title: [Prevalence of respiratory symptoms in areas of the Federal District, Brazil].
abstract: The identification of individuals with respiratory symptoms (RS) is important for the early detection of tuberculosis. The aim of this study was to estimate the prevalence of RS in three administrative regions of the Federal District, Brazil. For this, we used the 30 by 7 cluster sampling technique proposed by the World Health Organization. Individuals with RS were defined as those aged 15 years or older living in the administrative regions of Estrutural, Itapoã, or Varjão and reporting a cough lasting at least 3 weeks at the date of the interview. The prevalence of RS was 5.7% in Estrutural and Varjão (95% CI: 2.4-9.0) and 4.8% in Itapoã (95%CI: 1.6-7.9), with a design effect close to 1.0. In Estrutural and Itapoã, fewer years of schooling, and in Itapoã and Varjão, lower income, were associated with RS. Cigarette smoking was associated with the presence of RS in all regions. The prevalence of RS in the three administrative regions investigated is consistent with that of other areas with a similar socioeconomic profile.
authors.affiliation: Programa de Treinamento em Epidemiologia Aplicada aos Serviços do SUS, Secretaria de Vigilância em Saúde, Ministério da Saúde, Brasília, DF, Brasil. felipe.freitas@saude.gov.br
authors.forename: Felipe Teixeira de Mello
authors.initials: FT
authors.lastname: Freitas
authors.forename: Renata Tiene de Carvalho
authors.initials: RT
authors.lastname: Yokota
authors.forename: André Peres Barbosa
authors.initials: AP
authors.lastname: de Castro
authors.forename: Silvânia Suely Caribé de Araújo
authors.initials: SS
authors.lastname: Andrade
authors.forename: Gilmara Lima
authors.initials: GL
authors.lastname: Nascimento
authors.forename: Noely Fabiana Oliveira
authors.initials: NF
authors.lastname: de Moura
authors.forename: Amanda Priscila de Santana
authors.initials: AP
authors.lastname: Cabral
authors.forename: Cristine Nascente
authors.initials: CN
authors.lastname: Igansi
authors.forename: Márcia de Cantuária
authors.initials: Mde C
authors.lastname: Tauil
authors.forename: Patrícia Marques
authors.initials: PM
authors.lastname: Ferreira
authors.forename: Carina Guedes
authors.initials: CG
authors.lastname: Ramos
authors.forename: Carolina Monteiro
authors.initials: CM
authors.lastname: da Costa
authors.forename: Lacita Menezes
authors.initials: LM
authors.lastname: Skalinski
authors.forename: Marcelo Augusto Nunes
authors.initials: MA
authors.lastname: Medeiros
authors.forename: Daniel
authors.initials: D
authors.lastname: Marques
authors.forename: Eduardo Stramandinoli
authors.initials: ES
authors.lastname: Moreno
authors.forename: Gerrita de Cássia Nogueira
authors.initials: Gde C
authors.lastname: Figueira
authors.forename: João
authors.initials: J
authors.lastname: Fred
authors.forename: Joana da Felicidade Ribeiro
authors.initials: Jda F
authors.lastname: Favacho
authors.forename: Rita de Cássia Farah
authors.initials: Rde C
authors.lastname: Costa
authors.forename: Eduardo Marques
authors.initials: EM
authors.lastname: Macário
authors.forename: Aglaêr Alves
authors.initials: AA
authors.lastname: da Nóbrega
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D001938:Brazil / Q000453:epidemiology; D016000:Cluster Analysis; D003371:Cough / Q000453:epidemiology*; D042241:Early Diagnosis; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D015995:Prevalence; D012907:Smoking / Q000453:epidemiology; D012959:Socioeconomic Factors; D014376:Tuberculosis / Q000175:diagnosis / Q000453:epidemiology; D014504:Urban Health / Q000706:statistics & numerical data; D055815:Young Adult