scholarly journals Identification of biomarkers related to metabolically unhealthy obesity in Korean obese adolescents: A cross-sectional study

2022 ◽  
Author(s):  
Sarang Jeong ◽  
Han Byul Jang ◽  
Hyo-Jin Kim ◽  
Hye-Ja Lee
Keyword(s):  
International Diabetes Federation ◽  
Cross Sectional Study ◽  
Model Assessment ◽  
Cross Sectional ◽  
Obese Adolescents ◽  
Triglyceride Glucose Index ◽  
Metabolically Healthy ◽  
Study Participants ◽  
Metabolic Biomarkers ◽  
Metabolically Unhealthy Obesity

Abstract BackgroundObesity is classified as metabolically unhealthy obesity (MUO) and metabolically healthy obesity (MHO). The current study aimed to screen for relationships and different potential metabolic biomarkers involved between MHO and MUO in adolescents.MethodsThe study included 148 obese adolescents aged between 14 and 16. The study participants were divided into MUO and MHO groups based on the age-specific adolescent metabolic syndrome (MetS) criteria of the International Diabetes Federation. The current study was conducted to investigate the clinical and metabolic differences (AbsoluteIDQ™ p180 kit) between adolescents in the MHO group and those in the MUO group. Multivariate analyses were conducted to investigate the metabolites as independent predictors for the odds ratio and the presence of the MetS in adolescents.ResultsThere were significant differences in the 3 acylcarnitines, 5 amino acids, glutamine/glutamate ratio, 3 biogenic amines, and 2 glycerophospholipids between the obese adolescents in the MUO group and those in the MHO group. Moreover, several metabolites were associated with the prevalence of MUO in adolescents. Additionally, several metabolites were inversely correlated with MHO in adolescents of the MUO group.ConclusionsWe observed that histidine, lysine, PCaaC34:1, and several clinical factors in adolescents of the MUO group were reverse correlated with the results in adolescents of the MHO group. In addition, the triglyceride-glucose index was related to MUO in adolescents, compared with the homeostasis model assessment of insulin resistance. Thus, the biomarkers found in this study have a potential to reflect the clinical outcomes of MUO in adolescents. These biomarkers will lead to a better understanding of MetS in obese adolescents.

scholarly journals Interleukin-6 and insulin resistance in obese adolescents

2016 ◽  
Vol 53 (5) ◽  
pp. 268
Author(s):  
Raynald Takumansang ◽  
Sarah M. Warouw ◽  
Hesti Lestari
Keyword(s):  
Insulin Resistance ◽  
Interleukin 6 ◽  
Cross Sectional Study ◽  
Normal Body Mass Index ◽  
Model Assessment ◽  
Tissue Mass ◽  
Cross Sectional ◽  
Obese Adolescents ◽  
Glucose Levels ◽  
The Mean

Background Obesity has become a rapidly growing epidemic worldwide, increasing the risk of morbidity and mortality in adolescents. Obesity is due to an expansion of adipose tissue mass, which is an important source of cytokines and contributes to an increase in pro-inflammatory cytokines, such as interleukin-6 (IL-6). Interleukin-6 is significantly increased in obesity and may lead to a state of insulin resistance.Objective To assess for a correlation between IL-6 levels and insulin resistance in obese adolescentsMethods We conducted a cross-sectional study from January to April 2012 in Manado, North Sulawesi. Subjects were either obese or normal body mass index (BMI) teens aged 13-18 years. Data collected were anthropometric status, BMI, and blood specimens for fasting plasma glucose levels, fasting insulin levels, and IL-6 levels. Insulin resistance was expressed as homeostatic model assessment of insulin resistance (HOMA-IR) level >2.77. Data was analyzed by Pearson’s correlation and linear regression tests to assess for a possible correlation between IL-6 levels and insulin resistance.Results The mean BMI in the obese group was 31.21 (SD 3.61) kg/m2 while the mean BMI in the normal group was 19.52 (SD 2.38) kg/m2. There was no significant association between IL-6 and the occurrence of insulin resistance (P=0.309). The log regression coefficient value of IL-6 was negative (b = -0.329).Conclusion There is no correlation between IL-6 levels and incidence of insulin resistance in obese adolescents.

Comparison between metabolically healthy obesity and metabolically unhealthy obesity by different definitions among Mexican children

2020 ◽  
Vol 33 (2) ◽  
pp. 215-222 ◽  
Author(s):  
María Lola Evia-Viscarra ◽  
Rodolfo Guardado-Mendoza
Keyword(s):  
Blood Pressure ◽  
Family Background ◽  
Density Lipoprotein ◽  
Model Assessment ◽  
Metabolically Healthy Obesity ◽  
Cvd Risk ◽  
Cross Sectional ◽  
Mexican Children ◽  
Metabolically Healthy ◽  
Metabolically Unhealthy Obesity

AbstractBackgroundThere is no consensus on the definition of metabolically healthy obesity (MHO) and the diagnostic criteria in children.ObjectivesTo estimate the prevalence of MHO and compare clinical and biochemical characteristics between MHO and metabolically unhealthy obesity (MUO), and to evaluate the association between MUO and cardiovascular disease (CVD) risk, anthropometrics and family background using different definitions in children.MethodsThis was a cross-sectional study. Participants included 224 obese children between the years 2007 and 2017. MHO was defined by three different criteria: (i) absence of metabolic syndrome (MHO-MS), (ii) no insulin resistance (IR) by homeostatic model assessment (HOMA) <3.16 cut-off (MHO-IR3.16) and (iii) absence of IR at <95th percentile for Mexican children (MHO-95th).ResultsThe prevalence of MHO-MS, MHO-IR3.16 and MHO-IR95th was 12.9%, 56.3% and 41.5%, respectively. The prevalence of simultaneous MHO-MS plus MHO-IR95th was 5.36%. Children with MHO-MS vs. MUO-MS showed lower height, weight and body mass index (BMI) percentiles; MHO-IR3.16 vs. MUO-IR3.16 showed lower age, acanthosis, Tanner, waist circumference (WC), waist-to-height ratio (WHtR), systolic blood pressure (SBP), diastolic blood pressure (DBP) and glucose; and MHO-IR95th vs. MUO-IR95th showed lower acanthosis, WC, DBP, glucose and high high-density lipoprotein cholesterol (HDL-C). MUO-MS was associated with WC > 90th, type 2 diabetes mellitus (T2DM) in first-degree relatives and obesity in siblings. MUO-IR3.16 was associated with pubertal stages, WC > 90th, WHtR > 0.55 and fasting hyperglycemia. MUO-IR95th was associated with WHtR > 0.55 and HDL < 10th. MHO-MS and MHO-IR3.16 or MHO-IR95th did not have agreement.ConclusionsThe prevalence of MHO varied depending on the definition, although the real MHO with no MS or IR is very low. Low DBP and high HDL-C in MHO were present in any definition. Association of MUO with anthropometric, biochemical and family background differs across definitions.

The association between vitamin D levels and metabolic syndrome components among metropolitan adolescent population

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Yi-Xiong Gao ◽  
Jian Zhang ◽  
Qingqing Man ◽  
Yuqian Li ◽  
Shanshan Jia
Keyword(s):  
Metabolic Syndrome ◽  
Vitamin D ◽  
Abdominal Obesity ◽  
International Diabetes Federation ◽  
Cross Sectional Study ◽  
Consensus Definition ◽  
Cross Sectional ◽  
Vitamin D Levels ◽  
Study Participants ◽  
Nonlinear Association

Abstract Objectives Vitamin D promotes both lipolysis and lipogenesis, and some pediatric studies showed inconsistent associations between vitamin D and metabolic syndrome (MetS). This cross-sectional study aimed to examine the association between vitamin D levels and MetS components among metropolitan adolescents. Methods A total of 4,149 adolescents aged 10–18 years were recruited from 23 metropolises in China. The MetS conditions were assessed according to the International Diabetes Federation consensus definition, and the serum 25-hydroxy vitamin D (25(OH)D) concentrations were analyzed. The association between MetS components and serum 25(OH)D levels was analyzed by the logistic regression model. Restricted cubic spline was applied to the model nonlinear association. Results Prevalence of vitamin D deficiency was 74.9%, and 41.2% of study participants had at least one MetS component. After adjustment, the significant trend for a lower waist-to-height ratio was not observed in study participants with higher serum 25(OH)D quartile (p=0.57), but a significant nonlinear association between abdominal obesity and serum 25(OH)D levels was found (p=0.04): the highest risk of abdominal obesity occurred at 14.1 ng/mL of serum 25(OH)D. The association of serum 25(OH)D was significantly inverse with MetS (OR: 0.95; 95% CI: 0.92–0.98), but not with raised triglycerides (OR: 0.99; 95% CI: 0.96–1.01), raised blood pressure (OR: 0.99; 95% CI: 0.97–1.01) and impaired fasting glycemia (OR: 1.03; 95% CI: 1.01–1.04). Conclusions The net effect of vitamin D on lipid metabolism may be concentration-dependent, and the actual effect of vitamin D on MetS process may be complex among metropolitan adolescents, though serum 25(OH)D is inversely associated with MetS.

Waist Circumference as a Simple and Meaningful Means to Assess Insulin Resistance Among Outpatients with Bipolar Disorder

2009 ◽  
Vol 24 (S1) ◽  
pp. 1-1
Author(s):  
F.A. Gomes ◽  
P.V.d.S. Magalhães ◽  
M. Kunz ◽  
A. Andreazza ◽  
L. Silveira ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Bipolar Disorder ◽  
Waist Circumference ◽  
International Diabetes Federation ◽  
Roc Curves ◽  
Clinical Parameter ◽  
Cross Sectional Study ◽  
Model Assessment ◽  
Cross Sectional ◽  
Homeostatic Model Assessment

Aims:To evaluate insulin resistance (IR) among outpatients with bipolar disorder (BD) in order to determine clinical correlates of IR in this patient population.Method:We performed a cross-sectional study in sixty-five DSM-IV-TR BD patients consecutively assessed from January to August 2007 at the Bipolar Disorder Program, Hospital de Clínicas de Porto Alegre, Brazil. IR was diagnosed using the homeostatic model assessment - insulin resistance (HOMA-IR). Metabolic syndrome (MS) diagnosis and metabolic variables were assessed using three definitions: National Cholesterol Educational Program - Adult Treatment Panel III (NCEP-ATP III); NCEP-ATP III modified criteria and International Diabetes Federation (IDF).Results:IR was present in 43.1% of the sample (women 40%, men 44.4%). The prevalence of MS defined by the NCEP-ATP III criteria was 32.3%, NCEP-ATP III modified was 40% and IDF was 41.5%. NCEP-ATP III modified criteria showed the best trade-off between sensitivity (78.6%) and specificity (89.2%) to detect insulin resistance. Waist circumference was the best clinical parameter associated with IR in the linear regression model (B=0.014, SE 0.002, t=6.18, p< 0.001). Areas under ROC curves were similar for waist circumference and different MS definitions (chi2=2.98, df=3, p=0.39).Conclusion:Currently MS criteria may provide reasonable sensitivity and specificity for the detection of insulin resistance in patients with bipolar disorder. Waist circumference may be a simple and inexpensive means to predict insulin resistance in this population.

scholarly journals Children with metabolically healthy obesity have a worse metabolic profile compared to normal weight peers: a cross-sectional study

2021 ◽  
Author(s):  
Anastasios Serbis ◽  
Vasilieios Giapros ◽  
Stavroula A. Paschou ◽  
Ekaterini Siomou
Keyword(s):  
Metabolic Profile ◽  
Cross Sectional Study ◽  
Normal Weight ◽  
Age Group ◽  
Z Score ◽  
Metabolically Healthy Obesity ◽  
Cross Sectional ◽  
Pediatric Populations ◽  
Metabolically Healthy ◽  
Metabolically Unhealthy Obesity

Abstract Purpose: A phenotype of metabolically healthy obesity (MHO) has been described in youth with obesity, but data are still scarce in this age group. The aim of the current study was to describe and compare clinical and laboratory parameters related to obesity among three different groups of youth, namely youth with normal weight (NW), with MHO, and with metabolically unhealthy obesity (MUO). Methods: 103 youngsters with obesity were divided according to 2018 consensus-based criteria into those with MHO [n=49, age (± SD): 10.9 ± 2.9 years] and those with MUO [n=54, 11.5 ± 2.7 years] and were compared to age-, sex- and Tanner-matched NW [n=69, 11.3 ± 2.9 years]. Several obesity related parameters were investigated for both groups of children. Comparisons were made by analysis of variance (ANOVA) followed by the Fisher’s PLSD test. Results: Youth with MHO had lower systolic (p<0.001) and diastolic (p<0.01) blood pressure z-score and triglycerides (p<0.01), but higher HDL-C (p<0.001), total cholesterol (p<0.05), and apo-A1 (p<0.05) compared to those with MUO. Compared to controls, both children with MHO and MUO showed higher fasting insulin (p<0.05), HOMA-IR (p<0.05) and QUICKI (p<0.001). Similarly, both groups had higher hsCRP, fibrinogen, uric acid, and leptin compared to controls (for all, p<0.001), while their adiponectin was lower (p<0.05). Visfatin was higher in children with MUO compared to controls (p<0.01), and it showed a trend to be lower in children with MHO compared to those with MUO (p=0.1).Conclusion: This study provides evidence that children identified as having MHO by the consensus-based criteria had better metabolic profile than youth with MUO, but worse than NW. Further research is needed in pediatric populations both regarding MHO criteria and the nature of the MHO phenotype per se.

scholarly journals Retinol binding protein 4, obesity, and insulin resistance in adolescents

2017 ◽  
Vol 57 (1) ◽  
pp. 1
Author(s):  
Ronaldi Noor ◽  
Eka Agustria Rini ◽  
Eti Yerizel
Keyword(s):  
Insulin Resistance ◽  
Binding Protein ◽  
Cross Sectional Study ◽  
Normal Weight ◽  
Retinol Binding Protein ◽  
Model Assessment ◽  
Cross Sectional ◽  
Obese Adolescents ◽  
Insulin Resistant ◽  
Significant Difference

Background Obesity is a global problem. Even in poor and developing countries, obesity has reached alarming levels. In childhood, obesity may lead to insulin resistance. Retinol binding protein (RBP4), secreted primarily by liver and adipose tissues, was recently proposed as a link between obesity and insulin resistance. The role of RBP4 in pediatric obesity and its relationship with insulin resistance have not been well elucidated.Objective To compare RBP4 levels in obese and lean adolescents and to assess for a relationship between RBP4 levels and insulin resistance. Method This cross-sectional study was conducted in three senior high schools in Padang, West Sumatera, Indonesia. Subjects were adolescents aged 14-18 years, who were obese or normal weight (n=56). We measured subjects’ body mass index (BMI) and serum RBP4 concentrations. Insulin resistance was assessed using the homeostasis model assessment of insulin resistance (HOMA-IR) index.Results Similar RBP4 levels were found in the obese and normoweight groups (P>0.05). Higher RBP4 levels were found in the insulin resistant compared to the non-insulin resistant group, but the difference was not significant (P > 0.05).Conclusion There is no significant difference in mean RBP4 levels in obese adolescents compared to normoweight adolescents. Nor are mean RBP4 levels significantly different between obese adolescents with and without insulin resistance.  

Prevalence of metabolic syndrome and its associated factors in overweight and obese adolescents

2020 ◽  
Vol 33 (2) ◽  
pp. 233-239 ◽  
Author(s):  
Rosemeire A.S. Dejavitte ◽  
Carla C. Enes ◽  
Luciana B. Nucci
Keyword(s):  
Metabolic Syndrome ◽  
Associated Factors ◽  
Protective Factor ◽  
Adult Life ◽  
International Diabetes Federation ◽  
Density Lipoprotein ◽  
Cardiovascular Complications ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Obese Adolescents

AbstractBackgroundMetabolic syndrome (MetS) is not only a problem of adulthood but is already present in children and adolescents. The aim of this study was to estimate the prevalence of MetS in adolescents and to identify the associated factors.MethodsThis was a cross-sectional study with 354 overweight and obese school-aged adolescents (10–19 years). Sociodemographic, anthropometric, clinical, biochemical and lifestyle variables were collected. MetS was identified according to the criteria proposed by the International Diabetes Federation (IDF). Multivariate logistic regression models were used to examine the associations between risk variables and MetS.ResultsThe prevalence of MetS was 9.6%. Among adolescents with MetS, all of them had low high-density lipoprotein cholesterol (HDL-c), while 76.5% had hyperglycemia and 38.2% had hypertriglyceridemia. Only 12.1% did not present any component of MetS, while 40% had at least two components. Multivariate analysis showed that being a girl was a protective factor (odds ratio [OR] = 0.29, confidence interval [CI] = 0.13–0.65) for the presence of MetS, while obesity (OR = 3.63, CI = 1.62–8.17) and being insufficiently active (OR = 4.60, CI = 1.01–20.96) were the risk factors for MetS.ConclusionsObese and insufficiently active male adolescents are more likely to have MetS. Early identification of MetS components, especially among obese adolescents, is an important tool for the prevention of cardiovascular complications in adult life.

scholarly journals SLEEP DURATION AND METABOLIC SYNDROME IN OBESE ADOLESCENTS

2021 ◽  
Vol 16 (1) ◽  
pp. 33
Author(s):  
Nur Aisiyah Widjaja ◽  
Rendi Aji Prihaningtyas ◽  
Roedi Irawan ◽  
Meta Herdiana Hanindita
Keyword(s):  
Metabolic Syndrome ◽  
Sleep Duration ◽  
Fasting Blood Glucose ◽  
International Diabetes Federation ◽  
Hdl Cholesterol ◽  
Cross Sectional Study ◽  
Chi Square ◽  
Cross Sectional ◽  
Obese Adolescents ◽  
Glucose Levels

Shorter sleep duration is a risk factor for obesity and metabolic syndrome. Previous studies conducted on diff erent races showed inconsistent results. The purpose of this study was to analyze the diff erences in sleep duration in obese adolescents who suff er from metabolic syndrome compared with obese adolescents who do not suff er from metabolic syndrome. A cross sectional study was carried out on 59 obese adolescents who visited the Pediatric Nutrition and Metabolic Disease Clinic in Dr. Soetomo General Academic Hospital, Surabaya. Subjects were selected using total sampling techniques who met the inclusion and exclusion criteria in August-November 2018. Anthropometry (weight, height and waist circumference), blood pressure, and blood tests (HDL cholesterol levels, triglycerides, and fasting blood glucose levels) were held to determine obesity according to CDC 2000 and metabolic syndrome according to International Diabetes Federation. The diff erence in sleep duration in obese adolescents suff ering from metabolic syndrome and without metabolic syndrome analyzed using Chi square test. A total of 27 subjects (45.8%) suff ered from metabolic syndrome. Most obese adolescents (57,6%) have suffi cient sleep duration (≥ 8 hours/day). There was no sleep duration diff erences in obese adolescents suff ering and not suff ering from metabolic syndrome (p> 0.05).

Metabolic Syndrome in HIV-patients in Antiretroviral Therapy

2020 ◽  
Vol 18 (6) ◽  
pp. 388-395
Author(s):  
Daniel Vargas-Pacherrez ◽  
Helma P. Cotrim ◽  
Leonardo Pires ◽  
Vitor Cunha ◽  
Vitor Coelho ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Antiretroviral Therapy ◽  
International Diabetes Federation ◽  
Cross Sectional Study ◽  
People Living With Hiv ◽  
Anthropometric Data ◽  
Cross Sectional ◽  
History Of ◽  
Family History Of Hypertension ◽  
Living With Hiv

Introduction: The global prevalence of metabolic syndrome (MS) among people living with HIV/AIDS varies from 20% to 33%. Objective: to estimate the prevalence of metabolic syndrome and associated factors in a group of HIV-infected patients on antiretroviral therapy. Methods: This is a cross-sectional study with HIV-infected patients from a reference center in Bahia, Brazil. We evaluated clinical, socio-demographic and anthropometric data. MS was defined according to the guidelines of International Diabetes Federation. Results: We evaluated 152 patients with mean age of 47.3±11.6 years, 59.2% male. The main comorbidities detected were diabetes (3.3%) hypertriglyceridemia (9.3%) and metabolic syndrome (MS,38.2%). Patients with MS were predominantly women (55.2% vs 31.9%; p=0.005), older [52.1 (10.4) vs 44.3 (11.3); p<0.001], and had overweight (74.1% vs 23.4%; p<0.001). After multivariate analysis MS remained associated with age (OR = 1.076; 95% CI: 1.030 – 1.125), female sex (OR = 2.452; 95% CI: 1.114 – 5.374) and family history of hypertension (OR = 3.678; 95% CI: 1.431 – 9.395). Conclusion: Almost half of the HIV-infected patients in Bahia presents with MS which seems to be driven by classical risk factors.

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