Women's experiences with the barriers and facilitators to physical activity throughout the course of pregnancy
Bibliographic record
Abstract
Physical activity levels adopted during pregnancy can impact future exercise behaviours post partum, resulting in long term physiological and psychological effects (Hausenblas et al., 2008). The purpose of this study was to qualitatively examine women's perceptions of change in barriers and facilitators of physical activity during pregnancy. Nine previously active expecting women participated in a series of two semi-structured interviews in early second trimester and mid to late third trimester. Data was analyzed using interpretative phenomenological analysis. Results revealed that barriers to physical activity changed throughout pregnancy. Commonly identified barriers during the first and second trimester included fear of miscarriage, nausea/vomiting, fatigue, and weather, while changes in the body, fear of injury, pain and discomfort, and work demands were prominent in the third trimester. Despite these barriers, participants were motivated to engage in physical activity throughout pregnancy to maintain physical fitness, health of the baby and themselves, and to relieve stress. Physical activity behaviours were supported by the participants' partners; however, the majority of participants sought out prenatal exercise classes to create a social network with other expecting mothers. The need to examine pregnant women's experiences with physical activity from a holistic approach beyond the biomedical model will be discussed.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| 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".