Association between phthalate exposure and risk of allergic rhinitis in children: A systematic review and meta-analysis.
Yeonghun OhSoo-Jong HongYong Joo ParkIn-Hwan BaekPublished in: Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology (2024)
Phthalates are ubiquitous in diverse environments and have been linked to a myriad of detrimental health outcomes. However, the association between phthalate exposure and allergic rhinitis (AR) remains unclear. To address this knowledge gap, we conducted a systematic review and meta-analysis to comprehensively evaluate the relationship between phthalate exposure and childhood AR risk. We searched the Cumulative Index to Nursing and Allied Health Literature, Excerpta Medica Database, and PubMed to collect relevant studies and estimated pooled odds ratios (OR) and 95% confidence intervals (CI) for risk estimation. Ultimately, 18 articles, including seven cross-sectional, seven case-control, and four prospective cohort studies, were selected for our systematic review and meta-analysis. Our pooled data revealed a significant association between di-2-ethylhexyl phthalate (DEHP) exposure in children's urine and AR risk (OR = 1.188; 95% CI = 1.016-1.389). Additionally, prenatal exposure to combined phthalates and their metabolites in maternal urine was significantly associated with the risk of childhood AR (OR = 1.041; 95% CI = 1.003-1.081), although specific types of phthalates and their metabolites were not significant. Furthermore, we examined environmental phthalate exposure in household dust and found no significant association with AR risk (OR = 1.021; 95% CI = 0.980-1.065). Our findings underscore the potential hazardous effects of phthalates on childhood AR and offer valuable insights into its pathogenesis and prevention.
Keyphrases
- allergic rhinitis
- healthcare
- case control
- cross sectional
- young adults
- human health
- risk assessment
- pregnant women
- ms ms
- machine learning
- emergency department
- electronic health record
- early life
- physical activity
- body mass index
- preterm birth
- health risk assessment
- social media
- quality improvement
- single cell
- data analysis
- polycyclic aromatic hydrocarbons