scholarly journals Are There Different Criteria Affecting Prevalence of Impaired Glucose Regulation as Cardiometabolic Risk Factors in Young Adults Other than BMI and Waist Circumference?

2013 ◽  
Vol 22 (1) ◽  
pp. 100-100
Author(s):  
Yalcin Onem
2014 ◽  
Vol 33 (2) ◽  
pp. 311-315 ◽  
Author(s):  
Anna Sijtsma ◽  
Gianni Bocca ◽  
Carianne L'Abée ◽  
Eryn T. Liem ◽  
Pieter J.J. Sauer ◽  
...  

2015 ◽  
Vol 30 (2) ◽  
pp. 160-170 ◽  
Author(s):  
Laura N. Anderson ◽  
Gerald Lebovic ◽  
Jill Hamilton ◽  
Anthony J. Hanley ◽  
Brian W. McCrindle ◽  
...  

2021 ◽  
Vol 9 (2) ◽  
pp. 167-174
Author(s):  
Motahar Heidari-Beni ◽  
◽  
Roya Riahi ◽  
Fatemeh Mohebpour ◽  
Majid Khademian ◽  
...  

Context: There has been an increasing interest in epidemiological and clinical studies concerning the role of uric acid in cardiometabolic diseases, especially in children and adolescents. However, these potential relationships remain undiscovered; accordingly, its pathophysiological mechanisms remain unrecognized. This study aimed to assess the potential association between Serum Uric Acid (SUA) levels and cardiometabolic risk factors in a population-based sample of Iranian children and adolescents. Objectives: This study aimed to assess the potential association between Serum Uric Acid (SUA) levels and cardiometabolic risk factors in a population-based sample of Iranian children and adolescents. Methods: The data of 595 individuals aged 7-18 years were assessed in this research. Anthropometric measurements and laboratory tests were performed according to standardized protocols. Results: The Mean±SD age of the 595 explored students was 12.39±3.07 years. The overall Mean±SD SUA level of the study participants was measured as 4.22±1.13 mg/dL, with significant gender-wise differences (4.04±0.97 mg/dL vs 4.38±1.24 mg/dL, respectively; P<0.05). The prevalence of hyperuricemia based on the 90th percentile of SUA levels was equal to 10.6%. There was a positive association between SUA levels and abdominal obesity (waist circumference: ≥90th percentile) [Odds Ratio (OR): 1.54; 95% Confidence Interval (CI): 1.26 to 1.86] and general obesity [gender-specific Body Mass Index (BMI) for >95th percentile] (OR: 2.32; 95% CI: 1.74 to 3.11). Conclusions: This study suggested BMI and waist circumference as cardiometabolic risk factors, i.e. significantly associated with SUA levels in children and adolescents.


2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Tanica Lyngdoh ◽  
Bharathi Viswanathan ◽  
Edwin van Wijngaarden ◽  
Gary J. Myers ◽  
Pascal Bovet

We assessed the association between several cardiometabolic risk factors (CRFs) (blood pressure, LDL-cholesterol, HDL-cholesterol, triglycerides, uric acid, and glucose) in 390 young adults aged 19-20 years in Seychelles (Indian Ocean, Africa) and body mass index (BMI) measured either at the same time (cross-sectional analysis) or at the age of 12–15 years (longitudinal analysis). BMI tracked markedly between age of 12–15 and age of 19-20. BMI was strongly associated with all considered CRFs in both cross-sectional and longitudinal analyses, with some exceptions. Comparing overweight participants with those having a BMI below the age-specific median, the odds ratios for high blood pressure were 5.4/4.7 (male/female) cross-sectionally and 2.5/3.9 longitudinally (P<0.05). Significant associations were also found for most other CRFs, with some exceptions. In linear regression analysis including both BMI at age of 12–15 and BMI at age of 19-20, only BMI at age of 19-20 remained significantly associated with most CRFs. We conclude that CRFs are predicted strongly by either current or past BMI levels in adolescents and young adults in this population. The observation that only current BMI remained associated with CRFs when including past and current levels together suggests that weight control at a later age may be effective in reducing CRFs in overweight children irrespective of past weight status.


Circulation ◽  
2020 ◽  
Vol 141 (Suppl_1) ◽  
Author(s):  
Ehimen C Aneni ◽  
Marcio S Bittencourt ◽  
Miguel Caínzos Achirica ◽  
Michael J Blaha ◽  
Ahmed M Soliman ◽  
...  

Background: Little is known about hepatic steatosis (HS) incidence and its relationship to underlying or new-onset cardiometabolic risk. This study aims to assess the incidence of hepatic steatosis in an asymptomatic population and to determine its relationship to both prevalent and new-onset cardiometabolic risk factors. Methods: We analyzed retrospective data from a voluntary employer-sponsored routine health promotion evaluation at the Preventive Medicine Center of the Hospital Israelita Albert Einstein (São Paulo, Brazil) collected from October 2004 to December 2016.Medical and demographic history, anthropometric measures including blood pressure, body mass index (BMI) and waist circumference, and fasting blood samples were obtained. Participants also had ultrasonography to assess for HS. We included data from 8,448 individuals who had complete cardiometabolic and ultrasound data at baseline and repeated all tests at least 6 months later. Results: The mean age (standard deviation, SD) of participants was 40 (9) years. Over a mean (SD) follow-up of 3.4 (2.3) years, the incidence of HS was 14.7%. As shown in the table, diabetes, poor physical activity, elevated waist circumference and cigarette smoking at baseline were independently associated with hepatic steatosis. There was an additive effect of the increasing cardiometabolic risk factors (see graph) on the risk of developing HS. Participants with new-onset cardiometabolic risk factors also had a higher risk of incident HS after accounting for baseline demographics and cardiometabolic risk factors (see forest plot). This was most pronounced for incident obesity (BMI ≥ 30 Kg/m 2 ). Conclusion: In this relatively young population, the incidence of HS was high and was both independently and collectively associated with baseline cardiometabolic risk. New-onset cardiometabolic risk tracks with incident HS. This study emphasizes the need for assessing and mitigating cardiometabolic risk in the prevention of HS.


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