In conducting the trajectory analysis, we did not include cases that were missing predictor or
covariate information.
Additional
covariate information about age, smoking habit, socioeconomic status, family history of diabetes and stroke, menopausal status, medical history, and current use of medications was obtained with the use of pretested questionnaires.
Baseline
covariate information was collected from the demographic questionnaire that was administered to the national opinion panel from which the sample was drawn.
Not exact matches
Because SMMIS contained over 200 items of
information for each pregnancy, the list of potential
covariates was a long one.
Information about
covariates was obtained from the demographic, prenatal and neonatal questionnaires.
After exclusion of participants with missing
information on dietary data (n = 117; 70 case subjects, 47 subcohort) or other missing
covariates, i.e., physical activity, educational, and smoking status (n = 790; 357 case subjects, 433 subcohort), and participants who fell in the top or bottom 1 % of the «energy intake / energy requirement ratio» (n = 619; 339 case subjects, 280 subcohort), our analysis included 26,253 participants (10,901 incident type 2 diabetes case subjects and a subcohort of 15,352 participants including 736 cases of incident type 2 diabetes).
Results were insensitive to treating missing ACE
information as no exposure and incorporating additional
covariates.
Because the region provides
information about a continuum of
covariate values, the use of simultaneous statistical inference is required.28 - 30 In an approach similar to that taken by Olds et al, 6 we have extended the methods for simultaneous regions of significance to the generalized case, with log - link functions and Poisson error.
This already provides some
information about our hypotheses c and d; nevertheless, we tested both hypotheses utilizing Generalised Estimating Equation (GEE) analyses with conduct problems at time 2 as the dependent variable, CU traits as a between - groups factor, and conduct problems at time 1, change in Emotional Distance, and change in Family Disorganization, and the interactions between CU traits and change in emotional distance and family disorganisation, as
covariates.