Does level of breast support differentially affect exertional symptoms and respiratory system responses in large- and small-breasted women during treadmill exercise?
Bibliographic record
Abstract
We assessed how different levels of breast support affected exertional symptoms and respiratory responses in small- and large-breasted females during treadmill exercise. Twenty recreationally-active females (mean ± SD age: 22 ± 2 years) were divided into small (SBV: 322±77 mL) and large breast volume (LBV: 580±88 mL; p < 0.001, g = 2.98) groups. Participants completed three 5 min bouts of treadmill exercise at 30%, 60%, and 90% of individual peak power output (PPO)—corresponding to walking, low-intensity running, and high-intensity running—wearing either a high-support or low-support sports bra (randomized). Measurements included cardiorespiratory variables, operating lung volumes, inspiratory muscle electromyographic, respiratory muscle pressures, breast acceleration, and exertional symptoms (breathlessness, chest tightness due to bra). High- versus low-support sports bras reduced mean breast acceleration ( p < 0.001, [Formula: see text]=0.55), but evoked higher ratings of chest tightness ( p = 0.040, [Formula: see text]=0.16) in LBV participants at low- and high-intensity running ( g = 1.09 and g = 0.99, respectively). Although breathlessness was not significantly different by bra or breast volume (all p > 0.05), LBV participants consistently reported breathlessness intensity and unpleasantness ≥ 1 Borg unit (BU) higher than SBV participants during low- and high-intensity running (breathlessness intensity: ∼5 vs. ∼3 BU at 60% PPO; ∼9 vs. ∼7 BU at 90% PPO; breathlessness unpleasantness: ∼4 vs. ∼2 BU at 60% PPO, ∼8 vs. ∼6 BU at 90% PPO). There were no differences in cardiorespiratory variables, inspiratory muscle activity, operating lung volumes between breast volume groups or sports bras (all p > 0.05). We emphasize the importance of addressing subjective discomfort, including chest tightness and breathlessness, when developing effective breast support for weight-bearing exercise, especially for larger-breasted individuals.
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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 | 0.001 |
| 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) | 0.001 | 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".