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Cited by 79Air Quality and Health ImpactsIndoor Air Quality and Microbial ExposureEnergy and Environment Impacts

Acute Effects of Particulate Matter and Black Carbon from Seasonal Fires on Peak Expiratory Flow of Schoolchildren in the Brazilian Amazon

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Jacobson, Ludmilla da Silva Viana, Hacon, Sandra de Souza, Castro, Hermano Albuquerque de, Ignotti, Eliane, Artaxo, Paulo, Saldiva, Paulo Hilário Nascimento, de Leon, Antonio Carlos Monteiro Ponce·2014·PLoS ONE
DOI 10.1371/journal.pone.0104177PMC PMC4131919
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Abstract

BACKGROUND: Panel studies have shown adverse effects of air pollution from biomass burning on children's health. This study estimated the effect of current levels of outdoor air pollution in the Amazonian dry season on peak expiratory flow (PEF). METHODS: A panel study with 234 schoolchildren from 6 to 15 years old living in the municipality of Tangará da Serra, Brazil was conducted. PEF was measured daily in the dry season in 2008. Mixed-effects models and unified modelling repeated for every child were applied. Time trends, temperature, humidity, and subject characteristics were regarded. Inhalable particulate matter (PM10), fine particulate matter (PM2.5), and black carbon (BC) effects were evaluated based on 24-hour exposure lagged by 1 to 5 days and the averages of 2 or 3 days. Polynomial distributed lag models (PDLM) were also applied. RESULTS: The analyses revealed reductions in PEF for PM10 and PM2.5 increases of 10 µg/m(3) and 1 µg/m(3) for BC. For PM10, the reductions varied from 0.15 (confidence interval (CI)95%: -0.29; -0.01) to 0.25 l/min (CI95%: -0.40; -0.10). For PM2.5, they ranged from 0.46 (CI95%: -0.86 to -0.06) to 0.54 l/min (CI95%:-0.95; -0.14). As for BC, the reduction was approximately 1.40 l/min. In relation to PDLM, adverse effects were noticed in models based on the exposure on the current day through the previous 3 days (PDLM 0-3) and on the current day through the previous 5 days (PDLM 0-5), specially for PM10. For all children, for PDLM 0-5 the global effect was important for PM10, with PEF reduction of 0.31 l/min (CI95%: -0.56; -0.05). Also, reductions in lags 3 and 4 were observed. These associations were stronger for children between 6 and 8 years old. CONCLUSION: Reductions in PEF were associated with air pollution, mainly for lagged exposures of 3 to 5 days and for younger children.

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  1. [1]Pope CA, Dockery DW (2006) Health Effects of Fine Particulate Air Pollution: Lines that Connect. J Air & Waste Manage Assoc 56: 709– 742. 16805397
  2. [2]WHO (World Health Organization) (2005) Air quality guidelines for particulate matter, ozone, nitrogen dioxide and sulfur dioxide. Global update 2005. Summary of risk assessment. Geneva. 34662007
  3. [3]Cohen AJ, Anderson HR, Ostro B, Pandey KD, Krzyzanowski M, et al.. (2004) Urban Air Pollution. In: Ezzati M, Lopez AD, Rodgers A, Murray CJL. Comparative Quantificatio Of Health Risks. Global and Regional Burden of Disease Attributable to Selected Major Risk Factors. Vol. 2, Chapter: 17.
  4. [4]Jedrychowski WA, Perera FP, Maugeri U, Mroz E, Klimaszewska-Rembiasz M, et al (2010) Effect of prenatal exposure to fine particulate matter on ventilatory lung function of preschool children of non-smoking mothers. Paediatr Perinat Epidemiol 24(5): 492– 501. 20670230 PMC3761386
  5. [5]Castro HA, Cunha MF, Mendonça GAS, Junger WL, Cunha-Cruz J, et al (2009) Effect of air pollution on lung function in schoolchildren in Rio de Janeiro, Brazil. Rev Saúde Públ 43: 26– 34. 19169573
  6. [6]Gotschi T, Heinrich J, Sunyer J, Kunzli N (2008) Long-Term Effects of Ambient Air Pollution on Lung Function: A Review. Epidemiol 19: 690– 701. 18703932
  7. [7]Escamilla-Nuñez MC, Barraza-Villarreal A, Hernandez-Cadena L, Moreno-Macias H, Ramirez-Aguilar M, et al (2008) Traffic-related air pollution and respiratory symptoms among asthmatic children, resident in Mexico City: the EVA cohort study. Respir Res 9: 74. 19014608 PMC2613139
  8. [8]Epton MJ, Dawson RD, Brooks WM, Kingham S, Aberkane T, et al (2008) The effect of ambient air pollution on respiratory health of school children: a panel study. Environ Health 7: 16. 18479529 PMC2427023
  9. [10]Jacobson LSV, Hacon SS, Castro HA, Ignotti E, Artaxo P, et al (2012) Association between fine particulate matter and the peak expiratory flow of schoolchildren in the Brazilian subequatorial Amazon: a panel study. Environ Res 117: 27– 35. 22683314
  10. [11]Sisenando HA, Batistuzzo de MedeirosSR, Artaxo P, Saldiva PH, Hacon SS (2012) Micronucleus frequency in children exposed to biomass burning in the Brazilian Legal Amazon region: a control case study. BMC Oral Health 12: 6. 22400801 PMC3328270
  11. [12]Ignotti E, Hacon SS, Junger WL, Mourão D, Longo K, et al (2010) Air pollution and hospital admissions for respiratory diseases in the subequatorial Amazon: a time series approach. Cad Saude Publica 26(4): 747– 61. 20512215
  12. [13]Carmo CN, Hacon S, Longo KM, Freitas S, Ignotti E, et al (2010) Association between particulate matter from biomass burning and respiratory diseases in the southern region of the Brazilian Amazon. Rev Panam Salud Publica 27(1): 10– 6. 20209226
  13. [14]Silva AMC, Mattos IE, Freitas SR, Longo KM, Hacon SS (2010) Material particulado (PM2.5) de queima de biomassa e doenças respiratórias no sul da Amazônia brasileira. Rev Bras Epidemiol 13(2): 337– 51.
  14. [15]Mascarenhas MDM, Vieira LC, Lanzieri TM, Leal APPR, Duarte AF, et al (2008) Poluição atmosférica devido à queima de biomassa florestal e atendimentos de emergência por doença respiratória em Rio Branco, Brasil – setembro, 2005. J Bras Pneumol 34: 42– 46. 18278375
  15. [19]Lin W, Huang W, Zhu T, Hu M, Brunekreef B, et al (2011) Acute respiratory inflammation in children and black carbon in ambient air before and during the 2008 Beijing Olympics. Environ Health Perspect 119(10): 1507– 12. 21642045 PMC3230448
  16. [20]Malloy EJ, Morris JS, Adar SD, Suh H, Gold DR, et al (2010) Wavelet-based functional linear mixed models: an application to measurement error–corrected distributed lag models. Biostatistics 11(3): 432– 452. 20156988 PMC2883305
  17. [21]Gold DR, Damokosh AI, Pope CA 3rd, Dockery DW, McDonnell WF, et al (1999) Particulate and ozone pollutant effects on the respiratory function of children in southwest Mexico City. Epidemiol 10(1): 8– 16. 9888274
  18. [22]Oliveira BF, Ignotti E, Artaxo P, Saldiva PH, Junger WL, et al (2012) Risk assessment of PM2.5 to child residents in Brazilian Amazon region with biofuel production. Environ Health 11(1): 64. 22978271 PMC3465199
  19. [23]American Thoracic Society (1995) Standardization of Spirometry. Am J Respir Crit Care Med 152: 1107– 1136. 7663792
  20. [25]Snijders TAB, Bosker RJ (1999) Multilevel Analysis: An Introduction to basic and advanced multilevel modeling. SAGE Publications, pgs 261.
  21. [26]Schwartz J (2000) The Distributed Lag between Air Pollution and Daily Deaths. Epidemiol 11(3): 320– 326. 10784251
  22. [29]Roemer W, Hoek G, Brunekreef B, Haluszka J, Kalandidi A, et al (1998) Daily variations in air pollution and respiratory health in a multicentre study: the PEACE project. Pollution Effects on Asthmatic Children in Europe. Eur Respir J 12(6): 1354– 61. 9877490
  23. [30]Riguera D, Andre PA, Zanetta DMT (2011) Poluição da queima de cana e sintomas respiratórios em escolares de Monte Aprazível, SP. Rev Saúde Pública 45(5): 878– 886. 21829978
  24. [31]Ward DJ, Ayres JG (2004) Particulate air pollution and panel studies in children: a systematic review. Occup Environ Med 61(4): e13. 15031404 PMC1740745
  25. [32]Weinmayr G, Romeo E, De Sario M, Weiland SK, Forastiere F (2010) Short-Term Effects of PM10 and NO2 on Respiratory Health among Children with Asthma or Asthma-like Symptoms: A Systematic Review and Meta-Analysis. Environ Health Perspect 118: 449– 457. 20064785 PMC2854719
  26. [33]Li S, Williams G, Jalaludin B, Baker P (2012) Panel Studies of Air Pollution on Children's Lung Function and Respiratory Symptoms: A Literature Review. J Asthma 49(9): 895– 910. 23016510
  27. [34]Xu Z, Etzel RA, Su H, Huang C, Guo Y, et al (2012) Impact of ambient temperature on children's health: a systematic review. Environ Res 117: 120– 31. 22831555
  28. [35]Davidson EA, de Araújo AC, Artaxo P, Balch JK, Brown IF, et al (2012) The Amazon basin in transition. Nature 481(7381): 321– 8. 22258611

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Authors
Jacobson, L. D. S. V., Hacon, S. D. S., Castro, H. A. D., Ignotti, E., Artaxo, P., Saldiva, P. H. N., & de Leon, A. C. M. P.
Affiliations
  • Universidade Federal Fluminense (BR)
  • Escola Nacional de Saúde Pública Sergio Arouca (BR)
  • Universidade do Estado de Mato Grosso (BR)
  • Universidade de São Paulo (BR)
Corresponding author
Jacobson, Ludmilla da Silva Viana
ORCID
Venue
PLoS ONE
Publisher
Public Library of Science (PLoS)
Published
2014-08-13
Volume
9
Issue
8
Pages
e104177
ISSN
1932-6203 (ISSN-L)
DOI
10.1371/journal.pone.0104177
PMC
PMC4131919
OpenAlex
W2084383882
Cited by
79
References
0
Citations by year
2026: 2 · 2025: 5 · 2024: 2 · 2023: 8 · 2022: 12 · 2021: 13 · 2020: 5 · 2019: 10 · 2018: 4 · 2017: 4 · 2016: 6 · 2015: 7 · 2013: 1
FWCI
3.44
Type
journal article
Language
en
Open access
Licence
Locations
  • PLoS ONE (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (publishedVersion, other-oa)
  • Americanae (AECID Library) (submittedVersion, other-oa)
  • Arca - Repositório Institucional da Fiocruz (submittedVersion, other-oa)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • Fundação de Amparo à Pesquisa do Estado de São Paulo (08/57719-9)
  • Governo Brasil
  • Conselho Nacional de Desenvolvimento Científico e Tecnológico (573797/2008-0, 555223/2006-0, 2008/57719-9, 2010-3)
  • Fundação de Amparo à Pesquisa do Estado de Mato Grosso
  • Universidade Federal do Rio de Janeiro
Topics
  • Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Air Quality and Health Impacts
  • Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Indoor Air Quality and Microbial Exposure
  • Physical Sciences › Environmental Science › Pollution › Energy and Environment Impacts
Keywords
particulate matter, black carbon, biomass burning, peak expiratory flow, elementary school students, respiratory health, air pollution exposure, PM10, PM2.5, dry season, Amazon
MeSH terms
Adolescent, Air Pollutants, Brazil, Child, Environmental Monitoring, Fires, Humans, Particle Size, Pulmonary Ventilation, Time Factors, Particulate Matter

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