title: Correlates of US adult physical activity and sedentary behavior patterns.
abstract: OBJECTIVE
  Physical activity and sedentary behavior patterns may be differentially associated with socio-demographic and health measures. We explored correlates of day-to-day patterns over a week in accelerometer measured physical activity and sedentary behavior to inform intervention development.
  
  
  METHODS
  Cross-sectional study.
  
  
  METHODS
  National Health and Nutrition Examination Survey (NHANES) adult participants (≥20 years) in 2003-2006 wore an accelerometer for 1 week. Accelerometer data from 7236 participants were used to derive latent classes describing day-to-day patterns over a week of physical activity and sedentary behavior. Correlates of each pattern were identified using multinomial logistic regression from 21 potential variables grouped into four domains: socio-demographic, acculturation, cardiovascular, and health history.
  
  
  RESULTS
  Older age, female sex, higher body mass index, and history of chronic disease were consistently associated with lower odds of being in a more active compared to the least active class. In contrast, being employed, speaking Spanish at home, and having better self-rated health were associated with higher odds of being in a more active compared to the least active class.
  
  
  CONCLUSIONS
  Correlates of physical activity and sedentary behavior patterns were identified from all domains (socio-demographic, acculturation, cardiovascular, and health history). Most correlates that were positively associated with physical activity were negatively associated with sedentary behavior. Better understanding of the correlates of physical activity and sedentary behavior patterns can inform interventions to promote physical activity and reduce sedentary behavior.
authors.affiliation: Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, USA. Electronic address: SydneyJones@unc.edu.
authors.forename: Sydney A
authors.initials: SA
authors.lastname: Jones
authors.affiliation: Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, USA.
authors.forename: Fang
authors.initials: F
authors.lastname: Wen
authors.affiliation: Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina, USA.
authors.forename: Amy H
authors.initials: AH
authors.lastname: Herring
authors.affiliation: Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, USA.
authors.forename: Kelly R
authors.initials: KR
authors.lastname: Evenson
mesh_terms: D061725:Accelerometry; D000328:Adult; D000367:Age Factors; D015992:Body Mass Index; D003430:Cross-Sectional Studies; D015444:Exercise; D005260:Female; D015438:Health Behavior; D006304:Health Status; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D009749:Nutrition Surveys / Q000706:statistics & numerical data*; D057185:Sedentary Behavior; D012737:Sex Factors; D012931:Social Environment; D013223:Statistics as Topic; D014481:United States; D055815:Young Adult
keywords: Accelerometry; Latent class analysis; Motor activity; Surveillance; Weekend warrior