Maternal-fetal disease information as a source of exercise motivation during pregnancy.
Bibliographic record
Abstract
OBJECTIVE: A Protection Motivation Theory (PMT) framework was used to examine whether information about the role of exercise in preventing maternal-fetal disease served as a meaningful source of exercise motivation. DESIGN: Pregnant women (n = 208) were randomly assigned into one of three conditions: PMT, attention control, and noncontact control. Women in the PMT group read a brochure about the benefits of exercise during pregnancy incorporating the major components of PMT; perceived vulnerability (PV), perceived severity (PS), response efficacy (RE), and self-efficacy (SE). Participants in the attention-control condition read a brochure about diet. Following treatment, all participants completed measures of their beliefs toward maternal-fetal disease and exercise, goal intention (GI), and implementation intention (IMI). One week later, a measure of self-reported exercise behavior was collected. MAIN OUTCOME MEASURES: Main outcome measures were PMT variables (PV, PS, RE, and SE), GI, IMI, and follow-up physical activity. RESULTS: Participants assigned to the PMT-present group reported significantly higher PS, RE, SE, GI, and increased exercise behavior. PS, RE, and SE predicted GI, GI predicted IMI, and IMI predicted exercise behavior. CONCLUSION: Information grounded in PMT is effective in influencing pregnant women's beliefs and intentions as well as changing their initial behavior.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".