title: [The association between socioeconomic indicators andadolescents'physical activity and health-related fitness].
abstract: OBJECTIVE
  This study was aimed at analysing the association between socioeconomic indicators and adolescents' physical activity and health-related fitness.
  
  
  METHODS
  The study involved 716 adolescents from both genders whose age ranged from 10 to 18 years-old (46.8% male) who answered a questionnaire for estimating their habitual physical activity, socioeconomic status; two health-related physical fitness tests were also performed. The socioeconomic indicators analysed concerned their parents' educational level and the number of bathrooms, TVs, cars, housemaids, refrigerators and freezers in their homes.
  
  
  RESULTS
  A positive association was found between paternal education (PR=1.61 (range 1.27-2.10) and 1.41 (1.10-1.83)) and housemaids (PR=1.97 (1.04-3.81) and 1.92 (1.05-3.52)) with recommended physical activity and leisure time physical activity, respectively. The number of cars (PR=1.48: 1.02-2.19) and freezers (PR=1.88: 1.12-3.18) was positively associated with leisure time physical activity and the number of TVs negatively so (PR=0.75: 0.63-0.89). The number of TVs (PR=0.80: 0.67-0.96) and cars (PR=0.70: 0.55-0.89) was negatively associated with cardiorespiratory fitness whilst paternal education (PR=1.17: 1.00-1.37) and the number of bathrooms in the home (PR=1.25: 1.02-1.54) were positively associated with muscular strength.
  
  
  CONCLUSIONS
  Physical activity and health-related physical fitness were associated with socioeconomic status. However, such association depended on the socioeconomic indicator being analysed. Caution should be taken when analysing studies which use different socioeconomic indicators.
authors.affiliation: Programa de Pós-Graduação, Associado em Educação Física UEM/UEL, Londrina, PR, Brasil.
authors.forename: Diogo H
authors.initials: DH
authors.lastname: Constantino-Coledam
authors.affiliation: Programa de Pós-Graduação, Associado em Educação Física UEM/UEL, Londrina, PR, Brasil.
authors.forename: Philippe Fanelli
authors.initials: PF
authors.lastname: Ferraiol
authors.affiliation: Programa de Pós-Graduação, Associado em Educação Física UEM/UEL, Londrina, PR, Brasil.
authors.forename: Gustavo Aires de
authors.initials: GA
authors.lastname: Arruda
authors.affiliation: Programa de Pós-Graduação, Associado em Educação Física UEM/UEL, Londrina, PR, Brasil.
authors.forename: Raymundo
authors.initials: R
authors.lastname: Pires-Júnior
authors.affiliation: Programa de Pós-Graduação, Associado em Educação Física UEM/UEL, Londrina, PR, Brasil.
authors.forename: Marcio
authors.initials: M
authors.lastname: Teixeira
authors.affiliation: Programa de Pós-Graduação, Associado em Educação Física UEM/UEL, Londrina, PR, Brasil.
authors.forename: João Paulo de Aguiar
authors.initials: JP
authors.lastname: Greca
authors.affiliation: Programa de Pós-Graduação, Associado em Educação Física UEM/UEL, Londrina, PR, Brasil.
authors.forename: Arli Ramos de
authors.initials: AR
authors.lastname: Oliveira
mesh_terms: D000293:Adolescent; D001938:Brazil; D002648:Child; D003430:Cross-Sectional Studies; D005260:Female; D006801:Humans; D008297:Male; D009043:Motor Activity; D010809:Physical Fitness; D012923:Social Class; D064890:Social Determinants of Health / Q000706:statistics & numerical data*; D012959:Socioeconomic Factors