Assessing usual dietary intake in complex sample design surveys: the National Dietary Survey
Autor(a) principal: | |
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Data de Publicação: | 2013 |
Outros Autores: | , |
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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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 |
_version_ |
1748936502309552128 |