Dietary patterns and cardiometabolic risk factors of a federal public institution staff in the northern region of Brazil
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista de Nutrição |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-52732022000100331 |
Resumo: | ABSTRACT Objective To identify dietary patterns in an adult population and assess those patterns association with cardiometabolic risk factors. Methods Cross-sectional study conducted with 130 workers of a university in Tocantins, Brazil, aged 20-59 years. Dietary patterns were identified by principal component analysis based on a food frequency questionnaire. Body mass index, waist circumference, blood pressure, fasting glycemia, triacylglycerols, low-density lipoprotein and high-density lipoprotein cholesterol were measured. Multinomial logistic regression was used to assess the association between dietary patterns and cardiometabolic risk factors. Results Three dietary patterns were identified that together explained 78.74% of total variance: healthy, western and fit dietary patterns. In the adjusted model, greater adherence to the healthy pattern was associated with lower fasting glucose values (OR: 0.89; 95%IC: 0.82-0.97; p=0.009) and with higher concentrations of low-density lipoprotein cholesterol (OR: 1.02; 95%IC: 1.00-1.04; p=0.024); the western dietary pattern was associated with higher fasting glucose values (OR: 1.06; 95%IC: 1.00-1.13; p=0.05) and the fit pattern was associated with lower concentrations of low-density lipoprotein cholesterol (OR: 0.98; 95%IC: 0.97-0.99; p=0.048). Conclusion Food was an important risk and protective factor for cardiometabolic changes. |
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Dietary patterns and cardiometabolic risk factors of a federal public institution staff in the northern region of BrazilAdultsCardiovascular diseasesFood consumptionRisk factorsABSTRACT Objective To identify dietary patterns in an adult population and assess those patterns association with cardiometabolic risk factors. Methods Cross-sectional study conducted with 130 workers of a university in Tocantins, Brazil, aged 20-59 years. Dietary patterns were identified by principal component analysis based on a food frequency questionnaire. Body mass index, waist circumference, blood pressure, fasting glycemia, triacylglycerols, low-density lipoprotein and high-density lipoprotein cholesterol were measured. Multinomial logistic regression was used to assess the association between dietary patterns and cardiometabolic risk factors. Results Three dietary patterns were identified that together explained 78.74% of total variance: healthy, western and fit dietary patterns. In the adjusted model, greater adherence to the healthy pattern was associated with lower fasting glucose values (OR: 0.89; 95%IC: 0.82-0.97; p=0.009) and with higher concentrations of low-density lipoprotein cholesterol (OR: 1.02; 95%IC: 1.00-1.04; p=0.024); the western dietary pattern was associated with higher fasting glucose values (OR: 1.06; 95%IC: 1.00-1.13; p=0.05) and the fit pattern was associated with lower concentrations of low-density lipoprotein cholesterol (OR: 0.98; 95%IC: 0.97-0.99; p=0.048). Conclusion Food was an important risk and protective factor for cardiometabolic changes.Pontifícia Universidade Católica de Campinas2022-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-52732022000100331Revista de Nutrição v.35 2022reponame:Revista de Nutriçãoinstname:Pontifícia Universidade Católica de Campinas (PUC-CAMPINAS)instacron:PUC_CAMP10.1590/1678-9865202235e210102info:eu-repo/semantics/openAccessLOPES,Elisama CostaREZENDE,Fabiane Aparecida CanaanPEREIRA,Renata Junqueiraeng2022-09-08T00:00:00Zoai:scielo:S1415-52732022000100331Revistahttp://www.scielo.br/rnONGhttps://old.scielo.br/oai/scielo-oai.php||sbi.submissionrn@puc-campinas.edu.br1678-98651415-5273opendoar:2022-09-08T00:00Revista de Nutrição - Pontifícia Universidade Católica de Campinas (PUC-CAMPINAS)false |
dc.title.none.fl_str_mv |
Dietary patterns and cardiometabolic risk factors of a federal public institution staff in the northern region of Brazil |
title |
Dietary patterns and cardiometabolic risk factors of a federal public institution staff in the northern region of Brazil |
spellingShingle |
Dietary patterns and cardiometabolic risk factors of a federal public institution staff in the northern region of Brazil LOPES,Elisama Costa Adults Cardiovascular diseases Food consumption Risk factors |
title_short |
Dietary patterns and cardiometabolic risk factors of a federal public institution staff in the northern region of Brazil |
title_full |
Dietary patterns and cardiometabolic risk factors of a federal public institution staff in the northern region of Brazil |
title_fullStr |
Dietary patterns and cardiometabolic risk factors of a federal public institution staff in the northern region of Brazil |
title_full_unstemmed |
Dietary patterns and cardiometabolic risk factors of a federal public institution staff in the northern region of Brazil |
title_sort |
Dietary patterns and cardiometabolic risk factors of a federal public institution staff in the northern region of Brazil |
author |
LOPES,Elisama Costa |
author_facet |
LOPES,Elisama Costa REZENDE,Fabiane Aparecida Canaan PEREIRA,Renata Junqueira |
author_role |
author |
author2 |
REZENDE,Fabiane Aparecida Canaan PEREIRA,Renata Junqueira |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
LOPES,Elisama Costa REZENDE,Fabiane Aparecida Canaan PEREIRA,Renata Junqueira |
dc.subject.por.fl_str_mv |
Adults Cardiovascular diseases Food consumption Risk factors |
topic |
Adults Cardiovascular diseases Food consumption Risk factors |
description |
ABSTRACT Objective To identify dietary patterns in an adult population and assess those patterns association with cardiometabolic risk factors. Methods Cross-sectional study conducted with 130 workers of a university in Tocantins, Brazil, aged 20-59 years. Dietary patterns were identified by principal component analysis based on a food frequency questionnaire. Body mass index, waist circumference, blood pressure, fasting glycemia, triacylglycerols, low-density lipoprotein and high-density lipoprotein cholesterol were measured. Multinomial logistic regression was used to assess the association between dietary patterns and cardiometabolic risk factors. Results Three dietary patterns were identified that together explained 78.74% of total variance: healthy, western and fit dietary patterns. In the adjusted model, greater adherence to the healthy pattern was associated with lower fasting glucose values (OR: 0.89; 95%IC: 0.82-0.97; p=0.009) and with higher concentrations of low-density lipoprotein cholesterol (OR: 1.02; 95%IC: 1.00-1.04; p=0.024); the western dietary pattern was associated with higher fasting glucose values (OR: 1.06; 95%IC: 1.00-1.13; p=0.05) and the fit pattern was associated with lower concentrations of low-density lipoprotein cholesterol (OR: 0.98; 95%IC: 0.97-0.99; p=0.048). Conclusion Food was an important risk and protective factor for cardiometabolic changes. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-01-01 |
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=S1415-52732022000100331 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-52732022000100331 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/1678-9865202235e210102 |
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 |
Pontifícia Universidade Católica de Campinas |
publisher.none.fl_str_mv |
Pontifícia Universidade Católica de Campinas |
dc.source.none.fl_str_mv |
Revista de Nutrição v.35 2022 reponame:Revista de Nutrição instname:Pontifícia Universidade Católica de Campinas (PUC-CAMPINAS) instacron:PUC_CAMP |
instname_str |
Pontifícia Universidade Católica de Campinas (PUC-CAMPINAS) |
instacron_str |
PUC_CAMP |
institution |
PUC_CAMP |
reponame_str |
Revista de Nutrição |
collection |
Revista de Nutrição |
repository.name.fl_str_mv |
Revista de Nutrição - Pontifícia Universidade Católica de Campinas (PUC-CAMPINAS) |
repository.mail.fl_str_mv |
||sbi.submissionrn@puc-campinas.edu.br |
_version_ |
1752128820925693952 |