Association between maternal age at delivery and allergic rhinitis in schoolchildren: A population-based study

Lu, Hung-Yi; Chiu, Chian‐Song; Kao, Po-Hsiang; Tsai, Zhao-Ting; Gau, Chun‐Chun; Lee, Wan-Fang; Wu, Chao‐Yi; Lan, Yu-Tung; Hung, Chung-Chieh; Chang, Fang‐Yu; Huang, Yunpeng; Huang, Hsin‐Yi; Chang-Chien, Ju; Tsai, Hui‐Ju; Yao, Tsung‐Chieh

doi:10.1016/j.waojou.2020.100127

Cited by 14 publications

(8 citation statements)

References 33 publications

(44 reference statements)

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“…Paternal age at birth was analyzed either as a continuous variable or as a categorical variable with four groups, including < 30 (reference group), 30–34, 35–39, and ≥ 40 years. The adjusted covariates were listed as follows: child’s age, sex, height, maternal age at birth, prematurity (gestational age less than 37 weeks), birth weight, cesarean delivery, birth order, physician-diagnosed asthma, parental university education, parental allergic diseases (physician-diagnosed asthma, allergic rhinitis or atopic dermatitis in mother, father or both), prenatal exposure to ETS (one or more household smokers during gestation), breastfeeding (exclusive or partial) longer than 6 months, and household income, which were similar to previous relevant studies [ 12 , 14 , 17 , 23 ]. We performed subgroup analysis, stratified by prenatal exposure to ETS and breastfeeding which were associated with lung function and FeNO in previous studies [ 24 – 29 ], to evaluate potential effect modifiers.…”

Section: Methodssupporting

confidence: 87%

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Association of advanced paternal age with lung function at school age

Gau

Lee

et al. 2022

Respir Res

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Background Epidemiological studies suggest that advanced paternal age impact offspring health, but its impact on respiratory health is unclear. This study aimed to investigate the association of paternal age with lung function and fraction of exhaled nitric oxide (FeNO) in children. Methods We analyzed data from 1330 single-born children (576 girls, 43.3%; mean age, 6.4 years), who participated in the Longitudinal Investigation of Global Health in Taiwanese Schoolchildren (LIGHTS) cohort and received measurements of lung function and FeNO at 6-year follow-up visits. Covariate-adjusted regression analyses were applied. Results Every 5-year increase in paternal age at birth was associated with 0.51% decrease in FEV1/FVC ratio (95% CI − 0.86 to − 0.15; p = 0.005) and 19.86 mL/s decrease in FEF75 (95% CI: − 34.07 to − 5.65; p = 0.006). Stratified analyses revealed that increasing paternal age at birth was associated with decreasing FEV1/FVC ratio and FEF75 only among children with prenatal exposure to environmental tobacco smoke (ETS) or not being breastfed. Sensitivity analyses using paternal age as a categorical variable found decreasing FEV1/FVC ratio and FEF75 in the groups of paternal age 35–39 and ≥ 40 years. There was no association of paternal age at birth with FeNO. Conclusion Our findings provide novel evidence linking advanced paternal age at birth with decreasing lung function in children at school age. Children with prenatal exposure to ETS or not being breastfed are more vulnerable to the adverse effect of advanced paternal age on childhood lung function. Further studies are warranted to confirm this novel adverse effect of advanced paternal age.

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Section: Methodssupporting

confidence: 87%

“…This study is a part of the Longitudinal Investigation of Global Health in Taiwanese Schoolchildren (LIGHTS) study, which is a population-based longitudinal cohort included 1513 children born during 2010-2011 in the Chang Gung Memorial Hospital [16][17][18][19]. The majority of these children lived in northwestern Taiwan.…”

Section: Subjectsmentioning

confidence: 99%

Association of advanced paternal age with lung function at school age

Gau

Lee

et al. 2022

Respir Res

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“…This study recruited 165 Asian children (92 stable asthmatic children and 73 non‐asthmatic controls) among participants aged 5‐7 years participating in the Longitudinal Investigation of Global Health in Taiwanese Schoolchildren (LIGHTS) cohort 17 . Among those, 165 study subjects were divided into two independent sets: a training set of 60 asthmatic children and 41 non‐asthmatic controls enrolled in 2016, and a validation set of 32 asthmatic children and 32 non‐asthmatic controls enrolled in 2017.…”

Section: Methodsmentioning

confidence: 99%

Metabolomic differences of exhaled breath condensate among children with and without asthma

Chang-Chien

Huang

Tsai

et al. 2020

Pediatric Allergy Immunology

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Background There remains an unmet need in objective tests for diagnosing asthma in children. The objective of this study was to investigate the potential of metabolomic profiles of exhaled breath condensate (EBC) to discriminate stable asthma in Asian children in the community. Methods One hundred and sixty‐five Asian children (92 stable asthma and 73 non‐asthmatic controls) participating in a population‐based cohort were enrolled and divided into training and validation sets. Nuclear magnetic resonance‐based metabolomic profiles of EBC samples were analyzed by using orthogonal partial least squares discriminant analysis. Results EBC metabolomic signature (lactate, formate, butyrate, and isobutyrate) had an area under the receiver operator characteristic curve (AUC) of 0.826 in discriminating children with and without asthma in the training set, which significantly outperformed FeNO (AUC = 0.574; P < .001) and FEV1/FVC % predicted (AUC = 0.569; P < .001). The AUC for EBC metabolomic signature was 0.745 in the validation set, which was slightly but not significantly lower than in the testing set (P = .282). We further extrapolated two potentially involved metabolic pathways, including pyruvate (P = 1.67 × 10−3; impact: 0.14) and methane (P = 1.89 × 10−3; impact: 0.15), as the most likely divergent metabolisms between children with and without asthma. Conclusion This study provided evidence supporting the role of EBC metabolomic signature to discriminate stable asthma in Asian children in the community, with a discriminative property outperforming conventional clinical tests such as FeNO or spirometry.

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“…The LIGHTS population-based cohort consists of 1513 children who were born in 2010 and 2011 and attended well-child visits and follow-up visits in the Chang Gung Memorial Hospital (CGMH). 20 , 21 , 22 After excluding multiple births ( n = 162) and missing data on asthma or atopy ( n = 8), 1343 children were included in the present study. The flow chart for the enrollment process of study subjects is shown in Fig.…”

Section: Methodsmentioning

confidence: 99%