Association of anthropometric indices with continuous metabolic syndrome in children and adolescents: the CASPIAN-V study
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This study aims to examine the association of anthropometric indices with continuous metabolic syndrome (cMetS) among Iranian children and adolescents.
This multicentric study was conducted on 14138 students aged 7–18 years, who participated in a national surveillance program. Fasting blood sample was obtained from a subsample of 3843 randomly selected students. Physical examination including the measurement of anthropometric indices and blood pressure was conducted; fasting blood glucose and lipid profile were measured; and cMetS score was computed. Standardized residuals (z-scores) were calculated for MetS components. A higher cMetS score indicates a less favorable metabolic profile. Linear regression models were applied to determine the association between cMetS and anthropometric indices.
The study participants consisted of 3843 children and adolescents (52.3% boys) with mean (SD) age of 12.45 ± 3.04 years. All anthropometric indices had positive correlation with standardized scores of mean arterial pressure, waist circumference and cMetS (P < 0.05). Standardized scores of triglycerides were positively correlated with weight and body mass index (P < 0.05). In multivariate model, general and abdominal obesity, as well as high circumferences of neck, wrist, and hip circumferences increased the standardized cMetS risk score to 1.8, 1.9, 1.6, 1.5 and 1.5, respectively (P < 0.05 for all variables).
The results demonstrated that higher anthropometric indices are associated with higher cMetS risk score in children and adolescents. This information could be valuable for screening and prevention of MetS at population level.
Level of evidence
V, cross-sectional descriptive study (National surveillance study).
KeywordsContinuous metabolic syndrome Anthropometric indices General obesity Abdominal obesity Children Adolescents
This study was supported by the Ministry of Health and Medical education, Ministry of Education and Training, Isfahan University of Medical Sciences, and Endocrinology and Metabolism Research Institute of Tehran University of Medical Sciences. We are indebted to the participating schools, families and students in the study for their cooperation.
Compliance with ethical standards
This study was funded by the Ministry of Health and Medical education, Ministry of Education and Training, Isfahan University of Medical Sciences, and Endocrinology and Metabolism Research Institute of Tehran University of Medical Sciences (Grant no. 194049).
Conflict of interest
The corresponding author states that there is no conflict of interest.
All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.
Written informed consent and oral assent were obtained from parents and participants, respectively.
- 7.Statistics MS (2004) The Third Report of the National Cholesterol Education Program Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (ATP III, NHLBI) defines the metabolic syndrome as three or more of the following abnormalities. American Heart AssociationGoogle Scholar
- 11.Raitakari OT, Porkka KV, Räsänen L, Rönnemaa T, Viikari JS (1994) Clustering and six year cluster-tracking of serum total cholesterol, HDL-cholesterol and diastolic blood pressure in children and young adults. The Cardiovascular Risk in Young Finns Study. J Clin Epidemiol 47:1085–1093CrossRefGoogle Scholar
- 13.Shafiee G, Kelishadi R, Heshmat R, Qorbani M, Motlagh ME, Aminaee T et al (2013) First report on the validity of a continuous metabolic syndrome score as an indicator for metabolic syndrome in a national sample of paediatric population—the CASPIAN-III study. Endokrynol Pol 64:278–284CrossRefGoogle Scholar
- 15.Organization WH (1995) Expert committee on physical status. Physical status: the use and interpretation of anthropometry. WHO, GenevaGoogle Scholar
- 16.Knowles KM, Paiva LL, Sanchez SE, Revilla L, Lopez T, Yasuda MB et al (2011) Waist circumference, body mass index, and other measures of adiposity in predicting cardiovascular disease risk factors among Peruvian adults. Int J Hypertens 24:931402Google Scholar
- 22.Maffeis C, Banzato C, Talamini G (2008) Obesity study group of the italian society of pediatric endocrinology and diabetology. Waist-to-height ratio, a useful index to identify high metabolic risk in overweight children. J Pediatr 152:207–213. doi: 10.1016/j.jpeds.2007.09.021 (Epub 2007 Nov 19) CrossRefPubMedGoogle Scholar
- 28.Caro DH, Cortés D (2012) Measuring family socioeconomic status: an illustration using data from PIRLS 2006. IERI Monogr Ser Issues Methodol Large Scale Assess 5:9–33Google Scholar