Immune response in highly active young men to the 2014/2015 seasonal influenza vaccine
Bibliographic record
Abstract
During the 2009 H1N1 pandemic, individuals with obesity were disproportionately affected by H1N1 with increased levels of mortality and morbidity. This led to questions regarding the potential impact of lifestyle on the effectiveness of immunization. Currently, the research is limited on influenza vaccination and the associated changes in immune response with body composition and physical activity. The purpose of this pilot study was to investigate the potential role of adiposity and physical activity in the immune response elicited by the 2014/2015 seasonal trivalent influenza vaccine. A prospective cohort study examining the 2014/2015 seasonal trivalent influenza vaccine was conducted by collecting baseline and 4-week postvaccination fasting blood samples from 45 male Albertans between the ages of 18 and 35 years. Percent body fat (%BF) was assessed through dual X-ray absorptiometry imagining and physical activity through self-reported survey scores. While no differences in median %BF were associated with seroconversion rates in participants, the median physical activity score was higher among those that did not seroconvert to the vaccine. Significant differences were found for the A/Texas strain (p < 0.01) and a similar trend of lower magnitude observed for the remaining 2 influenza strains. These results suggest that higher physical activity levels may influence immune response to vaccination and that assessing factors beyond those commonly used can be of value when identifying vaccine response in the population.
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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".