Data analysis
depression, Braden, anxiety
REGRESSION, SECONDARY, SENSITIVITY
Sociodemographic and clinical data at baseline were described using means and SDs for continuous variables, and frequencies and percentages for categorical variables. Treatment conditions were compared at baseline by visual inspection to ensure the success of randomisation.The main analysis and primary endpoint were the comparison of the effectiveness of ‘Mindful eating’ + TAU versus TAU alone at posttreatment in the main outcome (i.e., DEBQ ‘emotional eating’), which was considered a continuous variable at the individual level. Multilevel mixed‐effect regression models, including subjects and clusters (PC centres) as random effect variables, were developed by means of a repeated measures design. An intention‐to‐treat basis was considered using the restricted maximum likelihood method, which is robust in the case of small or unbalanced sample sizes (Egbewale et al., Secondary analyses included the comparison of the effects of the interventions on the main outcome at 1‐year follow‐up, following the same analytical strategy described above. In the same line, both study arms were compared in the secondary outcomes, process variables, and physical parameters. Sensitivity analyses of the main outcome with sex and the baseline levels of anxiety and depression as covariates were computed, considering the existing evidence regarding the potential influence that these variables imply in terms of emotional eating (Braden et al., An alpha level of 0.05 was set, using a two‐tailed test. Data analyses were computed using STATA v17.0, and IBM SPSS v26.0 statistical software.