scholarly journals Is frequency of potato and white rice consumption associated with cardiometabolic risk factors in children and adolescents: the CASPIAN-V study

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Fereshteh Baygi ◽  
Mostafa Qorbani ◽  
Mohammad Esmaeil Motlagh ◽  
Gita Shafiee ◽  
Kourosh Nouri ◽  
...  
Keyword(s):  
Risk Factors ◽  
Children And Adolescents ◽  
Cardiometabolic Risk ◽  
Cardiometabolic Risk Factors ◽  
White Rice ◽  
Rice Consumption

Assessment of the correlation between the atherogenic index of plasma and cardiometabolic risk factors in children and adolescents: might it be superior to the TG/HDL-C ratio?

2017 ◽  
Vol 30 (9) ◽  
Author(s):  
Nalan Hakime Nogay
Keyword(s):  
Risk Factors ◽  
Children And Adolescents ◽  
Strong Correlation ◽  
Cardiometabolic Risk ◽  
Density Lipoprotein ◽  
Cardiometabolic Risk Factors ◽  
Atherogenic Index ◽  
Fasting Period ◽  
Atherogenic Index Of Plasma ◽  
The Mean

AbstractBackground:Most of the studies investigating the correlation between the atherogenic index of plasma (AIP) and cardiometabolic risk factors have been conducted with adults, while only a limited number of related studies that involved children and adolescents has been conducted. The purpose of this study is to assess the correlation between the AIP and other cardiometabolic risk factors in adolescents.Methods:This study was conducted with 310 girls and 90 boys who were between the ages of 6 and 18 years. After a 10-h fasting period, the biochemical values of the participants were measured in the morning. The anthropometric measurements of the participants were also taken. The AIP was calculated as Log10 (triglycerides/high density lipoprotein-cholesterol; TG/HDL-C).Results:In adolescents between the ages of 12 and 18, the mean AIP of the group with TG ≥130 mg/dL was significantly higher than that of the groups with TG of 90–129 mg/dL and <90 mg/dL. There was a strong correlation between TG and AIP for both boys and girls among the children and adolescents, while there was a strong correlation between the TG/HDL-C ratio and TG only in the boys who were within the 6–11-year-old age group.Conclusions:An increase in AIP is associated with cardiovascular risk factors in children and adolescents other than those seen in adults. Based on the TG/HDL-C ratio, the AIP may be superior as a complementary index in the assessment of cardiometabolic risks in children and adolescents.

scholarly journals The Relationship Between Serum Uric Acid and Cardiometabolic Risk Factors in Iranian Children and Adolescents

2021 ◽  
Vol 9 (2) ◽  
pp. 167-174
Author(s):  
Motahar Heidari-Beni ◽  
◽  
Roya Riahi ◽  
Fatemeh Mohebpour ◽  
Majid Khademian ◽  
...  
Keyword(s):  
Risk Factors ◽  
Uric Acid ◽  
Waist Circumference ◽  
Children And Adolescents ◽  
Serum Uric Acid ◽  
Cardiometabolic Risk ◽  
Population Based ◽  
Cardiometabolic Risk Factors ◽  
Potential Association ◽  
Iranian Children

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.

scholarly journals Passive smoking and cardiometabolic risk factors in Iranian children and adolescents: CASPIAN-V study

2019 ◽  
Vol 18 (2) ◽  
pp. 401-408 ◽  
Author(s):  
Mehdi Ebrahimi ◽  
Mohammadreza Hashemi Aghdam ◽  
Mostafa Qorbani ◽  
Faeze Abbaspour Kaboodan ◽  
Gita Shafiee ◽  
...  
Keyword(s):  
Risk Factors ◽  
Children And Adolescents ◽  
Passive Smoking ◽  
Cardiometabolic Risk ◽  
Cardiometabolic Risk Factors ◽  
Iranian Children

Factor Analysis of Cardiometabolic Risk Factors Clustering in Children and Adolescents

2011 ◽  
Vol 9 (2) ◽  
pp. 151-156 ◽  
Author(s):  
Yousef S. Khader ◽  
Anwar Batieha ◽  
Hashim Jaddou ◽  
Zahi Batieha ◽  
Mohammed El-Khateeb ◽  
...  
Keyword(s):  
Risk Factors ◽  
Factor Analysis ◽  
Children And Adolescents ◽  
Cardiometabolic Risk ◽  
Cardiometabolic Risk Factors

Association of exposure to Bisphenol A with obesity and cardiometabolic risk factors in children and adolescents

2018 ◽  
Vol 29 (1) ◽  
pp. 94-106 ◽  
Author(s):  
Mohammad Mehdi Amin ◽  
Karim Ebrahim ◽  
Majid Hashemi ◽  
Bahareh Shoshtari-Yeganeh ◽  
Nasim Rafiei ◽  
...  
Keyword(s):  
Risk Factors ◽  
Bisphenol A ◽  
Children And Adolescents ◽  
Cardiometabolic Risk ◽  
Cardiometabolic Risk Factors

scholarly journals Association of Thyroid-Stimulating Hormone and Thyroid Hormones with Cardiometabolic Risk Factors in Euthyroid Children and Adolescents Aged 10–18 Years: A Population-Based Study

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Cheol Gyu Ma ◽  
Young Suk Shim
Keyword(s):  
Risk Factors ◽  
Children And Adolescents ◽  
Cardiometabolic Risk ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Thyroid Stimulating Hormone ◽  
Cardiometabolic Risk Factors ◽  
Reference Ranges ◽  
Glucose Levels ◽  
Elevated Glucose

Abstract Recent evidence indicates that low-normal thyroid function test results within the reference ranges may be related to increased cardiometabolic risk factors. The current study aimed to evaluate the relationship between thyroid function using thyroid-stimulating hormone (TSH) and free thyroxine (FT4) and cardiometabolic risk factors and the clustering of these risk factors (metabolic syndrome) in euthyroid children and adolescents. A total of 250 euthyroid children and adolescents aged 10–18 years were included using data from the Korea National Health and Nutrition Examination Survey (KNHANES) 2015. In the unadjusted correlation analyses, TSH was positively correlated with glucose (r = 0.172, P = 0.006), hemoglobin A1c (HbA1c) (r = 0.149, P = 0.018), insulin (r = 0.144, P = 0.023), homeostatic model assessment for insulin resistance (HOMA-IR) (r = 0.163, P = 0.010), and triglyceride (TG) (r = 0.155, P = 0.014), whereas FT4 was negatively associated with the waist circumference (WC) standard deviation score (SDS) (r = −0.134, P = 0.035), body mass index (BMI) SDS (r = −0.126, P = 0.046), insulin (r = −0.219, P < 0.001), and HOMA-IR (r = −0.211, P < 0.001). In the multiple linear regression analysis, TSH was positively associated with glucose (β = 1.179, P = 0.021), HbA1c (β = 0.044, P = 0.039), and TG (β = 8.158, P = 0.041) after adjustment for possible confounders. FT4 was negatively associated with serum fasting insulin (β = −5.884, P = 0.017) and HOMA-IR (β = −1.364, P = 0.023) in the multiple linear regression analysis. Boys and girls with elevated glucose levels had a higher adjusted mean TSH level compared to those without elevated glucose levels after controlling for confounding factors in the analysis of covariance (2.16 mIU/L vs 3.88 mIU/L, P = 0.004). Our results suggest that higher TSH and/or lower FT4 levels, even within the reference ranges, may be related to increased cardiometabolic risk factors.

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