Performance of adiposity indicators in predicting metabolic syndrome in older adults
Autor(a) principal: | |
---|---|
Data de Publicação: | 2021 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Arquivos de Endocrinologia e Metabolismo (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2359-39972021000500588 |
Resumo: | ABSTRACT Objective: To evaluate the association between some indicators of adiposity and markers of metabolic disorder, evaluate their performance in predicting metabolic syndrome (MetS), and identify their cutoff values among older adults, both in the overall sample and according to sex. Subjects and methods: Cross-sectional study in 159 older men and women. MetS was defined according to the harmonized criteria. The assessments included waist circumference (WC), waist-to-height ratio (WHtR), conicity index (C index), lipid accumulation product (LAP), visceral adiposity index (VAI), body mass index (BMI), A body shape index (ABSI), area under the receiver operating characteristic curve (AUC), sensitivity, and specificity. Results: LAP and WHtR resulted in the largest AUC values (>0.80). In both sexes, the best indicators were LAP, WC, and WHtR. Both LAP and WHtR presented the highest Youden's index values in the overall sample, with cutoff values of approximately 46.9 (sensitivity 75.0%, specificity 76.7%) and 0.56 (sensitivity 79.3%, specificity 69.8%), respectively. When analyzed by sex, BMI, WC, WHtR, and LAP yielded the highest Youden's index values for the prediction of MetS in older women. Conclusion: The indicators LAP, WC, and WHtR performed well in identifying the presence of MetS in older women and could be used to individually or collectively assess and monitor MetS. |
id |
SBEM-1_40bf51217ee22bd08666b621bf80756a |
---|---|
oai_identifier_str |
oai:scielo:S2359-39972021000500588 |
network_acronym_str |
SBEM-1 |
network_name_str |
Arquivos de Endocrinologia e Metabolismo (Online) |
repository_id_str |
|
spelling |
Performance of adiposity indicators in predicting metabolic syndrome in older adultsMetabolic syndromebody compositionanthropometryadiposityagingABSTRACT Objective: To evaluate the association between some indicators of adiposity and markers of metabolic disorder, evaluate their performance in predicting metabolic syndrome (MetS), and identify their cutoff values among older adults, both in the overall sample and according to sex. Subjects and methods: Cross-sectional study in 159 older men and women. MetS was defined according to the harmonized criteria. The assessments included waist circumference (WC), waist-to-height ratio (WHtR), conicity index (C index), lipid accumulation product (LAP), visceral adiposity index (VAI), body mass index (BMI), A body shape index (ABSI), area under the receiver operating characteristic curve (AUC), sensitivity, and specificity. Results: LAP and WHtR resulted in the largest AUC values (>0.80). In both sexes, the best indicators were LAP, WC, and WHtR. Both LAP and WHtR presented the highest Youden's index values in the overall sample, with cutoff values of approximately 46.9 (sensitivity 75.0%, specificity 76.7%) and 0.56 (sensitivity 79.3%, specificity 69.8%), respectively. When analyzed by sex, BMI, WC, WHtR, and LAP yielded the highest Youden's index values for the prediction of MetS in older women. Conclusion: The indicators LAP, WC, and WHtR performed well in identifying the presence of MetS in older women and could be used to individually or collectively assess and monitor MetS.Sociedade Brasileira de Endocrinologia e Metabologia2021-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2359-39972021000500588Archives of Endocrinology and Metabolism v.65 n.5 2021reponame:Arquivos de Endocrinologia e Metabolismo (Online)instname:Sociedade Brasileira de Endocrinologia e Metabologia (SBEM)instacron:SBEM10.20945/2359-3997000000372info:eu-repo/semantics/openAccessAlves,Luana FerreiraCruz,Jeofran Oliveirada Costa Souza,Adriana Luciade Oliveira,Carolina Cunhaeng2021-11-10T00:00:00Zoai:scielo:S2359-39972021000500588Revistahttps://www.aem-sbem.com/https://old.scielo.br/oai/scielo-oai.php||aem.editorial.office@endocrino.org.br2359-42922359-3997opendoar:2021-11-10T00:00Arquivos de Endocrinologia e Metabolismo (Online) - Sociedade Brasileira de Endocrinologia e Metabologia (SBEM)false |
dc.title.none.fl_str_mv |
Performance of adiposity indicators in predicting metabolic syndrome in older adults |
title |
Performance of adiposity indicators in predicting metabolic syndrome in older adults |
spellingShingle |
Performance of adiposity indicators in predicting metabolic syndrome in older adults Alves,Luana Ferreira Metabolic syndrome body composition anthropometry adiposity aging |
title_short |
Performance of adiposity indicators in predicting metabolic syndrome in older adults |
title_full |
Performance of adiposity indicators in predicting metabolic syndrome in older adults |
title_fullStr |
Performance of adiposity indicators in predicting metabolic syndrome in older adults |
title_full_unstemmed |
Performance of adiposity indicators in predicting metabolic syndrome in older adults |
title_sort |
Performance of adiposity indicators in predicting metabolic syndrome in older adults |
author |
Alves,Luana Ferreira |
author_facet |
Alves,Luana Ferreira Cruz,Jeofran Oliveira da Costa Souza,Adriana Lucia de Oliveira,Carolina Cunha |
author_role |
author |
author2 |
Cruz,Jeofran Oliveira da Costa Souza,Adriana Lucia de Oliveira,Carolina Cunha |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Alves,Luana Ferreira Cruz,Jeofran Oliveira da Costa Souza,Adriana Lucia de Oliveira,Carolina Cunha |
dc.subject.por.fl_str_mv |
Metabolic syndrome body composition anthropometry adiposity aging |
topic |
Metabolic syndrome body composition anthropometry adiposity aging |
description |
ABSTRACT Objective: To evaluate the association between some indicators of adiposity and markers of metabolic disorder, evaluate their performance in predicting metabolic syndrome (MetS), and identify their cutoff values among older adults, both in the overall sample and according to sex. Subjects and methods: Cross-sectional study in 159 older men and women. MetS was defined according to the harmonized criteria. The assessments included waist circumference (WC), waist-to-height ratio (WHtR), conicity index (C index), lipid accumulation product (LAP), visceral adiposity index (VAI), body mass index (BMI), A body shape index (ABSI), area under the receiver operating characteristic curve (AUC), sensitivity, and specificity. Results: LAP and WHtR resulted in the largest AUC values (>0.80). In both sexes, the best indicators were LAP, WC, and WHtR. Both LAP and WHtR presented the highest Youden's index values in the overall sample, with cutoff values of approximately 46.9 (sensitivity 75.0%, specificity 76.7%) and 0.56 (sensitivity 79.3%, specificity 69.8%), respectively. When analyzed by sex, BMI, WC, WHtR, and LAP yielded the highest Youden's index values for the prediction of MetS in older women. Conclusion: The indicators LAP, WC, and WHtR performed well in identifying the presence of MetS in older women and could be used to individually or collectively assess and monitor MetS. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-01-01 |
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=S2359-39972021000500588 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2359-39972021000500588 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.20945/2359-3997000000372 |
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 |
Sociedade Brasileira de Endocrinologia e Metabologia |
publisher.none.fl_str_mv |
Sociedade Brasileira de Endocrinologia e Metabologia |
dc.source.none.fl_str_mv |
Archives of Endocrinology and Metabolism v.65 n.5 2021 reponame:Arquivos de Endocrinologia e Metabolismo (Online) instname:Sociedade Brasileira de Endocrinologia e Metabologia (SBEM) instacron:SBEM |
instname_str |
Sociedade Brasileira de Endocrinologia e Metabologia (SBEM) |
instacron_str |
SBEM |
institution |
SBEM |
reponame_str |
Arquivos de Endocrinologia e Metabolismo (Online) |
collection |
Arquivos de Endocrinologia e Metabolismo (Online) |
repository.name.fl_str_mv |
Arquivos de Endocrinologia e Metabolismo (Online) - Sociedade Brasileira de Endocrinologia e Metabologia (SBEM) |
repository.mail.fl_str_mv |
||aem.editorial.office@endocrino.org.br |
_version_ |
1752122518055944192 |