title: Clustering of Physical Inactivity in Leisure, Work, Commuting, and Household Domains: Data From 47,477 Industrial Workers in Brazil.
abstract: BACKGROUND
  Physical inactivity in each domain (leisure, work, commuting, and household) is not completely independent. This study aimed to describe the clustering of physical inactivity in different domains and its association with sociodemographic factors among Brazilian industrial workers.
  
  
  METHODS
  This was a cross-sectional, population-based study using data from 23 Brazilian states and the Federal District collected via questionnaires between 2006 and 2008. Physical inactivity in each domain was defined as nonparticipation in specific physical activities. Clustering of physical inactivity was identified using the ratio of the observed (O) and expected (E) percentages of each combination. Multinomial logistic regression was used to identify sociodemographic factors with the outcome.
  
  
  RESULTS
  Among the 44,477 interviewees, most combinations exceeded expectations, particularly the clustering of physical inactivity in all domains among men (O/E = 1.37; 95% CI: 1.30; 1.44) and women (O/E = 1.47; 95% CI: 1.36; 1.60). Physical inactivity in 2 or more domains was observed more frequently in women, older age groups, individuals living without a partner, and those with higher education and income levels.
  
  
  CONCLUSIONS
  Physical inactivity tends to be observed in clusters regardless of gender. Women and workers with higher income levels were the main factors associated with to be physically inactive in 2 or more domains.
authors.affiliation: School of Physical Education, Federal University of Santa Catarina, Florianópolis, Santa Catarina, Brazil.
authors.forename: Giovâni F
authors.initials: GF
authors.lastname: Del Duca
authors.forename: Leandro Martin Totaro
authors.initials: LM
authors.lastname: Garcia
authors.forename: Shana Ginar
authors.initials: SG
authors.lastname: da Silva
authors.forename: Kelly Samara
authors.initials: KS
authors.lastname: da Silva
authors.forename: Elusa S
authors.initials: ES
authors.lastname: Oliveira
authors.forename: Mauro V
authors.initials: MV
authors.lastname: Barros
authors.forename: Markus V
authors.initials: MV
authors.lastname: Nahas
mesh_terms: D000328:Adult; D001938:Brazil; D016000:Cluster Analysis; D003430:Cross-Sectional Studies; D005191:Family Characteristics; D005260:Female; D006801:Humans; D007899:Leisure Activities; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D009043:Motor Activity; D057185:Sedentary Behavior; D012959:Socioeconomic Factors; D011795:Surveys and Questionnaires; D014186:Transportation; D014937:Work