Long‐Term Effect of a Pulse‐Based Diet and Exercise Training Intervention on Body Composition and Dietary Intake in Women with Polycystic Ovarian Syndrome
Bibliographic record
Abstract
Polycystic ovarian syndrome (PCOS) is an endocrine disorder that predisposes women to an increased risk of heart disease, diabetes, and infertility. We have previously demonstrated that a 16‐week diet and exercise intervention using either a pulse based diet or National Cholesterol Education Program therapeutic lifestyle changes (TLC) diet, leads to reduced body weight and percent body fat as well as improved reproductive measures in women with PCOS. We hypothesized that these effects would be maintained at 6‐months following the intervention. Baseline dietary assessment in women with PCOS aged 18‐35y (n=54) using a 4‐day food record demonstrate an intake of 2180 kcal which is within 6% of the individual TEE calculated using the EER equations (DRIs – 2002). Ten women who were randomly assigned to the 16‐week intervention receiving either the pulse‐based diet (n=4) or the TLC diet (n=6) while completing an exercise program were followed up at 6‐months post intervention. At 6‐months, women on both diets consumed fewer kcals (2380 vs 1700; p<0.005) and had both a lower fat (95 vs 60g; p<0.005 ) and carbohydrate (286 vs 211g; p<0.05) intake with no difference between diet groups, while protein intake was not different at 6‐months compared to baseline. Both body weight and percent body fat were not different at 6‐months compared to the end of the intervention. These results suggest that both diet interventions in combination with exercise have positive long‐term effects in women with PCOS. Saskatchewan Pulse Growers and Agriculture Agri‐Food Canada
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".