Creatine and Cognition in Aging: A Systematic Review of Evidence in Older Adults
Bibliographic record
Abstract
CONTEXT: Creatine is a well-studied dietary supplement that is known to benefit aging muscle and bone, especially when combined with resistance training. Some studies suggest that creatine may also be favorable for cognitive function, yet these independent effects have not been thoroughly reviewed in older adults. OBJECTIVE: The objective of this study was to systematically examine the current literature on creatine and cognition in older adults. DATA SOURCES: A comprehensive search was conducted across eight electronic databases. DATA EXTRACTION: Original peer-reviewed studies investigating creatine supplementation and/or estimations of dietary creatine intake in older adults (aged 55+ years) with cognition assessed as an outcome were included. Studies not examining creatine and cognition exclusively, only in combination with another intervention (e.g., resistance training), were excluded. The methodological quality of each study was evaluated using a modified version of the Downs and Black (1998) checklist. DATA ANALYSIS: Six studies were included, with a total of 1542 participants (55.7% female). Most participant samples included healthy community-dwelling older adults, with the exception of one study examining overweight older women. Two studies were double-blind interventions in which participants were supplemented with creatine monohydrate. Four studies were cross-sectional and estimated creatine consumption through dietary recall. Five of the six (83.3%) studies reported a positive relationship between creatine and cognition in older adults, particularly in the domains of memory and attention. One study achieved a methodological quality rating of "good", two "fair", and three "poor". CONCLUSION: The current limited evidence suggests that creatine may be associated with benefits for cognition in generally healthy older adults. However, high-quality clinical trials are warranted to further validate this relationship. Future research should investigate creatine supplementation in older clinical populations with notable cognitive deficits, objectively measure creatine concentrations, and consider additional factors that may influence creatine levels in the body and brain (e.g., body weight, muscle mass, dietary intake, physical activity levels). SYSTEMATIC REVIEW REGISTRATION: PROSPERO No. CRD42025643617.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.040 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.009 | 0.008 |
| Bibliometrics | 0.013 | 0.011 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".