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 21º de dezembro 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 Rafaela Costa Martins, Bruna Gonçalves C. da Silva, Cauane Blumenberg, Luiza Isnardi Ricardo, Shana Ginar da Silva, João Pedro Ribeiro, Alicia Matijasevich, Ana Maria Baptista Menezes, Helen Gonçalves, Fernando César Wehrmeister, Iná dos Santos, Inácio Crochemore-Silva, Aluísio JD Barros

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