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Table 1.

Anthropometric and fasting biochemical parameters in study population.

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Table 2.

Prevalence of type 2 diabetes, metabolic syndrome and related metabolic abnormalities in study population.

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Table 3.

Characteristics of ROC curves used for the identification of optimum waist circumference cut-off values for the diagnosis of metabolic syndrome, insulin resistance, hypertension, dysglycaemia and dyslipidaemia.

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Table 4.

Relationship between waist circumference and percentage of subjects with and risk of, metabolic syndrome (MetS).

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Table 5.

Relationship between waist circumference and percentage of subjects with and risk of, insulin resistance.

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Table 6.

Relationship between waist circumference and percentage of subjects with and risk of, hypertension.

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Table 7.

Relationship between waist circumference and percentage of subjects with and risk of, hypo-high density lipoproteinaemia.

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Table 8.

Relationship between waist circumference and percentage of subjects with and risk of, dysglycaemia.

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