Association Between Total Bilirubin Levels and Cardio-metabolic Risk Factors Related to Obesity

2021 ◽  
Vol 21 ◽  
Author(s):  
Mervat M El-Eshmawy ◽  
Nancy Mahsoub ◽  
Mohamed Asar ◽  
Ibrahim Elsehely
Keyword(s):  
Risk Factors ◽  
Uric Acid ◽  
Total Bilirubin ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
Metabolic Risk ◽  
Healthy Controls ◽  
Fasting Insulin ◽  
Obese Adults ◽  
Lymphocyte Ratio

Background: The link between bilirubin and cardiometabolic outcomes has been previously identified with positive health effects of mild hyperbilirubinaemia. On the other hand, recent evidence has suggested an association between low circulating bilirubin levels and obesity. This study was conducted to assess the association of total bilirubin levels with metabolic and cardiovascular risk factors related to obesity. Methods: A total of 50 obese adults and 50 healthy controls matched for age and sex were enrolled in this study. Anthropometric measurements, fasting glucose, fasting insulin, homeostasis model assessment of insulin resistance (HOMA-IR), HOMA- β (%), lipids profile, monocyte to lymphocyte ratio (MLR), neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), uric acid, gamma glutamyl transpeptidase (GGT), AST/ALT ratio and total bilirubin were assessed. Results: Total bilirubin, high density lipoprotein cholesterol (HDL-C) and AST/ALT ratio were significantly lower, whereas fasting insulin, HOMA-IR, total cholesterol, triglycerides, low density lipoprotein cholesterol, NLR, uric acid and GGT were significantly higher in obese adults than in healthy controls. Bilirubin was negatively associated with body mass index, waist circumference, fasting insulin, HOMA-IR, NLR, PLR, uric acid, and positively associated with HDL-C. HDL-C and NLR were the independent predictor variables of total bilirubin. Conclusion: Among all the studied cardio-metabolic risk factors, HDL-C and NRL are the most closely associated variables with total bilirubin levels in obese adults.

scholarly journals Evaluation of Anthropometric Indices for Metabolic Syndrome and their Association with Metabolic Risk Factors among Healthy Individuals in New Belgrade

2013 ◽  
Vol 30 (1) ◽  
pp. 21-30
Author(s):  
Veroslava Stanković ◽  
Svetlana Stojanović ◽  
Nađa Vasiljević
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Metabolic Syndrome ◽  
Blood Glucose ◽  
Health Risk ◽  
Density Lipoprotein ◽  
Metabolic Risk Factors ◽  
Lipoprotein Cholesterol ◽  
Metabolic Risk ◽  
Anthropometric Indices

Summary People with metabolic syndrome (MetSy) are about twice as likely to develop cardiovascular disease and over four times as likely to develop type 2 diabetes compared to subjects without metabolic syndrome. Waist circumferences (WC) and body mass index (BMI) are useful screening tools for making the diagnosis. MetSy has increased the health risk in primary care. The aim of the study was to evaluate the anthropometric indices for MetSy and determine which of simple anthropometric measurements is most closely associated with metabolic risk factors. The research included 264 individuals, of which 132 men with mean age (±SD) of 44.73 ±9.37 years and 132 women with mean age (±SD) of 46.67±8.44 years. Antropometric indicators were measured using standard protocols, without shoes and outerwear. BMI was calculated as weight/height2(kg/m2) ratio, as recommended by the World Health Organization (WHO). Blood pressure measurements were obtained with the subject in a seated position by using a standard mercury sphygmomanometer. Blood samples were obtained after a minimum of 12-h fast; the metabolic parameters (high-density lipoprotein-cholesterol, low-density lipoprotein-cholesterol, triglycerides, blood glucose) were analyzed by standard procedures. Analysis of the examinees’ medical records was also performed. Metabolic syndrome was diagnosed using the International Diabetes Federation (IDF) criteria. The analysis of the research results were performed using the Statistical Package for Social Science version 10.0 (SPSS 10.0 for Windows). The prevalence of the metabolic syndrome was 44.7% in men and 43.2% in women. Normal-weight subjects of both sexes were significantly younger and had significantly lower blood glucose, total cholesterol, LDL and triglycerides than overweight and obese subjects. Systolic and diastolic blood pressure values were significantly increased in parallel with increasing of BMI. For the whole sample, both anthropometric indices had significant associations with the other five components of MetSy. Waist circumference is a simple measure of adiposity most strongly associated with metabolic abnormalities. The results obtained in this study indicate that WC is a good indicator of health risk in women but not in men. Measurement of WC by BMI categories may indicate a person with an increased risk of development of chronic diseases.

Effects of nutrition education on cardio-metabolic outcomes: A randomised clinical trial

2019 ◽  
Vol 79 (4) ◽  
pp. 458-470
Author(s):  
Hildemar Dos Santos ◽  
W Lawrence Beeson ◽  
Gina Segovia-Siapco ◽  
Brenda Koranda ◽  
Tony Jehi
Keyword(s):  
Risk Factors ◽  
Clinical Trial ◽  
Health Education ◽  
Intervention Group ◽  
Density Lipoprotein ◽  
Randomised Clinical Trial ◽  
Metabolic Risk Factors ◽  
Lipoprotein Cholesterol ◽  
Control Group ◽  
Metabolic Risk

Objective: The aim of this study was to assess the effect of Full Plate Diet (FPD) on the primary prevention of cardio-metabolic risk factors. Design: Randomised clinical trial. Setting: Drayson Center, Loma Linda University, CA, USA. Methods: Forty individuals were randomly assigned to either an intervention group receiving the FPD health education for 10 weeks or to a control group not receiving this intervention. Comprehensive evaluations of clinical and anthropometric outcomes were conducted at baseline and at the end of intervention. To assess within-group changes and between-group differences, a general linear model was used. Results: Significant reductions in weight (−1.54 kg, 95% confidence interval [CI] −2.5, −.54) and total cholesterol (TC) (−11.7 mg/dL; 95% CI −21.4, −2) and non-significant reductions in means for low-density lipoprotein cholesterol (LDL-C) (−7.3 mg/dL, 95% CI −16, 1.5) and triglycerides (−18.7 mg/dL, 95% CI −46, 8.5) were observed in the intervention group after 10 weeks compared with baseline. These reductions were non-significantly higher in the intervention compared with the control group. There were no significant mean changes in systolic and diastolic blood pressure, high-density lipoprotein cholesterol (HDL-C) and haemoglobin A1c (A1c) in the intervention group after 10 weeks. Conclusion: A multi-component programme comprising 10 weeks of health education that emphasised the high intake of fibre failed to significantly reduce cardio-metabolic risk factors. It did show a downward trend in triglycerides, TC and body weight that may be of clinical importance suggesting that a future investigation with a longer intervention duration is needed.

scholarly journals Association between Inflammatory Markers and Clinical and Metabolic Risk Factors for Cardiovascular Diseases

2009 ◽  
Vol 63 (4-5) ◽  
pp. 204-209
Author(s):  
Inga Stuķēna ◽  
Andrejs Kalvelis ◽  
Guntis Bahs ◽  
Uldis Teibe ◽  
Pēteris Tretjakovs ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiovascular Diseases ◽  
Carbohydrate Metabolism ◽  
Inflammatory Markers ◽  
Density Lipoprotein ◽  
Metabolic Risk Factors ◽  
Lipoprotein Cholesterol ◽  
Metabolic Risk ◽  
Model Assessment ◽  
Tnf Α

Association between Inflammatory Markers and Clinical and Metabolic Risk Factors for Cardiovascular Diseases The inflammatory reaction plays an important role in the development of atherosclerosis. The clinical significance of the main inflammatory markers — C-reactive protein (CRP), interleukin 6 (IL6), tumour necrosis factor alpha (TNF-α), plasminogen activator inhibitor 1 (PAI1), etc. — has not been fully established. CRP, IL6, TNF-α, and PAI1 were assessed in 100 patients in terms of certain clinical indicators (sex, obesity indicators, blood pressure, and heart rate), total cholesterol (TC), low-density lipoprotein-cholesterol (LDL-C), high-density lipoprotein-cholesterol (HDL-C), triglycerides (TG), glucose, insulin, homeostasis model assessment of insulin resistance (HOMA-IR), adiponectin, and leptin levels. CRP and PAI1 levels were elevated in subjects with increased body mass index (BMI) and waist circumference. CRP correlated positively with indicators of carbohydrate metabolism and negatively with TC, HDL-C, and adiponectin. PAI1 correlated positively with insulin levels, HOMA-IR, leptin, and TG, but negatively with HDL-C. IL6 correlated negatively with TC, but TNF-α correlated negatively with HDL-C. Both IL6 and TNF-α correlated positively with leptin levels. TNF-α correlated with TG levels and the indicators of carbohydrate metabolism only in women. CRP and PAI1 are the most sensitive inflammatory markers; their levels were higher in adipose subjects.

scholarly journals Serum uric acid: Association with anthropometric, lipid and complete blood count parameters in Iranian healthy population

2020 ◽  
Author(s):  
Hamid Soori ◽  
Parinaz Rezapour ◽  
Hadis Najafimehr ◽  
Toktam Alirezaei
Keyword(s):  
Uric Acid ◽  
Lipid Profile ◽  
Multiple Regression ◽  
Serum Uric Acid ◽  
Body Fat ◽  
Serum Lipid ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
Healthy Population ◽  
Lymphocyte Ratio

Abstract Objectives A relationship between elevated serum uric acid (SUA) and hypertension, metabolic syndrome and cardiovascular disease has been established. In this study, the relationship of SUA levels and anthropometric measures, serum lipid profile and neutrophil to lymphocyte ratio (NLR) and platelet to lymphocyte ratio (PLR) was examined.Methods Anthropometric parameters including body-mass index (BMI), waist circumference (WC), waist to height ratio(WHtR), waist to hip ratio(W/H), waist to pelvic ratio(W/P), neck circumference(NC), body fat mass(BFM) were obtained, and serum lipid profile containing, low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), total cholesterol, triglycerides(TG), also, NLP, PLR, basal metabolic rate (BMR), visceral fat level (VFL) and percent body fat (PBF) were measured among 2921 healthy subjects of young and middle-aged Iranian people. Statistical analysis was performed using SPSS 21 software. To assess the normality of data, the Kolmogorov–Smirnov test was used. Logarithmic transformation was performed for some variables with non-normal distribution. The association between 2 quantitative variables was measured using bivariate correlation (Pearson or Spearman). Pearson correlations and multiple regression analysis were performed to assess the correlation between variables. Simple and multiple regression analyses were performed to predict some variables. P- value <0.05 was considered significant.Results There were 1113 males (mean age, 41.49 ± 8.62 years) and 1808 females (mean age, 42.36 ± 9.07 years) in this study. the male group had a mean SUA level of 4.81± 1.2 mg/dl and the female group had a mean of 4.76 ± 1.1 mg/dl. The results of data analysis showed all studied factors were correlated with SUA level except VFL, BFM, and PLR. The highest correlation was related to skinfold fat thickness, BMR and HDL.Conclusion According to the finding of this study, SUA level measurement might be advisable in healthy population to identify those at increased risk of health problems who might benefit from further evaluation.

scholarly journals 25-Hydroxy Vitamin D, Adiponectin Levels and Cardiometabolic Risk Factors in a Sample of Obese Children

2014 ◽  
Vol 2 (4) ◽  
pp. 562-566 ◽  
Author(s):  
Nayera E. Hassan ◽  
Sahar A. El-Masry ◽  
Rokia A. El Banna ◽  
Mones M. Abu Shady ◽  
Muhammad Al-Tohamy ◽  
...  
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Vitamin D ◽  
High Density Lipoprotein ◽  
High Density Lipoprotein Cholesterol ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
Metabolic Risk ◽  
Obese Children ◽  
25 Hydroxy Vitamin D

BACKGROUND: Association between vitamin D, adiponectin and obesity is a matter of debate, as they play important role in linking obesity with different cardio metabolic risk factors.AIM: Evaluation of association between metabolic risk factors with both adiponectin and 25-Hydroxy vitamin D [25(OH) D] levels and that between adiponectin and [25(OH) D] among obese Egyptian children.SUBJECTS AND METHODS: This case-control cross sectional study consisted of 65 obese and 30 healthy children, aged 8-11 years. 25(OH) D, serum adiponectin, total cholesterol, triglycerides, high-density lipoprotein-cholesterol and low-density lipoprotein-cholesterol were measured.RESULTS: The mean 25(OH)D and adiponectin levels in the obese were lower than that in control group (?<0.000). 25(OH)D were inversely correlated with body mass index, triglyceride, total cholesterol and LDL-cholesterol. While adiponectin level were inversely correlated with systolic and diastolic blood pressure, and positively correlated with high-density lipoprotein-cholesterol. However, there is no relation between 25(OH) D and adiponectin levels among obese children and total sample.CONCLUSION: Inspite of strong association between vitamin D and adiponectin levels with metabolic risk factors and obesity, there is no relation between 25(OH)D and adiponectin levels. In obese children, There are significant negative correlations between 25(OH)D with lipid profile, and between adiponectin levels with blood pressure.

Serum uric acid is associated with metabolic risk factors for cardiovascular disease in the Uygur population

2009 ◽  
Vol 34 (6) ◽  
pp. 1032-1039 ◽  
Author(s):  
Nan F. Li ◽  
Hong M. Wang ◽  
Jin Yang ◽  
Ling Zhou ◽  
Xiao G. Yao ◽  
...  
Keyword(s):  
Risk Factors ◽  
Insulin Resistance ◽  
Blood Pressure ◽  
Uric Acid ◽  
Serum Uric Acid ◽  
Fasting Blood Glucose ◽  
Density Lipoprotein ◽  
Resistance Index ◽  
Lipoprotein Cholesterol ◽  
Model Assessment

The prevalence of hyperuricemia is low in Uygurs, who have a high prevalence of cardiovascular risk factors such as hypertension, overweight–obesity, dyslipidemia, hyperglycemia, and insulin resistance (IR). This study sought to investigate the relationships between serum uric acid (UA) and these risk factors in this population. A cross-sectional study was conducted in Uygurs (859 males, 1268 females) aged 20 to 70 years. Demographic data, systolic blood pressure (SBP), diastolic blood pressure (DBP), body mass index (BMI), and fasting and postprandial blood were obtained, and biological measurements were determined. The mean of BMI, SBP, DBP, total cholesterol, high-density lipoprotein cholesterol (HDL-c), low-density lipoprotein cholesterol (LDL-c), triglycerides, fasting blood glucose, fasting insulin, and homeostasis model assessment insulin resistance index (HOMA-IR), and the prevalence of hypertension, IR, hyperglycemia, overweight–obesity, hypercholesteremia, hyper-LDL-c, and hypertriglyceridemia increased with UA but the prevalence of hypo-HDL-c decreased (p < 0.05). Logistic regression analysis showed that the odds ratios for IR, overweight–obesity, hypercholesteremia, hyper-LDL-c, and hypertriglyceridemia against the lowest UA group increased but decreased for hypo-HDL-c (p < 0.05). The UA in the hypo-HDL-c group was lower than that of the controls; the prevalence of hypo-HDL-c in hyperuricemia subjects was lower than in those with normal UA (p < 0.05). But the opposite results were observed between overweight–obesity, hyperglycemia, IR, hypercholesteremia, hypertriglyceridemia, and hyper-LDL-c and correspondence controls, respectively (p < 0.05). In Uygur, elevated UA is associated with overweight–obesity, hypercholesteremia, hyper-LDL-c, hypertriglyceridemia, hyperglycemia, and IR. The HDL-c level significantly increases with UA, whereas the prevalence of hypo-HDL-c decreases. Further studies are needed to clarify why UA is positively correlated to HDL-c.

High uric acid levels in overweight and obese children and their relationship with cardiometabolic risk factors: what is missing in this puzzle?

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Fernanda Thomazini ◽  
Beatriz Silva de Carvalho ◽  
Priscila Xavier de Araujo ◽  
Maria do Carmo Franco
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Uric Acid ◽  
Total Cholesterol ◽  
Cardiometabolic Risk ◽  
Density Lipoprotein ◽  
Cardiometabolic Risk Factors ◽  
Lipoprotein Cholesterol ◽  
Obese Children ◽  
High Uric Acid

Abstract Objectives The prevalence of hyperuricemia, a common disorder, has been increasing. Moreover, the association between obesity, serum uric acid levels, and cardiometabolic markers in children is unclear. Therefore, this study aimed to analyze the inter-relationships between these factors in a sample of children aged 6–12 years. Methods We evaluated 764 children and stratified them according to their body mass index (BMI). Blood pressure and uric acid, creatinine, lipid, and glycemic profiles were evaluated, and the estimated glomerular filtration rate (eGFR) and the homeostatic model assessment for insulin resistance (HOMA-IR) index were calculated. Results There was a significant linear trend of increasing systolic blood pressure (SBP), diastolic blood pressure (DBP), triglycerides (TG), total cholesterol, low-density lipoprotein cholesterol (LDLc), uric acid, insulin levels, and HOMA-IR index values corresponding with overweight and obese groups; however, high-density lipoprotein cholesterol (HDLc) levels decreased with increasing obesity. The mean creatinine level and eGFR were similar across all BMI groups. Uric acid levels were significantly correlated with BMI (r=0.527), waist circumference (r=0.580), SBP (r=0.497), DBP (r=0.362), TG (r=0.534), total cholesterol (r=0.416), LDLc (r=0.286), HDLc (r=−0.248), insulin (r=0.613), and HOMA-IR index (r=0.607). Multiple regression analyses showed that BMI (B=0.071; SE=0.012; p<0.001), TG (B=0.004; SE=0.001; p<0.001), LDLc (B=0.003; SE=0.001; p=0.006), and insulin (B=0.066; SE=0.007; p<0.001) (R2=0.460) were significant predictors of increased uric acid levels and explained 46% of the variability in uric acid in these children. Conclusions Our findings suggest that overweight or obese children are more likely to have higher uric acid levels. Moreover, several cardiometabolic risk factors were strongly associated with high uric acid levels.

scholarly journals Associations between Dietary Animal and Plant Protein Intake and Cardiometabolic Risk Factors—A Cross-Sectional Study in China Health and Nutrition Survey

Nutrients ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 336
Author(s):  
Shuangli Meng ◽  
Zhixin Cui ◽  
Minjuan Li ◽  
Ting Li ◽  
Feng Wu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Uric Acid ◽  
Energy Intake ◽  
Cardiometabolic Risk ◽  
Density Lipoprotein ◽  
Cardiometabolic Risk Factors ◽  
Plant Protein ◽  
Lipoprotein Cholesterol ◽  
Nutrition Survey ◽  
Health And Nutrition

Available data investigating the associations between dietary animal and plant protein intakes and cardiometabolic risk factors (CMRFs) among populations with habitual plant-based diets are heterogenous and limited in scope. The current study was to assess the associations between dietary animal and plant protein intakes and CMRFs, including lipid and lipoprotein profiles, glucose homeostasis biomarkers, low-grade chronic inflammatory biomarker and uric acid in Chinese adults. Data of 7886 apparently healthy adults were extracted from the China Health and Nutrition Survey 2009. Dietary protein (total, animal and plant) intakes were assessed with three consecutive 24 h dietary recalls, and CMRFs were measured with standard laboratory methods. Substituting 5% of energy intake from animal protein for carbohydrates was positively associated with total cholesterol, low-density lipoprotein cholesterol (LDL-C), non-high-density lipoprotein cholesterol (non-HDL-C) and uric acid (all p < 0.05). Substituting 5% of energy intake from plant protein for carbohydrates was inversely associated with non-HDL-C and LDL-C:HDL-C ratio, and positively associated with HDL-C and glycated hemoglobin (all p < 0.05). Some of these associations varied in subgroup analyses by BMI, sex, age or region. There were no significant associations between animal or plant protein intakes and high-sensitivity C-reactive protein. The public health implication of these findings requires further investigation.

scholarly journals Health behaviors and metabolic risk factors are associated with dyslipidemia in ethnic Miao Chinese adults: the China multi-ethnic cohort study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Fang Nie ◽  
Ziyun Wang ◽  
Qibing Zeng ◽  
Han Guan ◽  
Jingyuan Yang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiovascular Risk ◽  
Health Behaviors ◽  
Cardiovascular Risk Factors ◽  
Fasting Blood Glucose ◽  
Density Lipoprotein ◽  
Metabolic Risk Factors ◽  
Lipoprotein Cholesterol ◽  
Metabolic Risk ◽  
Chinese Adults

Abstract Background Cardiovascular risk factors in Chinese ethnic minority groups are rarely reported. Objective To quantify the cardiovascular risk factors in Miao Chinese adults and to examine the association of health behaviors and metabolic risk factors with dyslipidemia. Methods A cross-sectional analysis was conducted using baseline data from the China Multi-Ethnic Cohort (CMEC) study. A representative sample of 5559 Miao participants aged 30 to 79 years were surveyed and given physical and laboratory exams. The proportion of behavioral and metabolic risk factors were described in ethnic Miao adults. Logistic regression was utilized to evaluate the odds ratio (OR) and 95% confidence interval (CI) of the association between health behaviors and metabolic risk factors with dyslipidemia. Results In Miao Chinese adults, the prevalence of dyslipidemia was 32.8%. After multivariate adjustment, subjects with poor waist-to-hip ratio (WHR), body mass index (BMI), fasting blood glucose (FBG) and blood pressure (BP) were more likely to have higher risk of triglycerides (TG) abnormality, regardless of gender and age. Furthermore, the strongly association was detected between poor WHR and low density lipoprotein cholesterol (LDL-C) abnormality (adjusted OR = 5.24, 95%CI: 2.42–11.34) in the older subgroup (≥ 60 years). Males who current smoking were an independent risk factor only for high density lipoprotein cholesterol (HDL-C) abnormality (adjusted OR = 1.44, 95%CI: 1.05–1.99). However, in the subgroup age, current smoker were at greater risk of high TG and low HDL-C. Males with regular drinking were less likely to be high LDL-C (adjusted OR = 0.51, 95%CI: 0.32–0.81). Conclusions The present findings indicated that Miao adults with metabolic risk factors were at greater risk of dyslipidemia.

Evaluation of clinical, endocrine and metabolic findings in obese children with and without hepatosteatosis

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Gunce Basarir ◽  
Bahar Ozcabi ◽  
Ozden Aksu Sayman ◽  
Hatice Ozturkmen Akay ◽  
Feyza M. Yildiz
Keyword(s):  
Uric Acid ◽  
Density Lipoprotein ◽  
Thyroid Stimulating Hormone ◽  
Fasting Insulin ◽  
Obese Children ◽  
Pubertal Stage ◽  
Alcoholic Fatty Liver ◽  
Group 2 ◽  
Group 1

Abstract Objectives Non-alcoholic fatty liver disease (NAFLD) is a common obesity-related comorbidity in childhood. In this study, we aimed to evaluate predictors of NAFLD by comparing clinical, endocrine and metabolic findings in obese children with and without hepatosteatosis. Methods Two hundred and eight obese children aged 6–18 years were included. The patients were divided into group 1 (patients with NAFLD, n=94) and group 2 (patients without NAFLD, n=114). Anthropometric measurements, pubertal stage, lipid profiles, fasting glucose and insulin, homeostatic model of assessment for insulin resistance (HOMA-IR), uric acid, total bilirubin, alanine aminotransferase (ALT), blood urea nitrogen, thyroid-stimulating hormone and free thyroxine parameters were compared retrospectively. Results The mean body weight, body mass index (BMI), height, tri-ponderal mass index (TMI), insulin, HOMA-IR, triglyceride, ALT and uric acid values were significantly higher, while high-density lipoprotein-cholesterol (HDL-C) values were significantly lower in group 1. The 70.7% of obese children with hepatosteatosis and 83.9% of those without hepatosteatosis were correctly estimated by parameters including age, gender, ALT, HDL-C, fasting insulin and uric acid values. Conclusions Since obesity-associated hepatosteatosis induces various long-term metabolic impacts in children, early detection is of critical importance. Age, gender, TMI, BMI, ALT, HDL-C, fasting insulin and uric acid values may help to predict the risk of hepatosteatosis. Besides, we assessed whether TMI compared to BMI does not have a better utility in estimating obesity-induced hepatosteatosis in children. This is the first study to show the association between TMI and hepatosteatosis in children.

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