Optimal cut-off of homeostasis model assessment of insulin resistance (HOMA-IR) for the diagnosis of metabolic syndrome: third national surveillance of risk factors of non-communicable diseases in Iran (SuRFNCD-2007)

نویسندگان

  • Alireza Esteghamati
  • Haleh Ashraf
  • Omid Khalilzadeh
  • Ali Zandieh
  • Manouchehr Nakhjavani
  • Armin Rashidi
  • Mehrdad Haghazali
  • Fereshteh Asgari
چکیده

AIM We have recently determined the optimal cut-off of the homeostatic model assessment of insulin resistance for the diagnosis of insulin resistance (IR) and metabolic syndrome (MetS) in non-diabetic residents of Tehran, the capital of Iran. The aim of the present study is to establish the optimal cut-off at the national level in the Iranian population with and without diabetes. METHODS Data of the third National Surveillance of Risk Factors of Non-Communicable Diseases, available for 3,071 adult Iranian individuals aging 25-64 years were analyzed. MetS was defined according to the Adult Treatment Panel III (ATPIII) and International Diabetes Federation (IDF) criteria. HOMA-IR cut-offs from the 50th to the 95th percentile were calculated and sensitivity, specificity, and positive likelihood ratio for MetS diagnosis were determined. The receiver operating characteristic (ROC) curves of HOMA-IR for MetS diagnosis were depicted, and the optimal cut-offs were determined by two different methods: Youden index, and the shortest distance from the top left corner of the curve. RESULTS The area under the curve (AUC) (95%CI) was 0.650 (0.631-0.670) for IDF-defined MetS and 0.683 (0.664-0.703) with the ATPIII definition. The optimal HOMA-IR cut-off for the diagnosis of IDF- and ATPIII-defined MetS in non-diabetic individuals was 1.775 (sensitivity: 57.3%, specificity: 65.3%, with ATPIII; sensitivity: 55.9%, specificity: 64.7%, with IDF). The optimal cut-offs in diabetic individuals were 3.875 (sensitivity: 49.7%, specificity: 69.6%) and 4.325 (sensitivity: 45.4%, specificity: 69.0%) for ATPIII- and IDF-defined MetS, respectively. CONCLUSION We determined the optimal HOMA-IR cut-off points for the diagnosis of MetS in the Iranian population with and without diabetes.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Association between physical activity and insulin resistance in Iranian adults: National Surveillance of Risk Factors of Non-Communicable Diseases (SuRFNCD-2007).

BACKGROUND Insulin resistance is an underlying mechanism of metabolic syndrome. We attempted to determine the association between physical activity and insulin resistance in Iranian adults. METHODS The data of the third national Surveillance of Risk Factors of Non-Communicable Diseases (SuRFNCD-2007) in Iran were used. We ran the Global Physical Activity Questionnaire (GPAQ) over a nationally...

متن کامل

Comparison of Waist Circumference and Metabolic Syndrome as a Prognostic Value of Insulin Resistance in Elderly Residents of Kahrizak

Objectives: The aim of this study was to compare of waist circumference with metabolic syndrome ,as a predictor insulin resistance in agroup of elderly population. Methods & Materials: In a cross-sectional study among 225 elderlyaged 60 year old and more whose clinical data were complete, 94 subjects (42 males and 52 females) who were able to sign the consent form Mini Mental stat Examinatio...

متن کامل

The threshold value of homeostasis model assessment for insulin resistance in Qazvin Metabolic Diseases Study (QMDS): assessment of metabolic syndrome.

BACKGROUND The homeostasis model assessment of insulin resistance (HOMA-IR) is a useful model for application at large epidemiologic studies. The aim of this study was to determine the HOMA cut off values to identify insulin resistance (IR) and metabolic syndrome (MS) in Qazvin, central Iran. METHODS Overall, 480 men and 502 women aged 20-72 yr attended in this cross sectional study from Sept...

متن کامل

Prevalence of Obesity, Dyslipidemia, and Insulin Resistance in Childhood Cancer Survivors

Background: With the increased survival rates following the treatment of childhood cancer, it becomes equally important that the need for evidence based surveillance of long term effects of cancer therapy is addressed. This includes the risk of development of metabolic syndrome features like obesity, altered lipid and sugar profile, which was attempted in the present study. Materials and Metho...

متن کامل

Optimal cut‐off point for homeostasis model assessment of insulin resistance to discriminate metabolic syndrome in non‐diabetic Japanese subjects

We have recently established a 'health-associated' reference interval of homeostasis model assessment of insulin resistance (HOMA-IR) between 0.4 and 2.4. In the present study, the aim was to establish a 'decision-based' limit of HOMA-IR for the discrimination of metabolic syndrome (MetS) in non-diabetic Japanese subjects. The receiver-operating characteristic curve of HOMA-IR for detecting Met...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره 7  شماره 

صفحات  -

تاریخ انتشار 2010