O3‐10‐02: Mindfulness‐Based Intervention Prevents Memory Decline and Improves Mood and Quality of Life in Older Adults with Mild Cognitive Impairment: Preliminary Findings
Bibliographic record
Abstract
In the last decade, new pharmacological treatments for Alzheimer’s disease (AD) failed to offer effective, long-lasting solutions, which stimulated the development of prophylactic approaches. Mindfulness-Based Interventions (MBI) promote the strengthening of attention and a non-reactive attitude through mindfulness meditation and philosophy. Such holistic methods show great potential against pathological aging that could lead to AD. The aim of this study was to test the efficacy of a MBI in targeting memory decline, depression, and quality of life, compared to an active control condition, in older adults with mild cognitive impairments (MCI). In this single-blind randomized controlled trial, older adults with MCI were assigned to a 8-week MBI (n=11) or control (CTRL; n=11) condition, which provided psychoeducation about memory and aging. Pré- and post- intervention, all participants were administered a verbal free-recall memory test, the Geriatric depression scale, and the WHO Quality of life BRIEF and OLD scales. Longitudinal mixed model analyses were conducted to compare the evolution of measurements in both conditions. Effect sizes (Cohen’s d) were calculated and an intent-to-treat paradigm was used with an alpha of 5%. Participants, of which 36.4% were women, were aged between 56 and 87 (mean=71.6, SD=7.6), with a mean education level of 13.6 years (SD=2.8). Ten participants in each condition completed the study. T-tests or khi-square analyses showed that there was no baseline difference between groups in terms of age (p=0.170), education level (p=0.456), and gender (p=0.225). Compared to the control group, the MBI group showed less objective memory deterioration pré- and post- intervention (MBI=-0,02% p=0.944, CTRL=-3,2% p=0.285; d=0,99), a greater decrease in the number of depressive symptoms (MBI=-3,3% p=0.297, CTRL=-1,6% p=0.634; d=0,43), and increased quality of life (MBI=+1,9% p=0.200, CTRL=+0,0% p=0.756; d=1,57). These preliminary findings indicate that MBI can help preventing memory decline and improving mood and quality of life in older adults with MCI. Moderate and large effect sizes obtained for all variables support the effectiveness of MBI in buffering against pathological aging.
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 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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".