Harmony of Mind and Motion: Exploring the Interplay between Physical Activity and Mild Behavioral Impairment in Dementia‐Free Older Adults
Bibliographic record
Abstract
Abstract Background While dementia typically presents in later life, early‐to‐mid‐life factors like physical inactivity contribute to dementia risk. Mild Behavioral Impairment (MBI), marked by emergent and persistent behavioral changes in older adults, also contributes to dementia risk. However, there is limited research on the impact of physical activity in those with MBI. In a community‐dwelling sample of dementia‐free older adults, we determined the association between the total weekly frequency of engaging in physical activity and MBI severity and whether this association depended on the total duration of physical activity. Methods Data were obtained from the Canadian Platform for Research Online to Investigate Health, Quality of Life, Cognition, Behavior, Function, and Caregiving in Aging (CAN‐PROTECT) study. Measures included the MBI Checklist (MBI‐C) and physical activity questions from the Community Healthy Activities Model Program for Seniors (CHAMPS) questionnaire. Four physical activity domains were established (physical labor, cardiovascular activities, mind‐body exercises, and strength training). Multivariable negative binomial regression models modeled associations between MBI and weekly frequency of engaging in total and domain‐specific physical activity. All models were adjusted for age, sex, years of education, marital status, ethnocultural origin, and occupation type. Duration engaging in physical activity was explored as a covariate and a moderator. Results For every 1 standard deviation (SD) increase in the total physical activity frequency was associated with a 18.3% (95%CI: ‐31.3—6.6, p = 0.002) lower MBI‐C total score. This association was moderated by total duration engaging in physical activity (expB = 1.0, 95%CI: 1.0‐1.0, p = 0.008), where the strength of the association weakened as the duration of physical activity increased. Additionally, every 1 SD increase in cardiovascular activity frequency and mind‐body activity frequency were associated with 18.1% (95%CI:‐30.9—6.5, p = 0.003) and 15.7% (95%CI:‐28.9—3.7, p = 0.006) lower MBI‐C total scores. Conclusions More frequent weekly physical activity and cardiovascular and mind‐body exercise were associated with lower MBI severity. As the duration of physical activity increased, the impact of the frequency of physical activity on MBI severity decreased, and vice versa. Since lower MBI scores are associated with a lower risk for dementia, these results might inform dementia risk reduction, even in those with few cognitive symptoms.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".