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Elements for the analysis of blood lead levels in population samples

Author

Listed:
  • Terrazas Meraz

    (Universidad Autónoma del Estado de México)

  • Paola A. Ortega

    (Universidad Autónoma del Estado de México)

  • Margarita de Lorena Ramos

    (Universidad Autónoma del Estado de México)

  • Ofmara Y. Zúñiga

    (Universidad Autónoma del Estado de México)

  • Gabriela E. Rueda

    (Universidad Autónoma del Estado de México)

  • María Alejandra

    (Universidad Autónoma del Estado de México)

Abstract

Lead poisoning is a widely studied public health problem in Mexico. Methods to determine blood lead levels seek to find the quantitative concentration in ug/dL of blood lead when statistically analyzed on population samples rarely seen with normal distribution. We will discuss three ways to analyze blood lead levels by describing the differences and achievements of each type of analysis using Stata and the National Survey of Health and Nutrition (ENSANUT) 2018 open data. The study consists of a cross-sectional analysis of the capillary blood samples obtained in the survey, measured in ug/dL of blood, with three ways of statistical processing: with the logarithmic transformation for the analysis with linear regression, when analyzing the data obtained naturally with robust regression, and with categorical analysis with cutoff points referred to in international regulations with logistic regression; multivariate models were compared with the same adjustment variables. The strategies for the selection of the multivariate analysis are made not only because they are new or novel but also to maintain consistency with the results of other studies that are internationally comparable.

Suggested Citation

  • Terrazas Meraz & Paola A. Ortega & Margarita de Lorena Ramos & Ofmara Y. Zúñiga & Gabriela E. Rueda & María Alejandra, "undated". "Elements for the analysis of blood lead levels in population samples," Mexican Stata Conference 2023 16, Stata Users Group.
    • Handle: RePEc:boc:mexi23:16
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    File URL: http://repec.org/mex2023/Mexico23_Alejandra.pdf
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