Evidence map›Paper›PMID 31091683›Full record

Trial reportInternational journal of environmental research and public health2019

Evaluation of the Computer-Based Intervention Program

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, Rita de Cássia Ribeiro-Silva

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 3 pooled it
2.4field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 3 syntheses or guidelines pooled it, 23 citations in OpenAlex.

  1. Pooled it
  2. Interventions to prevent obesity in children aged 12 to 18 years old.The Cochrane database of systematic reviews · 2024
    Pooled it
  3. Pooled it
  4. Trial
  5. Review
  6. Article
  7. Article
  8. Article
  9. Technology-Based Interventions to Reduce Sugar-Sweetened Beverages among Adolescents: A Scoping Review.International journal of environmental research and public health · 2023
    Article
  10. Article
  11. Review
  12. Article
  13. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 2 countries.

Karine Brito Beck da SilvaDepartamento de Ciências da Nutrição, Escola de Nutrição, Universidade Federal da Bahia, Av. Araújo Pinho, 32, Canela, Salvador, BA 40.110-150, Brazil. nutkarinebeck@hotmail.com.ORCID 0000-0001-5313-5353
Naiá OrtelanCidacs-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. nana.ortelan@gmail.com.
Sheila Giardini MurtaDepartamento de Psicologia Clínica, Instituto de Psicologia, Universidade de Brasília, Campus Darcy Ribeiro, Brasília, DF 70910-900, Brazil. giardini@unb.br.
Isabel SartoriPrograma de Engenharia Industrial, PROTEC. Escola Politécnica-PEI, Universidade Federal da Bahia, Rua Aristídes Novis, 02, 6o andar, Federação, Salvador, BA 40210630, Brazil. sartori@ufba.br.
Ricardo David CoutoDepartamento de Análises Clínicas e Toxicológicas, Faculdade de Farmácia, Universidade Federal da Bahia, Salvador, Bahia 40.170-115, Brasil. rdc@ufba.br.
Rosemeire Leovigildo FiacconeCidacs-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. fiaccone@ufba.br.
Maurício Lima BarretoCidacs-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. mauricio@ufba.br.
Megan Jones BellHeadspace, Inc. 2415 Michigan Avenue, Santa Monica, CA 90404, USA. drmegjones@gmail.com.
Craig Barr TaylorDepartment of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA. btaylor@stanford.edu.
Rita de Cássia Ribeiro-SilvaDepartamento de Ciências da Nutrição, Escola de Nutrição, Universidade Federal da Bahia, Av. Araújo Pinho, 32, Canela, Salvador, BA 40.110-150, Brazil. ritaribeiroufba@gmail.com.
Universidade Federal da Bahia · BRMinistério da Saúde · BRStanford University · USUniversidade de Brasília · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Feeding BehaviorHealth PromotionSchoolsAdolescentBrazilDiet, HealthyExerciseFemaleHumansInternetMaleOverweightSedentary BehaviorStudentsadolescentsschool-based nutrition interventionweb-based platform

Identifiers

PMID31091683
PMCPMC6572183
OpenAlexW2945241754

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.