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ISSN 2070-8718 (Print)

2012, Number 2

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Rev Cub Gen 2012; 6 (2)

Conicity index in a sample of Cuban children: a tool for demographic studies

Fariñas RL, Vázquez SV, Fuentes-Smith LE, Martínez FA

Language: Spanish
References: 12
Page: 31-37
PDF size: 516.57 Kb.


ABSTRACT

The conicity index method has been proposed in the literature in order to evaluate abdominal adiposity in adults, with limited application to children and teenagers. The conicity index was used in order in order to analyze the body fat distribution in 6 to 11 years old children resident in the Fontanar region in Havana. Results were analyzed and tolerance intervals allowed establishing the index distribution in three categories: low, medium and high, both by age and sex. High index values were found to be slightly increased for females, with values between 9 % and 12 % for males and females respectively. The conicity index might be an alternative method for evaluating adiposity in children, as a support tool in the diagnosis of those genetic syndromes including obesity and a characteristic fat distribution pattern.


REFERENCES

  1. Li LM, Lei SF, Chen XD,1. Den FY, Tan LJ, Zhu XZ, Deng HW. Anthropometric indices as the predictors of trunk obesity in Chinese young adults receiver operating characteristic analyses. Ann Hum Biol. 2008;35(3):342-8.

  2. Ho SY, Lam TH, Janus E. Waist to stature ratio is more strongly associated with cardiovascular risk factors than other simple 2. anthropometric indices. Ann Epidemiol. 2003;13:683-91.

  3. McCarthy HD, Ashwell M. A study of central fatness using waist-to-height ratios in UK children and adolescents over two decades 3. supports the simple message-“keep your waist circumference to less than half your height”. Int J Obes. 2006;30:988-92.

  4. Meerjady Sabrina Flora, Cgn Mascie-Taylor, Mahmudur Rahman. Conicity index of adult bangladeshi population and their socio-4. demographic characteristics. Librahim Med Coll J. 2009;3(1):1-8.

  5. Valdez R, Seidell JC, Ahn Y,Weiss KM. A new index of abdominal adiposity as an indicator of risk for cardiovascular disease. A 5. cross-population study. Int J Obes. 1992;16:77-82.

  6. Boyko EJ, Fujimoto WY, Leonetti DL, Newell-Morris L. Visceral adiposity and risk of type 2 diabetes. Diabetes Care. 2000;23:465-6. 71.

  7. Lucio Cabrerizo Miguel, Ángel Rubio, Mª Dolores Ballesteros, Carmen Moreno Lopera Complicaciones asociadas a la obesidad 7. Rev Esp Nutr Comunitaria. 2008;14(3):156-62.

  8. . Sexual dimorphism of body composition. Practice research Clinical endocrinology and metabolism. 2007;21(3):415-430. doi:10.1016/j.beem.2007.04.007.

  9. Ma Elena Díaz Sanchez. Patrones de crecimiento; las curvas de crecimiento. En: Bioantropología de la nutrición. Crecimiento, 9. madurez y desarrollo. Patrones de crecimiento; las curvas de crecimiento. La Habana: Editorial Ciencias Médicas; 2009.

  10. Passer, TH, Ziegler, P., Seifert, B., Prader, A., Molinari, L and largo, R. Measure of body mass ando f obesity from infancy to 10. adulthood and their aprópiate transformation. Ann Hum Biol. 1994;21:111-25.

  11. Pérez B M., Landaeta-Jiménez M, Amador J, Vásquez M, Marrodán, M D. Sensibilidad y especificidad de indicadores 11. antropométricos de adiposidad y distribución de grasa en niños y adolescentes venezolanos Interciencia. 2009;34(2):84-90. URL disponible en: http://redalyc.uaemex.mx/src/inicio/ArtPdfRed.jsp?iCve=33934202.

  12. Pérez 12. B, Landaeta-Jiménez M, Váquez M. Adiposity distribution in adolescents by conicity index. Acta Cient Venez. 2000;51(4):244-51.




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