scholarly journals Optimal Threshold of Homeostasis Model Assessment of Insulin Resistance to Identify Metabolic Syndrome in a Chinese Population Aged 45 Years or Younger

2022 ◽  
Vol 12 ◽  
Author(s):  
Szu-Yu Lin ◽  
Wen-Cheng Li ◽  
Ting-An Yang ◽  
Yi-Chuan Chen ◽  
Wei Yu ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Chinese Population ◽  
Cutoff Point ◽  
Optimal Threshold ◽  
Model Assessment ◽  
Homeostasis Model Assessment ◽  
Optimal Cutoff ◽  
Optimal Cutoff Point ◽  
Healthy Chinese

BackgroundMetabolic syndrome (MetS) is regarded as a major risk factor for diabetes mellitus and cardiovascular disease (CVD). The optimal threshold of the homeostasis model assessment of insulin resistance (HOMA-IR) has been established for predicting MetS in diverse populations and for different ages. This study assessed the serum HOMA-IR level in a healthy Chinese population aged ≤45 years to determine its relationship with metabolic abnormalities.MethodsCross-sectional study data were collected from health checkup records of Chinese adults aged ≥18 years between 2013 and 2016 at Xiamen Chang Gung Hospital. Participants completed a standardized questionnaire, which was followed by a health examination and blood sample collection. Exclusion criteria were as follows: history of known CVDs; liver, kidney, or endocrine diseases or recent acute illness; hypertension; hyperlipidemia; and pregnancy or lactation.ResultsThe clinical and laboratory characteristics of 5954 men and 4185 women were analyzed. Significant differences were observed in all assessed variables (all P < 0.05). The optimal cutoff point of HOMA-IR for predicting MetS was 1.7 in men and 1.78 in women.ConclusionsWe aimed to determine the optimal cutoff point of HOMA-IR for predicting MetS in a healthy Chinese population aged ≤45 years. The findings of this study would provide an evidence-based threshold for evaluating metabolic syndromes and further implementing primary prevention programs, such as lifestyle changes in the target population.

scholarly journals Homeostasis model assessment of insulin resistance (HOMA-IR) and metabolic syndrome at baseline of a multicentric Brazilian cohort: ELSA-Brasil study

2020 ◽  
Vol 36 (8) ◽  
Author(s):  
Maria de Fátima Haueisen Sander Diniz ◽  
Alline Maria Rezende Beleigoli ◽  
Maria Inês Schmidt ◽  
Bruce B. Duncan ◽  
Antônio Luiz P. Ribeiro ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Normal Weight ◽  
Overweight And Obesity ◽  
Model Assessment ◽  
Adult Health ◽  
Homeostasis Model Assessment ◽  
The Metabolic Syndrome ◽  
Brazilian Cohort ◽  
Overweight Or Obesity

Abstract: 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.

scholarly journals Circulating Irisin in Relation to Insulin Resistance and the Metabolic Syndrome

2013 ◽  
Vol 98 (12) ◽  
pp. 4899-4907 ◽  
Author(s):  
Kyung Hee Park ◽  
Lesya Zaichenko ◽  
Mary Brinkoetter ◽  
Bindiya Thakkar ◽  
Ayse Sahin-Efe ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Body Mass Index ◽  
Body Mass ◽  
Model Assessment ◽  
Homeostasis Model Assessment ◽  
Cvd Risk ◽  
Baseline Serum ◽  
The Metabolic Syndrome ◽  
Increased Risk

Context: Irisin, a recently identified hormone, has been proposed to regulate energy homeostasis and obesity in mice. Whether irisin levels are associated with risk of the metabolic syndrome (MetS), cardiometabolic variables, and cardiovascular disease (CVD) risk in humans remains unknown. Objective: Our objective was to assess the associations between baseline serum irisin levels and MetS, cardiometabolic variables, and CVD risk. Design, Setting, and Subjects: We conducted a comparative cross-sectional evaluation of baseline circulating levels of the novel hormone irisin and the established adipokine adiponectin with MetS, cardiometabolic variables, and CVD risk in a sample of 151 subjects. Results: Baseline irisin levels were significantly higher in subjects with MetS than in subjects without MetS. Irisin was associated negatively with adiponectin (r = −0.4, P < .001) and positively with body mass index (r = 0.22, P = .008), systolic (r = 0.17, P = .04) and diastolic (r = 0.27, P = .001) blood pressure, fasting glucose (r = 0.25, P = .002), triglycerides (r = 0.25, P = .003), and homeostasis model assessment for insulin resistance (r = 0.33, P < .001). After adjustment for potential confounders, including body mass index, subjects in the highest tertile of irisin levels were more likely to have MetS (odds ratio [OR] = 9.44, 95% confidence interval [CI] = 2.66–33.44), elevated fasting blood glucose (OR = 5.80, 95% CI = 1.72–19.60), high triglycerides (OR = 3.89, 95% CI = 1.16–13.03), and low high-density lipoprotein cholesterol (OR = 3.30, 95% CI = 1.18–9.20). Irisin was independently associated with homeostasis model assessment for insulin resistance and general Framingham risk profile in multiple linear regression analyses after adjustment for confounders. Adiponectin demonstrated the expected associations with outcomes. Conclusions: Irisin is associated with increased risk of MetS, cardiometabolic variables, and CVD in humans, indicating either increased secretion by adipose/muscle tissue and/or a compensatory increase of irisin to overcome an underlying irisin resistance in these subjects.

scholarly journals Exploring the Link between the Components of Metabolic Syndrome and the Risk of Depression

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Fang-Yih Liaw ◽  
Tung-Wei Kao ◽  
Ju-Ting Hsueh ◽  
Yi-Hsin Chan ◽  
Yaw-Wen Chang ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Blood Chemistry ◽  
Assessment Method ◽  
Model Assessment ◽  
Homeostasis Model Assessment ◽  
Increased Risk ◽  
Patient Health ◽  
Low Hdl ◽  
Apparent Association

Background.Metabolic syndrome (MetS) has been reported with an increased risk of depression. MetS was also associated with insulin resistance. This study aimed to evaluate whether MetS components might contribute to depression in participants with insulin resistance (IR) or not.Methods.This study included 3,331 participants ≥18 years in the NHANES 2009-2010. Depressive symptoms were assessed using the Patient Health Questionnaire-9 (PHQ-9). MetS components were measured using blood chemistry and body measurements. IR was identified using the homeostasis model assessment method.Results.Predicted PHQ-9 scores significantly increased as the number of MetS components increased in patients with IR. The adjustedβcoefficients of the predicted PHQ-9 score with 2, 4, and 5 MetS components were 1.803, 2.081, and 3.048, respectively (Pfor trend < 0.05). Low HDL-C levels were significantly associated with higher predicted total PHQ-9 scores in fully adjusted models in the IR group (P<0.05).Conclusion.The results indicated that the presence of a greater number of components of MetS was significantly associated with higher predicted total PHQ-9 scores in participants with IR. Among the components of MetS, the most apparent association was observed between low HDL and higher predicted total PHQ-9 scores.

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