Allergy to Peanuts imPacting Emotions And Life (APPEAL): the impact of peanut allergy on children, adolescents, adults and caregivers in France
Bibliographic record
Abstract
BACKGROUND: Peanut allergy (PA) has increased in developed countries and can have a dramatic effect on quality of life but data surrounding this is limited in France. Allergy to Peanuts imPacting Emotions And Life study (APPEAL) investigated the experience and impact of living with PA in France. METHODS: Respondents affected by PA directly (children aged 8-12 years, teenagers aged 13-17 years, or adults aged ≥ 18 years) or indirectly (caregiver) completed either an online questionnaire (APPEAL-1, N = 198), or provided in-depth interviews (APPEAL-2, N = 32). Quantitative data was evaluated using descriptive statistics. Qualitative data was analysed thematically, using MAXQDA software. RESULTS: Of 198 responders in APPEAL-1, 88% stated that PA affects their daily activities, and 74% felt isolated as a result of living with PA. Feelings of worry about exposure to peanuts on social occasions where food is involved was reported by 91%. A total of 44% reported some restrictions in their job options, 85% in socializing. Psychological impact of PA included responders feeling emotions of frustration (89%), uncertainty (87%), and stress (93%) and 93% reporting encountering instances of feeling different due to their PA. Main factors that drove PA impact included social activities and relationships; whereas main coping strategies to avoid peanuts included monitoring, communication and planning. CONCLUSION: The analysis of French respondents from the APPEAL study demonstrates the impact and burden of PA on allergic children, teenagers, adults and their caregivers, and highlights the unmet need to be addressed.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".