Statistical analysis
All statistical analyses were performed using SPSS 24.0 statistical software. Data were checked and cleaned prior to analyses and visually assessed for normality using frequency histograms, which were then compared with the results of Kolmogorov–Smirnov and Shapiro–Wilk tests of normality. As child food provision and intake data were not normally distributed, data are reported as median and inter-quartile range (IQR). Socio-demographic data are reported as frequency (%) or mean (The effect of the intervention on children’s food provision and intake was determined using a linear mixed-effects model, adjusting for clustering of centres (random effect) and controlling for child age and gender, socio-economic status of centre location and centre size (fixed effects). Only children with complete data for all measured eating occasions including lunch and morning and afternoon snacks were included in the analyses. Log-transformation was performed for variables that did not fit model assumptions. Estimates for transformed variables are reported as the ratio of geometric means, whereas non-transformed variables are reported as geometric means. Statistical significance was considered at 