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

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 Factor analysis for the clustering of cardiometabolic risk factors and sedentary behavior, a cross-sectional study

PLoS ONE ◽  
2020 ◽  
Vol 15 (11) ◽  
pp. e0242365
Author(s):  
Tsung-Ying Tsai ◽  
Pai-Feng Hsu ◽  
Chung-Chi Lin ◽  
Yuan-Jen Wang ◽  
Yaw-Zon Ding ◽  
...  
Keyword(s):  
Risk Factors ◽  
Factor Analysis ◽  
General Population ◽  
Sedentary Behavior ◽  
Cardiometabolic Risk ◽  
Cardiometabolic Risk Factors ◽  
Validation Group ◽  
Cvd Risk Factors ◽  
Cvd Risk ◽  
Clustering Pattern

Background Few studies have reported on the clustering pattern of CVD risk factors, including sedentary behavior, systemic inflammation, and cadiometabolic components in the general population. Objective We aimed to explore the clustering pattern of CVD risk factors using exploratory factor analysis to investigate the underlying relationships between various CVD risk factors. Methods A total of 5606 subjects (3157 male, 51.5±11.7 y/o) were enrolled, and 14 cardiovascular risk factors were analyzed in an exploratory group (n = 3926) and a validation group (n = 1676), including sedentary behaviors. Results Five factor clusters were identified to explain 69.4% of the total variance, including adiposity (BMI, TG, HDL, UA, and HsCRP; 21.3%), lipids (total cholesterol and LDL-cholesterol; 14.0%), blood pressure (SBP and DBP; 13.3%), glucose (HbA1C, fasting glucose; 12.9%), and sedentary behavior (MET and sitting time; 8.0%). The inflammation biomarker HsCRP was clustered with only adiposity factors and not with other cardiometabolic risk factors, and the clustering pattern was verified in the validation group. Conclusion This study confirmed the clustering structure of cardiometabolic risk factors in the general population, including sedentary behavior. HsCRP was clustered with adiposity factors, while physical inactivity and sedentary behavior were clustered with each other.

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

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
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