Novel Functional Beverage Potentially Influences the Perception of Pain and the Perception of Effort
Bibliographic record
Abstract
A variety of products are available on the market with the aim to improve physical performance. Recently, a new product (JustBIO Inc, CA) has shown in vitro that it allows ATP resynthesis, preserves mitochondria structure and protects cells against cell death. Furthermore on, athletes during prolonged exercise are often confronted to an increase in pain perception. PURPOSE: Measure the effect of three different beverages on perception of pain and effort after high intensity exercise. METHODS: Participants were randomly assigned to 3 groups: group A (n = 9; 4F 5H; 27 ± 4 years), group B (n = 9; 4F 5H; 28 ± 7 years) and group C (n = 9; 4F 5H, 27 ± 5 years). They were instructed to consume the beverage respective to their group four days, one beverage per day (200 ml), preceding the event and the fifth beverage one hour before the test. The beverage A, B and C contained respectively: blueberry concentrate; blueberry concentrate with a biological extract; and juice (without blueberry) with a biological extract that accelerated ATP release. The study was double blind. The French version of the BPI-SF “Brief Pain Inventory-Short Form” was used to identify the perception of pain. Participants answered the questionnaire after a 30s Wingate test and an endurance exercise (EE) on ergocycle 24, 48 and 72 hours post. In addition, the perception of effort was measured using a modified Borg scale (Borg R-20). RESULTS: A significant difference was noted in the group without blueberry concentrate (C) 24, 48 and 72 hours after the event for average pain (p <0.001) and the worst pain felt (p <0.01). In addition, the group containing blueberry and an additive (B) perceived a greater reduction (28.93±7.49%) in pain 24h-72h after tests that was significant (p<0.05), when compared to the other two groups (A: 19.96±28%; C: 0.25±14.66%). The perceptions of the effort, however, seemed generally lower for the C group. CONCLUSIONS: Consumption of a juice containing blueberry concentrate/extract appears to attenuate the perception of pain and effort.
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 | 0.000 |
| 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) | 0.004 | 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".