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Early childhood risk factors for rhinoconjunctivitis in adolescence: a prospective birth cohort study

Clinical and Translational Allergy20177:9

https://doi.org/10.1186/s13601-017-0147-x

Received: 29 November 2016

Accepted: 10 March 2017

Published: 3 April 2017

Abstract

Background

Rhinoconjunctivitis is a global health problem and one of the most common chronic conditions in children. Development of rhinoconjunctivitis depends on both genetic and environmental factors. Many studies have investigated rhinoconjunctivitis, but only few studies have evaluated the risk factors for non-allergic rhinoconjunctivitis in children finding family history of atopic diseases and gender to be of importance. The aim of this study was to investigate possible risk factors in early life for rhinoconjunctivitis, allergic as well as non-allergic, in adolescence.

Methods

The children in the Danish Allergy Research Center cohort were examined eight times from birth to 14 years of age. Visits included questionnaire-based interview, clinical examination, skin prick test and specific IgE. We used univariate and multivariate logistic regression to investigate the relationship between early-life risk factors and the development of rhinoconjunctivitis, allergic as well as non-allergic, in adolescence.

Results

Follow-up rate at 14-years was 66.2%. The prevalence of rhinoconjunctivitis was 32.8%. Family history of atopic diseases (aOR 2.25), atopic dermatitis (aOR 3.24), food allergy (aOR 3.89), early sensitization to inhalant and food allergens (aOR 2.92 and aOR 3.13) and male gender (aOR 1.90) were associated with allergic rhinoconjunctivitis but not with non-allergic rhinoconjunctivitis. Early environmental tobacco exposure was inversely associated with rhinoconjunctivitis (aOR 0.42), allergic (aOR 0.47) as well as non-allergic (aOR 0.43).

Conclusion

Different patterns of associations were revealed when stratifying rhinoconjunctivitis in allergic and non-allergic suggesting that allergic rhinoconjunctivitis and non-allergic-rhinoconjunctivitis are different phenotypes.

Keywords

RhinoconjunctivitisRisk factorAdolescenceLogistic regressionPredictorsBirth cohort

Background

Rhinoconjunctivitis (RC) is a global health problem and one of the most common chronic conditions in children [1] with a prevalence that is still increasing [2]. When symptoms occur as a result of exposure to an allergen to which the individual is sensitized, the term allergic-rhinoconjunctivitis is used, but few longitudinal studies have used the combination of symptoms and measurement of sIgE [3].

Development of RC including allergic RC depends on both genetic and environmental factors [4]. Studies have indicated that gender [5, 6], family atopy [2, 46], early sensitization [4, 7, 8], food allergy [9] and atopic dermatitis [4, 9] are risk factors for subsequent development of rhinoconjunctivitis. The association between breastfeeding [2, 5], having pets [10], early exposure to tobacco smoke [2, 11, 12], social class [4], early wheeze [13], obesity [14], older sibling(s) [1517] and allergic RC in adolescence is more contradictory.

Only a few studies have evaluated the prevalence [3, 18] and risk factors [17, 19] for non-allergic RC in children and they found family history of atopic diseases and gender to be of importance.

The Danish Allergy Research Center (DARC) cohort is a prospective birth cohort study with 6 follow-up examinations during the first 3 years of life and further two at 6 and 14 years. This gives a unique opportunity to explore risk factors in early childhood for the development of RC in adolescence. The aim of this study is to investigate possible risk factors in early life for RC, allergic as well as non-allergic, in adolescence.

Methods

Study population

The DARC cohort is a prospective non-interventional birth cohort study comprising 562 of 1095 consecutively enrolled full-term children born in the first two weeks of each month at Odense University Hospital, Denmark from November 1998 to November 1999. The children were evaluated during the first month of life and follow-up investigations were performed at 3, 6, 12, 18 months and 3, 6 and 14 years of age. All visits included questionnaire-based interviews, clinical examination, skin prick test (SPT), specific IgE (s-IgE), and at 6 and 14 years also spirometry. A detailed description was published previously [18].

Diagnostic criteria

Rhinoconjunctivitis (RC) at 14 years was defined as: At least two separate episodes in the previous 12 months with one or more of the following symptoms: sneezing, runny, blocked nose, or itchy, red, watery eyes apart from a upper airway infection.

Allergic rhinoconjunctivitis (allergic RC) at 14 years was defined as having symptoms of RC and s-IgE ≥ 0.35 kU/l (ImmunoCAP, Thermo Fisher Scientific, Sweden) and/or a positive SPT (ALK-ABELLO, Copenhagen, Denmark) with a mean wheal diameter ≥3 mm larger than the negative control to at least one of the inhalant allergens: grass, birch, mugwort, horse, dog, cat, Dermatophagoides pteronyssinus, Dermatophagoides farinae, Cladosporium herbarum and Alternaria alternata.

Non-allergic rhinoconjunctivitis (non-allergic RC) at 14 years was defined as symptoms of RC and s-IgE ≤ 0.35 kU/l and a negative SPT.

Sensitization up to 3 years of age was measured by s-IgE ≥ 1.43 SU/ml, as analyzed with Magic Lite (ALK-ABELLÓ, Denmark) to the inhalant or food allergens (Table 1). Also a higher cut off value with s-IgE ≥ 4.0 SU/ml (Magic Lite) was investigated. S-IgE measured by Magic Lite ≥1.43 and ≥4.0 SU/ml corresponds to ImmunoCAP ≥0.35 and ≥0.70 kU/l, respectively [20].
Table 1

Potential risk factors for rhinoconjunctivitis (RC), allergic RC and non-allergic RC, at 14 years

Risk factors 0–3 years

Reference

Gender, boys

Girls

Family history of atopic diseases at baselinea (FH)

No FH

Early sensitization to inhalant allergensb

No sensitization

Early sensitization to food allergensc

No sensitization

Food allergyd (FA)

No FA

Atopic dermatitise (AD)

No AD

Early wheeze: at least two episodes of wheezing

No wheeze

Elevated cord blood IgE ≥ 0.3 kU/l (CB-IgE)

CB IgE < 0.3 kU/l

Daily exposure to tobacco smoke from parents or others in the household at more than two visits (ETS)

No ETS

Maternal tobacco smoking in pregnancy

No ETS in utero

Cat and/or dog keeping (pets)

No pets

Exclusive breastfeeding ≥3 months (eBF)

eBF ≤ 3 months

Social classf

High

Overweight at 3 years (BMI girls ≤17.6 and boys ≤17.8) [27]

No overweight

Cesarean section

No section

Older siblings (siblings)

No older siblings

aOne of both parents with atopic disease

bElevated s-IgE (Magic Lite, ALK Abello) for one or more of the inhalant allergens grass, birch, mugwort, horse, cat, dog, Dermatophagoides pteronyssinus, Dermatophagoides farinae, Alternaria alternata or Cladosporium herbarum antibodies at one or more visits up to 3 years

cElevated s-IgE (Magic Lite, ALK Abello) for one or more of the food allergens cow’s milk, hen’s egg, wheat, peanut, codfish, shrimp or soy at one or more visits up to 3 years

dFood allergy (FA) was diagnosed by controlled elimination/challenge procedures with a positive oral food challenge (DBPCFC or OCFC) according to EAACI guidelines [28]

eBased on the Hanifin-Rajka criteria [29]

fClassified according to the grouping system of the Danish social research institute class 1–5 [30] 1–2 were considered “high”, 3–5 “low”

Statistical methods

Risk factors are described and defined in Table 1.

Crude and adjusted effect estimates were analyzed with (multiple) logistic regression and given as crude odds ratio (cOR) and adjusted odds ratio (aOR) with 95% confidence interval (95% CI). P values ≤0.05 were considered significant.

Based on knowledge from the literature the variables gender, family history (FH), early sensitization, food allergy (FA) and atopic dermatitis (AD) were identified as risk factors [4, 5, 7, 9, 13] for developing RC and allergic RC and included in the multiple logistic regression model without further analysis. Gender [17] and FH [17, 19] were identified as risk factors for non-allergic RC and therefore included in this model without further analysis.

All other potential risk factors in Table 1 were tested individually with RC, allergic RC and non-allergic RC using univariate logistic regression analysis and included in the final model for RC, allergic RC and non-allergic RC if P value was <0.10.

Correlation between risk factors were tested using Spearman’s correlation coefficients and negligible correlation was found (r ≤ 0.3) except between the variables maternal smoke in pregnancy and exposure to tobacco smoke (ETS) where the correlation was moderate (r = 0.34). Therefore, all variables were retained for further analysis.

All analyses were performed using STATA/SE (Stata Corporation, College Station, TX, USA).

Results

A total of 372 (66.2%) of the initial cohort (n = 562) completed the 14-years investigation, of whom 353 participated in at least 6 study visits. Flow-chart is presented in Fig. 1. Of the 190 not participating in the 14-years follow-up investigation significant less were in social class 1–2 and significantly more had mothers who smoked during pregnancy and at birth. A detailed description of the 14 years follow-up investigation was reported earlier [21].
Fig. 1

Flow-chart of the DARC cohort and the distribution of rhinoconjunctivitis (RC) in the 14 years follow-up investigation. Reference group was no RC. *One participant with RC had neither SPT nor IgE measured therefore could not be categorized as allergic or non-allergic

At 14 years 32.8% (122/372) had RC, 22.3% (83/372) had allergic-RC and 10.2% (38/372) non-allergic-RC, the proportion of children with persistent symptoms were equally distributed in those having allergic-RC as well as non-allergic-RC but more with allergic-RC used antiallergic treatment (Table 2). One had neither SPT performed or s-IgE measured and therefore could not be classified as allergic or non-allergic (Fig. 1). A total of 46.8% (174/372) had FH, 54.8% (204/372) had early sensitization to foods, mostly to cow’s milk, egg and wheat, while 30.4% (113/372) had early sensitization to inhalant allergens. A total of 4.8% (18/372) had verified FA and 23.4% (87/372) had AD. As many as 29.6% (110/372) were exposed to tobacco smoke (ETS) during pregnancy and 51.6% (192/372) up to the age of 3 (Table 3).
Table 2

Symptoms score and use of medication in those with symptoms of allergic and non-allergic RC

 

Allergic RC % (n)

Non-allergic RC % (n)

Allergic symptoms at least 1 h daily for at least 2 weeks from eyes and nose

37.4 (31)

36.8 (14)

Use of oral antihistamines

12.1 (52)

23.7 (9)

Use of nasal sodium cromoglicate

27.7 (23)

5.2 (2)

Use of intranasal corticosteroids

25.3 (21)

10.5 (4)

Use of other antiallergic medication

10.8 (9)

5.2 (2)

Use of any of the above medication

68.7 (57)

39.5 (15)

Table 3

Crude effect estimates for the associations between risk factor in early childhood and RC, allergic RC and non-allergic RC at 14 years of age

 

RC

Allergic RC

Non-allergic RC

Totala

Yes/no

cOR (CI 95%)

Totala

Yes/no

cOR (CI 95%)

Totala

Yes/no

cOR (CI 95%)

Gender

  

1.53 (0.99–2.36)

  

2.33 (1.39–3.91)*

  

0.65 (0.32–1.33)

 Boys (n = 178)

 

67/111

 

165

54/111

 

124

13/111

 

 Girls (n = 194)

 

55/139

 

168

29/149

 

164

25/139

 

FH (n = 174)

372

72/102

2.09 (1.35–3.25)*

333

52/102

2.43 (1.46–4.06)*

288

19/102

1.45 (0.73–2.88)

Early sensitization to inhalant allergens (n = 113)

372

47/66

1.75 (1.10–2.77)*

333

37/66

2.24 (1.34–3.76)*

288

10/66

1.00 (0.46–2.16)

Early sensitization to foods (n = 204)

372

80/124

1.94 (1.24–3.03)*

333

56/124

2.11 (1.25–3.55)*

288

24/124

1.74 (0.86–3.52)

s-IgE > 4.00 SU/ml to inhalant allergens (n = 56)

372

31/25

3.07 (1.72–5.48)*

333

28/25

4.58 (2.48–8.47)*

288

  

s-IgE > 4.00 SU/ml to food allergens (n = 57)

372

34/23

3.81 (2.12–6.84)*

333

30/23

5.59 (3.01–10.39)*

288

  

FA (n = 18)

372

14/4

7.97 (2.57–24.78)*

333

12/4

10.39 (3.25–36.22)*

288

2/4

3.42 (0.60–19.33)

AD (n = 87)

372

48/39

3.51 (2.13–5.78)*

333

41/39

5.28 (3.05–9.15)*

288

7/39

1.22 (0.50–2.97)

Early wheeze (n = 59)

372

23/36

1.38 (0.78–2.45)

333

17/36

1.53 (0.81–2.90)

288

6/36

1.12 (0.44–2.86)

CB IgE 0.3 (n = 62)

301

22/40

1.11 (0.62–2.00)

268

18/40

1.44 (0.76–2.73)

232

3/40

0.41 (0.12–1.43)

ETS (n = 192)

372

47/145

0.45 (0.29–0.71)*

333

34/145

0.50 (0.30–0.83)*

288

13/145

0.38 (0.18–0.77)*

Maternal tobacco smoking in pregnancy (n = 110)

372

30/80

0.69 (0.42–1.13)

333

24/80

0.86 (0.50–1.49)*

288

6/80

0.40 (0.16–0.99)*

Breast feed (n = 247)

362

78/169

0.76 (0.48–1.21)

323

51/169

0.67 (0.40–1.13)

277

26/169

0.99 (0.46–2.11)

Pets (n = 231)

372

75/156

0.96 (0.62–1.50)

333

52/156

1.01 (0.61–1.69)

288

22/156

0.83 (0.41–1.66)

Social class (n = 305)

372

99/206

0.92 (0.53–1.61)

333

64/206

0.72 (0.39–1.32)

288

34/206

1.82 (0.61–5.38)

Overweight at 3 years (n = 25)

320

8/17

0.86 (0.36–2.07)

285

3/17

0.46 (0.13–1.60)

243

5/17

1.87 (0.64–5.45)

Cesarean section (n = 44)

365

18/26

1.53 (0.80–2.92)

327

11/26

1.38 (0.65–2.93)

285

7/26

1.92 (0.77–4.79)

Older siblings (n = 182)

372

51/131

0.65 (0.42–1.01)

333

32/131

0.57 (0.34–0.94)*

288

19/131

0.91 (0.46–1.80)

aTotal number of children with data included in the analysis

P ≤ 0.05

Crude odds estimates for all risk factors are giving in Table 3.

RC and allergic RC

FH and AD up to 3 years of age were associated with RC and allergic RC in adolescence as well as early sensitization to inhalant and food allergens with s-IgE ≥ 4.00 SU/ml (Magic Lite corresponding to 0.7 kU/l by ImmunoCap). ETS was associated with a lower prevalence of RC and allergic RC (Table 4).
Table 4

Adjusted effect estimates (aOR CI 95%) for associations with RC, allergic RC and non-allergic RC at 14 years of age

 

RC

RC inc. s-IgE ≥ 4.00 SU/ml

Allergic RC

Allergic RC inc s-IgE ≥ 4.00 SU/ml

Non-allergic RC

aOR (CI 95%)

aOR (CI 95%)

aOR (CI 95%)

aOR (CI 95%)

aOR (CI 95%)

Gender

1.26 (0.78–2.04)

1.30 (0.80–2.12)

1.90 (1.06–3.41)*

2.08 (1.14–3.81)*

0.64 (0.31–1.32)

FH

2.01 (1.25–3.23)*

2.01 (1.24–3.26)*

2.25 (1.27–3.99)*

2.32 (1.28–4.18)*

1.45 (0.72–2.92)

Early sensitization to inhalant allergens

1.31 (0.78–2.20)

 

1.65 (0.91–3.02)

 

NI

Early sensitization to foods

1.62 (0.99–2.67)*

 

1.57 (0.86–2.87)

 

NI

s-IgE ≥ 4.00 SU/ml to inhalant allergens

 

2.03 (1.06–3.90)*

 

2.92 (1.43–5.96)*

NI

s-IgE ≥ 4.00 SU/ml to food allergens

 

2.38 (1.15–4.93)*

 

3.13 (1.41–6.95)*

NI

FA

3.49 (1.00–12.16)

2.36 (0.62–8.92)

3.89 (1.08–14.08)*

2.08 (0.52–8.31)

NI

AD

2.44 (1.37–4.33)*

2.11 (1.17–3.81)*

3.24 (1.72–6.12)*

2.68 (1.38–5.19)*

NI

ETS

0.42 (0.26–0.69)*

0.42 (0.26–0.69)*

0.47 (0.26–0.83)*

0.48 (0.27–0.87)*

0.43 (0.20–0.92)*

Maternal tobacco smoking in pregnancy

NI

NI

NI

NI

0.56 (0.21–1.46)

Older siblings

0.64 (0.40–1.03)

0.66 (0.41–1.07)

0.53 (0.30–0.94)*

0.55 (0.31–1.00)

 

NI not included due to univariate logistic regression analysis

P ≤ 0.05

We found no association between early wheeze, maternal smoking in pregnancy, pets, breastfeeding, elevated CB-IgE, social class, overweight at 3 years, cesarean section and RC and allergic RC in adolescence.

An association between male gender, FA and sibling were only found in those with allergic RC (Table 4).

Non-allergic RC

Among the 38 children with non-allergic RC no association with FH, early sensitization to inhalant and food allergens, FA, and AD was found, while ETS was significantly associated with less non-allergic RC in adolescence (Table 4).

Discussion

In this study, different patterns of associations were revealed by stratifying RC in allergic and non-allergic. It appears that atopic heredity and early atopic manifestations are important for the development of allergic RC in adolescence but less important for the development of non-allergic RC. Furthermore, early ETS was inversely associated with RC (aOR 0.42), allergic-RC (aOR 0.47) and non-allergic RC (aOR 0.43), in adolescence.

Family atopy (FH) was associated with allergic RC (aOR 2.25). The relation between FH and the development of rhinitis are well established in cohort studies [2, 4, 5, 9, 19]. Some argue that maternal atopy are more important than paternal atopy [22], but in the MAAS (Manchester Asthma and Allergy Study) study [2] both maternal asthma (OR 2.38) and paternal hayfever (OR 1.96) were significantly associated with RC at age 5. Having two parents with allergy was associated with allergic rhinitis at 13 years in the MAS (Multi-center Allergy Study) study [5] (OR 3.1) as was parental isolated hay fever with allergic rhinitis at 8 years in the Swedish BAMSE (Children Allergy Milieu Stockholm study) study [19] (OR 2.2), whereas parental isolated asthma or eczema was not. Our study did not have the sufficient power to differentiate between the different parental atopic diseases.

Food allergy (FA) was associated with allergic RC in adolescence (aOR 3.89). Among those participating at 14 years of age, 54.8% were sensitized to food allergens early but only 4.8% had verified FA up to 3 years, which may reflect the transient and often benign nature of food sensitization in infancy [8]. The association between food allergy in infancy and RC in adolescence is less investigated. In the Isle of Wight cohort an increased risk of nasal symptoms in those with FA at 1 and 4 years was found in the univariate analysis but this association disappeared in the multivariate analysis [9]. Using a higher cut-off value both early sensitization to inhalant allergens and foods reach significance, while the association between FA and allergic RC disappeared. This probably reflects sensitization in those with FA. Thus, weak sensitization to food and inhalant allergens in early life might be less important as a risk factor for subsequent development of allergic RC.

No association was found between FH, early sensitization to inhalant allergens or foods, AD and FA and non-allergic RC. Though analyzed in another way (time-to-event analysis) the same patterns were found in the German MAS study [7] while other studies of non-allergic RC found an association between FH and non-allergic RC [17, 19]. An explanation of the different patterns of association seen in the two diseases might be that allergic RC and non-allergic RC are different phenotypes with non-allergic RC not being driven by atopy but environmental factors. Another explanation might be that the children with non-allergic RC had milder symptoms and therefore may outgrow RC.

AD was in our study associated with both RC (aOR 2.44) and allergic-RC (aOR 3.24). Of 87 children that had AD up to 3 years, 48 developed RC in adolescence. Thus these children might follow a trajectory of the atopic march, whereas in two English cohort studies MAAS and ALSPAC (Avon Longitudinal Study of Parents and Children) [23] only a small proportion of children followed trajectory profiles similar to the atopic march.

In our study boys had a higher risk of allergic-RC in adolescence (aOR 1.90). A consistent male predominance in the prevalence of allergic rhinitis was seen in all ages in the German MAS cohort but only in those with allergic parents [5]. In the Isle of Wight cohort a male predominance was seen at 18 years in those with allergic rhinitis [6] while there was female predominance in non-allergic-rhinitis. Though not reaching statistical significance a tendency to female predominance in those with non-allergic RC was found in our study.

We found that having older siblings were inversely associated with allergic-RC (aOR 0.53). The relation between large family size and less hayfever was described by Strachan in 1989 [16] and summarized in the “hygiene hypothesis” [16] suggesting that allergic diseases were prevented by infections in early childhood transmitted by contact with older siblings. Other cohort studies report similar associations, the German MAS cohort [5] for allergic rhinitis and the Tucson cohort [24] for asthma. Though studies of the association between having older siblings and the development of RC are fairly consistent in the conclusions of the possible beneficial effect [5, 16] we found such an association for allergic RC, but not for non-allergic RC.

ETS before the age of 3 was inversely associated with RC (aOR 0.42), allergic-RC (aOR 0.47) and non-allergic RC (aOR 0.43) in adolescence. The same tendency was seen between maternal smoking during pregnancy and non-allergic RC though not reaching statistical significance. The inverse association between ETS and RC, allergic as well as non-allergic RC could be due to bias in different ways, firstly as report-bias, secondly that parents with atopy smoked less than parents without atopy and thirdly as a disease-related modification of exposure [25] if parents to symptomatic children quit smoking. Firstly, all follow-up investigations included measurement of parental expiratory carbon monoxide as an objective measurement of smoking which could enhance parents to report smoking more accurately. Secondly, ETS was reported in 51.6%, and 29.6% of the mothers smoked during pregnancy. Parental atopy at baseline was found in 46.8 and 46% of those reported smoking. Thirdly, parents to those developing allergic diseases are prone to stop smoking and among parents to children with atopic dermatitis and/or wheeze before 3 years only 24% were smokers at the 14 years follow-up. This indicates a possible reverse causation and that not only smoking exposure in early life, but also the long-lasting exposure was important. Another Danish study [12] found the same tendency with an inverse association for prenatal smoke exposure OR 0.8 and hayfever in adolescence and a large ISAAC study [11] found an inconsistent or weak association between ETS and RC. An explanation of a possible beneficial effect of ETS on RC could be an immunomodulatory effects of nicotine, which also indicates a possible beneficial effect of smoking in some inflammatory and neurodegenerative diseases [26].

Strengths and limitations

Our study has several limitations. First of all our study population are relative small and since the study included only 51.3% of those fulfilling the inclusion criteria, there is a risk for selection bias. However, this group did not differ from those that declined participation originally [18]. Participants at 14 years belonged to a higher social class and were less exposed to maternal smoking during pregnancy and birth, which may influence the prevalence of atopic diseases. Besides, participants in a cohort study may have increased awareness of atopic diseases resulting in an overestimation of the prevalence and on the other hand in avoidance of possible risk factors, which may result in lowering the prevalence. Despite of this we found a high prevalence of RC in adolescence which was in line with finding of other cohorts [6, 23]. In our study we used symptoms within the last 12 months and diagnosis of RC by a doctor and sensitization was determined both by SPT and measurement of s-IgE.

Of the 372 children participating at 14 years of age, 353 attended at least 6 follow-up investigations. The DARC cohort had 6 study visits in the first 3 years which allow us to compensate for missing data from 1 or more visits. Most of the environmental risk factors were only included if these were present at two visits or more, e.g. ETS, to validate the outcome.

Conclusion

In this study we used a widely used model to estimate the association between early-life risk factors and RC. Different patterns of association were revealed when stratifying RC in allergic and non-allergic suggesting that allergic RC and non-allergic RC are different phenotypes. Early sensitization is a risk factor for developing allergic RC in adolescence and a higher cut-off value of s-IgE seems associated with a higher risk.

Non-allergic RC is not driven by atopic heredity or early atopic manifestations but possibly by other mechanism to intrinsic or environmental factors.

In the future it appears important to explore the nature and clinical characteristics and course of non-allergic-RC in order to find optimal treatment options.

Furthermore the pattern of early sensitization to specific allergens and the relation to later atopic diseases seem important to investigate focusing on possible preventive measures.

Abbreviations

AD: 

atopic dermatitis

Allergic-RC: 

allergic rhinoconjunctivitis

aOR: 

adjusted odds ratio

BMI: 

body mass index

CB IgE: 

cord blood IgE

cOR: 

crude odds ratio

DARC: 

The Danish Allergy Research Center

eBF: 

exclusive breastfeeding

ETS: 

environmental tobacco smoke

FA: 

food allergy

FH: 

family history

Nonallergic-RC: 

nonallergic rhinoconjuntivitis

RC: 

rhinoconjunctivitis

S-IgE: 

specific IgE

SPT: 

skin prick test

Declarations

Authors’ contributions

ESC did the follow-up investigation, the data management and wrote the article. HFK, EE, CGM, SH, AH and CBJ critically reviewed the article. All authors read and approved the final manuscript.

Acknowledgements

We thank the children in the DARC cohort and their parents for their cooperation, and nurses Lis Lykkegaard and Joan Kramer and laboratory technicians Anni Larsen and Ulla Johannessen for skillful technical help. This work has been performed at The Allergy Center and Hans Christian Andersen Children’s Hospital, Odense University Hospital, Denmark.

Competing interests

The authors declare that they have no competing interests.

Availability of data and materials

All relevant raw data on which this article is based are available from the author.

Consent to publish

A written consent to publish was obtained from the parents of the participants in the DARC cohort.

Ethical approval, consent to participate

The study was conducted according to the latest version of the Declaration of Helsinki for biomedical research involving humans and approved by the Regional Scientific Ethical Committee for Southern Denmark: DARC cohort (S-VF-19980101). Before entering the study a written consent to participate and to publish was obtained from the parents of the participants in the DARC cohort.

Funding

The DARC trial has received funding from University of Southern Denmark, Odense University Hospital and ALK-Abelló, Denmark and Thermo Fisher Scientific, Uppsala, Sweden did the measurements of s-IgE.

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’ Affiliations

(1)
Department of Dermatology and Allergy Center, Odense Research Centre for Anaphylaxis (ORCA), Odense University Hospital, University of Southern Denmark
(2)
Hans Christian Andersen Children’s Hospital, Odense University Hospital, University of Southern Denmark

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Copyright

© The Author(s) 2017

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