title: Social class across the life course and physical activity at age 34 years in the 1970 British birth cohort.
abstract: OBJECTIVE
  To examine the associations between social class at ages 0, 5, 10, 30, and 34 years and physical activity at age 34 years using a novel approach to analysis of life course data.
  
  
  METHODS
  We used structural equation modeling to compare three competing models in life course epidemiology: the accumulation of risk model with additive effects, the accumulation of risk model with trigger effect, and the critical period model. Data were from a nationally representative prospective cohort of 16,571 British men and women born in 1970. Outcomes were physical activity during leisure time, during transports, and at work.
  
  
  RESULTS
  For all three domains of physical activity, for men and women, the accumulation of risk model with additive effects fit the data best. In this model, social class at ages 0, 5, 10, 30, and 34 years were associated with physical activity at age 34 years, although the magnitude and the direction of the associations for social class at each age varied by physical activity outcome and by sex.
  
  
  CONCLUSIONS
  Structural equation modeling appears to be a helpful tool in selecting among competing models in life course epidemiology.
authors.affiliation: Département de médecine sociale et préventive, Faculté de médecine, Université de Montréal, Montréal, Québec, Canada. Electronic address: carl-etienne.juneau@umontreal.ca.
authors.forename: Carl-Etienne
authors.initials: CE
authors.lastname: Juneau
authors.affiliation: Département de médecine sociale et préventive, Faculté de médecine, Université de Montréal, Montréal, Québec, Canada.
authors.forename: Alice
authors.initials: A
authors.lastname: Sullivan
authors.affiliation: Centre for Longitudinal Studies, Institute of Education, London, UK.
authors.forename: Brian
authors.initials: B
authors.lastname: Dodgeon
authors.affiliation: Département de médecine sociale et préventive, Faculté de médecine, Université de Montréal, Montréal, Québec, Canada.
authors.forename: Sylvana
authors.initials: S
authors.lastname: Côté
authors.affiliation: Centre for Longitudinal Studies, Institute of Education, London, UK.
authors.forename: George B
authors.initials: GB
authors.lastname: Ploubidis
authors.affiliation: Département de médecine sociale et préventive, Faculté de médecine, Université de Montréal, Montréal, Québec, Canada.
authors.forename: Louise
authors.initials: L
authors.lastname: Potvin
mesh_terms: D000293:Adolescent; D000328:Adult; D000367:Age Factors; D002648:Child; D002675:Child, Preschool; D015444:Exercise; D005260:Female; D006306:Health Surveys; D006801:Humans; D007899:Leisure Activities; D016015:Logistic Models; D008297:Male; D009043:Motor Activity; D015999:Multivariate Analysis; D011446:Prospective Studies; D012923:Social Class; D012959:Socioeconomic Factors; D011795:Surveys and Questionnaires; D013997:Time Factors; D006113:United Kingdom; D044465:White People / Q000706:statistics & numerical data*; D055815:Young Adult
keywords: Epidemiology; Exercise; Health; Longitudinal studies; Public health; Social class