Evaluation of waist-to-height ratio as a predictor of insulin resistance in non-diabetic obese individuals. A cross-sectional study

Detalhes bibliográficos
Autor(a) principal: Jamar,Giovana
Data de Publicação: 2017
Outros Autores: Almeida,Flávio Rossi de, Gagliardi,Antonio, Sobral,Marianna Ribeiro, Ping,Chao Tsai, Sperandio,Evandro, Romiti,Marcelo, Arantes,Rodolfo, Dourado,Victor Zuniga
Tipo de documento: Artigo
Idioma: eng
Título da fonte: São Paulo medical journal (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-31802017000500462
Resumo: ABSTRACT BACKGROUND: Insulin resistance (IR) and progressive pancreatic β-cell dysfunction have been identified as the two fundamental features in the pathogenesis of obesity and non-insulin-dependent diabetes mellitus. We aimed to investigate correlations between anthropometric indices of obesity and IR in non-diabetic obese individuals, and the cutoff value from receiver operating characteristic (ROC) curve analysis. DESIGN AND SETTING: Cross-sectional study conducted in a private clinic. METHODS: We included obese individuals (body mass index, BMI ≥ 30 kg/m2) with no diabetes mellitus (fasting glucose levels ≤ 126 mg/dl). The participants were evaluated for the presence of cardiovascular risk factors and through anthropometric measurements and biochemical tests. Furthermore, IR was assessed indirectly using the homeostatic model assessment (HOMA)-IR and HOMA-β indexes. The area underthe curve (AUC) of the variables was compared.The sensitivity, specificity and cutoff of each variable for diagnosing IR were calculated. RESULTS: The most promising anthropometric parameters for indicating IR in non-diabetic obese individuals were waist-to-height ratio (WHtR), waist circumference (WC) and BMI. WHtR proved to be an independent predictor of IR, with risk increased by 0.53% in HOMA-IR, 5.3% in HOMA-β and 1.14% in insulin. For HOMA-IR, WHtR had the highest AUC value (0.98), followed by WC (0.93) and BMI (0.81). For HOMA-β, WHtR also had the highest AUC value (0.83), followed by WC (0.75) and BMI (0.73).The optimal WHtR cutoff was 0.65 for HOMA-IR and 0.67 for HOMA-β. CONCLUSION: Among anthropometric obesity indicators, WHtR was most closely associated with occurrences of IR and predicted the onset of diabetes in obese individuals.
id APM-1_8e45f26e48b64e00222bd8a9662fc12b
oai_identifier_str oai:scielo:S1516-31802017000500462
network_acronym_str APM-1
network_name_str São Paulo medical journal (Online)
repository_id_str
spelling Evaluation of waist-to-height ratio as a predictor of insulin resistance in non-diabetic obese individuals. A cross-sectional studyAnthropometryObesityDiabetes mellitusABSTRACT BACKGROUND: Insulin resistance (IR) and progressive pancreatic β-cell dysfunction have been identified as the two fundamental features in the pathogenesis of obesity and non-insulin-dependent diabetes mellitus. We aimed to investigate correlations between anthropometric indices of obesity and IR in non-diabetic obese individuals, and the cutoff value from receiver operating characteristic (ROC) curve analysis. DESIGN AND SETTING: Cross-sectional study conducted in a private clinic. METHODS: We included obese individuals (body mass index, BMI ≥ 30 kg/m2) with no diabetes mellitus (fasting glucose levels ≤ 126 mg/dl). The participants were evaluated for the presence of cardiovascular risk factors and through anthropometric measurements and biochemical tests. Furthermore, IR was assessed indirectly using the homeostatic model assessment (HOMA)-IR and HOMA-β indexes. The area underthe curve (AUC) of the variables was compared.The sensitivity, specificity and cutoff of each variable for diagnosing IR were calculated. RESULTS: The most promising anthropometric parameters for indicating IR in non-diabetic obese individuals were waist-to-height ratio (WHtR), waist circumference (WC) and BMI. WHtR proved to be an independent predictor of IR, with risk increased by 0.53% in HOMA-IR, 5.3% in HOMA-β and 1.14% in insulin. For HOMA-IR, WHtR had the highest AUC value (0.98), followed by WC (0.93) and BMI (0.81). For HOMA-β, WHtR also had the highest AUC value (0.83), followed by WC (0.75) and BMI (0.73).The optimal WHtR cutoff was 0.65 for HOMA-IR and 0.67 for HOMA-β. CONCLUSION: Among anthropometric obesity indicators, WHtR was most closely associated with occurrences of IR and predicted the onset of diabetes in obese individuals.Associação Paulista de Medicina - APM2017-10-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-31802017000500462Sao Paulo Medical Journal v.135 n.5 2017reponame:São Paulo medical journal (Online)instname:Associação Paulista de Medicinainstacron:APM10.1590/1516-3180.2016.0358280417info:eu-repo/semantics/openAccessJamar,GiovanaAlmeida,Flávio Rossi deGagliardi,AntonioSobral,Marianna RibeiroPing,Chao TsaiSperandio,EvandroRomiti,MarceloArantes,RodolfoDourado,Victor Zunigaeng2017-11-30T00:00:00Zoai:scielo:S1516-31802017000500462Revistahttp://www.scielo.br/spmjhttps://old.scielo.br/oai/scielo-oai.phprevistas@apm.org.br1806-94601516-3180opendoar:2017-11-30T00:00São Paulo medical journal (Online) - Associação Paulista de Medicinafalse
dc.title.none.fl_str_mv Evaluation of waist-to-height ratio as a predictor of insulin resistance in non-diabetic obese individuals. A cross-sectional study
title Evaluation of waist-to-height ratio as a predictor of insulin resistance in non-diabetic obese individuals. A cross-sectional study
spellingShingle Evaluation of waist-to-height ratio as a predictor of insulin resistance in non-diabetic obese individuals. A cross-sectional study
Jamar,Giovana
Anthropometry
Obesity
Diabetes mellitus
title_short Evaluation of waist-to-height ratio as a predictor of insulin resistance in non-diabetic obese individuals. A cross-sectional study
title_full Evaluation of waist-to-height ratio as a predictor of insulin resistance in non-diabetic obese individuals. A cross-sectional study
title_fullStr Evaluation of waist-to-height ratio as a predictor of insulin resistance in non-diabetic obese individuals. A cross-sectional study
title_full_unstemmed Evaluation of waist-to-height ratio as a predictor of insulin resistance in non-diabetic obese individuals. A cross-sectional study
title_sort Evaluation of waist-to-height ratio as a predictor of insulin resistance in non-diabetic obese individuals. A cross-sectional study
author Jamar,Giovana
author_facet Jamar,Giovana
Almeida,Flávio Rossi de
Gagliardi,Antonio
Sobral,Marianna Ribeiro
Ping,Chao Tsai
Sperandio,Evandro
Romiti,Marcelo
Arantes,Rodolfo
Dourado,Victor Zuniga
author_role author
author2 Almeida,Flávio Rossi de
Gagliardi,Antonio
Sobral,Marianna Ribeiro
Ping,Chao Tsai
Sperandio,Evandro
Romiti,Marcelo
Arantes,Rodolfo
Dourado,Victor Zuniga
author2_role author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Jamar,Giovana
Almeida,Flávio Rossi de
Gagliardi,Antonio
Sobral,Marianna Ribeiro
Ping,Chao Tsai
Sperandio,Evandro
Romiti,Marcelo
Arantes,Rodolfo
Dourado,Victor Zuniga
dc.subject.por.fl_str_mv Anthropometry
Obesity
Diabetes mellitus
topic Anthropometry
Obesity
Diabetes mellitus
description ABSTRACT BACKGROUND: Insulin resistance (IR) and progressive pancreatic β-cell dysfunction have been identified as the two fundamental features in the pathogenesis of obesity and non-insulin-dependent diabetes mellitus. We aimed to investigate correlations between anthropometric indices of obesity and IR in non-diabetic obese individuals, and the cutoff value from receiver operating characteristic (ROC) curve analysis. DESIGN AND SETTING: Cross-sectional study conducted in a private clinic. METHODS: We included obese individuals (body mass index, BMI ≥ 30 kg/m2) with no diabetes mellitus (fasting glucose levels ≤ 126 mg/dl). The participants were evaluated for the presence of cardiovascular risk factors and through anthropometric measurements and biochemical tests. Furthermore, IR was assessed indirectly using the homeostatic model assessment (HOMA)-IR and HOMA-β indexes. The area underthe curve (AUC) of the variables was compared.The sensitivity, specificity and cutoff of each variable for diagnosing IR were calculated. RESULTS: The most promising anthropometric parameters for indicating IR in non-diabetic obese individuals were waist-to-height ratio (WHtR), waist circumference (WC) and BMI. WHtR proved to be an independent predictor of IR, with risk increased by 0.53% in HOMA-IR, 5.3% in HOMA-β and 1.14% in insulin. For HOMA-IR, WHtR had the highest AUC value (0.98), followed by WC (0.93) and BMI (0.81). For HOMA-β, WHtR also had the highest AUC value (0.83), followed by WC (0.75) and BMI (0.73).The optimal WHtR cutoff was 0.65 for HOMA-IR and 0.67 for HOMA-β. CONCLUSION: Among anthropometric obesity indicators, WHtR was most closely associated with occurrences of IR and predicted the onset of diabetes in obese individuals.
publishDate 2017
dc.date.none.fl_str_mv 2017-10-01
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=S1516-31802017000500462
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-31802017000500462
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1516-3180.2016.0358280417
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 Associação Paulista de Medicina - APM
publisher.none.fl_str_mv Associação Paulista de Medicina - APM
dc.source.none.fl_str_mv Sao Paulo Medical Journal v.135 n.5 2017
reponame:São Paulo medical journal (Online)
instname:Associação Paulista de Medicina
instacron:APM
instname_str Associação Paulista de Medicina
instacron_str APM
institution APM
reponame_str São Paulo medical journal (Online)
collection São Paulo medical journal (Online)
repository.name.fl_str_mv São Paulo medical journal (Online) - Associação Paulista de Medicina
repository.mail.fl_str_mv revistas@apm.org.br
_version_ 1754209265792319488