- Publication type
- Meeting Abstract MeSH
Background and Objectives: The key pathogenetic mechanism of glucose metabolism disorders, insulin resistance (IR), can be assessed using the Homeostasis Model Assessment of IR (HOMA-IR). However, its application in clinical practice is limited due to the absence of cut-offs. In this study, we aimed to define the cut-offs for the Czech population. Methods: After undergoing anthropometric and biochemical studies, the sample of 3539 individuals was divided into either nondiabetics, including both subjects with normal glucose tolerance (NGT, n = 1947) and prediabetics (n = 1459), or diabetics (n = 133). The optimal HOMA-IR cut-offs between subgroups were determined to maximize the sum of the sensitivity and specificity for diagnosing type 2 diabetes mellitus (T2DM) or prediabetes. The predictive accuracy was illustrated using receiver operating characteristic (ROC) curves. Logistic regression was performed to assess the association between a target variable (presence/absence of T2DM) depending on the HOMA-IR score as well as on the age and sex. Results: The HOMA-IR cut-off between nondiabetics and diabetics for both sexes together was 3.63, with a sensitivity of 0.56 and a specificity of 0.86. The area under the ROC curve was 0.73 for T2DM diagnosing in both sexes. The HOMA-IR cut-off between the NGT subjects and prediabetics was 1.82, with a sensitivity of 0.60 and a specificity of 0.66. Logistic regression showed that increased HOMA-IR is a risk factor for the presence of T2DM (odds ratio (OR) 1.2, 95% confidence interval (CI) 1.14-1.28, p < 0.0001). The predictive ability of HOMA-IR in diagnosing T2DM is statistically significantly lower in females (OR 0.66, 95% CI 0.44-0.98). The results are valid for middle-aged European adults. Conclusions: The results suggest the existence of HOMA-IR cut-offs signaling established IR. Introduction of the instrument into common clinical practice, together with the known cut-offs, may contribute to preventing T2DM.
- MeSH
- Cholesterol analysis blood MeSH
- Adult MeSH
- Glucose analysis MeSH
- Glucose Tolerance Test methods MeSH
- Homeostasis drug effects physiology MeSH
- Insulin analysis blood MeSH
- Insulin Resistance physiology MeSH
- Middle Aged MeSH
- Humans MeSH
- Logistic Models MeSH
- Odds Ratio MeSH
- Needs Assessment MeSH
- Cross-Sectional Studies MeSH
- Aged MeSH
- Check Tag
- Adult MeSH
- Middle Aged MeSH
- Humans MeSH
- Male MeSH
- Aged MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Geographicals
- Czech Republic MeSH
- Publication type
- Meeting Abstract MeSH
- Publication type
- Meeting Abstract MeSH
- Publication type
- Meeting Abstract MeSH
Common alimentary obesity frequently occurs on a polygenic basis as a typical lifestyle disorder in the developed countries. It is associated with characteristic complex metabolic changes, which are the cornerstones for future metabolic syndrome development. The aims of our study were 1) to determine the incidence of metabolic syndrome (based on the diagnostic criteria defined by the International Diabetes Federation for children and adolescents) in Czech obese children, 2) to evaluate the incidence of insulin resistance according to HOMA-IR and QUICKI homeostatic indexes in obese children with and without metabolic syndrome, and 3) to consider the diagnostic value of these indexes for the early detection of metabolic syndrome in obese children. We therefore performed anthropometric and laboratory examinations to determine the incidence of metabolic syndrome and insulin resistance in the group of 274 children with obesity (128 boys and 146 girls) aged 9-17 years. Metabolic syndrome was found in 102 subjects (37 %). On the other hand, the presence of insulin resistance according to QUICKI <0.357 was identified in 86 % and according to HOMA-IR >3.16 in 53 % of obese subjects. This HOMA-IR limit was exceeded by 70 % children in the MS(+) group, but only by 43 % children in the MS(-) group (p<0.0001). However, a relatively high incidence of insulin resistance in obese children without metabolic syndrome raises a question whether the existing diagnostic criteria do not falsely exclude some cases of metabolic syndrome. On the basis of our results we suggest to pay a preventive attention also to obese children with insulin resistance even if they do not fulfill the actual diagnostic criteria for metabolic syndrome.
- MeSH
- Early Diagnosis MeSH
- Child MeSH
- Incidence MeSH
- Insulin blood MeSH
- Insulin Resistance * MeSH
- Causality MeSH
- Comorbidity MeSH
- Blood Glucose analysis MeSH
- Humans MeSH
- Metabolic Syndrome blood diagnosis epidemiology MeSH
- Adolescent MeSH
- Obesity blood diagnosis epidemiology MeSH
- Reproducibility of Results MeSH
- Risk Factors MeSH
- Sensitivity and Specificity MeSH
- Population Surveillance MeSH
- Check Tag
- Child MeSH
- Humans MeSH
- Adolescent MeSH
- Male MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
- Geographicals
- Czech Republic MeSH
OBJECTIVES: This study evaluates the effect of a 3-month calorie restriction (CR) without snacking on the anthropometric parameters, Homeostatic Model Assesment of Insulin Resistance (HOMA-IR), and lipid profiles of female office workers with overweight or obesity, whose physical activity was limited during the COVID-19 pandemic lockdown. MATERIAL AND METHODS: Forty-eight women aged 20-38 years (28.9±5.24) with low physical activity levels were divided into a non-snacking (NS) group (N = 21) and a snacking (S) group (N = 27) prior to the dietary intervention. Their daily energy intake during the intervention was lowered by 30% compared with the baseline level, and the proportion of polyunsaturated fatty acids and fiber in their diet was increased (to >30 g/day). The proportion of saturated fatty acids and simple carbohydrates was also reduced. The study participants were assessed at the baseline and post-intervention for anthropometric variables (body weight, body fat percentage BMI, waist circumference, hip circumference, waist-to-hip ratio) and the concentrations of insulin, total cholesterol (TC), triglycerides (TG), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C). Moreover, the values for HOMA-IR, the atherogenic index of plasma (AIP), and the ratios of TC/HDL-C, TG/HDL-C, and LDL-C/HDL-C were calculated. RESULTS: All anthropometric parameter values obtained post-intervention were lower than the baseline in both groups. The serum insulin concentration and HOMA-IR decreased respectively by an average of 6% and 25% in the NS group and 37% and 45% in the S group. The lipid profiles of all participants improved significantly, with the LDL-C concentration showing a more promising trend in the S group (decrease by 27%) than in the NS group (17%). CONCLUSIONS: The study showed that CR improved the anthropometric parameters, HOMA-IR index, and lipid profiles of all participants. Int J Occup Med Environ Health. 2022;35(6):693-706.
- MeSH
- COVID-19 * MeSH
- Cholesterol, HDL MeSH
- Body Mass Index MeSH
- Insulin MeSH
- Insulin Resistance * MeSH
- Caloric Restriction MeSH
- Communicable Disease Control MeSH
- Cholesterol, LDL MeSH
- Humans MeSH
- Overweight MeSH
- Obesity MeSH
- Pandemics MeSH
- Triglycerides MeSH
- Check Tag
- Humans MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- MeSH
- Research Support as Topic MeSH
- Publication type
- Abstracts MeSH
