Elements for the analysis of blood lead levels in population samples

Terrazas Meraz, Paola A. Ortega, Margarita de Lorena Ramos, Ofmara Y. Zúñiga, Gabriela E. Rueda and María Alejandra
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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

Mexican Stata Conference 2023 from Stata Users Group

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.

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