Self-Efficacy is Key: Examining the Role of Motivation to Engage in Healthy Lifestyle Behaviors for Dementia Prevention in Midlife
Bibliographic record
Abstract
Modifiable risk factors account for nearly half of dementia cases, with the greatest impact on dementia prevention in midlife. Little is known about what motivates middle-aged adults to engage in healthy behaviors for dementia risk reduction. This study examined associations between motivation to make lifestyle changes for dementia risk reduction and engagement in health behaviors associated with dementia risk in 347 middle-aged adults. Multivariate linear regressions examined associations between motivation and engagement in health behaviors. Greater self-efficacy and higher education significantly predicted greater physical and cognitive activity and better sleep quality. Greater perceived barriers and general health motivation, lower self-efficacy, and younger age significantly predicted greater perceived loneliness. Self-efficacy consistently predicted engagement in health behaviors associated with dementia risk reduction in midlife. Thus, incorporating empirically supported strategies to increase self-efficacy in lifestyle interventions for dementia prevention may increase long-term adherence and overall success of dementia prevention efforts.
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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 | 0.003 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".