For non-normally distributed variables we employed a simulation method, whereby we retained the phenotypic data (cognitive variables and affection status) and permuted the observed genotype among individuals using the R statistical package (http://cran.r-project.org).org
Older persons may have particular difficulty in realizing the social goals of affection, behavioral confirmation, and status in socially deprived neighborhoods.
Each of these abilities must be related explicitly to the dimensions of well-being specified in the SPF theory: physical well-being (comfort and stimulation) and social well-being (affection, behavioural confirmation, and status) [ 13- 15, 17, 18].
The short version of the Social Production Function Scale SPF-IL scale measures social well-being by means of the dimensions "affection", "behaviour confirmation" and "status" as well as physical well-being by means of the dimensions "comfort" and "stimulation" [ 56].
The associations between the individual loci and RA affection status and the Anti-CCP and IgM that were built into the data set by Miller et al. [ 24] are summarized in Table 1.
For normally distributed variables we used univariate, multivariate or repeated measures analysis of covariance with total BPRS score as covariate to examine the main effects and interaction of genotype and affection status.
The basic idea is to compute a correlation between each measured SNP and the affection status, and then further study areas that contain SNPs with high scores.
To compare demographic features, we conducted univariate analyses of variance (ANOVAs) for continuous variables with genotype and affection status (BD patient, relative, control) as fixed factors and chi-square tests for dichotomous variables.
Factors 1 and 2 from GSS were analyzed using linear regression models including age and affection status as covariates.
Initial exploration of the impact of genotype and affection status on DS-CPT outcome variables was conducted using repeated measures analysis of variance with blocks 1 4 as within subject factor and affection status and genotype as between-subject factors and BPRS as covariate.
