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Health-related quality of life worsens by school age amongst children with food allergy

  • Victoria Thörnqvist
  • Roelinde Middelveld
  • Hay Mar Wai
  • Natalia Ballardini
  • Evalill Nilsson
  • Jennie Strömquist
  • Staffan Ahlstedt
  • Lennart Jan Nilsson
  • Jennifer L. P. ProtudjerEmail author
Open Access
Letter to the Editor

Abstract

Background

Food allergy is negatively associated with health-related quality of life (HRQL). Although differences exist between parents and children, less is known about age-specific differences amongst children. As such, we aimed to identify if age, as well as other factors, are associated with food allergy-specific HRQL in an objectively defined population of children.

Methods

Overall, 63 children (boys: n = 36; 57.1%) with specialist-diagnosed food allergy to 1 + foods were included. Parents/guardians completed the Swedish version of a disease-specific questionnaire designed to assess overall- and domain-specific HRQL. Descriptive statistics and linear regression were used.

Results

The most common food allergy was hen’s egg (n = 40/63; 63.5%). Most children had more than one food allergy (n = 48; 76.2%). Nearly all had experienced mild symptoms (e.g. skin; n = 56/63; 94.9%), and more than half had severe symptoms (e.g. respiratory; 39/63; 66.1%). Compared to young children (0–5 years), older children (6–12 years) had worse HRQL (e.g. overall HRQL: B = 0.60; 95% CI 0.05–1.16; p < 0.04.). Similarly, multiple food allergies, and severe symptoms were significantly associated with worse HRQL (all p < 0.05) even in models adjusted for concomitant allergic disease. No associations were found for gender or socioeconomic status.

Conclusion

Older children and those with severe food allergy have worse HRQL.

Keywords

Children Food allergy Food hypersensitivity Health-related quality of life 

Abbreviations

EAI

epinephrine auto-injector

EI

emotional impact (a domain within the FAQLQ-PF)

FA

food anxiety (a domain within the FAQLQ-PF)

FAQLQ-PF

food allergy quality of life questionnaire-parent form

FoodHE II

food allergy and health economics study phase II

HRQL

health-related quality of life

IgE

immunoglobulin E

MCID

minimal clinically important difference

OFC

oral food challenge

SDL

social and dietary limitations (a domain within the FAQLQ-PF)

sIgE

allergen-specific IgE antibodies

95% CI

95th percent confidence interval

Introduction

Food allergy directly affects 4–10% of children [1, 2]. To minimise the risk of reaction, food allergy demands constant vigilance around food. Such vigilance requires behavioural changes for the food allergic individual and their family. These changes and the resulting impact on the family likely change based on the child’s age and development. Elsewhere, parents reported that their child’s food allergy had less of an impact on the child’s health-related quality of life (HRQL) than the child perceived him/herself [3]. Previously, we showed that, amongst those with staple food allergy, HRQL was worse amongst those who carried an epinephrine auto-injector (EAI) or had concomitant allergic disease [4, 5]. To our knowledge, differences within an age group have not been considered. Yet, as children begin to progress through developmental stages, including gender identify, literacy and self-advocacy, prior to adolescence, we hypothesised that age may be associated with differences in food allergy-HRQL. Therefore, we undertook a cross-sectional study involving Swedish children aged 0–12 years with specialist-diagnosed food allergy with the aim of identifying if age, and other factors, are associated with food allergy-specific HRQL in amongst children with specialist-diagnosed food allergy.

Methods

Children were recruited from two Swedish outpatient paediatric allergology clinics subsequent to a convincing history of allergy to at least one food and a positive Immuno-CAP test for allergen-specific Immunoglobulin E (IgE) antibodies to the same food. Exclusion criteria were an unclear food allergy diagnosis, other non-allergy chronic diseases, and/or limited understanding of the Swedish language.

Food allergy quality of life questionnaire-parent form

Parents who provided written informed consent were asked to complete the Swedish language version of the Food Allergy Quality of Life Questionnaire-Parent Form (FAQLQ-PF). This validated questionnaire permits consideration to overall food-allergy specific HRQL, and three domains: Emotional Impact (EI), Food Anxiety (FA) and Social and Dietary Limitations (SDL; Additional file 1: Table S1) [6]. Questions which contributed to these domains are described elsewhere [4]. For each HRQL-related question, Likert 7-point scale responses ranged from “not at all” to “extremely”. From these responses, mean scores for overall- and domain-specific HRQL were calculated. Parents also reported the child’s age (dichotomised into 0–5 or 6–12 years) and household income (split at the mean of 5021€ per month; classified as “lower” or “higher.”

The FAQLQ-PF includes questions on several proxies of severity

Previous symptoms

Classified as “less severe” (skin, mucosal membranes, gastrointestinal, rhinoconjunctivital symptoms) and “more severe” (cardiovascular, respiratory systems).

Anaphylaxis

Breathing difficulties, inability to stand, collapse, loss of consciousness.

EAI prescription

No vs. yes.

Concomitant allergic diseases:

Asthma, atopic dermatitis, allergic rhinitis; classified as 0–2 vs. 3.

Statistics

Descriptive statistics included sample sizes, means, and 95% confidence intervals (95% CI). Analytic statistics included parametric two-sample t-tests, and linear regression analyses, reported as β coefficients and 95% CI, with p < 0.05. Although previous research supports that gender may predict HRQL [7, 8], herein gender did not significantly alter the β coefficient and was thus excluded from further analyses. We also excluded anaphylaxis as a covariate to minimise the possibility of over-adjusting our statistical models, given the high correlation between anaphylaxis and the more rigorous and comprehensive definition of more severe symptoms. To contextualise statistical significance, minimal clinically important difference (MCID) was used (± ≥0.5 in HRQL score). Data were handled per the Swedish Personal Data Protection Act and the European Union’s General Data Protection Regulation. Ethical permission was obtained (Stockholm: DNR 2016/436-32; Linköping: DNR 2014/458-31).

Results and discussion

Overall, 63 children, were included, of whom 36 (57.1%) were boys (Additional file 2: Figure S1). Common allergens included hen’s egg (n = 40/63; 64%), tree nut (n = 32/63; 51%) and peanut (n = 28/63; 44%; Additional file 1: Table S2). The “other” category included 8 (13%) reported allergies to seeds other than sesame seeds, rice, legumes, spices and/or poultry. Multiple food allergies were common, as were skin and respiratory symptoms. Slightly less than half of the children had previous anaphylaxis and/or an EAI prescription. Most (83%) had at least one concomitant allergic disease, and almost half (44%) had all three.

Mean HRQL

Compared to overall HRQL, none of the domains differed significantly or achieved MCID (Additional file 1: Table S3). Compared to younger children, mean overall HRQL for older children was statistically significantly worse and almost three times greater than the MCID (3.27 vs. 2.06, respectively, p < 0.001; additional file 1: Table S4). Most proxies of severity were associated with significantly worse mean HRQL.

Age

Compared to children aged 0–5 years, children aged 6–12 years had worse overall HRQL (β = 0.60, 95% CI = 0.05–1.16, p < 0.05), FA (β = 1.09, 95%CI = 0.50–1.67, p = 0.001) and EI (β = 0.66, 95% CI = 0.07–1.24, p = 0.03; Table 1), but not SDL, in fully adjusted models. These findings suggest that children aged 6–12 years already recognise the unique demands and stresses of being food allergic, which are reflected in the domains FA and EI. Older children go to school and other activities without parental supervision, where they are responsible for making food-related choices [9]. This is juxtaposed against cognitive immaturity and, in some cases, preliteracy. Older children may be more troubled by the ongoing need for vigilance with regard to the stresses associated with making food-related choices, rather than the avoidance mandated by their food allergies. Thus, it is unsurprising that older children have worse HRQL than younger children.
Table 1

Linear regression analyses for children with specialist-diagnosed food allergy, by age group (n = 63)

HRQL

Unadjusted

Model 1

Model 2

B

95% CI

p value

B

95% CI

p value

B

95% CI

p value

Overall

 0–5 years

Ref

  

Ref

  

Ref

  

 6–12 years

1.21

0.61–1.82

<0.001

0.71

0.18–1.23

0.01

0.60

0.05–1.16

0.04

FA

 0–5 years

Ref

  

Ref

  

Ref

  

 6–12 years

1.51

0.93–2.09

<0.01

1.06

0.52–1.61

<0.001

1.09

0.50–1.67

0.001

EI

 0–5 years

Ref

  

Ref

  

Ref

  

 6–12 years

1.27

0.67–1.88

<0.001

0.76

0.21–1.31

0.008

0.66

0.07–1.24

0.03

SDL

 0–5 years

Ref

  

Ref

  

Ref

  

 6–12 years

0.94

0.18–1.69

0.02

0.39

− 0.35–1.13

0.30

0.20

− 0.58–0.97

0.61

95% CI 95th percent confidence interval, EAI epinephrine autoinjector, EI emotional impact, FA food anxiety, HRQL health-related quality of life, SDL social and dietary limitations

Adjusted for symptom severity, EAI prescription and number of concomitant allergic diseases

Adjusted for symptom severity, EAI prescription, number of concomitant allergic diseases and region

Proxies of severity

Compared to children with less severe symptoms only, children with more severe symptoms had worse HRQL overall and across domains, in unadjusted models only (Table 2). Compared to children without an EAI prescription, those who did had worse overall HRQL (ββ = 0.57, 95% CI − 0.01–1.15, p = 0.05) and FA (β = 0.97, 95% CI 0.36–1.58, p = 0.002), but not EI or SDL. Previously, we showed that severe symptoms and EAI prescription were associated with worse overall HRQL amongst children with staple food allergy [6]. Herein, we extended these analyses to include HRQL domains, the results of which showed that this association was exclusively driven FA amongst those with an EAI prescription. The questions that contribute to this domain capture the worry, fear and need for caution and concern when eating, including eating unfamiliar foods in unfamiliar places.
Table 2

Linear regression analyses for children with specialist-diagnosed food allergy, by proxies of severity (n = 59)

HRQL

Unadjusted

Model 1

Model 2

B

95% CI

p value

B

95% CI

p value

B

95% CI

p value

A. Symptom severity

Overall

 Less§

Ref

  

Ref

  

Ref

  

 More

0.95

0.29–1.61

0.005

0.46

− 0.13–1.05

0.12

0.51

− 0.09–1.10

0.09

FA

 Less§

Ref

  

Ref

  

Ref

  

 More

0.89

0.20–1.59

0.01

0.28

0.33–0.89

0.37

0.27

− 0.36–0.89

0.39

EI

 Less§

Ref

  

Ref

  

Ref

  

 More

1.01

0.34–1.67

0.004

0.55

− 0.07–1.16

0.81

0.59

− 0.03–1.22

0.06

SDL

 Less§

Ref

  

Ref

  

Ref

  

 More¶

0.96

0.13–1.78

0.02

0.48

− 0.34–1.31

0.24

0.57

− 0.25–1.39

0.17

B. EAI prescription

Overall

 No

Ref

  

Ref

  

Ref

  

 Yes

0.99

0.44–1.55

0.001

0.70

0.17–1.23

0.01

0.57

 0.01–1.15

0.05

FA

 No

Ref

  

Ref

  

Ref

  

 Yes

1.22

0.62–1.81

<0.001

0.94

0.39–1.50

0.001

0.97

0.36–1.58

0.002

EI

 No

Ref

  

Ref

  

Ref

  

 Yes

1.04

0.44–1.63

0.001

0.68

0.13–1.24

0.02

0.55

− 0.06–1.16

0.08

SDL

 No

Ref

  

Ref

  

Ref

  

 Yes

0.78

0.07–1.50

0.03

0.53

− 0.21–1.28

0.16

0.29

− 0.51–1.10

0.47

C. Number of concomitant allergic disease

Overall

 0–2

Ref

  

Ref

  

Ref

  

 3

0.93

0.29–1.57

0.005

0.41

− 0.13–0.95

0.13

0.42

− 0.12–0.95

0.13

FA

 0–2

Ref

  

Ref

  

Ref

  

 3

0.81

0.13–1.49

0.02

0.24

− 0.32–0.79

0.40

0.23

− 0.33–0.80

0.41

EI

 0–2

Ref

  

Ref

  

Ref

  

 3

0.93

0.27–1.58

0.006

0.39

− 0.18–0.95

0.17

0.39

− 0.17–0.96

0.17

SDL

 0–2

Ref

  

Ref

  

Ref

  

 3

1.07

0.31–1.82

0.006

0.63

− 0.13–1.38

0.10

0.64

− 0.11–1.38

0.09

95% CI 95th percent confidence interval, EAI epinephrine autoinjector, EI emotional impact, FA food anxiety, HRQL health-related quality of life, SDL social and dietary limitations

Adjusted for age, EAI prescription and number of concomitant allergic diseases

Adjusted for age, EAI prescription, number of concomitant allergic diseases and region

§Less severe symptoms: skin, oral, gastroenteritis and/or rhinoconjunctivitis

More severe symptoms: respiratory and/or cardiovascular

Like other authors, we found no differences in HRQL when comparing 3 vs. 0–2 concomitant allergic diseases in models adjusted for EAI prescription and symptom severity [4, 8]. More severe food allergy may reduce any effects of concomitant allergic diseases on HRQL, potentially because food allergy demands constant vigilance during meals and social events, whereas concomitant allergic diseases do not necessarily demand continual awareness. At the same time, children with food allergy and concomitant asthma are at greater risk for severe allergic reactions, including anaphylaxis. Thus, concomitant allergic diseases should not be dismissed entirely when evaluating food allergy-related HRQL. Most of our study participants had at least one concomitant allergic disease, which may have diluted the impact of these diseases.

Recently, food allergy has been linked with anxiety [10]. The FAQLQ-PF is not designed or intended to identify this condition. However, we found that the domains EI and FA, but not SDL, were more often significantly worse for children with more severe disease. These findings provide additional evidence that the emotional challenges of food allergy are more impactful than the requisite behavioural changes.

Conclusion

Older children and those with severe food allergy have poor HRQL, particularly within the domains FA and EI. These findings suggest that the emotional challenges of food allergy are more impactful than the requisite behavioural changes, particularly as school-aged children reach an age where they start assume greater self-management.

Notes

Authors’ contributions

VT completed this work as part of her research study in medical school. She drafted the manuscript and approved the submitted version. RM provided constructive critique through all stages of the study, from grant applications through manuscript preparation. She approved the submitted version of the manuscript. HMW was involved as a student in this project. She provided feedback throughout the project and approved the submitted manuscript. NB provided assistance on participant recruitment, guidance on clinical aspects of all stages of the study, and approved the submitted version of the manuscript. EN provided constructive insight into the interpretation of the findings and the extent literature. She approved the submitted manuscript. JS provided clinical knowledge on the study, and approved the final version. SA provided constructive critique through all stages of the study, from grant applications through manuscript preparation. He approved the submitted version of the manuscript. LN provided constructive critique through all stages of the study, from grant applications, and clinical relevance, through manuscript preparation. He approved the submitted version of the manuscript. JP is the study PI. She secured funding and ethical approval, provided student supervision in all aspects of the study, and provided guidance in the writing of the manuscript. She approved the submitted version of the manuscript. All authors read and approved the final manuscript.

Acknowledgements

We acknowledge the nurses and other staff at Sachsska Södersjukhuset Section of Pediatric Allergy for their help with participant recruitment.

Competing interests

The authors declare that they have no competing interests.

Availability of data and materials

Data requests will be considered on an case-by-case basis by the study authors. Inquires for copies of the questionnaire may be directed to the corresponding author.

Consent for publication

Not applicable.

Ethics approval and consent to participate

Data were handled per the Swedish Personal Data Protection Act and the European Union’s General Data Protection Regulation. Ethical permission was obtained (Stockholm: DNR 2016/436-32; Linköping: DNR 2014/458-31). Written informed consent was obtained from parents prior to their participation in the study.

Funding

This project was funded by Sweden’s Asthma and Allergy Research Foundation, Grant Number F2015-0004, the Centre for Allergy Research at Karolinska Institutet (Stockholm) and Sweden’s Asthma and Allergy Research Foundation, grant number F2015-0042, Allergy Center, University Hospital, (Linköping). We acknowledge the support of the Karin and Sten Mörtstedt Initiative on Anaphylaxis.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary material

13601_2019_244_MOESM1_ESM.docx (31 kb)
Additional file 1: Table S1. Description of characteristics of the three HRQL domains. Table S2. Characteristics of children aged 0–12 years with specialist-diagnosed food allergy. Table S3. Overall and domain-specific HRQL mean scores in the entire study population (n = 63). Table S4. Disease severity and overall HRQL according to participant background, symptoms of food allergy, type of food allergy and presence of concomitant allergic diseases in children with specialist-diagnosed food allergy, aged 0–12 years.
13601_2019_244_MOESM2_ESM.docx (24 kb)
Additional file 2: Figure S1. Enrolment of children aged 0-12 years with specialist-diagnosed food allergy, recruited from allergology clinics.

References

  1. 1.
    Nwaru BI, Hickstein L, Panesar SS, Roberts G, Muraro A, Sheikh A. Prevalence of common food allergies in Europe: a systematic review and meta-analysis. Allergy. 2014;69(8):992–1007.CrossRefGoogle Scholar
  2. 2.
    Sicherer SH, Sampson HA. Food allergy: a review and update on epidemiology, pathogenesis, diagnosis, prevention, and management. J Allergy Clin Immunol. 2018;141(1):41–58.CrossRefGoogle Scholar
  3. 3.
    van der Velde JL, Flokstra-de Blok BMJ, Dunngalvin A, Hourihane JO’B, Duiverman EJ, Dubois AEJ. Parents report better health-related quality of life for their food-allergic children than children themselves. Clin Exp Allergy. 2011;41(10):1431–9.CrossRefGoogle Scholar
  4. 4.
    Protudjer JLP, Jansson SA, Östblom E, Heibert Arnlind M, Bengtsson U, Dahlen S-E, et al. Health-related quality of life in children with objectively-diagnosed staple food allergy assessed with a disease-specific questionnaire. Acta Paediatr. 2015;104(10):1047–54.CrossRefGoogle Scholar
  5. 5.
    Protudjer JLP, Jansson SA, Middelveld RJM, Östblom E, Dahlén S-E, Heibert Arnlind M, et al. Impaired health-related quality of life in adolescents with allergy to staple foods. Clin Transl Allergy. 2016;6:37.CrossRefGoogle Scholar
  6. 6.
    DunnGalvin A, de BlokFlokstra BM, Burks AW, Dubois AE, Hourihane JO. Food allergy QoL questionnaire for children aged 0-12 years: content, construct, and cross-cultural validity. Clin Exp Allergy. 2008;38(6):977–86.CrossRefGoogle Scholar
  7. 7.
    Stensgaard A, Bindslev-Jensen C, Nielsen D, Munch M, DunnGalvin A. Quality of life in childhood, adolescence and adult food allergy: patient and parent perspectives. Clin Exp Allergy. 2017;47(4):530–9.CrossRefGoogle Scholar
  8. 8.
    Marklund B, Ahlstedt S, Nordström G. Health-related quality of life in food hypersensitive schoolchildren and their families: parents’ perceptions. Health Qual Life Outcomes. 2006;4:48.CrossRefGoogle Scholar
  9. 9.
    Cummings AJ, Knibb RC, King RM, Lucas JS. The psychosocial impact of food allergy and food hypersensitivity in children, adolescents and their families: a review. Allergy. 2010;65(8):933–45.CrossRefGoogle Scholar
  10. 10.
    Feng C, Kim JH. Beyond avoidance: the psychological impact of food allergies. Clin Rev Allergy Immunol. 2018.Google Scholar

Copyright information

© The Author(s) 2019

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors and Affiliations

  • Victoria Thörnqvist
    • 1
    • 2
  • Roelinde Middelveld
    • 1
    • 2
  • Hay Mar Wai
    • 1
    • 2
  • Natalia Ballardini
    • 2
    • 3
  • Evalill Nilsson
    • 5
  • Jennie Strömquist
    • 4
  • Staffan Ahlstedt
    • 1
    • 2
  • Lennart Jan Nilsson
    • 4
  • Jennifer L. P. Protudjer
    • 1
    • 2
    • 6
    • 7
    • 8
    Email author
  1. 1.The Centre for Allergy ResearchKarolinska InstitutetStockholmSweden
  2. 2.The Institute of Environmental Medicine, Karolinska InstitutetStockholmSweden
  3. 3.Sachs’ Children and Youth Hospital, SodersjukhusetStockholmSweden
  4. 4.Pediatric AllergyLinköpings UniversitetetLinköpingSweden
  5. 5.Department of Medical and Health SciencesLinköping UniversityLinköpingSweden
  6. 6.Department of Pediatrics and Child HealthUniversity of ManitobaWinnipegCanada
  7. 7.George and Fay Yee Centre for Healthcare InnovationWinnipegCanada
  8. 8.The Children’s Health Research Institute of ManitobaWinnipegCanada

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