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Design of a school randomized trial for nudging students towards healthy diet and physical activity to prevent
Diana Barbosa Cunha1, Eliseu Verly Junior, Vitor Barreto Paravidino
1Department of Epidemiology, Social Medicine Institute, State University of Rio de Janeiro Department of Physical Education and Sports, Naval Academy, Brazilian Navy Department of Epidemiology and Quantitative Methods, Sergio Arouca National School of Public Health, Oswaldo Cruz Foundation, Ministry of Health Evandro Chagas National Institute of Infectious Diseases, Oswaldo Cruz Foundation, Rio de Janeiro Department of Epidemiology and Biostatistics, Institute of Collective Health, Fluminense Federal University, Niterói Department of Social Nutrition, Epidemiology, Nutition Institute, State University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil Department of Food Science, University of Copenhagen, Copenhagen, Denmark Department of Social and Applied Nutrition, Federal University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil.
Objective:
To evaluate the effectiveness of nudge activities at school on the students' body mass index (BMI).
Design:
School-based factorial randomized community trial.
Setting:
Eighteen public schools in the municipality of Duque de Caxias, metropolitan area of Rio de Janeiro, Brazil.
Participants And Intervention:
The 18 schools will be randomized into 4 group arms: group 1-control (without any activity); group 2-will receive educational activities in the classroom; group 3-will receive changes in the school environment (nudge strategies); group 4-will receive educational activities and changes in the school environment. Activities will occur during the 2018 school-year.
Main Outcome Measure(S):
The primary (BMI) and secondary (body fat percentage) outcomes will be assessed at baseline and after the study using a portable electronic scale with a segmental body composition monitor. The height will be measured by a portable stadiometer.
Analysis:
Statistical analyses for each outcome will be conducted through linear mixed models that took into account the missing data and cluster effect of the schools.
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