Carbohydrate Quality Is Independently Associated with Cardiometabolic Risk in Chinese Individuals with Impaired Glucose Tolerance
Bibliographic record
Abstract
Background/Objectives: Dietary manipulation with carbohydrate restriction has been extensively investigated in diabetes prevention programmes. Carbohydrate (CHO) quality, rather than quantity, is associated with various metabolic outcomes. Few studies examined the fibre/CHO ratio on lipid profiles, liver fat and insulin resistance in individuals with impaired glucose tolerance (IGT). Methods: In this comprehensive cross-sectional study, we evaluated the association of carbohydrate-related nutritional factors with metabolic parameters in a cohort of 177 Hong Kong Chinese with impaired glucose tolerance (IGT). The subjects underwent a 75 g oral glucose tolerance test (OGTT) with measurement of plasma C-peptide and lipid profiles, body composition, transient elastography, and three-day food records. The fibre/CHO ratio is calculated by dividing fibre intake by total carbohydrate intake (in grams). Results: The median (IQR) age of the study cohort was 60 (54–62) with a mean ± SD BMI of 26.7 ± 3.9 kg/m2, and 40.7% were female. A higher carbohydrate quality, measured as fibre/CHO ratio, was inversely correlated with triglycerides (r = −0.305, p < 0.001) and positively correlated with High-density lipoproteins cholesterol (HDL-C) (r = 0.354, p < 0.001). These associations remained significant after adjusting for age, gender, lipid-lowering drugs, total calorie, macronutrient and sugar intake, physical activity and sodium/potassium ratio. Blood pressure, liver fat and insulin resistance were also associated with the fibre/CHO ratio after the adjustment of these confounding factors. Consuming more than 5.5 g of fibre per 100 g carbohydrate was associated with lower serum triglycerides. Conclusions: Our results highlight the potential for using the fibre/CHO ratio as a metric for daily carbohydrate quality and the importance of addressing both carbohydrate quality and quantity in designing dietary interventions to reduce cardiometabolic risk.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 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 | 0.000 | 0.000 |
| 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".