Impact of a lignan-rich diet on adiposity and insulin sensitivity in post-menopausal women
Bibliographic record
Abstract
There has been a growing interest in lignans, a class of phyto-oestrogens, because of their potentially favourable effects on human health. The aim of the present study was to compare the metabolic profile of post-menopausal women consuming various amounts of dietary lignans. Phyto-oestrogen intake was assessed using a 3-d dietary record analysed with a Canadian food phyto-oestrogen content data table in 115 post-menopausal women (age 56.8 (SD 4.4) years and BMI 28.5 (SD 5.9) kg/m(2)). Plasma enterolactone (ENL), the major biologically active metabolite of dietary lignans, was determined by time-resolved fluoroimmunoassay. Anthropometrics, abdominal adipose tissue areas (computed tomography), body composition (hydrostatic weighing) and insulin sensitivity (hyperinsulinaemic-euglycaemic clamp) were measured in all women. Women in the high dietary lignan intake subgroup (n 29) had a significantly lower BMI and total body fat mass, as well as a better glucose disposal rate (GDR; P < 0.05), compared with women in the low lignan intake subgroup (n 28). The majority of women with the highest dietary lignan intake were also in the highest quartile of plasma ENL (59 %). Women in the highest ENL quartile had a significantly lower BMI (26.1 (SD 4.4) v. 30.4 (SD 6.9) kg/m(2), P < 0.05), total body fat mass (24.8 (SD 9.8) v. 33.3 (SD 13.3) kg, P < 0.05), 2 h postload glycaemia (5.5 (SD 0.9) v. 5.7 (sd 0.8) nmol/l, P < 0.05) and a higher GDR (8.3 (SD 2.7) v. 5.5 (SD 2.8), P < 0.01) compared with women in the lowest ENL quartile. In conclusion, women with the highest ENL concentrations had a better metabolic profile including higher insulin sensitivity and lower adiposity measures.
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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".