise types on cognitive function in healthy older adults: A systematic review with pairwise and Bayesian network meta-analysis. AU - W Li, X An, Y Zhang et al. PY - 2026 DO - 10.1016/j.maturitas.2026.109109 UR - https://pubmed.ncbi.nlm.nih.gov/42696867/ ER -
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Overview
Exercise is increasingly recognized as a promising non-pharmacological strategy for supporting cognitive function in older adults. However, it remains unclear which exercise types are most beneficial for specific cognitive domains. This study compared the effects of different exercise types on cognitive function in cognitively healthy older adults.
Key Topics
- Market Microstructure: A theme covered by this item within the markets context.
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This item adds to the markets knowledge base. Practitioners can use it to stay current on Domain-specific effects of exercise types on cognitive function in healthy older adults: A systematic review with pairwise and Bayesian network meta-analysis, but should validate its claims against primary sources and more recent work before relying on it in production decisions.
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