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Effect of maternal sleep, physical activity and screen time during pregnancy on the risk of childhood respiratory allergies: a sex-specific study

Abstract

Background

Early life exposure in the uterus had a long-term effect on children’s health. As the prevalence of allergies is increasing with a remarkable sex difference, very few studies have traced back to their early origins. We sought to investigate if maternal behavioral exposure, herein sleep, physical activity, and screen time during pregnancy is associated with childhood respiratory allergies. The sex difference would be examined.

Methods

Six thousand two hundred thirty-six mother-child pairs from Shanghai Children Allergy Study (SCAS) were enrolled, The International Study of Asthma and Allergies in Childhood questionnaire was adopted to evaluate respiratory allergic diseases.

Results

14.6, 16.2, and 21.0% of children had asthma, wheeze, and allergic rhinitis, respectively. Maternal short sleep duration, lack of physical activity, and too much screen exposure during pregnancy could increase the risk of childhood respiratory allergies, however, the significance was found only in males. Moreover, a dose-response trend was clearly shown, any two of the three combined could increase the risk (OR,1.921; 95% CI,1.217–3.033), and the coexistence of all three further amplified the risk (OR,2.412; 95% CI,1.489–3.906). The findings can be verified in allergen test subgroup and each single type of respiratory allergies in most cases.

Conclusions

Maternal unhealthy behaviors during pregnancy could increase the risk of childhood respiratory allergies with a dose-response pattern. Males were more susceptible to the association. The identification of modifiable maternal risk behaviors lies in the emphasis of intervention in early life to face up increasing childhood allergies.

Introduction

The prevalence of childhood allergic diseases continues to rise with the development of economy and urbanization all around the world. China has the largest population in the world, and quantities of rural people flooded into cities with the acceleration of urbanization since 1980s [1, 2]. Shanghai is one of the fastest urbanizing cities in China, where the prevalence of childhood asthma increased almost fivefold from 1990 to 2011 [3]. Data from a national survey covering 10 cities across China demonstrated that childhood allergic diseases, except for wheezing, were most prevalent in Shanghai [4]. Although numerous potential environmental risk factors have been proposed, it is still far away to explain the rapid rise. It has been a general recognition that early-life in utero is a special period for imprinting, programming and the establishment of epigenome [5]. Accumulating studies were providing evidence that early life exposure has not only short term effects on fetal growth but also long-term impacts on individual’s health and disease susceptibility in later life [5].

To date, there are several shreds of evidence suggesting that early life exposure during pregnancy may be implicated in the development of the immune system. Rodent model has long shown that air pollution exposure during pregnancy increased the susceptibility of neonates to allergic asthma [6]. A meta-analysis on epidemiology evidence similarly suggested that prenatal exposures to NO2, SO2, and PM10 increased the risk of wheezing and asthma in childhood [7]. Besides, the association between prenatal nutritional exposures and childhood allergies were also proposed in the last two decades [8]. Meanwhile, a few studies reported that maternal behavior choice was involved in childhood allergies [8, 9]. Early in 1998, Boston conducted a prospective birth cohort study in 505 mother-infant pairs, revealing that maternal smoking during pregnancy could increase the risk of childhood wheezing in the first year of life [9]. A newly published cross-sectional study also reported that maternal smoking was associated with a higher risk of asthma in their offspring [10]. However, data on maternal lifestyle such as sleeping and physical activity are largely lacking. With rapid modernization, sleep duration, physical activity, and screen using are indeed lifestyle choices people face every day. It has been a growing concern that unhealthy and sedentary lifestyle, including chronic sleep loss, inactivity, and excessive screen exposure, is quite common [11]. A national school-based health survey in Greece revealed that physical activity during pregnancy was significantly associated with childhood obesity [12]. A prospective study found that sleep difficulties during pregnancy affected the social development of their offspring when they were 1 year old [13]. However, none of the studies have investigated whether maternal lifestyle factors during pregnancy had an impact on childhood allergies.

Sex dimorphism has long been known to childhood allergies [3, 14], but the sex difference by the same risk exposure has rarely been studied. The genetic background has considered being a risk factor for allergies [15]. Therefore, attention to sex differences, taking familial heredity into account, would help us deeply understand the childhood allergy, which should be the basis of personalized allergy intervention.

A citywide study was conducted in Shanghai to explore the association of maternal lifestyle factors, including sleep duration, daily physical activity, and screen exposure, with the risk of respiratory allergies in their offspring. Specifically, sex differences will be a focus.

Methods

Study participants and ethics statement

Shanghai Children Allergy Study (SCAS) is an ongoing study, aiming to explore the epidemic characteristics of childhood allergies and to formulate the intervention strategy for children allergy in Shanghai. The study was sponsored by the Shanghai Education Commission. We collaborate with Shanghai Children’s Medical Center to carry out the project research. This cross-sectional baseline study was conducted during April–June 2019, using a multi-stage and multi-strata sampling approach. Among the total 9 urban areas and 8 suburban/rural areas in Shanghai, 4 urban areas (Xuhui, Putuo, Yangpu, and Pudong New Area) and 4 suburban/rural areas (Minhang, Jinshan, Qingpu, and Chongming) were randomly sampled. In all sampled areas, 31 kindergartens were randomly selected. The investigation purpose was explained ahead to the principals and teachers. To obtain parental permission, the purpose was conveyed to parents through parents’ meetings, in which voluntary and anonymous participation was stressed. The informed consent form was then obtained from parents. Each child’s mother completed the questionnaire on behalf of herself and her child.

Overall, 6389 children were recruited to participate in this baseline survey. Among them, 6237 (97.62%) completed the questionnaires. After the exclusion of 1 missing data on allergic diseases, the valid sample of this study consisted of 6236 mother-children pairs (defined as All Population Group).

The ethical application and the consent procedure of this study were approved by the Ethics Committee of Shanghai Jiao Tong University School of Medicine.

Maternal behavioral variables

A brief Maternal Lifestyle Questionnaire (MLQ) was applied to evaluate maternal lifestyles during pregnancy based on the literature reviewed [16,17,18]. Daily behavioral choice during pregnancy included the duration of sleep per day, the frequency of physical activity (never/occasionally, 1-3 h./week, 3-6 h./week, ≥1 h./day), and the frequency of phone/computer/television exposure (< 2 h./day, 2-4 h./day, 4-8 h./day, ≥8 h./day) on average. The optimal duration of sleep for the pregnant woman is not yet known, the cutoff for short sleep duration was defined as less than 8 h/day in this study with the reference of most studies [18, 19]. Meanwhile, 8 h/day was close to the 25th percentile of the distribution of total sleep duration during pregnancy in our dataset. The frequency of daily physical activity was classified into two groups: < 1 h./day vs. ≥1 h./day; and screen exposure was also classified into two groups: ≥2 h./day vs. < 2 h./day.

Ascertainment of allergic diseases

The International Study of Asthma and Allergies in Childhood (ISAAC) questionnaire was applied to detect respiratory allergies [20, 21]. The Cronbach’s alpha coefficient of the ISAAC allergic questionnaire in our sampled children was 0.91. The intra-class correlation coefficient of retest reliability at intervals of 2 weeks was 0.94. Validity presented by Kaiser-Meyer-Olkin (KMO) was 0.94 and the high validity among preschool children has been confirmed [22]. All questions were answered by yes or no. For the assessment of asthma, the question was asked: “Has your child ever been diagnosed with asthma?”. We further assessed the current wheezing by questions: “Has your child had any wheezing, or breathing difficulties in the last 12 months?” or “Has your child ever experienced wheezing or whistling in the chest in the last 12 months?”. Two questions were utilized for allergic rhinitis diagnosis: “Has your child ever been diagnosed with allergic rhinitis?” and “Has your child ever sneezing, runny nose, stuffy, itchy or itchy eyes in the last 12 months not due to having a cold or flu?”. Children were screened out one of above three types of respiratory allergies were considered to be Screened Positive (SP).

In addition to using the ISAAC questionnaire to screen respiratory allergies, we further collected information on allergen tests. Of those who took part in the allergen test through skin prick test (SPT), immunoglobulin E (IgE) and the others, we further asked the children about more detailed information regarding results from allergen test: “Did the allergen test is positive, if so, which of the following allergens?” Common environmental allergens were listed, including dust mite, mold, pollen, mugwort, ragweed, cat/dog hair. Among children with screened respiratory allergies positive, those who tested positive for any of inhaled allergens were further regarded as Screened and Test Positive (STP), and those were screened negative and never went through any allergen test were set as reference group. Eventually, a total of 3877 participants were in the Allergen Test Subgroup.

Confounding variables

Demographic characteristics

Demographic characteristics included age and childhood overweight/obesity (yes/no), child’s sleep duration on weekdays (< 10 h./day, ≥10 h./day), child’s sleep duration on weekends (< 10 h./day, ≥10 h./day), child’s exercise frequency (< 1 h./day, ≥1 h./day), child’s screen exposure frequency (< 5 times./week, ≥5 times./week). BMI (body mass index) for age and sex-specific percentile over 85% was implemented to define the overweight/obesity [23]. Family background contained household incomes (< 4000, 4000–8000, > 8000), family structures (single parent family, nuclear family, extended family), both mother and father’s educational levels (primary education, secondary education, college and above), and first-degree relative with allergies (yes/no).

Obstetric characteristics and health status of parents

Obstetric characteristics included gestational weeks (premature delivery, post-delivery, and term delivery), delivery modes (cesarean delivery, vaginal delivery/midwifery), and full breastfeeding over 6 months (yes/no). Health status of parents contained maternal smoking exposure status (yes/no), maternal drinking habits (yes/no), gestational hypertension (yes/no), gestational diabetes (yes/no), gestational anemia (yes/no), maternal pre-pregnancy overweight/obesity (yes/no), mother’s age at delivery (≥30, 25–29, ≤24). Those pre-pregnancy maternal body mass index above 25 (including 25) was defined as maternal pre-pregnancy overweight/obesity [24].

Environmental exposure

Four questions on the environmental conditions, asking whether there were farms or other sources of pollution within a five-minute walk from home, including farmlands and orchards (yes/no), chemical emission sources (yes/no), smog-emitting factories (yes/no), large garbage dumps (yes/no).

Statistical analysis

Statistical descriptions were made utilizing the percentage for categorical variables. The univariate logistic regression was applied to compare differences between groups.

Univariate logistic regression was implemented to calculate the unadjusted odds ratios (OR) and 95% confidence intervals (CI), thus evaluating the relationship between maternal behavioral characteristics and allergic diseases. In All Population Group, ‘1’ for children with screened allergies positive and ‘0’ for children screened allergies negative. In Allergen Test Subgroup, children with both positive in allergen tests and screened respiratory allergies were defined as ‘1’, and who had neither been screened with any allergy nor took part in allergen tests were defined as ‘0’. Adjustments of confounding factors were made by the multivariate regression models followed by a two-step procedure: Model I only adjusted for demographic characteristics; in Model II, obstetric characteristics and health status of parents were further adjusted.

All other analyses were performed with the Statistical Package for the Social Sciences (SPSS) (IBM-SPSS Statistics version 23.0, Inc., Chicago, IL). The statistical significance level was set at p-value <.05 (two-sided).

Results

Descriptive analysis

The study sample included 6236 children (3289 males vs. 2947 females), aged 5.16 years (SD = 0.88, ranging from 2.02 to 6.99 years old). 14.6, 16.2, and 21.0% of children had asthma, wheeze, and allergic rhinitis, respectively. The demographic characteristics of the 3877 participants who took the allergen test were similar to those of 6236 (Table 1). Among allergic children, there is no sex difference in maternal exposure to unhealthy behaviors (Table 2). Figure 1 plots the prevalence of asthma, wheeze, and allergic rhinitis with increasing age by different sex. It can be seen that, compared to females, males are more susceptible to all three respiratory allergies.

Table 1 Sample characteristics, stratified by gender
Table 2 Maternal behavioral characteristics among children with respiratory allergies, stratified by gender
Fig. 1
figure1

Age and sex-specific prevalence of childhood respiratory allergies Solid lines represent males, dotted lines represent females

Maternal behavioral exposure during pregnancy and childhood allergic diseases

Individual associations

In Table 3, we performed a sex-stratified analysis and found that maternal short sleep duration, lack of physical activity, and too much screen exposure during pregnancy were associated with an increased risk of childhood respiratory allergies. When the analyses were repeated in Allergen Test Subgroup, very similar results were obtained. However, a significant sex difference was identified, all the above associations were mainly observed in males. Through a two-step adjustment for possible confounding factors, the results were generally kept in most cases. In the final adjusted model (Model II), maternal short sleep duration (OR,1.317; 95% CI:1.102–1.573) and lack of physical activity (OR,1.311; 95% CI:1.066–1.612) were found to be an independent predictor for childhood allergies, however, only in the All Population Group; Among females, by contrast to males, only sleep duration (OR,1.238; 95% CI:1.025–1.495) and screen exposure (OR, 1.421; 95% CI: 1.151–1.754) were shown to be associated with childhood respiratory allergies in the crude model. However, after accounting for confounding factors, the associations were not shown anymore.

Table 3 Association of maternal behavioral factors during pregnancy with childhood respiratory allergies

The analysis was also repeated in each single type of respiratory allergic disease, and similar results were obtained (Table S1). After further considering family history in the first-degree relative, the results were generally repeatable in most cases, however, it seemed that the associations were stronger in those children without an allergic family history (Table S2).

Combined associations

Table 4 demonstrated the combined associations of three maternal behavioral factors with childhood respiratory allergies with sex as a stratified factor. Children’s risk of respiratory allergies increased with an increase in unhealthy maternal lifestyles during pregnancy. Very similar results were found when the analysis was replicated in the Allergen Test Subgroup. Similar to the individual association, the sex difference of the combination association was significant. After a two-step adjustment, the risk remained mostly in males. In the final adjusted model (Model II), one of the three factors occurred can result in a higher risk of childhood respiratory allergies only in All Population Group (OR,1.645; 95% CI:1.029–2.630); when two of these lifestyles were involved, the significant results were found in All Population Group (OR,1.921; 95% CI:1.217–3.033); as referring to the combination of three unhealthy behavioral factors, the risk further amplified in both All Population Group (OR,2.412; 95% CI:1.489–3.906) and Allergen Test Subgroup (OR,2.217; 95% CI:1.018–4.827). When it came to females, the risk of allergies increased only when two or more of the maternal unhealthy lifestyles concentrated together in the crude model. However, after controlling for confounding factors, no association was revealed. Figure 2 demonstrates the combined association of maternal lifestyle with asthma, wheeze, and allergic rhinitis, respectively.

Table 4 Combined association of maternal behavioral factors during pregnancy with childhood respiratory allergies
Fig. 2
figure2

Combined association of maternal behavioral factors and childhood respiratory allergies. AR, allergic rhinitis. Solid lines represent males, dotted lines represent female. Maternal behavioral factors including sleep less than 8 h/day, physical activity less than 1 h/day, screen time more than 2 h/day. “0” demonstrated that none of three risk factors were occurred. “1” demonstrated that one of these three risk factors were occurred. “2” demonstrated that two of these three risk factors were occurred. “3” demonstrated that these three risk factors were all occurred. Controlled for child’s age, childhood overweight/obesity, child’s sleep duration on weekdays, child’s sleep duration on weekends, child’s exercise frequency, children’s screen exposure frequency, family income, family structure, mother’s education, father’s education, family history of allergic diseases, gestational weeks, delivery mode, full breastfeeding, maternal smoking exposure, maternal drinking, gestational hypertension, gestational diabetes, gestational anemia, pre-pregnancy overweight/obesity, mother’s age at delivery, farmlands and orchards near house, chemical discharging near house, smog-emitting factories near house, large garbage dump near house

Similar results were observed when the analysis was repeated in a single type of respiratory allergic disease (Table S3).

Discussion

This is the first study exploring the associations of maternal lifestyle choice during pregnancy with the risk of childhood respiratory allergic diseases. Our findings demonstrated that all of the three unhealthy maternal lifestyles, including short sleep duration, lack of physical activity and too much screen exposure, were independent risk predictors. Also of concern was significant dose-response trend, the more concentrations of maternal unhealthy lifestyles during pregnancy, the greater risk of respiratory allergies in their children. Moreover, significant sex difference was identified that males were more susceptible to the adverse effects. The results, in most cases, can be verified in the Allergen Test Subgroup and the single type of disease, which further enforced the evidence. The present study drew the attention on the association of maternal behavior exposure with immune development and allergic disease susceptibility in their offspring, in which sex difference should be taken into consideration.

The rapid increase in childhood allergic disease may be related to rapid economic growth or modernization [3]. In developed countries, the prevalence of childhood allergic respiratory symptoms appears to have peaked and stabilized [25]. China, as a developing country, is rapidly urbanizing and the prevalence of childhood respiratory allergies is now on the rise, especially in fast-growing cities such as Shanghai [3]. Allergic diseases was usually higher prevalent in urban area than in rural areas within a geographical region [26], though there existing some inconsistent results [27]. Urbanization is accompanied by a modern style of life, electronic screen exposure is more frequent, sedentary time is increasing while sleeping time is decreasing [11], and it has been proved that pregnant women spend at least half their time on sedentary behaviors [28].

Our results provided new evidence to the hypothesis that a mother’s lifestyle choice during pregnancy could affects offspring’s long-term health, herein childhood respiratory allergies. Previous studies exploring the effect of lifestyle during pregnancy on the long-term health of children largely focused on the neurological and behavioral development [29,30,31,32]. A rodent model found that maternal lack of sleep in the third trimester can impair autonomic responses in male offspring with a long-term effect [29]. Cohort data among 83,884 mother-child pairs from five countries revealed that maternal cellphone use during pregnancy increased the risk of hyperactivity in their offspring [30]. Another two prospective studies found that adequate physical activity during pregnancy could promote language development in children [31, 32]. This study, for the first time, focused on maternal lifestyle choice and the susceptibility of childhood allergic disease. Besides, most of the previous studies only assessed one aspect of maternal lifestyles, and their combined effects have never been studied. In our study, a clear dose-response relationship was established, the more exposures to maternal unhealthy lifestyles during pregnancy, the higher risk of childhood respiratory allergies.

Early life exposure in utero can affect the fetal airway and lung development, as well as immune function [33]. As suggested by previous studies, maternal smoking, unqualified diet, vitamin D deficiency and exposure to air pollution should be potential risk factors [7, 34,35,36,37]. A retrospective follow-up study was conducted among 1201 Los Angeles women between 3 and 6 months after delivery, where it was shown that children whose mothers ate more fast food during pregnancy had an increased risk of asthma [34]. Although there existed different conclusions [35, 36], a more recent meta-analysis revealed that maternal prenatal vitamin D supplementation was associated with a lower risk of allergic diseases in children [37]. Compared to these studies, we focused on daily lifestyle choices, including sleep duration, physical activity, and screen using, and established the relationship between them and the risk of childhood respiratory allergies with a dose-response pattern. As far as we know, to date, this is the only population-based study establishing the associations. To test the association, the analysis was further applied in subgroup whose allergen test was positive, and the similar results further enforced the evidence that maternal daily lifestyle choices are involved in childhood susceptibility to respiratory allergic diseases.

Although this is the first epidemiological study to explore the relationship between maternal lifestyle choice and offspring allergies, several potential explanations were in biological mechanisms to support the relationship. Several studies have demonstrated that early-life adverse exposure in utero can block the production of the immune response of fetal cytokines to Th1 type and affect the programming of fetal immune function [33, 38, 39]. Besides, increased stress and inflammatory response were put forward to explain the pathway. Sleep deprivation may lead to oxidative stress and inflammation, thus affecting early embryonic development [40]; while regular exercise can effectively buffer stress and prevent inflammation-related diseases through the mother-fetus connection [41]. Moreover, prenatal unhealthy behavioral exposure may also affect the microbiota of pregnant women, thereby transferring maternal bacteria to the fetus [42]. The imbalance of intestinal flora in infancy may lead to the deviation of immune function and allergic reactions [43].

It was impressed that respiratory allergies were mainly prevalent in males when their mothers were exposed to adverse lifestyle behaviors during pregnancy. After adjusting for socioeconomic factors, it turned out that the significance of maternal lifestyle in relation to childhood allergic diseases disappeared in females. This demonstrated that socio-economic factors did have an impact on the health effects of mothers on their offspring and that there were sex differences in these health effects. In a rat model, maternal high-fat diet during pregnancy was associated with neonatal cardiac dysfunction, reduced respiratory capacity and oxidative stress only in male offspring, indicating that adverse prenatal exposures impaired dynamism with sex-divergent characteristic [38]. A previous longitudinal study in the US also examined the sex-specific relationship between prenatal risk factors and offspring’s asthma outcomes, and the significant result was observed also only in males [44]. It has been recognized that male and female possessed different immune responses, especially in T-helper cells [39]. In referring to genetics, this pattern of inheritance may be linked to an X-linked gene, which is more likely to be exposed in boys with only one X-chromosome [45]. For example, IL-9 has impact on the development of the allergic disease by taking function in enhancing the synthesis of IgE and maturation of mast cell [46]. The IL-9 receptor gene, situated within the pseudoautosomal region of X and Y chromosomes, escaped X inactivation and its Y allele was also expressed [46, 47]. Another pro-inflammatory cytokine, IL-1β, is also been suspected of involvement in the pathogenesis of sex-specific allergic diseases in adult male asthma patients [48]. And the IL-1 family of molecules is among candidate genes of allergic susceptibility [49]. Sex hormones may also play a part, which respiratory genes could involve in the production of sex hormones [15]. Estrogen, the primary female sex hormone, has been regarded as an immune-stimulating factor [15]. While testosterone, as male sex hormones, tends to have immunosuppressive effects [15]. Nevertheless, the association was observed primarily in preschool children, suggesting that hormonal factors may not well explain the observed sex differences. Currently, the exact mechanism underlying has not been elucidated yet. Our results indicate the need for future studies to explore the association between prenatal factors and childhood asthma with consideration of possible sex-specific pathway.

This study has several limitations. First, information on maternal behavioral exposure was obtained from questionnaires, and thus the recall bias was inevitable. However, due to pregnancy was a special period, and China’s one-child policy in the past decades, the recall bias can be minimal. Second, a cross-sectional study was poor in determining causal links. However, the dependent variables and the outcome variables we analyzed were mothers’ lifestyles during pregnancy and their children’s respiratory allergies respectively, which had a time sequence, thus revealing a certain causal relationship. Third, allergic diseases were not diagnosed by professionals. However, the international standard ISAAC questionnaire was applied worldwide with quite good reliability and validity [22]. In addition, children with positive allergen tests were analyzed as a subgroup, which further verified our findings. Finally, even though many confounding factors were taken into account, residual confounding may remain. And environmental variables were obtained by questions, the field sampling data was unavailable. However, given that the results were broadly consistent across all the respiratory allergies in this study, the evidence for the link between maternal behavioral exposure and childhood allergic disease appeared to be robust.

Conclusion

This study is the first to emphasize the association between maternal unhealthy behaviors such as lack of sleep, physical inactivity, and prolonged use of electronic devices during pregnancy and the risk of childhood allergies in a sex-specific manner. In particular, there appeared to have a clear dose-response relationship, the more unhealthy maternal behaviors, the greater risk of childhood respiratory allergies. However, this risk mainly affects males. Our findings should be of interventional significance in early-life since maternal lifestyle behaviors are modifiable.

Availability of data and materials

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.

Abbreviations

SCAS:

Shanghai Children Allergy Study

MLQ:

Maternal Life-style Questionnaire

ISAAC:

International Study of Asthma and Allergies in Childhood

KMO:

Kaiser-Meyer-Olkin

SP:

Screened Positive

SPT:

Skin prick test

IgE:

Immunoglobulin E

STP:

Screened and Test Positive

OR:

Odds Ratios

CI:

Confidence Intervals

SPSS:

Statistical Package for the Social Sciences

References

  1. 1.

    Radhakrishnan DK, Dell SD, Guttmann A, et al. Trends in the age of diagnosis of childhood asthma. J Allergy Clin Immunol. 2014;134(5):1057–62 e5.

    PubMed  Google Scholar 

  2. 2.

    Gatford KL, Wooldridge AL, Kind KL, et al. Pre-birth origins of allergy and asthma. J Reprod Immunol. 2017;123:88–93.

    CAS  PubMed  Google Scholar 

  3. 3.

    Huang C, Liu W, Hu Y, et al. Updated prevalences of asthma, allergy, and airway symptoms, and a systematic review of trends over time for childhood asthma in Shanghai, China. PLoS One. 2015;10(4):e0121577.

    PubMed  PubMed Central  Google Scholar 

  4. 4.

    Zhang YPLBZ, Huang C. investigation of asthma and other allergic diseases in children in 10 cities of China. Chin Sci Bull. 2013;58(25):2504–12.

    Google Scholar 

  5. 5.

    Barker DJ, Osmond C. Infant mortality, childhood nutrition, and ischaemic heart disease in England and Wales. Lancet. 1986;1(8489):1077–81.

    CAS  PubMed  Google Scholar 

  6. 6.

    Hamada K, Suzaki Y, Leme A, et al. Exposure of pregnant mice to an air pollutant aerosol increases asthma susceptibility in offspring. J Toxicol Environ Health A. 2007;70(8):688–95.

    CAS  PubMed  Google Scholar 

  7. 7.

    Hehua Z, Qing C, Shanyan G, et al. The impact of prenatal exposure to air pollution on childhood wheezing and asthma: a systematic review. Environ Res. 2017;159:519–30.

    PubMed  Google Scholar 

  8. 8.

    Zhang GQ, Liu B, Li J, et al. Fish intake during pregnancy or infancy and allergic outcomes in children: a systematic review and meta-analysis. Pediatr Allergy Immunol. 2017;28(2):152–61.

    PubMed  Google Scholar 

  9. 9.

    Gold DR, Burge HA, Carey V, et al. Predictors of repeated wheeze in the first year of life: the relative roles of cockroach, birth weight, acute lower respiratory illness, and maternal smoking. Am J Respir Crit Care Med. 1999;160(1):227–36.

    CAS  PubMed  Google Scholar 

  10. 10.

    Haugaard Rasmussen IM, Bonefeld-Jorgensen EC, Long M. Greenlandic women s lifestyle and diet during pregnancy and child risk for asthma, eczema and allergy: an ACCEPT-substudy. Int J Circumpolar Health. 2019;78(1):1682421.

    PubMed  PubMed Central  Google Scholar 

  11. 11.

    Itani O, Kaneita Y, Tokiya M, et al. Short sleep duration, shift work, and actual days taken off work are predictive life-style risk factors for new-onset metabolic syndrome: a seven-year cohort study of 40,000 male workers. Sleep Med. 2017;39:87–94.

    PubMed  Google Scholar 

  12. 12.

    Mourtakos SP, Tambalis KD, Panagiotakos DB, et al. Maternal lifestyle characteristics during pregnancy, and the risk of obesity in the offspring: a study of 5,125 children. BMC Pregnancy Child. 2015;15:66.

    Google Scholar 

  13. 13.

    Tauman R, Zuk L, Uliel-Sibony S, et al. The effect of maternal sleep-disordered breathing on the infant's neurodevelopment. Am J Obstet Gynecol. 2015;212(5):656 e1–7.

    PubMed  Google Scholar 

  14. 14.

    Skobeloff EM, Spivey WH, St Clair SS, et al. The influence of age and sex on asthma admissions. JAMA. 1992;268(24):3437–40.

    CAS  PubMed  Google Scholar 

  15. 15.

    Roved J, Westerdahl H, Hasselquist D. Sex differences in immune responses: hormonal effects, antagonistic selection, and evolutionary consequences. Horm Behav. 2017;88:95–105.

    CAS  PubMed  Google Scholar 

  16. 16.

    Yoshimi K, Shiina M, Takeda T. Lifestyle factors associated with premenstrual syndrome: a cross-sectional study of Japanese high school students. J Pediatr Adolesc Gynecol. 2019.

  17. 17.

    Montagni I, Guichard E, Carpenet C, et al. Screen time exposure and reporting of headaches in young adults: a cross-sectional study. Cephalalgia. 2016;36(11):1020–7.

    PubMed  Google Scholar 

  18. 18.

    Yu Y, Li M, Pu L, et al. Sleep was associated with depression and anxiety status during pregnancy: a prospective longitudinal study. Arch Womens Ment Health. 2017;20(5):695–701.

    PubMed  Google Scholar 

  19. 19.

    Zhao A, Zhao K, Xia Y, et al. Exploring associations of maternal sleep during periconceptional period with congenital heart disease in offspring. Birth Defects Res. 2019;111(13):920–31.

    CAS  PubMed  PubMed Central  Google Scholar 

  20. 20.

    Cepeda AM, Thawer S, Boyle RJ, et al. Diet and respiratory health in children from 11 Latin American countries: evidence from ISAAC phase III. Lung. 2017;195(6):683–92.

    CAS  PubMed  PubMed Central  Google Scholar 

  21. 21.

    Sole D, Camelo-Nunes IC, Wandalsen GF, et al. Asthma in children and adolescents in Brazil: contribution of the international study of asthma and allergies in childhood (ISAAC). Rev Paul Pediatr. 2014;32(1):114–25.

    PubMed  PubMed Central  Google Scholar 

  22. 22.

    Nwaru BI, Lumia M, Kaila M, et al. Validation of the Finnish ISAAC questionnaire on asthma against anti-asthmatic medication reimbursement database in 5-year-old children. Clin Respir J. 2011;5(4):211–8.

    PubMed  Google Scholar 

  23. 23.

    Kostovski M, Tasic V, Laban N, et al. Obesity in childhood and adolescence, genetic factors. Pril (Makedon Akad Nauk Umet Odd Med Nauki). 2017;38(3):121–33.

    Google Scholar 

  24. 24.

    Obesity: preventing and managing the global epidemic. Report of a WHO consultation. World Health Organ Tech Rep Ser. 2000; 894: i-xii, 1–253.

  25. 25.

    Duggan EM, Sturley J, Fitzgerald AP, et al. The 2002-2007 trends of prevalence of asthma, allergic rhinitis and eczema in Irish schoolchildren. Pediatr Allergy Immunol. 2012;23(5):464–71.

    PubMed  Google Scholar 

  26. 26.

    Rodriguez A, Brickley E, Rodrigues L, et al. Urbanisation and asthma in low-income and middle-income countries: a systematic review of the urban-rural differences in asthma prevalence. Thorax. 2019;74(11):1020–30.

    PubMed  PubMed Central  Google Scholar 

  27. 27.

    Bedolla-Barajas M, Javier Ramírez-Cervantes F, Morales-Romero J, et al. A rural environment does not protect against asthma or other allergic diseases amongst Mexican children. Allergol Immunopathol (Madr). 2018;46(1):31–8.

    CAS  Google Scholar 

  28. 28.

    Fazzi C, Saunders DH, Linton K, et al. Sedentary behaviours during pregnancy: a systematic review. Int J Behav Nutr Phys Act. 2017;14(1):32.

    PubMed  PubMed Central  Google Scholar 

  29. 29.

    Raimundo JR, Bergamaschi CT, Campos RR, et al. Autonomic and Renal Alterations in the Offspring of Sleep-Restricted Mothers During Late Pregnancy. Clinics (Sao Paulo). 2016;71(9):521–7.

    PubMed Central  Google Scholar 

  30. 30.

    Birks L, Guxens M, Papadopoulou E, et al. Maternal cell phone use during pregnancy and child behavioral problems in five birth cohorts. Environ Int. 2017;104:122–31.

    PubMed  PubMed Central  Google Scholar 

  31. 31.

    Clapp JF 3rd. Morphometric and neurodevelopmental outcome at age five years of the offspring of women who continued to exercise regularly throughout pregnancy. J Pediatr. 1996;129(6):856–63.

    PubMed  Google Scholar 

  32. 32.

    Polanska K, Muszynski P, Sobala W, et al. Maternal lifestyle during pregnancy and child psychomotor development - polish mother and child cohort study. Early Hum Dev. 2015;91(5):317–25.

    PubMed  Google Scholar 

  33. 33.

    Rosas-Salazar C, Hartert TV. Prenatal exposures and the development of childhood wheezing illnesses. Curr Opin Allergy Clin Immunol. 2017;17(2):110–5.

    CAS  PubMed  PubMed Central  Google Scholar 

  34. 34.

    Von Ehrenstein OS, Aralis H, Flores ME, et al. Fast food consumption in pregnancy and subsequent asthma symptoms in young children. Pediatr Allergy Immunol. 2015;26(6):571–7.

    Google Scholar 

  35. 35.

    Wegienka G, Havstad S, Zoratti EM, et al. Association between vitamin D levels and allergy-related outcomes vary by race and other factors. J Allergy Clin Immunol. 2015;136(5):1309–14 e1–4.

    CAS  PubMed  PubMed Central  Google Scholar 

  36. 36.

    Gazibara T, Den Dekker HT, De Jongste JC, et al. Associations of maternal and fetal 25-hydroxyvitamin D levels with childhood lung function and asthma: the generation R study. Clin Exp Allergy. 2016;46(2):337–46.

    CAS  PubMed  Google Scholar 

  37. 37.

    Vahdaninia M, Mackenzie H, Helps S, et al. Prenatal Intake of Vitamins and Allergic Outcomes in the Offspring: A Systematic Review and Meta-Analysis. J Allergy Clin Immunol Pract. 2017;5(3):771–8 e5.

    PubMed  Google Scholar 

  38. 38.

    Larsen TD, Sabey KH, Knutson AJ, et al. Diabetic Pregnancy and Maternal High-Fat Diet Impair Mitochondrial Dynamism in the Developing Fetal Rat Heart by Sex-Specific Mechanisms. Int J Mol Sci. 2019;20(12).

  39. 39.

    Ridolo E, Incorvaia C, Martignago I, et al. Sex in respiratory and skin allergies. Clin Rev Allergy Immunol. 2019;56(3):322–32.

    CAS  PubMed  Google Scholar 

  40. 40.

    Koken G, Sahin FK, Cosar E, et al. Oxidative stress markers in pregnant women who snore and fetal outcome: a case control study. Acta Obstet Gynecol Scand. 2007;86(11):1317–21.

    PubMed  Google Scholar 

  41. 41.

    Marques AH, Bjorke-Monsen AL, Teixeira AL, et al. Maternal stress, nutrition and physical activity: impact on immune function, CNS development and psychopathology. Brain Res. 1617;2015:28–46.

    Google Scholar 

  42. 42.

    Johnson CC, Ownby DR. The infant gut bacterial microbiota and risk of pediatric asthma and allergic diseases. Transl Res. 2017;179:60–70.

    PubMed  Google Scholar 

  43. 43.

    Campbell DE, Boyle RJ, Thornton CA, et al. Mechanisms of allergic disease - environmental and genetic determinants for the development of allergy. Clin Exp Allergy. 2015;45(5):844–58.

    CAS  PubMed  Google Scholar 

  44. 44.

    Dumas O, Varraso R, Gillman MW, et al. Longitudinal study of maternal body mass index, gestational weight gain, and offspring asthma. Allergy. 2016;71(9):1295–304.

    CAS  PubMed  PubMed Central  Google Scholar 

  45. 45.

    Melén E, Kere J, Pershagen G, et al. Influence of male sex and parental allergic disease on childhood wheezing: role of interactions. Clin Exp Allergy. 2004;34(6):839–44.

    PubMed  Google Scholar 

  46. 46.

    Kauppi P, Laitinen T, Ollikainen V, et al. The IL9R region contribution in asthma is supported by genetic association in an isolated population. Eur J Hum Genet. 2000;8(10):788–92.

    CAS  PubMed  Google Scholar 

  47. 47.

    D'esposito M, Matarazzo MR, Ciccodicola A, et al. Differential expression pattern of XqPAR-linked genes SYBL1 and IL9R correlates with the structure and evolution of the region. Hum Mol Genet. 1997;6(11):1917–23.

    CAS  PubMed  Google Scholar 

  48. 48.

    Karjalainen J, Nieminen MM, Aromaa A, et al. The IL-1beta genotype carries asthma susceptibility only in men. J Allergy Clin Immunol. 2002;109(3):514–6.

    CAS  PubMed  Google Scholar 

  49. 49.

    Hakonarson H, Wjst M. Current concepts on the genetics of asthma. Curr Opin Pediatr. 2001;13(3):267–77.

    CAS  PubMed  Google Scholar 

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Acknowledgements

Not applicable.

Funding

The study was funded by special grant for Preschool Children’s Health Management from Shanghai Municipal Education Commission, grants from National Natural Science Foundation of China (81874266, 81673183), and key project from Shanghai Municipal Science and Technology Commission (18411951600).

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JZ, ST, YY, and JQ was involved with study design and participants recruitment. YC and JL drafted the manuscript. YC, JL and YX participated in the design of the study and performed the statistical analysis. SL conceived of the study, and participated in its design and coordination and helped to draft the manuscript. All authors read and approved the final manuscript.

Corresponding authors

Correspondence to Jiajie Qu or Shenghui Li.

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The ethical application and the consent procedure of this study were approved by the Ethics Committee of Shanghai Jiao Tong University School of Medicine.

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The authors declare that they have no competing interests.

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Supplementary information

Additional file 1: Table S1.

Association of maternal behavioral factors during pregnancy with childhood respiratory allergies. Table S2. Association of maternal behavioral factors during pregnancy with childhood respiratory allergies stratified by gender and family allergic history. Table S3. Combined association of maternal behavioral factors during pregnancy with childhood respiratory allergies.

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Chen, Y., Lyu, J., Xia, Y. et al. Effect of maternal sleep, physical activity and screen time during pregnancy on the risk of childhood respiratory allergies: a sex-specific study. Respir Res 21, 230 (2020). https://doi.org/10.1186/s12931-020-01497-8

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Keywords

  • Allergic disease
  • Maternal behavioral characteristics
  • Pregnancy
  • Preschool children