Relationship between metabolic syndrome and metabolic syndrome score and beta cell function by gender in Korean populations with obesity

Prediction of Metabolic Syndrome in U.S. Adults Using Homeostasis Model Assessment-Insulin Resistance

Background: The prevalence of obesity among U.S. adults has risen steadily over recent decades. Consequently, interest in identification of those at greatest metabolic risk necessitates the periodic assessment of underlying population characteristics. Thus, the aim of this study is to assess the efficacy of using insulin resistance (IR) as a predictor of metabolic syndrome (MetS). Methods: We performed a serial, cross-sectional analysis of nationally representative data from the National Health and Nutrition Examination Survey (NHANES). Data included nonpregnant adults who participated in NHANES between 2011 and 2018. IR was estimated using the homeostasis model assessment (HOMA). Optimal HOMA-IR cut points for MetS were identified using receiver operating characteristic curve analysis. Results: Data from 8897 participants representing 222 million individuals were analyzed. The estimated prevalence of MetS was 31.7% (n = 2958; 95% confidence interval 30.1-33.3). The optimal HOMA-IR to discriminate between individuals with and without MetS in the general population was 2.83 (sensitivity = 73.8%; specificity = 73.8%; area under the curve = 0.82). Conclusion: The HOMA-IR is a sensitive and specific method of screening for individuals with MetS. Prospective evaluation of this approach's efficacy in identifying those at risk for progression to MetS is warranted.

Relationship Between Metabolic Syndrome and Beta-Cell Function in Nondiabetic Korean Premenopausal and Postmenopausal Women: 2015 Korean National Health and Nutrition Examination Survey

Background: This study was conducted to assess the relationship between metabolic syndrome (MetS) and beta-cell function in nondiabetic Korean women. Methods: This study included 2,507 women (premenopausal women, 1,359; postmenopausal women, 1,148) who were aged ≥20 and used 2015 Korean National Health and Nutrition Examination Survey (KNHANES) data. Results: Key study results were as follows: first, in both premenopausal and postmenopausal women, after adjusting for related variables [except body mass index (BMI)], MetS (P < 0.001) and metabolic syndrome score (MSS; P < 0.001) were positively associated with the homeostasis model assessment of beta-cell function (HOMA-B) levels. Second, in premenopausal women, when further adjusted for BMI, MetS (P = 0.002) and MSS (P < 0.001) were also positively associated with HOMA-B levels. However, in postmenopausal women, when further adjusting for BMI, the associations of MetS (P = 0.322) or MSS (P = 0.855) and HOMA-B levels were no longer significant. Conclusions: Metabolic syndrome was positively associated with beta-cell function in nondiabetic Korean premenopausal women, but not in Korean postmenopausal women.

Relationship between metabolic syndrome and metabolic syndrome score with β-cell function by gender in non-diabetic Korean populations

Aims: The present study was conducted to assess the association of metabolic syndrome (MetS) and the MetS score (MSS) with β-cell function by gender in Korean non-diabetic populations. Methods: This study used the data from the 2015 Korean National Health and Nutrition Examination Survey including 4380 adults, aged 20 or older. Results: After adjusting for related variables (with exception of body mass index [BMI]), MetS (p < 0.001) and MSS (p < 0.001) were positively associated with homeostasis model assessment of β-cell function (HOMA-B), in both men and women. When further adjusting for BMI, MetS (p = 0.002) and MSS (p = 0.006) were positively associated with HOMA-B in women, whereas the association of MetS (p = 0.140) or MSS (p = 0.697) and HOMA-B was no longer significant in men. Conclusion: MetS and MSS increases were positively associated with β-cell function in non-diabetic Korean women, but not in non-diabetic Korean men.

Gender difference in the relationship between the ferritin and homeostasis model assessment of insulin resistance in non-diabetic Korean adults

Background

The present study was conducted to assess gender difference in the relationship between the ferritin and homeostasis model assessment of insulin resistance (HOMA-IR) and beta cell function (HOMA-B) in non-diabetic Korean adults.

Materials and methods

A sample including 5,414 adults (2,279 men, 1,529 postmenopausal women, and 1,606 premenopausal women) aged ≥ 20 years from the fifth Korean National Health and Nutrition Examination Survey (KNHANES V-1, 2010) was analyzed.

Results

There were several key findings in the present study. First, in men, HOMA-IR (β = 0.119, 95% confidence interval [CI], 3.304 to 8.003) constituted the independent factor determining ferritin, but this was not the case for HOMA-B (β = -0.042, 95% CI, -0.100 to 0.011). Second, in postmenopausal women, HOMA-IR (β = 0.087, 95% CI, 0.899 to 5.238) was the independent factor determining ferritin, but this was not the case for HOMA-B (β = -0.043, 95% CI, -0.065 to 0.010). Third, in premenopausal women, neither HOMA-IR (β = -0.050, 95% CI, -3.056 to 0.364) nor HOMA-B (β = -0.009, 95% CI, -0.028 to 0.020) constituted the independent factors determining ferritin.

Conclusions

Ferritin was positively associated with insulin resistance in non-diabetic Korean men and postmenopausal women, but not in non-diabetic Korean premenopausal women.

The relationship between chronic kidney function and homeostasis model assessment of insulin resistance and beta cell function in Korean adults with or without type 2 diabetes mellitus

The present study was conducted to assess the relationship between chronic kidney disease (CKD) and the homeostasis model assessment of insulin resistance (HOMA-IR) and beta cell function (HOMA-B) in Korean adults with or without type 2 diabetes mellitus (T2DM). This study included 5,188 adults aged 20 or older using the 2015 Korea National Health and Nutrition Examination Survey (KNHANES) data, which represents national data in Korea. A covariance test adjusted for covariates was performed for HOMA-IR and HOMA-B in relation to CKD. The present study has several key findings. First, in T2DM, HOMA-IR (p = 0.035) was higher in the CKD group than in the non-CKD group after adjusting for the related variables but HOMA-B (p = 0.141) was not significant. Second, in non-T2DM, HOMA-IR (p = 0.163) and HOMA-B (p = 0.658) were not associated with CKD after adjusting for the related variables (except age). However, when further adjusted for age, HOMA-IR (p = 0.020) and HOMA-B (p = 0.006) were higher in the CKD group than in the non-CKD group. In conclusion, insulin resistance was positively associated CKD with in Korean adults with or without T2DM. Beta cell function was positively associated CKD with in Korean adults without T2DM but not in Korean adults with T2DM.

The Association Between the Metabolic Syndrome and Metabolic Syndrome Score and Urine Microalbumin/Urine Creatinine Ratio and Glomerular Filtration Rate in Korean Adults With Obesity

OBJECTIVE

This study assessed the association between metabolic syndrome (MetS) and metabolic syndrome score (MSS) and the levels of urine microalbumin-urine creatinine ratio (uACR) and glomerular filtration rate (GFR) in Korean adults with obesity.

METHODS

Analyses of data obtained during the 2012 Korean National Health and Nutrition Examination Survey were restricted to that obtained from 1,612 adults aged ≥20 years with obesity.

RESULTS

After adjusting for relevant variables (excluding age), uACR levels were positively associated with MetS (P < .001) and MSS (P < .001), and GFR levels were inversely associated with MetS (P < .001) and MSS (P < .001). However, when further adjusting for age, uACR levels were positively associated with MetS (P < .001) and MSS (P < .001) levels, but GFR levels were not associated with MetS (P = .632) and MSS (P = .275) levels.

CONCLUSION

MetS and MSS were positively associated with uACR levels in Korean adults with obesity, but were not associated with GFR levels.