2.5. Statistical Analysis
Data from all study sites were exported from the central REDCap BPStatistical analysis was performed using IBM SPSS Statistics version 27.0 (Chicago, IL, USA). Descriptive statistics were performed using mean ± standard deviation for normally distributed continuous data, and median with interquartile range for not normally distributed data. Distribution was determined using a combination of Shapiro–Wilk test for the null hypothesis, skewness and kurtosis z-values, and visual inspection of frequency histograms and boxplots. Number and percentages were used for categorical data.ANOVA tests were used to compare outcomes overall and between HDP subgroups. Correlations between lifestyle behaviours and cardiometabolic outcomes were analysed using Spearman’s correlation coefficients, as lifestyle outcome data were not normally distributed. Categorical outcomes were recoded numerically as binary (full fat milk yes/no and currently breastfeeding yes/no) or in increasing order (smoking status non/past/current and electronic cigarette status non/past/current) to allow for evaluation of these correlations. The level of significance in this exploratory study is a 