Homeostasis model assessment of insulin resistance (Homa-IR) and metabolic syndrome at baseline of a multicentric Brazilian cohort

Elsa-Brasil study

Bibliographic Data

ID5223335
AuthorsMaria De Fátima Haueisen Sander Diniz (0000-0001-9146-5003, Universidade Federal de Minas Gerais), Alline Maria R Beleigoli (0000-0002-7848-3183, Flinders University), Maria Ines Schmidt (0000-0002-3837-0731, Universidade Federal do Rio Grande do Sul), Bruce B Duncan (0000-0002-7491-2630, Flinders University), Antônio Luiz P Ribeiro (0000-0002-0364-3584, Universidade Federal de Minas Gerais), Pedro G Vidigal (0000-0001-8035-1350, Universidade Federal de Minas Gerais), Isabela Judith Martins Bensenor (0000-0002-6723-5678, Universidade de São Paulo), Paulo A Lotufo (0000-0002-4856-8450, Universidade de São Paulo), Ivonete Da Silva Santos (0000-0003-3212-8466, Universidade de São Paulo), Rosane Harter Griep (0000-0002-6250-2036, Fundação Oswaldo Cruz), Sandhi Maria Barreto (0000-0001-7383-7811, Universidade Federal de Minas Gerais)
Year2020
Volume36
Issue8
Pagese00072120-e00072120
Publication date2020-01-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueCadernos de Saude Publica (JOURNAL)
Journal identifiersISSN: 0102-311X • E-ISSN: 1678-4464
PublisherFapUNIFESP (SciELO) (PUBLISHER)
DOI10.1590/0102-311x00072120
PMID32901702
OpenAlexW3081623545
SCIELO_PIDS0102-311X2020000806001
LanguageEN
Citations received1
References cited9

Homeostasis model assessment of insulin resistance (HOMA-IR) is a method to measure insulin resistance. HOMA-IR cut-offs for identifying metabolic syndrome might vary across populations and body mass index (BMI) levels. We aimed to investigate HOMA-insulin resistance cut-offs that best discriminate individuals with insulin resistance and with metabolic syndrome for each BMI category in a large sample of adults without diabetes in the baseline of the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). Among the 12,313 participants with mean age of 51.2 (SD 8.9) years, the prevalence of metabolic syndrome was 34.6%, and 60.1% had overweight or obesity. The prevalence of metabolic syndrome among normal weight, overweight and obesity categories were, respectively, 13%, 43.2% and 60.7%. The point of maximum combined sensitivity and specificity of HOMA-IR to discriminate the metabolic syndrome was 2.35 in the whole sample, with increasing values at higher BMI categories. This investigation contributes to better understanding HOMA-IR values associated with insulin resistance and metabolic syndrome in a large Brazilian adult sample, and that use of cut-off points according to ROC curve may be the better strategy. It also suggests that different values might be appropriate across BMI categories

Body mass index · Cohort · Homeostatic model assessment · Insulin resistance · Metabolic syndrome · Obesity · Overweight · Adipokines, Inflammation, and Metabolic Diseases · Diabetes, Cardiovascular Risks, and Lipoproteins · Endocrinology · Internal Medicine · Medicine · Obesity, Physical Activity, Diet