Design of a school randomized trial for nudging students towards healthy diet and physical activity to prevent obesity:PAAPAS Nudge study protocol

Submitted by Janaína Nascimento ([email protected]) on 2019-06-26T13:41:43Z No. of bitstreams: 1 ve_Cunha_Diana_etal_INI_2017.pdf: 188285 bytes, checksum: 9c5af1590f81759ea357050b01c74cce (MD5)Approved for entry into archive by Janaína Nascimento ([email protected]) on 2019-06-26T14:10:20Z (GMT) No. of bitstreams: 1 ve_Cunha_Diana_etal_INI_2017.pdf: 188285 bytes, checksum: 9c5af1590f81759ea357050b01c74cce (MD5)Made available in DSpace on 2019-06-26T14:10:20Z (GMT). No. of bitstreams: 1 ve_Cunha_Diana_etal_INI_2017.pdf: 188285 bytes, checksum: 9c5af1590f81759ea357050b01c74cce (MD5) Previous issue date: 2017State University of Rio de Janeiro. Social Medicine Institute. Department of Epidemiology. Rio de Janeiro, RJ, Brazil.State University of Rio de Janeiro. Social Medicine Institute. Department of Epidemiology. Rio de Janeiro, RJ, Brazil.State University of Rio de Janeiro. Social Medicine Institute. Department of Epidemiology. Rio de Janeiro, RJ, Brazil / Brazilian Navy. Naval Academy. Department of Physical Education and Sports. Rio de Janeiro, RJ, Brazil.Fundação Oswaldo Cruz. Escola Nacional de Saúde Pública Sérgio Arouca. Departamento de Epidemiologia e Métodos Quantitativos. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Instituto Nacional de Infectologia Evandro Chagas. Rio de Janeiro, RJ, Brasil.State University of Rio de Janeiro. Social Medicine Institute. Department of Epidemiology. Rio de Janeiro, RJ, Brazil.Fluminense Federal University. Institute of Collective Health. Department of Epidemiology and Biostatistics. Niterói, RJ, Brazil.State University of Rio de Janeiro. Social Medicine Institute. Department of Epidemiology. Rio de Janeiro, RJ, Brazil.Fluminense Federal University. Institute of Collective Health. Department of Epidemiology and Biostatistics. Niterói, RJ, Brazil.State University of Rio de Janeiro. Nutrition Institute. Department of Social Nutrition. Rio de Janeiro, RJ, Brazil.State University of Rio de Janeiro. Nutrition Institute. Department of Social Nutrition. Rio de Janeiro, RJ, Brazil.University of Copenhagen. Department of Food Science. Copenhagen, Denmark.Federal University of Rio de Janeiro. Department of Social and Applied Nutrition. Rio de Janeiro, RJ, Brazil.State University of Rio de Janeiro. Social Medicine Institute. Department of Epidemiology. 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 outcomemeasure(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. Abbreviations: BMI = body mass index, CONSORT = Consolidated Standards of Reporting Trials, PAAPPAS = Portuguese abbreviation of parents, students, community health agents and teachers for healthy eating, Rec24-h = 24-hour recall, SLM = Smarter Lunchrooms Movement

Social inequalities among Brazilian older adults: a secondary cross-sectional analysis of a national survey

OBJECTIVE: This study aimed to evaluate sociodemographic and economic differences among Brazilian older adults according the region they live in. METHODS: This cross-sectional, descriptive-analytical study included older adults aged &ge; 60 years, based on a secondary analysis of public data from a nationally representative survey called the Family Budget Survey. The data were disaggregated according to the 5 regions of the country and associated with sociodemographic and economic characteristics. Analyses of categorical and numerical variables and their associations were performed using multinomial logistic regression. RESULTS: Among all participants in the Family Budget Survey, 26 199 (15%) were older adults. The southeast and south regions were found to had better living conditions and higher proportions of older adults. Regarding race, the southern region had the highest proportion of self-declared Whites, the southeastern region had the highest mean education level, and the northern and northeastern regions had the lowest levels of education and household income. CONCLUSIONS: The results suggest that the aging process is heterogeneous due to marked regional inequalities, which are related to social issues. Regional differences can be determinant in socioeconomic and demographic inequalities among the older population.</p