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Maternal Folic acid Supplementation, Perinatal Factors and Preadolescent Asthma: Findings from the Healthy Growth Study

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30 July 2025

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31 July 2025

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Abstract
Background While the importance of folic acid supplementation during pregnancy in the prevention of neural tube defects in offspring is well-established, its potential role in pediatric asthma development remains unclear, with limited evidence to date. Aim To identify perinatal and environmental factors that modify the association between maternal folic acid intake and pre-adolescent asthma. Methods Cross-sectional analysis of the Healthy Growth Study that consisted of 2332 preadolescents (mean age 11 years, asthma n = 451), 50% boys attending elementary schools in Greece. Questionnaires were used to collect data on sociodemographic, perinatal, and environmental characteristics, asthma prevalence and maternal folic acid supplementation during pregnancy (trimesters 1, 2, and 3). Logistic regression models explored the association between maternal folic acid supplementation and preadolescent asthma accounting for perinatal and environmental exposures. Results Adjusted regression models showed that maternal folic acid supplementation during the 3rd-trimester was associated with 34% increased odds of pre-adolescent asthma. Stratified analyses per perinatal and environmental factors revealed significantly higher asthma odds with folic acid supplementation during 2nd- and 3rd-trimesters among pre-adolescents born < 37 weeks, non-smoking mothers, in pre-adolescents attending schools of low socio-economic level, in neighborhoods having less traffic and more parks. Contrastingly, in appropriate for gestational age (AGA), infant’s 1st -trimester supplementation increased asthma odds. Conclusions Maternal folic acid supplementation, particularly in later trimesters, was modestly associated with increased odds of pre-adolescent asthma, modified by perinatal and environmental factors. Future research should explore whether continued folic acid supplementation beyond the 1st-trimester carries differential risks or benefits in asthma.
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1. Introduction

The high incidence of asthma during pediatric years continues to baffle the medical community. Global trends substantiate that about 9% of children and 11% adolescents live with asthma [1]. Asthma, a chronic inflammatory lung disease, is defined by characteristic symptoms of wheezing, cough, chest tightness, and shortness of breath of varying severity and intensity [2]. On a world-wide scale, this lung disorder is ranked amongst the top 20 chronic pediatric diseases for disability-adjusted life years [3], exerting a serious threat to children’s wellbeing [3]. Furthermore, it contributes to increased morbidity, causing a physical and mental toll [4]. Asthma-related mortality rates are highest in countries of low and lower-middle sociodemographic index [5] due to underdiagnosis and inadequate treatment [6]. Even in high-income countries, population-specific differences in asthma risk and management have been observed, underscoring the need for localized evidence [7]. In this context, studying the Greek pediatric population is particularly important, given potential variations in genetic predisposition, diet, healthcare access, and environmental exposures that may influence asthma outcomes [8,9]. This condition is one of the main reasons for children’s school absenteeism [10], poor academic performance [11], and sleep deprivation [12]. In general, asthma results in decreased quality of life for the patient and a financial burden for the family and national healthcare system due to the need for emergency visits, hospitalizations, and medication use [13]. Disturbingly, the World Health Organization (WHO) predicts that by the year 2030, 400 million children, adolescents, and adults will suffer from asthma globally [14]. Currently, there is no remedy for asthma. Medication remains the gold standard for managing bronchial symptoms [2]. However, asthma control in pediatric populations remains suboptimal due to non-compliance with therapy [15] and in some cases limited access to healthcare resources, and inadequate availability of pulmonary function tests and medications [16]. Therefore, identifying risk factors to prevent asthma onset is critical to curbing its rise and burden in pediatric populations.
Over the last decade, increasing attention has been given to the impact of in-utero life on offspring health. The infamous Barker’s theory proposes that the intrauterine environment that the growing fetus is directly exposed to, including the maternal diet, plays a central role in the development of future chronic diseases in adulthood, including allergies [17]. Maternal exposures to nutritional and non-nutritional stressors during pregnancy can be transferred to the fetus via the placenta, shaping fetal immune responses during critical periods of development [18]. It is believed that environmental insults could cause epigenetic alterations, including DNA methylation, histone modifications and non-coding RNAs, impacting gene expression, favoring asthma development in progeny [19]. The concept of developmental plasticity or sensitivity to environmental stimuli, the phenomenon by which a specific genotype could initiate a diversity of physiological or morphological states in response to different environmental conditions during critical stages of development, is indeed intriguing [17] and warrants further investigation. This cascade could prime and trigger allergic sensitization, and lead to allergic disorders, including asthma in pediatric years [18].
A plethora of systematic reviews and meta-analyses have documented the significance of maternal diet quality promoting favorable birth outcomes [20,21]. Specifically, poor maternal diet quality has been significantly associated with higher odds of low birth weight, small for gestational age (SGA) [20,21], and preterm birth [21]. Emerging evidence also suggests that, maternal diet during pregnancy may influence the risk of asthma development in offspring [22]. While folic acid supplementation is well-established for its role in preventing neural tube defects in offspring [23], its potential contribution to pediatric asthma remains unclear and warrants further investigation. In particular, there is limited evidence on the effects of folic acid supplementation by trimester of exposure, and whether environmental or perinatal factors (e.g., socioeconomic status, preterm birth, or air pollution) may modify this association. Recently, Li et al. conducted a meta-analysis investigating the effect of maternal folic acid supplementation during pregnancy that included 15 studies and over 200, 000 children from 1-10 years old [24]. Results showed that exposure to maternal folic acid supplementation during pregnancy was associated with 11% higher risk of asthma in children (RR = 1.11; 95% CI = 1.06–1.17). In the same line, Yang et al. conducted a systematic review of 18 relevant studies (13 cohort studies, 5 case-control) investigating the effect of folic acid intake during pregnancy, and childhood asthma [25]. Pooled analysis of data from 253, 000 cases (ages ranged from 1 to12 years), and about 50, 000 children with asthma revealed that maternal folic acid intake during the first trimester was associated with 9% higher odds of asthma in offspring (first trimester OR = 1.09; 95% CI = 1.05–1.12), 15% higher odds in the third trimester (OR = 1.15; 95% CI = 1.04–1.26), and 13% higher odds of asthma for folic acid intake during the whole pregnancy (OR = 1.13; 95% CI = 1.10–1.16). Interestingly, the dose-response analysis showed that folic acid supplementation > 581 μg/day increased asthma risk in offspring [25]. Therefore, the potential association between folic acid association during pregnancy, commonly prescribed to prevent neural tube defects, and the risk of asthma in offspring warrants careful consideration.
Despite growing evidence, there is still a gap in understanding how perinatal and environmental factors may modify this association. This study aimed to identify such modifiers that influence the relationship between maternal folic acid supplementation and asthma in pre-adolescent children. We hypothesized that perinatal and various environmental exposures strengthen/predict the association between maternal folic acid supplementation and asthma in pre-adolescence. From a public health point of view, the findings of this study may have relevance in formulating public health strategies and on the implementation of childhood asthma preventive measures, especially in those at high risk for this condition. Early intervention could prevent future occurrences of asthma and alleviate the worldwide burden of this chronic respiratory disease.

2. Materials and Methods

2.1. Study Design and Population

The present study was a secondary analysis of data from the Hellenic Healthy Growth Study (HGS) which was a 2-year observational study conducted from May 2007 until June 2009 [26]. The study population included 2332 Greek schoolchildren aged 9-11 years old, 451 with asthma, attending grades five and six of elementary school situated in the district of Athens, Northern Thessaloniki, Aitoloakarnania and Southern Heraklion, Crete. The sampling of municipalities and schools was random, multistage, and stratified according to parental educational level and the total population of preadolescent students. Socio-economic levels (SEL) defined as high, medium, and low were based on data from the Hellenic National Statistical Service of Greece (2001) [27]. Municipalities and schools were selected from these three SEL groups, thus providing a representative sample of the National population. Complete details of the study design and methodologies are available in a previous publication [26].

2.2. Ethical Considerations

The HGS was conducted in accordance with the Declaration of Helsinki. Ethical approval of the study protocol was obtained from the Hellenic Ministry of Education and Human Ethics Committee of Harokopio University, Athens, Greece (Protocol ID 16/19.12.2006). On study enrollment, parents were informed of the study objectives and signed written informed consent.

2.3. Data Collection

The involvement in the HGS study was voluntary. Parents willing to participate were instructed to attend face-to-face interviews scheduled during school hours, or telephone interviews were conducted by rigorously trained researchers. In all schools and districts’, standardized questionnaires were used to collate details on sociodemographic characteristics as well as perinatal and environmental exposures. More specifically, information included mother’s age (years), maternal educational level (primary, secondary, tertiary), children’s age (years), sex and socio-economic level of schools (lower, medium, higher). Perinatal and environmental characteristics comprised of: gestational age (weeks), mode of delivery (Cesarean, normal route), gestational diabetes (Yes, No, I don’t know), weight category for gestational age (appropriate (AGA), small (SGA) or large for gestational age (LGA)), exclusive breastfeeding (Yes/No), pre-pregnancy weight (underweight, normal, overweight, obese), pregnancy weight gain (kg), folic acid intake (trimesters 1-3), maternal smoking during pregnancy (Yes/No), passive smoking during pregnancy (Yes/No), neighborhood has parks and areas for exercise (disagree/agree), and neighborhood has too much traffic (disagree/agree).

2.4. Asthma Status

The presence of asthma in preadolescents was assessed using the International Study on Asthma and Allergy in Childhood (ISAAC) core respiratory questionnaire [28], which assessed asthma prevalence or wheezing in 6-7-year-old children and 13-14-year-old adolescents. For the purpose of this study, a composite variable for ‘asthma’ (yes or no) was created by summing a positive answer of ‘yes’ for these questions.

2.5. Maternal Folic Acid Supplementation

Maternal folic acid supplementation throughout pregnancy was self-reported and assessed through the question, ‘Which trimester of pregnancy did your take folic acid supplements (1st, 2nd, or 3rd)?’

2.6. Statistical Analysis

Statistical analysis was performed using the Statistical Package for Social Sciences (SPSS, version 24.0, Armonk, New York, IBM Corp). Missing data were handled using listwise deletion. Complete-case analysis was conducted, with 2,066 participants retained for multivariable regression models. All analyses were two-tailed, and statistical significance was considered at alpha = 0.05. Continuous variables were assessed if they conformed with the normal distribution using the Kolmogorov-Smirnov test and graphically via the P-P plot. Continuous variables are presented as means ± standard deviation (SD) and as medians, minimum/maximum values, and interquartile range (IQR) in the case of skewness. Group differences were evaluated using an independent t-test for normally distributed variables and by the non-parametric Mann-Whitney and Chi-Square tests, otherwise. Associations between maternal folic acid supplementation (independent variable) and pre-adolescent asthma (dependent) were assessed using logistic regression models stratified by children’s sex, socioeconomic levels, gestational age, infant weight for age and maternal smoking during pregnancy. Adjustments were made for potential perinatal and environmental characteristics based on risk factors for asthma from the literature. Namely, children’s sex, maternal education level, exclusive breastfeeding, passive smoking during pregnancy, pre-pregnancy weight, maternal age, gestational diabetes, pregnancy weight gain, and mode of delivery [29,30,31].
To evaluate potential effect modification, stratified analyses were conducted by child sex, gestational age, weight-for-gestational age, maternal smoking during pregnancy, neighborhood characteristics, and school socioeconomic level. These factors were selected based on previous evidence of their potential to influence asthma risk and observed differences across exposure and outcome groups in our data [32,33,34]. The strength of the effect size is described as odds ratio (OR) and 95% confidence intervals (CI).

3. Results

In this cross-sectional analysis of 2,332 pre-adolescents, those with asthma (n = 451, 19.3%) had a slightly lower mean age (11.10 ± 0.62 years) compared to those without asthma (11.18 ± 0.68 years; p = 0.040). A significantly higher proportion of males (58.3%, n = 263) was observed among pre-adolescents with asthma compared to those without asthma (47.4%, n = 892, p-value<0.001). There was a significant association between school socio-economic level and pre-adolescent asthma status (p= 0.017). A greater proportion of pre-adolescents with asthma was observed at the higher school socio-economic level (46.8%, n = 211) compared to pre-adolescents without asthma (39.5%, n = 743). Whereas lower proportions of pre-adolescents with asthma were observed in lower (29.6%, n = 133) and medium (23.6%, n = 106) school socio-economic levels, compared to those without asthma (lower = 26.5 %, n = 498 and medium = 34%, n = 638. A slightly lower proportion of pre-adolescents with asthma resided in neighborhoods with high traffic (64.5%, n = 236) compared to those without asthma (68.9%, n = 1062, p = 0.042). Furthermore, a higher proportion of pre-adolescents with asthma (29.7%) were born to mothers who were exposed to passive smoking during pregnancy compared to those without asthma (25.1%, p = 0.047). Additionally, a higher percentage of pre-adolescents with asthma were delivered via caesarean section compared to those without asthma (33.7%, n = 152 vs. 27.4%, n = 515, p = 0.008). Although a slightly higher prevalence of asthma was noted among pre-adolescents whose mothers took folic acid during pregnancy, compared to those without asthma, this difference did not reach statistical significance across the first (18.9% vs. 15.3%, p = 0.059), second (25.1% vs. 20.9%, p = 0.054), and third trimester (23.6% vs. 19.6%, p = 0.059). No significant differences in asthma prevalence were observed concerning maternal education level, neighborhood park availability, gestational age, weight-for-gestational age, exclusive breastfeeding, and maternal smoking during pregnancy (p > 0.05 for all) (Table 1).
Regression models showed significant associations between maternal folic acid supplementation during the third-trimester of pregnancy and increased odds of pre-adolescent asthma. More specifically, adjusted odds ratios (aORs) indicated a 32% higher likelihood of asthma with supplementation during the first trimester (aOR = 1.32; 95% CI: 0.99, 1.76; p = 0.063), 30% in the second trimester (aOR=1.30, 95% CI: 0.99, 1.68; p = 0.051), although non-significant, while 34% higher during the third trimester (aOR = 1.34; 95% CI: 1.03, 1.75; p = 0.030). Stratified analyses revealed that these associations were significant among male pre-adolescents for the first- and second-trimester pregnancy supplementation, with the highest odds observed for first-trimester pregnancy supplementation (aOR = 1.57; 95% CI: 1.07, 2.29; p = 0.018). No significant associations were found among females (Table 2).
Table 3 presents the association between maternal folic acid supplementation and pre-adolescent asthma, stratified by perinatal characteristics. Among children born at term (≥37 weeks), folic acid supplementation during pregnancy was not associated was not associated with pre-adolescent asthma. However, in pre-adolescents born prematurely, (<37 weeks), a significant association was observed for third-trimester supplementation (aOR = 1.82; 95% CI: 1.01, 3.27; p = 0.046).​ When stratified by weight-for-gestational age, AGA infants exhibited a significant association between first-trimester folic acid intake and asthma (aOR = 1.41; 95% CI: 1.02, 1.95; p = 0.036). No significant associations were found among SGA or LGA infants across all trimesters.
Table 4 presents the associations between maternal folic acid supplementation during pregnancy and the odds of pre-adolescent asthma, stratified by environmental and external factors. Among non-smoking mothers, second-trimester supplementation was associated with an aOR of 1.44 (95% CI: 1.08, 1.91; p = 0.012), and third-trimester supplementation with an aOR of 1.52 (95% CI: 1.14, 2.02; p = 0.005). No significant associations were observed among mothers who smoked during pregnancy.​ Stratification by school SEL indicated that in the low SEL group, maternal folic acid supplementation throughout pregnancy was associated with pre-adolescent asthma, with the highest odd observed when the supplementation occurred in the third-trimester with an aOR of 2.02 (95% CI: 1.17, 3.49; p = 0.011. No significant associations were found in medium or high SEL groups.​ Regarding neighborhood characteristics, in areas with neighbourhoods reported to have less traffic and more parks, third-trimester supplementation was linked to an aOR of 1.73 (95% CI: 1.07, 2.82; p = 0.026) and an aOR of 1.52 (95%CI: 1.00, 2.30; p = 0.047) respective

4. Discussion

The present study endeavoured to identify perinatal and environmental exposures that contribute to the association of maternal folic acid supplementation during pregnancy and pre-adolescent asthma. Our analysis found that folic acid supplementation during the third trimester was associated with increased odds of asthma in pre-adolescents. Stratified analyses revealed stronger associations among male children, those born preterm, children of non-smoking mothers, those attending schools in low socioeconomic areas, and those living in neighborhoods with less traffic and parks. Additionally, among AGA infants, first-trimester supplementation was significantly associated with increased asthma odds.
Descriptive statistics revealed that, in comparison to healthy pre-adolescents without asthma, those with asthma belonged to the male sex, attended schools of lower socio-economic level, were delivered via caesarean section, and were born to mothers exposed to passive smoking during pregnancy. These features are consistent with data from previous studies [24,25,35,36,37,38]. Clinical and animal studies have demonstrated gender disparities in asthma development [35,36,39], with boys exhibiting higher susceptibility to wheezing and asthma than girls before puberty, after which the prevalence pattern is reversed [35,36].
An outstanding finding of the current study, data analysis revealed that maternal folic acid supplementation during pregnancy, particularly during the third trimester, was associated with increased asthma odds during preadolescence. The perinatal period offers a window of opportunity for the influence of environmental factors (including nutrition) modulated by intrauterine epigenetic programming [40]. This is in line with the Barker theory that environmental events during the first 1000 days of life are pivotal in determining the development of chronic diseases, including allergic disease in later life [41]. Conceptually, fetal plasticity during this critical time of fetal maturation and organ development might explain the association between maternal diet and childhood asthma. In line with the Barker hypothesis, there may be a critical window during the third month trimester when prenatal folic acid exposure predisposes the fetus to an asthma phenotype [41]. Folic acid, a methyl donor and key player in the one-carbon cycle, is pivotal for the synthesis of methionine and S-adenosylmethionine (SAM) which are essential intermediates for DNA methylation, the synthesis of nucleotides, protein (especially methionine) and in regulating homocysteine levels, a cardiovascular risk factor [40,42]. Hollingsworth et al., in a murine model, demonstrated that a methyl-rich diet during pregnancy caused aberrations in DNA methylation at RUNX3 loci [43]. In fact, hypermethylation of RUNX3 loci triggered differentiation of T-cells towards a Th2 phenotype that promoted asthma induction in mice. In addition, increased airway hyperreactivity, higher levels of lung lavage eosinophilia, IL-13, and IgE, characteristic features of asthma pathogenesis, were noted in mice fed a methyl rich diet vs. regular diet. Interestingly, mice exposed to a methyl-rich diet postnatally, during lactation or in adulthood did not induce an asthma phenotype. Emerging research indicates that epigenetic mechanisms such as gene methylation could play an essential role in childhood asthma through the regulation of genes involved in allergic responses [19]. Epigenetic control of IgE and nitric oxide might promote and maintain airway inflammation, creating a background favoring asthma development [44]. More specifically, hypomethylation of interleukin-6 (IL-6) and nitric oxide synthase-2(NOS-2) was associated with increased fractional exhaled oxide (FeNO), forced expiratory volume in 1 second, and wheezing in 8-11-year-olds [44]. Human and invitro studies demonstrate that two microRNAs, specifically miR-155 and miR-221, were associated with T- helper 2 (Th2)-derived cytokine inflammation (IL-13) and cellular elements of the immunological response relevant to asthma including eosinophils, macrophages, and mast cells [45,46,47].
Another important finding in our study was that stratified analyses revealed stronger associations in specific subgroups. The association between first and second trimester folic acid supplementation and pre-adolescent asthma was stronger by approximately 50%, in males, while the association with the third trimester supplementation was stronger by 82% in children born prematurely (< 37 weeks). Prematurity is a well-established risk factor for asthma development. For example, Zhang et al. conducted a cross-sectional analysis of over 90, 000 children (<17 years) using data from the U.S. National Survey of Children’s Health (NSCH) (2011-2012), reporting that children born preterm had 64% higher odds of developing asthma compared to their full-term peers, even after adjusting for sociodemographic and environmental factors [48]. This further underscore the relevance of perinatal exposures in shaping long-term respiratory outcomes in children. In contrast to the present study, studies focused solely on full-term infants, have also demonstrated that maternal folic acid supplementation during pregnancy is associated with increased asthma risk in offspring [24,25], further emphasizing the need to consider both timing and context of exposure.
In addition, AGA infants exhibited a significant association between 1st-trimester folic acid supplementation and asthma by 40% increased odds. Regarding the birthweight for gestational age on asthma risk in childhood, Wang et al. (2022) performed a meta-analysis exploring the impact of birth weight corrected for gestational age on asthma [49]. Data from 12 studies and over 6 million participants revealed that infants SGA and LGA were not associated with increased asthma risk as compared to the non-SGA or appropriate AGA group [49]. Paradoxically, our study found that AGA was associated with increased asthma odds. With respect to mode of delivery, a contemporary meta-analysis of thirty-five cohorts undertaken by Zhong et al., documented that offspring delivered by caesarean section had 18% higher odds of asthma incidence as compared to delivery via normal route [50]
With respect to environmental exposures, associations between folic acid supplementation during the third trimester and pre-adolescent asthma were stronger among non-smoking mothers by 52%, in those attending schools located in lower socioeconomic areas by 102%, and in neighborhoods having less traffic by 73% and parks by 52%. The positive association between folic acid supplementation among preadolescents of non-smoking mothers may reflect epigenetically mediated transgenerational effects [19,41], whereas in smoking mothers, this association might be masked by the overriding effects of tobacco-related exposures [19]. A pooled analysis of eight birth cohort studies (n > 21, 000), reported a 65% increased risk of asthma in preschoolers exposed to maternal smoking [51]. While data from ‘Japan Environment and Children’s Study (JECS)’ (n ≈ 75, 000 mother-child dyads), found a 14% increased risk of asthma with passive smoking and had 34% increased risk with active smoking during pregnancy [37]. These effects may be mediated by epigenetic changes, such as DNA methylation and histone modifications [41,52]. Overall, the findings of this study support the original hypothesis that perinatal and environmental factors modify the association between maternal folic acid supplementation during pregnancy and pre-adolescent asthma and are substantiated by evidence from the literature [48]. These risk factors are representative of the complex interplay between genes and environmental exposures that influence fetal lung development and immunologic responses, thereby leading to asthma in later life [17,19].
More specifically, the positive association between maternal folic acid intake and asthma in preadolescents attending schools in low socioeconomic regions and residing in neighbourhoods with less traffic is possible for a variety of reasons, namely socioeconomic disparities [5,53]. Taken together, conditions of poverty [5], poor housing and living conditions [5], unhealthy diets [54], and limited access to medical and health care centres [16], are some parameters linking asthma in preadolescents belonging to vulnerable families. On the other hand, the finding of increased asthma odds in neighborhoods with parks might be explained by increased exposure to pollen, a common asthma trigger [55].
To sum up, these results are consistent with the theory of perinatal synergistic mechanisms, which suggests that perinatal factors alone have little or no effect on asthma development and confer a slight increase in risk. For this reason, the risk associated with folic acid supplementation during pregnancy may be amplified when it interacts with other perinatal or environmental exposures, rather than acting as an isolated factor.

4.1. Strengths and Limitations

To the best of our knowledge, this is the first study identifying/elucidating perinatal and environmental factors that strengthen the association between maternal folic acid supplementation and asthma in pre-adolescents and specifically in the Hellenic pediatric population. To date, there exists a multitude of studies focusing on the impact of maternal supplementation during pregnancy and neural tube defects in offspring [56]. Hence, this study is important in providing novel insights on respiratory outcomes extending the existing literature beyond neurological disorders and contributing valuable data to the field of pediatric respiratory health.
From a statistical point of view, prior studies have examined the impact of maternal folic acid supplementation in pediatric asthma, adjusting for a few covariates (such as maternal age at delivery, parity, child sex, birth weight, education, and maternal race) [57,58]. We also controlled for a range of potential perinatal and environmental risk factors for asthma collated from research studies [29,30,31]. Thus, minimizing the likelihood of bias in the results and strengthening the validity and credibility of our findings. Another forte is that schools were selected from municipalities located in lower, medium, and higher socio-economic areas; hence our findings could be extrapolated to and representative of the national Hellenic population. However, it is important to acknowledge that women at risk of preterm birth may be more likely to receive supplements. Additionally, we lacked data on family history of asthma, which may have led to residual confounding.
Our study offers three key innovations. First, it tests a novel hypothesis grounded in Barker’s theory of developmental origins of health and disease, specifically, ‘the impact of perinatal and environmental stimuli during intrauterine life on the association of maternal folic acid supplementation and asthma outcome’ [41]. Second, unlike most previous studies targeting asthma during infancy and early childhood [59], our research addresses the understudies transitional period between childhood and adolescence. With the onset of puberty, preadolescence is a critical period of physical, psychological, and social development [60]. Biologically, the surge in female sex hormones during this age primes the background/setting for asthma development in adolescent females and women [35]. Third, rather than assessing supplementation across the entire pregnancy as a single exposure, the study examined its effects during distinct and critical windows of fetal development—namely the first, second, and third trimesters. This approach allows for a more nuanced understanding of the timing-specific influences of folic acid on asthma risk and helps identify potential sensitive periods of susceptibility. Given the well-established critical window for folic acid to prevent neural tube defects—specifically spina bifida—in early gestation (400 µg/day starting ≥1 month before conception through the first 2–3 months)[61], it becomes clinically relevant to evaluate trimester-specific supplementation. By continuing folic acid during early pregnancy and then discontinuing supplementation in later trimesters, one might still confer the protective benefit against neural tube defects, while potentially reducing the asthma risk linked to later-stage folic acid exposure. The analyses by trimester thus support exploring whether a targeted cessation of supplementation after the neurulation period could optimize both neural tube and respiratory outcomes.
On the other hand, this study has certain limitations. A weakness of cross-sectional studies, is the inability to determine a causal inference of maternal folic acid supplementation and pre-adolescent asthma [62]. However, our study is useful in setting the foundations for new hypotheses to be addressed in well-designed longitudinal studies in a variety of settings. A downfall of this study was that folic acid supplementation was assessed qualitatively, and we did not have objective biomarkers on folic acid status or data on the exact quantity of folic acid supplemented to mothers. Another discrepancy, asthma was assessed qualitatively using a questionnaire that is prone to reporting bias [63]. Ideally, spirometry is the gold standard of pulmonary function tests that is accurate in assessing pulmonary mechanics and in diagnosing asthma in children and adolescents [64]. Moreover, the associations reported are modest and often borderline significant and should be interpreted with caution. Alternatively, in parents, a lack of recognizing symptoms as characteristic features of asthma might result in information bias. Finally, a pitfall in this study was that we did not take into account the Tanner stages of sexual maturity [60] as a possible source of confounding, which is worth further exploration.

5. Conclusions

Maternal folic acid supplementation, particularly during the later trimesters, was modestly associated with increased odds of preadolescent asthma, with potential modification by perinatal and environmental factors. While these findings are exploratory, they underscore the need for future research to assess whether the timing of folic acid exposure during pregnancy may differentially influence asthma risk.

Author Contributions

Conceptualization, MB Data curation, GM; Statistical Analysis: MP; Writing—original/final draft, MP, EK; Writing—review & editing, MB, BE, GM, DIV, MA, CA, YM; Visualization, MB, MP Supervision, MB, BE, GM, YM. All authors have read and agreed to the published version of the manuscript.

Funding

The Healthy Growth Study and specifically GM was co-financed by the European Union (European Social Fund – ESF) and Greek national funds through the Operational Program ‘Education and Lifelong Learning’ of the National Strategic Reference Framework (NSRF) – Research Funding Program: Heracleitus II. Investing in knowledge society through the European Social Fund. The funders had no role in the design, analysis or writing of this article.

Institutional Review Board Statement

The HGS was conducted in accordance with the Declaration of Helsinki. Ethical approval of the study protocol was obtained from the Hellenic Ministry of Education and Human Ethics Committee of Harokopio University, Athens, Greece (Protocol ID 16/19.12.2006).

Informed Consent Statement

On study enrollment, parents were informed of the study objectives and signed written informed consent

Data Availability Statement

All data generated or analyzed during this study are included in this published article.

Conflicts of Interest

The authors declarate no conflict of interest.

Abbreviations

The following abbreviations are used in this manuscript:
AGA Appropriate for gestational age
95%CI 95% Confidence Interval
HGS Healthy Growth Study
ISAAC International Study on Asthma and Allergy in Childhood
IQR Interquartile range
LGA Large for gestational age
OR Odds ratio
SGA Small for gestational age
WHO World Health Organization

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Table 1. Characteristics of participants by pre-adolescent asthma status (N = 2,332).
Table 1. Characteristics of participants by pre-adolescent asthma status (N = 2,332).
Characteristics. Pre-adolescent asthma
No n (%) Yes n (%) P-value
Childhood
Age (years), n (Mean ± S.D) 1876 (11.2 ± 0.7) 450 (11.1 ±0.6) 0.040b
Child Sex, n (%) Males 892 (47.4) 263 (58.3) < 0.001a
Females 989 (52.6) 188 (41.7)
Socio-economic Level of School (SEL), n (%) Lower 498 (26.5) 106 (23.6) 0.017a
Medium 638 (34.0) 133 (29.6)
Higher 743 (39.5) 211 (46.8)
Mothers educational level, n (%) Primary 127 (7.4) 24 (5.9) 0.47a
Secondary 845 (49.3) 211 (51.6)
Tertiary 742 (43.3) 174 (42.5)
Maternal age (years)
[Median, (min, max) IQR]
[40 (26, 58) IQR: 32] [40(28, 58) IQR: 30] 0.002c
Environmental
Neighborhood has parks areas for exercise, n (%) Agree 694 (46.6) 175 (48.1) 0.60a
Disagree 797 (53.5) 189 (51.9)
Neighborhood too much traffic, n (%) Agree 1062 (68.9) 236 (64.5) 0.042a
Disagree 456 (31.1) 130 (35.5)
Perinatal
Gestational diabetes n (%) Yes 41(2.2) 17(3.8) 0.047a
No/I don’t know 1836(97.8) 428(96.2)
Mode of delivery, n (%) Normal Birth 1366 (72.6) 299 (66.3) 0.008a
Caesarean 515 (27.4) 152 (33.7)
Gestational age, n (%) < 37 weeks 339 (18.0) 99 (21.9) 0.05a
≥ 37 weeks 1542 (82.0) 352 (78.1)
Weight categories for gestational age, n (%) AGA 1528 (81.2) 347 (76.9) 0.12a
SGA 219 (11.6) 65 (14.4)
LGA 134 (7.1) 39 (6.7)
Exclusive breastfeeding, n (%) Not Exclusive 1724 (91.6) 418 (92.7) 0.47a
Exclusive 157 (8.4) 33 (7.3)
Maternal folic acid intake during pregnancy
Trimester 1, n (%) No 1594 (84.7) 365 (81.1) 0.059a
Yes 287 (15.3) 85 (18.9)
Trimester 2, n (%) No 1487 (79.1) 337 (74.9) 0.054a
Yes 394 (20.9) 113 (25.1)
Trimester 3, n (%) No 1513 (80.4) 344 (76.4) 0.059a
Yes 368 (19.6) 106 (23.6)
Mother smoking during pregnancy No 1578 (83.9) 381 (84.5) 0.76a
Yes 303 (16.1) 70 (15.5)
Passive smoking during pregnancy, n (%) No 1408 (74.9) 317 (70.3) 0.047a
Yes 473 (25.1) 134 (29.7)
Bold text: statistically significant at 0.05. P-value estimated using Chi-square test, bIndependent Sample t-test. c Mann-Whitney U test. Key: SGA: small for gestational age, AGA: Appropriate for gestational age, LGA: large for gestational age; Min: Minimum, Max: Maximum, IQR: Interquartile range.
Table 2. Association Between Maternal Folic Acid Supplementation During Pregnancy and Pre-Adolescent Asthma, Overall and Stratified by Child's Sex.
Table 2. Association Between Maternal Folic Acid Supplementation During Pregnancy and Pre-Adolescent Asthma, Overall and Stratified by Child's Sex.
Maternal Folic acid Intake (Yes). Pre-adolescent asthma
n cOR (95%CI), P-value n aOR (95%CI), Padj*
1ST Trimester 372 1.29(0.99, 1.69), 0.059 322 1.32(0.99, 1.76), p=0.063
2nd Trimester 507 1.27(0.99, 1.61), 0.055 445 1.30(0.99, 1.68), p=0.051
3rd Trimester 474 1.27(0.99, 1.62), 0.059 411 1.34(1.03, 1.75), p=0.030
Stratified analysis by child sex
cOR (95%CI), P-value aOR (95%CI), Padj*
Strata n Male Female Male Female
1ST Trimester 2066 1.42(1.00, 2.01), 0.050 1.11(0.73, 1.70), 0.62 1.57(1.07, 2.29), 0.018 1.00(0.62, 1.61), 0.99
2nd Trimester 2066 1.36(0.99, 1.86), 0.053 1.09(0,74, 1.59), 0.67 1.50(1.07, 2.11), 0.018 1.01(0.66, 1.54), 0.96
3rd Trimester 2066 1.29(0.93, 1.77), 0.12 1.18(0.80, 1.73), 0.41 1.36(0.96, 1.93) 0.09 1.27(0.84, 1.93), 0.26
Bold text: statistically significant at 0.05; Key: cOR: Crude odds ratio; CI: Confidence interval; aOR: Adjusted odds ratio. Reference group 0= No asthma. *Padj: P-value estimated from the regression model adjusted for children’s sex, maternal education level, breastfeeding exclusive, passive smoking during pregnancy, pre-pregnancy weight, maternal age, gestational diabetes, pregnancy weight gain, and mode of delivery.
Table 3. Association Between Maternal Folic Acid Supplementation During Pregnancy and Pre-Adolescent Asthma, Stratified by Perinatal Characteristics.
Table 3. Association Between Maternal Folic Acid Supplementation During Pregnancy and Pre-Adolescent Asthma, Stratified by Perinatal Characteristics.
. Pre-adolescent Asthma
cOR (95%CI), P-value aOR (95%CI), Padj*
By Gestational age
Maternal Folic acid Intake (Yes) n Gestational Age < 37 weeks Gestational Age ≥ 37 weeks Gestational Age < 37 weeks Gestational Age ≥ 37 weeks
1st Trimester 2066 1.25(0.69, 2.27), 0.45 1.31(0.97,1.76), 0.08 1.46(0.77, 2.77), 0.25 1.29(0.94, 1,80), 0.12
2nd Trimester 2066 1.12(0.65, 1.92), 0.69 1.31(1.00, 1.71), 0.048 1.25(0.69, 2.25), 0.45 1.33(0.99, 1.77), 0.058
3rd Trimester 2066 1.44(0.83, 2.47), 0.19 1.24(0.94,1.63), 0.13 1.82(1.01, 3.27), 0.046 1.28(0.95, 1.73), 0.11
By weight for age
cOR (95%CI), P-value aOR (95%CI), Padj*
Maternal Folic acid Intake (Yes) n Weight for age =AGA Weight for age =SGA Weight for age =LGA Weight for age=AGA Weight for age = SGA Weight for age=LGA
1st Trimester 2066 1.39(1.03, 1.88), 0.029 0.87(0.40, 185), 0.71 1.21(0.44, 3.30), 0.71 1.41(1.02, 1.95), 0.036 1.02(0.45, 2.34), 0.96 0.85(0.24, 2.99), 0.80
2nd Trimester 2066 1.24(0.94, 1.63), 0.12 1.14(0.61, 2.13), 0.68 1.81(0.77, 4.27), 0.17 1.24(0.92, 1.68), 0.15 1.41(0.72, 2.76), 0.32 1.84(0.65, 5.20), 0.25
3rd Trimester 2066 1.20(0.90, 1.59), 0.21 1.36(0.73, 2.53), 0.33 1.72(0.74, 4.03), 0.21 1.24(0.92, 1.69), 0.16 1.76(0.90, 3.42), 0.09 1.37(0.47, 3.95), 0.56
Bold text: statistically significant at 0.05. Reference group 0 = No asthma. *Padj: P-value estimated from the regression model adjusted for maternal education level, breastfeeding exclusive, passive smoking during pregnancy, pre-pregnancy weight, maternal age, gestational diabetes, pregnancy weight gain, and mode of delivery. Key: CI: Confidence interval; aOR: Adjusted odds ratio, SGA: Small for gestational age, AGA: Appropriate for gestational age, LGA: Large for gestational age.
Table 4. Association Between Maternal Folic Acid Supplementation During Pregnancy and Pre-Adolescent Asthma, Stratified by Environmental and External Factors.
Table 4. Association Between Maternal Folic Acid Supplementation During Pregnancy and Pre-Adolescent Asthma, Stratified by Environmental and External Factors.
. Pre-adolescent Asthma
cOR (95%CI), P-value aOR (95%CI), Padj*
Maternal smoking
Maternal Folic acid Intake (Yes) n Maternal Smoking = No
Maternal smoking = Yes Maternal Smoking = No Maternal Smoking = Yes
1st Trimester 2066 1.31(0.97, 1.75), 0.073 1.23(0.64, 2.39), 0.53 1.37(1.00, 1.88), 0.050 1.12(0.52, 2.40), 0.77
2nd Trimester 2066 1.35(1.04, 1.75), 0.025 0.92(0.51, 1.69), 0.80 1.44(1.08, 1.91), 0.012 0.80(0.40, 1.57), 0.51
3rd Trimester 2066 1.36(1.03, 1.77), 0.027 0.91(0.48, 1.70), 0.76 1.52(1.14, 2.02), 0.005 0.80(0.40, 1.61), 0.53
School economic level
cOR (95%CI), P-value aOR (95%CI), Padj*
Maternal Folic acid Intake (Yes) n SEL = Low SEL= Medium SEL = High SEL = Low SEL = Medium SEL = High
1st Trimester 2066 1.84(1.05, 3.21), 0.034 1.02(0.61, 1.70), 0.95 1.23(0.84, 1.80), 0.29 1.94 (1.07, 3.55), 0.030 1.03(0.59, 1.81), 0.92 1.26 (0.83, 1.93), 0.27
2nd Trimester 2066 1.68(1.03,2.77), 0.039 1.10(0.70, 1.72), 0.69 1.17(0.83,1.66), 0.37 1.87 (1.10, 3.19), 0.021 1.11(0.68, 1.83), 0.67 1.17(0.80, 1.71), 0.42
3rd Trimester 2066 1.73(1.04,2.85), 0.034 1.01(0.64, 1.61), 0.95 1.22(0.86,1.75), 0.27 2.02 (1.17, 3.49), 0.011 1.10(0.66, 1.82), 0.72 1.29(0.88, 1.91), 0.19
Neighborhood parks
Maternal Folic acid Intake (Yes) n Neighborhood parks = Agree Neighborhood parks = Disagree Neighborhood parks = Agree Neighborhood parks = Disagree
cOR (95%CI), P-value aOR (95%CI), Padj*
1st Trimester 1664 1.15(0.75, 1.77), 0.511 1.61(1.08, 2.40), 0.020 1.21(0.76, 1.93), 0.413 1.60(1.04, 2.49), 0.034
2nd Trimester 1664 1.41(0.97, 2.05), 0.069 1.18(0.82, 1.72), 0.369 1.41(0.94, 2.12), 0.098 1.24(0.84, 1.85), 0.282
3rd Trimester 1664 1.52(1.04, 2.23), 0.031 1.09(0.74, 1.59), 0.673 1.52(1.00, 2.30), 0.047 1.18(0.78, 1.79), 0.422
Neighborhood traffic
Maternal Folic acid Intake (Yes) n Neighborhood traffic = Agree Neighborhood traffic = Disagree Neighborhood traffic = Agree Neighborhood traffic = Disagree
cOR (95%CI), P-value aOR (95%CI), Padj*
1st Trimester 1694 1.28(0.89, 1.84), 0.187 1.57(0.96, 2.56), 0.073 1.32(0.89, 1.98), 0.172 1.55(0.92, 2.63), 0.103
2nd Trimester 1694 1.31(0.95, 1.81), 0.103 1.63(1.05, 2.52), 0.029 1.39(0.97, 1.98), 0.069 1.52(0.95,2.45), 0.081
3rd Trimester 1694 1.28(0.92, 1.79), 0.143 1.74(1.11, 2.72), 0.016 1.37(0.96, 1.97), 0.086 1.73(1.07, 2.82), 0.026
Bold text: statistically significant at 0.05. Reference group 0= No asthma. *Padj: P-value estimated from the regression model adjusted for maternal education level, breastfeeding exclusive and passive smoking during pregnancy, pre-pregnancy weight, maternal age, gestational diabetes, pregnancy weight gain and mode of delivery. Key: SEL: School economic level, cOR: Crude odds ratio, aOR: Adjusted odds ratio, CI: Confidence interval.
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