Statistical methods
SECONDARY
Data were analysed using IBM SPSS Statistics 27 (IBM Corp.). Demographic and baseline characteristics were reported for participants across the three study groups as mean (Generalised linear mixed models were used to analyse the primary outcome (ARFS total) and secondary outcomes (ARFS subscales, percentage energy from nutrient-rich core foods) for the impact of the treatment group (Group 1 control A per-protocol sensitivity analysis was also conducted to examine the impact of the AES comprehensive feedback report and For analysis of process evaluation data, categorical variables were reported as percentages (counts).As the intervention did not change beyond the initial 3 months and given the low numbers of respondents at each timepoint, process evaluation data were pooled such that one response for each participant was included, with the earliest response included for those participants who responded at more than one timepoint.