Knowledge, Attitudes, and Barriers towards Dietary Pulse Consumption in Women with Polycystic Ovary Syndrome Participating in a Multi-Disciplinary Lifestyle Intervention to Improve Women’s Health
Bibliographic record
Abstract
Pulse (beans, lentils, chickpeas, peas) consumption is low in developed countries. Pulses have the potential to benefit the management of polycystic ovary syndrome (PCOS) because they improve aspects of metabolic derangements (dyslipidaemia, insulin resistance), which contribute to reproductive disturbances (oligo-amenorrhea, hyperandrogenism). We compared changes in knowledge, attitudes, and barriers towards pulse consumption in PCOS cohorts who participated in a pulse-based or a Therapeutic Lifestyle Changes (TLC) dietary intervention. Thirty women (18–35 years old) randomised to a pulse-based diet (supplied with pulse-based meals) and 31 women in a TLC group completed pulse consumption questionnaires before and after a 16-week intervention. The pulse-diet group demonstrated increased knowledge of pulses per Canada’s Food Guide recommendations versus the TLC group post-intervention (p < 0.05). In both groups, increased scores were evident in the domain of attitude about pulses (p < 0.01). The top-ranked barrier to pulse consumption in no-/low-consumers was lack of knowledge about cooking pulses pre- and post-intervention. We attributed increased knowledge about pulse consumption in the pulse group to greater awareness through education and consuming pulse foods during the intervention. Our observations highlight the importance of multi-dimensional behavioural counselling and education to integrate healthy dietary practices for improving reproductive and sexual health in this under-studied high-risk population (ClinicalTrials.gov identifier: NCT01288638).
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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 | 0.001 | 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) | 0.000 | 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 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".