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Air pollution and its impacts on health in Vitoria, Espirito Santo, Brazil

Overview of attention for article published in Revista de saúde pública, January 2016
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Air pollution and its impacts on health in Vitoria, Espirito Santo, Brazil
Published in
Revista de saúde pública, January 2016
DOI 10.1590/s1518-8787.2016050005909
Pubmed ID

Freitas, Clarice Umbelino de, Leon, Antonio Ponce de, Juger, Washington, Gouveia, Nelson


OBJECTIVE To analyze the impact of air pollution on respiratory and cardiovascular morbidity of children and adults in the city of Vitoria, state of Espirito Santo. METHODS A study was carried out using time-series models via Poisson regression from hospitalization and pollutant data in Vitoria, ES, Southeastern Brazil, from 2001 to 2006. Fine particulate matter (PM10), sulfur dioxide (SO2), and ozone (O3) were tested as independent variables in simple and cumulative lags of up to five days. Temperature, humidity and variables indicating weekdays and city holidays were added as control variables in the models. RESULTS For each increment of 10 µg/m3 of the pollutants PM10, SO2, and O3, the percentage of relative risk (%RR) for hospitalizations due to total respiratory diseases increased 9.67 (95%CI 11.84-7.54), 6.98 (95%CI 9.98-4.17) and 1.93 (95%CI 2.95-0.93), respectively. We found %RR = 6.60 (95%CI 9.53-3.75), %RR = 5.19 (95%CI 9.01-1.5), and %RR = 3.68 (95%CI 5.07-2.31) for respiratory diseases in children under the age of five years for PM10, SO2, and O3, respectively. Cardiovascular diseases showed a significant relationship with O3, with %RR = 2.11 (95%CI 3.18-1.06). CONCLUSIONS Respiratory diseases presented a stronger and more consistent relationship with the pollutants researched in Vitoria. A better dose-response relationship was observed when using cumulative lags in polynomial distributed lag models.

Mendeley readers

The data shown below were compiled from readership statistics for 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 101 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 19 19%
Researcher 14 14%
Student > Bachelor 12 12%
Student > Ph. D. Student 8 8%
Student > Doctoral Student 8 8%
Other 18 18%
Unknown 22 22%
Readers by discipline Count As %
Medicine and Dentistry 18 18%
Engineering 13 13%
Environmental Science 13 13%
Social Sciences 5 5%
Chemistry 4 4%
Other 22 22%
Unknown 26 26%