Maternal awareness to the timing of allergenic food introduction in Saudi infants
Bibliographic record
Abstract
Background: Current guidelines recommend the introduction of allergenic foods as early as 4–6 months of age to decrease the risk of food allergy. However, caregivers' knowledge about such practices and adherence to them is ambiguous. Objectives: The purpose of this study was to evaluate the timing of introduction of potentially allergenic foods into children's diet and the level of maternal awareness about and degree of compliance with current recommendations. Materials and methods: We conducted a cross-sectional study from May 2019 to January 2020 at Imam Mohammad Ibn Saud Islamic University Medical Center, Riyadh, Saudi Arabia. Data were collected through questionnaire-based surveys, and a total of 405 mothers were enrolled in the study. The eligibility criteria included mothers of children between the ages of 12 and 36 months. Results: Most mothers in this study had initiated allergenic foods, and the average time of introduction was 9.84 ± 3.16 months for eggs, 14.6 ± 5.78 months for peanuts, and 13.6 ± 5.37 months for fish. Around one-quarter (n = 102, 25.2%) of the children were identified as being in the high-risk group. Most mothers did not know or disagreed that the timing of introducing allergenic foods might help in preventing food allergy, but there was no difference between the risk groups (33.8% and 26.2%, respectively). Moreover, only 18.6% and 13.2% of the high- and low-risk groups, respectively, received correct information from their health care providers ( P = .004). Mothers with only one child were less likely to start eggs at an early age (odds ratio [OR] = 0.5 and P = .005). Furthermore, children at a high risk of food allergy were two times more likely to start eggs at an earlier age (OR = 2.12 and P = .003). Conclusion: In this study, the allergenic food feeding practices being followed for infants and young children were found to be suboptimal. Parental education level and the number of siblings were identified as potential barriers to the implementation of and adherence to recent guidelines. There is a need for corrective measures to ensure safe and appropriate feeding practices in the Saudi community.
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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 | 0.001 | 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) | 0.000 | 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".