Multiple imputation to deal with missing objectively-measured physical activity data: findings from two cohorts

Autores

  • Rafaela Costa Martins Federal University of Pelotas, Post-graduate Program in Epidemiology, Pelotas, Rio Grande do Sul, Brazil. https://orcid.org/0000-0003-3538-7228
  • Bruna Gonçalves C. da Silva Federal University of Pelotas, Post-graduate Program in Epidemiology, Pelotas, Rio Grande do Sul, Brazil. https://orcid.org/0000-0003-2917-7320
  • Cauane Blumenberg Federal University of Pelotas, Post-graduate Program in Epidemiology, Pelotas, Rio Grande do Sul, Brazil. https://orcid.org/0000-0002-4580-3849
  • Luiza Isnardi Ricardo Federal University of Pelotas, Post-graduate Program in Epidemiology, Pelotas, Rio Grande do Sul, Brazil. https://orcid.org/0000-0002-1244-4501
  • Shana Ginar da Silva Federal University of Pelotas, Post-graduate Program in Epidemiology, Pelotas, Rio Grande do Sul, Brazil. Federal University of South Frontier, Faculty of Medicine, Passo Fundo, Rio Grande do Sul, Brazil. https://orcid.org/0000-0003-1504-6936
  • João Pedro Ribeiro Federal University of Pelotas, Faculty of Physical Education, Pelotas, Rio Grande do Sul, Brazil.
  • Alicia Matijasevich Federal University of Pelotas, Post-graduate Program in Epidemiology, Pelotas, Rio Grande do Sul, Brazil. São Paulo University, Faculty of Medicine, Department of Preventive Medicine, São Paulo, São Paulo, Brazil. https://orcid.org/0000-0003-0060-1589
  • Ana Maria Baptista Menezes Federal University of Pelotas, Post-graduate Program in Epidemiology, Pelotas, Rio Grande do Sul, Brazil.
  • Helen Gonçalves Federal University of Pelotas, Post-graduate Program in Epidemiology, Pelotas, Rio Grande do Sul, Brazil.
  • Fernando César Wehrmeister Federal University of Pelotas, Post-graduate Program in Epidemiology, Pelotas, Rio Grande do Sul, Brazil. https://orcid.org/0000-0001-7137-1747
  • Iná dos Santos Federal University of Pelotas, Post-graduate Program in Epidemiology, Pelotas, Rio Grande do Sul, Brazil. https://orcid.org/0000-0003-1258-9249
  • Inácio Crochemore-Silva Federal University of Pelotas, Post-graduate Program in Epidemiology, Pelotas, Rio Grande do Sul, Brazil. Federal University of Pelotas, Post-graduate Program in Physical Education, Pelotas, Rio Grande do Sul, Brazil. https://orcid.org/0000-0001-5390-8360
  • Aluísio JD Barros Federal University of Pelotas, Post-graduate Program in Epidemiology, Pelotas, Rio Grande do Sul, Brazil.

DOI:

https://doi.org/10.12820/rbafs.26e0209

Palavras-chave:

Accelerometry, Physical activity, Statistics

Resumo

O objetivo desse artigo foi descrever os padrões de perda de informação em dados de acelerometria, além de avaliar o processo de imputação múltipla para estimar o nível de atividade física para indivíduos sem dados de acelerometria. Participantes de duas coortes de nascimentos de Pelotas (Brasil) com 22 e 11 anos participaram do estudo e diferenças entre casos completos e imputados foram avaliadas. A média geral de atividade física para os casos completos (n1993 = 2.985 e n2004 = 3.348) e para casos completos mais imputados (n1993 = 760 e n2004 = 79) foi descrita de acordo com os preditores. Indivíduos do sexo masculino, de cor da pele preta e com menor escolaridade apresentaram maiores médias de atividade física geral. Quase todas as estimativas imputadas foram comparáveis com os valores de casos completos, e a maior diferença encontrada foi 0,7 mg para o primeiro quintil de renda na coorte de 1993. Imputação múltipla é uma boa técnica para lidar com dados faltantes de atividade física medida por acelerometria. Essa técnica fornece um gama relevante de variáveis para serem usadas a fim de predizer valores de acelerometria eficientemente.

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Publicado

2021-07-12

Como Citar

1.
Martins RC, Silva BGC da, Blumenberg C, Ricardo LI, Silva SG da, Ribeiro JP, et al. Multiple imputation to deal with missing objectively-measured physical activity data: findings from two cohorts. Rev. Bras. Ativ. Fís. Saúde [Internet]. 12º de julho de 2021 [citado 16º de abril de 2024];26:1-8. Disponível em: https://rbafs.org.br/RBAFS/article/view/14570

Edição

v. 26 (2021)

Seção

Artigos Originais

Licença

Copyright (c) 2021 Revista Brasileira de Atividade Física & Saúde

Creative Commons License
Este trabalho está licenciado sob uma licença Creative Commons Attribution 4.0 International License.