Multiple imputation to deal with missing objectively-measured physical activity data: findings from two cohorts
The objective of this article was to describe patterns of losses of information regarding accelerometer data and to assess the use of multiple imputation to generate physical activity estimates for individuals without accelerometry data. Two birth cohort studies from Pelotas (Brazil) with participa...
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| Format: | Article |
| Language: | English |
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Sociedade Brasileira de Atividade Física e Saúde
2021-07-01
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| Series: | Revista Brasileira de Atividade Física e Saúde |
| Online Access: | https://rbafs.org.br/RBAFS/article/view/14570 |
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| author | 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 |
| author_facet | 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 |
| author_sort | Rafaela Costa Martins |
| collection | DOAJ |
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The objective of this article was to describe patterns of losses of information regarding accelerometer data and to assess the use of multiple imputation to generate physical activity estimates for individuals without accelerometry data. Two birth cohort studies from Pelotas (Brazil) with participants aged 22 and 11-years old assessed objectively measured physical activity differences between complete and imputed cases. Mean values of overall physical activity for complete cases (n1993 = 2,985 and n2004 = 3,348) and for complete cases plus imputed cases (n1993 = 760 and n2004 = 79) were described according to predictors. Male individuals, participants with black skin color, and less schooled individuals presented higher averages of overall physical activity than their counterparts. Almost all imputed estimates were comparable to the complete cases, and the highest difference found was 0.7 mg for the first quintile of socioeconomic status of the 1993 birth cohort. Multiple imputation is a positive technique to deal with missing data from objectively measured physical activity. It provides a set of relevant variables to be used in order to efficiently predict accelerometer data.
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| format | Article |
| id | doaj-art-c9e4d3900dbd48c5abb15ad609110323 |
| institution | Kabale University |
| issn | 1413-3482 2317-1634 |
| language | English |
| publishDate | 2021-07-01 |
| publisher | Sociedade Brasileira de Atividade Física e Saúde |
| record_format | Article |
| series | Revista Brasileira de Atividade Física e Saúde |
| spelling | doaj-art-c9e4d3900dbd48c5abb15ad6091103232025-01-03T00:52:23ZengSociedade Brasileira de Atividade Física e SaúdeRevista Brasileira de Atividade Física e Saúde1413-34822317-16342021-07-012610.12820/rbafs.26e0209Multiple imputation to deal with missing objectively-measured physical activity data: findings from two cohortsRafaela Costa Martins0https://orcid.org/0000-0003-3538-7228Bruna Gonçalves C. da Silva1https://orcid.org/0000-0003-2917-7320Cauane Blumenberg2https://orcid.org/0000-0002-4580-3849Luiza Isnardi Ricardo3https://orcid.org/0000-0002-1244-4501Shana Ginar da Silva4https://orcid.org/0000-0003-1504-6936João Pedro Ribeiro5Alicia Matijasevich6https://orcid.org/0000-0003-0060-1589Ana Maria Baptista Menezes7Helen Gonçalves8Fernando César Wehrmeister9https://orcid.org/0000-0001-7137-1747Iná dos Santos10https://orcid.org/0000-0003-1258-9249Inácio Crochemore-Silva11https://orcid.org/0000-0001-5390-8360Aluísio JD Barros12Federal University of Pelotas, Post-graduate Program in Epidemiology, Pelotas, Rio Grande do Sul, Brazil.Federal University of Pelotas, Post-graduate Program in Epidemiology, Pelotas, Rio Grande do Sul, Brazil.Federal University of Pelotas, Post-graduate Program in Epidemiology, Pelotas, Rio Grande do Sul, Brazil.Federal University of Pelotas, Post-graduate Program in Epidemiology, Pelotas, Rio Grande do Sul, Brazil.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.Federal University of Pelotas, Faculty of Physical Education, Pelotas, Rio Grande do Sul, Brazil.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.Federal University of Pelotas, Post-graduate Program in Epidemiology, Pelotas, Rio Grande do Sul, Brazil.Federal University of Pelotas, Post-graduate Program in Epidemiology, Pelotas, Rio Grande do Sul, Brazil.Federal University of Pelotas, Post-graduate Program in Epidemiology, Pelotas, Rio Grande do Sul, Brazil.Federal University of Pelotas, Post-graduate Program in Epidemiology, Pelotas, Rio Grande do Sul, Brazil.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.Federal University of Pelotas, Post-graduate Program in Epidemiology, Pelotas, Rio Grande do Sul, Brazil. The objective of this article was to describe patterns of losses of information regarding accelerometer data and to assess the use of multiple imputation to generate physical activity estimates for individuals without accelerometry data. Two birth cohort studies from Pelotas (Brazil) with participants aged 22 and 11-years old assessed objectively measured physical activity differences between complete and imputed cases. Mean values of overall physical activity for complete cases (n1993 = 2,985 and n2004 = 3,348) and for complete cases plus imputed cases (n1993 = 760 and n2004 = 79) were described according to predictors. Male individuals, participants with black skin color, and less schooled individuals presented higher averages of overall physical activity than their counterparts. Almost all imputed estimates were comparable to the complete cases, and the highest difference found was 0.7 mg for the first quintile of socioeconomic status of the 1993 birth cohort. Multiple imputation is a positive technique to deal with missing data from objectively measured physical activity. It provides a set of relevant variables to be used in order to efficiently predict accelerometer data. https://rbafs.org.br/RBAFS/article/view/14570 |
| spellingShingle | 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 Multiple imputation to deal with missing objectively-measured physical activity data: findings from two cohorts Revista Brasileira de Atividade Física e Saúde |
| title | Multiple imputation to deal with missing objectively-measured physical activity data: findings from two cohorts |
| title_full | Multiple imputation to deal with missing objectively-measured physical activity data: findings from two cohorts |
| title_fullStr | Multiple imputation to deal with missing objectively-measured physical activity data: findings from two cohorts |
| title_full_unstemmed | Multiple imputation to deal with missing objectively-measured physical activity data: findings from two cohorts |
| title_short | Multiple imputation to deal with missing objectively-measured physical activity data: findings from two cohorts |
| title_sort | multiple imputation to deal with missing objectively measured physical activity data findings from two cohorts |
| url | https://rbafs.org.br/RBAFS/article/view/14570 |
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