Effects of White Potato Preparation on Subjective Appetite, Food Intake and Glycemic Response in Healthy Older Adults (P08-083-19)
Bibliographic record
Abstract
Although some epidemiological studies have linked potato consumption to obesity, diabetes, and mortality, there are limited studies on the effects of potatoes on appetite, food intake, and glycemic regulation in older adults. Therefore, the objective was to compare the effects of white potato preparation on subjective appetite, short-term food intake, and glycemic response in healthy older adults (>65 y). Using a within-subject, repeated-measures design, 20 participants (age: 70.5 ± 0.7 y; BMI: 24.2 ± 0.6 kg/m2) completed five treatment conditions. Following an overnight fast, participants completed five treatment conditions (∼283 kcal) of baked potatoes, mashed potatoes, fried French fries, white bread, or continued to fast. Treatment meals were matched for available carbohydrates (33.1 g) and total fat (13.7 g). Subjective appetite and glycemic response were measured at baseline and over 120 min post-meal consumption using visual analogue scales and capillary blood samples, respectively. An ad libitum pizza lunch was provided to measure food intake at 120 min. Change from baseline subjective appetite and subjective appetite incremental area under the curve (iAUC) were lower after all treatment meals compared with meal skipping (P < 0.01). Ad libitum pizza lunch food intake was lower after all treatment meals compared with meal skipping by 175–215 kcal (P < 0.02). However, cumulative food intake (treatment meal + ad libitum food intake) did not differ among test conditions (P = 0.26). Change from baseline blood glucose and blood glucose iAUC were higher after all treatment meals compared with meal skipping (P < 0.001), but did not differ from each other. White potatoes suppressed subjective appetite and short-term food intake compared with meal skipping, suggesting that white potatoes do not bypass regulatory control mechanisms of energy intake in healthy older adults. Alliance for Potato Research & Education.
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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 | 0.001 | 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 | 0.000 |
| Research integrity | 0.000 | 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".