Post-Prandial Plasma Glucose Less Than or Equal to 70 mg/dL Is Not Uncommon in Young Japanese Women
Bibliographic record
Abstract
BACKGROUND: Post-breakfast/post-challenge plasma glucose (PG) concentrations were studied less in young normal weight Japanese women. We addressed these issues. METHODS: Two separate groups of female collegiate athletes and female untrained students underwent either a standardized meal test or a standard 75-g oral glucose tolerance test, but not both. Frequency of women whose post-breakfast/post-load PG fell to 70 mg/dL or lower (termed as low glycemia) was compared between athletes and non-athletes, who also underwent measurements of serum adipokines, markers of insulin resistance and inflammation and dual-energy X-ray absorptiometry. Insulin secretion, insulin sensitivity/resistance and serum adipokines were compared between women with and without post-breakfast low glycemia. The same comparison was done between women whose post-breakfast PG returned to levels below the fasting PG and women whose post-breakfast PG never fell below the fasting PG. RESULTS: There was no difference between athletes and non-athletes in frequency of post-breakfast low glycemia (47% (8/17) and 44% (8/18)) and post-challenge low glycemia (24% (12/50) and 23% (27/118)). As compared to seven women whose post-breakfast PG never fell below the fasting PG, 28 women whose post-breakfast PG returned to levels below the fasting PG had higher meal-induced insulin responses (283 ± 366 vs. 89 ± 36 µU/mg, P = 0.014). However, two groups did not differ in body composition, markers of insulin resistance and serum adiponectin. No significant difference was also observed in any of these variables between women with and without post-breakfast low glycemia. CONCLUSION: Post-prandial PG ≤ 70 mg/dL is not uncommon in young normal weight Japanese women and may not be a pathological condition. The underlying mechanisms for this finding need further exploration.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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".