Can neck circumference predict insulin resistance in older people? A cross-sectional study at primary care in Brazil
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Cadernos de Saúde Pública |
Texto Completo: | https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/6528 |
Resumo: | This study focused on the correlation between neck circumference and other anthropometric measurements and cardiovascular risk factors and insulin resistance in the elderly in Niterói, Rio de Janeiro State, Brazil. This was a cross-sectional study in 411 patients seen in primary care. Anthropometric measurements including neck circumference, body mass index (BMI), waist circumference (WC), and waist-hip ratio (WHR) were recorded. Bioelectrical impedance analysis (BIA) estimated the percentage of total body fat (%TBF). Insulin resistance was estimated by HOMA-IR (homeostasis model assessment IR index). The data were analyzed by the Mann-Whitney test and the correlation between numerical variables by Spearman’s test. Receiver operating characteristic (ROC) was used to assess the anthropometric measurements’ predictive capacity to diagnosis insulin resistance. Neck circumference was positively correlated with WC, BMI, WHR, %TBF, and HOMA-IR in both sexes. In women, neck circumference showed higher AUC (area under the curve) for insulin resistance. In men, WC showed higher AUC, followed by BMI and neck circumference. The current study in Southeast Brazil suggests that neck circumference can predict insulin resistance, an important marker of cardiovascular risk in the elderly population treated in primary care. |
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Can neck circumference predict insulin resistance in older people? A cross-sectional study at primary care in BrazilAnthropometryCardiovascular DiseasesInsulin ResistanceAgedThis study focused on the correlation between neck circumference and other anthropometric measurements and cardiovascular risk factors and insulin resistance in the elderly in Niterói, Rio de Janeiro State, Brazil. This was a cross-sectional study in 411 patients seen in primary care. Anthropometric measurements including neck circumference, body mass index (BMI), waist circumference (WC), and waist-hip ratio (WHR) were recorded. Bioelectrical impedance analysis (BIA) estimated the percentage of total body fat (%TBF). Insulin resistance was estimated by HOMA-IR (homeostasis model assessment IR index). The data were analyzed by the Mann-Whitney test and the correlation between numerical variables by Spearman’s test. Receiver operating characteristic (ROC) was used to assess the anthropometric measurements’ predictive capacity to diagnosis insulin resistance. Neck circumference was positively correlated with WC, BMI, WHR, %TBF, and HOMA-IR in both sexes. In women, neck circumference showed higher AUC (area under the curve) for insulin resistance. In men, WC showed higher AUC, followed by BMI and neck circumference. The current study in Southeast Brazil suggests that neck circumference can predict insulin resistance, an important marker of cardiovascular risk in the elderly population treated in primary care.El presente estudio investigó la correlación de la circunferencia del cuello (CP) y otras medidas antropométricas con los factores de riesgo cardiovasculares y resistencia a la insulina (RI) en ancianos de Niterói, Río de Janeiro, Brasil. Fue realizado estudio transversal con 411 pacientes en la atención primaria de salud. Medidas antropométricas como CP, índice de masa corporal (IMC), circunferencia de la cintura (CC) y razón cintura-cadera (RCC) fueron tomadas con precisión. La bioimpedancia eléctrica (BIA) estimó el porcentaje de la grasa corporal total (%GC). La resistencia a la insulina se estimó por el HOMA-IR (homeostasis model assessment IR index). Los datos se analizaron utilizando el test de Mann-Whitney y la correlación entre las variables numéricas por el test de Spearman. La curva ROC (receiver operating characteristic) fue utilizada para evaluar la capacidad predictiva de las medidas antropométricas en el diagnóstico de RI. La CP fue positivamente correlacionada con la CC, el IMC, RCC, %TBF y con el HOMA-IR en ambos sexos. En las mujeres, la CP presentó la mayor AUC (área bajo la curva) para RI. En los hombres, la CC presentó la mayor AUC, seguido por el IMC y CP. El presente estudio realizado en el sudeste de Brasil sugiere que la CP puede predecir la RI, importante marcador de riesgo cardiovascular, en la población anciana atendida en la atención primaria de salud.O presente estudo investigou a correlação da circunferência do pescoço (CP) e outras medidas antropométricas com os fatores de risco cardiovasculares e resistência insulínica (RI) em idosos de Niterói, Rio de Janeiro, Brasil. Foi realizado estudo transversal com 411 pacientes na atenção primária de saúde. Medidas antropométricas como CP, índice de massa corporal (IMC), circunferência da cintura (CC) e razão cintura-quadril (RCQ) foram aferidas. A bioimpedância elétrica (BIA) estimou o percentual da gordura corporal total (%GC). A resistência à insulina foi estimada pelo HOMA-IR (homeostasis model assessment IR index). Os dados foram analisados utilizando o teste de Mann-Whitney e a correlação entre as variáveis numéricas pelo teste de Spearman. A curva ROC (receiver operating characteristic) foi utilizada para avaliar a capacidade preditiva das medidas antropométricas no diagnóstico de RI. A CP foi positivamente correlacionada com a CC, o IMC, RCQ, %TBF e com o HOMA-IR em ambos os sexos. Nas mulheres, a CP apresentou a maior AUC (área sob a curva) para RI. Nos homens, a CC apresentou a maior AUC, seguido pelo IMC e CP. O presente estudo realizado no Sudeste do Brasil sugere que a CP pode predizer a RI, importante marcador de risco cardiovascular, na população idosa atendida na atenção primária de saúde.Reports in Public HealthCadernos de Saúde Pública2017-08-21info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlapplication/pdfhttps://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/6528Reports in Public Health; Vol. 33 No. 8 (2017): AugustCadernos de Saúde Pública; v. 33 n. 8 (2017): Agosto1678-44640102-311Xreponame:Cadernos de Saúde Públicainstname:Fundação Oswaldo Cruz (FIOCRUZ)instacron:FIOCRUZenghttps://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/6528/13988https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/6528/13989Maria Auxiliadora Nogueira SaadMaria Luiza Garcia RosaGiovanna Balarini LimaRubens Antunes da Cruz Filhoinfo:eu-repo/semantics/openAccess2024-03-06T15:29:23Zoai:ojs.teste-cadernos.ensp.fiocruz.br:article/6528Revistahttps://cadernos.ensp.fiocruz.br/ojs/index.php/csphttps://cadernos.ensp.fiocruz.br/ojs/index.php/csp/oaicadernos@ensp.fiocruz.br||cadernos@ensp.fiocruz.br1678-44640102-311Xopendoar:2024-03-06T13:07:29.123016Cadernos de Saúde Pública - Fundação Oswaldo Cruz (FIOCRUZ)true |
dc.title.none.fl_str_mv |
Can neck circumference predict insulin resistance in older people? A cross-sectional study at primary care in Brazil |
title |
Can neck circumference predict insulin resistance in older people? A cross-sectional study at primary care in Brazil |
spellingShingle |
Can neck circumference predict insulin resistance in older people? A cross-sectional study at primary care in Brazil Maria Auxiliadora Nogueira Saad Anthropometry Cardiovascular Diseases Insulin Resistance Aged |
title_short |
Can neck circumference predict insulin resistance in older people? A cross-sectional study at primary care in Brazil |
title_full |
Can neck circumference predict insulin resistance in older people? A cross-sectional study at primary care in Brazil |
title_fullStr |
Can neck circumference predict insulin resistance in older people? A cross-sectional study at primary care in Brazil |
title_full_unstemmed |
Can neck circumference predict insulin resistance in older people? A cross-sectional study at primary care in Brazil |
title_sort |
Can neck circumference predict insulin resistance in older people? A cross-sectional study at primary care in Brazil |
author |
Maria Auxiliadora Nogueira Saad |
author_facet |
Maria Auxiliadora Nogueira Saad Maria Luiza Garcia Rosa Giovanna Balarini Lima Rubens Antunes da Cruz Filho |
author_role |
author |
author2 |
Maria Luiza Garcia Rosa Giovanna Balarini Lima Rubens Antunes da Cruz Filho |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Maria Auxiliadora Nogueira Saad Maria Luiza Garcia Rosa Giovanna Balarini Lima Rubens Antunes da Cruz Filho |
dc.subject.por.fl_str_mv |
Anthropometry Cardiovascular Diseases Insulin Resistance Aged |
topic |
Anthropometry Cardiovascular Diseases Insulin Resistance Aged |
description |
This study focused on the correlation between neck circumference and other anthropometric measurements and cardiovascular risk factors and insulin resistance in the elderly in Niterói, Rio de Janeiro State, Brazil. This was a cross-sectional study in 411 patients seen in primary care. Anthropometric measurements including neck circumference, body mass index (BMI), waist circumference (WC), and waist-hip ratio (WHR) were recorded. Bioelectrical impedance analysis (BIA) estimated the percentage of total body fat (%TBF). Insulin resistance was estimated by HOMA-IR (homeostasis model assessment IR index). The data were analyzed by the Mann-Whitney test and the correlation between numerical variables by Spearman’s test. Receiver operating characteristic (ROC) was used to assess the anthropometric measurements’ predictive capacity to diagnosis insulin resistance. Neck circumference was positively correlated with WC, BMI, WHR, %TBF, and HOMA-IR in both sexes. In women, neck circumference showed higher AUC (area under the curve) for insulin resistance. In men, WC showed higher AUC, followed by BMI and neck circumference. The current study in Southeast Brazil suggests that neck circumference can predict insulin resistance, an important marker of cardiovascular risk in the elderly population treated in primary care. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-08-21 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/6528 |
url |
https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/6528 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/6528/13988 https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/6528/13989 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html application/pdf |
dc.publisher.none.fl_str_mv |
Reports in Public Health Cadernos de Saúde Pública |
publisher.none.fl_str_mv |
Reports in Public Health Cadernos de Saúde Pública |
dc.source.none.fl_str_mv |
Reports in Public Health; Vol. 33 No. 8 (2017): August Cadernos de Saúde Pública; v. 33 n. 8 (2017): Agosto 1678-4464 0102-311X reponame:Cadernos de Saúde Pública instname:Fundação Oswaldo Cruz (FIOCRUZ) instacron:FIOCRUZ |
instname_str |
Fundação Oswaldo Cruz (FIOCRUZ) |
instacron_str |
FIOCRUZ |
institution |
FIOCRUZ |
reponame_str |
Cadernos de Saúde Pública |
collection |
Cadernos de Saúde Pública |
repository.name.fl_str_mv |
Cadernos de Saúde Pública - Fundação Oswaldo Cruz (FIOCRUZ) |
repository.mail.fl_str_mv |
cadernos@ensp.fiocruz.br||cadernos@ensp.fiocruz.br |
_version_ |
1798943384888410112 |