<b>Factors Influencing Laryngeal Vestibular Closure in Healthy Adults</b>
Bibliographic record
Abstract
PURPOSE: Our study aims were (a) to examine laryngeal vestibular closure (LVC) temporal measures in healthy adults across tasks used in the Modified Barium Swallow Impairment Profile (MBSImP) protocol to establish normative reference values and (b) to examine influences of age, gender, and swallow task on LVC temporal measures. METHOD: A retrospective analysis of 195 healthy adults (85 men, 110 women; age range: 21-89 years) who participated in a videofluoroscopic swallowing study was completed. Seven swallow tasks of standardized viscosities and volumes, as per the MBSImP protocol, were analyzed to measure time-to-LVC and LVC duration (LVCd). Descriptive statistics were employed for all measures of interest. Regression modeling was used to explore relationships between LVC temporal measures (time-to-LVC, LVCd) with age, gender, and swallow task. The relationship between time-to-LVC and LVCd was also explored. RESULTS: Significant findings included an increasing trend in LVCd across age (older individuals had a longer LVCd), with women demonstrating a greater increase. Related to viscosity, LVCd was significantly shorter for pudding compared to thin liquid. Furthermore, when compared to 5-ml tasks, LVCd was significantly longer in cup tasks, while time-to-LVC was significantly shorter. An association was also observed between time-to-LVC and LVCd: As time-to-LVC decreased, LVCd increased. CONCLUSIONS: LVCd was influenced by age, gender, and swallow task. Longer time-to-LVC was observed in older individuals, particularly older women, and with thin liquids. Study findings contribute to adult normative reference values for LVC temporal measures (time-to-LVC and LVCd) across MBSImP swallowing tasks. SUPPLEMENTAL MATERIAL: https://doi.org/10.23641/asha.24126432.
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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 | 0.000 | 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".