Abstract Objective To study the relationship between various metabolic syndrome (MS) components in children and adolescents and to explore its potential pathophysiological mechanism. Methods A total of 1 550 children and adolescents aged 7-14 years from the Xiaoshan District of Hangzhou, China were enrolled in March 2010. The anthropometric parameters such as height, weight, waist circumference (WC), and hip circumference, as well as blood pressure, were measured; after adjustment for age and sex, body mass index z score (BMI-z), waist circumference z score (WC-z), waist-to-hip ratio (WHp), and waist-to-height ratio (WHt) were calculated. Fasting blood samples were collected for determination of fasting plasma glucose (FPG), total cholesterol (CHOL), triglyceride (TG), high-density lipoproteins (HDL), and low-density lipoproteins (LDL). Principal component analysis was used for extraction of factors. Results Principal component analysis revealed 5 uncorrelated factors that cumulatively explained 77.76% of the observed variance. Adiposity factor, which accounted for 23.56% of the variance, was the primary factor; it consisted of 3 variables, i.e., WC-z, WHt, and BMI-z, in which WC-z had the highest loading. The remaining factors identified were blood lipid factor 1 (TG, CHOL, and LDL), blood pressure factor, blood lipid factor 2 (TG and HDL), and blood glucose and WHp factor (FPG and WHp). Conclusions More than one pathophysiological mechanism could account for the development of MS in children and adolescents. Obesity, especially central obesity, is the most important factor in the development of MS. Dyslipidemia may not fully explain insulin resistance; they may work together in MS.
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Cite this article:
WANG Di,WANG Chun-Lin. Orthogonal factor analysis of metabolic syndrome components in children and adolescents in the Xiaoshan District of Hangzhou, China[J]. CJCP, 2014, 16(6): 634-637.
WANG Di,WANG Chun-Lin. Orthogonal factor analysis of metabolic syndrome components in children and adolescents in the Xiaoshan District of Hangzhou, China[J]. CJCP, 2014, 16(6): 634-637.
Steinberger J, Daniels SR, Eckel RH, et al. Progress and challenges in metabolic syndrome in children and adolescents: a scientific statement from the American Heart Association Atherosclerosis, Hypertension, and Obesity in the Young Committee of the Council on Cardiovascular Disease in the Young; Council on Cardiovascular Nursing; and Council on Nutrition, Physical Activity, and Metabolism[J].Circulation, 2009, 119(4): 628-647.
[3]
Meigs JB. Invited commentary: insulin resistance syndrome? Syndrome X? Multiple metabolic syndrome? A syndrome at all? Factor analysis reveals patterns in the fabric of correlated metabolic risk factors[J].Am J Epidemiol, 2000, 52(10): 908-911.
[4]
Zimmet P, Alberti G, Kaufman F, et al. The metabolic syndrome in children and adolescents [J].Lancet, 2007, 369(9579): 2059- 2061.
Lafortuna CL, Adorni F, Agosti F, et al. Factor analysis of metabolic syndrome components in severely obese girls and boys[J].J Endocrinol Invest, 2009, 32(6): 552-558.
[9]
Vikram NK, Pandey RM, Misra A, et al. Factor analysis of the metabolic syndrome components in urban Asian Indian adolescents[J].Asia Pac J Clin Nutr, 2009, 18(2): 293-300.
[10]
Cali AM, Caprio S. Ectopic fat deposition and the metabolic syndrome in obese children and adolescents [J].Horm Res, 2009, 71( Suppl 1): 2-7.
[11]
Suliga E. Visceral adipose tissue in children and adolescents: a review [J].Nutr Res Rev, 2009, 22(2): 137-147.