2.2. Statistical Analysis
type 2 diabetes
TYPE 2 DIABETES
Characteristics of the study population are presented as mean ± SD or median (25th, 75th percentile) for continuous variables and as absolute (relative) frequencies for categorical variables and presented in Participants from the Universities of Sydney and Helsinki were merged into one group for assessment of longitudinal associations of added and total sugars, and GI with changes in markers of glycaemic status and body fatness during the WLM phase. Data from the University of Nottingham were analysed separately because data on free sugars, not added sugars, were provided. Data were not pooled for all three centres because direct comparisons between added/free sugars to total sugars and GI were required. To achieve normal distribution in outcome variables logProspective associations between dietary sugars intake (total sugars, added sugars, free sugars) or glycaemic index and risk markers of type 2 diabetes (fasting insulin, fasting glucose, HbAFor easier interpretation, results from the linear mixed models with repeated measurements are presented as adjusted least-square means (95% CI) by tertiles of the respective predictor, while 