Assessing usual dietary intake in complex sample design surveys: the National Dietary Survey

Detalhes bibliográficos
Autor(a) principal: Barbosa,Flávia dos Santos
Data de Publicação: 2013
Outros Autores: Sichieri,Rosely, Junger,Washington Leite
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista de Saúde Pública
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102013000700003
Resumo: The National Cancer Institute (NCI) method allows the distributions of usual intake of nutrients and foods to be estimated. This method can be used in complex surveys. However, the user must perform additional calculations, such as balanced repeated replication (BRR), in order to obtain standard errors and confidence intervals for the percentiles and mean from the distribution of usual intake. The objective is to highlight adaptations of the NCI method using data from the National Dietary Survey. The application of the NCI method was exemplified analyzing the total energy (kcal) and fruit (g) intake, comparing estimations of mean and standard deviation that were based on the complex design of the Brazilian survey with those assuming simple random sample. Although means point estimates were similar, estimates of standard error using the complex design increased by up to 60% compared to simple random sample. Thus, for valid estimates of food and energy intake for the population, all of the sampling characteristics of the surveys should be taken into account because when these characteristics are neglected, statistical analysis may produce underestimated standard errors that would compromise the results and the conclusions of the survey.
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spelling Assessing usual dietary intake in complex sample design surveys: the National Dietary SurveyFood HabitsNutrition AssessmentDiet SurveysutilizationComplex samplesThe National Cancer Institute (NCI) method allows the distributions of usual intake of nutrients and foods to be estimated. This method can be used in complex surveys. However, the user must perform additional calculations, such as balanced repeated replication (BRR), in order to obtain standard errors and confidence intervals for the percentiles and mean from the distribution of usual intake. The objective is to highlight adaptations of the NCI method using data from the National Dietary Survey. The application of the NCI method was exemplified analyzing the total energy (kcal) and fruit (g) intake, comparing estimations of mean and standard deviation that were based on the complex design of the Brazilian survey with those assuming simple random sample. Although means point estimates were similar, estimates of standard error using the complex design increased by up to 60% compared to simple random sample. Thus, for valid estimates of food and energy intake for the population, all of the sampling characteristics of the surveys should be taken into account because when these characteristics are neglected, statistical analysis may produce underestimated standard errors that would compromise the results and the conclusions of the survey.Faculdade de Saúde Pública da Universidade de São Paulo2013-02-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102013000700003Revista de Saúde Pública v.47 suppl.1 2013reponame:Revista de Saúde Públicainstname:Universidade de São Paulo (USP)instacron:USP10.1590/S0034-89102013000700003info:eu-repo/semantics/openAccessBarbosa,Flávia dos SantosSichieri,RoselyJunger,Washington Leiteeng2013-05-20T00:00:00Zoai:scielo:S0034-89102013000700003Revistahttp://www.scielo.br/scielo.php?script=sci_serial&pid=0034-8910&lng=pt&nrm=isoONGhttps://old.scielo.br/oai/scielo-oai.phprevsp@org.usp.br||revsp1@usp.br1518-87870034-8910opendoar:2013-05-20T00:00Revista de Saúde Pública - Universidade de São Paulo (USP)false
dc.title.none.fl_str_mv Assessing usual dietary intake in complex sample design surveys: the National Dietary Survey
title Assessing usual dietary intake in complex sample design surveys: the National Dietary Survey
spellingShingle Assessing usual dietary intake in complex sample design surveys: the National Dietary Survey
Barbosa,Flávia dos Santos
Food Habits
Nutrition Assessment
Diet Surveys
utilization
Complex samples
title_short Assessing usual dietary intake in complex sample design surveys: the National Dietary Survey
title_full Assessing usual dietary intake in complex sample design surveys: the National Dietary Survey
title_fullStr Assessing usual dietary intake in complex sample design surveys: the National Dietary Survey
title_full_unstemmed Assessing usual dietary intake in complex sample design surveys: the National Dietary Survey
title_sort Assessing usual dietary intake in complex sample design surveys: the National Dietary Survey
author Barbosa,Flávia dos Santos
author_facet Barbosa,Flávia dos Santos
Sichieri,Rosely
Junger,Washington Leite
author_role author
author2 Sichieri,Rosely
Junger,Washington Leite
author2_role author
author
dc.contributor.author.fl_str_mv Barbosa,Flávia dos Santos
Sichieri,Rosely
Junger,Washington Leite
dc.subject.por.fl_str_mv Food Habits
Nutrition Assessment
Diet Surveys
utilization
Complex samples
topic Food Habits
Nutrition Assessment
Diet Surveys
utilization
Complex samples
description The National Cancer Institute (NCI) method allows the distributions of usual intake of nutrients and foods to be estimated. This method can be used in complex surveys. However, the user must perform additional calculations, such as balanced repeated replication (BRR), in order to obtain standard errors and confidence intervals for the percentiles and mean from the distribution of usual intake. The objective is to highlight adaptations of the NCI method using data from the National Dietary Survey. The application of the NCI method was exemplified analyzing the total energy (kcal) and fruit (g) intake, comparing estimations of mean and standard deviation that were based on the complex design of the Brazilian survey with those assuming simple random sample. Although means point estimates were similar, estimates of standard error using the complex design increased by up to 60% compared to simple random sample. Thus, for valid estimates of food and energy intake for the population, all of the sampling characteristics of the surveys should be taken into account because when these characteristics are neglected, statistical analysis may produce underestimated standard errors that would compromise the results and the conclusions of the survey.
publishDate 2013
dc.date.none.fl_str_mv 2013-02-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102013000700003
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102013000700003
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0034-89102013000700003
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Faculdade de Saúde Pública da Universidade de São Paulo
publisher.none.fl_str_mv Faculdade de Saúde Pública da Universidade de São Paulo
dc.source.none.fl_str_mv Revista de Saúde Pública v.47 suppl.1 2013
reponame:Revista de Saúde Pública
instname:Universidade de São Paulo (USP)
instacron:USP
instname_str Universidade de São Paulo (USP)
instacron_str USP
institution USP
reponame_str Revista de Saúde Pública
collection Revista de Saúde Pública
repository.name.fl_str_mv Revista de Saúde Pública - Universidade de São Paulo (USP)
repository.mail.fl_str_mv revsp@org.usp.br||revsp1@usp.br
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