|
Document Type |
: |
Article In Journal |
|
Document Title |
: |
Estimation of insulin resistance in non-diabetic normotensive Saudi adults by QUICKI, HOMA, IR and modified QUICKI : a comparative study. Estimation of insulin resistance in non-diabetic normotensive Saudi adults by QUICKI, HOMA, IR and modified QUICKI : a comparative study. |
|
Document Language |
: |
English |
|
Abstract |
: |
Background and Objectives: Identification of insulin resistance (IR) in the general population is important for developing strategies to reduce the prevalence of non-insulin-dependent diabetes mellitus (NIDDM). We used the original and a modified version of the Quantitative Insulin Sensitivity Check Index (QUCKI, MQUICKI), and the Homeostasis Model Assessment of Insulin Resistance (HOMA-IR) to divide non-diabetic normotensive adults into high- (HIR) and low-insulin-resistant (LIR) subgroups to investigate similarities and differences in their characteristics.
Subjects and Methods: Three hundred fifty-seven healthy adults aged 18-50 years were recruited randomly from health centers in Jeddah in a cross-sectional study design. Anthropometric and demographic information was taken. Insulin, glucose, lipid profile and free fatty acid were determined in fasting blood samples. M-QUICKI, HOMA-IR and QUICKI were calculated. Reported cut-off points were used to identify HIR subjects, who were then matched for age and sex to others in the study population, resulting in 3 HIR and 3 LIR subgroups.
Results: Two hundred nine subjects satisfied the selection criteria. M-QUICKI correlated significantly (P=.01) with HOMA-IR and QUICKI values. Increased adiposity was the common characteristic of the three HIR subgroups. HIR subgroups identified using M-QUICKI (97 subjects) and HOMA (25 subjects), but not QUICKI (135 subjects), had statistically different biochemical characteristics compared to corresponding LIR sub-groups.
Conclusion: Adiposity, but not sex, is a risk factor for IR in the studied population. Further studies are needed to choose the most appropriate index for detecting IR in community-based surveys. |
|
ISSN |
: |
100011 |
|
Journal Name |
: |
Ann Saudi Med |
|
Volume |
: |
30 |
|
Issue Number |
: |
4 |
|
Publishing Year |
: |
1431 AH
2010 AD |
|
Article Type |
: |
Article |
|
Added Date |
: |
Monday, December 13, 2010 |
|
Researchers
| دعد أكبر | Akbar, Daad | Researcher | Doctorate | |
|