Double-Exposure to Acute Stress and Chronic Family Stress is Associated With Immune Changes in Children With Asthma
Bibliographic record
Abstract
OBJECTIVE: To understand how psychological stress heightens risk for asthma flare-ups, we examined the relationship between acute stress, chronic family stress, and the production of asthma-related cytokines. METHODS: Seventy-one children with asthma and 76 medically healthy children completed interviews regarding life stress, and peripheral blood samples were collected. After mononuclear cells had been mitogenically stimulated, production of the cytokines interleukin (IL)-4, IL-5, IL-13, and IFN-gamma was measured. All measurements were repeated every 6 months for 2 years. Children reported on their asthma symptoms for 14 days after each study visit. RESULTS: Children with asthma who had higher levels of chronic family stress showed increased production of IL-4, IL-5, and IFN-gamma at times when they had experienced an acute event compared with times when they had not. These stress-related changes did not occur in asthmatic children with lower levels of chronic family stress, or in healthy controls. The combination of acute and chronic stress was also associated with increased asthma symptoms. CONCLUSION: These findings suggest that acute negative life events have a particularly strong impact among a subgroup of children with asthma who are under high chronic family stress. The heightened inflammatory profile in this group suggests an explanation for why children experiencing life stressors are at greater risk for asthma exacerbations.
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 | 0.002 |
| 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) | 0.002 | 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".