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Methodology for the analysis of type 2 diabetes, metabolic syndrome and cardiovascular disease risk indicators in the ENSANUT 2006.

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Title: Methodology for the analysis of type 2 diabetes, metabolic syndrome and cardiovascular disease risk indicators in the ENSANUT 2006.
Authors: Barquera, Simón sbarquera@insp.mx, Campos-Nonato, Ismael, Carrión-Rábago, Citlali, Villalpando, Salvador, López-Ridaura, Ruy, Rojas, Rosalba, Aguilar-Salinas, Carlos A.
Source: Salud Pública de México. may2010 supplement 1, Vol. 52, pS4-S10. 7p. 3 Charts.
Subjects: OBESITY, DIABETES, HYPERTENSION, BIOMARKERS, CARDIOVASCULAR diseases risk factors, DISEASE susceptibility
Abstract (English): Objective. To describe: a) the methods used to quantify biochemical indicators of Type 2 Diabetes (T2D), and other cardiovascular risk indicators in the Mexican National Health and Nutrition Survey 2006 (ENSANUT 2006) and b) compare the sub-sample with the non-selected participants in diverse socio-demographic, anthropometric and health characteristics. Material and Methods. A sub-sample of 6 021 fasting adult participants was randomly selected from the total fasting participants (n=39 425). We compared diverse socio-demographic, anthropometric and health parameters between this sub-sample and the rest of the participants. Results. No differences were found in sociodemographics characteristics, except age, between the sub-sample and from the rest of the fasting adults. In addition no difference were found between prevalences of overweight and obesity, central obesity, and previously diagnosed high blood pressure, T2D or hypertrigliceridemia. Conclusions. The randomly selected sub-sample was not essentially different from the rest of the fasting subjects. Thus, no bias is expected in the interpretation of cardiovascular risk indicators derived from these data. [ABSTRACT FROM AUTHOR]
Abstract (Spanish): Objetivo. Describir: a) los métodos usados para definir Diabetes tipo 2 (T2D), y otros indicadores de riesgo car­diovascular en la submuestra de la Encuesta Nacional de Salud y Nutrición 2006 (ENSANUT 2006) y b) comparar en características sociodemográficas, antropométricas y otros determinantes de salud a los participantes de la submues­tra con los no seleccionados. Material y métodos. Una submuestra de 6 021 adultos fue seleccionada aleatoriamente de la totalidad de participantes en ayuno (n= 39 425). Se compararon parámetros sociodemográficos, antropométricos y de salud entre la submuestra y el resto de los participantes. Resultados. No se encontraron diferencias en ninguna de las variables sociodemográficas, a excepción de la edad; ni en la prevalencia de sobrepeso, obesidad abdominal, diag­nóstico previo de hipertensión, T2D, hipercolestrolemia e hipertrigliceridemia entre los adultos de la submuestra y los no seleccionados. Conclusiones. La submuestra no fue estadísticamente diferente del resto de los sujetos no selec­cionados. Por ello, no se espera un sesgo en la interpretación de los indicadores de riesgo cardiovascular derivados del análisis de estos datos. [ABSTRACT FROM AUTHOR]
Copyright of Salud Pública de México is the property of Instituto Nacional de Salud Publica and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Methodology for the analysis of type 2 diabetes, metabolic syndrome and cardiovascular disease risk indicators in the ENSANUT 2006.
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  Data: <searchLink fieldCode="AR" term="%22Barquera%2C+Simón%22">Barquera, Simón</searchLink><i> sbarquera@insp.mx</i><br /><searchLink fieldCode="AR" term="%22Campos-Nonato%2C+Ismael%22">Campos-Nonato, Ismael</searchLink><br /><searchLink fieldCode="AR" term="%22Carrión-Rábago%2C+Citlali%22">Carrión-Rábago, Citlali</searchLink><br /><searchLink fieldCode="AR" term="%22Villalpando%2C+Salvador%22">Villalpando, Salvador</searchLink><br /><searchLink fieldCode="AR" term="%22López-Ridaura%2C+Ruy%22">López-Ridaura, Ruy</searchLink><br /><searchLink fieldCode="AR" term="%22Rojas%2C+Rosalba%22">Rojas, Rosalba</searchLink><br /><searchLink fieldCode="AR" term="%22Aguilar-Salinas%2C+Carlos+A%2E%22">Aguilar-Salinas, Carlos A.</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22Salud+Pública+de+México%22">Salud Pública de México</searchLink>. may2010 supplement 1, Vol. 52, pS4-S10. 7p. 3 Charts.
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  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22OBESITY%22">OBESITY</searchLink><br /><searchLink fieldCode="DE" term="%22DIABETES%22">DIABETES</searchLink><br /><searchLink fieldCode="DE" term="%22HYPERTENSION%22">HYPERTENSION</searchLink><br /><searchLink fieldCode="DE" term="%22BIOMARKERS%22">BIOMARKERS</searchLink><br /><searchLink fieldCode="DE" term="%22CARDIOVASCULAR+diseases+risk+factors%22">CARDIOVASCULAR diseases risk factors</searchLink><br /><searchLink fieldCode="DE" term="%22DISEASE+susceptibility%22">DISEASE susceptibility</searchLink>
– Name: Abstract
  Label: Abstract (English)
  Group: Ab
  Data: Objective. To describe: a) the methods used to quantify biochemical indicators of Type 2 Diabetes (T2D), and other cardiovascular risk indicators in the Mexican National Health and Nutrition Survey 2006 (ENSANUT 2006) and b) compare the sub-sample with the non-selected participants in diverse socio-demographic, anthropometric and health characteristics. Material and Methods. A sub-sample of 6 021 fasting adult participants was randomly selected from the total fasting participants (n=39 425). We compared diverse socio-demographic, anthropometric and health parameters between this sub-sample and the rest of the participants. Results. No differences were found in sociodemographics characteristics, except age, between the sub-sample and from the rest of the fasting adults. In addition no difference were found between prevalences of overweight and obesity, central obesity, and previously diagnosed high blood pressure, T2D or hypertrigliceridemia. Conclusions. The randomly selected sub-sample was not essentially different from the rest of the fasting subjects. Thus, no bias is expected in the interpretation of cardiovascular risk indicators derived from these data. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label: Abstract (Spanish)
  Group: Ab
  Data: Objetivo. Describir: a) los métodos usados para definir Diabetes tipo 2 (T2D), y otros indicadores de riesgo car­diovascular en la submuestra de la Encuesta Nacional de Salud y Nutrición 2006 (ENSANUT 2006) y b) comparar en características sociodemográficas, antropométricas y otros determinantes de salud a los participantes de la submues­tra con los no seleccionados. Material y métodos. Una submuestra de 6 021 adultos fue seleccionada aleatoriamente de la totalidad de participantes en ayuno (n= 39 425). Se compararon parámetros sociodemográficos, antropométricos y de salud entre la submuestra y el resto de los participantes. Resultados. No se encontraron diferencias en ninguna de las variables sociodemográficas, a excepción de la edad; ni en la prevalencia de sobrepeso, obesidad abdominal, diag­nóstico previo de hipertensión, T2D, hipercolestrolemia e hipertrigliceridemia entre los adultos de la submuestra y los no seleccionados. Conclusiones. La submuestra no fue estadísticamente diferente del resto de los sujetos no selec­cionados. Por ello, no se espera un sesgo en la interpretación de los indicadores de riesgo cardiovascular derivados del análisis de estos datos. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Salud Pública de México is the property of Instituto Nacional de Salud Publica and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1590/S0036-36342010000700003
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      – Code: eng
        Text: English
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      – SubjectFull: DIABETES
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      – SubjectFull: HYPERTENSION
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      – SubjectFull: CARDIOVASCULAR diseases risk factors
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      – SubjectFull: DISEASE susceptibility
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              Text: may2010 supplement 1
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