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Heshmat R, Heidari M, Ejtahed HS, et al. Validity of a continuous metabolic syndrome score as an index for modeling metabolic syndrome in children and adolescents: the CASPIAN-V study. Diabetol Metab Syndr. 2017;9:89doi: 10.1186/s13098-017-0291-4.
Heshmat, R., Heidari, M., Ejtahed, H. S., Motlagh, M. E., Mahdavi-Gorab, A., Ziaodini, H., Taheri, M., Shafiee, G., Beshtar, S., Qorbani, M., & Kelishadi, R. (2017). Validity of a continuous metabolic syndrome score as an index for modeling metabolic syndrome in children and adolescents: the CASPIAN-V study. Diabetology & metabolic syndrome, 989. https://doi.org/10.1186/s13098-017-0291-4
Heshmat, Ramin, et al. "Validity of a continuous metabolic syndrome score as an index for modeling metabolic syndrome in children and adolescents: the CASPIAN-V study." Diabetology & metabolic syndrome vol. 9 (2017): 89. doi: https://doi.org/10.1186/s13098-017-0291-4
Heshmat R, Heidari M, Ejtahed HS, Motlagh ME, Mahdavi-Gorab A, Ziaodini H, Taheri M, Shafiee G, Beshtar S, Qorbani M, Kelishadi R. Validity of a continuous metabolic syndrome score as an index for modeling metabolic syndrome in children and adolescents: the CASPIAN-V study. Diabetol Metab Syndr. 2017 Nov 09;9:89. doi: 10.1186/s13098-017-0291-4. eCollection 2017. PMID: 29151898; PMCID: PMC5679142.
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Diabetol Metab Syndr. 2017 Nov 09;9:89. doi: 10.1186/s13098-017-0291-4. eCollection 2017.

Validity of a continuous metabolic syndrome score as an index for modeling metabolic syndrome in children and adolescents: the CASPIAN-V study.

Diabetology & metabolic syndrome

Ramin Heshmat, Motahar Heidari, Hanieh-Sadat Ejtahed, Mohammad Esmaeil Motlagh, Armita Mahdavi-Gorab, Hasan Ziaodini, Majzoubeh Taheri, Gita Shafiee, Shaghayegh Beshtar, Mostafa Qorbani, Roya Kelishadi

Affiliations

  1. Chronic Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
  2. Child Department of Pediatrics, Child Growth and Development Research Center, Research Institute for Primordial Prevention of Non-communicable Disease, Isfahan University of Medical Sciences, Isfahan, Iran.
  3. Obesity and Eating Habits Research Center, Endocrinology and Metabolism Molecular -Cellular Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
  4. Department of Pediatrics, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
  5. Department of Basic and Clinical Research, Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran.
  6. Health Psychology Research Center, Education Ministry, Tehran, Iran.
  7. Office of Adolescents and School Health, Ministry of Health and Medical Education, Tehran, Iran.
  8. Student Research Committee, School of Paramedical Sciences, Iran University of Medical Sciences, Tehran, Iran.
  9. Non-communicable Diseases Research Center, Alborz University of Medical Sciences, Karaj, Iran.
  10. Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.

PMID: 29151898 PMCID: PMC5679142 DOI: 10.1186/s13098-017-0291-4

Abstract

BACKGROUND: The purpose of the present study was to assess the validity of continuous metabolic syndrome score (cMetS) for predicting metabolic syndrome (MetS) and to determine the cutoff values in a representative sample of Iranian children and adolescents.

METHODS: This national study was conducted among 3843 students, aged 7-18 years country during the fifth survey of a national school-based surveillance program. The cMetS was computed by standardizing the residuals of waist circumference, mean arterial blood pressure, high-density lipoprotein cholesterol, triglycerides, and glucose by regressing them according to age and sex and aggregating them. The optimal cut-off points of cMetS for predicting MetS were determined by the receiver operation characteristic (ROC) curve analysis in different gender and age categories.

RESULTS: Totally, 3843 students (52.3% boys) with average age of 12.45 years were assessed. The mean of cMetS increased according to elevating the number of MetS components. The overall cMetS cut-off point was 1.76 (sensitivity 93% and specificity 82%) in total pediatrics. The area under the ROC curve was 94%. The values for boys and girls were 1.79 and 2.72, respectively.

CONCLUSIONS: cMetS performed highly accurate in predicting pediatrics with MetS in all gender and age groups and it appears to be a valid index in children and adolescents.

Keywords: Continuous metabolic syndrome score; Metabolic syndrome; Pediatrics; Validity

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