Predicting Exercise Behavior Among Caregivers of Persons With Dementia—A Longitudinal Investigation Using an Extended Health Belief Model
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: Family caregivers of persons with dementia face an elevated risk of several chronic illnesses compared to their noncaregiver counterparts. Although exercise is a strong preventive measure for several debilitating health conditions, longitudinal research guided by theoretical frameworks has not identified how behavioral determinants predict exercise among caregivers. This study aimed to investigate how intrapersonal exercise determinants contribute to caregivers' exercise participation while accounting for social-contextual factors, including perceived caregiving burden and pandemic-related distress, by employing an extended Health Belief Model. RESEARCH DESIGN AND METHODS: The study was a longitudinal observational design. Community-dwelling older adult family caregivers of individuals with dementia (n = 127) were recruited with the support of a nonprofit organization. Participants completed measures of the Health Belief Model that also included dual process constructs (intention and habit), along with caregiving burden, pandemic-related distress, and exercise behavior across three consecutive months. Data were analyzed using a multilevel structural equation model with participants (Level 2) nested within time (Level 1). RESULTS: The model revealed direct effects of caregiving burden that debilitate perceived behavioral control, attitudes, threats, and worsen burden, in addition to hampering intention and habit when accounting for total effects. Pandemic-related distress exacerbated caregiving burden and weakened Health Belief Model constructs via total effects. DISCUSSION AND IMPLICATIONS: These findings inform constructs to develop a community-based education program for family caregivers to successfully adopt and maintain exercise behavior. Incorporating supportive resources and coping strategies for caregivers of persons with dementia is needed to address the effects of behavioral deterrents.
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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 | 0.004 | 0.009 |
| 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".