Children's anxiety symptoms and salivary immunoglobulin A: A mutual regulatory system?
Bibliographic record
Abstract
Anxiety can impact the immune system resulting in negative health outcomes. Salivary immunoglobulin A (sIgA) is a first line of defense against foreign antigens, with lowered levels indicative of weakened mucosal immunity. Little is known about how anxiety symptoms affect the diurnal rhythm of sIgA secretion, or the longitudinal transactional sequence between the two in children and adolescents. The goals of the two studies were to: (i) explore the concurrent associations between self-reported anxiety symptoms and diurnal variations of sIgA across the day using repeated daily samples of sIgA; and (ii) examine transactional relations between children's anxiety and aggregated total amount of sIgA levels across successive periods from middle childhood (Wave 1; ages 9-12) to early adolescence (Wave 2; ages 12-15), and from early to mid- adolescence (Wave 3; ages 15-18). Concurrent results showed a steeper (positive) rise in diurnal slope of sIgA from awakening to 5 hr post-awakening in children with higher anxiety. Longitudinally, higher levels of total anxiety, and specifically, worries at Wave 1 significantly predicted lower cumulative daily levels of sIgA 3 years later at Wave 2. Lowered sIgA levels at Wave 2 in turn predicted higher anxiety at Wave 3, illustrating a "vicious cycle" feedback loop. These findings broaden our understanding of the developmental links between anxiety symptoms, the immune system, and health.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".