Adherence to Mediterranean Diet Mediates the Relationship Between Cognition, Sleep, and Daily Autonomy in Mild Cognitive Impairment
Bibliographic record
Abstract
Objectives: Adherence to Mediterranean Diet seems to be involved in older adults' health. However, its specific role towards cognitive deficits, daily autonomy, and sleep quality still needs to be clarified. Therefore, this pilot study aimed at: 1) exploring the relationships between adherence to Mediterranean Diet, cognitive decline, daily autonomy, and sleep quality in older adults with Mild Cognitive Impairment (MCI), and 2) computing models to explore the interplay between these variables. Methods: After ethical approval, 12 older adults with MCI (Mini Mental State Examination ≥ 26 and < 28, M = 26.8, SD = 1.82) aged 65+ years (M = 75.7, SD = 7.39) were assessed with Medi-Lite questionnaire on adherence to Mediterranean Diet, Mini Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA), Frontal Assessment Battery (FAB), Activities of Daily Living (ADL), Instrumental Activities of Daily Living (IADL), and Pittsburgh Sleep Quality Index (PSQI). Data were analyzed with SPSS 27. Results: Adherence to Mediterranean Diet correlated with MMSE attention and calculation (ρ = 0.63, p < .05), MMSE orientation (ρ = 0.58, p < .05), MMSE general cognitive functioning (ρ = 0.67, p < .05), MoCA visuospatial/executive ability (ρ = 0.79, p < .01), MoCA delayed recall (ρ = 0.6, p < .05), FAB conflicting instructions (ρ = 0.61, p < .05), FAB go – no go (ρ = 0.67 p < .05), IADL (ρ = 0.79, p < .05), and PSQI sleep duration (ρ = 0.74, p < .01). PSQI sleep duration, moreover, correlated with FAB go – no go (ρ = 0.67, p < .05), while PSQI subjective quality of sleep correlated with ADL (ρ = -0.7, p < .05). Bootstrap mediation analysis, in conclusion, showed adherence to Mediterranean Diet as a complete mediator in the relationship between MMSE general cognitive functioning and IADL (ab = 0.5, 95% CI [0.13, 1.08], p < .05; c = 0.48, 95% CI [-0.04, 1.25], p = .12; c + ab = 0.98, 95% CI [0.55, 1.86], p < .01), and in the relationship between PSQI sleep duration and IADL (ab = 1.71, 95% CI [0.64, 3.48], p < .05; c = -0.1, 95% CI [-1.89, 1.54]; p = .89; c + ab = 1.61, 95% CI [0.33, 3]; p < .05). Conclusions: Adherence to Mediterranean Diet seems to play an important role in the relationships between cognition, sleep, and daily autonomy in MCI. Future works should be conducted on larger samples to design specific intervention strategies for healthy aging. Funding Sources: None.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".