Anthropometric measurements for the prediction of the metabolic syndrome: a cross-sectional study on adolescents and young adults from southern india. | Department of Endocrinology, Diabetes & Metabolism
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Anthropometric measurements for the prediction of the metabolic syndrome: a cross-sectional study on adolescents and young adults from southern india.

  1. Department of Endocrinology, Diabetes & Metabolism, Christian Medical College & Hospital, Vellore, Tamil Nadu, India
  2. Department of Molecular Medicine & Surgery, Karolinska INSTITUTET, Stockholm, Sweden.
  3. Department of Endocrinology, Diabetes & Metabolism, Christian Medical College & Hospital, Vellore, Tamil Nadu, India.
  4. Department of Biostatistics, Christian Medical College, Vellore, Tamil Nadu, India.
  5. Department of Clinical Biochemistry, Christian Medical College & Hospital, Vellore, Tamil Nadu, India.

Heart Asia Vol. 3 · Issue 1 · pp. 2-7

PMID 27325971 DOI 10.1136/ha.2009.001735

Cite This Article

S K Vasan, N Thomas, S Christopher, F S Geethanjali, T V Paul, C B Sanjeevi. Anthropometric measurements for the prediction of the metabolic syndrome: a cross-sectional study on adolescents and young adults from southern india. Heart Asia. 2011;3(1):2-7. doi:10.1136/ha.2009.001735

Abstract

OBJECTIVES: To determine which anthropometric measurement correlates best with the metabolic abnormalities associated with the metabolic syndrome in adolescents and young adults.

DESIGN: Cross-sectional study.

SETTING: Schools, high schools and universities.

PARTICIPANTS: 1359 adolescents and young adults aged 14-25 years.

MAIN OUTCOME MEASURES: Anthropometric predictors of metabolic abnormalities as classified by International Diabetes Federation definition.

RESULTS: The waist circumference (OR 1.56, 95% CI 1.0 to 2.43: p≤0.01) and the abdominal skin fold thickness (OR 1.44, 95% CI 1.02 to 2.04, p≤0.01) above the third quintile cut-offs were found to be significantly associated with metabolic abnormalities. The sensitivity of either one of these measurements in predicting metabolic abnormalities was 66.1% with a negative predictive value of 82.8%. Hyperglycaemia was significantly associated with an abdominal skin fold thickness over the fourth quintile alone (OR 1.63, 95% CI 1.24 to 2.1). All the anthropometric measurements correlated well with elevated triglycerides and hypertension.

CONCLUSIONS: In a large community-based cross-sectional survey of subjects aged 14-25 years, the waist circumference and the abdominal skin fold thickness are important predictors of the metabolic abnormalities associated with metabolic syndrome. This simple clinical tool may help in a primary care setting to identify subjects who require a further biochemical evaluation and would considerably reduce the cost of unwarranted testing.

Keywords

  • Metabolic syndrome
  • adolescents
  • anthropometry
  • skin fold thickness
  • waist circumference
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