The Luci program: a coach‐based online intervention to reduce dementia risk factors
Bibliographic record
Abstract
Abstract Background A large body of evidence indicates that behavioural interventions on modifiable risk factors for dementia can reduce cognitive decline in at‐risk older individuals. There is growing interest in making such interventions more widely accessible using technology‐based solutions. However, online programs would benefit from incorporating coach‐based interventions, the feasibility of which needs to be demonstrated. Luci is an online, coach‐supported, multidomain lifestyle intervention aimed to improve cognitive health in older adults at risk of cognitive decline. A pilot study was conducted to establish the feasibility of the program. Method A web‐App was designed to allow 1‐1 coaching sessions, create and monitor personalized action plans, provide information on brain health, and collect outcome measures. 119 cognitively healthy, community‐dwelling individuals aged 50‐70 with ≥1 lifestyle risk factor (physical activity, diet, cognitive engagement) were recruited in this 24‐week, randomized (Luci vs. wait‐list controls), single‐blind pilot feasibility study. Main eligibility criteria included no severe health conditions (e.g., neurocognitive, psychiatric), to be French‐speaking, available for the duration of the program, and computer literate with access to a device and Internet. Adherence, retention rates, and satisfaction and usability were assessed. Secondary measures included change from baseline in lifestyle risk factors and cognitive performance. Result Participants had a mean age of 60.6 (SD = 5.6) and 16.7 (SD = 3.4) years of education; 84.9% were female. Retention and adherence rates were 92.4% and 84.5%, respectively, and a 3.7% difference in attrition rates between the intervention and control groups was observed. Program satisfaction and App usability rates were high, with over 95% agreeing that the coach helped them identify the benefits of and obstacles to changing their lifestyle and respected their opinion. A greater proportion of participants (1.3 to 2.7‐fold) in the intervention versus control group reached a clinically significant change in lifestyle risks. In contrast to the control group, the Luci intervention group showed improvements in cognitive performance. Conclusion Providing coach‐based online intervention programs might represent a powerful approach to support durable lifestyle changes in older adults at‐risk for dementia. The results from this study support the Luci program potential as a feasible intervention for effective and sustainable behavioural changes.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".