We used logistic regression to examine the association between history of a psychiatric episode and a number of behavioral risk factors. Cox proportional hazards models were used with months as the time scale to estimate the risk of all-cause and cardiovascular mortality in relation to history of a psychiatric episode (yes/no). For participants who survived, the data were censored to September 2006. The proportional hazards assumption was examined by comparing the cumulative hazard plots grouped on exposure, although no appreciable violations were noted. In multivariate models, we adjusted for age, sex, socioeconomic group (professional or intermediate [reference], skilled nonmanual, skilled manual, part skilled or unskilled), marital status (single or never married [reference], married, widowed, separated or divorced), body mass index category (calculated as weight in kilograms divided by height in meters squared; underweight, <18.5; normal weight, 18.5-25.0 [reference]; overweight, 25.01-30.0; obese, 30.1-40.0; morbidly obese, >40.0), long-standing illness (yes/no), smoking (never [reference]; previous; present light smokers, <10 cigarettes per day; heavy smokers, ≥10 cigarettes per day), physical activity category for total physical activity sessions per week of any intensity lasting at least 20 minutes (≤3.5 [reference], 3.51-5.0, 5.01-6.75, or >6.75), and current mental health (GHQ-12 score, <4 [reference] or ≥4). In a subgroup analysis, we compared cardiovascular risk factors (CRP, fibrinogen, and total cholesterol levels) between participants with psychiatric episodes and the general population using general linear models adjusting for age and sex. A log transformation was performed for CRP because of the skewed distribution. All analyses were conducted using a commercially available software program (SPSS, version 14; SPSS Inc, Chicago, Illinois).