Association between major dietary patterns and polycystic ovary syndrome: evidence from a case-control study
Bibliographic record
Abstract
Polycystic ovary syndrome (PCOS) is a multifactorial endocrine disorder in women. Change in lifestyle, especially dietary pattern, might have a role in the prevalence of PCOS. The limited number of studies has made it difficult to draw any conclusion about the relationship of dietary patterns with PCOS. This study aimed to investigate the association between dietary patterns and PCOS. A case-control study was performed on 225 patients newly diagnosed with PCOS and 345 healthy women in Isfahan, Iran. The presence of PCOS was confirmed by expert gynecologists based on Rotterdam criteria. Usual dietary intake was assessed by a 168-item food frequency questionnaire. Dietary patterns were identified by principal component analysis. Three major dietary patterns including Western, plant-based, and mixed were identified that explained 53.93% of the variance in food intake. The top tertile of the Western dietary pattern significantly increased the odds of PCOS (odds ratio (OR), 2.03; 95% confidence interval (CI), 1.12-3.67), both before and after adjustments for covariates. After adjustments for potential confounders, the highest tertile of the plant-based dietary pattern was related to higher odds of PCOS than the lowest tertile (OR, 2.32; 95% CI, 1.23-4.37). In addition, those in the second tertile of the mixed dietary pattern were 66% less likely to have PCOS compared with those in the lowest tertile (OR, 0.34; 95% CI, 0.18-0.61). In conclusion, we found that Western and plant-based dietary patterns were associated with an increased risk of PCOS. Also, moderate adherence to the mixed dietary pattern was associated with a reduced risk of PCOS. Additional studies with a longitudinal design are required to confirm our findings.
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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) | 0.000 | 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".