24‐hour activity cycle movement behaviours and brain volume in people with mild cognitive impairment: A compositional and isotemporal substitution analysis
Bibliographic record
Abstract
Abstract Background People with mild cognitive impairment are at greater risk of Alzheimer’s disease. Physical activity (PA), sedentary behaviour, and sleep are movement behaviours constituting the 24‐hour activity cycle (24‐HAC) and are interactively associated with cognitive and brain health. However, the relationship between 24‐HAC compositions (i.e., time in one behaviour relative to remaining) and brain volume in this population remains underexplored. We aimed to investigate the associations between 24‐HAC compositions and time reallocation of 24‐HAC movement behaviours with brain volume. Method A cross‐sectional study in 110 community‐dwelling adults (55+ years) with mild cognitive impairment (Montreal Cognitive Assessment <26/30). MotionWatch8© assessed 24‐HAC movement behaviours (5‐7 days). Compositional data analysis determined 24‐HAC compositions (four isometric log‐ratio pivot coordinates). FreeSurfer quantified gray matter volume using T1‐weighted magnetic resonance imaging. Linear regressions adjusted for age, sex, intracranial volume, and education determined 24‐HAC compositions and brain volume associations. Compositional isotemporal substitution analysis estimated the difference in brain volume associated with reallocating time between pairs of 24‐HAC movement behaviours. The Benjamini‐Hochberg false‐discovery rate (FDR) adjusted p‐values for multiple comparisons. Result Higher moderate‐to‐vigorous PA composition was associated with greater cortical volume in the inferior temporal gyrus TE2a region (ß = 0.30, 95% CI = 0.15; 0.44, FDR‐adjusted‐p = 0.030). Higher light PA composition was associated with lower cortical volume in the TE2a region (ß = ‐0.45, 95% CI = ‐0.65; ‐0.24, FDR‐adjusted‐p = 0.015). Sedentary behaviour and sleep were not associated with brain volume (FDR‐adjusted‐p>0.05). Reallocating 30 minutes from sedentary behaviour to moderate‐to‐vigorous PA was associated with 2.1% greater volume in the TE2a region (ß = 0.06, 95% CI = 0.02; 0.10, p<0.001). Reallocating 30 minutes from moderate‐to‐vigorous PA to sedentary behaviour was associated with 2.8% lower volume in the TE2a region (ß = ‐0.08, 95% CI = ‐0.14; ‐0.02, p<0.001). Conclusion Greater light PA composition may happen at the expense of lower moderate‐to‐vigorous PA composition, which could explain its associations with lower cortical volume. Greater moderate‐to‐vigorous PA composition and reallocating time from sedentary behaviour to moderate‐to‐vigorous PA may counteract cortical atrophy in an Alzheimer’s disease signature region in people with mild cognitive impairment.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".