Air pollution and hospitalizations in the largest Brazilian metropolis

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Citações na Scopus
23
Tipo de produção
article
Data de publicação
2017
Título da Revista
ISSN da Revista
Título do Volume
Editora
REVISTA DE SAUDE PUBLICA
Autores
CORRALLO, Flavia Prado
LEON, Antonio Carlos Ponce de
JUNGER, Washington
FREITAS, Clarice Umbelino de
Autor de Grupo de pesquisa
Citação
REVISTA DE SAUDE PUBLICA, v.51, article ID 117, 10p, 2017
Projetos de Pesquisa
Unidades Organizacionais
Fascículo
Resumo
OBJECTIVE: To evaluate the impact of air pollution on hospitalizations for respiratory and cardiovascular diseases in the largest Brazilian metropolis. METHODS: This study was carried out at the Metropolitan Region of Sao Paulo, Brazil. Environmental data were obtained from the network of monitoring stations of nine municipalities. Air pollution exposure was measured by daily means of PM10 (particles with a nominal mean aerodynamic diameter <= 10 mu m) per municipality, while daily counts of hospitalizations for respiratory and cardiovascular diseases within the Brazilian Unified Health System were the outcome. For each municipality a time series analysis was carried out in which a semiparametric Poisson regression model was the framework to explain the daily fluctuations on counts of hospitalizations over time. The results were combined in a meta-analysis to estimate the overall risk of PM10 in hospitalizations for respiratory and cardiovascular diseases at the Metropolitan Region of Sao Paulo. RESULTS: Regarding hospitalizations for respiratory diseases, the effect estimates were statistically significant (p < 0.05) for all municipalities, except Santo Andre and Taboao da Serra. The RR (Relative Risk) of this outcome for an increase of 10 mu g/m(3) in the levels of PM10 ranged from 1.011 (95% CI 1.009-1.013) for Sao Paulo to 1.032 (95% CI 1.024-1.040) in Sao Bernardo do Campo. The RR of hospitalization for respiratory diseases in children for an increase of 10 mu g/m(3) of PM10 ranged from 1.009 (95% CI 1.001-1.017) in Santo Andre to 1.077 (95% CI 1.056-1.098) in Maua. Only Sao Paulo and Sao Bernardo do Campo presented positive and statistically significant results for hospitalizations for cardiovascular diseases. CONCLUSIONS: This is the first study to estimate the risk of illness from air pollution in the set of municipalities of the Metropolitan Region of Sao Paulo, Brazil. Global estimates of the effect of exposure to pollution in the region indicated associations only with respiratory diseases. Only Sao Paulo and Sao Bernardo do Campo showed an association between the levels of PM10 and hospitalizations for cardiovascular diseases.
Palavras-chave
Air Pollution, adverse effects, Respiratory Diseases, epidemiology, Cardiovascular Diseases, epidemiology, Meta-analysis
Referências
  1. Amancio CT, 2014, SAO PAULO MED J, V132, P353, DOI 10.1590/1516-3180.2014.1326733
  2. Baccarelli A, 2008, ARCH INTERN MED, V168, P920, DOI 10.1001/archinte.168.9.920
  3. Carugno M, 2016, ENVIRON RES, V147, P415, DOI 10.1016/j.envres.2016.03.003
  4. Chiarelli PS, 2011, ENVIRON RES, V111, P650, DOI 10.1016/j.envres.2011.04.007
  5. Nascimento LFC, 2012, CAD SAUDE PUBLICA, V28, P1319, DOI 10.1590/S0102-311X2012000700010
  6. Barbosa SMD, 2015, CAD SAUDE PUBLICA, V31, P265, DOI 10.1590/0102-311X00013214
  7. DERSIMONIAN R, 1986, CONTROL CLIN TRIALS, V7, P177, DOI 10.1016/0197-2456(86)90046-2
  8. Evo CPR, 2011, ARQ BRAS CIENC SAUDE, V36, P6
  9. Freitas CU, 2013, EPIDEMIOL SERV SAUDE, V22, P445
  10. Gouveia N, 2004, J EPIDEMIOL COMMUN H, V58, P11, DOI 10.1136/jech.58.1.11
  11. Gouveia Nelson, 2006, Cad. Saúde Pública, V22, P2669, DOI 10.1590/S0102-311X2006001200016
  12. Guo YM, 2010, SCI TOTAL ENVIRON, V408, P4446, DOI 10.1016/j.scitotenv.2010.06.042
  13. Lima Thaiza Agostini Córdoba de, 2014, Rev. Ambient. Água, V9, P27, DOI 10.4136/ambi-agua.1262
  14. Lin CA, 2004, BRAZ J MED BIOL RES, V37, P765, DOI 10.1590/S0100-879X2004000500019
  15. Medeiros A, 2005, REV SAUDE PUBL, V39, P965, DOI 10.1590/s0034-89102005000600015
  16. Negrete BR, 2010, ARQ BRAS CIENC SAUDE, V35, P208
  17. Nicolussi FH, 2014, REV SAUDE PUBL, V48, P326, DOI 10.1590/S0034-8910.2014048004940
  18. Poursafa P, 2011, BMC PUBLIC HEALTH, V11, DOI 10.1186/1471-2458-11-115
  19. Romao R, 2013, CAD SAUDE PUBLICA, V29, P1101, DOI 10.1590/S0102-311X2013000600007
  20. Santos UP, 2008, J EPIDEMIOL COMMUN H, V62, P267, DOI 10.1136/jech.2006.058123
  21. Schwartz J, 2000, EPIDEMIOLOGY, V11, P320, DOI 10.1097/00001648-200005000-00016
  22. Valentim LSO, 2011, BEPA B EPIDEMIOL PAU, V8, P27
  23. Yanagi Y, 2012, CAD SAUDE PUBLICA, V28, P1737, DOI 10.1590/S0102-311X2012000900012