Efficacy of a Mindful Eating Intervention on Eating Behavior, Body Image, and Mental Health in Female Nutrition Students: a Pilot Randomized Clinical Trial

Female nutrition students are particularly vulnerable to disordered eating, mental health distress (such as anxiety and depression), and body image dissatisfaction due to intense academic and sociocultural pressures. The mindful eating protocol "Eat for Life" aims to address these issues by promoting mindfulness, emotional regulation, self-compassion, and body appreciation. Despite its potential, there is a lack of randomized clinical trials (RCTs) evaluating the efficacy of this specific protocol in this population.

This parallel-group, pilot randomized clinical trial aims to fill this gap, strictly adhering to the CONSORT (Consolidated Standards of Reporting Trials) guidelines. Participants will be allocated into two distinct groups using a computerized random number generator (www.randomizar.org).

Study Procedures and Data Management: Data collection will be conducted via online forms at three specific time points: baseline, 12 weeks (post-intervention), and a 3-month follow-up. To ensure rigorous data security and quality assurance in compliance with the Brazilian General Data Protection Law (LGPD), all collected data will be exported and stored securely in offline Excel spreadsheets. Only the core research team will have access to this information, and all records will be permanently destroyed after five years to guarantee confidentiality

Sample Size Assessment: The sample size was calculated using G*Power software. To detect a moderate effect size (f = 0.15) with a minimum statistical power of 80% and a 5% significance level across two groups and three measurement times, a minimum of 74 participants is required. Anticipating a potential 20% attrition rate (loss to follow-up), the final target sample size was established at 88 participants, meaning 44 individuals randomly distributed to each arm.

Statistical Analysis Plan: To minimize bias, all statistical analyses will be performed by an independent researcher blinded to the group allocations. The analyses will be conducted using STATA and R software. Descriptive statistics will be presented as means and standard deviations for continuous variables, and as absolute and relative frequencies for categorical data. Data normality will be assessed using the Shapiro-Wilk test. For comparisons between groups, parametric (Student's t-test) or non-parametric (Mann-Whitney test) tests will be applied based on the data distribution. Correlation analyses will utilize Pearson or Spearman tests, and all tests will adopt a significance level of 5% (p < 0.05). Methodological quality will also be evaluated using the CONSORT checklist.