Self-efficacy of food allergy management in elementary school personnel in Tokyo

Parental stress and food allergy phenotypes in young children: A National Birth Cohort (JECS)

BACKGROUND

Food allergy children and their families tend to have emotional distress and anxiety. There have been few reports of differences in parenting stress and a child's food allergy phenotypes.

METHODS

We examined the associations between food allergy phenotypes in children and parenting stress assessed by the Parenting Stress Index-Short Form (PSI-SF) from a national birth cohort (Japan Environment and Children's Study).

RESULTS

We included 65,805 children for statistical analysis. Of them, 7.2% of children had a food allergy diagnosis at 2 years old. The means of the total PSI-SF (39.9 ± 10.3, 39.1 ± 9.9), CD-SF (19.5 ± 5.4, 19.1 ± 5.2), and PD-SF (20.5 ± 6.3, 20.0 ± 6.1) scores are similar for caregivers in the with and without food allergy groups. Food allergy diagnosis resulted in significantly higher total PSI scores (coefficient .47, 95% CI 0.19-0.75, p = .001), CD-SF (coefficient .22, 95% CI 0.07-0.38, p = .004), and PD-SF (coefficient .24, 95% CI 0.08-0.41, p = .004). A similar trend was observed for allergy reactions to hen's egg. However, there was no clear relationship between allergic reactions to milk, wheat, nuts, and PSI-SF.

CONCLUSIONS

Parental stress was significantly related to a child's food allergy. Furthermore, hen's egg allergy increased parental stress. Multiple food avoidance might also increase parental stress. Healthcare providers need to be aware of parental stress in our daily clinic.

Implementing information and communication technology education on food allergy and anaphylaxis in the school setting

Introduction

Every year, 1/10,000 children experiences a food‐anaphylactic reaction. Most of these events, including attack‐related deaths, may happen during the school hours. In the current study, we assessed the influence of information and communication technologies (ICT) in the school‐staff's education on food allergy and anaphylaxis (FAA).

Methods

The target population of this intervention was non‐university teaching centers from the local Regional Education Council, including both state and private institutions. The digital intervention was supported by the free‐of‐charge and open‐source learning‐management Aulatic Educational Platform. Structured questionnaires were developed to evaluate the educators' knowledge, feelings, and self‐efficacy on FAA, in addition to a satisfaction and quality survey of the training program.

Results

A total of 1748 school‐educators were virtually enrolled from May 2016 to June 2020 in one of the 8‐week course editions, with 80.6% of attendees successfully completing the full training. All scores concerning school‐staff's basic knowledge and self‐efficacy on FAA significantly improved after the educational intervention, reaching a high level of satisfaction among participants (98.5%) over the 4‐year educational program.

Conclusion

Our results highlighted the effectiveness of a focused e‐learning activity to improve teachers and school caretakers in the management of food allergic scholars and anaphylactic reactions during the school hours. The use of ICTs tools should become an integrated part of curricular frameworks in non‐university education, leading to a better care of FAA school children.