title: The influence of changes in marital status on developmental trajectories of alcohol use in young adults.
abstract: OBJECTIVE
  Multiple group latent curve analysis was used to assess the impact of changes in marital status on alcohol use trajectories in young adults and to test if these effects varied across ethnicity and gender.
  
  
  METHODS
  Four years of data were obtained from a sample of young adults (N = 4,052; 54% male) drawn from the National Longitudinal Survey of Youth. Alcohol use and marital status were assessed once per year and covariates included age, gender, education and ethnicity.
  
  
  RESULTS
  Latent curve models indicated that there was an overall nonlinear negative alcohol use trajectory across the four time points and that becoming married was reliably associated with an added down-turn to this trajectory. Multiple group models indicated that there was an interaction between ethnicity and marital status in the prediction of alcohol growth trajectories, but there was no interaction with gender.
  
  
  CONCLUSIONS
  Becoming married for the first time exerted a unique effect on the overall developmental trajectory of alcohol use over time. This effect held for both ethnic groups but was reliably stronger for white compared to black respondents. This interaction may be attributable to lower levels of alcohol use reported by black respondents, or may be related to individual differences in reactivity to social influences by blacks relative to whites.
authors.affiliation: Department of Psychology, Duke University, Durham, North Carolina 27708-0085, USA.
authors.forename: P J
authors.initials: PJ
authors.lastname: Curran
authors.forename: B O
authors.initials: BO
authors.lastname: Muthén
authors.forename: T C
authors.initials: TC
authors.lastname: Harford
mesh_terms: D000328:Adult; D000428:Alcohol Drinking / Q000453:epidemiology*; D005006:Ethnicity / Q000706:statistics & numerical data; D005260:Female; D005544:Forecasting / Q000379:methods; D006306:Health Surveys; D006801:Humans; D008016:Life Change Events; D008137:Longitudinal Studies; D008297:Male; D017533:Marital Status / Q000706:statistics & numerical data*; D012737:Sex Factors; D013223:Statistics as Topic / Q000379:methods; D013997:Time Factors; D014481:United States / Q000453:epidemiology