An approach to using heart rate monitoring to estimate the ventilation and load of air pollution exposure

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dc.contributor.author Cozza, Izabela Campos
dc.contributor.author Trevisan Zanetta, Dirce Maria
dc.contributor.author Arrabal Fernandes, Frederico Leon
dc.contributor.author Monteiro da Rocha, Francisco Marcelo [UNIFESP]
dc.contributor.author Andre, Paulo Afonso de
dc.contributor.author Bueno Garcia, Maria Lucia
dc.contributor.author Paceli, Renato Batista
dc.contributor.author Prado, Gustavo Faibischew
dc.contributor.author Terra-Filho, Mario
dc.contributor.author Nascimento Saldiva, Paulo Hilario do
dc.contributor.author Santos, Ubiratan de Paula
dc.date.accessioned 2016-01-24T14:40:35Z
dc.date.available 2016-01-24T14:40:35Z
dc.date.issued 2015-07-01
dc.identifier http://dx.doi.org/10.1016/j.scitotenv.2015.03.049
dc.identifier.citation Science of the Total Environment. Amsterdam: Elsevier B.V., v. 520, p. 160-167, 2015.
dc.identifier.issn 0048-9697
dc.identifier.uri http://repositorio.unifesp.br/handle/11600/39152
dc.description.abstract Background: the effects of air pollution on health are associated with the amount of pollutants inhaled which depends on the environmental concentration and the inhaled air volume. It has not been clear whether statistical models of the relationship between heart rate and ventilation obtained using laboratory cardiopulmonary exercise test (CPET) can be applied to an external group to estimate ventilation.Objectives: To develop and evaluate a model to estimate respiratory ventilation based on heart rate for inhaled load of pollutant assessment in field studies.Methods: Sixty non-smoking men; 43 public street workers (public street group) and 17 employees of the Forest Institute (park group) performed a maximum cardiopulmonary exercise test (CPET). Regression equation models were constructed with the heart rate and natural logarithmic of minute ventilation data obtained on CPET. Ten individuals were chosen randomly (public street group) and were used for external validation of the models (test group). All subjects also underwent heart rate register, and particulate matter (PM2.5) monitoring for a 24-hour period.Results: for the public street group, the median difference between estimated and observed data was 0.5 (CI 95% -0.2 to 1.4) l/min and for the park group was 0.2 (CI 95% -0.2 to 1.2) l/min. in the test group, estimated values were smaller than the ones observed in the CPET, with a median difference of -2.4 (CI 95% -4.2 to -1.8) l/min. the mixed model estimated values suggest that this model is suitable for situations in which heart rate is around 120-140 bpm.Conclusion: the mixed effect model is suitable for ventilation estimate, with good accuracy when applied to homogeneous groups, suggesting that, in this case, the model could be used in field studies to estimate ventilation. A small but significant difference in the median of external validation estimates was observed, suggesting that the applicability of the model to external groups needs further evaluation. (C) 2015 Elsevier B.V. All rights reserved. en
dc.description.sponsorship Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.format.extent 160-167
dc.language.iso eng
dc.publisher Elsevier B.V.
dc.relation.ispartof Science of the Total Environment
dc.rights Acesso restrito
dc.subject Air pollution en
dc.subject Ventilation en
dc.subject Heart rate en
dc.subject Inhaled load estimate en
dc.subject Personal exposure en
dc.title An approach to using heart rate monitoring to estimate the ventilation and load of air pollution exposure en
dc.type Artigo
dc.rights.license http://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy
dc.contributor.institution Universidade de São Paulo (USP)
dc.contributor.institution Universidade Federal de São Paulo (UNIFESP)
dc.description.affiliation Univ São Paulo, Sch Med, Heart Inst Incor, Div Pulm,Hosp Clin, BR-05508 São Paulo, Brazil
dc.description.affiliation Univ São Paulo, Sch Publ Hlth, Dept Epidemiol, BR-05508 São Paulo, Brazil
dc.description.affiliation UNIFESP, Inst Sci & Technol, Sao Jose Dos Campos, SP, Brazil
dc.description.affiliation Univ São Paulo, Expt Lab Atmospher Pollut, Dept Pathol, Sch Med, BR-05508 São Paulo, Brazil
dc.description.affiliation Univ São Paulo, Dept Clin Med, Sch Med, BR-05508 São Paulo, Brazil
dc.description.affiliation Univ São Paulo, Dept Pathol, Sch Med, BR-05508 São Paulo, Brazil
dc.description.affiliationUnifesp UNIFESP, Inst Sci & Technol, Sao Jose Dos Campos, SP, Brazil
dc.description.sponsorshipID CNPq: Edital 18. Processo CNPq 555223/2006-0
dc.identifier.doi 10.1016/j.scitotenv.2015.03.049
dc.description.source Web of Science
dc.identifier.wos WOS:000353509500018



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