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Evaluation of the Computer-Based Intervention Program Stayingfit Brazil to Promote Healthy Eating Habits: The Results from a School Cluster-Randomized Controlled Trial

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  • Karine Brito Beck da Silva

    (Departamento de Ciências da Nutrição, Escola de Nutrição, Universidade Federal da Bahia, Av. Araújo Pinho, 32, Canela, Salvador, BA 40.110-150, Brazil)

  • Naiá Ortelan

    (Cidacs—Centro de Integração de Dados e Conhecimentos para Saúde, Instituto Gonçalo Moniz, Fundação Osvaldo Cruz, Ministério da Saúde, Parque Tecnológico da Bahia, Rua Mundo, 121, Trobogy, Salvador, BA 41745-7115, Brazil)

  • Sheila Giardini Murta

    (Departamento de Psicologia Clínica, Instituto de Psicologia, Universidade de Brasília, Campus Darcy Ribeiro, Brasília, DF 70910-900, Brazil)

  • Isabel Sartori

    (Programa de Engenharia Industrial, PROTEC. Escola Politécnica—PEI, Universidade Federal da Bahia, Rua Aristídes Novis, 02, 6o andar, Federação, Salvador, BA 40210630, Brazil)

  • Ricardo David Couto

    (Departamento de Análises Clínicas e Toxicológicas, Faculdade de Farmácia, Universidade Federal da Bahia, Salvador, Bahia 40.170-115, Brasil)

  • Rosemeire Leovigildo Fiaccone

    (Cidacs—Centro de Integração de Dados e Conhecimentos para Saúde, Instituto Gonçalo Moniz, Fundação Osvaldo Cruz, Ministério da Saúde, Parque Tecnológico da Bahia, Rua Mundo, 121, Trobogy, Salvador, BA 41745-7115, Brazil
    Instituto de Matemática, Universidade Federal da Bahia, Av. Adhemar de Barros, s/n, Ondina, Salvador, BA 40.170-110, Brazil
    Instituto de Saúde Coletiva, Universidade Federal da Bahia, Rua Basílio da Gama, s/n, Canela, Salvador, BA 40.110-040, Brazil)

  • Maurício Lima Barreto

    (Cidacs—Centro de Integração de Dados e Conhecimentos para Saúde, Instituto Gonçalo Moniz, Fundação Osvaldo Cruz, Ministério da Saúde, Parque Tecnológico da Bahia, Rua Mundo, 121, Trobogy, Salvador, BA 41745-7115, Brazil
    Instituto Gonçalo Moniz (IGM), Fundação Osvaldo Cruz-FIOCRUZ-Bahia, Av. Waldemar Falcão, 121, Candeal, Salvador, BA 40.296-710, Brazil)

  • Megan Jones Bell

    (Headspace, Inc. 2415 Michigan Avenue, Santa Monica, CA 90404, USA
    Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA)

  • Craig Barr Taylor

    (Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA)

  • Rita de Cássia Ribeiro-Silva

    (Departamento de Ciências da Nutrição, Escola de Nutrição, Universidade Federal da Bahia, Av. Araújo Pinho, 32, Canela, Salvador, BA 40.110-150, Brazil)

Abstract

Interventions via the Internet are promising regarding the promotion of healthy habits among youth. The objective of this study was to evaluate the effect of an adapted version of StayingFit to promote healthy eating habits and the measurement adequacy of anthropometric markers among adolescents. A web school-based 12-month cluster-randomized controlled trial examining 7th to 9th grade students was conducted in twelve schools in Salvador, Bahia, Brazil. The schools’ students were randomly distributed into the intervention and control groups. The intervention group participated in StayingFit, an online program designed to encourage and guide healthy eating habits and control body weight. Data on food consumption, anthropometry, physical activity level, and sedentary behavior were collected from all of the students at the beginning of and after the 12-month study. Demographic and socioeconomic data were collected at baseline. The baseline data indicated high rates of overweight (14.4% overweight and 8.5% obese), insufficiently active (87.6%), and sedentary (63.7%). Furthermore, few adolescents regularly consumed fruits (18.8%) and vegetables/legumes (16.4%). Generalized estimating equations (GEEs) were used to evaluate the effect of the intervention. At the end of the follow-up period, students in the intervention group had a 43% increased chance of regularly consuming beans (OR = 1.43, 95% CIs = 1.10–1.86) and a 35% decreased chance of regularly consuming soft drinks (OR = 0.65, 95% CIs = 0.50–0.84). No differences were found between the groups studied with regard to the anthropometric parameters. Despite these modest results, the implementation of a web intervention can be beneficial and help promote positive changes in adolescent eating habits.

Suggested Citation

  • Karine Brito Beck da Silva & Naiá Ortelan & Sheila Giardini Murta & Isabel Sartori & Ricardo David Couto & Rosemeire Leovigildo Fiaccone & Maurício Lima Barreto & Megan Jones Bell & Craig Barr Taylor , 2019. "Evaluation of the Computer-Based Intervention Program Stayingfit Brazil to Promote Healthy Eating Habits: The Results from a School Cluster-Randomized Controlled Trial," IJERPH, MDPI, vol. 16(10), pages 1-18, May.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:10:p:1674-:d:230852
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    References listed on IDEAS

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    1. Lin Feng & Dong-Mei Wei & Shen-Ting Lin & Ralph Maddison & Cliona Ni Mhurchu & Yannan Jiang & Yang Gao & Hai-Jun Wang, 2017. "Systematic review and meta-analysis of school-based obesity interventions in mainland China," PLOS ONE, Public Library of Science, vol. 12(9), pages 1-19, September.
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    Cited by:

    1. Valter Cordeiro Barbosa Filho & Wallingson Michael Gonçalves Pereira & Bianca de Oliveira Farias & Thereza Maria Magalhães Moreira & Paulo Henrique Guerra & Ana Carolina Melo Queiroz & Victor Hugo San, 2021. "Scoping Review on Interventions for Physical Activity and Physical Literacy Components in Brazilian School-Aged Children and Adolescents," IJERPH, MDPI, vol. 18(16), pages 1-16, August.
    2. Chidinma Ezike & Keith Da Silva, 2023. "Technology-Based Interventions to Reduce Sugar-Sweetened Beverages among Adolescents: A Scoping Review," IJERPH, MDPI, vol. 20(23), pages 1-13, November.

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