Pesticide exposure and asthma morbidity in children residing in urban, multi-family housing

被引:3
|
作者
Werthmann, Derek W. [1 ]
Rabito, Felicia A. [1 ]
Adamkiewicz, Gary [2 ]
Reponen, Tiina [3 ]
Calafat, Antonia M. [4 ]
Ospina, Maria [4 ]
Chew, Ginger L. [5 ]
机构
[1] Tulane Univ, Sch Publ Hlth & Trop Med, New Orleans, LA 70118 USA
[2] Harvard, TH Chan Sch Publ Hlth, Boston, MA USA
[3] Univ Cincinnati, Dept Environm & Publ Hlth Sci, Cincinnati, OH USA
[4] CDCP, Natl Ctr Environm Hlth, Div Lab Sci, Atlanta, GA USA
[5] CDCP, Natl Ctr Environm Hlth, Div Environm Hlth Sci & Practice, Atlanta, GA USA
关键词
Pesticides; Asthma; Pyrethroids; Organophosphorous; 2; 4-D; EXHALED NITRIC-OXIDE; RESIDENTIAL EXPOSURE; HEALTH; RISK; ORGANOPHOSPHORUS; PYRETHROIDS; METABOLITES; HERBICIDES; CHILDHOOD; QUALITY;
D O I
10.1038/s41370-023-00524-2
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
BackgroundChildren are potentially more susceptible to the adverse effects of pesticides due to more sensitive organ systems and lower capacity to metabolize and eliminate chemicals compared to adults. The health risks are particularly concerning children with asthma, living in low-income neighborhoods in multi-family housing because of their impaired respiratory health, and factors associated with low-income, multi-family environments.ObjectiveTo assess the association between pesticide exposure and asthma morbidity among children 7-12 years residing in low-income, multi-family housing.MethodsThe concentrations of seven urinary pesticide biomarkers: 3,5,6-trichloro-2-pyridinol (TCPy), 2-isopropyl-4-methyl-6-hydroxypyrimidine, para-nitrophenol (PNP), 3-phenoxybenzoic acid (3-PBA), 4-fluoro-3-phenoxybenzoic acid, trans-3-(2,2-dichlorovinyl)-2,2-dimethyl-cyclopropane-1-carboxylic acid, and 2,4-dichlorophenoxyacetic acid (2,4-D) were measured. Children (n = 162) were followed for one year with three measures of pesticides biomarkers. Associations between individual biomarkers and asthma attack, asthma related health care utilization, and fraction of exhaled nitric oxide (FeNO), adjusting for demographic and household factors were examined with Generalized Estimating Equations (GEE). Weighted Quantile Sum (WQS) regression was used to examine the effect of pesticide mixture on asthma attacks and asthma-related health care utilization (HCU).ResultsIn adjusted GEE models, positive non-significant associations were found between PNP and HCU (adjusted Odds Ratio(aOR):2.05 95% CI:0.76-5.52) and null associations for 3-PBA and HCU (aOR:1.07 95% CI: 0.88-1.29). Higher concentrations of PNP and 2,4-D were associated with significantly lower FeNO levels (PNP: -17.4%; 2,4-D:-19.74%). The mixture was positively associated with HCU in unadjusted (OR: 1.56 97.5% CI: 1.08-2.27) but not significant in adjusted models (aOR: 1.40 97.5% CI: .86-2.29). The non-specific pyrethroid biomarker 3-PBA at baseline contributed the greatest weight to the index (45%).SignificanceThere were non-significant associations between pesticide biomarkers and respiratory outcomes in children with asthma. There was a suggestive association between urinary pesticide biomarkers and HCU. Further studies with larger sample sizes could help to confirm these findings.Impact statementPesticide exposure among children in the urban environment is ubiquitous and there is a dearth of information on the impact of low-level chronic exposure in vulnerable populations. This study suggested that pesticide exposure at concentrations below the national average may not affect asthma morbidity in children. However, different biomarkers of pesticides showed different effects, but the mixture suggested increasing pesticide exposure results in asthma related HCU. The results may show that children with asthma may be at risk for negative health outcomes due to pesticides and the need to further examine this relationship.
引用
收藏
页码:241 / 250
页数:10
相关论文
共 50 条
  • [31] Toward Preference of Energy Consumption Information in Multi-Family Housing Complexes
    Yoo, Yoon-Sik
    Lee, Il-Woo
    2013 INTERNATIONAL CONFERENCE ON ICT CONVERGENCE (ICTC 2013): FUTURE CREATIVE CONVERGENCE TECHNOLOGIES FOR NEW ICT ECOSYSTEMS, 2013, : 791 - 793
  • [32] Attempt to Continue the Modernist Trend Presented on the Example of Multi-Family Housing
    Raczynski, Milosz
    3RD WORLD MULTIDISCIPLINARY CIVIL ENGINEERING, ARCHITECTURE, URBAN PLANNING SYMPOSIUM (WMCAUS 2018), 2019, 471
  • [33] The Relationship Between School Quality and US Multi-family Housing Rents
    Gabe, Jeremy
    Robinson, Spenser
    Sanderford, Andrew
    JOURNAL OF REAL ESTATE FINANCE AND ECONOMICS, 2022, 64 (04): : 615 - 645
  • [34] Functional Formulas for Multi-family Housing: Finding the Value of f(x)
    Seungteak, Lee
    SPACE, 2020, (629): : 90 - 91
  • [35] Changes in Environmental Tobacco Smoke Exposure and Asthma Morbidity Among Urban School Children
    Gerald, Lynn B.
    Gerald, Joe K.
    Gibson, Linda
    Patel, Karna
    Zhang, Sijian
    McClure, Leslie A.
    CHEST, 2009, 135 (04) : 911 - 916
  • [36] Resident awareness and occupancy behavior for sound environment in multi-family housing
    Abe, Kyoko
    Inoue, Katsuo
    Journal of Environmental Engineering, 2009, 74 (640) : 667 - 673
  • [37] Generative BIM Automation Strategies for Prefabricated Multi-Family Housing Design
    Ostrowska-Wawryniuk, Karolina
    Nazar, Krzysztof
    ECAADE 2018: COMPUTING FOR A BETTER TOMORROW, VO 1, 2018, : 247 - 256
  • [38] Multi-Family Housing Environment and Physical Activity: A Systematic Review of the Literature
    Hegde, Manasa Vigneshwar
    Park, Seokyung
    Zhu, Xuemei
    Lee, Chanam
    AMERICAN JOURNAL OF HEALTH PROMOTION, 2024,
  • [39] Missed sleep and asthma morbidity in urban children
    Daniel, Lauren C.
    Boergers, Julie
    Kopel, Sheryl J.
    Koinis-Mitchell, Daphne
    ANNALS OF ALLERGY ASTHMA & IMMUNOLOGY, 2012, 109 (01) : 41 - 46
  • [40] DAYLIGHT AVAILABILITY AND OCCUPANT VISUAL COMFORT IN SEATTLE MULTI-FAMILY HOUSING
    Jil, Guanzhou
    2020 ASHRAE BUILDING PERFORMANCE ANALYSIS CONFERENCE AND SIMBUILD, 2020, : 93 - 102