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. 2023 Dec 1;102(48):e36345. doi: 10.1097/MD.0000000000036345

Association between parental occupational exposure and the risk of asthma in offspring: A meta-analysis and systematic review

Xiaoting Ren a, Lie Wang b, Zhongtian Wang a, Lei Wang a, Yibu Kong b, Yinan Guo b, Liping Sun b,*
PMCID: PMC10695554  PMID: 38050266

Abstract

Background:

Previous epidemiological studies have shown inconsistent results regarding the relation between the risk of asthma in offspring and parental occupational exposure. Therefore, we conducted a comprehensive and systematic collection of currently available epidemiological data to quantify the correlation between the 2.

Methods:

Related studies published before March 2023 were identified through searches of the Cochrane Library, Embase, PubMed, and Web of Science databases. The quality of included studies was assessed using the Newcastle-Ottawa Scale, while pooled odds ratios (ORs) with 95% confidence intervals (CIs) were computed using fixed-effect or random-effects models.

Results:

This systematic review included 10 cohort studies, with a total of 89,571 parent-child pairs included in the quantitative analysis. The results exhibited a substantial association between parental occupational exposure to allergens (OR = 1.11; 95% CI: 1.00, 1.23; P = .051) and irritants (OR = 1.19; 95% CI: 1.07, 1.32; P = .001) and an increased risk of asthma in offspring. This association was also observed in the analysis of wheezing (OR = 1.22; 95% CI: 1.11, 1.35; P < .001 and OR = 1.19; 95% CI: 1.08, 1.32; P = .001). Subgroup analysis demonstrated that maternal occupational exposure to allergens (OR = 1.07; 95% CI: 1.02, 1.12; P = .008) and irritants (OR = 1.13; 95% CI: 1.05, 1.21; P = .001) significantly increased the risk of childhood asthma. Furthermore, parental postnatal occupational exposure to allergens (OR = 1.26; 95% CI: 1.10, 1.46; P = .001) and irritants (OR = 1.26; 95% CI: 1.06, 1.49; P = .009) had a more pronounced impact on childhood asthma. Higher levels of exposure (OR = 1.26; 95% CI: 1.10, 1.46; P = .001 and OR = 1.30; 95% CI: 1.16, 1.47; P < .001) were recognized as significant risk factors for childhood asthma.

Conclusion:

Parental occupational exposure to allergens and irritants increases the risk of asthma and wheezing in offspring, with maternal exposure, postnatal exposure, and high-dose exposure being the primary risk factors for childhood asthma.

Keywords: allergens, childhood asthma, irritants, meta-analysis, parental occupational exposure

1. Introduction

Asthma is a significant health issue worldwide and the most common noncommunicable disease in childhood. It is characterized by widespread and variable reversible limitation of expiratory airflow, resulting in recurrent respiratory symptoms such as wheezing, breathlessness, chest tightness, and cough.[13] Since the latter half of the 20th century, the global incidence of childhood asthma has shown a significant upward trend,[2,4] particularly in low- and middle-income countries where the growth rate is higher.[35] The prevalence of asthma among 13 to 14-year-old children in Latin America is rapidly increasing at a rate of 0.32% per year, with countries such as New Zealand and Brazil reporting rates as high as 21.3% to 28%.[2] In recent years, although the number of global hospitalizations and deaths due to asthma has decreased,[6,7] it remains a significant determinant of disability-adjusted life years in children worldwide,[8] severely impacting their physical and mental health as well as growth and development, and increasing healthcare expenditure and socioeconomic burden.[9] Given the substantial burden of childhood asthma, primary prevention of this disease remains critically important.[10]

The etiology and progression of childhood asthma are driven by the interaction between the environment and genes.[10] Among these factors, environmental influences are believed to be the most significant contributors to allergic diseases in children.[11] It has been found that the prenatal and early life periods are crucial windows for the development of the immune and respiratory systems in children,[12] and they represent an opportunity window for asthma prevention.[3] High levels of occupational environmental exposure during pregnancy and early life in parents may be permanently stored through reproductive epigenetic marks and inherited by the next generation, thereby influencing the risk of asthma development.[13,14] Additionally, various environmental exposures during early life, such as air pollution,[15] allergens,[16,17] and irritants,[18] can induce airway inflammation and hyperresponsiveness, enhance oxidative stress, reduce lung function in children, and thereby trigger and accelerate the progression of asthma.[16,19,20] Currently, researchers have increasingly been attentive to the relationship between parental occupational exposures and the health of their offspring. Some systematic reviews and meta-analyses have demonstrated that parental occupational exposure to pesticides, organic solvents, or tremendously low-frequency magnetic fields can increase the risk of neurodevelopmental disorders, neurologic tumors, and brain tumors in their children.[2123] However, there is inconsistent evidence regarding the relationship between parental occupational exposures and offspring asthma. Tagiyeva et al[24] found that parental occupational exposure to insecticides and fungicides can increase the risk of offspring asthma, while Pape et al[25] reported inconsistent results in a cohort study conducted in Denmark. These discrepancies may be attributable to factors such as sample size and outcome assessment. Given the existing inconsistencies and limitations in the reported studies, we carried out this meta-analysis to systematically evaluate the correlation between parental occupational exposures and offspring asthma.

In this systematic review and meta-analysis, we comprehensively and systematically collected the currently available epidemiological data to quantify the correlation between parental occupational exposures and the risk of offspring asthma.

2. Methods

This report was designed and carried out according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA 2020) guidelines.[26] The study protocol has been registered on the PROSPERO website (Registration number: CRD42023413122).

2.1. Database search methods

The search strategy for this study employed a pattern of subject terms and free-text terms. We independently examined relevant studies available in Cochrane Library, Embase, PubMed, and Web of Science databases from the inception of databases to March 17, 2023. Non-English studies were excluded during the search. The specific search strategy can be found in Appendix 1, Supplemental Digital Content, http://links.lww.com/MD/K896.

2.2. Literature selection

The following criteria were used to include studies: The study design was a cohort study; Complete information on parental occupational exposures was available; The outcome of interest was a diagnosis of asthma or wheezing in offspring; The study reported odds ratios (ORs) and their 95% confidence intervals (CIs) or provided raw data that could be used for calculations.

Studies that met the following criteria were excluded: Reviews, conference papers, meta-analysis, study protocols, case reports, clinical trials or; Abstracts, replies, or letters; Studies with unavailable data or significant flaws.

Two researchers (RXT and WZT) independently screened the literature based on the above criteria and cross-checked the results upon completion. Any disagreements encountered during the study selection process were resolved through consensus reached by discussion or by involving a third researcher. When multiple studies reported similar study periods on the same population, preference was given to publications with larger sample sizes and further comprehensive information.

2.3. Data extraction

Independently, 2 researchers (RXT and WZT) extracted the data from the eligible papers, and any discrepancies in data extraction were resolved by involving a third researcher. The extracted information included the publication year, study design, first author, country and region, sample size, exposure object, exposure window period, exposure substances, covariates, and other relevant details. ORs and 95% CIs related to the outcome of interest were prioritized for extraction from multivariable analysis. In cases where multivariable analysis was not available, results were extracted from univariate analysis or calculated from event counts.

2.4. Quality assessment

Independently, 2 authors (RXT and WZT) evaluated the quality of the included studies through employing Newcastle-Ottawa Scale (NOS).[27] The NOS scale comprises 3 main sections: comparability, selection of the study population, and exposure/outcome. The total score ranges from 0 to 9, and based on the score, studies can be categorized as low (0–3 points), medium (4–6 points), or high (7–9 points) quality.

2.5. Outcome measures

We analyzed the impact of parental occupational exposure to allergens or irritants on asthma/wheezing in offspring. Asthma was the primary outcome of interest. The exposure levels were determined based on the asthma-specific job exposure matrix (JEM).[28] In addition, the 30 agents by the JEM were summarized into 2 distinct categories (allergens/irritants).[29] The allergen agents primarily include food, fish/shellfish, animals, flour, plant-related dust, plant mites, indoor mites, enzymes, storage mites, textiles, latex, medications, fatty amines, epoxy resins, isocyanates, acrylic esters, persulfates/nail dust, wood, and paraphenylenediamine. The irritant agents mainly include textiles, endotoxins, molds, high-level chemical disinfectants, fatty amines, epoxy resins, isocyanates, acrylic esters, persulfates/nail dust, wood, metals, metalworking herbicides, indoor cleaning agents, fluids, insecticides, fungicides, organic solvents, bleaching agents, and exhaust fumes.

2.6. Data integration and statistical analysis

Statistical analysis was conducted using Stata 15.0 software (StataCorp LP, College Station, TX). We employed the Q test and I2 test to evaluate study heterogeneity. If (I2 > 50%, P < .1) no significant heterogeneity is detected, we introduced the fixed-effects model (Mantel–Haenszel method). Otherwise, a random-effects model (DerSimonian–Laird method) was introduced. The association between parental occupational exposure and childhood asthma and wheezing was assessed by computing the pooled ORs and their corresponding 95% (CIs).

Subgroup analysis and regression analysis were performed based on the type of exposure agent (allergens/irritants), exposure object (mothers/fathers), exposure window period (prenatal/postnatal), and exposure level (low-dose/medium-dose/high-dose) to investigate the heterogeneity magnitude and sources among studies. Sensitivity analysis was carried out by systematically excluding each included study to measure the robustness of the pooled results. Publication bias was preliminarily assessed by funnel plots, and statistically determined by Egger or Begg tests. In the case of significant publication bias, the trim-and-fill method was adapted to evaluate the effect of publication bias on the results.

3. Results

3.1. Literature selection results and flowchart

A total of 2471 articles were initially retrieved from the databases, and no additional studies were found through reference browsing. After removing duplicates, 1850 articles were screened based on titles and abstracts. Among them, 1742 articles were excluded as a result of not meeting the inclusion criteria, and 108 articles underwent a full-text review. Finally, a total of 10 studies were included in this meta-analysis.[24,25,2936] The process of article selection is presented in Figure 1.

Figure 1.

Figure 1.

Flowchart of literature selection process.

3.2. Study characteristics and quality assessment

3.2.1. Study characteristics.

A total of 10 eligible studies were included in this meta-analysis. These studies were all cohort studies published between 2006 and 2023. Among them, 8 studies were conducted in Europe,[24,25,2931,3436] and 2 studies were conducted in Asia.[32,33] A total of 89,571 parent-child pairs were included, with the age range of the offspring being 0 to 18 years. Among the 10 studies, 6 studies reported only maternal occupational exposure[3034,36]; one study reported only paternal occupational exposure,[35] and 3 studies provided data on both parental (father/mother/both) occupational exposures.[24,25,29] The exposure duration varied from prepregnancy to post-birth, and parental occupational exposure information was assessed using the JEM,[24,25,2931,36] or self-reported exposure status.[3235] Occupational determinations were classified based on the Danish International Standard Classification of Occupations codes,[31] International Standard Classification of Occupations-1988,[25,29,36] Japanese Standard Occupational Classification 2009,[32,33] International Standard Classification of Occupations 1968 version,[34] or Standard Occupational Classification 2000 codes.[24] The fundamental characteristics of the included studies are detailed in Table 1.

Table 1.

Basic characteristics of included studies.

First author Year Country Study design Exposure source Substance of exposure Exposure assessment Exposure period Sample size Age of offspring(yr) Outcomes Adjusted confounders
Exposed group nonexposed group
Bajeux et al 2014 France Cohort study Maternal Oxidizing solvents, petroleum, chlorinated solvents JEM Pregnancy 504 862 26.7 (2.2) mo Asthma Eczema Maternal age at delivery, child age, child sex, family history of allergy, history of prenatal and postnatal tobacco exposure, preterm birth, number of born siblings, type of delivery, day care services, fish consumption
Christensen et al 2013 Denmark Cohort study Maternal HMW agents HMW and LMW mixed agents DISCO and JEM Pregnancy (12–16, 30–35 wk)
Postnatal (child was 6–18 mo)
18,438 23,286 0–7 Asthma Maternal age, prepregnancy BMI, atopy, smoking during pregnancy, use of medication during pregnancy (dichotomous variables for the use of acetyl salicylic acid, paracetamol, folic acid and antibiotics), parity and furry animal ownership during pregnancy, child birth weight, child sex, education level, socioeconomic level.
Forster et al 2023 Germany Cohort study Parental Allergens and irritants ISCO-88 and JEM Preconception NM NM 0–1 Wheeze Eczema Education status, occupational status, household socioeconomic status, ethnicity, Parental age at child’s birth.
Kojima et al 2021 Japan Cohort study Maternal Hair dye The 2009 Japan Standard Occupational Classification Pregnancy 7333 69,970 0–3 Asthma Allergic rhinitis Maternal history of allergies, age, indoor smoking, maternal body mass index, household income, mode of delivery, sex of the child, preterm, birthweight, older siblings, exclusive breast feeding, daycare attendance at 1 yr old, and a history of respiratory syncytial virus infection.
Kojima et al 2022 Japan Cohort study Maternal Disinfectant The 2009 Japan Standard Occupational Classification Pregnancy (22–28 wk) 5248 10,947 0–3 Wheeze Eczema Maternal and paternal history of allergy, maternal body mass index, maternal exposure to indoor cigarette smoke, maternal alcohol consumption during pregnancy,maternal age at pregnancy, household income, mode of delivery, preterm birth, child birth weight, child sex, older siblings, exclusive breastfeeding, child daycare attendance at 1 yr, maternal occupation.
Magnusson et al 2006 Sweden Cohort study Maternal Organic solvents ISCO-68 Pregnancy 490 5851 14–18 Asthma Wheeze Socioeconomic group, maternal educational level, maternal age, parity, maternal smoking, gender, postnatal parental smoking, and breast feeding.
Pape et al 2021 Denmark Cohort study Parental Microorganisms, Pesticides, Allergens and Chemicals ISCO-88 and JEM Preconception only,
Preconception and postpartum
Postnatal
1324 2661 0–15 Asthma Study center, offspring’s sex and parent’s characteristic (age, asthma before the age of 10 yr, asthma after the age of 10 yr, place of upbringing, and smoking) as well as parent’s and grandparent’s educational level.
Svanes et al 2017 Norway Cohort study Paternal Welding or metal fumes Questionnaires Preconception and pregnancy 1854 6773 10 Asthma Offspring age, paternal characteristics (age, education, smoking status), study center, cluster by family.
Tagiyeva et al 2010 UK Cohort study Parental Wood, diisocyanate, flour, glues/resins, animals, solder, enzymes, biocides/fungicides, foods,natural rubber latex and dyes SOC and JEM Pregnancy (18 wk)
Postnatal (21 mo)
Pregnancy = 7283
Postnatal = 3333
Pregnancy = 13,383
Postnatal = 6613
0–102 mo Asthma Sex, birthweight, gestational age at delivery and maternal asthma, age at delivery, parity, highest educational qualification, smoking during pregnancy and home ownership status
Tjalvin et al 2022 Norway Cohort study Maternal Cleaning products/detergents and low/intermediate-level disinfectants ISCO-88 and JEM Preconception only,
Preconception and postpartum
Postnatal
1307 2011 0–10 Asthma
Asthma with nasal allergies
Wheezing and/or asthma
Mother’s level of education (primary, secondary, and college/university), maternal smoking in 3 categories (no smoking, during pregnancy and/or childhood, during childhood) and maternal ever asthma.

DISCO = Danish International Standard classification of Occupations, HMW = High-molecular-weight, ISCO-88 = International Standard Classification of Occupations, Revised edition 1988, ISCO-68 = International Standard Classification of Occupations, Revised edition 1968, JEM = the asthma-specific job exposure matrix, job exposure matrix, LMW = Low-molecular-weight, NM = not mentioned, SOC =Standard Occupational Classification.

3.2.2. Quality assessment.

The results of the NOS assessment indicated that all included studies[24,25,2936] scored between 7 and 9 points, suggesting high-quality, as presented in Table 2. Most studies scored high in the comparability section, while the scores for the adequacy of follow-up were lower. This could be attributed to the long follow-up duration, leading to varying degrees of loss to follow-up and affecting the completeness of follow-up.

Table 2.

Quality assessment of included studies.

Study Selection Comparability Outcome Quality scores
Representativeness of the exposed cohort Selection of the nonexposed cohort Ascertainment of exposure Demonstration that outcome of interest was not present at start of study Comparability of cohorts on the basis of the design or analysis* Assessment of outcome Was follow-up long enough for outcomes to occur Adequacy of follow-up of cohorts
Bajeux 2014 - 7
Christensen 2013 - 7
Forster 2023 - 7
Kojima 2021 8
Kojima 2022 8
Magnusson 2006 - 7
Pape 2021 - 7
Svanes 2017 8
Tagiyeva 2010 - 7
Tjalvin 2022 ✻✻ 9
*

We selected “sex and birth year” as the most important adjusting factors.

A mean duration of follow-up of at least 1 year was considered as long enough for outcome to occur in this meta-analysis.

It was regarded adequate when the follow-up rate was at least 80%, or a follow-up rate >70%, and the loss of follow-up was describe.

3.3. Meta-analysis

3.3.1. Correlation between parental exposure to allergens and offspring asthma.

Four studies[24,25,31,32] reported the correlation between parental exposure to allergens and offspring asthma. The random-effects model was used to pool data. The analysis results indicated a borderline significant relationship between parental occupational exposure to allergens and the occurrence of offspring asthma (OR = 1.11; 95% CI: 1.00, 1.23; P = .051), as depicted in Figure 2A. Moreover, there was statistically substantial heterogeneity among the included studies (I2 = 53.3%, P = .045). Sensitivity analysis results revealed that the conclusion was robust, as the pooled results did not change after systematically excluding individual trials, as shown in Figure 2B. The funnel plot and Begg publication bias test denoted no potential bias among the included studies (P = 1.000).

Figure 2.

Figure 2.

(A) Forest plot for the relationship between parental exposure to allergens and offspring asthma. (B) Sensitivity analysis of the relationship between parental exposure to allergens and offspring asthma. (C) Forest plot for the relationship between parental exposure to irritants and offspring asthma. (D) Sensitivity analysis of the relationship between parental exposure to irritants and offspring asthma.

3.3.2. Relationship between parental exposure to irritants and offspring asthma.

Seven studies[24,25,30,31,3335] reported the association between parental occupational exposure to 11 types of irritants (cleaning agents, disinfectants, organic solvents, etc.) and offspring asthma. Heterogeneity analysis showed no statistically substantial heterogeneity among the included studies (I2 = 19.1%, P = .246), thus a fixed-effects model was introduced to pool the effect sizes. The results indicated that parental occupational exposure to irritant substances increased the risk of offspring asthma (OR = 1.19; 95% CI: 1.07, 1.32; P = .001), as shown in Figure 2C. Sensitivity analysis demonstrated the robustness of the results as the exclusion of any individual study did not affect the overall results, as illustrated in Figure 2D. The funnel plot and Begg test denoted no potential bias (P = .063).

3.3.3. Relationship between parental exposure to allergens and offspring wheezing.

Two studies[24,29] were included to measure the relationship between parental occupational exposure to allergens and offspring wheezing. No significant heterogeneity was observed among the studies (I2 = 0.0%, P = .624), thus a fixed-effects model was introduced to summarize the results. The findings revealed a substantial association between occupational exposure to allergens and offspring wheezing (OR = 1.22; 95% CI: 1.11, 1.35; P < .001), as depicted in Figure 3A. Sensitivity analysis further confirmed the robustness of the results, as shown in Figure 3B. The funnel plot and Begg test denoted no potential bias among the included studies (P = .734).

Figure 3.

Figure 3.

(A) Forest plot for the relationship between parental exposure to allergens and offspring wheezing. (B) Sensitivity analysis of the relationship between parental exposure to allergens and offspring wheezing. (C) Forest plot for the relationship between parental exposure to irritants and offspring wheezing. (D) Sensitivity analysis of the relationship between parental exposure to irritants and offspring wheezing.

3.3.4. Relationship between parental exposure to irritants and offspring wheezing.

Five studies[24,29,30,34,36] discussed the relationship between parental exposure to irritants and offspring wheezing. The random-effects model was used to pool data. The analysis results revealed that parental occupational exposure to irritant substances resulted in a substantial increase in the risk of offspring wheezing (OR = 1.19; 95% CI: 1.08, 1.32; P = .001), as shown in Figure 3C. No significant heterogeneity was observed among the included studies (I2 = 0%, P = .659). Sensitivity analysis demonstrated that the association between exposure to irritant substances and offspring wheezing remained unchanged when any individual study was omitted, as displayed in Figure 3D. The funnel plot and Begg test denoted no potential bias among the included studies (P = .466).

3.4. Subgroup analysis

Subgroup analysis was performed to explore the effects of different exposure objects, exposure window periods, and exposure levels on offspring wheezing, the main disease outcome of interest.

For occupational exposure to allergens, subgroup analysis based on exposure objects[24,25,31,32] showed that maternal occupational exposure to allergenic substances significantly increased the risk of offspring wheezing (OR = 1.07; 95% CI: 1.02, 1.12; P = .008). In contrast, no statistically substantial association was noted between paternal exposure to allergenic substances and offspring wheezing (OR = 0.79; 95% CI: 0.53, 1.19; P = .256), as demonstrated in Figure S1A, Supplemental Digital Content, http://links.lww.com/MD/K895. Based on the subgroup analysis by exposure window periods,[24,31,32] parental occupational exposure to allergens, both prenatally and postnatally, may increase the risk of offspring wheezing (OR = 1.05; 95% CI: 0.99, 1.10; P = .088 and OR = 1.42; 95% CI: 1.16, 1.74; P = .001), whereas Pape et al[25] did not find a substantial association between prenatal and postnatal exposure in their longitudinal observation (OR = 1.05; 95% CI: 0.81, 1.35; P = .724), as depicted in Figure S1B, Supplemental Digital Content, http://links.lww.com/MD/K895. Regression analysis further confirmed the significant difference in the impact of exposure windows on offspring wheezing (P = .009). Subgroup analysis based on different exposure levels[24,32] revealed that high-dose allergen exposure was associated with the occurrence of offspring wheezing (OR = 1.26; 95% CI: 1.10, 1.46; P = .001), while the association was weaker for low-dose and moderate-dose exposures (OR = 1.17; 95% CI: 0.89, 1.55; P = .265 and OR = 1.09; 95% CI: 1.00, 1.19; P = .054), as described in Figure S1C, Supplemental Digital Content, http://links.lww.com/MD/K895.

In terms of occupational exposure to irritants, subgroup analysis based on exposure objects[24,25,30,3336] showed that maternal occupational exposure to irritant substances significantly increased the risk of offspring wheezing (OR = 1.13; 95% CI: 1.05, 1.21; P = .001). On the other hand, no statistically significant association was observed between paternal exposure to these substances and offspring wheezing (OR = 0.93; 95% CI: 0.69, 1.24; P = .612), as shown in Figure S1D, Supplemental Digital Content, http://links.lww.com/MD/K895. Based on the subgroup analysis by exposure window periods,[24,25,30,3336] occupational exposure to irritants, both prenatally and postnatally, increased the risk of offspring wheezing (OR = 1.10; 95% CI: 1.02, 1.19; P = .011 and OR = 1.26; 95% CI: 1.06, 1.49; P = .009). However, Tjalvin et al[36] found no substantial association between prenatal and postnatal exposure in their longitudinal observation (OR = 0.95; 95% CI: 0.71, 1.25; P = .681), as presented in Figure S1E, Supplemental Digital Content, http://links.lww.com/MD/K895. Subgroup analysis based on different exposure levels[24,33,34,36] revealed that high-dose exposure to irritants was associated with the occurrence of offspring wheezing (OR = 1.30; 95% CI: 1.16, 1.47; P < .001), while the association was weaker for low/medium-dose exposures (OR = 1.05; 95% CI: 0.96, 1.15; P = .262), as described in Figure S1F, Supplemental Digital Content, http://links.lww.com/MD/K895. Regression analysis further confirmed the substantial difference in the effect of exposure levels of irritant substances on offspring wheezing (P = .006).

4. Discussion

The results of this study indicate that parental occupational exposure to allergens and irritants was associated with an increased risk of childhood asthma and wheezing. Subgroup analysis suggests that maternal exposure is the primary risk factor for childhood asthma. Furthermore, the postnatal period is an important window of vulnerability to allergen exposure, and both postnatal and prenatal exposure to irritants significantly increase the risk of childhood asthma. Regarding exposure levels, a higher level of exposure has a more pronounced impact on childhood asthma.

Previous studies have reported similar findings,[3740] indicating that the risk of asthma in offspring increases with parental occupational exposure to allergens or irritants. Occupational allergens or irritants can adhere to contaminated clothing or skin and be brought home, resulting in indirect exposure for children from their parents work environment, thereby increasing the risk of asthma[39,41] and affecting children’s lung function. This may be related to prenatal developmental effects or postnatal stimulation of airway development.[42] It is well known that the prenatal period and early life of children are critical periods for the development of the immune and respiratory systems and sensitive window periods of exposure to chemicals.[12,43,44] During this period, some chemicals in allergens and irritants can pass through the placental barrier and directly impact fetal development.[36,45] Previous animal and cell studies have reported potential mechanisms by which parental exposure to allergens and irritants leads to the development of asthma in offspring. Exposure of parents to substances such as plasticizers and organic solvents can induce epigenetic changes in gene expression,[46] participate in the expression of genes involved in TH2 differentiation,[47] alter the development of the immune system through T-cell polarization,[43] leading to an imbalance in Th1/Th2 immune responses[48] and increasing the risk of asthma in offspring.[49] In addition, the gut microbiota during pregnancy and early life can promote the maturation of the human immune system,[44,50,51] which is closely correlated with the occurrence and development of the offspring allergic diseases.[5254] Studies have shown that exposure to cleaning agents or disinfectants during pregnancy may influence the diversity of maternal microbial flora, thereby affecting fetal immune development and the establishment and maturation of gut microbiota, increasing the risk of offspring allergic diseases.[33,36,55,56] These findings may help explain how parental occupational exposure to allergens or irritants elevates the risk of asthma in offspring.

We found that the risk of asthma development in offspring was greatly affected by maternal occupational exposure. The potential reason may be that maternal reproductive cells are more vulnerable during pregnancy.[35,57] Along with the increasing time of exposure, higher levels of environmental toxins accumulate in reproductive cells, leading to an increased incidence of the novo mutations and epigenetic changes.[58] Additionally, the interaction between microbiota and immune system in the maternal-infant dyad also influences the development of childhood asthma.[59,60] Maternal exposure to allergens or irritants can cause alterations in microbial diversity, which, through vertical transmission from mother to child, affects fetal immune development and leads to a higher incidence of asthma in offspring.[52] This also explains the lack of significant association observed between prenatal exposure to allergens and asthma in offspring in our subgroup analysis, as including paternal prenatal exposure data might have confounded the results.

Our study has several strengths. Firstly, to our knowledge, this is the first meta-analysis estimating the association between parental occupational exposure and the risk of asthma/wheezing in offspring. Secondly, subgroup analysis was conducted based on exposure objects, exposure window periods, and exposure levels to investigate the effects of different influencing factors on the risk of childhood asthma. Thirdly, our study included a total of 89,571 parent-child pairs, ensuring sufficient statistical power for conducting the meta-analysis. Lastly, our analysis is free from publication bias. However, our study also has some limitations. Firstly, the assessment of parental occupational exposure was mainly based on questionnaire surveys and/or asthma-specific job exposure matrices without a unified criterion. Therefore, self-reported data might lead to exposure misclassification, introducing potential bias. Secondly, due to the limited number of retrieved studies, we categorized exposure substances into allergens and irritants without conducting a more detailed subgroup analysis. In the future, with an adequate number of observational studies available, we will perform further refined meta-analysis for more specific exposure categories. Thirdly, our study conclusions may be influenced by the included articles, and more large-scale, high-quality cohort studies are warranted to provide further evidence for our findings.

5. Conclusion

Parental occupational exposure to allergens and irritants increases the risk of asthma and wheezing in offspring, particularly with maternal exposure, postnatal exposure, and high-dose exposure being the primary risk factors for childhood asthma. Therefore, parents are recommended to avoid occupational exposure to harmful substances as much as possible, take appropriate personal protective measures during exposure, and ensure thorough cleaning before returning to the home environment to protect the early immune and respiratory system development of their children. In future research, more detailed investigations into specific categories of exposure substances and their association with asthma in offspring can be conducted, combining epidemiological and experimental studies to elucidate the underlying mechanisms of asthma development.

Author contributions

Conceptualization: Xiaoting Ren, Lie Wang, Zhongtian Wang, Lei Wang, Yibu Kong, Yinan Guo, Liping Sun.

Formal analysis: Xiaoting Ren, Zhongtian Wang, Yibu Kong.

Funding acquisition: Yibu Kong, Yinan Guo, Liping Sun.

Investigation: Xiaoting Ren, Zhongtian Wang, Yibu Kong.

Methodology: Xiaoting Ren, Zhongtian Wang, Lei Wang.

Resources: Lie Wang, Liping Sun.

Supervision: Lie Wang, Yinan Guo, Liping Sun.

Writing – original draft: Xiaoting Ren, Liping Sun.

Writing – review & editing: Xiaoting Ren, Lie Wang, Zhongtian Wang, Lei Wang, Yibu Kong, Yinan Guo, Liping Sun.

Supplementary Material

medi-102-e36345-s001.doc (32.5KB, doc)

Abbreviations:

CI
confidence interval
JEM
the asthma-specific job exposure matrix
NOS
Newcastle-Ottawa Scale
OR
odds ratio
SOC
standard occupational classification

All data generated or analyzed during this study are included in this published article [and its supplementary information files].

The study protocol has been registered on the PROSPERO website (Registration number: CRD42023413122).

This work was supported by the National Natural Science Foundation of China (Grant No. 81974579, 82004421, 82205193), Science and Technology Development Plan Project of Jilin Provincial (20210101240JC), and Jilin Science and Technology Innovation Platform, Jilin Traditional Chinese Medicine Pediatrics Clinical Medical Center (20200603008SF), Changchun, China.

Supplemental Digital Content is available for this article.

The authors have no conflicts of interest to disclose.

How to cite this article: Ren X, Wang L, Wang Z, Wang L, Kong Y, Guo Y, Sun L. Association between parental occupational exposure and the risk of asthma in offspring: A meta-analysis and systematic review. Medicine 2023;102:48(e36345).

Contributor Information

Xiaoting Ren, Email: 21102570569@stu.ccucm.edu.cn.

Lie Wang, Email: 452615325@qq.com.

Zhongtian Wang, Email: 452615325@qq.com.

Lei Wang, Email: 452615325@qq.com.

Yibu Kong, Email: kongyblucky@163.com.

Yinan Guo, Email: 39561431@qq.com.

References

  • [1].Meghji J, Mortimer K, Agusti A, et al. Improving lung health in low-income and middle-income countries: from challenges to solutions. Lancet. 2021;397:928–40. [DOI] [PubMed] [Google Scholar]
  • [2].Asher MI, Rutter CE, Bissell K, et al. Worldwide trends in the burden of asthma symptoms in school-aged children: global asthma network phase I cross-sectional study. Lancet. 2021;398:1569–80. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [3].2023 GINA Report, Global Strategy for Asthma Management and Prevention. Global Initiative for Asthma; 2023. [Google Scholar]
  • [4].Asher MI, Montefort S, Björkstén B, et al. Worldwide time trends in the prevalence of symptoms of asthma, allergic rhinoconjunctivitis, and eczema in childhood: ISAAC phases one and three repeat multicountry cross-sectional surveys. Lancet. 2006;368:733–43. [DOI] [PubMed] [Google Scholar]
  • [5].Asher MI, García-Marcos L, Pearce NE, et al. Trends in worldwide asthma prevalence. Eur Respir J. 2020;56:2002094. [DOI] [PubMed] [Google Scholar]
  • [6].Beasley R, Semprini A, Mitchell EA. Risk factors for asthma: is prevention possible? Lancet. 2015;386:1075–85. [DOI] [PubMed] [Google Scholar]
  • [7].Pavord ID, Beasley R, Agusti A, et al. After asthma: redefining airways diseases. Lancet. 2018;391:350–400. [DOI] [PubMed] [Google Scholar]
  • [8].Vos T, Flaxman AD, Naghavi M, et al. Years lived with disability (YLDs) for 1160 sequelae of 289 diseases and injuries 1990-2010: a systematic analysis for the global burden of disease study 2010. Lancet. 2012;380:2163–96. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [9].Dieleman JL, Squires E, Bui AL, et al. Factors associated with increases in US Health Care Spending, 1996–2013. JAMA. 2017;318:1668–78. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [10].von Mutius E, Smits HH. Primary prevention of asthma: from risk and protective factors to targeted strategies for prevention. Lancet. 2020;396:854–66. [DOI] [PubMed] [Google Scholar]
  • [11].Worldwide variation in prevalence of symptoms of asthma, allergic rhinoconjunctivitis, and atopic eczema: ISAAC. The International Study of Asthma and Allergies in Childhood (ISAAC) Steering Committee. Lancet. 1998;351:1225–32. [PubMed] [Google Scholar]
  • [12].Dietert RR, Etzel RA, Chen D, et al. Workshop to identify critical windows of exposure for children’s health: immune and respiratory systems work group summary. Environ Health Perspect. 2000;108(Suppl 3(Suppl 3):483–90. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [13].Arshad SH, Karmaus W, Zhang H, et al. Multigenerational cohorts in patients with asthma and allergy. J Allergy Clin Immunol. 2017;139:415–21. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [14].Rehan VK, Liu J, Naeem E, et al. Perinatal nicotine exposure induces asthma in second generation offspring. BMC Med. 2012;10:129. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [15].Georas SN, van Wijngaarden E, Rich DQ. Air pollution and asthma incidence: doubt no more? Lancet Respir Med. 2015;3:902–3. [DOI] [PubMed] [Google Scholar]
  • [16].Sporik R, Holgate ST, Platts-Mills TA, et al. Exposure to house-dust mite allergen (Der p I) and the development of asthma in childhood a prospective study. N Engl J Med. 1990;323:502–7. [DOI] [PubMed] [Google Scholar]
  • [17].Morgan WJ, Crain EF, Gruchalla RS, et al. Results of a home-based environmental intervention among urban children with asthma. N Engl J Med. 2004;351:1068–80. [DOI] [PubMed] [Google Scholar]
  • [18].Tischer C, Chen CM, Heinrich J. Association between domestic mould and mould components, and asthma and allergy in children: a systematic review. Eur Respir J. 2011;38:812–24. [DOI] [PubMed] [Google Scholar]
  • [19].Thysen AH, Waage J, Larsen JM, et al. Distinct immune phenotypes in infants developing asthma during childhood. Sci Transl Med. 2020;12:eaaw0258. [DOI] [PubMed] [Google Scholar]
  • [20].Gehring U, Wijga AH, Hoek G, et al. Exposure to air pollution and development of asthma and rhinoconjunctivitis throughout childhood and adolescence: a population-based birth cohort study. Lancet Respir Med. 2015;3:933–42. [DOI] [PubMed] [Google Scholar]
  • [21].Van Maele-Fabry G, Hoet P, Lison D. Parental occupational exposure to pesticides as risk factor for brain tumors in children and young adults: a systematic review and meta-analysis. Environ Int. 2013;56:19–31. [DOI] [PubMed] [Google Scholar]
  • [22].Su L, Zhao C, Jin Y, et al. Association between parental occupational exposure to extremely low frequency magnetic fields and childhood nervous system tumors risk: a meta-analysis. Sci Total Environ. 2018;642:1406–14. [DOI] [PubMed] [Google Scholar]
  • [23].Bemanalizadeh M, Khoshhali M, Goli P, et al. Parental occupational exposure and neurodevelopmental disorders in offspring: a systematic review and meta-analysis. Curr Environ Health Rep. 2022;9:406–22. [DOI] [PubMed] [Google Scholar]
  • [24].Tagiyeva N, Devereux G, Semple S, et al. Parental occupation is a risk factor for childhood wheeze and asthma. Eur Respir J. 2010;35:987–93. [DOI] [PubMed] [Google Scholar]
  • [25].Pape K, Svanes C, Sejbæk CS, et al. Parental occupational exposure pre- and post-conception and development of asthma in offspring. Int J Epidemiol. 2021;49:1856–69. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [26].Page MJ, Moher D, Bossuyt PM, et al. PRISMA 2020 explanation and elaboration: updated guidance and exemplars for reporting systematic reviews. BMJ. 2021;372:n160. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [27].Stang A. Critical evaluation of the Newcastle-Ottawa scale for the assessment of the quality of nonrandomized studies in meta-analyses. Eur J Epidemiol. 2010;25:603–5. [DOI] [PubMed] [Google Scholar]
  • [28].Le Moual N, Zock JP, Dumas O, et al. Update of an occupational asthma-specific job exposure matrix to assess exposure to 30 specific agents. Occup Environ Med. 2018;75:507–14. [DOI] [PubMed] [Google Scholar]
  • [29].Forster F, Heumann C, Schaub B, et al. Parental occupational exposures prior to conception and offspring wheeze and eczema during first year of life. Ann Epidemiol. 2023;77:90–7. [DOI] [PubMed] [Google Scholar]
  • [30].Bajeux E, Cordier S, Garlantézec R, et al. Perinatal exposure to solvents and wheezing, eczema and food allergies at age 2. Occup Environ Med. 2014;71:636–41. [DOI] [PubMed] [Google Scholar]
  • [31].Christensen BH, Thulstrup AM, Hougaard KS, et al. Maternal occupational exposure to asthmogens during pregnancy and risk of asthma in 7-year-old children: a cohort study. BMJ Open. 2013;3:e002401. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [32].Kojima R, Shinohara R, Horiuchi S, et al. Association between gestational hair dye use and allergies at 3 years old: the Japan environment and Children’s study. Environ Res. 2021;201:111530. [DOI] [PubMed] [Google Scholar]
  • [33].Kojima R, Shinohara R, Kushima M, et al. Prenatal occupational disinfectant exposure and childhood allergies: the Japan Environment and Children’s study. Occup Environ Med. 2022;79:521–6. [DOI] [PubMed] [Google Scholar]
  • [34].Magnusson LL, Wennborg H, Bonde JP, et al. Wheezing, asthma, hay fever, and atopic eczema in relation to maternal occupations in pregnancy. Occup Environ Med. 2006;63:640–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [35].Svanes C, Koplin J, Skulstad SM, et al. Father’s environment before conception and asthma risk in his children: a multi-generation analysis of the Respiratory Health in Northern Europe study. Int J Epidemiol. 2017;46:235–45. [DOI] [PubMed] [Google Scholar]
  • [36].Tjalvin G, Svanes O, Igland J, et al. Maternal preconception occupational exposure to cleaning products and disinfectants and offspring asthma. J Allergy Clin Immunol. 2022;149:422–431.e5. [DOI] [PubMed] [Google Scholar]
  • [37].Li X, Sundquist K, Sundquist J. Parental occupation and risk of hospitalization for asthma in children and adolescents. J Asthma. 2009;46:815–21. [PubMed] [Google Scholar]
  • [38].Salameh PR, Baldi I, Brochard P, et al. Respiratory symptoms in children and exposure to pesticides. Eur Respir J. 2003;22:507–12. [DOI] [PubMed] [Google Scholar]
  • [39].Tagiyeva N, Anua SM, Semple S, et al. The “take home” burden of workplace sensitizers: flour contamination in bakers’ families. Environ Int. 2012;46:44–9. [DOI] [PubMed] [Google Scholar]
  • [40].Tjalvin G, Igland J, Benediktsdóttir B, et al. Maternal preconception exposure to cleaning agents and disinfectants and offspring asthma. Eur Respir Soc. 2020. [DOI] [PubMed] [Google Scholar]
  • [41].Krakowiak A, Szulc B, Górski P. Allergy to laboratory animals in children of parents occupationally exposed to mice, rats and hamsters. Eur Respir J. 1999;14:352–6. [DOI] [PubMed] [Google Scholar]
  • [42].Henderson J, Sherriff A, Farrow A, et al. Household chemicals, persistent wheezing and lung function: effect modification by atopy? Eur Respir J. 2008;31:547–54. [DOI] [PubMed] [Google Scholar]
  • [43].Carraro S, Scheltema N, Bont L, et al. Early-life origins of chronic respiratory diseases: understanding and promoting healthy ageing. Eur Respir J. 2014;44:1682–96. [DOI] [PubMed] [Google Scholar]
  • [44].Donald K, Finlay BB. Early-life interactions between the microbiota and immune system: impact on immune system development and atopic disease. Nat Rev Immunol. 2023;23:735–48. [DOI] [PubMed] [Google Scholar]
  • [45].Valle-Sistac J, Molins-Delgado D, Díaz M, et al. Determination of parabens and benzophenone-type UV filters in human placenta first description of the existence of benzyl paraben and benzophenone-4. Environ Int. 2016;88:243–9. [DOI] [PubMed] [Google Scholar]
  • [46].Martino D, Prescott S. Epigenetics and prenatal influences on asthma and allergic airways disease. Chest. 2011;139:640–7. [DOI] [PubMed] [Google Scholar]
  • [47].Jahreis S, Trump S, Bauer M, et al. Maternal phthalate exposure promotes allergic airway inflammation over 2 generations through epigenetic modifications. J Allergy Clin Immunol. 2018;141:741–53. [DOI] [PubMed] [Google Scholar]
  • [48].Lehmann I, Thoelke A, Rehwagen M, et al. The influence of maternal exposure to volatile organic compounds on the cytokine secretion profile of neonatal T cells. Environ Toxicol. 2002;17:203–10. [DOI] [PubMed] [Google Scholar]
  • [49].Warner JA. Primary sensitization in infants. Ann Allergy Asthma Immunol. 1999;83:426–30. [DOI] [PubMed] [Google Scholar]
  • [50].Spreckels JE, Zhernakova A. Milk and bugs educate infant immune systems. Immunity. 2021;54:1633–5. [DOI] [PubMed] [Google Scholar]
  • [51].Vatanen T, Kostic AD, d’Hennezel E, et al. Variation in microbiome LPS immunogenicity contributes to autoimmunity in humans. Cell. 2016;165:842–53. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [52].Gao Y, Nanan R, Macia L, et al. The maternal gut microbiome during pregnancy and offspring allergy and asthma. J Allergy Clin Immunol. 2021;148:669–78. [DOI] [PubMed] [Google Scholar]
  • [53].Gomez de Agüero M, Ganal-Vonarburg SC, Fuhrer T, et al. The maternal microbiota drives early postnatal innate immune development. Science. 2016;351:1296–302. [DOI] [PubMed] [Google Scholar]
  • [54].Vuillermin PJ, O’Hely M, Collier F, et al. Maternal carriage of Prevotella during pregnancy associates with protection against food allergy in the offspring. Nat Commun. 2020;11:1452. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [55].Torow N, Hand TW, Hornef MW. Programmed and environmental determinants driving neonatal mucosal immune development. Immunity. 2023;56:485–99. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [56].Arrieta MC, Stiemsma LT, Amenyogbe N, et al. The intestinal microbiome in early life: health and disease. Front Immunol. 2014;5:427. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [57].Nilsson EE, Skinner MK. Environmentally induced epigenetic transgenerational inheritance of disease susceptibility. Transl Res. 2015;165:12–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [58].Wu S, Wu F, Ding Y, et al. Advanced parental age and autism risk in children: a systematic review and meta-analysis. Acta Psychiatr Scand. 2017;135:29–41. [DOI] [PubMed] [Google Scholar]
  • [59].Jenmalm MC. The mother-offspring dyad: microbial transmission, immune interactions and allergy development. J Intern Med. 2017;282:484–95. [DOI] [PubMed] [Google Scholar]
  • [60].Xiao L, Zhao F. Microbial transmission, colonisation and succession: from pregnancy to infancy. Gut. 2023;72:772–86. [DOI] [PMC free article] [PubMed] [Google Scholar]

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