How Does a Pregnant Woman's Diet Affect the Baby Allergies

Nutrients. 2019 Aug; 11(8): 1851.

Pre-Formulation Maternal Nutrient Intake and the Association with Childhood Allergies

Jessica A. Grieger

aneRobinson Inquiry Institute, University of Adelaide, Due north Adelaide, S Australia 5000, Australia

2Field of study of Obstetrics and Gynaecology, Adelaide Medical Schoolhouse, University of Adelaide, Adelaide, South Australia 5000, Australia

Anita M. Pelecanos

3Statistics Unit, QIMR Berghofer Medical Enquiry Institute, Brisbane 4006, Australia

Cameron Hurst

3Statistics Unit, QIMR Berghofer Medical Research Constitute, Brisbane 4006, Australia

Andrew Tai

1Robinson Research Establish, University of Adelaide, N Adelaide, South Commonwealth of australia 5000, Australia

ivDepartment of Respiratory and Slumber medicine, Women's and Children's Hospital, Adelaide 5006, Commonwealth of australia

Vicki 50. Clifton

1Robinson Research Institute, University of Adelaide, North Adelaide, S Australia 5000, Australia

5Mater Medical Research Institute, University of Queensland, Brisbane 4101, Australia

Received 2019 Jul 12; Accepted 2019 Aug 7.

Abstruse

Background: Periconceptional diet may accept an of import function in programming the immune function and allergies, even so, there is a lack of studies assessing pre-formulation food intake and childhood allergic disorders. The aim of the electric current written report was to identify maternal pre-conception dietary components that may be associated with allergic disorders in children up to 3 years of age. Methods: Pregnant women attending their first antenatal visit and who were aged >18 years were invited to participate. Pre-conception food frequency data was retrospectively nerveless at 18 weeks' gestation. Childhood eczema, electric current wheeze, and rhinitis was assessed at 36 months of age using a questionnaire and dr. diagnosis (n = 234). Linear discriminant analysis (LDA) was used to explore the combination of dietary food components that best discriminated between allergy status in children. Results: Maternal pre-conception food intake such as depression and high fatty dairy, fresh fruit, unsaturated spreads, and take-away foods, were protective for whatever allergy assessed. Non-oily fish was protective for eczema and current wheeze; saturated spreads (due east.one thousand., butter) was protective for eczema, electric current wheeze, and rhinitis; poultry and fruit juice were adversely associated with each allergy. Conclusions: Pre-conception nutrient intakes demonstrate inconsistent and somewhat reverse relationships to the evolution of child allergies. Whether and how maternal food intake impacts the underlying fetal programming and the mechanisms of childhood allergy warrants further investigation.

Keywords: childhood allergy, eczema, wheeze, rhinitis, developmental programming, food intake, pre-conception nutrition, pregnancy

1. Introduction

The prevalence of asthma and allergies among children has become an increasing problem in the last few decades. The International Study of Asthma and Allergies in Babyhood (ISAAC) has consistently identified Commonwealth of australia, along with the UK, New Zealand and the Republic of Ireland, as having a relatively high prevalence of asthma in children [1,2]. In Australia, the incidence of asthma or wheeze in children aged 2–iii years was half dozen.four% and 15.iv%, respectively [3]. In Western countries, the prevalence of food allergies in children is approximately 4–7% but in up to 10% of infants has been reported in Australia [four]. Moreover, in regions of social disadvantage, the prevalence of asthma [5], rhinitis, and sensitisation is higher [6], highlighting the importance of identifying modifiable factors that may contribute to allergy development in children.

Extensive evidence implicates that exposures and events during the critical stages in pregnancy tin can alter offspring phenotype and affliction predisposition in afterwards life. In item, periconceptional nutrition may have an important role in programming immune office and allergies. There is evidence to suggest that college intakes of oily fish, omega 3 fat acid, or high dose omega 3 supplements in early on or belatedly pregnancy may reduce the risk of offspring atopic disease [vii,viii,9,10,eleven,12,13], and college full and individual dairy products were associated with a reduction in childhood allergic disorders [14,15,16]. The results were inconsistent for fruit or vegetable consumption, showing either a reduced adventure for asthma or wheeze [xiii], no clan [12], or an increased adventure of sensitization against food allergens at ii years [10]. In a recent systematic review of observational and intervention studies, there were no consequent associations for a range of maternal dietary exposures including fruits, vegetables, citrus fruits, nuts, cereal, milk, or egg intake in pregnancy, and the risk of allergic outcomes during the start year of life [17]. The assay however showed a loftier risk of bias, the search strategy was only up until 2013, neglecting a series of studies postal service this date, and the identification of allergies in the commencement yr of life may not correspond the same prevalence identified in slightly older children.

In regions of low socioeconomic condition, diet quality is poor [18,19], and both depression socioeconomic condition [6] and poor diet quality [11,20] assembly with a higher risk of allergies. The authors take previously shown that a pre-conception high fat/sugar/takeaway dietary pattern was associated with an increased likelihood of uncontrolled asthma in pregnancy [21]. However, while at that place is the notion that maternal diet during pregnancy may play a office in infant allergy outcomes, there is a lack of studies assessing pre-conception food intake and childhood allergic disorders. The aim of the current study was to identify maternal pre-conception nutrition that may be associated with allergic disorders in children up to 3 years of historic period.

two. Materials and Methods

2.1. Study Setting and Population

This study is a secondary analysis of a larger prospective cohort study from the Lyell McEwin Hospital, Adelaide, Due south Australia, Australia, that assessed the effects of asthma during pregnancy on the mother, placenta, and baby [22]. The Lyell McEwin Hospital is a tertiary teaching hospital in a socially disadvantaged surface area of northern Adelaide. Meaning women attending their first antenatal visit and who were anile >18 years were invited to participate. The recruitment and data drove for all women and their babies took place betwixt May 2009 and July 2013. Of the 400 pregnant women who consented, 91 women withdrew from additional participation because of the post-obit: (i) Unable to exist contacted (n = x); (2) could not attend appointments/not interested (n = 56); (3) relocated (n = nine); (4) miscarriage (northward = 12); or (five) voluntary termination of the pregnancy (n = 4). This left 309 women included in the written report. The project was approved by The Queen Elizabeth Hospital and Lyell McEwin Infirmary Human Enquiry Ethics Committee and The University of Adelaide Human Research Ideals Committee. All women gave written informed consent.

ii.two. Maternal Information Drove

At the first antenatal clinic visit, at a median xiii weeks' gestation, the demographics were nerveless. These included maternal age and ethnicity, body weight measured to the nearest 0.i kg using calibrated electronic scales (Professional Medical Scale, ScalesPlus, Australia) and height was measured by a wall-mounted stadiometer. BMI was calculated as (weight (kg))/(height (m))ii and used equally a proxy measure out of usual weight condition. Maternal asthma condition was determined by the response to the question by the midwife, "Have you been told by a medico that you lot have asthma?" and "Have you lot used whatsoever asthma medications in the last twelvemonth similar salbutamol or a preventer?". The women were categorised as non-asthmatic or asthmatic. Asthma exacerbations were determined using questions asked by the midwife, equally previously reported and categorised equally controlled, mild exacerbation, or severe exacerbations [21]. Obstetric history, medical, mental and surgical wellness information, and socioeconomic status (Socio-Economical Indexes for Areas) were obtained from medical records. Gestational historic period was adamant by the engagement of the last menstrual period and confirmed at the eighteen-week ultrasound. Smoking history was recorded and women were categorised equally non-smoker/sometime smoker (the median duration that former smokers had last smoked was a median of 3 years prior to pregnancy)), women who quit smoking during pregnancy (median time was at 5 weeks' gestation) or current smokers (continuing to smoke in pregnancy).

2.three. Maternal Dietary Intake

At xviii weeks' gestation, the validated Cancer Council of Victoria'southward Dietary Questionnaire for Epidemiological Studies Food Frequency Questionnaire (FFQ) was used to obtain dietary intake information covering the 12 months earlier pregnancy (http://world wide web.cancervic.org.au/downloads/cec/FFQs/FFQ_sample_watermark.pdf). One hundred dissimilar foods (grams per solar day) were obtained from the FFQ and were assigned into 33 food components (grams per day) based on a previous Australian report [23] and used for assay.

2.iv. Child Allergy Outcomes

The follow-upwards data was nerveless on infants every 12 months from 6 months of age until 36 months of historic period, as described in our previous paper [22], but this written report only reported information at 36 months of age. Briefly, allergy (eczema, electric current wheeze, and rhinitis) was adamant based on the child's history and clinical tests by their general practitioner and/or allergy specialist and reported to the parent, who then completed a modified version of the International Study of Asthma and Allergy in Babyhood (ISAAC) questionnaire [24]. Key questions from the ISAAC questionnaire were used to gather the information on the symptoms of atopic eczema, current wheeze, and allergic rhinitis. Eczema was defined if the parents reported "Yes" to any ane of the following questions: "In the last 12 months, has your kid had a dry out itchy rash at any time?" and "Has your child ever had eczema?" The questions were asked for both current wheeze and asthma using the post-obit questions: "Has your child ever had wheezing or whistling in the breast at any time in the past?" (yes/no); "Has your child had wheezing or whistling in the chest in the final 12 months?" (yes/no); "Has your doctor ever told y'all that your child has asthma?" The GP asked about a history of recurrent wheeze and/or cough responding to the bronchodilator treatment, and although the asthma diagnosis is based on clinical grounds, there is ambiguity regarding asthma diagnosis in young children. This study labeled this issue every bit current wheeze for any aye response to these questions. Rhinitis was divers if the parents reported "Yes" to the question, "Has your child always had hayfever?", or if parents responded yeah to both questions, "In the last 12 months, has your child had a problem with sneezing, or a runny, or a blocked nose when he/she did non have a common cold or the influenza?" and "In the last 12 months, has this nose problem been accompanied by itchy/watery eyes?" The master effect was an allergy status in children. Information technology was defined as the presence of eczema, current wheeze, and/or rhinitis. The three secondary outcomes were the presence of eczema, current wheeze, or rhinitis. If a child had more than 1 allergy for the secondary outcomes, they were classified as positive for the allergy in question.

2.v. Statistical Methods

The summary statistics in the course of the number (percentage), the hateful (standard deviation) or median (interquartile range) were reported. The dietary food components were scaled and a linear discriminant analysis was used to explore the combination of dietary food components that all-time discriminated between allergy statuses in children. The cases with incomplete data were excluded for analysis (complete case assay). The linear discriminant analysis was performed on all 33 dietary nutrient components. To gauge the predictive accuracies of the models, both model sensitivity and specificity was reported. The assay was performed in R (v3.5.two; R Core team, 2018, Vienna, Austria) and the linear discriminant analysis was performed using the R package MASS [25].

3. Results

Of the 309 women who completed the pre-formulation FFQ, 273 had consented for follow upward of childhood allergy outcomes and 234 had completed the pre-conception diet information. The maternal and neonatal characteristics of those with completed the dietary data are reported in Table one. The median BMI was in the overweight range, and more than than ane third were obese (Tabular array 1). Over half of the written report group were in the lowest socioeconomic status group, with 75% being one-time or not-smokers. Approximately half of the women had asthma, of whom half had controlled asthma and half had balmy or astringent exacerbations.

Table 1

Maternal and neonatal characteristics.

Maternal Total (due north = 234)
Age (years), mean (SD) 26.9 (5.half dozen)
Weight (kg), median (IQR) 73 (61–85)
Body mass index (kg/1000two), median (IQR) 27.four (23.two–32.0)
Torso mass index category, n (%)
 <25 kg/m2 94 (40.3%)
 25–29 kg/mii 57 (24.5%)
 ≥thirty kg/mtwo 82 (35.two%)
Socioeconomic status, n (%)
 five (highest) eleven (4.vii%)
 iv 18 (7.7%)
 3 8 (3.4%)
 ii 66 (28.2%)
 1 (everyman) 131 (56.0%)
Ethnicity, n (%)
 Caucasian 217 (92.7%)
 Non-Caucasian 17 (seven.3%)
Smoking status, north (%)
 Non-smoker/old smoker 175 (74.8%)
 Quit during pregnancy 24 (ten.3%)
 Current smoker 35 (15.0%)
Asthma status, n (%)
 Non-asthmatic 108 (46.2%)
 Asthmatic 126 (53.8%)
Asthma exacerbations, due north (%)
 Non-asthmatic 108 (46.2%)
 Controlled 61 (26.1%)
 Mild exacerbation 33 (14.1%)
 Severe exacerbation 32 (xiii.7%)
Gravida, n (%)
 0–1 66 (28.4%)
 ≥two 166 (71.6%)
Parity, n (%)
 0 92 (39.8%)
 ≥1 139 (60.2%)
Neonatal
 Birthweight (grand), mean (SD) 3405 (564)
 Length (cm), hateful (SD) 1 49.viii (3.0)
 Head Circumference (cm), median (IQR) one 35 (34–36)
Sex, n (%)
 Male 117 (fifty%)
 Female 117 (50%)
 Gestation, weeks, median (IQR) 39 (38–40)
Allergy status at 3 years, due north (%)
 Any allergy/No allergy 188 (fourscore%)/46 (xx%)
 Eczema/No eczema 105 (45%)/129 (55%)
 Electric current wheeze/No current wheeze 131 (56%)/103 (44%)
 Rhinitis/No rhinitis 93 (forty%)/141 (60%)

3.1. Nutrient Components and Their Association with Allergy

Figure one outlines the linear discriminant coefficients (LDCs) of the nutrient components with allergy status. The positive coefficients indicate the food component is positively associated with allergy presence, while the negative coefficients bespeak the food component is protective. Various foods inside the same food group, for example, tomatoes, cherry-red/yellow vegetables, leafy greenish vegetables, were not consistently positively or negatively related to allergy status in children. Poultry and fruit juice (i.due east., 100% fruit juice) both had a positive relationship with children having the allergies of eczema, current wheeze, and rhinitis, while saturated spreads such as butter, refined grains and takeaway were all negatively related with these allergies. A high negative clan with current wheeze was observed for low fat dairy (LDC −0.78). Notwithstanding, low fat dairy had a positive association with rhinitis (LDC 0.31) and eczema (LDC 0.25). Other fish (e.yard., canned fish and not-fried fish) were positively related to rhinitis (LDC 0.28) but negatively related to eczema (LDC −0.32) and current wheeze (LDC −0.31).

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The linear discriminant coefficients >0.25 of dietary components of (a) whatever allergy, (b) current wheeze, (c) rhinitis and (d) eczema. The coefficients <−0.25 suggest a protective consequence and coefficients >0.25 signal a risky effect for the allergy status. The coefficients betwixt −0.25 and 0.25 are not presented.

Higher amounts of leafy green vegetables and potatoes coincided with rhinitis development, showing loftier LDCs of 0.58 and 0.47 respectively. Canned fruit had a highly negative association with rhinitis development (LDC −0.51). Refined grains had a highly negative association with eczema evolution (LDC −0.51). Salty type foods including vegemite (a yeast extract spread, similar to Marmite), tomato sauce, and processed meats, were associated with the development of eczema.

three.two. Prediction of Food Components and Allergy Status

The prediction accuracies of the linear discriminant analysis (LDA) nutrient component models predicting the allergy status were poor to moderate (Table 2). For any allergy, nearly were classified as having an allergy, resulting in very loftier sensitivity of 97.9% only a very poor specificity of 23.9%. Although a high specificity was observed for rhinitis (85.eight%), the sensitivity was poor (32.3%). Electric current wheeze and eczema had low to moderate accuracy measures.

Tabular array 2

Prediction accurateness of LDA (linear discriminant analysis).

Predicted Allergy Status Bodily Allergy Condition Sensitivity Specificity
Absent Nowadays
Any allergy
 Absent 11 4 97.ix% 23.nine%
 Present 35 184
Eczema
 Absent 99 53 49.5% 76.7%
 Present 30 52
Current wheeze
 Absent 55 32 75.half dozen% 53.4%
 Present 48 99
Rhinitis
 Absent-minded 121 63 32.iii% 85.eight%
 Present xx 30

4. Discussion

This report adds a unique contribution to the literature assessing pre-conception dietary components and their clan with the development of allergies in children upwards to three years of age. In this group of meaning women of relatively low socioeconomic status, of whom lx% were either overweight or obese (measured at the end of the starting time trimester), and approximately 50% were asthmatic, maternal pre-conception intake of a range of core and discretionary nutrient choices appeared protective of "any childhood allergy". Nevertheless, for individual allergies, refined grains, takeaway foods and saturated spreads appeared protective of childhood eczema, wheeze, and rhinitis; wholegrains, other vegetables, and tomatoes were protective of rhinitis; and fish (i.e., canned fish and not-fried fish) was protective for wheeze and eczema. Given the persistent increase in allergic disorders [1] and the global deterioration in diet quality [26], identifying key foods that may contribute to the development of child allergies is of articulate importance.

The level of social deprivation in this pregnant population is pregnant. Data from the Lyell McEwin Hospital service has previously demonstrated that 36% of meaning women reported they were abused as children, 35% reported major life stressors and xxx% reported a diagnosis of depression during antenatal care [27]. Population-based data besides reported that 40% of individuals in this community did not stop year 10 at high school, more than twenty% were unemployed, 27% were housed by the government and 22% of families simply had a female person parent [28]. Not surprisingly, the diet quality in the areas of low socioeconomic status is poor [29]. Additionally, more than a third of these women were obese, which is associated with low socioeconomic status [30], poor nutrition quality [31] and the development of atopy [32]. The burden of environmental take chances factors is impacted by socioeconomic position, highlighting the demand to address such modifiable behaviours, peculiarly before and during pregnancy, to optimize the health of their offspring.

Overall, the literature on maternal food intake and dietary patterns assessed during pregnancy and the development of childhood allergies are inconsistent. Typically, consumption of fish or omega 3 polyunsaturated fatty acids appears to be protective [7,viii,9,10,12,13], with other reported food intakes showing goose egg, positive, or adverse outcomes [10,12,thirteen,14,fifteen,xvi,17]. Moreover, there is uncertainty as to what time bespeak during pregnancy, or whether before or straight later pregnancy, may have the biggest influence on allergy outcomes [17]. There is some data to advise that periconceptional diet may take an important part in programming immune function and allergies, in detail, known allowed-modulatory agents including long-chain omega-3 polyunsaturated fatty acids [eleven], antioxidant vitamins, vitamin D and folate [33], but the precise mechanisms operating earlier and during pregnancy that link maternal nutrition to offspring allergy development take not been clearly established.

This study establish that the consumption of fish (i.eastward., canned fish and not-fried fish) may be protective for the development of child wheeze and eczema, simply was adversely associated with rhinitis. Only i recently published study was found assessing pre-pregnancy diet on allergies in children, finding no clan between maternal fish intake in the 1 twelvemonth prior to pregnancy and whatever type of child allergy [34]. In a meta-analysis of maternal nutrition during pregnancy and infancy and risk of allergic or autoimmune affliction, fish oil supplementation during pregnancy and breastfeeding was associated with a reduced hazard of sensitization to nutrient allergens just inconsistent results were found for the association with other allergic outcomes [17]. Observational studies however were inconclusive regarding the consumption of fish or fatty acids on allergy outcomes [17]. While individual studies demonstrated a protective outcome of maternal fish and omega 3 fat acids intake on offspring allergies, the synthesized result has been less convincing. Further mechanistic studies are needed to identify the all-time fourth dimension point for consuming fish and omega 3 fat supplements, and the optimal intake to reduce the development of allergies in offspring.

The protective event of depression fatty dairy consumption on the take a chance of wheeze corroborated the findings past Hallit et al. during pregnancy [35], but we written report an agin effect for eczema and rhinitis in contrast to other findings for eczema [xv,36]. Insufficiently, Maslova et al. reported a mid-pregnancy intake of depression-fat yoghurt increased the risk of kid asthma and allergic rhinitis at seven years, while whole milk was protective at 18 months of age [37]. The Differences in the results may be due to the nutrient contour of dairy products, which include saturated fatty acids, magnesium, zinc, and calcium, whereas yogurt additionally contains probiotics, and sometimes bogus sweeteners [38]. Whilst the role of additives in relation to the inflammation and allergies is unclear [39,twoscore], it may be that the specific blazon of dairy production consumed is more important in relation to allergy outcomes. Moreover, the cess of asthma is difficult in 3 years old, thus comparing our outcome of current wheeze in three years sometime to asthma in seven years erstwhile may reflect a different aetiology.

The consumption of fruit juice was adversely associated with each of the allergies assessed, whereas fresh fruit was protective for any allergy, and canned fruit protective for rhinitis development. While these specific results back up recommendations to consume fresh fruit and limit the consumption of fruit juice [41], there were inconsistent associations with fruit intake for other allergic outcomes, which are also reflected in the literature. Leafy green vegetables unexpectedly showed a positive association with rhinitis. The context in which these foods were eaten were non investigated, for example, leafy vegetables may have been consumed in a burger or spinach on a pizza, then information technology is difficult to interpret such findings.

This study further found that college pre-pregnancy intakes of refined grains, take-away, and saturated spreads were protective of childhood allergies. Ii studies constitute that frequent fast food consumption during pregnancy was associated with asthmatic symptoms in young children [42] and adolescents [43]. Nonetheless, 2 other studies reported maternal intake of foods high in saturated fats was associated with a decrease in upper airway symptoms at age 9–11 years [44] and a high intake of full saturated fat acids was associated with a decreased risk of asthma at 5 years [45]. While at that place are mechanisms through which dietary lipids exert pro-inflammatory or anti-inflammatory functions on the cells of the innate immune arrangement [46] and airway responses [47], the challenge is in identifying how and past what mechanisms maternal intakes prior to pregnancy may touch on allergy development in children. Furthermore, while several agencies recommend to limit the intake of saturated fats to support cardiovascular health in adults [48,49,50], such recommendations may not exist appropriate for pregnancy and in particular, the evolution of childhood allergies.

Some of our results may be due to reverse causation. While it may be expected that women with a family history of allergies have poor quality diets, contributing to the allergy in the child, this written report found that some healthier foods were associated with child allergies. This may be indicative of a behaviour change bias, where individuals adopt more positive behaviours over time or fifty-fifty exclude sure foods based on an allergy diagnosis. As the newly adopted dietary intake is assessed, this systematic misclassification may result in an apparent association of a healthier diet with the evolution of child allergies, which could readily be interpreted every bit a protective result of a poor-quality diet. While it is non possible to identify, test and model out this bias given the limitations inherent in our study pattern, if present, such systematic misclassification would exist expected to bias risk estimates towards the zippo.

In that location were some limitations in our written report. Beginning, the results may be influenced by selection bias: The written report population was from a socially disadvantaged area, one 3rd of the women were overweight/obese, and half were asthmatic. All of these factors have been previously associated with the evolution of allergies in offspring [vi,32,51,52]. Thus, the observed consequence this study reports may be exaggerated and it is non possible to assume an effect in women without these characteristics or who were not included in the study. All the same, this study adds to the maternal diet and allergy literature, which has more often than not shown inconsistent relationships. Second, the FFQ was used to mensurate nutrition amid the report participants. Although the FFQ is widely used in dietary studies and has been validated in several populations [53,54,55], there are a number of biases that can exist easily introduced into measuring diet including those associated with participant recall, compliance, and even the intake of allergenic foods in pregnancy [56]. Recall bias may accept been specially problematic since the participants were asked to recount their pre-conception nutrition only afterward they had conceived. Third, this written report is express regarding the statements about the causal link betwixt pre-conception diet and allergy status due to the observational nature of this study. For example, diet quality has consistently been associated with maternal BMI and smoking status, which are driven by socio-demographic factors. Untangling the complex interplay between these factors was something non within the telescopic of the present study. Assessment of medication apply (except required for asthma) or supplement employ, was non thoroughly nerveless in this dataset, but it is best-selling that their use may be associated with some of our findings (prevalence of allergies or association with dietary intake). 4th, the LDA assay is a true multivariate method and does not really lend itself to confounding bias adjustments that are seen in the classical biostatistical models such as logistic regression. Thus, while LDA accounts for correlations amidst the individual dietary items when classifying allergy status, the touch of other maternal exposures such as torso weight, medication and supplement apply, smoking, breastfeeding, and fifty-fifty hygiene practices, cannot be fully elucidated. Finally, the relatively modest sample size meant the authors were unable to cross-validate the model, and then the generalizability of these findings to the population is uncertain. Consequently, our findings demand to be recognised in terms of an exploratory analysis, in that this study had interesting observed associations that warrant farther investigation.

This study did take some strengths. To the authors' cognition, this is the first study that has applied LDA to examine the clan of pre-conception dietary food groups with child allergy outcomes. A linear discriminant analysis has the advantage of bookkeeping for how food groups vary together, every bit opposed to examining elements individually, and only then, adding them to the model. The LDAs multivariate nature should fairly reflect the inter-relatedness of food components inside a person's diet. This written report as well used a well characterised pregnant population with knowledge of maternal asthma and allergies, BMI, medications, mental wellness, smoking status equally well as diet which all could touch on on the future take chances of child allergy development.

5. Conclusions

Preconception nutrient intakes demonstrate inconsistent and somewhat opposite relationships toward the development of child allergies. This written report builds on the single previous study that has so far assessed maternal pre-pregnancy dietary intakes and describe some consistent relationships to those assessing maternal food intake during pregnancy. While it is established that maternal food intake plays a key function in fetal growth and development, whether and how maternal nutrient intake impacts the underlying fetal programming and mechanisms of childhood allergies warrants farther investigation.

Acknowledgments

The authors would like to acknowledge the valuable contributions made towards the collection and recording of data utilized in this study past the following individuals: Karen Rivers, Nicolette Hodyl, Kate Roberts-Thomson, Annette Osei-Kumah, and Sarah Riley. The authors would also the similar to acknowledge the input from the clinical team at the Lyell McEwin Hospital that includes Chris Tuckwell, Anil Roy, Bill Jeffries, Brian Smith, and Gustaaf Dekker. Lastly, the authors would like to acknowledge the report participants—the mothers whom were recruited during their pregnancy and their children.

Writer Contributions

Conceptualization, 5.L.C. and J.A.G.; methodology, A.One thousand.P., C.H., A.T., V.L.C.; formal assay, A.K.P., and C.H.; writing—original draft training, J.A.G.; writing—review and editing, all authors.

Funding

5.L.C. was supported by NHMRC SRF APP1136100 and APP1041918. Funding for this project was also provided by University of Adelaide and Aqueduct 7 Children'south Foundation. V.L.C. is currently supported by the Translational Enquiry Institute, MRI-UQ and the Mater Foundation.

Conflicts of Interest

The authors declare no conflicts of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.

References

i. Pearce N., Ait-Khaled North., Beasley R., Mallol J., Keil U., Mitchell E., Robertson C., ISAAC Phase 3 Study Grouping Worldwide trends in the prevalence of asthma symptoms: Phase 3 of the International Study of Asthma and Allergies in Babyhood (ISAAC) Thorax. 2007;62:758–766. doi: 10.1136/thx.2006.070169. [PMC free commodity] [PubMed] [CrossRef] [Google Scholar]

two. Lai C.K., Beasley R., Crane J., Foliaki S., Shah J., Weiland Due south., International Study of Asthma and Allergies in Babyhood Phase Three Study Group Global variation in the prevalence and severity of asthma symptoms: phase three of the International Study of Asthma and Allergies in Babyhood (ISAAC) Thorax. 2009;64:476–483. doi: x.1136/thx.2008.106609. [PubMed] [CrossRef] [Google Scholar]

4. Loh W., Tang M.L.Thousand. The Epidemiology of Nutrient Allergy in the Global Context. Int. J. Environ. Res. Public Health. 2018;15:2043. doi: 10.3390/ijerph15092043. [PMC free commodity] [PubMed] [CrossRef] [Google Scholar]

5. Australian Centre for Asthma Monitoring (ACAM) Asthma in Australia 2011. AIHW Asthma Series No. 4. Cat. No. ACM 22. Australian Institute of Wellness and Welfare; Canberra, Australia: 2011. [Google Scholar]

6. Almqvist C., Pershagen One thousand., Wickman One thousand. Low socioeconomic status every bit a risk cistron for asthma, rhinitis and sensitization at 4 years in a birth cohort. Clin. Exp. Allergy. 2005;35:612–618. doi: 10.1111/j.1365-2222.2005.02243.10. [PubMed] [CrossRef] [Google Scholar]

7. Nwaru B.I., Erkkola Yard., Lumia Yard., Kronberg-Kippila C., Ahonen S., Kaila M., Ilonen J., Simell O., Knip M., Veijola R., et al. Maternal intake of fatty acids during pregnancy and allergies in the offspring. Br. J. Nutr. 2012;108:720–732. doi: x.1017/S0007114511005940. [PubMed] [CrossRef] [Google Scholar]

viii. Romieu I., Torrent K., Garcia-Esteban R., Ferrer C., Ribas-Fito Due north., Anto J.M., Sunyer J. Maternal fish intake during pregnancy and atopy and asthma in infancy. Clin. Exp. Allergy. 2007;37:518–525. doi: 10.1111/j.1365-2222.2007.02685.ten. [PubMed] [CrossRef] [Google Scholar]

9. Salam M.T., Li Y.F., Langholz B., Gilliland F.D. Maternal fish consumption during pregnancy and take chances of early childhood asthma. J. Asthma. 2005;42:513–518. doi: 10.1081/JAS-200067619. [PubMed] [CrossRef] [Google Scholar]

10. Sausenthaler South., Koletzko S., Schaaf B., Lehmann I., Borte M., Herbarth O., von Berg A., Wichmann H.E., Heinrich J., Grouping Fifty.Southward. Maternal diet during pregnancy in relation to eczema and allergic sensitization in the offspring at 2 y of historic period. Am. J. Clin. Nutr. 2007;85:530–537. [PubMed] [Google Scholar]

11. Venter C., Meyer R.W., Nwaru B.I., Roduit C., Untersmayr Eastward., Adel-Patient K., Agache I., Agostoni C., Akdis C.A., Bischoff S., et al. EAACI position paper: Influence of dietary fatty acids on asthma, nutrient allergy, and atopic dermatitis. Allergy. 2019 doi: ten.1111/all.13764. [PubMed] [CrossRef] [Google Scholar]

12. Viljoen Grand., Segurado R., O'Brien J., Murrin C., Mehegan J., Kelleher C.C., DMed on behalf of the Lifeways Cross Generation Cohort Study Steering Grouping Pregnancy diet and offspring asthma chance over a x-year period: The Lifeways Cross Generation Cohort Report, Ireland. BMJ Open. 2018;eight:e017013. doi: 10.1136/bmjopen-2017-017013. [PMC free article] [PubMed] [CrossRef] [Google Scholar]

13. Willers S.Thou., Devereux G., Craig L.C., McNeill G., Wijga A.H., Abou El-Magd W., Turner Southward.W., Helms P.J., Seaton A. Maternal food consumption during pregnancy and asthma, respiratory and atopic symptoms in 5-year-sometime children. Thorax. 2007;62:773–779. doi: 10.1136/thx.2006.074187. [PMC free article] [PubMed] [CrossRef] [Google Scholar]

14. Chatzi L., Garcia R., Roumeliotaki T., Basterrechea M., Begiristain H., Iniguez C., Vioque J., Kogevinas M., Sunyer J., INMA study group et al. Mediterranean diet adherence during pregnancy and chance of wheeze and eczema in the start yr of life: INMA (Spain) and RHEA (Greece) female parent-kid accomplice studies. Br. J. Nutr. 2013;110:2058–2068. doi: 10.1017/S0007114513001426. [PubMed] [CrossRef] [Google Scholar]

15. Miyake Y., Tanaka Chiliad., Okubo H., Sasaki S., Arakawa 1000. Maternal consumption of dairy products, calcium, and vitamin D during pregnancy and infantile allergic disorders. Ann. Allergy Asthma Immunol. 2014;113:82–87. doi: 10.1016/j.anai.2014.04.023. [PubMed] [CrossRef] [Google Scholar]

16. Miyake Y., Sasaki South., Tanaka K., Hirota Y. Dairy food, calcium and vitamin D intake in pregnancy, and wheeze and eczema in infants. Eur. Respir. J. 2010;35:1228–1234. doi: 10.1183/09031936.00100609. [PubMed] [CrossRef] [Google Scholar]

17. Garcia-Larsen V., Ierodiakonou D., Jarrold K., Cunha Due south., Chivinge J., Robinson Z., Geoghegan N., Ruparelia A., Devani P., Trivella M., et al. Diet during pregnancy and infancy and take chances of allergic or autoimmune disease: A systematic review and meta-analysis. PLoS Med. 2018;xv:e1002507. doi: 10.1371/journal.pmed.1002507. [PMC gratuitous article] [PubMed] [CrossRef] [Google Scholar]

eighteen. Li S., Lei F., Zhang R., Liu D., Qu P., Cheng Y., Liu X., Chen F., Dang South., Yan H. Socioeconomic disparity in the diet quality of pregnant women in Northwest Communist china. Asia Pac. J. Clin. Nutr. 2019;28:330–340. [PubMed] [Google Scholar]

xix. Wilson J.Eastward., Blizzard L., Gall S.L., Magnussen C.Yard., Oddy Westward.H., Dwyer T., Venn A.J., Smith K.J. An age-and sex-specific dietary guidelines index is a valid measure out of diet quality in an Australian cohort during youth and machismo. Nutr. Res. 2019;65:43–53. doi: 10.1016/j.nutres.2019.01.007. [PubMed] [CrossRef] [Google Scholar]

20. Grieger J.A., Wood L.1000., Clifton V.Fifty. Improving asthma during pregnancy with dietary antioxidants: The current evidence. Nutrients. 2013;five:3212–3234. doi: 10.3390/nu5083212. [PMC free article] [PubMed] [CrossRef] [Google Scholar]

21. Grieger J.A., Grzeskowiak L.E., Wood L.G., Clifton V.50. Asthma control in pregnancy is associated with pre-conception dietary patterns. Public Health Nutr. 2016;xix:332–338. doi: 10.1017/S1368980015001226. [PubMed] [CrossRef] [Google Scholar]

22. Tuck A., Grzeskowiak L., Osei-Kumah A., Saif Z., Edwards South.Thousand., Tai A., Prescott S.50., Tulic 1000., Saffery R., Clifton V.50. Distinct Sex-Specific Factor Expression Changes in the Placenta in Association with Childhood Allergy. Int. J. Respir. Pulm. Med. 2015;2 doi: 10.23937/2378-3516/1410033. [CrossRef] [Google Scholar]

23. Ambrosini G.Fifty., Oddy Due west.H., Robinson M., O'Sullivan T.A., Hands B.P., de Klerk North.H., Silburn Southward.R., Zubrick S.R., Kendall One thousand.E., Stanley F.J., et al. Boyish dietary patterns are associated with lifestyle and family psycho-social factors. Public Wellness Nutr. 2009;12:1807–1815. doi: 10.1017/S1368980008004618. [PubMed] [CrossRef] [Google Scholar]

24. Asher Thou.I., Keil U., Anderson H.R., Beasley R., Crane J., Martinez F., Mitchell Eastward.A., Pearce N., Sibbald B., Stewart A.W., et al. International Report of Asthma and Allergies in Childhood (ISAAC): Rationale and methods. Eur. Respir. J. 1995;8:483–491. doi: 10.1183/09031936.95.08030483. [PubMed] [CrossRef] [Google Scholar]

25. Venables W.N., Ripley B.D. Modern Applied Statistics with S. Springer-Verlag; New York, NY, USA: 2002. [Google Scholar]

26. Ronto R., Wu J.H., Singh 1000.1000. The global nutrition transition: trends, disease burdens and policy interventions. Public Health Nutr. 2018;21:2267–2270. doi: x.1017/S1368980018000423. [PubMed] [CrossRef] [Google Scholar]

27. Edwards B., Galletly C., Semmler-Booth T., Dekker Thou. Antenatal psychosocial run a risk factors and depression amongst women living in socioeconomically disadvantaged suburbs in Adelaide, South Australia. Aust. N. Z. J. Psychiatry. 2008;42:45–50. doi: 10.1080/00048670701732673. [PubMed] [CrossRef] [Google Scholar]

28. Glover J., Hetzel D., Glover L., Tennant S., Page A. A Social Wellness Atlas of S Australia. 3rd ed. The University of Adelaide; Adelaide, Australia: Mar, 2006. [Google Scholar]

29. Grech A., Sui Z., Siu H.Y., Zheng Grand., Allman-Farinelli M., Rangan A. Socio-Demographic Determinants of Diet Quality in Australian Adults Using the Validated Healthy Eating Index for Australian Adults (HEIFA-2013) Healthcare. 2017;5:7. doi: 10.3390/healthcare5010007. [PMC gratis commodity] [PubMed] [CrossRef] [Google Scholar]

30. Gomes D.C.K., Sichieri R., Junior Due east.Five., Boccolini C.S., de Moura Souza A., Cunha D.B. Trends in obesity prevalence amid Brazilian adults from 2002 to 2013 by educational level. BMC Public Wellness. 2019;xix:965. doi: 10.1186/s12889-019-7289-9. [PMC gratuitous commodity] [PubMed] [CrossRef] [Google Scholar]

31. Asghari G., Mirmiran P., Yuzbashian E., Azizi F. A systematic review of nutrition quality indices in relation to obesity. Br. J. Nutr. 2017;117:1055–1065. doi: ten.1017/S0007114517000915. [PubMed] [CrossRef] [Google Scholar]

32. Boulet L.P. Obesity and atopy. Clin. Exp. Allergy. 2015;45:75–86. doi: 10.1111/cea.12435. [PubMed] [CrossRef] [Google Scholar]

33. Amarasekera M., Prescott S.L., Palmer D.J. Nutrition in early on life, immune-programming and allergies: The office of epigenetics. Asian Pac. J. Allergy Immunol. 2013;31:175–182. [PubMed] [Google Scholar]

34. Baiz Due north., Just J., Chastang J., Forhan A., de Lauzon-Guillain B., Magnier A.M., Annesi-Maesano I., the EDEN Mother-Child Accomplice Study Group Maternal diet before and during pregnancy and take a chance of asthma and allergic rhinitis in children. Allergy Asthma Clin. Immunol. 2019;xv:40. doi: 10.1186/s13223-019-0353-2. [PMC free commodity] [PubMed] [CrossRef] [Google Scholar]

35. Hallit S., Raherison C., Abou Abdallah R., Hallit R., Salameh P. Correlation of types of food and asthma diagnosis in childhood: A case-control study. J. Asthma. 2018;55:966–974. doi: 10.1080/02770903.2017.1379535. [PubMed] [CrossRef] [Google Scholar]

36. Suarez-Varela M.Grand., Alvarez L.G., Kogan One thousand.D., Ferreira J.C., Martinez Gimeno A., Aguinaga Ontoso I., Gonzalez Diaz C., Arnedo Pena A., Dominguez Aurrecoechea B., Busquets Monge R.K., et al. Diet and prevalence of atopic eczema in 6 to vii-year-old schoolchildren in Kingdom of spain: ISAAC stage Iii. J. Investig. Allergol. Clin. Immunol. 2010;xx:469–475. [PubMed] [Google Scholar]

37. Maslova E., Halldorsson T.I., Strom M., Olsen Due south.F. Low-fat yoghurt intake in pregnancy associated with increased child asthma and allergic rhinitis adventure: A prospective cohort study. J. Nutr. Sci. 2012;1 doi: 10.1017/jns.2012.5. [PMC free article] [PubMed] [CrossRef] [Google Scholar]

38. Adolfsson O., Meydani Southward.North., Russell R.M. Yogurt and gut office. Am. J. Clin. Nutr. 2004;80:245–256. doi: 10.1093/ajcn/lxxx.ii.245. [PubMed] [CrossRef] [Google Scholar]

39. Roberts H.J. Aspartame as a crusade of allergic reactions, including anaphylaxis. Arch. Intern. Med. 1996;156:1027–1028. doi: 10.1001/archinte.1996.00440090139016. [PubMed] [CrossRef] [Google Scholar]

40. Kim J.Y., Seo J., Cho Yard.H. Aspartame-fed zebrafish showroom acute deaths with swimming defects and saccharin-fed zebrafish have superlative of cholesteryl ester transfer poly peptide activity in hypercholesterolemia. Food Chem. Toxicol. 2011;49:2899–2905. doi: 10.1016/j.fct.2011.08.001. [PubMed] [CrossRef] [Google Scholar]

42. Von Ehrenstein O.S., Aralis H., Flores M.E., Ritz B. Fast food consumption in pregnancy and subsequent asthma symptoms in immature children. Pediatr. Allergy Immunol. 2015;26:571–577. doi: 10.1111/pai.12433. [PubMed] [CrossRef] [Google Scholar]

43. Ellwood P., Asher 1000.I., Garcia-Marcos 50., Williams H., Keil U., Robertson C., Nagel G., Group I.P.I.S. Do fast foods cause asthma, rhinoconjunctivitis and eczema? Global findings from the International Study of Asthma and Allergies in Babyhood (ISAAC) stage iii. Thorax. 2013;68:351–360. doi: 10.1136/thoraxjnl-2012-202285. [PubMed] [CrossRef] [Google Scholar]

44. Fsadni C., Fsadni P., Montefort S., Fava S. Nutrient consumption and the take a chance of childhood allergy. Asia Pac. Allergy. 2018;viii:e35. doi: 10.5415/apallergy.2018.8.e35. [PMC free article] [PubMed] [CrossRef] [Google Scholar]

45. Lumia Yard., Luukkainen P., Tapanainen H., Kaila M., Erkkola M., Uusitalo L., Niinisto South., Kenward One thousand.G., Ilonen J., Simell O., et al. Dietary fatty acid composition during pregnancy and the take chances of asthma in the offspring. Pediatr. Allergy Immunol. 2011;22:827–835. doi: ten.1111/j.1399-3038.2011.01202.10. [PubMed] [CrossRef] [Google Scholar]

46. Simpson J.50., Scott R., Boyle One thousand.J., Gibson P.G. Inflammatory subtypes in asthma: Cess and identification using induced sputum. Respirology. 2006;xi:54–61. doi: 10.1111/j.1440-1843.2006.00784.x. [PubMed] [CrossRef] [Google Scholar]

47. Wood L.G., Garg M.L., Gibson P.1000. A high-fat challenge increases airway inflammation and impairs bronchodilator recovery in asthma. J. Allergy Clin. Immunol. 2011;127:1133–1140. doi: ten.1016/j.jaci.2011.01.036. [PubMed] [CrossRef] [Google Scholar]

48. National Health and Medical Research Council and Section of Health Nutrient Reference Values for Australia and New Zealand. Fats: Full Fatty and Fatty Acids. [(accessed on 3 July 2019)];2013 Available online: https://world wide web.nrv.gov.au/nutrients/fats-total-fat-fatty-acids.

l. Hooper L., Martin N., Abdelhamid A., Davey Smith Thousand. Reduction in saturated fatty intake for cardiovascular illness. Cochrane Database Syst Rev. 2015;6:CD011737. doi: ten.1002/14651858.CD011737. [PubMed] [CrossRef] [Google Scholar]

51. Lin X., Lim I.Y., Wu Y., Teh A.L., Chen L., Aris I.Chiliad., Soh S.Due east., Tint M.T., MacIsaac J.Fifty., Morin A.M., et al. Developmental pathways to adiposity begin before birth and are influenced by genotype, prenatal environment and epigenome. BMC Med. 2017;15:fifty. doi: ten.1186/s12916-017-0800-1. [PMC free commodity] [PubMed] [CrossRef] [Google Scholar]

52. Tariq S.M., Matthews South.Yard., Hakim E.A., Stevens Chiliad., Arshad S.H., Hide D.W. The prevalence of and risk factors for atopy in early on babyhood: A whole population birth cohort study. J. Allergy Clin. Immunol. 1998;101:587–593. doi: 10.1016/S0091-6749(98)70164-2. [PubMed] [CrossRef] [Google Scholar]

53. Hodge A., Patterson A.J., Brown Westward.J., Ireland P., Giles G. The Anti-Cancer Council of Victoria FFQ: Relative validity of nutrient intakes compared with weighed nutrient records in immature to middle-aged women in a study of iron supplementation. Aust. N. Z. J. Public Health. 2000;24:576–583. doi: 10.1111/j.1467-842X.2000.tb00520.x. [PubMed] [CrossRef] [Google Scholar]

54. Hebden L., Kostan Due east., O'Leary F., Hodge A., Allman-Farinelli One thousand. Validity and reproducibility of a food frequency questionnaire every bit a measure out of contempo dietary intake in young adults. PLoS One. 2013;eight:e75156. doi: ten.1371/periodical.pone.0075156. [PMC free commodity] [PubMed] [CrossRef] [Google Scholar]

55. Xinying P.Ten., Noakes One thousand., Keogh J. Can a food frequency questionnaire be used to capture dietary intake data in a 4 week clinical intervention trial? Asia Pac. J. Clin. Nutr. 2004;13:318–323. [PubMed] [Google Scholar]

56. Van Zyl Z., Maslin Thou., Dean T., Blaauw R., Venter C. The accuracy of dietary recall of infant feeding and food allergen data. J. Hum. Nutr. Diet. 2016;29:777–785. doi: ten.1111/jhn.12384. [PubMed] [CrossRef] [Google Scholar]

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