scholarly journals Sugar-Sweetened Beverage Intake Trends in US Adolescents and Their Association with Insulin Resistance-Related Parameters

2010 ◽  
Vol 2010 ◽  
pp. 1-8 ◽  
Author(s):  
Andrew A. Bremer ◽  
Peggy Auinger ◽  
Robert S. Byrd
Keyword(s):  
Insulin Resistance ◽  
Hdl Cholesterol ◽  
Model Assessment ◽  
Homeostasis Model Assessment ◽  
Cross Sectional ◽  
Sugar Sweetened Beverage ◽  
Sweetened Beverage ◽  
Prevalence Of Obesity ◽  
Us Children ◽  
Sectional Analysis

The purpose of this study was to evaluate current sugar-sweetened beverage (SSB) consumption trends and their association with insulin resistance-related metabolic parameters and anthropometric measurements by performing a cross-sectional analysis of the NHANES data during the years 1988–1994 and 1999–2004. Main outcome measures included SSB consumption trends, a homeostasis model assessment of insulin resistance, blood pressure, waist circumference, body mass index, and fasting concentrations of total cholesterol, HDL-cholesterol, LDL-cholesterol, and triglycerides. Although overall SSB consumption has increased, our data suggest that this increase was primarily due to an increase in the amount of SSBs consumed by males in the high-SSB intake group alone. Multivariate linear regression analyses also showed that increased SSB consumption was independently associated with many adverse health parameters. Factors other than SSB consumption must therefore be contributing to the increasing prevalence of obesity and metabolic syndrome in the majority of US children.

scholarly journals The association of circulating irisin with metabolic risk factors in Chinese adults: a cross-sectional community-based study

2019 ◽  
Author(s):  
Lizhi Tang ◽  
Yuzhen Tong ◽  
Fang Zhang ◽  
Guilin Chen ◽  
Yun Cong Zhang ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Linear Regression ◽  
Pearson Correlation ◽  
Metabolic Parameters ◽  
Enzyme Linked Immunosorbent Assay ◽  
Model Assessment ◽  
Fasting Insulin ◽  
Cross Sectional ◽  
Sectional Analysis ◽  
Overweight Subjects

Abstract Background Irisin is a myokine that leads to increased energy expenditure by stimulating the browning of white adipose tissue. We aimed to investigate the association of serum irisin levels with metabolic parameters in middle aged Chinese population. Methods The study was based on a cross-sectional analysis of data from 524 nondiabetic subjects aged 40~65. All participants were recruited from a screening survey for Metabolic Syndrome in a community in Southwest China, including 294 subjects categorized as overweight (defined as BMI≧25 kg/m2 ) and 230 subjects as normal control (defined as 18.5≦BMI<25 kg/m2). Serum irisin concentration was quantified by enzyme linked immunosorbent assay (ELISA). The relationship of irisin with metabolic factors was determined by Pearson correlation. Multivariate linear regression was used to analyze the association of irisin with insulin resistance. Logistic regression was performed to assess the association of irisin with odds of overweight. Results Serum irisin levels were significantly lower in nondiabetic overweight subjects compared with control (11.46 ± 4.11vs14.78 ± 7.03µg/mL, p = 0.02). Circulating irisin was positively correlated with quantitative insulin sensitivity check index (QUICKI, r = 0.178, p = 0.045) and triglycerides (r = 0.149, p = 0.022); while irisin was negatively correlated with waist circumference (WC, r = -0.185, p = 0.037), waist-to-hip ratio (WHR, r = -0.176, p = 0.047), fasting insulin (r = -0.2, p = 0.024), serum creatinine (r = -0.243, p = 0.006), homeostasis model assessment for insulin resistance (HOMA-IR, r = -0.189, p = 0.033). Multiple linear regression showed that irisin was inversely associated with HOMA-IR (β = -0.342 ± 0.154, p = 0.029). Higher irisin was associated with decreased odds of being overweight (OR = 0.281, β = -1.271, p = 0.024). Conclusions We found that serum irisin levels were lower in overweight subjects. Moreover, serum irisin levels were inversely correlated with adverse metabolic parameters including WC, WHR, creatinine, HOMA-IR and fasting insulin, suggesting that irisin may play a role in obesity related insulin resistance.

scholarly journals Distribution of the homeostasis model assessment of insulin resistance in Mexican children and adolescents

2012 ◽  
Vol 166 (2) ◽  
pp. 301-306 ◽  
Author(s):  
Celia Aradillas-García ◽  
Martha Rodríguez-Morán ◽  
María Eugenia Garay-Sevilla ◽  
Juan Manuel Malacara ◽  
Ramón Alberto Rascon-Pacheco ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Children And Adolescents ◽  
Fasting Glucose ◽  
Population Based ◽  
Healthy Children ◽  
Model Assessment ◽  
Homeostasis Model Assessment ◽  
Cross Sectional ◽  
Glucose Levels ◽  
Mexican Children

ObjectiveSeveral cutoff points of the homeostasis model assessment of insulin resistance (HOMA-IR; varying from 2.5 to 4.0) have been suggested for diagnosing IR in youth. In this study, we determined the distribution of the HOMA-IR in Mexican children and adolescents.Design and methodsA total of 6132 children and adolescents from San Luis Potosi, León, Queretaro, and Durango, which are cities in central and northern Mexico, were enrolled in a population-based cross-sectional study. Eligible participants were apparently healthy children and adolescents aged 6–18 years. Pregnancy and the presence of chronic illnesses were exclusion criteria.ResultsA total of 3701 (60.3%) girls and 2431 (39.7%) boys were included in this study. In the overall population, the mean body mass index, insulin levels, and fasting glucose levels were 21.8±1.3 kg/m2, 7.1±3.2 μU/ml, and 86.2±10.0 mg/dl respectively. The concentrations of insulin and fasting glucose gradually increased from 6 to 12 years of age, whereas the concentrations tended to plateau in the 13- to 18-year-old population. The absolute mean of the HOMA-IR was 2.89±0.7. The HOMA-IR gradually increased with age and reached a plateau at 13 years of age.ConclusionsBecause the insulin concentrations, glucose levels, and HOMA-IR exhibited a gradual increase with age that was not related to obesity, our results suggested that the evaluation of IR in children should be based on percentiles of the HOMA-IR rather than a dichotomous value derived from a single cutoff point.

scholarly journals Associations of resistin with inflammatory and fibrinolytic markers, insulin resistance, and metabolic syndrome in middle-aged and older Chinese

2008 ◽  
Vol 159 (5) ◽  
pp. 585-593 ◽  
Author(s):  
Qibin Qi ◽  
Jing Wang ◽  
Huaixing Li ◽  
Zhijie Yu ◽  
Xingwang Ye ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Density Lipoprotein ◽  
Hdl Cholesterol ◽  
Plasminogen Activator Inhibitor ◽  
Population Based ◽  
Model Assessment ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Factor Α

ObjectiveResistin increases insulin resistance (IR) in mice. However, the role of resistin in human disease remains controversial. We aimed to assess plasma resistin levels and their associations with inflammatory and fibrinolytic markers, IR and metabolic syndrome (MetS) among Chinese.Design and methodsPlasma resistin was measured in a population-based cross-sectional survey of 3193 Chinese aged from 50 to 70 years in Beijing and Shanghai.ResultsThe median resistin concentration was 8.60 ng/ml (interquartile range, 5.78–14.00) among all participants, and it was higher in women than in men (P=0.008). Resistin was correlated weakly with body mass index, waist circumference, high-density lipoprotein (HDL) cholesterol (negatively), homeostatic model assessment of IR and tumor necrosis factor-α receptor 2 (TNFR2; r=0.04, 0.07, –0.09 and 0.06 respectively, all P<0.05), and more highly with C-reactive protein (CRP), interleukin (IL)6 and plasminogen activator inhibitor (PAI)1 (r=0.12, 0.12 and 0.21 respectively, all P<0.001), but only HDL cholesterol, CRP, IL6, TNFR2, and PAI1 remained significantly associated with resistin in multiple regression analysis (all P<0.05). Furthermore, elevated resistin levels were associated with the higher prevalence of IR and MetS. However, the significant relationships disappeared after adjustment for inflammatory and fibrinolytic markers especially PAI1.ConclusionsThis study suggests that resistin is more strongly associated with inflammatory and fibrinolytic markers than with obesity or IR status. The associations of resistin with IR and MetS could largely be explained by inflammatory and fibrinolytic markers especially PAI1 levels.

scholarly journals Decreased plasma adiponectin concentrations in nondiabetic women with elevated homeostasis model assessment ratios

2003 ◽  
pp. 343-350 ◽  
Author(s):  
M Matsubara ◽  
S Katayose ◽  
S Maruoka
Keyword(s):  
Insulin Resistance ◽  
Multiple Regression ◽  
Serum Insulin ◽  
Sandwich Elisa ◽  
Serum Triglyceride ◽  
Model Assessment ◽  
Continuous Variables ◽  
Homeostasis Model Assessment ◽  
Cross Sectional ◽  
Plasma Adiponectin

OBJECTIVE: Whether the adipocyte-derived protein adiponectin is associated with insulin resistance independently of the effects of adiposity and the diabetic state is an important question. We explored, in a cross-sectional study of 486 Japanese nondiabetic women, the relationship between the calculated insulin resistance (homeostasis model assessment ratio (HOMA-R)) and adiponectin levels determined using a validated sandwich ELISA. DESIGN AND METHODS: All participants were stratified into tertiles for HOMA-R (approximately <1.5, 1.5< or = approximately <3.0, 3.0< or = approximately ) and the differences across tertiles of continuous variables were tested with ANOVA. Two-way ANOVA was used to determine possible relationships for plasma adiponectin between tertiles of HOMA-R and several stratified parameters. Multiple regression analyses were performed with HOMA-R or fasting serum insulin as dependent variable, and diastolic blood pressure (BP), body mass index (BMI), serum triglyceride (TG), leptin and adiponectin as independent determinants. RESULTS: Mean plasma adiponectin in the high HOMA-R group decreased compared with that in the low HOMA-R group both before (mean+/-s.e.m. 6.2+/-0.6 vs 9.2+/-0.3 microg/ml, P<0.001) and after adjustment for body fat mass (BFM) as kg or percent (0.31+/-0.04 vs 0.69+/-0.03, 0.18+/-0.02 vs 0.34+/-0.01, both P<0.001). HOMA-R was inversely associated with adiponectin levels both before (r=-0.37, P<0.001) and after adjustment for BFM (r=-0.49, -0.46, both P<0.001). After covariate adjustment for age, diastolic BP, BMI and serum TG, HOMA-R retained a significant correlation with adiponectin/BFM (kg). Both adiponectin and leptin were the significant determinants of HOMA-R or fasting insulin in multiple regression models. CONCLUSIONS: Adiponectin was inversely associated with insulin resistance in nondiabetic subjects, independently from age, BP, adiposity and serum lipids. Because adiponectin is thought to have an anti-atherogenic action, the presence of hypoadiponectinemia may predispose subjects to atherosclerosis, and may progress the atherogenesis in insulin resistance.

scholarly journals High HOMA-IR Index in Healthcare Shift Workers

Medicina ◽  
2019 ◽  
Vol 55 (5) ◽  
pp. 186 ◽  
Author(s):  
Caterina Ledda ◽  
Diana Cinà ◽  
Serena Matera ◽  
Nicola Mucci ◽  
Massimo Bracci ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Shift Work ◽  
Healthcare Workers ◽  
Positive Association ◽  
Cross Sectional Study ◽  
Model Assessment ◽  
Homeostasis Model Assessment ◽  
Significant Positive Association ◽  
Cross Sectional ◽  
Shift Workers

Background and objectives: Evidence shows that shift work may be correlated with insulin resistance (IR). Therefore its estimation in clinical and prevention practice is of great significance. A cross-sectional study was performed to examine the Homeostasis Model Assessment-Insulin Resistance (HOMA-IR) Index among healthcare shift workers (HCSW). Materials and Methods: A total of 272 healthcare workers (HCWs) were invited to participate in the study within an occupational surveillance framework, 137 were HCSW while 135 were healthcare non-shift workers (HCNSW). Fasting glucose, insulin, and HOMA-IR Index were evaluated in each participant and correlated with shift workers. Results: Indicators of glucose metabolism were significantly higher in HCSW p < 0.001, and logistic regression analysis confirmed a significant positive association between increased values of HOMA-IR Index and shift workers (p < 0.05). Conclusions: Shift work could be a risk factor in developing insulin resistance and metabolic syndrome.

scholarly journals Optimal Homeostasis Model Assessment of Insulin Resistance (HOMA-IR) Cut-Offs: A Cross-Sectional Study in the Czech Population

Medicina ◽  
2019 ◽  
Vol 55 (5) ◽  
pp. 158 ◽  
Author(s):  
Dagmar Horáková ◽  
Ladislav Štěpánek ◽  
Vladimír Janout ◽  
Jana Janoutová ◽  
Dalibor Pastucha ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Logistic Regression ◽  
Clinical Practice ◽  
Predictive Accuracy ◽  
Predictive Ability ◽  
Glucose Metabolism Disorders ◽  
Model Assessment ◽  
Homeostasis Model Assessment ◽  
Cross Sectional ◽  
Czech Population

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.

scholarly journals The Relationship between Self-Reported Exposure to Sugar-Sweetened Beverage Promotions and Intake: Cross-Sectional Analysis of the 2017 International Food Policy Study

Nutrients ◽  
2019 ◽  
Vol 11 (12) ◽  
pp. 3047 ◽  
Author(s):  
Hannah Forde ◽  
Martin White ◽  
Louis Levy ◽  
Felix Greaves ◽  
David Hammond ◽  
...  
Keyword(s):  
Food Policy ◽  
Multinomial Logistic Regression ◽  
Relative Risk Ratio ◽  
Policy Study ◽  
Cross Sectional ◽  
Sugar Sweetened Beverage ◽  
Logistic Regression Models ◽  
Sweetened Beverage ◽  
Cross Sectional Analysis ◽  
Sectional Analysis

Sugar-sweetened beverage (SSB) consumption is independently associated with several non-communicable diseases, so policymakers are increasingly implementing measures, such as marketing regulation, to reduce intake. To help understand how such measures work, this study examined the association between SSB consumption and self-reported exposure to SSB promotions, both overall and by type of promotion, and whether these relationships vary between the UK, USA, Canada, Mexico, and Australia. Cross-sectional analysis of the online 2017 International Food Policy Study was performed (n = 15,515). Participants were grouped into 5265 (34%) non-, 5117 (33%) low-, and 5133 (33%) high-SSB consumers. Multinomial logistic regression models examined whether SSB consumption varied by exposure to total SSB promotion and by type: traditional, digital, recreational environment, and functional environment. Multiplicative interactions were included to investigate international variations. An additional unit of total self-reported SSB promotion exposure increased the likelihood of participants being low SSB consumers (relative risk ratio (RRR) = 1.08, 95% confidence interval (CI) = 1.06–1.10) and high SSB consumers (RRR = 1.13, 95% CI = 1.11–1.16). Only exposure to traditional and digital promotion increased the likelihood of participants being SSB consumers, though this may be explained by degree of exposure, which was not measured in this study. Some evidence illustrated international variation in these relationships.

High BMI with Adequate Lean Mass Is Not Associated with Cardiometabolic Risk Factors in Children and Adolescents

2020 ◽  
Author(s):  
Pei Xiao ◽  
Hong Cheng ◽  
Yinkun Yan ◽  
Junting Liu ◽  
Xiaoyuan Zhao ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Body Composition ◽  
Children And Adolescents ◽  
Lean Mass ◽  
Ldl Cholesterol ◽  
Hdl Cholesterol ◽  
Obesity Paradox ◽  
Model Assessment ◽  
Cross Sectional ◽  
High Tc

ABSTRACT Background Despite an increasing number of studies investigating the links between increased BMI and a better prognosis of cardiovascular disease, which has been termed the “obesity paradox,” few of them take the lean mass into consideration. Objectives This study aimed to explore the associations of body composition compartments, especially the lean mass, with cardiometabolic abnormalities in children and adolescents. Methods In a nationwide cross-sectional study of 6- to 18-y-old children (n = 8967, 50.1% boys), we measured body composition using DXA scan, and calculated BMI, fat mass index (FMI), and lean mass index (LMI). The exploratory outcomes were cardiometabolic abnormalities, including hypertension, dyslipidemia, hyperglycemia, and insulin resistance. Adjusted linear regression coefficients and ORs were calculated to assess the associations between body composition indicators and cardiometabolic abnormalities. Results Unlike BMI and FMI, LMI was inversely associated with homeostasis model assessment of insulin resistance (β: −0.06; 95% CI: −0.09, −0.03; P &lt; 0.001), fasting plasma glucose (β: −0.08; 95% CI: −0.11, −0.05; P &lt; 0.001), non-HDL cholesterol (β: −0.10; 95% CI: −0.13, −0.08; P &lt; 0.001), LDL cholesterol (β: −0.12; 95% CI: −0.14, −0.09; P &lt; 0.001), and total cholesterol (TC) (β: −0.16; 95% CI: −0.19, −0.14; P &lt; 0.001). After multivariable adjustment, all the odds of cardiometabolic abnormalities were increased from the lowest quartile to the highest quartile of BMI and FMI (P-trend &lt; 0.05); however, the odds of high TC, high LDL cholesterol, hyperglycemia, and insulin resistance were decreased with LMI (P-trend &lt; 0.05). Obese children with high LMI did not have significantly increased odds of high TC, high LDL cholesterol, and high non-HDL cholesterol compared with normal-weight children without high LMI. Conclusions Greater lean mass may have a protective impact on high TC, high LDL cholesterol, hyperglycemia, and insulin resistance in children and adolescents. This finding suggests that the “obesity paradox” may be partly explained by high lean mass.

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