SciELO - Scientific Electronic Library Online

 
vol.28 número5Programa informático para la realización de una valoración nutricional fenotípica y genotípica integralCapacidad predictiva de los indicadores antropométricos y de composición corporal para detectar cambios en los biomarcadores del estado inflamatorio índice de autoresíndice de materiabúsqueda de artículos
Home Pagelista alfabética de revistas  

Servicios Personalizados

Revista

Articulo

Indicadores

Links relacionados

  • En proceso de indezaciónCitado por Google
  • No hay articulos similaresSimilares en SciELO
  • En proceso de indezaciónSimilares en Google

Compartir


Nutrición Hospitalaria

versión On-line ISSN 1699-5198versión impresa ISSN 0212-1611

Resumen

SAVANE, Fatoumauta Rosita et al. Validation of self-reported weight and height university population and factors associated with differences between self reported and measured antropometrics. Nutr. Hosp. [online]. 2013, vol.28, n.5, pp.1633-1638. ISSN 1699-5198.  http://dx.doi.org/10.3305/nh.2013.28.5.6671.

Introduction: Obesity is an important public health problem related to a higher risk of death from chronic degenerative diseases such as diabetes, cardiovascular diseases and several types of cancer. In epidemiological studies of big sample size, only self-reported weight and height can be collected for feasibility reasons and body mass index (BMI) estimates may be questioned. Objectives: In this study we compare self-reported and measured weight, height and BMI in a mostly young population of university students, and explore factors associated with discrepancies between self-reported and measured data. Methods: In the period 2006-2012, 628 University students (476 women) from health sciences subject gave consent to participate in this study. Self-reported weight and height were collected by questionnaire and compared with weight and height measured afterward in health exams wearing light clothes and using standardized protocols. The validity of self-reported anthropometric estimates was explored by correlation coefficients and sensitivity, specificity, predictive values and kappa to detect measured overweight/obesity (BMI > 25 kg/m2). Multiple linear regression was used to explore the factors related to the discrepancies between self-reported and measured data. Results: The mean of self-reported weight, height and BMI was 62.5 kg, 167.6 cm and 22.1 kg/m2 and the mean of measured data was 62.6 kg, 167.4 cm y 22.2 kg/m2 respectively. Correlations between self-reported and measured data were r = 0.97 for weight, 0.96 for height and 0.95 for BMI. The sensitivity to detect overweight (IMC > 25 kg/m2) using self-reported data was 81.0%, the specificity was 98.5%, the predictive value was 90.6% and the kappa index was 0.75. The discrepancy between measured and self-reported weight, height and BMI was associated with a higher age, and a higher sleeping time was also associated to discrepancies in self-reported and measured height. Conclusions: Despite the self-reported weight and BMI may underestimate the true weight and BMI, and self-reported height overestimate, the validity of self-reported anthropometric measures is adequate to use be used in epidemiological studies among young people with a high educational level.

Palabras clave : Weight; Height; Body mass index; Obesity; Validity.

        · resumen en Español     · texto en Español     · Español ( pdf )

 

Creative Commons License Todo el contenido de esta revista, excepto dónde está identificado, está bajo una Licencia Creative Commons