[Old and new anthropometric indices as insulin resistance predictors in adolescents]

Isabella Barbosa Pereira Carneiro, Helena Alves de Carvalho Sampaio, Antônio Augusto Ferreira Carioca, Francisco José Maia Pinto, Nágila Raquel Teixeira Damasceno
Arquivos Brasileiros de Endocrinologia e Metabologia 2014, 58 (8): 838-43

OBJECTIVE: Despite the importance of insulin resistance (IR) on chronic diseases development, its diagnosis remains invasive. Thus, it's necessary to develop alternative methods to predict IR on clinical practice, and the anthropometric indices are a good alternative to it. Given that, this study's purpose is to evaluate these indices behavior in relation to HOMA-IR (Homeostasis Model Assessment of Insulin Resistance).

MATERIALS AND METHODS: We collected weight, height and waist circumference from 148 adolescents. Through these indices, we calculated the body mass index (BMI), inverted body mass index (iBMI), waist-to-height ratio (WHtR) and conicity index (C index). We also collected data from body composition (body fat percentage - %BF), through electric impedance, and biochemical data (fasting glucose and insulin levels) employed on the HOMA-IR calculation. The HOMA-IR cutoff adopted was of 2.39±1.93. The statistical analysis involved the Spearman correlation analysis, multiple linear regression models and ROC (Receiver Operating Characteristic) curves construction, using 95% CI. We used the statistic pack SPSS v.18, considering p<0.05 as the significance level.

RESULTS: All anthropometric indices were statistically and positively correlated to HOMA-IR. The ROC curve showed that WC, WHtR and C index, in this order, were the most efficient to predict IR.

CONCLUSION: Among the indicators studied, those related to central fat accumulation seem the most suitable for predicting IR.

Full Text Links

Find Full Text Links for this Article


You are not logged in. Sign Up or Log In to join the discussion.

Related Papers

Remove bar
Read by QxMD icon Read

Save your favorite articles in one place with a free QxMD account.


Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"